Extracting, Computing and Exploring the Parameters of Statistical Models using R
Extracting, Computing and Exploring the Parameters of Statistical Models using R - Published in JOSS (2020)
presize
presize: An R-package for precision-based sample size calculation in clinical research - Published in JOSS (2021)
Hypothesize
Hypothesize: Robust Statistics for Python - Published in JOSS (2020)
mapie
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
semmcci
semmcci: Monte Carlo Confidence Intervals in Structural Equation Modeling
betaMC
betaMC: Generates Monte Carlo confidence intervals for standardized regression coefficients for models fitted by lm().
betaNB
betaNB: Generates nonparametric bootstrap confidence intervals for standardized regression coefficients and other effect sizes for models fitted by lm().
adjustedCurves
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.
neatStats
neatStats: An R package for neat and painless statistical reporting.
basic_statistics
Repository for teaching basics of statistics for machine learning
https://github.com/dmetivie/robustmeans.jl
Implement some Robust Mean Estimators
cvAUC
Computationally efficient confidence intervals for cross-validated AUC estimates in R
semlbci
Find the likelihood based confidence intervals for parameters in structural equation modeling
concurve
A repository for the 'concurve' R package which generates confidence distributions and likelihood functions. Includes documentation on how to do produce similar graphs for Stata.
betaselectr
Do selective standardization in structural equation models and regression models
betasandwich
betaSandwich: Robust Confidence Intervals for Standardized Regression Coefficients
https://github.com/danielvandh/profilelikelihood.jl
Methods for profile likelihood analysis.
https://github.com/kukuster/ci_methods_analyser
Analyse efficacy of your own confidence interval (CI) methods
betaDelta
betaDelta: Confidence Intervals for Standardized Regression Coefficients
https://github.com/awslabs/cis-matching-tasks
A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.
https://github.com/braindatalab/calibrain
Python framework for uncertainty estimation and calibration in EEG/MEG inverse source imaging.
manbetaciwald
Research compendium for the manuscript Pesigan, I. J. A., Sun, R. W., & Cheung, S. F. (2023). betaDelta and betaSandwich: Confidence intervals for standardized regression coefficients in R. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2201277
RegrCoeffsExplorer
A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.