All packages

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ConNEcT — 0.7.27

Contingency Measure-Based Networks for Binary Time Series

connectapi — 0.3.0

Utilities for Interacting with the 'Posit Connect' Server API

ConnectednessApproach — 1.0.3

Connectedness Approach

connections — 0.2.0

Integrates with the 'RStudio' Connections Pane and 'pins'

connectoModa — 1.0.0

Download Data from Moda

connectwidgets — 0.2.1

Organize and Curate Your Content Within 'Posit Connect'

ConnMatTools — 0.3.5

Tools for Working with Connectivity Data

conogive — 1.0.0

Congeneric Normal-Ogive Model

conos — 1.5.2

Clustering on Network of Samples

conover.test — 1.1.6

Conover-Iman Test of Multiple Comparisons Using Rank Sums

conquer — 1.3.3

Convolution-Type Smoothed Quantile Regression

conquestr — 1.3.4

An R Package to Extend 'ACER ConQuest'

conrad — 1.0.0.1

Client for the Microsoft's 'Cognitive Services Text to Speech REST' API

ConsensusClustering — 1.5.0

Consensus Clustering

ConsensusOPLS — 1.0.0

Consensus OPLS for Multi-Block Data Fusion

conserveR — 1.0.4

Identifying Conservation Prioritization Methods Based on Data Availability

consibiocloudclient — 1.0.0

A Client for the 'Consibio Cloud' API

consolechoice — 1.1.1

An Easy and Quick Way to Loop a Character Vector as a Menu in the Console

consort — 1.2.2

Create Consort Diagram

consortr — 0.9.1

Interactive Consort Flow Diagrams

ConSpline — 1.2

Partial Linear Least-Squares Regression using Constrained Splines

ConsRank — 2.1.4

Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach

ConsRankClass — 1.0.1

Classification and Clustering of Preference Rankings

ConsReg — 0.1.0

Fits Regression & ARMA Models Subject to Constraints to the Coefficient

constants — 1.0.1

Reference on Constants, Units and Uncertainty

constellation — 0.2.0

Identify Event Sequences Using Time Series Joins

constrainedKriging — 0.2-8

Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging

conStruct — 1.0.6

Models Spatially Continuous and Discrete Population Genetic Structure

constructive — 1.0.1

Display Idiomatic Code to Construct Most R Objects

contactdata — 1.0.0

Social Contact Matrices for 177 Countries

container — 1.0.4

Extending Base 'R' Lists

ContaminatedMixt — 1.3.8

Clustering and Classification with the Contaminated Normal

contentid — 0.0.18

An Interface for Content-Based Identifiers

conText — 1.4.3

'a la Carte' on Text (ConText) Embedding Regression

contfrac — 1.1-12

Continued Fractions

contFracR — 1.2.1

Continued Fraction Generators and Evaluators

contingency — 0.0.10

Discrete Multivariate Probability Distributions

contingencytables — 3.0.1

Statistical Analysis of Contingency Tables

contoureR — 1.0.5

Contouring of Non-Regular Three-Dimensional Data

ContourFunctions — 0.1.2

Create Contour Plots from Data or a Function

contourPlot — 0.2.0

Plots x,y,z Co-Ordinates in a Contour Map

contrast — 0.24.2

A Collection of Contrast Methods

conTree — 0.3-1

Contrast Trees and Boosting

ContRespPP — 0.4.2

Predictive Probability for a Continuous Response with an ANOVA Structure

contribution — 0.2.2

A Tiny Contribution Table Generator Based on 'ggplot2'

