Statistical package in Python based on Pandas
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Updated
May 27, 2024 - Python
Statistical package in Python based on Pandas
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Multiple hypothesis testing in Python
The Scott-Knott Effect Size Difference (ESD) test
Design of single- and multi-stage multi-arm clinical trials
Romano-Wolf p-value adjustments for multiple hypotheses testing via the wild bootstrap for objects of type fixest and fixest_multi from the fixest package
A statistics package with a variety of bootstrap and other resampling tools
SimOutUtils - Utilities for analyzing time series simulation output
Python package for permutation tests, for statistics and machine learning.
This is my first repository, it contains my final project in the class of Experimental Design with R Programming. In this project i was working with my team to diagnose an appropiate statistical model for Randomized Complete Block Design (RCBD) with 3 factors.
AskoR pipeline: analysis of gene expression data, using edgeR.
Adjust p-values for multiple comparisons
python package for generating compact letter display, summarizing results of posthoc comparison tests after ANOVA
This code was written and used for statistical analysis and visualisation of data included in Drube et al. 2021.
Simulation studies of power and Type I error of mass univariate statistics for ERP data
A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.
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