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fdasrvf 2.2.X
fdasrvf 2.2.0
- bugfixes
- added
curve_depth
function (#31)
- clarification of multivariate functional data (#31 and #32)
- expanded
calc_shape_dist
for different pre-shape spaces
- expanded curve functions for different pre-shape spaces
- added predict functions to fpca to project new samples onto basis
fdasrvf 2.1.2
- add rlbfgs c++ code (#30)
fdasrvf 2.1.1
fdasrvf 2.1.0
- added elastic change point functions
- exposed
SqrtMeanInverse
and inv_exp_map
to global (#29)
- bugfixes
fdasrvf 2.0.3
- exposed lam to curve functions
- added gamma to shooting vector conversion functions
- bugfixes
fdasrvf 2.0.2
- added dynamic grid to DP method (#25)
- update outputs to curve functions (#26)
- extend exp_map to n-d curves (#27)
- bugfixes
fdasrvf 2.0.1
Added functionalities to kmeans_align()
(#24). Specifically:
- it gains the argument
use_verbose
which allows the user to suppress information displayed in the console;
- it includes a numeric vector storing the distances to corresponding center for each curve in the output;
- it is now possible to use the medoid as centroid type as an alternative to the mean; the medoid is the most central curve among the existing curves.
Further small improvements, documentation updates and improved code coverage (#23).
fdasrvf 2.0.0
- Added multivariate kmeans (#18);
- Added additional penalties to warping and additional outputs exposed to
bootTB()
(#19);
- Switch from travis appveyor to GHA for CI and code coverage monitoring (#20);
- Bugfixes and documentation updates.
fdasrvf 1.9.8
- bugfixes
- remove akima to interp
fdasrvf 1.9.7
fdasrvf 1.9.6
fdasrvf 1.9.5
- refactor pf curve functions
- add curve karcher median
- bugfixes
fdasrvf 1.9.4
- add elastic depth functions
fdasrvf 1.9.3
fdasrvf 1.9.2
fdasrvf 1.9.1
- Added tolerance bound functions
fdasrvf 1.9.0
- Added elastic principal component regression functions
fdasrvf 1.8.4
- centered rgam calculation
- fix bug in curve functions and image registration
fdasrvf 1.8.3
- added bayesian alignment method by Y. Lu et. al
- added multiple functional alignment function
- bugfixes to curve alginment
fdasrvf 1.8.2
- added objects for outputs of time_warping, boxplot, and pca functions
- added plot methods for the above objects
- added summary methods for the above objects
- added kmeans clustering and alignment based on Sangalli et al.
- multiple bugfixes
fdasrvf 1.8.1
- fix boxplot functions documentation
- added quantile option
- updated surface plot for boxplot functions
fdasrvf 1.8.0
- added phase and amplitude boxplot functions
- fixed issue with time_warping finding the median
fdasrvf 1.7.1
- fix memory leaks in bayesian c code
- update SqrtMean calculation to have more numerical accuracy
fdasrvf 1.7.0
- added a pair align function for 1-D data
- added bayesian alignment for 1-D functions
fdasrvf 1.6.2
- updated curve functions to support R^n
- cleaned up curve function for loops
fdasrvf 1.6.1
- bug fixes to curve functions
fdasrvf 1.6.0
- added open and closed curve function (N-D)
fdasrvf 1.5.2
- added image alignment functions and fix minor bugs
fdasrvf 1.5.1
- added gropt optimization methods and alignment
fdasrvf 1.5.0
- added simul optimization method for reparam
fdasrvf 1.4.2
fdasrvf 1.4.1
- Fixed bug in doParallel for windows computers
- Fixed numerical issues for high lambda for no warping required
fdasrvf 1.4
- Fixed memory leak in Dynamic Programming algorithm
- Updated random gamma generation to use a Fourier basis on the tangent space
- Changed over parallel support to doParallel
- Fixed documentation error
fdasrvf 1.3
- Fixed numerical issues
- Updated documentation
fdasrvf 1.2
- Changed SRVF calculation to use splines for derivatives
- Added control to the amount of warping via lambda to the time_warping function
- Fixed documentation bugs and minor bugs in horizontal PCA calculation
fdasrvf 1.1
- Updated so the parallel functions are windows compatible and windows binary can be compiled, now suggests doSNOW or doMC
- Added variance calculation to time_warping function
fdasrvf 1.0
- Initial Version of Package
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.