Contributors: Dominique Makowski

Name: Dominique Makowski
Login: https://github.com/
Email: dom.mak19@gmail.com
Categories: Scientific Software
Sub Categories: Peer-reviewed
Topics: contrast-analysis, contrasts, easystats, estimate, marginal, marginal-effects, means, predict, dplyr, janitor, manipulation, reshape, tidyr, wrangling, ecog, eeg, electrocorticography, electroencephalography, magnetoencephalography, meg, neuroimaging, neuroscience, see, visualisation, aic, loo, mixed-models, r2, anova, cohens-d, compute, conversion, correlation, effect-size, effectsize, hedges-g, interpretation, standardization, standardized, beta, ci, confidence-intervals, data-reduction, fa, feature-extraction, feature-reduction, parameters, pca, pvalues, regression-models, robust-statistics, standardize, standardized-estimates, statistical-models, hrv, signal-processing, bayesian-correlations, biserial, cor, correlation-analysis, correlations, gamma, gaussian-graphical-models, matrix, multilevel-correlations, outliers, partial, partial-correlations, robust, spearman, bayes-factors, bayesfactor, bayesian-framework, credible-interval, hdi, posterior-distributions, rope, insight, names, predictors, apa, apa6, psycho, psychology, rstanarm, assessment, experiments, neuropsychology, questionnaire, tasks, analog, beta-regression, cognitive, likert, ordbeta, ordered, scales, survey, turing, biosignals, cardiac, ecg, eda, emg, entropy, eog, heart-rate, physiology, ppg, scr, signal, skin-conductance, software, bayesian-inference, bayesian-neural-networks, bayesian-statistics, hamiltonian-monte-carlo, hmc, mcmc, probabilistic-graphical-models, probabilistic-inference, probabilistic-models, probabilistic-programming, anovas, automated-report-generation, automatic, describe, report, reporting, reports, statsmodels