Implementation of 2D Correlation Analysis in R

Nonparametrics with Clustered Binary and Multinomial Data

Finding Associations in Position-Wise Aligned DNA Sequence
Dataset

Correct Overloaded Peaks from GC-APCI-MS Data
R package CorrectOverloadedPeaks version 1.3.5

Corrected Test Statistics for Comparing Machine Learning Models
on Correlated Samples
R package correctR version 0.3.1

Correct and Standardize References for Scientific Manuscripts

Visualize Details Behind Pearson's Correlation Coefficient

Speed Up Exploratory Data Analysis (EDA) with the Correlation
Funnel
R package correlationfunnel version 0.2.0

Conduct Robust Correlations on Non-Normal Data

A Collection of Functions for Graphing Correlation Matrices

Creating Correspondence Tables Between Two Statistical
Classifications
R package correspondenceTables version 0.7.4

Estimate Correlations Between Repeatedly Measured Endpoints
(E.g., Reliability) Based on Linear Mixed-Effects Models
R package CorrMixed version 1.1

Clustered Random Forests for Optimal Prediction and Inference of
Clustered Data
R package corrRF version 1.1.0

Correlation-Based and Model-Based Predictor Pruning

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

Arbitrary Bounding of Series and Time Series Objects

Significance Testing of Rank Cross-Correlations under SRD

Compute Cortisol Sine Score (CSS) for Diurnal Cortisol Analysis

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

Fit Regularized Nonparametric Regression Models Using COSSO
Penalty

Sparse Nonparametric Regression for High-Dimensional Data