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tldr - T Loux Doing R: Functions to Simplify Data Analysis and Reporting

Gives a number of functions to aid common data analysis processes and reporting statistical results in an 'RMarkdown' file. Data analysis functions combine multiple base R functions used to describe simple bivariate relationships into a single, easy to use function. Reporting functions will return character strings to report p-values, confidence intervals, and hypothesis test and regression results. Strings will be LaTeX-formatted as necessary and will knit pretty in an 'RMarkdown' document. The package also provides wrappers function in the 'tableone' package to make the results knit-able.

Last updated

3.40 score 5 stars 4 scripts 381 downloads

PropScrRand - Propensity Score Methods for Assigning Treatment in Randomized Trials

Contains functions to run propensity-biased allocation to balance covariate distributions in sequential trials and propensity-constrained randomization to balance covariate distributions in trials with known baseline covariates at time of randomization. Currently only supports trials comparing two groups.

Last updated

2.00 score 5 scripts 357 downloads

paramhetero - Numeric and Visual Comparisons of Heterogeneity in Parametric Models

Performs statistical tests to compare coefficients and residual variance across models. Also provides graphical methods for assessing heterogeneity in coefficients and residuals. Currently supports linear models, generalized linear models, and their survey-weighted analogues.

Last updated

2.00 score 166 downloads