Package: NNMoMo 0.1.0

Daniel Herzog

NNMoMo: Neural Network Extension to 'StMoMo' for Lee-Carter Modeling

Provides extensions to the 'StMoMo' package by incorporating neural network functionality for Lee-Carter and Poisson Lee-Carter mortality models. Includes tools for constructing mortality datasets from 'demogdata' objects and fitting neural network-based mortality models. Further analysis, such as plotting and forecasting, can be done with 'StMoMo' functions.

Authors:Daniel Herzog [aut, cre]

NNMoMo_0.1.0.tar.gz
NNMoMo_0.1.0.tar.gz(r-4.7-any)NNMoMo_0.1.0.tar.gz(r-4.6-any)
NNMoMo_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
NNMoMo/json (API)

# Install 'NNMoMo' in R:

install.packages('NNMoMo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

NNMoMo_data_AUS - Australia Dataset
NNMoMo_data_CAN - Canada Dataset
NNMoMo_data_GBR - United Kingdom Dataset
NNMoMo_data_JPN - Japan Dataset
NNMoMo_data_USA - USA Dataset

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 187 downloads 3 exports 184 dependencies

Last updated from:7621d38aa7. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	213
source / vignettes	OK	262
linux-release-x86_64	OK	201
wasm-release	OK	162

Exports:fit lcNN NNMoMoData

Dependencies:abind ash askpass backports base64enc bit bit64 bitops boot bslib cachem callr checkmate class cli clipr cluster cobs colorspace coro cpp11 crayon curl cvar data.table demography desc deSolve digest dotCall64 dplyr e1071 ecp evaluate evgam fanplot farver fastICA fastmap fBasics fda fdapace fds fGarch fields FNN fontawesome forecast foreign Formula fracdiff fs ftsa gbutils generics geometry ggplot2 glue gnm GPArotation gridExtra gss gtable hdrcde highr HMDHFDplus Hmisc hms htmlTable htmltools htmlwidgets httr isoband janitor jquerylib jsonlite kernlab KernSmooth knitr ks labeling LaplacesDemon lattice lifecycle linprog Lmoments lmtest locfit lpSolve lubridate luz magic magrittr maps MASS Matrix MatrixModels mclust memoise mgcv mime mnormt multicool mvtnorm nlme nnet numDeriv openssl otel pcaPP pdfCluster pillar pkgconfig plyr pracma prettyunits processx progress proxy ps psych purrr quantreg qvcalc R6 rainbow rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppProgress RCurl Rdpack readr relimp reshape2 rlang rmarkdown ROOPSD rootSolve rpart rstudioapi rvest S7 safetensors sandwich sass scales sde selectr snakecase spam SparseM spatial stabledist StMoMo stringi stringr strucchange survival sys tibble tidyr tidyselect timechange timeDate timeSeries tinytex torch tzdb urca utf8 vars vctrs viridisLite vroom withr xfun xml2 yaml zeallot zoo

NNMoMo: An R Package for Mortality Modeling with Neural Networks

Rendered fromNNMoMoVignette.Rmdusingknitr::rmarkdown

Last update: 2026-02-20
Started: 2026-02-20

Citation

Readme and manuals

Help Manual

Help page	Topics
Fit a Neural Network Lee-Carter Model	fit.NNMoMo
Create a Lee-Carter Model with a Neural Network	lcNN
Log-Likelihood Method for Neural Network Mortality Models	logLik.fitNNMoMo
Australia Dataset	NNMoMo_data_AUS
Canada Dataset	NNMoMo_data_CAN
United Kingdom Dataset	NNMoMo_data_GBR
Japan Dataset	NNMoMo_data_JPN
USA Dataset	NNMoMo_data_USA
Create NNMoMoData Object from Demogdata Object or HMD Datasets	NNMoMoData
Print Method for the Output of the Fitting Method	print.fitStMoMo_list
Print Method for NNMoMo Objects	print.NNMoMo
Print Method for NNMoMoData Objects	print.NNMoMoData
Compute Residuals for NNMoMo Fitted Models	residuals.fitNNMoMo
Summary Method for the Output of the Fitting Method	summary.fitStMoMo_list
Summary Method for NNMoMo Objects	summary.NNMoMo
Summary Method for NNMoMoData Objects	summary.NNMoMoData

Package: NNMoMo 0.1.0

NNMoMo: Neural Network Extension to 'StMoMo' for Lee-Carter Modeling

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)