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MortalityLaws
View on CRAN: Click
here
Download and install MortalityLaws package within the R console
Install from CRAN:
install.packages("MortalityLaws")
Install from Github:
library("remotes")
install_github("cran/MortalityLaws") Install by package version:
library("remotes")
install_version("MortalityLaws", "2.1.3") Attach the package and use:
library("MortalityLaws")
Maintained by
Marius D. Pascariu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-24
Latest Update: 2025-04-16
Description:
Fit the most popular human mortality 'laws', and construct
full and abridge life tables given various input indices. A mortality
law is a parametric function that describes the dying-out process of
individuals in a population during a significant portion of their
life spans. For a comprehensive review of the most important mortality
laws see Tabeau (2001) .
Practical functions for downloading data from various human mortality
databases are provided as well.
How to cite:
Marius D. Pascariu (2017). MortalityLaws: Parametric Mortality Models, Life Tables and HMD. R package version 2.1.3, https://cran.r-project.org/web/packages/MortalityLaws. Accessed 16 Jul. 2026.
Previous versions and publish date:
1.0.0 (2017-10-24 12:12), 1.0.5 (2017-10-26 11:07), 1.2.0 (2017-12-08 09:11), 1.3.0 (2018-01-11 06:24), 1.4.0 (2018-06-20 09:29), 1.5.0 (2018-07-29 16:20), 1.6.0 (2018-08-31 14:00), 1.7.0 (2018-11-06 11:20), 1.8.0 (2019-06-18 15:10), 1.8.1 (2019-11-07 12:00), 1.8.2 (2019-11-26 11:20), 1.8.3 (2020-01-16 14:20), 1.8.4 (2020-03-16 19:40), 1.8.5 (2020-09-16 15:00), 1.9.3 (2022-02-05 01:30), 1.9.4 (2022-07-01 16:20), 1.9.9 (2023-02-22 10:00), 2.0.3 (2023-08-08 17:20), 2.1.0 (2024-01-15 20:50), 2.1.2 (2025-04-02 12:40), 2.1.3 (2025-04-16 09:40), (2026-07-09 08:11)
Other packages that cited MortalityLaws R package
View MortalityLaws citation profile
Other R packages that MortalityLaws depends,
imports, suggests or enhances
Complete documentation for MortalityLaws
Functions, R codes and Examples using
the MortalityLaws R package
Some associated functions: AHMD_sample . AIC.MortalityLaw . AUSregions . CANregions . CHMD_sample . HMD_sample . HMDcountries . HMDindices . HP . HP2 . HP3 . HP4 . JMD_sample . JPNregions . LawTable . LifeTable.check . LifeTable.core . LifeTable . MortalityLaw . MortalityLaws . ReadAHMD . ReadCHMD . ReadHMD.core . ReadHMD . ReadJMD . addDetails . ageMsg . ahmd . availableHMD . availableLF . availableLaws . beard . beard_makeham . bring_parameters . carriere1 . carriere2 . check.MortalityLaw . check_input_ReadAHMD . check_input_ReadCHMD . check_input_ReadHMD . check_input_ReadJMD . choose_optim . coale.demeny.ax . compute.ax . convertFx . data_format . deviance.MortalityLaw . df.residual.MortalityLaw . dx_lx . find.my.case . ggompertz . gompertz . gompertz0 . head_tail . invgompertz . invweibull . kannisto . kannisto_makeham . kostaki . logLik.MortalityLaw . makeham . makeham0 . martinelle . mx_qx . objective_fun . opperman . perks . plot.MortalityLaw . predict.MortalityLaw . print.LifeTable . print.MortalityLaw . print.ReadAHMD . print.ReadCHMD . print.ReadHMD . print.ReadJMD . print.availableHMD . print.availableLF . print.availableLaws . print.summary.MortalityLaw . quadratic . rogersplanck . saveMsg . saveOutput . scale_x . siler . strehler_mildvan . substrRight . summary.MortalityLaw . thiele . uxAbove100 . vandermaen . vandermaen2 . weibull . wittstein .
Some associated R codes: LawTable.R . LifeTable.R . MortalityLaw_S3.R . MortalityLaw_check.R . MortalityLaw_main.R . MortalityLaw_models.R . MortalityLaws-data.R . MortalityLaws-package.R . availableHMD.R . availableLF.R . availableLaws.R . convertFx.R . graphics.R . readAHMD.R . readCHMD.R . readHMD.R . readJMD.R . utils.R . zzz.R . Full MortalityLaws package functions and examples
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