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gems
View on CRAN: Click
here
Download and install gems package within the R console
Install from CRAN:
install.packages("gems")
Install from Github:
library("remotes")
install_github("cran/gems")
Install by package version:
library("remotes")
install_version("gems", "1.1.1")
Attach the package and use:
library("gems")
Maintained by
Luisa Salazar Vizcaya
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-18
Latest Update: 2017-03-26
Description:
Simulate and analyze multistate models with general hazard
functions. gems provides functionality for the preparation of hazard functions
and parameters, simulation from a general multistate model and predicting future
events. The multistate model is not required to be a Markov model and may take
the history of previous events into account. In the basic version, it allows
to simulate from transition-specific hazard function, whose parameters are
multivariable normally distributed.
How to cite:
Luisa Salazar Vizcaya (2013). gems: Generalized Multistate Simulation Model. R package version 1.1.1, https://cran.r-project.org/web/packages/gems. Accessed 06 Nov. 2024.
Previous versions and publish date:
Other packages that cited gems R package
View gems citation profile
Other R packages that gems depends,
imports, suggests or enhances
Complete documentation for gems
Functions, R codes and Examples using
the gems R package
Some associated functions: ArtCohort . PosteriorProbabilities . cumulativeIncidence . gems . generateHazardMatrix . generateParameterCovarianceMatrix . generateParameterMatrix . simulateCohort . tavi . transition.structure . transitionProbabilities .
Some associated R codes: gems-package.R . Full gems package functions and examples
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