Package: vital 2.0.3.9000

vital: Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data

Analysing vital statistics based on tools consistent with the tidyverse. Tools are provided for data visualization, life table calculations, computing net migration numbers, Lee-Carter modelling; functional data modelling and forecasting.

Authors:Rob Hyndman [aut, cre, cph], Sixian Tang [aut], Miles McBain [ctb], Mitchell O'Hara-Wild [ctb]

vital_2.0.3.9000.tar.gz
vital_2.0.3.9000.zip(r-4.7)vital_2.0.3.9000.zip(r-4.6)vital_2.0.3.9000.zip(r-4.5)
vital_2.0.3.9000.tgz(r-4.6-any)vital_2.0.3.9000.tgz(r-4.5-any)
vital_2.0.3.9000.tar.gz(r-4.7-any)vital_2.0.3.9000.tar.gz(r-4.6-any)
vital_2.0.3.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
vital/json (API)
NEWS

# Install 'vital' in R:

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

Bug tracker:https://github.com/robjhyndman/vital/issues

Pkgdown/docs site:https://pkg.robjhyndman.com

Datasets:

norway_births - Norwegian mortality and births data
norway_fertility - Norwegian mortality and births data
norway_mortality - Norwegian mortality and births data

On CRAN:

7.78 score 32 stars 26 scripts 165 downloads 50 exports 102 dependencies

Last updated from:ae3cb6ad42. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	335
source / vignettes	OK	240
linux-release-x86_64	OK	295
macos-release-arm64	OK	155
macos-oldrel-arm64	OK	223
windows-devel	OK	295
windows-release	OK	258
windows-oldrel	OK	300
wasm-release	OK	165

Exports:age_components APC as_vital augment autoplot CBD cohort_components collapse_ages estimate FDM FMEAN FNAIVE forecast GAPC generate generate_population glance interpolate LC LC2 life_expectancy life_table M7 make_pr make_sd model net_migration PLAT read_hfd read_hfd_files read_hmd read_hmd_files read_ktdb read_ktdb_files read_stmf read_stmf_files report RH smooth_fertility smooth_loess smooth_mortality smooth_mortality_law smooth_spline tidy time_components total_fertility_rate undo_pr undo_sd vital vital_vars

Dependencies:anytime askpass BH bit bit64 bitops cli clipr cobs colorspace cpp11 crayon curl digest distributional dotCall64 dplyr fable fabletools fanplot farver fields forecast fracdiff generics ggdist ggplot2 glue gnm gtable HMDHFDplus hms httr isoband janitor jsonlite labeling lattice lifecycle lmtest lubridate magrittr maps MASS Matrix MatrixModels mgcv mime MortalityLaws nlme nnet numDeriv openssl patchwork pbapply pillar pkgconfig plyr prettyunits progress progressr purrr quadprog quantreg qvcalc R6 RColorBrewer Rcpp RcppArmadillo RCurl readr relimp reshape2 rlang rootSolve rvest S7 scales selectr snakecase spam SparseM StMoMo stringi stringr survival sys tibble tidyr tidyselect timechange timeDate tsibble tzdb urca utf8 vctrs viridisLite vroom withr xml2 zoo

Introduction to the vital package

Rob J Hyndman

Rendered fromintro.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2026-01-16
Started: 2024-06-25

Stochastic population forecasting

Rob J Hyndman

Rendered frompopulation_forecasting.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2025-08-20
Started: 2025-07-21

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Extract age components from a model	age_components
Coerce to a vital object	as_vital as_vital.data.frame as_vital.demogdata as_vital.tbl_ts
Plot forecasts from a vital model	autoplot.fbl_vtl_ts
Plot output from a vital model	autoplot.mdl_vtl_df
Rainbow plot of demographic data against age	autoplot.vital
Extract cohort components from a model	cohort_components
Collapse upper ages into a single age group. Counts are summed while rates are recomputed where possible.	collapse_ages
Functional data model	FDM report.FDM
Functional mean model	FMEAN report.FMEAN
Functional naive model	FNAIVE report.FNAIVE
Produce forecasts from a vital model	forecast.FDM forecast.FMEAN forecast.FNAIVE forecast.GAPC forecast.LC forecast.mdl_vtl_df
Generalized APC stochastic mortality model	APC CBD GAPC LC2 M7 PLAT report.GAPC RH
Future population simulation	generate_population
Generate responses from a mable	generate.mdl_vtl_df
Interpolate missing values using a vital model	interpolate.mdl_vtl_df
Lee-Carter model	LC report.LC
Compute life expectancy from age-specific mortality rates	life_expectancy
Compute period life tables from age-specific mortality rates	life_table
Do a product/ratio transformation	make_pr
Do a sum/difference transformation	make_sd
Estimate models for vital data	model.vital
Calculate net migration from a vital object	net_migration
Norwegian mortality and births data	norway_births norway_fertility norway_mortality
Read data directly from HFD and construct a 'vital' object for use in other functions	read_hfd
Read data from files downloaded from HFD and construct a 'vital' object for use in other functions	read_hfd_files
Read data directly from HMD and construct a 'vital' object for use in other functions	read_hmd
Read data from files downloaded from HMD and construct a 'vital' object for use in other functions	read_hmd_files
Read old-age mortality from Kannisto-Thatcher (K-T) database and construct a 'vital' object for use in other functions	read_ktdb
Read old-age mortality data from files downloaded from K-T database	read_ktdb_files
Read Short-Term Mortality Fluctuations data from the Human Mortality Database	read_stmf
Read STMF data from files downloaded from HMD	read_stmf_files
Function to smooth mortality rates using MortalityLaw package	smooth_mortality_law
Functions to smooth demographic data	smooth_fertility smooth_loess smooth_mortality smooth_spline
Extract time components from a model	time_components
Compute total fertility rate from age-specific fertility rates	total_fertility_rate
Undo a product/ratio transformation	undo_pr
Undo a mean/difference transformation	undo_sd
Create a vital object	vital
Return vital variables	vital_vars