Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: effect-size
easystats/effectsize
:dragon: Compute and work with indices of effect size and standardized parameters
Language: PostScript - Size: 33.8 MB - Last synced: 3 days ago - Pushed: 11 days ago - Stars: 324 - Forks: 22
IndrajeetPatil/ggstatsplot
Enhancing {ggplot2} plots with statistical analysis 📊📣
Language: R - Size: 2.14 GB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 1,936 - Forks: 179
raphaelvallat/pingouin
Statistical package in Python based on Pandas
Language: Python - Size: 14.1 MB - Last synced: 6 days ago - Pushed: about 2 months ago - Stars: 1,541 - Forks: 137
hauselin/rshinyapp_effectsizeconverter 📦
This repo is no longer being maintained. See this repo instead: https://github.com/hauselin/esconvert
Language: R - Size: 547 KB - Last synced: 22 days ago - Pushed: about 5 years ago - Stars: 3 - Forks: 0
cwendorf/EASI
Estimation Approach to Statistical Inference [R Package]
Language: R - Size: 71.7 MB - Last synced: 21 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0
kylehamilton/MAVIS
MAVIS: Meta Analysis via Shiny
Language: R - Size: 240 KB - Last synced: 6 days ago - Pushed: about 6 years ago - Stars: 35 - Forks: 14
strengejacke/esc
Effect Size Computation for Meta Analysis
Language: R - Size: 341 KB - Last synced: 27 days ago - Pushed: 8 months ago - Stars: 19 - Forks: 5
nbashir97/effectsize
A Python package for computing effect sizes
Language: Python - Size: 998 KB - Last synced: 10 days ago - Pushed: almost 2 years ago - Stars: 21 - Forks: 1
mickcrosse/PERMUTOOLS
A MATLAB package for multivariate permutation testing and effect size measurement
Language: MATLAB - Size: 1.74 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 9 - Forks: 1
MeteSertkan/ranger
Ranger helps you see the forest among the trees - Ranger is an effect-size meta analysis library creating beautiful forest plots!
Language: Python - Size: 4.46 MB - Last synced: 4 months ago - Pushed: 12 months ago - Stars: 10 - Forks: 0
klainfo/ScottKnottESD
The Scott-Knott Effect Size Difference (ESD) test
Language: R - Size: 360 KB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 36 - Forks: 13
inbo/effectclass
Interpret effects and visualise uncertainty
Language: R - Size: 5.21 MB - Last synced: 22 days ago - Pushed: 3 months ago - Stars: 3 - Forks: 1
hhentschke/measures-of-effect-size-toolbox
Collection of Matlab functions for the computation of measures of effect size
Language: Matlab - Size: 4.13 MB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 28 - Forks: 15
cwendorf/BASE
Basic Analytical Statistics with Excel
Size: 17.8 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 0
guhjy/PlotsOfData Fork of JoachimGoedhart/PlotsOfData
Shiny App for comparison of samples
Language: R - Size: 846 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0
guhjy/PlotsOfDifferences Fork of JoachimGoedhart/PlotsOfDifferences
Shiny App for comparison of samples and plotting effect size
Language: R - Size: 191 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0
guhjy/MOTE Fork of doomlab/MOTE
Magnitude of the Effect - An Effect Size and CI calculator
Language: R - Size: 1.19 MB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0
guhjy/ggeffects Fork of strengejacke/ggeffects
Tidy Data Frames of Marginal Effects for ggplot2
Language: R - Size: 271 KB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0
guhjy/d-sims Fork of doomlab/d-sims
Exploring the bias and cis for cohen's d
Language: R - Size: 967 KB - Last synced: 10 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0
lindayi/distdiff
An R package for visualizing comparison between two distributions.
Language: R - Size: 25.4 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 10 - Forks: 1
MeteSertkan/meta-analysis-based-recsys-eval
Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation of RecSys Experiments
Language: Jupyter Notebook - Size: 4.13 MB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0
klaudia-nazarko/iv-and-woe-python
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
Language: Jupyter Notebook - Size: 1.77 MB - Last synced: 7 months ago - Pushed: about 2 years ago - Stars: 42 - Forks: 26
bac7wj/contra
Two sample data analysis method that tests for negligible and meaningful effect sizes (through difference in means)
Language: R - Size: 656 KB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0
ThomasJNicoletti/Effect
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
Language: Python - Size: 7.81 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
dgerlanc/bootES
Calculating robust effect sizes using bootstrap (resampling) technique in R.
Language: R - Size: 153 KB - Last synced: 2 days ago - Pushed: about 1 year ago - Stars: 10 - Forks: 0
harryscholes/EffectSizes.jl
Effect size measures
Language: Julia - Size: 186 KB - Last synced: 16 days ago - Pushed: 3 months ago - Stars: 3 - Forks: 2
makcfd/Social_studies_lab
Social studies lab dedicated to preferences between NA and EU in board games
Language: Jupyter Notebook - Size: 1.53 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0
hhentschke/simulate-standardized-mean-differences
Computation and visualization of standardized mean differences from simulated data
Language: MATLAB - Size: 43.9 KB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0
gasparl/esdi
A Shiny R web application to estimate differences in diagnostic efficiency based on differences between single-condition cases.
Language: R - Size: 747 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0
mathsyouth/statistics_notes
Identifying and avoiding common misinterpretations in using statistics
Language: Jupyter Notebook - Size: 55.7 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0