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StMoMo  

Stochastic Mortality Modelling
View on CRAN: Click here


Download and install StMoMo package within the R console
Install from CRAN:
install.packages("StMoMo")

Install from Github:
library("remotes")
install_github("cran/StMoMo")

Install by package version:
library("remotes")
install_version("StMoMo", "0.4.1")



Attach the package and use:
library("StMoMo")
Maintained by
Andres Villegas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-10
Latest Update: 2018-04-13
Description:
Implementation of the family of generalised age-period-cohort stochastic mortality models. This family of models encompasses many models proposed in the actuarial and demographic literature including the Lee-Carter (1992) <doi:10.2307/2290201> and the Cairns-Blake-Dowd (2006) <doi:10.1111/j.1539-6975.2006.00195.x> models. It includes functions for fitting mortality models, analysing their goodness-of-fit and performing mortality projections and simulations.
How to cite:
Andres Villegas (2015). StMoMo: Stochastic Mortality Modelling. R package version 0.4.1, https://cran.r-project.org/web/packages/StMoMo. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:26), 0.2.0 (2015-06-10 14:45), 0.3.0 (2015-10-13 09:38), 0.3.1 (2016-02-09 20:53), 0.4.0 (2017-04-01 08:30)
Other packages that cited StMoMo R package
View StMoMo citation profile
Other R packages that StMoMo depends, imports, suggests or enhances
Complete documentation for StMoMo
Functions, R codes and Examples using the StMoMo R package
Some associated functions: EWMaleData . StMoMo . StMoMoData . apc . arima.string . binomRes2q . bootstrap.fitStMoMo . bootstrap . cbd . central2initial . coef.fitStMoMo . computeDevianceBinomial . computeDeviancePoisson . computeLogLikBinomial . computeLogLikPoisson . extractCoefficientsFromGnm . extractCohort . fit.StMoMo . fit . fit.rh . fitted.fitStMoMo . forecast.fitStMoMo . forecast.iarima . forecast.mrwd . genBinomialResBootSamples . genBinomialSemiparametricBootSamples . genPoissonResBootSamples . genPoissonSemiparametricBootSamples . genWeightMat . getMinimalFitStMoMo . iarima . initial2central . invlogit . lc . logLik.fitStMoMo . logit . m6 . m7 . m8 . mrwd . plot.bootStMoMo . plot.fitStMoMo . plot.forStMoMo . plot.resStMoMo . plotParameterFan . poissonRes2death . predict.fitStMoMo . predictLink . processStartValues . residuals.fitStMoMo . rh . scatterplotAPC . simulate.bootStMoMo . simulate.fitStMoMo . simulate.iarima . simulate.mrwd . 
Some associated R codes: RHModel.R . StMoMo.R . bootstrapfitStMoMo.R . coeffitStMoMo.R . docStMoMo.R . exportUtils.R . fitStMoMo.R . fittedfitStMoMo.R . forecastfitStMoMo.R . iarima.R . internalUtils.R . logLikfitStMoMo.R . mrwd.R . plotbootStMoMo.R . plotfitStMoMo.R . plotforStMoMo.R . predictfitStMoMo.R . residualsfitStMoMo.R . simulatebootStMoMo.R . simulatefitStMoMo.R . standardModels.R .  Full StMoMo package functions and examples
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