modelS3: Common S3 methods for stochastic mortality models

In demofit: Parametric Mortality Curve Fitting and Mortality Forecasting Tools

Common S3 methods for stochastic mortality models

Description

Common S3 methods for objects returned by LCS(), RHS(), APCS(), CBDS(), CBDCS(), CBDQCS(), STARS(), ENS(), ENI(), CFMS(), CFM2S(), CAES(), PLCS(), PRHS(), PAPCS(), PCBDS(), PCBDCS(), PCBDQCS(), PCFMS(), PCFM2S(), PCAES(), and LCLS().

coef(object) gives estimated parameter values.

forecast::forecast(object) gives mortality forecasts (which = 1 for smoothed (default); which = 2 for raw) (or ensemble interval forecasts for ENI()).

plot(object) plots estimated parameter values, standardised residuals heatmap, data, and mortality forecasts smoothed by selected mortality curve (or ensemble interval forecasts for ENI()).

residuals(object) gives standardised residuals on ln(m_{x,t}) or D_{x,t}.

simulate(object,nsim,seed) gives simulated future mortality rates (raw).

demofit documentation built on June 12, 2026, 1:07 a.m.