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ctmm 1.2.0 (2023-09-22)

• new function names: cde() and encounter() replacing encounter() and rates()
• new functions rsf.select(), intensity()
• new functions sdm.fit(), sdm.select()
• new function writeVector(), depreciating function writeShapefile()
• new function funnel() for funnel plots
• new function midpoint()
• new population covariance models and improved model selection in mean.ctmm()
• new argument ‘sqrt’ in distance()
• new argument ‘dt.hot’ in as.telemetry()
• new argument ‘variable’ in Log()
• new argument ‘compute’ in ctmm.loglike()
• new argument ‘t’ in proximity()
• as.telemetry() now supports GBIF format data
• as.telemetry() datum argument now works on UTM import, and is no longer to a be a complete PROJ string
• as.telemetry() timeformat=‘auto’ now default
• as.telemetry(), plot.telemetry(), rsf.fit() updated from sp to sf transforms
• distance() can now take location arguments
• plot.telemetry() col.DF & col.level arguments can now be color() lists
• suitability() now produces a raster stack corresponding to the CIs
• suitability() on population RSFs now outputs the population suitability
• suitability() extrapolation disabled
• bugfix in tbind for conflicting location classes
• bugfix in suitability()
• bugfix in distance() method=“Euclidean”, debias=TRUE
• bugfix in rates() debias=TRUE
• bugfix in summary() of population mean location DOF
• bugfix in distances() for 0/0
• bugfix in UD polygon export for tiny areas
• as.telemetry() UTM import updated to new PROJ specification
• mean.ctmm() improved convergence, numerical stability, and covariance selection
• meta() stability improvements for tiny DOF estimates, and OUf support
• overlap() and meta() can now extract object names
• pkde(…) -> akde(…) -> bandwidth(…) -> mean(…) arguments now passed
• rsf.fit() AICc formula improved

ctmm 1.1.0 (2022-11-03)

• new function pkde() for population kernel density estimates
• new functions difference(), distances(), proximity() for estimating distances between individuals
• new functions Log(), Exp() to log transform parameter estimates and their uncertainties for meta-analytic regression
• new functions dimfig(), sigfig() to represent quantities with concise units and significant digits
• new argument ‘sample’ in mean()
• new argument ‘interpolate’ in rsf.fit()
• new arguments ‘xlim’, ‘ylim’ to plot.outlie()
• numerical stability improvements in rsf.fit optimization and hessian calculations
• numerical convergence improvements in location error fitting
• numerical convergence improvements in AKDE weight optimization
• plot.telemetry() can now subset and reproject rasters
• bugfix in sp::polygon derived areas (used since v1.0.0 for summary, plot, meta)
• bugfix in agde(), suitability(), akde() when reprojecting onto the same raster
• bugfix in mean() when averaging isotropic and anisotropic models together
• bugfix in speeds() without telemetry object
• bugfix in cluster() with 0/0 bias correction error
• bugfix in occurrence() with multiple error classes
• bugfix in chi dof computation
• bugfix in outlie() for error ellipses
• summary() now works on mean.ctmm() outputs from different input model structures (OUF & OUO)
• fixed log-chi^2 bias correction in mean.ctmm()

ctmm 1.0.0 (2022-07-07)

