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penMSM
View on CRAN: Click
here
Download and install penMSM package within the R console
Install from CRAN:
install.packages("penMSM")
Install from Github:
library("remotes")
install_github("cran/penMSM")
Install by package version:
library("remotes")
install_version("penMSM", "0.99")
Attach the package and use:
library("penMSM")
Maintained by
Holger Reulen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.penMSM . penMSM results . penMSM.pdf . penMSM_0.99.tar.gz . penMSM_0.99.zip . penMSM_0.99.zip . penMSM_0.99.zip . penMSM_0.99.tgz . penMSM_0.99.tgz . penMSM_0.99.tgz . penMSM_0.99.tgz . penMSM_0.99.tgz . penMSM_0.99.tgz . penMSM archive . https://CRAN.R-project.org/package=penMSM .
First Published: 2014-07-02
Latest Update: 2015-01-12
Description:
Structured fusion Lasso penalized estimation of multi-state models with the penalty applied to absolute effects and absolute effect differences (i.e., effects on transition-type specific hazard rates).
How to cite:
Holger Reulen (2014). penMSM: Estimating Regularized Multi-state Models Using L1 Penalties. R package version 0.99, https://cran.r-project.org/web/packages/penMSM. Accessed 09 Apr. 2025.
Previous versions and publish date:
0.97 (2014-07-02 11:29)
Other packages that cited penMSM R package
View penMSM citation profile
Other R packages that penMSM depends,
imports, suggests or enhances
Complete documentation for penMSM
Functions, R codes and Examples using
the penMSM R package
Some associated functions: buildrisksets . dapproxpenalty . ddlpl . dlpl . dpenaltyfunction . fishercpp . fisherinfo . fisherinfoP . llP . lpl . penMSM . penaltymatrix . plmatrix . sF . scorevector . scorevectorP .
Some associated R codes: RcppExports.R . buildrisksets.R . dapproxpenalty.R . ddlpl.R . dlpl.R . dpenaltyfunction.R . fisherinfo.R . fisherinfoP.R . llP.R . lpl.R . penMSM.R . penaltymatrix.R . plmatrix.R . sF.R . scorevector.R . scorevectorP.R . Full penMSM package functions and examples
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