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.get.design | Create design matrices |
apc.get.design.collinear | Create design matrices |
apc.get.index | Get indices for mapping data into trapezoid formation |
apc.identify | Identification of time effects |
apc.plot.data.all | Make all descriptive plots. |
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.pt | Plot probability transform of responses given fitted values |
data.asbestos | 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 |
vector.2.triangle | Organise vector as matrix with triangle structure |