• new function rsf.fit() to fit integrated resource selection functions (iRSFs) with autocorrelation-adjusted weighted likelihood
• new function mean.ctmm() to calculate population average movement models
• new function revisitation() to calculate the distribution of revisitations
• new function npr() to calculate non-parametric spatial regressions
• new function agde() to calculate autocorrelated Gaussian distribution estimates, with RSF support
• new function suitability() to calculate suitability rasters from RSF fit objects
• new function rates() to calculate relative encounter rates
• new function dt.plot() to inspect sampling intervals
• akde() and occurrence() now support RSF-informed kernels and boundary-respecting kernels
• summary.ctmm() now outputs diffusion rate estimates
• new argument variable for meta() to estimate population diffusion rates, mean speeds, and autocorrelation timescales
• new arguments R and SP in plot.telemetry() and plot.UD() for plotting raster and shapefile base layers
• new option method=“Encounter” in overlap()
• mean.UD() now propagates uncertainties
• mean.UD() now functions on occurrence distributions
• new convex argument to UD summary(), plot(), and export functions
• plot() and raster() now work on 3D UDs
• plot.outlie() now works on lists of outlie objects
• speed() output now includes DOF estimate for use with meta()
• tbind() now works correctly with different projections and calibrations
• %#% unit conversion operator can now interpret products and ratios
• summary() timescale confidence intervals are now gamma/inverse-gamma more inline with meta()
• progress bar added to optimizer() when trace=1
• bugfix in IID area CIs
• bugfix in ctmm.loglike() when fitting multiple error classes, where some are zero
• bugfix in ctmm.boot() when bias estimate exceeds variance parameter
• bugfixes in 3D akde()
• bugfix in time gridding code when dt is coarse
• bugfix in SpatialPoints.telemetry for single individuals

ctmm 0.6.1 (2021-07-26)

• ctmm.fit() can now fit multiple UERE parameters and update uncertain calibration parameter estimates
• new function cluster()
• new function video()
• new function as.sf()
• new function tbind()
• new argument VMM in simulate(), predict()
• new argument timeformat=“auto” in as.telemetry()
• new argument verbose in meta()
• uere()<- can now assign posterior/updated error estimates from ctmm model objects
• bugfix in ctmm.loglike() for circle!=0 and REML
• bugfixes in optimzer()
• bugfix in ctmm.fit() for 1D processes
• bugfix in variogram.fit() for 1D processes
• bugfixes in simulate(), predict for 1D processes
• bugfix in ctmm.fit() with zero variance models
• bugfix in meta() colors when sort=TRUE
• bugfixes in ctmm.guess(), ctmm.fit(), speed() for tiny amounts of data
• bugfixes in occurrence(), Kalman smoother for IOU process
• ctmm.select() now stores IC and MSPE information for summary()
• extent objects now include missing columns
• extent object longitudes can now cross the international date line

ctmm 0.6.0 (2021-01-08)

• new function meta() for meta-analysis of home-range areas
• new function encounter() for the conditional distribution of encounters (CDE)
• new function distance() to calculate square Bhattacharyya, Mahalanobis, and Euclidean distances
• new function compass() to plot a north-pointing compass
• new argument ‘t’ in speed()
• new argument ‘axes’ in outlie()
• as.telemetry() now accepts most tibble objects
• akde() on multiple individuals is now more memory efficient
• bugfix in ctmm.fit() for IOU model
• bugfix in occurrence() with repeated timestamps
• bugfix in summary.ctmm() rowname droped for single parameter CIs
• bugfix in outlie() with list input
• bugfixes in plot.outlie with zero error
• bugfix in variogram() with res>1 and CI=“Gauss”
• bugfix in ctmm.select() if stepping OU->OUf->OUF
• bugfix in as.telemetry() for Move objects with empty idData slot
• bugfix in as.telemetry(), median() when importing single location estimate
• bugfix in plot.telemery() with add=TRUE and non-SI units
• bugfix in speed() for ctmm objects (no data), where CIs were incorrect
• bugfix in median() with >=50% repeating observations
• bugfix in summary() for periodic models with tau[velocity]==0
• bugfix in occurrence() for PDclamp() error
• bugfix in ctmm.select() giving incorrect model names when run indirectly
• bugfix in occurrence() with IID autocorrelation model
• workaround in export functions where sp objects change timezones
• workaround in as.telemetry() when Move idData() names are dropped
• workaround in plot.UD() when image() has alpha overflow
• improvements to akde(), occurrence() grid argument when incomplete
• improvements to overlap() Wishart approximation in bias correction
• improvements to cleave()

ctmm 0.5.10 (2020-05-04)

