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Epi: Statistical Analysis in Epidemiology

Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.

Version: 2.48
Depends: R (≥ 3.5.0), utils
Imports: cmprsk, etm, splines, MASS, survival, plyr, dplyr, Matrix, numDeriv, data.table, zoo, mgcv, magrittr
Suggests: mstate, nlme, lme4, demography, popEpi, tidyr
Published: 2024-03-31
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b at bxc.dk>
License: GPL-2
URL: http://bendixcarstensen.com/Epi/
NeedsCompilation: yes
Citation: Epi citation info
In views: Epidemiology, Survival
CRAN checks: Epi results

Documentation:

Reference manual: Epi.pdf
Vignettes: Time dependent covariates in Lexis objects: addCov & addDrug
Competing risks with Lexis, parametric rates and simulation based confidence intervals
Analysis of follow-up data using the Lexis functions in Epi
Simulation of multistate models with multiple timescales: simLexis
Years of life lost (YLL)

Downloads:

Package source: Epi_2.48.tar.gz
Windows binaries: r-devel: Epi_2.48.zip, r-release: Epi_2.48.zip, r-oldrel: Epi_2.48.zip
macOS binaries: r-release (arm64): Epi_2.48.tgz, r-oldrel (arm64): Epi_2.48.tgz, r-release (x86_64): Epi_2.48.tgz, r-oldrel (x86_64): Epi_2.48.tgz
Old sources: Epi archive

Reverse dependencies:

Reverse depends: cohorttools, dani
Reverse imports: codeCollection, flexrsurv, Greg, MCARtest, popEpi, pubh
Reverse suggests: biostat3, fmsb, metafor, pander, shinyPredict

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Epi to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.