Imports: cli, magrittr, purrr, reticulate, rsvg
Suggests: covr, graphics, knitr, png, rmarkdown, testthat

Title: Functions to Extract, Clean and Analyse Online Chess Game Data
Authors@R: c(person("Jason Zivkovic", email = "jase.ziv83@gmail.com",
Description: 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.
Imports: rlang, jsonlite, dplyr, purrr, tidyr, stringr, lubridate,
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0), covr, chess

Title: Change-in-Estimate Approach to Assess Confounding Effects
Description: 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.
Imports: tidyverse, survival, grid, speedglm, forestplot, broom,

Description: Applies the change-in-effect estimate method to assess confounding
effects in medical and epidemiological research (Greenland & Pearce (2016)
<doi:10.1146/annurev-publhealth-031914-122559> ). 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
package has functions for linear regression, logistic regression, negative
binomial regression, Cox proportional hazards model and conditional logistic
Imports: broom, ggplot2, survival, grid, speedglm, forestplot, MASS,