VirtualPop: Simulation of Populations by Sampling Waiting-Time Distributions

Generates lifespans and fertility histories in continuous time using individual-level state transition (multi-state) models and data from the Human Mortality Database and the Human Fertility Database. To facilitate virtual population analysis, data on virtual individuals are stored in a data structure commonly used in sample surveys. Life histories are generated for multiple generations. The genealogies that result facilitate the study of family ties.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: msm, HMDHFDplus
Suggests: knitr, rmarkdown, ggplot2, foreign, lubridate, xml2, remotes
Published: 2022-06-23
Author: Frans Willekens ORCID iD [aut, cre], Tim Riffe ORCID iD [ctb]
Maintainer: Frans Willekens <willekens at nidi.nl>
BugReports: https://github.com/willekens/VirtualPop/issues
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: VirtualPop results

Documentation:

Reference manual: VirtualPop.pdf
Vignettes: Simulation of life histories
Sampling Piecewise-Exponential Waiting Time Distributions
VirtualPop: Simulation of individual fertility careers from age-specific fertility and mortality rates
Validation of the simulation

Downloads:

Package source: VirtualPop_1.0.2.tar.gz
Windows binaries: r-devel: VirtualPop_1.0.2.zip, r-release: VirtualPop_1.0.2.zip, r-oldrel: VirtualPop_1.0.2.zip
macOS binaries: r-release (arm64): VirtualPop_1.0.2.tgz, r-oldrel (arm64): VirtualPop_1.0.2.tgz, r-release (x86_64): VirtualPop_1.0.2.tgz

Linking:

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