NEWS about the PCMBase R-package

Venelin Mitov

12 December, 2019

PCMBase 1.2.11

Updated package citation pointing to the recently published article: Mitov et al. 2019. Fast likelihood calculation for multivariate Gaussian phylogenetic models with shifts. Theoretical Population Biology. https://doi.org/10.1016/j.tpb.2019.11.005.
Fixed an issue causing a CRAN-check failure on one of the flavors: https://www.r-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/PCMBase-00check.html
Added functions PCMListMembers, MatchListMembers, PCMSetAttribute, PCMGetAttribute.
Added examples and improved documentation of the functions PCMLik and UpperTriFactor.
Fixed a bug in the parsing of error messages (attribute error of the result from calling PCMLik).
Fixed a bug in PCMTreeListCladePartitions. This bug was manifesting only when nNodes > 1. Hence, previous usages in PCMFit R-package are not affected.
Added argument countOnly to PCMTreeListCladePartitions.
Added new functions PCMListMembers, MatchListMembers, PCMGetAttribute, PCMSetAttribute.
Minor enhancement in the MixedGaussian constructor allowing to provide a list of PCM objects as modelTypes argument.
Added an argument diagOnly to PCMVar.
Added an argument enclos in PCMParamLocateInShortVector.
Additions to the documentation.

Speedup of PCMApplyTransformation in the case of mixed Gaussian models.
Added functions PCMExtractDimensions and PCMExtractRegimes
Added two new vignettes: PCMCreateModel.Rmd and PCMTracePruning.Rmd.
Added a new model ‘BMdrift’.
Finished parametrization vignette.
Added functions for printing a PCM object as a table - see corresponding section in the Getting started guide.
Added functions for tracing a likelihood calculation - see ?PCMLikTrace.
Some new runtime options were added - see ?PCMOptions.
Updated documentation pages.
Several bugs were found and fixed.

Important changes in the PCMTree module:
Renamed member ‘edge.regime’ in the phylo object to ‘edge.part’. The word ‘regime’ is reserved uniquely to identify a regime of an evolutionary model. An intuitive synonyme for ‘regime’ is ‘color’. The word ‘part’ stays for a monophyletic or a paraphyletic group of nodes (and the branches ending at these nodes) in a tree. It is possible to have several parts that evolve under the same model regime and, terefore, should be shown with with the same color.
new model types are made available within the package namespace. Hence, there is no need to call PCMGenerateModelTypes() after loading the package. Call PCMModels() after loading the package to see which are these model types.
Updated tests and examples due to a change in the default random generator type (see https://developer.r-project.org/blosxom.cgi/R-devel/NEWS/2019/02/28#n2019-02-28).

Added handling of standard error specified for each trait measurement. This is implemented as an additional matrix parameter called SE to the functions PCMLik, PCMSim, PCMVar, and PCMInfo.