• as.telemetry() location class code improved
• as.telemetry() message for marked outliers
• jaguar data in sync with ctmmweb

ctmm 0.5.9 (2020-03-23)

• new argument CI=“Gauss” in variogram()
• new argument weights in mean.UD()
• new argument datum in as.telemetry() – input and ouput datums can now differ
• new data ‘jaguar’
• bugfix in ctmm.select() for infinte loop
• improvements in ctmm.select, ctmm.loglike for collapsing variance/error estimates
• rewrite of optimizer’s line search to be more exact & reliable
• improvements in optimizer for degenerate likelihood surfaces
• improvements in optimization for bad covariance estimates—fit object structure changed
• bugfix in uere.fit with multiple location classes in different orders
• bugfix in speed when fast=FALSE and sampled models lose features
• bugfix in IID pREML CIs
• bugfix in ctmm.guess with large errors causing eigen() to fail
• bugfix in optimizer expansion search step size not increasing
• bugfix in as.telemetry() – MoveStack objects are given a common projection if not projected

ctmm 0.5.8 (2019-12-09)

• improvements to ctmm.select() stepwise selection, especially with error and/or circulation
• improvements to ctmm.fit() for nearly linear home ranges
• improvements to %#% operator – units of speed supported
• bugfix in ctmm.loglike() for BM/IOU models with error
• new argument units in plot.outlie()
• new options(time.units=‘mean’) and options(time.units=‘calendar’) for %#% operator and display units
• ctmm.select() no longer warns when model features are not supported (ctmm.fit does)
• compatibility fix for R version 4

ctmm 0.5.7 (2019-10-06)

• new function optimizer()
• new function SpatialPolygonsDataFrame.telemetry() for location estimate error circles/ellipses
• ‘pNewton’ now the default optimization method
• ‘pHREML’ now the default estimator & all CI names updated
• grid argument now supported in akde and occurrence methods
• outlie() output now includes CIs with plot method
• error-adjusted variogram implemented when fast=FALSE
• LOOCV now supported in ctmm.select(), summary()
• new buffer argument in occurrence()
• head(), tail() methods for telemetry objects
• str() method for ctmm objects
• new data object ‘pelican’
• SpatialPointsDataFrame now includes timestamp
• uere(data) <- numeric now overrides all location classes
• improved support for ARGOS-GPS hybrid data
• missing DOP values now correctly treated as separate location class
• bugfix in conditional simulations with dt argument
• bugfix in plot.UD gridlines
• bugfix in as.telemetry timeout argument when datasets lack timed-out values
• stability fixes in ctmm.fit() for BM/IOU models
• further stability enhancements in ctmm.loglike() and optimizer
• bugfix in simultaneously fit RMS UERE CIs
• AICc formulas fixed for tiny n
• reduced Z^2 now exactly normalized in UERE objects
• minor enhancements to cleave() function
• as.telemetry() no longer automatically calibrates e-obs errors (inconsistent with newer devices)
• as.telemetry() no longer complains on reverse-time-ordered files

ctmm 0.5.6 (2019-05-14)

• new functions lasso, marquee, and cleave
• new functions annotate and color
• summary can now compare joint UERE objects to lists of individualized UERE objects
• support for UTM locations in as.telemetry
• support for GPS-ARGOS hybrid data in as.telemetry & uere.fit
• new plot option ext for extent objects
• increased numerical precision in ctmm.loglike for 0 < dt << tau, including the limit OU/OUF -> BM/OU
• BM/IOU model likelihoods are now exact limits of OU/OUF likelihoods modulo a constant
• covariance matrices can now take arbitrary eccentricty and scale
• ctmm.boot new argument iterate=FALSE and bugfixes for iterate=TRUE
• ctmm.boot now debiases the covariance matrix directly (linearly)
• occurrence default dt.max & cor.min arguments now tighter
• periodogram functionality restored for one-dimensional data
• bugfix in IID ctmm.fit with elliptical errors
• bugfix in occurrence when projection origin is far from the mean location
• bugfix in akde.list where location errors were not smoothed
• bugfix in ctmm.guess/variogram.fit for BM/IOU models
• bugfix in speed for IOU models
• e-obs calibration cross checked and fixed
• ctmm.loglike now returns -Inf when movement and error variance are zero
• stability improvements to base R optimizer usage
• bugfix in mark.rm argument of as.telemetry
• cores option added to ctmm.select
• only physical cores now counted by cores arguments
• cores option now used in Windows when appropriate
• improvements to speed, speeds, ctmm.select for short tracks of data

