All packages

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ClustImpute — 0.2.4

K-Means Clustering with Build-in Missing Data Imputation

clustlearn — 1.0.0

Learn Clustering Techniques Through Examples and Code

ClustMC — 0.1.1

Cluster-Based Multiple Comparisons

clustMD — 1.2.1

Model Based Clustering for Mixed Data

clustMixType — 0.4-2

k-Prototypes Clustering for Mixed Variable-Type Data

clustNet — 1.2.0

Network-Based Clustering

ClustOfVar — 1.2

Clustering of Variables

clustord — 1.3.4

Cluster Ordinal Data via Proportional Odds or Ordered Stereotype

ClusTorus — 0.2.2

Prediction and Clustering on the Torus by Conformal Prediction

clustra — 0.2.1

Clustering Longitudinal Trajectories

clusTransition — 1.0

Monitor Changes in Cluster Solutions of Dynamic Datasets

clustrd — 1.4.0

Methods for Joint Dimension Reduction and Clustering

clustree — 0.5.1

Visualise Clusterings at Different Resolutions

clustringr — 1.0

Cluster Strings by Edit-Distance

CLUSTShiny — 0.1.0

Interactive Document for Working with Cluster Analysis

clustTMB — 0.1.0

Spatio-Temporal Finite Mixture Model using 'TMB'

clustur — 0.1.3

Clustering

ClustVarLV — 2.1.1

Clustering of Variables Around Latent Variables

clustvarsel — 2.3.5

Variable Selection for Gaussian Model-Based Clustering

clv — 0.3-2.4

Cluster Validation Techniques

clValid — 0.7

Validation of Clustering Results

CLVTools — 0.11.2

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 — 0.5.0

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

cmAnalysis — 1.0.0

Process and Visualise Concept Mapping Data

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

CMatching — 2.4

Matching Algorithms for Causal Inference with Clustered Data

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 — 0.2.10

Access, Retrieve, and Work with CMHC Data

CMHNPA — 1.1.1

Cochran-Mantel-Haenszel and Nonparametric ANOVA

CMHSU — 0.0.6.9

Mental Health Status, Substance Use Status and their Concurrent Status in North American Healthcare Administrative Databases

CMIP6VisR — 1.0.0

Visualization and Analysis of Coupled Model Intercomparison Project, Phase-6 (CMIP6) Hydroclimatic Data

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

cmpp — 0.0.2

Direct Parametric Inference for the Cumulative Incidence Function in Competing Risks

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 — 1.4.1

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 — 4.0.3

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

cnd — 0.1.0

Create and Register Conditions

CNID — 2.1.1

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 — 3.4.1

Continuous Norming

CNprep — 2.2

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

CNPS — 1.0.0

Nonparametric Statistics

cnum — 0.1.5

Chinese Numerals Processing

CNVreg — 1.0

CNV-Profile Regression for Copy Number Variants Association Analysis with Penalized Regression

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 — 1.3

High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model

coarseDataTools — 0.7.2

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 — 4.6.0

Covariate Balance Tables and Plots

cobenrich — 1.0.1

Using Multiple Continuous Biomarkers for Patient Enrichment in Two-Stage Clinical Designs

cobiclust — 0.1.2

Biclustering via Latent Block Model Adapted to Overdispersed Count Data

cobs — 1.3-9

Constrained B-Splines (Sparse Matrix Based)

coca — 1.1.0

Cluster-of-Clusters Analysis

cocktailApp — 0.2.3

'shiny' App to Discover Cocktails

CoClust — 1.0-0

A Copula-Based Clustering Algorithm

coconots — 2.0.0

Convolution-Closed Models for Count Time Series

cocons — 0.1.4

Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

cocoon — 0.2.0

Extract, Format, and Print Statistical Output

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