Package: MixedPoisson 2.0
Alicja Wolny-Dominiak
MixedPoisson: Mixed Poisson Models
The estimation of the parameters in mixed Poisson models.
Authors:
MixedPoisson_2.0.tar.gz
MixedPoisson_2.0.tar.gz(r-4.7-any)MixedPoisson_2.0.tar.gz(r-4.6-any)
MixedPoisson_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MixedPoisson/json (API)
| # Install 'MixedPoisson' in R: |
| install.packages('MixedPoisson', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d726290616. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 155 | ||
| linux-release-x86_64 | OK | 95 | ||
| wasm-release | OK | 102 |
Exports:est.deltaest.gammaest.nuGamma.densityinvGauss.densitylambda_m_steplambda_startll.gammall.invGaussll.lognormlognorm.densitypg.distpl.distpseudo_values
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Mixed Poisson Models | MixedPoisson-package MixedPoisson2 |
| Estimation of delta parameter of inverse-Gaussian distribution | est.delta |
| Estimation of gamma parameter of Gamma distribution | est.gamma |
| Estimation of nu parameter of log-normal distribution | est.nu |
| Gamma density | Gamma.density |
| inverse-Gaussian Density | invGauss.density |
| Estimation of Lambda in M-step - Expectation-Maximization (EM) algorithm | lambda_m_step |
| Estimation of starting lambda in Expectation-Maximization (EM) algorithm | lambda_start |
| Gamma Log-likelihood | ll.gamma |
| Inverse-Gaussian Log-likelihood | ll.invGauss |
| Log-normal Log-likelihood | ll.lognorm |
| Log-normal Density | lognorm.density |
| Poisson-Gamma Distribution (Negative-Binomial) | pg.dist |
| Poisson-Lindley Distribution | pl.dist |
| Pseudo values - Expectation-Maximization (EM) algorithm | pseudo_values |