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demofit (version 0.1.4)

Parametric Mortality Curve Fitting and Mortality Forecasting Tools

Description

Provides tools for fitting parametric mortality curves. Implements multiple optimisation strategies to enhance robustness and stability of parameter estimation. Offers tools for forecasting mortality rates guided by mortality curves. For modelling details see: Tabeau (2001) , Renshaw and Haberman (2006) , Cairns et al. (2009) , Li and Lee (2005) .

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Version

Install

install.packages('demofit')

Monthly Downloads

492

Version

0.1.4

License

GPL-3

Maintainer

Jackie Li

Last Published

June 11th, 2026

Functions in demofit (0.1.4)

CAES

Common age effect model
APCS

Age-period-cohort model
CBDCS

CBD with cohort model
ENS

Mortality ensemble
CBDS

CBD model
CBDQCS

CBD with curvature and cohort model
ENI

Mortality ensemble interval
CC

Mortality curve calculation
CFM2S

Common factor model with global age pattern
CFMS

Common factor model
PAPCS

Poisson age-period-cohort model
PCBDS

Poisson CBD model
LCS

Lee-Carter model
FCS

Mortality model fitting
PCBDQCS

Poisson CBD with curvature and cohort model
PCAES

Poisson common age effect model
LCLS

Lee-Carter model for limited data
PCBDCS

Poisson CBD with cohort model
PRHS

Poisson Renshaw-Haberman model
RHS

Renshaw-Haberman model
MC

Mortality curve fitting
STARS

Spatial-temporal autoregressive model
curveS3

Common S3 methods for mortality curves
PLCS

Poisson Lee-Carter model
PCFM2S

Poisson common factor model with global age pattern
PCFMS

Poisson common factor model
modelS3

Common S3 methods for stochastic mortality models