ctmm 0.5.5 (2019-02-11)

• bugfix in summary where timescale CIs were always (0,Inf)
• ctmm.select default now level=1
• summary on UERE lists now works with more than one axis
• R dependency increased to >=3.5 for parallel functions

ctmm 0.5.4 (2019-02-07)

• bugfix in ctmm.select where OU was not considered over the new OUO/OUf models introduced in v0.5.3
• bugfix in ctmm.boot for heteroskedastic errors
• multiplicative option depreciated from ctmm.boot

ctmm 0.5.3 (2019-01-29)

• oscillatory (and critically damped) OUO/OUf models now supported, starting with omega option of ctmm()
• summary() now works on lists of UERE objects for error model selection
• MSPE slots & arguments restructured and fully utilized in both summary and ctmm.select
• new method speeds() for estimating instantaneous speeds
• speed() more efficient on very coarse data, slightly improved CIs
• new complete argument in simulate() and predict() to calculate timestamps and geographic coordinates
• now avoiding fastPOSIXct timezone and epoch issues in as.telemetry
• outlie() now works on lists of telemetry objects
• bugfixes in overlap() CIs
• overlap() now robust to bad model fits
• new as.telemetry() argument mark.rm to delete marked outliers
• bugfix in predict() & occurrence() where eccentricity was dropped from covariances
• projection information in Move & MoveStack objects now preserved if possible
• identities preserved with newer MoveStack objects
• ctmm.boot() better handles parameter estimation near boundaries
• e-obs data with missing error/speed/altitude now importing correctly in as.telemetry
• correlogram plots now cap estimates to appropriate range
• beta optimizer now more aggressive in searching along boundaries
• bugfix in ctmm.fit with duplicate timestamps and IID processes without error
• bugfix in ctmm.select with pREML & error
• summary() on telemetry lists no longer fails on length-1 timeseries
• years updated to tropical years and calendar days updated to stellar days

ctmm 0.5.2 (2018-09-10)

• location classes (multiple UEREs) now supported by uere.fit() and uere()<-
• uere() forked into separate uere() and uere.fit() methods
• AICc slot included in UERE objects for error model selection
• overlap() telemetry and CTMM arguments depreciated
• fixed bug in as.telemetry() when importing ARGOS error ellipses
• e-obs error calibration updated
• numerical stability increased in ctmm.fit when distance scales are extreme

ctmm 0.5.1 (2018-08-06)

• Units of measurement down to microns and microseconds now supported
• ctmm.select() now builds up autocovariance features stepwise to help with fit convergence
• residuals() can now be calculated from (calibrated) calibration data—diagnostic argument removed from uere()
• summary.ctmm() now returns DOF[speed] information on individuals
• MSPE of ctmm objects was previously w.r.t. in-sample times and is now time averaged
• summary.list.ctmm() now returns MSPE when useful
• new speed() argument robust for coarse data
• options multiplicative & robust added to ctmm.boot to help with parameters near boundaries
• E-OBS errors adjusted by empirical results of Scott LaPoint’s calibration data
• Telonics Gen4 errors estimates imported with results of Patricia Medici’s calibration data — Quick Fixes not yet fully supported
• fixed critical bug in speed()
• fixed bug in as.telemetry with projection argument
• fixed bugs in ctmm.loglike when !isotropic && error && circle
• fixed bug in emulate when fast=FALSE and error=TRUE
• fixed bug in new variogram error calculations (v0.5.0) used for plotting
• simultaneously fitted UERE’s from ctmm slot “error” can now be assigned to data for plotting

ctmm 0.5.0 (2018-05-15)

