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missDeaths  

Simulating and Analyzing Time to Event Data in the Presence of Population Mortality
View on CRAN: Click here


Download and install missDeaths package within the R console
Install from CRAN:
install.packages("missDeaths")

Install from Github:
library("remotes")
install_github("cran/missDeaths")

Install by package version:
library("remotes")
install_version("missDeaths", "2.7")



Attach the package and use:
library("missDeaths")
Maintained by
Tomaz Stupnik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-22
Latest Update: 2020-10-17
Description:
Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence. Also includes a powerful set of object oriented survival data simulation functions.
How to cite:
Tomaz Stupnik (2015). missDeaths: Simulating and Analyzing Time to Event Data in the Presence of Population Mortality. R package version 2.7, https://cran.r-project.org/web/packages/missDeaths
Previous versions and publish date:
1.0 (2015-06-22 01:38), 1.2 (2015-08-09 09:11), 2.0 (2017-02-05 19:28), 2.1 (2017-02-12 08:31), 2.2 (2017-02-17 14:38), 2.5.1 (2019-04-24 11:20), 2.5 (2017-05-14 19:30), 2.6 (2020-05-17 16:20)
Other packages that cited missDeaths R package
View missDeaths citation profile
Other R packages that missDeaths depends, imports, suggests or enhances
Functions, R codes and Examples using the missDeaths R package
Some associated functions: md.D . md.binom . md.censor . md.constant . md.data . md.death . md.eval . md.exp . md.expprep . md.impute . md.init . md.mvnorm . md.norm . md.sample . md.sex . md.simdataobject . md.simparams . md.simulate . md.survcox . md.survnp . md.survprob . md.survtime . md.uniform . missDeaths . observed . plus-md.simdata-md.simdataobject-method . 
Some associated R codes: RcppExports.R . exports.R . init.R . library.R . package.R .  Full missDeaths package functions and examples
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