Packaged: 2021-04-01 13:43:14 UTC; jamesscott

person(given = "Kevin", family = "Wang", email = "kevin.wang09@gmail.com", role = c("aut", "cre")),
person(given = "Chen", family = "Lin", email = "16300180053@fudan.edu.cn", role = c("aut")),
person(given = "Samuel", family = "Mueller", email = "samuel.mueller@sydney.edu.au", role = c("aut"))
Description: Visualize the relationship between linear regression variables and causes of multi-collinearity.
Imports: assertthat, igraph, ggplot2, purrr, magrittr, reshape2, shiny,
Suggests: testthat (>= 2.1.0), covr, knitr, mplot, rmarkdown
Packaged: 2020-06-03 09:15:19 UTC; kevinwang

person(given = "Kevin", family = "Wang",
email = "kevin.wang09@gmail.com", role = c("aut", "cre")),
person(given = "Samuel", family = "Mueller",
email = "samuel.mueller@sydney.edu.au", role = c("aut"))
Packaged: 2020-10-03 03:44:50 UTC; kevinwang

Packaged: 2021-07-30 02:56:36 UTC; kevinwang

Authors@R: c(person("Daniel", "Schneider" , role = c("aut", "cre"), email = "schneider@demogr.mpg.de"),
person("Mikko" , "Myrskyla"  , role = "ctb"),
person("Alyson", "van Raalte", role = "ctb"))
Description: In the context of multistate models, which are popular in sociology,
demography, and epidemiology, Markov chain with rewards calculations can
help to refine transition timings and so obtain more accurate estimates. The
package code accommodates up to nine transient states and irregular age (time)
intervals. Traditional demographic life tables result as a special case.
Formulas and methods involved are explained in detail in the accompanying
article: Schneider / Myrskyla / van Raalte (2021): Flexible Transition Timing
in Discrete-Time Multistate Life Tables Using Markov Chains with Rewards,

Title: Selecting Bandwidth for Kernel Density Estimator with Minimum
Description: Selects bandwidth for the kernel density estimator with minimum distance method as proposed by Devroye and Lugosi (1996). The minimum distance method directly selects the optimal kernel density estimator from countably infinite kernel density estimators and indirectly selects the optimal bandwidth. This package selects the optimal bandwidth from finite kernel density estimators.