covr, graphics, knitr, png, rmarkdown, testthat

Functions to Extract, Clean and Analyse Online Chess Game Data
c(person("Jason Zivkovic", email = "jase.ziv83@gmail.com",
role = c("aut", "cre")),
person("Jonathan", "Carroll",
email = "rpkg@jcarroll.com.au",
role = "ctb",
comment = c(ORCID = "0000-0002-1404-5264"))
)
A set of functions to enable users to extract chess game data from
popular chess sites, including 'Lichess'<https://lichess.org/> and
'Chess.com' <https://www.chess.com/> and then perform analysis on that game data.
rlang, jsonlite, dplyr, purrr, tidyr, stringr, lubridate,
magrittr, xml2, rvest, curl
knitr, rmarkdown, ggplot2, testthat (>= 3.0.0), covr, chess
Jason Zivkovic [aut, cre],
Jonathan Carroll [ctb] (<https://orcid.org/0000-0002-1404-5264>)

c(person("Jason Zivkovic", email = "jase.ziv83@gmail.com",
role = c("aut", "cre")),
person("Jonathan", "Carroll",
email = "rpkg@jcarroll.com.au",
role = "ctb",
comment = c(ORCID = "0000-0002-1404-5264")),
person("Dan", "Wakeling",
email = "danwakeling7@gmail.com",
role = "ctb")
)
rlang, jsonlite, dplyr, purrr, tidyr, stringr, lubridate,
magrittr, xml2, rvest, curl, httr
Jason Zivkovic [aut, cre],
Jonathan Carroll [ctb] (<https://orcid.org/0000-0002-1404-5264>),
Dan Wakeling [ctb]

Change-in-Estimate Approach to Assess Confounding Effects
The 'chest' package applies the change-in-effect estimate method
for assessing confounding effects in medical and epidemiological research.
It starts with a crude model including only the outcome and exposure variables.
At each of the subsequent steps, one variable which creates the largest change
among the remaining variables is selected. This process is repeated until all
variables have been entered into the model (Wang Z (2007) <doi:10.1177/1536867X0700700203>).
Currently, the 'chest' package has functions for linear regression, logistic
regression, Cox proportional hazards model and conditional logistic regression.
tidyverse, survival, grid, speedglm, forestplot, broom,
tibble, MASS, scales, tidyselect