matrixdist: Statistics for Matrix Distributions

Tools for phase-type distributions including the following variants: continuous, discrete, multivariate, in-homogeneous, right-censored, and regression. Methods for functional evaluation, simulation and estimation using the expectation-maximization (EM) algorithm are provided for all models. The methods of this package are based on the following references. Asmussen, S., Nerman, O., & Olsson, M. (1996) <https://www.jstor.org/stable/4616418>, Olsson, M. (1996) <https://www.jstor.org/stable/4616419>, Albrecher, H., & Bladt, M. (2019) <doi:10.1017/jpr.2019.60>, Albrecher, H., Bladt, M., & Yslas, J. (2020) <doi:10.1111/sjos.12505>, Albrecher, H., Bladt, M., Bladt, M., & Yslas, J. (2022) <doi:10.1016/j.insmatheco.2022.08.001>, Bladt, M., & Yslas, J. (2022) <doi:10.1080/03461238.2022.2097019>, Bladt, M. (2022) <doi:10.1017/asb.2021.40>, Bladt, M. (2022). <arXiv:2110.05179>, Albrecher, H., Bladt, M., & Mueller, A. (2022) <arXiv:2207.01279>.

Version: 1.1.5
Depends: R (≥ 4.2.0)
Imports: Rcpp, methods, nnet, reshape2
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-09-29
Author: Martin Bladt [aut, cre], Jorge Yslas [aut], Alaric Müller [ctb]
Maintainer: Martin Bladt <martinbladt at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
In views: Distributions
CRAN checks: matrixdist results

Documentation:

Reference manual: matrixdist.pdf

Downloads:

Package source: matrixdist_1.1.5.tar.gz
Windows binaries: r-devel: matrixdist_1.1.5.zip, r-release: matrixdist_1.1.5.zip, r-oldrel: matrixdist_1.1.3.zip
macOS binaries: r-release (arm64): matrixdist_1.1.5.tgz, r-oldrel (arm64): matrixdist_1.1.3.tgz, r-release (x86_64): matrixdist_1.1.5.tgz, r-oldrel (x86_64): matrixdist_1.1.3.tgz
Old sources: matrixdist archive

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