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 |