apc-package             Age-period-cohort analysis
apc.data.list           Arrange data as an apc.data.list
apc.data.list.subset    Cut age, period and cohort groups from data
                        set.
apc.data.sums           Computes age, period and cohort sums of a
                        matrix
apc.fit.model           Fits an age period cohort model
apc.fit.model.2s        Fits an age period cohort model for 2 samples
apc.forecast            Forecasts from age-period-cohort models.
apc.forecast.ac         Forecast for responses model with AC or CL
                        structure.
apc.forecast.ap         Forecast for Poisson response model with AP
                        structure.
apc.forecast.apc        Forecast models with APC structure.
apc.get.design          Create design matrices
apc.get.index           Get indices for mapping data into trapezoid
                        formation
apc.hypothesis          Imposing hypotheses on age-period-cohort
                        models.
apc.identify            Identification of time effects
apc.identify.mixed      Identification of time effects for mixed
                        frequency data
apc.indiv.compare.direct
                        Implements direct tests between APC models
apc.indiv.est.model     Estimate a single APC model
apc.indiv.model.table   Generate table to select APC submodel
apc.internal.function.detrend
                        Internal apc Functions
apc.plot.data.all       Make all descriptive plots.
apc.plot.data.level     Level plot of data matrix.
apc.plot.data.sparsity
                        This plot shows heat map of the sparsity of a
                        data matrix.
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            Plots of apc estimates
apc.plot.fit.2s         Plots of apc estimates for 2 sample model
apc.plot.fit.all        Make all fit plots.
apc.plot.fit.pt         Plot probability transform of responses given
                        fitted values
apc.plot.fit.residuals
                        Level plots of residuals / fitted values /
                        linear predictors
apc.polygon             Add connected line and standard deviation
                        polygons to a plot
apc.test.normal.residuals
                        Test normality of residuals
data.Belgian.lung.cancer
                        Belgian lung cancer data
data.Italian.bladder.cancer
                        Italian bladder cancer data
data.Japanese.breast.cancer
                        Japanese breast cancer data
data.RH.mortality       2-sample mortality data.
data.Swiss.suicides     Swiss suicide data
data.US.prostate.cancer
                        US prostate cancer data
data.aids               UK aids data
data.asbestos           Asbestos data
data.loss.BZ            Motor data
data.loss.TA            Motor data
data.loss.VNJ           Motor data
data.loss.XL            US Casualty data, XL Group
is.triangle             Triangular matrices used in reserving
