rPackages

Explore Correlations Between Variables in a Machine Learning Model

Correlated Weighted Hochberg

Correlated Meta-Analysis

Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mi…

Visualization of a Correlation Matrix

Correlations in R

Clustered Random Forests for Optimal Prediction and Inference of Clustered Data

Software for Summarising and Evaluating STRUCTURE Output

Creates and Saves Out a Correlation Table with Significance Levels Indicated

Modeling Correlational Magnitude Transformations in Discretization Contexts

Visualise Correlations

Arbitrary Bounding of Series and Time Series Objects

Robust Tests for Equal Correlation

Significance Testing of Rank Cross-Correlations under SRD

Inference of Gene Regulatory Networks

Compute Cortisol Sine Score (CSS) for Diurnal Cortisol Analysis

Create and Format Correlation Matrices

Bound Constrained Optimal Sample Size Allocation

Cosine-Correlation Coefficient for Vector Variables

Fast Fitting of Stable Isotope Mixing Models with Covariates

Tools for Estimating and Predicting the Cosinor Model

Extended Tools for Cosinor Analysis of Rhythms

Mutational Signatures from COSMIC (Catalogue of Somatic Mutations in Cancer)

Cosmological Distances, Times, Luminosities, Etc

Complete Stochastic Modelling Solution

Fit Regularized Nonparametric Regression Models Using COSSO Penalty

Sparse Nonparametric Regression for High-Dimensional Data

Copula-Based Semiparametric Models for Spatio-Temporal Data

Time Series Costationarity Determination

Cost-Sensitive Multi-Class Classification

Continuous Time Meta-Analysis ('CoTiMA')

Count Transformation Models

Consistent Co-Trending Rank Selection

Functions, Data and Code for Count Data

Locates and Counts Pixels Within Color Range(s) in Images

The Beta-Binomial Test for Count Data

Estimation of Count Data Models

A Countdown Timer for HTML Presentations, Documents, and Web Apps

Estimation and Inference Methods for Counterfactual Analysis

Counterfactual Explanations

Randomization-Based Inference

Comprehensive Automatized Evaluation of Distribution Models for Count Data

Discrete Response Regression for High-Dimensional Data

Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts

Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq

Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data

Flexible Univariate Count Models Based on Renewal Processes

Deal with Country Data in an Easy Way

Convert Country Names and Country Codes

Mean and Variance Modeling of Count Data

Splitting a Count Matrix into Independent Folds

Flexible Modeling of Count Data

Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM)

Transform Counts in RNA-Seq Data Analysis

Thomson Sampling for Zero-Inflated Count Outcomes

Programmatic Access to County Health Rankings & Roadmaps Data

Packages and Functions for 'CourseKata' Courses

Implement Covariate-Adaptive Randomization

Local Polynomial Regression of State Dependent Covariates in State-Space Models

Constructing Joint Distributions with Control Over Statistical Properties

Tests on Properties of Space-Time Covariance Functions

Brownian Motion Processes for 'nlme'-Models

Combine Partial Covariance / Relationship Matrices

Statistical Tests for Covariance and Correlation Matrices and their Structures

Covariate Dependent Graph Estimation

Produce Forest Plots to Visualize Covariate Effects

Test for Equality of Covariance Matrices

Clustering with Overlaps

Process Digital Cover Photography Images of Tree Crowns

Coverage Correlation Coefficient and Testing for Independence

Nonparametric Estimators for Covariance Functions

Political Linguistics Toolkit - Gaffes, Phonetics, and Text Transformation

Sparse Covariance Matrix Estimation

R Interface to COVID-19 Data Hub

Brazilian COVID-19 Pandemic Data