control — 0.2.5

A Control Systems Toolbox

controlfunctionIV — 0.1.1

Control Function Methods with Possibly Invalid Instrumental Variables

controlTest — 1.1.0

Quantile Comparison for Two-Sample Right-Censored Survival Data

contsurvplot — 0.2.1

Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome

contTimeCausal — 1.1

Continuous Time Causal Models

convdistr — 1.6.2

Convolute Probabilistic Distributions

ConvergenceClubs — 2.2.5

Finding Convergence Clubs

ConvergenceConcepts — 1.2.3

Seeing Convergence Concepts in Action

convergEU — 0.7.3.2

Monitoring Convergence of EU Countries

conversim — 0.1.0

Conversation Similarity Analysis

convertBCD — 1.0

Convert Decimal to Binary-Coded Decimal (BCD) Form and Vice Versa

convertbonds — 0.1.0

Use the Given Parameters to Calculate the European Option Value

convertid — 0.1.8

Convert Gene IDs Between Each Other and Fetch Annotations from Biomart

ConvertPar — 0.1

Estimating IRT Parameters via Machine Learning Algorithms

convertr — 0.1

Convert Between Units

convevol — 2.2.1

Analysis of Convergent Evolution

convey — 1.0.0

Income Concentration Analysis with Complex Survey Samples

Convolutioner — 0.1.0

Convolution of Data

convoSPAT — 1.2.7

Convolution-Based Nonstationary Spatial Modeling

cooccur — 1.3

Probabilistic Species Co-Occurrence Analysis in R

CooccurrenceAffinity — 1.0

Affinity in Co-Occurrence Data

cookiecutter — 0.1.0

Generate Project Files from a Template

cookiemonster — 0.0.3

Your Friendly Solution to Managing Browser Cookies

cookies — 0.2.3

Use Browser Cookies with 'shiny'

CoOL — 1.1.2

Causes of Outcome Learning

cooltools — 2.4

Practical Tools for Scientific Computations and Visualizations

coop — 0.6-3

Co-Operation: Fast Covariance, Correlation, and Cosine Similarity Operations

CoopGame — 0.2.2

Important Concepts of Cooperative Game Theory

CoordinateCleaner — 3.0.1

Automated Cleaning of Occurrence Records from Biological Collections

CooRTweet — 2.0.2

Coordinated Networks Detection on Social Media

copBasic — 2.2.4

General Bivariate Copula Theory and Many Utility Functions

copCAR — 2.0-4

Fitting the copCAR Regression Model for Discrete Areal Data

copcor — 2024.7-31

Correlates of Protection and Correlates of Risk Functions

CopCTS — 1.0.0

Copula-Based Semiparametric Analysis for Time Series Data with Detection Limits

cope — 0.2.3

Coverage Probability Excursion (CoPE) Sets

copent — 0.5

Estimating Copula Entropy and Transfer Entropy

CopernicusDEM — 1.0.4

Copernicus Digital Elevation Models

CopernicusMarine — 0.2.3

Search Download and Handle Data from Copernicus Marine Service Information

cophescan — 1.4.1

Adaptation of the Coloc Method for PheWAS

coppeCosenzaR — 0.1.3

COPPE-Cosenza Fuzzy Hierarchy Model

copre — 0.2.1

Tools for Nonparametric Martingale Posterior Sampling

cops — 1.11-3

Cluster Optimized Proximity Scaling

CopSens — 0.1.0

Copula-Based Sensitivity Analysis for Observational Causal Inference

copula — 1.1-4

Multivariate Dependence with Copulas

Copula.Markov — 2.9

Copula-Based Estimation and Statistical Process Control for Serially Correlated Time Series

Copula.Markov.survival — 1.0.0

Copula Markov Model with Dependent Censoring

Copula.surv — 1.6

Analysis of Bivariate Survival Data Based on Copulas

copulaboost — 0.1.0

Fitting Additive Copula Regression Models for Binary Outcome Regression

CopulaCenR — 1.2.3

Copula-Based Regression Models for Multivariate Censored Data

copulaData — 0.0-2

Data Sets for Copula Modeling

copulaedas — 1.4.3

Estimation of Distribution Algorithms Based on Copulas

CopulaGAMM — 0.4.1

Copula-Based Mixed Regression Models

CopulaInference — 0.5.0

Estimation and Goodness-of-Fit of Copula-Based Models with Arbitrary Distributions

copulareg — 0.1.0

Copula Regression

CopulaREMADA — 1.6.2

Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies

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