All packages

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corpora — 0.6

Statistics and Data Sets for Corpus Frequency Data

corporaexplorer — 0.9.0

A 'Shiny' App for Exploration of Text Collections

CoRpower — 1.0.4

Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials

corpustools — 0.5.1

Managing, Querying and Analyzing Tokenized Text

corr2D — 1.0.3

Implementation of 2D Correlation Analysis in R

corrarray — 1.2.0

Correlation Arrays and 2-Sample Correlation Matrices

CorrBin — 1.6.2

Nonparametrics with Clustered Binary and Multinomial Data

corrcoverage — 1.2.1

Correcting the Coverage of Credible Sets from Bayesian Genetic Fine Mapping

corrDNA — 1.0.1

Finding Associations in Position-Wise Aligned DNA Sequence Dataset

correctedAUC — 0.0.3

Correcting AUC for Measurement Error

CorrectedFDR — 1.1

Correcting False Discovery Rates

CorrectOverloadedPeaks — 1.3.3

Correct Overloaded Peaks from GC-APCI-MS Data

correctR — 0.2.1

Corrected Test Statistics for Comparing Machine Learning Models on Correlated Samples

correlation — 0.8.6

Methods for Correlation Analysis

correlationfunnel — 0.2.0

Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel

correlbinom — 0.0.1

Correlated Binomial Probabilities

Correlplot — 1.1.0

A Collection of Functions for Graphing Correlation Matrices

correspondenceTables — 0.7.4

Creating Correspondence Tables Between Two Statistical Classifications

corrfuns — 1.0

Correlation Coefficient Related Functions

corrgram — 1.14

Plot a Correlogram

corrgrapher — 1.0.4

Explore Correlations Between Variables in a Machine Learning Model

corrMCT — 0.2.0

Correlated Weighted Hochberg

corrmeta — 1.0.0

Correlated Meta-Analysis

CorrMixed — 1.1

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

corrplot — 0.95

Visualization of a Correlation Matrix

corrr — 0.4.4

Correlations in R

corrsieve — 1.6-9

Software for Summarising and Evaluating STRUCTURE Output

corrtable — 0.1.1

Creates and Saves Out a Correlation Table with Significance Levels Indicated

CorrToolBox — 1.6.4

Modeling Correlational Magnitude Transformations in Discretization Contexts

corrViz — 0.1.0

Visualise Correlations

corset — 0.1-5

Arbitrary Bounding of Series and Time Series Objects

corTest — 1.0.7

Robust Tests for Equal Correlation

corTESTsrd — 1.0-0

Significance Testing of Rank Cross-Correlations under SRD

corto — 1.2.4

Inference of Gene Regulatory Networks

corx — 1.0.7.2

Create and Format Correlation Matrices

cosa — 2.1.0

Bound Constrained Optimal Sample Size Allocation

cosimmr — 1.0.12

Fast Fitting of Stable Isotope Mixing Models with Covariates

cosinor — 1.2.3

Tools for Estimating and Predicting the Cosinor Model

cosinor2 — 0.2.1

Extended Tools for Cosinor Analysis of Rhythms

cosmicsig — 1.1.1

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

cosmoFns — 1.1-1

Functions for Cosmological Distances, Times, Luminosities, Etc

CoSMoS — 2.1.0

Complete Stochastic Modelling Solution

cosso — 2.1-2

Fit Regularized Nonparametric Regression Models Using COSSO Penalty

COST — 0.1.0

Copula-Based Semiparametric Models for Spatio-Temporal Data

costat — 2.4.1

Time Series Costationarity Determination

costsensitive — 0.1.2.10

Cost-Sensitive Multi-Class Classification

CoTiMA — 0.8.0

Continuous Time Meta-Analysis ('CoTiMA')

cotram — 0.5-2

Count Transformation Models

cotrend — 1.0.2

Consistent Co-Trending Rank Selection

COUNT — 1.3.4

Functions, Data and Code for Count Data

countcolors — 0.9.1

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

countdata — 1.3

The Beta-Binomial Test for Count Data

countDM — 0.1.0

Estimation of Count Data Models

countdown — 0.4.0

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

Counterfactual — 1.2

Estimation and Inference Methods for Counterfactual Analysis

counterfactuals — 0.1.6

Counterfactual Explanations

Counternull — 0.2.12

Randomization-Based Inference

countfitteR — 1.4

Comprehensive Automatized Evaluation of Distribution Models for Count Data

countgmifs — 0.0.2

Discrete Response Regression for High-Dimensional Data

countHMM — 0.1.0

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

countland — 0.1.2

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

countprop — 1.0.1

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

Countr — 3.5.8

Flexible Univariate Count Models Based on Renewal Processes

countries — 1.2.0

Deal with Country Data in an Easy Way

countrycode — 1.6.0

Convert Country Names and Country Codes

CountsEPPM — 3.1

Mean and Variance Modeling of Count Data

countsplit — 4.0.0

Splitting a Count Matrix into Independent Folds

countSTAR — 1.0.2

Flexible Modeling of Count Data

countToFPKM — 1.0

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

countTransformers — 0.0.6

Transform Counts in RNA-Seq Data Analysis

countts — 0.1.0

Thomson Sampling for Zero-Inflated Count Outcomes

coursekata — 0.18.0

Packages and Functions for 'CourseKata' Courses

covadap — 1.0.1

Implement Covariate-Adaptive Randomization

covafillr — 0.4.4

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

covalchemy — 1.0.0

Constructing Joint Distributions with Control Over Statistical Properties

covatest — 1.2.3

Tests on Properties of Space-Time Covariance Functions

covBM — 0.1.0

Brownian Motion Processes for 'nlme'-Models

CovCombR — 1.0

Combine Partial Covariance / Relationship Matrices

covdepGE — 1.0.1

Covariate Dependent Graph Estimation

coveffectsplot — 1.0.5

Produce Forest Plots to Visualize Covariate Effects

covequal — 0.1.0

Test for Equality of Covariance Matrices

COveR — 1.1.0

Clustering with Overlaps

coveR2 — 1.0.0

Process Digital Cover Photography Images of Tree Crowns

covfefe — 0.1.0

Covfefy Any Word, Sentence or Speech

covglasso — 1.0.3

Sparse Covariance Matrix Estimation

COVID19 — 3.0.3

R Interface to COVID-19 Data Hub

covid19.analytics — 2.1.3.3

Load and Analyze Live Data from the COVID-19 Pandemic

covid19br — 0.1.8

Brazilian COVID-19 Pandemic Data

covid19brazil — 0.1.0

COVID-19 Dataset for Brazil

covid19dbcand — 0.1.1

Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in R Format

covid19france — 0.1.0

Cases of COVID-19 in France

covid19india — 0.1.4

Pulling Clean Data from Covid19india.org

covid19italy — 0.3.1

The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset

covid19sf — 0.1.2

The Covid19 San Francisco Dataset

covid19srilanka — 1.1.0

The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri Lanka

covid19swiss — 0.1.0

COVID-19 Cases in Switzerland and Principality of Liechtenstein

covid19tunisia — 0.1.0

Cases of COVID-19 in Tunisia

covid19us — 0.1.9

Cases of COVID-19 in the United States

covidcast — 0.5.2

Client for Delphi's 'COVIDcast Epidata' API

COVIDIBGE — 0.2.2

Downloading, Reading and Analyzing PNAD COVID19 Microdata

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