All packages

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clustvarsel — 2.3.4

Variable Selection for Gaussian Model-Based Clustering

ClusVis — 1.2.0

Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering

clv — 0.3-2.4

Cluster Validation Techniques

clValid — 0.7

Validation of Clustering Results

CLVTools — 0.11.1

Tools for Customer Lifetime Value Estimation

cmaes — 1.0-12

Covariance Matrix Adapting Evolutionary Strategy

cmaesr — 1.0.3

Covariance Matrix Adaptation Evolution Strategy

cmahalanobis — 0.4.2

Calculate Distance Measures for a Given List of Data Frames with Factors

CMAPSS — 0.1.1

Commercial Modular Aero-Propulsion System Simulation Data Set

CMapViz — 0.1.0

Representation Tool For Output Of Connectivity Map (CMap) Analysis

cmaRs — 0.1.3

Implementation of the Conic Multivariate Adaptive Regression Splines in R

cmbClust — 0.0.1

Conditional Mixture Modeling and Model-Based Clustering

cmce — 0.1.0

Computer Model Calibration for Deterministic and Stochastic Simulators

cmcR — 0.1.11

An Implementation of the 'Congruent Matching Cells' Method

cmdfun — 1.0.2

Framework for Building Interfaces to Shell Commands

cmenet — 0.1.2

Bi-Level Selection of Conditional Main Effects

CMF — 1.0.3

Collective Matrix Factorization

cmfrec — 3.5.1-3

Collective Matrix Factorization for Recommender Systems

CMFsurrogate — 1.0

Calibrated Model Fusion Approach to Combine Surrogate Markers

CMGFM — 1.1

Covariate-Augumented Generalized Factor Model

cmhc — 0.2.9

Access, Retrieve, and Work with CMHC Data

CMHNPA — 1.1.1

Cochran-Mantel-Haenszel and Nonparametric ANOVA

cml — 0.2.2

Conditional Manifold Learning

CMLS — 1.0-1

Constrained Multivariate Least Squares

cmm — 1.0

Categorical Marginal Models

cmmr — 1.0.3

CEU Mass Mediator RESTful API

CMMs — 1.0.0

Compositional Mediation Model

cmna — 1.0.5

Computational Methods for Numerical Analysis

cmocean — 0.3-2

Beautiful Colour Maps for Oceanography

CMplot — 4.5.1

Circle Manhattan Plot

cmprsk — 2.2-12

Subdistribution Analysis of Competing Risks

cmprskcoxmsm — 0.2.1

Use IPW to Estimate Treatment Effect under Competing Risks

cmprskQR — 0.9.2

Analysis of Competing Risks Using Quantile Regressions

cmpsR — 0.1.2

R Implementation of Congruent Matching Profile Segments Method

cmR — 1.1

Analysis of Cardiac Magnetic Resonance Images

cmrutils — 1.3.1

Misc Functions of the Center for Mathematical Research

cms — 0.1.0

Calculate Medicare Reimbursement

cmsaf — 3.5.2

A Toolbox for CM SAF NetCDF Data

cmsafops — 1.4.0

Tools for CM SAF NetCDF Data

cmsafvis — 1.2.9

Tools to Visualize CM SAF NetCDF Data

CMShiny — 0.1.0

Interactive Document for Working with Confusion Matrix

cmstatr — 0.10.0

Statistical Methods for Composite Material Data

cmstatrExt — 0.4.0

More Statistical Methods for Composite Material Data

cmtest — 0.1-2

Conditional Moments Test

cmvnorm — 1.0-7

The Complex Multivariate Gaussian Distribution

cna — 3.6.2

Causal Modeling with Coincidence Analysis

CNAIM — 2.1.4

Common Network Asset Indices Methodology (CNAIM)

