## 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. 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: |
2.0.0 |

Imports: |
lattice, plyr, reshape, plm, survey, lmtest, car, ISLR, AER, ggplot2, ChainLadder |

Published: |
2020-10-01 |

Author: |
Zoe Fannon, Bent Nielsen |

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:

#### Reverse dependencies:

#### Linking:

Please use the canonical form
`https://CRAN.R-project.org/package=apc`
to link to this page.