Package: parfm 2.7.7

parfm: Parametric Frailty Models

Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.

Authors:Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]

parfm_2.7.7.tar.gz
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parfm_2.7.7.tgz(r-4.4-any)parfm_2.7.7.tgz(r-4.3-any)
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parfm.pdf |parfm.html
parfm/json (API)
NEWS

# Install 'parfm' in R:
install.packages('parfm', repos = c('https://federico-rotolo.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • asthma - Recurrent asthma attacks in children
  • culling - Culling of dairy heifer cows
  • diagnosis - Diagnosis of fracture healing
  • ecf - East Coast Fever transmission dynamics
  • insem - Time to first insemination in dairy heifer cows without time varying covariates
  • insemtvc - Time to first insemtvcination in dairy heifer cows with time varying covariates
  • mastitis - Correlated infection times in four cow udder quarters
  • reconstitution - Reconstitution of blood-milk barrier after reconstitution

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 0.82 score 16 dependencies 1 dependents 1 mentions 33 scripts 434 downloads

Last updated 2 years agofrom:da8a1afaed. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winNOTESep 01 2024
R-4.5-linuxNOTESep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:anova.parfmci.parfmcoef.parfmlogLik.parfmparfmplot.parfmplot.predict.parfmplot.select.parfmpredict.parfmprint.parfmprint.predict.parfmprint.select.parfmselect.parfmtau

Dependencies:expmlatticeMASSMatrixMatrixModelsmnormtmsmmvtnormnloptrnumDerivoptimxpracmaquantregsnSparseMsurvival