arsenal - An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of one or more categorical variables; paired(), a Table-1-like summary of multiple variable types paired across two time points; modelsum(), which performs simple model fits on one or more endpoints for many variables (univariate or adjusted for covariates); freqlist(), a powerful frequency table across many categorical variables; comparedf(), a function for comparing data.frames; and write2(), a function to output tables to a document.
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baseline-characteristicsdescriptive-statisticsmodelingpaired-comparisonsreportingstatisticstableone
12.62 score 226 stars 6 dependents 1.8k scripts 5.6k downloadselo - Ranking Teams by Elo Rating and Comparable Methods
A flexible framework for calculating Elo ratings and resulting rankings of any two-team-per-matchup system (chess, sports leagues, 'Go', etc.). This implementation is capable of evaluating a variety of matchups, Elo rating updates, and win probabilities, all based on the basic Elo rating system. It also includes methods to benchmark performance, including logistic regression and Markov chain models.
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eloelo-ratinglogistic-regressionmarkov-chainmarkov-modelrankingsports-analyticscpp
7.01 score 38 stars 135 scripts 530 downloadstv - Tools for Creating Time-Varying Datasets
Create a time-varying dataset using features, exposure, and look back specifications.
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3.78 score 12 scripts 208 downloads