• Extensive re-write of the Kalman filter & smoother, now supporting an arbitrary number of spatial dimensions, necessary for ARGOS error ellipse support. (Previously, all multi-dimensional problems were transformed into multiple one-dimensional problems.) Many new models will be supported going forward, based on the v0.5.0 code.
• telemetry error vignette “error”
• ARGOS error ellipse support in ctmm.fit() and simulate()
• plotted variogram errors now estimated from HDOP and no longer assumed to be homoskedastic
• as.telemetry() default projections now use robust ellipsoidal statistics
• new median.telemetry() method for help with projecting data
• (anisotropic & circulation & error) models now exact with 2D Kalman filter & smoother
• simulate() & predict() velocities now correct with mean=“periodic”
• units argument in speed()
• REML and related methods fixed from 0.4.X 1/2 bug
• ctmm.loglike COV[mu] bugfix for circular error & elliptical movement
• summary() rotation % bugfix with circle=TRUE
• parameter boundary bugfix in ctmm.fit() and ctmm.loglike()
• fixed bandwidth() bug when weights=TRUE on IID process
• variogram.fit() manipulate more appropriate with calibrated errors
• fixed bug in plot.variogram for isotropic model fits
• fixed bug in ctmm.fit with fitted errors and any(diff(t)==0)
• fixed bug in plot.variogram() from stats::qchisq() with k<<1

ctmm 0.4.2 (2018-02-12)

• new speed() method
• new ctmm.boot() method
• new outlie() method
• new export functionality for telemetry class
• overlap debias=TRUE option (approximate)
• pHREML, pREML, HREML ctmm.fit methods implemented and documented
• IID pREML & REML AICc values implemented
• MSPE values implemented
• new uere()<- assignment method
• velocity esimtates now included in predict() [fitting one model to multiple behaviors can result in wildly optimistic confidence intervals]
• velocities now included in simulate()
• simulate precompute option
• as.telemetry drop=TRUE option
• as.telemetry will no longer drop individuals with missing data columns
• as.telemetry will try to approximate DOP values
• as.telemetry imports velocity vectors
• as.telemetry default projection orientation now robust with GmedianCOV
• plot.UD resolution grid less obnoxious, NA/FALSE contour label option
• plot.telemetry error=0:3 options for data with recorded error circles/ellipses
• plot.telemetry velocity=TRUE option for data with recorded velocities
• plot.variogram bugfixes with telemetry errors
• fixed AIC bug in new parameterization code (0.4.0-0.4.1) where isotropic=TRUE model would never be selected
• fixed rare endless loop in akde/bandwidth with weights=TRUE
• outlier removed from buffalo$Cilla

ctmm 0.4.1 (2017-08-30)

• projection method for ctmm objects

ctmm 0.4.0 (2017-08-29)

• periodigram vignette
• new utility function %#% for unit conversions
• new model-fit sampling function “emulate”
• summary now works on lists of telemetry objects
• new extent method for variogram objects
• bugfixes in plot.variogram with fit UERE, tau==0
• bugfixes with ctmm.fit/select/summary near boundaries
• resetting Polak–Ribiere formula in weighted AKDE conjugate gradient routine
• read.table fallback in as.telmetry
• R 3.4 compatibility fixes
• various improvements to plot.variogram
• plot.UD & export can now accept multiple level.UD values
• increased numerical precision in ctmm.loglike
• SI speeds & diffusion fixed with units=FALSE

ctmm 0.3.6 (2017-04-23)

