Calculating robust effect sizes using bootstrap (resampling) technique in R.
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Updated
Apr 9, 2023 - R
Calculating robust effect sizes using bootstrap (resampling) technique in R.
Master's thesis
This R package provides scoring mechanisms for computational challenges and implements the bayesBootLadderBoot approach for avoiding test data leakage.
EDOIF is a nonparametric framework based on estimation statistics principle. Its main purpose is to infer orders of empirical distributions from different categories base on a probability of finding a value in one distribution that greater than the expectation of another distribution.
Performed a probabilistic analysis on sample GPA data using techniques such as Empirical distribution, Bootstrapping and Bayesian Analysis.
R programming and its application to data analysis and statistical methods
Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators
Scripts developed for the Data Visualisation class
jeksterslabRboot is a collection of functions that I find useful in studying bootstrapping concepts and methods.
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