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apc (version 2.0.0)

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

445

Version

2.0.0

License

GPL-3

Maintainer

Bent Nielsen

Last Published

October 1st, 2020

Functions in apc (2.0.0)

apc.get.design

Create design matrices
apc.forecast.ap

Forecast for Poisson response model with AP structure.
apc.data.list.subset

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

Forecasts from age-period-cohort models.
apc.get.index

Get indices for mapping data into trapezoid formation
apc.data.sums

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

Arrange data as an apc.data.list
apc.forecast.apc

Forecast models with APC structure.
apc.forecast.ac

Forecast for responses model with AC or CL structure.
apc.fit.model

Fits an age period cohort model
apc.plot.data.level

Level plot of data matrix.
apc.indiv.est.model

Estimate a single APC model
apc.indiv.compare.direct

Implements direct tests between APC models
apc.plot.data.all

Make all descriptive plots.
apc.indiv.model.table

Generate table to select APC submodel
apc.plot.data.sparsity

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

Identification of time effects
apc.hypothesis

Imposing hypotheses on age-period-cohort models.
apc.plot.data.sums

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

This plot shows time series of matrix within age, period or cohort.
apc.plot.fit.pt

Plot probability transform of responses given fitted values
apc.polygon

Add connected line and standard deviation polygons to a plot
data.Japanese.breast.cancer

Japanese breast cancer data
apc.plot.fit.residuals

Level plots of residuals / fitted values / linear predictors
data.RH.mortality

2-sample mortality data.
apc-package

Age-period-cohort analysis
data.Italian.bladder.cancer

Italian bladder cancer data
data.Belgian.lung.cancer

Belgian lung cancer data
apc.plot.fit

Plots of apc estimates
apc.plot.fit.all

Make all fit plots.
data.loss.TA

Motor data
data.US.prostate.cancer

Japanese breast cancer data
apc-internal

Internal apc Functions
new.apc.identify

Identification of time effects
data.asbestos

Asbestos data
data.loss.XL

US Casualty data, XL Group
data.loss.VNJ

Motor data
triangle

Triangular matrices used in reserving
new.apc.plot.fit

Plots of apc estimates
data.loss.BZ

Motor data
data.aids

UK aids data