https://github.com/robjhyndman/demography
demography package for R
https://github.com/robjhyndman/demography
actuarial cran demography forecasting r
Last synced: 10 days ago
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demography package for R
- Host: GitHub
- URL: https://github.com/robjhyndman/demography
- Owner: robjhyndman
- Created: 2012-04-18T06:02:03.000Z (about 13 years ago)
- Default Branch: master
- Last Pushed: 2024-12-06T09:00:06.000Z (5 months ago)
- Last Synced: 2025-04-03T23:11:57.859Z (19 days ago)
- Topics: actuarial, cran, demography, forecasting, r
- Language: R
- Homepage: https://pkg.robjhyndman.com/demography
- Size: 15.9 MB
- Stars: 73
- Watchers: 12
- Forks: 25
- Open Issues: 15
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
Awesome Lists containing this project
- jimsghstars - robjhyndman/demography - demography package for R (R)
README
---
output: github_document
editor_options:
chunk_output_type: console
---```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
```# demography
[](https://cran.r-project.org/package=demography)
[](https://cran.r-project.org/web/checks/check_results_demography.html)
[](https://github.com/robjhyndman/demography/actions/workflows/R-CMD-check.yaml)
[](https://cran.r-project.org/package=demography)
[](https://www.gnu.org/licenses/gpl-3.0.en.html)
The R package `demography` provides functions for demographic analysis including: lifetable calculations; Lee-Carter modelling; functional data analysis of mortality rates, fertility rates, net migration numbers; and stochastic population forecasting.## Installation
You can install the **stable** version on
[R CRAN](https://CRAN.R-project.org/package=demography).```r
install.packages('demography', dependencies = TRUE)
```You can also install the **development** version from
[Github](https://github.com/robjhyndman/demography)```r
# install.packages("devtools")
library(devtools)
install_github("robjhyndman/demography")
```## License
This package is free and open source software, licensed under GPL (>= 3).