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lifecourse  

Quantification of Lifecourse Fluidity
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lifecourse", "2.0")



Attach the package and use:
library("lifecourse")
Maintained by
Glenna Nightingale
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-17
Latest Update: 2016-09-13
Description:
Provides in built datasets and three functions. These functions are mobility_index, nonStanTest and linkedLives. The mobility_index function facilitates the calculation of lifecourse fluidity, whilst the nonStanTest and the linkedLives functions allow the user to determine the probability that the observed sequence data was due to chance. The linkedLives function acknowledges the fact that some individuals may have identical sequences. The datasets available provide sequence data on marital status(maritalData) and mobility (mydata) for a selected group of individuals from the British Household Panel Study (BHPS). In addition, personal and house ID's for 100 individuals are provided in a third dataset (myHouseID) from the BHPS.
How to cite:
Glenna Nightingale (2016). lifecourse: Quantification of Lifecourse Fluidity. R package version 2.0, https://cran.r-project.org/web/packages/lifecourse. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:53), 1.0 (2016-04-17 20:49)
Other packages that cited lifecourse R package
View lifecourse citation profile
Other R packages that lifecourse depends, imports, suggests or enhances
Complete documentation for lifecourse
Functions, R codes and Examples using the lifecourse R package
Some associated functions: lifecourse-package . linkedLives . maritalData . mobility_index . myHouseID . mydata . nonStanTest . 
Some associated R codes: linkedLives.R . mobility_index.R . nonStanTest.R .  Full lifecourse package functions and examples
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