apc
Age-Period-Cohort Analysis
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.
- Version3.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release07/07/2025
Documentation
- VignetteIdentification: illustrate and check identification used in plot fit function
- VignetteIntroduction: analysis of aggregate data
- VignetteIntroduction: analysis of individual data
- VignetteIntroduction: analysis of individual data: further examples
- VignetteGenerating new models from design matrix function
- VignetteReproducing HN2016
- VignetteReproducing KN2020
- VignetteIllustrate and check identification used in plot fit function
- VignetteReproducing MMNN2016
- MaterialNEWS
- In ViewsActuarialScience
Team
Bent Nielsen
MaintainerShow author detailsZoe Fannon
Show author detailsRolesAuthor
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