Imports: bit64, blob (>= 1.2.0), DBI (>= 1.0.0), hms, methods, rlang,
Suggests: covr, DBItest, magrittr, RSQLite, testthat, tibble

person(given = "Oliver", "Gjoneski", role = "ctb", comment = "detule"),

Description: Conversion between the most common odds types for sports betting. Hong Kong odds, US odds, Decimal odds, Indonesian odds, Malaysian odds, and raw Probability are covered in this package.
Packaged: 2015-06-04 15:15:08 UTC; administrator

Description: Conversion between the most common odds types for sports betting.
Hong Kong odds, US odds, Decimal odds, Indonesian odds, Malaysian odds, and raw
Probability are covered in this package.

Title: Odds Ratios, Contingency Table, and Model Significance from a
Description: Computes odds ratios and 95% confidence intervals from a generalized linear model object. It also computes model significance with the chi-squared statistic and p-value and it computes model fit using a contingency table to determine the percent of observations for which the model correctly predicts the value of the outcome. Calculates model sensitivity and specificity.

Title: Access Live Sports Odds from the Odds API
Authors@R: c(person("Saiem", "Gilani", email = "saiem.gilani@gmail.com", role = c("aut", "cre")))
Description: A utility to quickly obtain clean and tidy sports
odds from The Odds API <https://the-odds-api.com>.
Imports: cli (>= 1.1.0), data.table (>= 1.14.0), dplyr, glue, httr (>=
0.5), janitor, jsonlite, magrittr, rlang (>= 0.4.0), rvest (>=
Suggests: crayon (>= 1.3.4), curl, DBI, ggplot2, ggrepel, gt, knitr,
(>= 1.0.7), RcppParallel (>= 5.1.4), rmarkdown, RSQLite, stats,
stringi, stringr (>= 1.3.0), testthat, tibble (>= 3.0), usethis

Title: Odds Ratio Calculation for GAM & GLM
Description: Simplified odds ratio calculation of GAM(M)s & GLM(M)s.
Provides structured output (data frame) of all predictors and their corresponding odds ratios
for further analyses. It helps to avoid false references of predictors and increments by
specifying these parameters in a list instead of using 'exp(coef(model))'
(standard approach of odds ratio calculation for GLMs) which just returns a plain numeric output.
For GAM(M)s, odds ratio calculation is highly simplified with this package since it takes care of
the multiple 'predict()' calls of the chosen predictor while holding other predictors constant.
Also, this package allows odds ratio calculation of percentage steps across the whole
predictor distribution range for GAM(M)s.