All packages

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COR — 0.0.1

The COR for Optimal Subset Selection in Distributed Estimation

cora — 0.1.0

Cora Data for Entity Resolution

coRanking — 0.2.5

Co-Ranking Matrix

corazon — 0.1.0

Apply 'colorffy' Color Gradients Within 'shiny' Elements

CorBin — 1.0.0

Generate High-Dimensional Binary Data with Correlation Structures

corbouli — 0.1.2

Corbae-Ouliaris Frequency Domain Filtering

corclass — 0.2.1

Correlational Class Analysis

cord — 0.1.1

Community Estimation in G-Models via CORD

cordillera — 1.0-3

Calculation of the OPTICS Cordillera

CORE — 3.2

Cores of Recurrent Events

coreCollection — 0.9.5

Core Collection

coreCT — 1.3.3

Programmatic Analysis of Sediment Cores Using Computed Tomography Imaging

corehunter — 3.2.3

Multi-Purpose Core Subset Selection

CORElearn — 1.57.3.1

Classification, Regression and Feature Evaluation

corels — 0.0.4

R Binding for the 'Certifiably Optimal RulE ListS (Corels)' Learner

CoreMicrobiomeR — 0.1.0

Identification of Core Microbiome

coreNLP — 0.4-3

Wrappers Around Stanford CoreNLP Tools

coreSim — 0.2.4

Core Functionality for Simulating Quantities of Interest from Generalised Linear Models

corHMM — 2.8

Hidden Markov Models of Character Evolution

corkscrew — 1.1

Preprocessor for Data Modeling

corlink — 1.0.0

Record Linkage, Incorporating Imputation for Missing Agreement Patterns, and Modeling Correlation Patterns Between Fields

CorMID — 0.2.1

Correct Mass Isotopologue Distribution Vectors

corncob — 0.4.1

Count Regression for Correlated Observations with the Beta-Binomial

CornerstoneR — 2.0.2

Collection of Scripts for Interface Between 'Cornerstone' and 'R'

cornet — 1.0.0

Penalised Regression for Dichotomised Outcomes

coro — 1.1.0

'Coroutines' for R

coroICA — 1.0.2

Confounding Robust Independent Component Analysis for Noisy and Grouped Data

corona — 0.3.0

Coronavirus ('Rona') Data Exploration

coronavirus — 0.4.1

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

corpcor — 1.6.10

Efficient Estimation of Covariance and (Partial) Correlation

corpmetrics — 1.0

Tools for Valuation, Financial Metrics and Modeling in Corporate Finance

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)

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