Package: ctmcd 1.4.4

Marius Pfeuffer
ctmcd: Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data
Estimation of Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal and weighted adjustment of matrix logarithm based candidate solutions as in Israel (2001) <doi:10.1111/1467-9965.00114> as well as a quasi-optimization approach. Moreover, the expectation-maximization algorithm and the Gibbs sampling approach of Bladt and Sorensen (2005) <doi:10.1111/j.1467-9868.2005.00508.x> are included.
Authors:
ctmcd_1.4.4.tar.gz
ctmcd_1.4.4.zip(r-4.7-x86_64)ctmcd_1.4.4.zip(r-4.7-arm64)ctmcd_1.4.4.zip(r-4.6-x86_64)ctmcd_1.4.4.zip(r-4.6-arm64)
ctmcd_1.4.4.tar.gz(r-4.7-arm64)ctmcd_1.4.4.tar.gz(r-4.7-x86_64)ctmcd_1.4.4.tar.gz(r-4.6-arm64)ctmcd_1.4.4.tar.gz(r-4.6-x86_64)
ctmcd_1.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ctmcd/json (API)
| # Install 'ctmcd' in R: |
| install.packages('ctmcd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- tm_abs - Single Year Corporate Credit Rating Transititions
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:70686c4f30. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 137 | ||
| linux-devel-x86_64 | OK | 149 | ||
| source / vignettes | OK | 217 | ||
| linux-release-arm64 | OK | 126 | ||
| linux-release-x86_64 | OK | 152 | ||
| windows-devel-arm64 | OK | 239 | ||
| windows-devel-x86_64 | OK | 158 | ||
| windows-release-arm64 | OK | 212 | ||
| windows-release-x86_64 | OK | 116 | ||
| wasm-release | OK | 128 |
Exports:ciEMBSciEMoFIciEMSdRciGSctmcdlogLikgmgm.defaultgmcigmci.defaultgmDAgmEMgmGSgmQOgmWAplot.gmplot.gmciplotMprint.gmprint.gmcirNijTRiT_ModRejrNijTRiT_Unifsummary.gmtmci
Last update: 2018-06-03
Started: 2016-08-16
Last update: 2017-10-09
Started: 2017-10-09
