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A general estimation framework for multi-state Markov processes with flexible specification of the transition intensities. The log-transition intensities can be specified through Generalised Additive Models which allow for virtually any type of covariate effect. Elementary specifications such as time-homogeneous processes and simple parametric forms are also supported. There are no limitations on the type of process one can assume, with both forward and backward transitions allowed and virtually any number of states.
Version: | 0.1.2 |
Depends: | R (≥ 2.10) |
Imports: | GJRM, mgcv, stats, trust, matrixStats, parallel |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-07-19 |
DOI: | 10.32614/CRAN.package.flexmsm |
Author: | Alessia Eletti [aut, cre], Giampiero Marra [aut], Rosalba Radice [aut] |
Maintainer: | Alessia Eletti <alessia.eletti.19 at ucl.ac.uk> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
In views: | Survival |
CRAN checks: | flexmsm results |
Reference manual: | flexmsm.pdf |
Package source: | flexmsm_0.1.2.tar.gz |
Windows binaries: | r-devel: flexmsm_0.1.2.zip, r-release: flexmsm_0.1.2.zip, r-oldrel: flexmsm_0.1.2.zip |
macOS binaries: | r-release (arm64): flexmsm_0.1.2.tgz, r-oldrel (arm64): flexmsm_0.1.2.tgz, r-release (x86_64): flexmsm_0.1.2.tgz, r-oldrel (x86_64): flexmsm_0.1.2.tgz |
Old sources: | flexmsm archive |
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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.