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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=apc to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4