The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

gompertztrunc: Conducting Maximum Likelihood Estimation with Truncated Mortality Data

Estimates hazard ratios and mortality differentials for doubly-truncated data without population denominators. This method is described in Goldstein et al. (2023) <doi:10.1007/s11113-023-09785-z>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: broom, cowplot, data.table, dplyr, flexsurv, ggplot2, ggsci, grid, magrittr, modelr, rlang, stats, stringr, tibble, tidyr
Suggests: knitr, rmarkdown, socviz, tidyverse
Published: 2024-02-29
Author: Casey Breen ORCID iD [aut], Maria Osborne [aut, cre], Joshua R. Goldstein [aut]
Maintainer: Maria Osborne <mariaosborne at berkeley.edu>
BugReports: https://github.com/caseybreen/gompertztrunc/issues
License: GPL (≥ 3)
URL: https://caseybreen.github.io/gompertztrunc/, https://github.com/caseybreen/gompertztrunc
NeedsCompilation: no
Materials: NEWS
CRAN checks: gompertztrunc results

Documentation:

Reference manual: gompertztrunc.pdf
Vignettes: Analyzing doubly-truncated mortality data using the gompertztrunc package

Downloads:

Package source: gompertztrunc_0.1.2.tar.gz
Windows binaries: r-devel: gompertztrunc_0.1.2.zip, r-release: gompertztrunc_0.1.2.zip, r-oldrel: gompertztrunc_0.1.2.zip
macOS binaries: r-release (arm64): gompertztrunc_0.1.2.tgz, r-oldrel (arm64): gompertztrunc_0.1.2.tgz, r-release (x86_64): gompertztrunc_0.1.2.tgz, r-oldrel (x86_64): gompertztrunc_0.1.2.tgz
Old sources: gompertztrunc archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gompertztrunc 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.