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Functions for age-period-cohort analysis. Aggregate data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. 2-sample analysis is possible. Mixed frequency data are possible. Individual-level data should have a row for each individual and columns for each of age, period, and cohort. The statistical model for repeated cross-section is a generalized linear model. The statistical model for panel data is ordinary least squares. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) <doi:10.1093/biomet/asn026> is used. Thus, the analysis does not rely on ad hoc identification.
| Version: | 3.0.0 |
| Imports: | lattice, plyr, reshape, plm, survey, lmtest, car, AER, ISLR, ggplot2 |
| Published: | 2025-07-07 |
| DOI: | 10.32614/CRAN.package.apc |
| Author: | Zoe Fannon [aut], Bent Nielsen [aut, cre] |
| Maintainer: | Bent Nielsen <bent.nielsen at nuffield.ox.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | ActuarialScience |
| CRAN checks: | apc results |
| Reference manual: | apc.pdf |
| Package source: | apc_3.0.0.tar.gz |
| Windows binaries: | r-devel: apc_3.0.0.zip, r-release: apc_3.0.0.zip, r-oldrel: apc_3.0.0.zip |
| macOS binaries: | r-release (arm64): apc_3.0.0.tgz, r-oldrel (arm64): apc_3.0.0.tgz, r-release (x86_64): apc_3.0.0.tgz, r-oldrel (x86_64): apc_3.0.0.tgz |
| Old sources: | apc archive |
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