Title: Quantification of Lifecourse Fluidity
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
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.

Title: Manage the Life Cycle of your Package Functions
person(given = "Lionel", family = "Henry", role = c("aut", "cre"), email = "lionel@rstudio.com"),
Description: Manage the life cycle of your exported functions with
shared conventions, documentation badges, and non-invasive
deprecation warnings. The 'lifecycle' package defines four
development stages (experimental, maturing, stable, and
questioning) and three deprecation stages (soft-deprecated,
deprecated, and defunct). It makes it easy to insert badges
corresponding to these stages in your documentation. Usage of
deprecated functions are signalled with increasing levels of
Suggests: covr, crayon, knitr, rmarkdown, testthat (>= 2.1.0)

Description: Manage the life cycle of your exported functions
with shared conventions, documentation badges, and user-friendly
Suggests: covr, crayon, knitr, rmarkdown, testthat (>= 3.0.1), tibble

Suggests: covr, crayon, lintr, tidyverse, knitr, rmarkdown, testthat

Description: Manage the life cycle of your exported functions with shared
conventions, documentation badges, and user-friendly deprecation
Suggests: covr, crayon, knitr, lintr, rmarkdown, testthat (>= 3.0.1),

Authors@R: c(person("Rohisha", "Adke", email = "rohisha@gmail.com", role = "aut"), person("Lisa Ann", "Yu", email = "lisaann.yu@gmail.com", role = c("aut", "cre")))
Description: Provides a framework for combining self-data (exercise, sleep, etc.) from multiple sources (fitbit, Apple Health), creating visualizations, and experimenting on onself.
Collate: 'EX.R' 'global_var.R' 'Person.R' 'experiments.R' 'lifelogr.R'
Imports: ggplot2, shiny, dplyr, lubridate, modelr, stringr, tidyr,
grDevices, lazyeval, stats, R6, fitbitScraper, tibble, plyr
Packaged: 2017-05-12 19:52:49 UTC; lisaannyu
Maintainer: Lisa Ann Yu <lisaann.yu@gmail.com>