apc-package | Age-period-cohort analysis |
apc | 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.table | Fits an age period cohort model |
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.design.collinear | 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.indiv.compare.direct | Implements direct tests between APC models |
apc.indiv.design.collinear | Estimate a single APC model |
apc.indiv.design.model | Estimate a single APC model |
apc.indiv.est.model | Estimate a single APC model |
apc.indiv.estimate.TS | Estimate a single APC model |
apc.indiv.fit.model | Estimate a single APC model |
apc.indiv.logit.TS | Estimate a single APC model |
apc.indiv.LRtable | Generate table to select APC submodel |
apc.indiv.LRtable.TS | Generate table to select APC submodel |
apc.indiv.LRtest.fullapc | Implements direct tests between APC models |
apc.indiv.LRtest.TS | Implements direct tests between APC models |
apc.indiv.model.table | Generate table to select APC submodel |
apc.indiv.waldtable | Generate table to select APC submodel |
apc.indiv.waldtable.TS | Generate table to select APC submodel |
apc.indiv.waldtest.fullapc | Implements direct tests between APC models |
apc.indiv.waldtest.TS | Implements direct tests between APC models |
apc.internal.function.date.2.character | 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.data.within.all.six | This plot shows time series of matrix within age, period or cohort. |
apc.plot.fit | Plots of apc estimates |
apc.plot.fit.all | Make all fit plots. |
apc.plot.fit.fitted.values | Level plots of residuals / fitted values / linear predictors |
apc.plot.fit.linear.predictors | Level plots of residuals / fitted values / linear predictors |
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 |
data.aids | UK aids data |
data.asbestos | Asbestos data |
data.asbestos.2013 | Asbestos data |
data.asbestos.2013.men | Asbestos data |
data.asbestos.2013.women | Asbestos data |
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.loss.BZ | Motor data |
data.loss.TA | Motor data |
data.loss.VNJ | Motor data |
data.loss.XL | US Casualty data, XL Group |
data.RH.mortality | 2-sample mortality data. |
data.RH.mortality.dk | 2-sample mortality data. |
data.RH.mortality.no | 2-sample mortality data. |
data.US.prostate.cancer | Japanese breast cancer data |
foo2 | Internal apc Functions |
foo3 | Internal apc Functions |
foo4 | Internal apc Functions |
is.triangle | Triangular matrices used in reserving |
new.apc.identify | Identification of time effects |
new.apc.plot.fit | Plots of apc estimates |
triangle.cumulative | Triangular matrices used in reserving |
triangle.incremental | Triangular matrices used in reserving |
vector.2.triangle | Triangular matrices used in reserving |