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assignR news
assignR 2.4.3
- Bug fixes and enhanced error checking
- Requires R >= 4.0
assignR 2.4.1
- Single site can be provided in wDist and will be recycled with a
message
- wDist allows specification of bandwidth for kernel density
estimation
- Bug fixes
assignR 2.4.0
- Updates and fixes in the knownOrig database (v 0.2)
- Added download of global bioavailable Sr and USA groundwater H and O
isotopes in getIsoscapes
- Bug fixes
assignR 2.3.0
- Transitioned spatial dependencies to terra package; all functions
still accept raster and sp objects for backward compatibility, but users
are encouraged to move their workflows to terra
- Instituted versioning of the knownOrig database (v 0.1)
- Performance improvements for large QA jobs
- Bug fixes
assignR 2.2.3
assignR 2.2.2
- Updated error handling in getIsoscapes
assignR 2.2.1
- Remove data from projects 14 and 15 from knownOrig dataset
assignR 2.2.0
- Add wDist function and c and plot methods for summarizing weighted
distance and bearing distributions using sample collection locations and
posterior probability maps
- QA option to run without iterative recalibration of isoscape
- Bug fixes
- Documentation edits
assignR 2.1.1
assignR 2.1.0
- Add isoStack function to stack multiple isoscapes in a single data
object; added plot s3 method for this class
- Add getIsoscape function supporting download of gridded isotope
maps; removed global precipitation maps previously distributed with
package
- Update pdRaster and QA to support multivariate analysis
- Add option to include spatial prior in QA
- Bug fixes
assignR 2.0.0
- knownOrig database has been expanded and reformatted
- New data objects document different calibration standards used to
generate known-origin H and O isotope data
- subOrigData supports transformation of data among different
calibration standard scales using the ‘standard-chain’ method of Magozzi
et al. (in press); format of return object from this function has
changed
- calRaster changes including new format for input object “known” and
use of weighted least squares regression; tissue isoscape variance
calculation updated to a + b - c, where a is isoscape grid cell
variance, b is the residual variance of tissue predictions made from
isoscape-tissue rescaling functions fit using values sampled from the
isoscape with noise, and c is the variance of the sampled isoscape
values
- QA changes including new format for input object “known” and option
to resample known data by site rather than by sample; for bySite option
returned results are the average of site-level average statistics;
argument order changed for consistency with calRaster
- sp objects updated to support WKT2_2019 strings
assignR 1.2.1
- Updates to ensure compatibility with new CRS specifications in
rgdal
- QA now accepts optional argument “by”, allowing reduced
run-time
assignR 1.2.0
- NAMESPACE imports required functions only
- Implemented testthat testing
- Minor corrections to knownOrig data
- Minor enhancements and bug fixes
assignR 1.1.3.1
- Data update: remove plover maps, add US states
assignR 1.1.3
- Shorter run-time for vignette examples
assignR 1.1.2
- Functional examples for QA
- Improved handling of graphical parameters in plotting functions
- Bug fixes
assignR 1.1.1
- Consistent syntax for saving output to disk, which requires explicit
specification of directory
- Improved messaging from functions
- Bug fixes
assignR 1.1
- Propagation of error covariance in isoscape and rescaling models
removes source of bias in posterior probabilities
- plot.QA converted to S3 method
- Bug and code fixes to pass CRAN check
assignR 1.0
Initial GitHUB release
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