chencaf

chencaf

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Location:China

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awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

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bayestestR

:ghost: Utilities for analyzing Bayesian models and posterior distributions

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correlation

:link: Methods for Correlation Analysis

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DiagrammeR

Graph and network visualization using tabular data in R.

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easystats

:milky_way: The R easystats-project

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effectsize

:dragon: Compute and work with indices of effect size and standardized parameters

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enmSdm

Faster, better, smarter ecological niche modeling and species distribution modeling

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esquisse

RStudio add-in to make plots with ggplot2

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factoextra

Extract and Visualize the Results of Multivariate Data Analyses

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forecasting

Time Series Forecasting Best Practices & Examples

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ggsignif

Easily add significance brackets to your ggplots

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microbiomeMarker

R package for microbiome biomarker discovery

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microeco

An R package for data analysis in microbial community ecology

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mlr

Machine Learning in R

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mlr3

mlr3: Machine Learning in R - next generation

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modelbased

:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models

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modleR

An ecological niche model workflow based on dismo

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pairwiseComparisons

Pairwise comparison tests for one-way designs πŸ”¬πŸ“

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parameters

:bar_chart: Computation and processing of models' parameters

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performance

:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

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prismatic

color manipulation R package Simply and Tidy

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qcmi

quantify the contributions of biotic interaction on microbial diversity patterns.

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rasterdiv

Diversity Indices for Numerical Matrices

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report

:scroll: :tada: Automated reporting of objects in R

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rotationforest

R rotation forest module

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rstatix

Pipe-friendly Framework for Basic Statistical Tests in R

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see

:art: Visualisation toolbox for beautiful and publication-ready figures

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tidyBF

Tidy wrapper around `BayesFactor` R package 🍬🌟πŸŽͺ

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Tools-Microbiome-Analysis

A list of R environment based tools for microbiome data exploration, statistical analysis and visualization

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