• AICc formulas updated from univariate to multivariate
• ctmm.select more aggressive on small sample sizes where AICc >> AIC
• new residuals and correlogram functions
• ctmm.fit now has unified options controling optimization & differentiation
• ctmm.fit Hessian and pREML calculations 2x faster
• new writeRaster method for UD objects
• better UD plot boxes with new extent methods
• variogram fast=TRUE less biased for irregular data with new res>1 option
• variogram fast=FALSE more robust to irregularity
• akde() can now handle duplicate times (with an error model)
• plot.variogram bugfix for fixed error models [still not quite correct]
• Column name preferences in as.telemetry
• as.telemetry faster with fread & fastPOSIXct
• new trace option for ctmm.fit
• new labels option for plot.UD
• more robust CIs for pREML, REML
• chi-square CIs (area, semi-variance, etc.) more robust when DOF<1

ctmm 0.3.5 (2017-02-01)

• added a FAQ page to the documentation help(“ctmm-FAQ”)
• bugfix in occurrence method for BM & IOU models
• unit conversion can now be disabled in summary with units=FALSE argument
• added trace option to ctmm.select & bandwidth/akde
• improved telemetry error support in summary.ctmm and plot.variogram
• as.telemetry more robust to alternative column label capitalizations
• ctmm.loglike & ctmm.fit more robust when tau_velocity ~ tau_position
• Kalman filter & smoother upgraded to Joseph form covariance updates

ctmm 0.3.4 (2016-11-28)

• weighted AKDE implemented, fast option, covered in vignette
• overlap arguments & ouput changed/generalized
• method akde.bandwidth renamed to bandwidth inline with S3 standards
• predict now returns covariance estimates
• occurrence distributions now exportable
• AKDE overlap bugfixes
• summary.ctmm now returns correct RMS speed
• bugfix for eccentricity errors
• variogram CIs fixed for odd dimensions
• variogram.fit can now accept OU models
• periodogram rare index bugfix
• fixed missing lag in dt-argumented variogram
• as.telemetry column identification more robust
• as.telemetry defined for MoveStack objects

ctmm 0.3.3 (2016-09-05)

• improved import of ‘move’ objects
• preliminary 3D AKDE support, debiased
• new method predict for ctmm objects
• akde now supports smoothing errors
• variogram.fit and plot.variogram now support telemetry error
• UERE fitting now possible simultaneous with tracking data
• tag.local.identifier now used as backup to individual.local.identifier in as.telemetry
• multiple bug fixes in uere
• res.space fixed in occurrence

ctmm 0.3.2 (2016-05-12)

• new function overlap for stationary Gaussian distributions and KDEs
• new function uere calculates UERE from calibration data
• akde debias argument removes most bias from area estimtes, now default
• akde CIs further improved
• variogram, periodogram generalized to arbitrary dimensions
• periodic mean function option for ctmm, ctmm.fit, ctmm.select, plot.variogram, summary (not yet documented)
• new method residuals for ctmm objects
• ctmm.select now only considers likely model modifications
• DOFs now returned in summary
• new methods [.telemetry, [.variogram, [.periodogram, subset.periodogram
• methods for zoom, raster, writeShapefile now properly assigned to generics
• new plot.periodogram option max
• new periodogram option res.time (with Lagrange interpolation). Old option res renamed to res.freq.
• akde res argument is now relative to the bandwidth
• occurrence res.space argument is now relative to the average diffusion
• plot.telemetry with data error now uses level.UD for error radius instead of one standard deviation
• gridding function for fast=TRUE variogram and periodogram now always fast
• bad location removed from buffalo “Pepper”

ctmm 0.3.1 (2016-02-23)

• variogram.fit now stores global variables of any name
• variogram.fit sliders now use pretty units
• variogram.fit range argument depreciated in favor of a more general CTMM prototype argument
• akde UD CIs significantly improved for high quality datasets
• akde bugfix: subscript out of bounds
• circulatory model introduced via circle ctmm argument
• oscillatory CPF model introduced via CPF ctmm argument
• as.telemetry now imports GPS.HDOP columns with a UERE argument
• summary now works on arbitrary lists of ctmm objects
• ctmm.fit now tries to make sense of ML parameters that lie on boundaries
• occurrence() now works when some timesteps are tiny

ctmm 0.3.0 (2015-11-26)

