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karoliskoncevicius
matrixTests:Fast Statistical Hypothesis Tests on Rows and Columns of Matrices
Functions to perform fast statistical hypothesis tests on rows/columns of matrices. The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use, 3) compatibility with tests implemented in R (like those available in the 'stats' package).
Maintained by Karolis Koncevičius. Last updated 1 years ago.
anovafasthypothesis-testingmatrixrowst-testwilcoxon-test
36 stars 7.61 score 272 scripts 9 dependents
fbartos
RoBTT:Robust Bayesian T-Test
An implementation of Bayesian model-averaged t-tests that allows users to draw inferences about the presence versus absence of an effect, variance heterogeneity, and potential outliers. The 'RoBTT' package estimates ensembles of models created by combining competing hypotheses and applies Bayesian model averaging using posterior model probabilities. Users can obtain model-averaged posterior distributions and inclusion Bayes factors, accounting for uncertainty in the data-generating process (Maier et al., 2024, <doi:10.3758/s13423-024-02590-5>). The package also provides a truncated likelihood version of the model-averaged t-test, enabling users to exclude potential outliers without introducing bias (Godmann et al., 2024, <doi:10.31234/osf.io/j9f3s>). Users can specify a wide range of informative priors for all parameters of interest. The package offers convenient functions for summary, visualization, and fit diagnostics.
Maintained by František Bartoš. Last updated 5 months ago.
bayesianmodel-averagingoutlierst-testcpp
3 stars 5.26 score 9 scripts