Package: vital 1.1.0.9000

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_1.1.0.9000.tar.gz
vital_1.1.0.9000.zip(r-4.5)vital_1.1.0.9000.zip(r-4.4)vital_1.1.0.9000.zip(r-4.3)
vital_1.1.0.9000.tgz(r-4.4-any)vital_1.1.0.9000.tgz(r-4.3-any)
vital_1.1.0.9000.tar.gz(r-4.5-noble)vital_1.1.0.9000.tar.gz(r-4.4-noble)
vital_1.1.0.9000.tgz(r-4.4-emscripten)vital_1.1.0.9000.tgz(r-4.3-emscripten)
vital.pdf |vital.html✨
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 site:https://pkg.robjhyndman.com

Datasets:

aus_fertility - Australian fertility data
aus_mortality - Australian mortality data
norway_births - Norwegian mortality and births data
norway_fertility - Norwegian mortality and births data
norway_mortality - Norwegian mortality and births data

On CRAN:

6.11 score 28 stars 17 scripts 116 downloads 41 exports 85 dependencies

Last updated 1 months agofrom:c9395a53d2. Checks:7 ERROR. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	FAIL	Jan 14 2025
R-4.5-win	ERROR	Jan 14 2025
R-4.5-linux	ERROR	Jan 14 2025
R-4.4-win	ERROR	Jan 14 2025
R-4.4-mac	ERROR	Jan 14 2025
R-4.3-win	ERROR	Jan 14 2025
R-4.3-mac	ERROR	Jan 14 2025

Exports:age_components as_vital augment autoplot collapse_ages estimate FDM FMEAN FNAIVE forecast generate glance interpolate LC life_expectancy life_table make_pr make_sd model net_migration read_hfd read_hfd_files read_hmd read_hmd_files read_ktdb read_ktdb_file read_stmf read_stmf_file report 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 dplyr ellipsis fable fabletools fansi farver generics ggdist ggplot2 glue gtable HMDHFDplus hms httr isoband janitor jsonlite labeling lattice lifecycle lubridate magrittr MASS Matrix MatrixModels mgcv mime minpack.lm MortalityLaws munsell nlme numDeriv openssl patchwork pbapply pillar pkgconfig prettyunits progress progressr purrr quadprog quantreg R6 RColorBrewer Rcpp RCurl readr rlang rvest scales selectr snakecase SparseM stringi stringr survival sys tibble tidyr tidyselect timechange tsibble tzdb utf8 vctrs viridisLite vroom withr xml2

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

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
Australian fertility data	aus_fertility
Australian mortality data	aus_mortality
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
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.LC forecast.mdl_vtl_df
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_file
Read Short-Term Mortality Fluctuations data from the Human Mortality Database	read_stmf
Read STMF data from files downloaded from HMD	read_stmf_file
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