• new function “occurrence” to estimate occurrence distributions
• “akde” & “occurrence” class objects generalized to “UD” class
• alpha & alpha.HR arguments simplified and generalized to level & level.UD
• AKDE= and .HR= arguments generalized to UD= and .UD=
• new basic telemetry error functionality in ctmm, ctmm.fit
• new function ctmm.select
• new methods subset.telemetry and subset.variogram
• fixed a bug in the uncertainty report of uncorrelated processes
• ctmm.fit is now much faster by specifying a reasonable parscale for optim
• ctmm.fit now has a backup for when Brent fails

ctmm 0.2.9 (2015-10-13)

• fixed a rare condition in ctmm.fit where solve would fail on correlated errors
• multiscale variogram and mean variogram example in vignette
• new data example Mongolian gazelle
• new fast option for periodogram
• improvements in plot.periodogram
• bugfix in as.telemetry for numeric indentifiers
• bugfix in dt array option of variogram
• new resolution option and better estimation algorithms in akde
• alpha, alpha.HR, res arguments made consistent across all functions

ctmm 0.2.8 (2015-08-25)

• efficiency gains in as.telemetry with multiple animals
• bugfix in plot.telemetry for multiple Gaussian PDFs
• bugfix in variogram for rare condition when fast=TRUE

ctmm 0.2.7 (2015-07-27)

• CRAN check compliance achieved.
• all methods (plot, mean, summary, simulate) can and must be run without class extensions
• argument names no longer clash with function names and are more explicit about their object class

ctmm 0.2.6 (2015-07-17)

• export bugfixes

ctmm 0.2.5 (2015-07-14)

• IOU bug fixes in ctmm.fit and plot.variogram

ctmm 0.2.4 (2015-06-28)

• cleaned up and labeled tau parameter arrays
• implemented Workaround for when subset demotes S4 objects to S3 objects
• plot.telemetry now enforces asp=1 even with xlim/ylim arguments

ctmm 0.2.3 (2015-06-19)

• new function summary.telemetry
• bugfix in as.telemetry for data$t
• bugfix in ctmm.loglike for some cases with numeric underflow
• periodogram and plot.periodogram can now check for spurious periodicities
• minimal support for BM and IOU motion

ctmm 0.2.2 (2015-05-21)

• new functions periodogram, plot.periodogram

ctmm 0.2.1 (2015-05-08)

• new function SpatialPoints.telemetry returns SpatialPoints object from telemetry data
• new function SpatialPolygonsDataFrame.akde returns akde home-range contour SpatialPolygons objects from akde object
• new function writeShapefile.akde writes akde home-range contours to ESRI shapefile
• new function raster.akde returns akde pdf raster object
• new function summary.akde returns HR area of AKDE
• fixed bad CI in plot.telemetry model option
• as.telemetry now takes a timezone argument for as.POSIXct and defaults to UTC
• telemetry, ctmm, and akde objects now have idenification and projection information slotted, with consistent naming throughout

ctmm 0.2.0 (2015-04-27)

• vignettes “variogram” and “akde”
• new function as.telemetry imports MoveBank formatted csv data and returns telemetry objects
• new function variogram.zoom plots a variogram with zoom slider
• variogram.fit and variogram.zoom default to a logarithmic-scale zoom slider, which requires much less fiddling
• plot.variogram now takes multiple variogram, model, and color options
• plot.telemetry now takes multiple data, model, akde, and color options
• plot.telemetry can now make probability density plots for both Gaussian model and akde data
• ctmm.fit no longer screws up results with initial sigma guesstimates. ML parameter estimates now match closely with published Mathematica results. CIs are improved.
• ks-package was producing incorrect home-range contours and has been replaced with custom code. ML home ranges now match published Mathematica results. CIs should be improved.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.