cnaOpt — 0.5.2

Optimizing Consistency and Coverage in Configurational Causal Modeling

cnbdistr — 1.0.1

Conditional Negative Binomial Distribution

cncaGUI — 1.1

Canonical Non-Symmetrical Correspondence Analysis in R

CNID — 1.3.1

Get Basic Information from Chinese ID Number

CNLTreg — 0.1-2

Complex-Valued Wavelet Lifting for Signal Denoising

CNLTtsa — 0.1-2

Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis

cnmap — 0.1.0

China Map Data from AutoNavi Map

cNORM — 3.4.0

Continuous Norming

CNprep — 2.2

Pre-Process DNA Copy Number (CN) Data for Detection of CN Events

CNPS — 1.0.0

Nonparametric Statistics

cnum — 0.1.3

Chinese Numerals Processing

CNVRG — 1.0.0

Dirichlet Multinomial Modeling of Relative Abundance Data

CNVScope — 3.7.2

A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization

coala — 0.7.2

A Framework for Coalescent Simulation

coalescentMCMC — 0.4-4

MCMC Algorithms for the Coalescent

COAP — 1.2

High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model

coarseDataTools — 0.6-6

Analysis of Coarsely Observed Data

CoastlineFD — 1.1.2

Calculation of the Fractal Dimension of a Coastline

coat — 0.2.0

Conditional Method Agreement Trees (COAT)

cobalt — 4.5.5

Covariate Balance Tables and Plots

cobiclust — 0.1.2

Biclustering via Latent Block Model Adapted to Overdispersed Count Data

cobs — 1.3-8

Constrained B-Splines (Sparse Matrix Based)

coca — 1.1.0

Cluster-of-Clusters Analysis

cocktailApp — 0.2.3

'shiny' App to Discover Cocktails

CoClust — 0.3-2

Copula Based Cluster Analysis

coconots — 1.1.3

Convolution-Closed Models for Count Time Series

cocons — 0.1.3

Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

COCONUT — 1.0.2

COmbat CO-Normalization Using conTrols (COCONUT)

cocoon — 0.1.0

Extract, Format, and Print Statistical Output

cocor — 1.1-4

Comparing Correlations

cocorresp — 0.4-5

Co-Correspondence Analysis Methods

cocosoR — 0.1.0

CoCoSo - Combined Compromise Solution Method for MCDA

cocotest — 1.0.3

Dependence Condition Test Using Ranked Correlation Coefficients

cocron — 1.0-1

Statistical Comparisons of Two or more Alpha Coefficients

coda — 0.19-4.1

Output Analysis and Diagnostics for MCMC

coda.base — 0.5.5

A Basic Set of Functions for Compositional Data Analysis

coda4microbiome — 0.2.4

Compositional Data Analysis for Microbiome Studies

codacore — 0.0.4

Learning Sparse Log-Ratios for Compositional Data

CoDaImpact — 0.1.0

Interpreting CoDa Regression Models

codalm — 0.1.2

Transformation-Free Linear Regression for Compositional Outcomes and Predictors

codaredistlm — 0.1.0

Compositional Data Linear Models with Composition Redistribution

CodataGS — 1.43

Genomic Prediction Using SNP Codata

cOde — 1.1.1

Automated C Code Generation for 'deSolve', 'bvpSolve'

codebook — 0.9.5

Automatic Codebooks from Metadata Encoded in Dataset Attributes

codebookr — 0.1.8

Create Codebooks from Data Frames

codebreaker — 1.0.1

Retro Logic Game

codeCollection — 0.1.3

Collection of Codes with Labels

codecountR — 0.0.4.5

Counting Codes in a Text and Preparing Data for Analysis

CodeDepends — 0.6.6

Analysis of R Code for Reproducible Research and Code Comprehension

CodelistGenerator — 3.3.1

Identify Relevant Clinical Codes and Evaluate Their Use

codemeta — 0.1.1

A Smaller 'codemetar' Package

codemetar — 0.3.5

Generate 'CodeMeta' Metadata for R Packages

codename — 0.5.0

Generation of Code Names for Organizations, People, Projects, and Whatever Else

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