chencaf's repositories
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
correlation
:link: Methods for Correlation Analysis
DiagrammeR
Graph and network visualization using tabular data in R.
easystats
:milky_way: The R easystats-project
effectsize
:dragon: Compute and work with indices of effect size and standardized parameters
enmSdm
Faster, better, smarter ecological niche modeling and species distribution modeling
factoextra
Extract and Visualize the Results of Multivariate Data Analyses
forecasting
Time Series Forecasting Best Practices & Examples
ggsignif
Easily add significance brackets to your ggplots
microbiomeMarker
R package for microbiome biomarker discovery
mlr
Machine Learning in R
modelbased
:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
modleR
An ecological niche model workflow based on dismo
pairwiseComparisons
Pairwise comparison tests for one-way designs π¬π
parameters
:bar_chart: Computation and processing of models' parameters
performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
qcmi
quantify the contributions of biotic interaction on microbial diversity patterns.
rotationforest
R rotation forest module
tidyBF
Tidy wrapper around `BayesFactor` R package π¬ππͺ
Tools-Microbiome-Analysis
A list of R environment based tools for microbiome data exploration, statistical analysis and visualization