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apc (version 2.0.1)

Age-Period-Cohort Analysis

Description

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) is used. Thus, the analysis does not rely on ad hoc identification.

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Version

Install

install.packages('apc')

Monthly Downloads

414

Version

2.0.1

License

GPL-3

Maintainer

Bent Nielsen

Last Published

June 15th, 2025

Functions in apc (2.0.1)

apc.forecast.apc

Forecast models with APC structure.
apc.get.index

Get indices for mapping data into trapezoid formation
apc.fit.model

Fits an age period cohort model
apc.forecast.ap

Forecast for Poisson response model with AP structure.
apc.forecast.ac

Forecast for responses model with AC or CL structure.
apc.data.sums

Computes age, period and cohort sums of a matrix
apc.forecast

Forecasts from age-period-cohort models.
apc.data.list.subset

Cut age, period and cohort groups from data set.
apc.get.design

Create design matrices
apc.data.list

Arrange data as an apc.data.list
apc.indiv.model.table

Generate table to select APC submodel
apc.indiv.est.model

Estimate a single APC model
apc.plot.data.sums

This plot shows sums of data matrix by age, period or cohort.
apc.plot.data.level

Level plot of data matrix.
apc.plot.data.within

This plot shows time series of matrix within age, period or cohort.
apc.plot.data.sparsity

This plot shows heat map of the sparsity of a data matrix.
apc.plot.data.all

Make all descriptive plots.
data.Japanese.breast.cancer

Japanese breast cancer data
apc.indiv.compare.direct

Implements direct tests between APC models
data.RH.mortality

2-sample mortality data.
data.Belgian.lung.cancer

Belgian lung cancer data
apc-package

Age-period-cohort analysis
apc.polygon

Add connected line and standard deviation polygons to a plot
apc.plot.fit.pt

Plot probability transform of responses given fitted values
apc.hypothesis

Imposing hypotheses on age-period-cohort models.
apc.identify

Identification of time effects
data.Italian.bladder.cancer

Italian bladder cancer data
data.asbestos

Asbestos data
data.loss.BZ

Motor data
data.US.prostate.cancer

Japanese breast cancer data
data.aids

UK aids data
apc.plot.fit.residuals

Level plots of residuals / fitted values / linear predictors
data.loss.VNJ

Motor data
triangle

Triangular matrices used in reserving
data.loss.TA

Motor data
new.apc.identify

Identification of time effects
new.apc.plot.fit

Plots of apc estimates
apc-internal

Internal apc Functions
apc.plot.fit.all

Make all fit plots.
apc.plot.fit

Plots of apc estimates
data.loss.XL

US Casualty data, XL Group