All packages

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carSurv — 1.0.0

Correlation-Adjusted Regression Survival (CARS) Scores

cartograflow — 1.0.5

Filtering Matrix for Flow Mapping

cartogram — 0.3.0

Create Cartograms with R

cartogramR — 1.0-10

Continuous Cartogram

cartographer — 0.2.1

Turn Place Names into Map Data

cartography — 3.1.4

Thematic Cartography

casabourse — 2.0.0

Casablanca Stock Exchange Data

Cascade — 2.1

Selection, Reverse-Engineering and Prediction in Cascade Networks

CascadeData — 1.4

Experimental Data of Cascade Experiments in Genomics

cascadeSelect — 1.1.0

A Cascade Select Input for 'Shiny'

CASCORE — 0.1.2

Covariate Assisted Spectral Clustering on Ratios of Eigenvectors

cascsim — 0.4

Casualty Actuarial Society Individual Claim Simulator

casebase — 0.10.4

Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression

CaseBasedReasoning — 0.3

Case Based Reasoning

CaseCohortCoxSurvival — 0.0.34

Case-Cohort Cox Survival Inference

caseMatch — 1.1.0

Identify Similar Cases for Qualitative Case Studies

cases — 0.1.1

Stratified Evaluation of Subgroup Classification Accuracy

casino — 0.1.0

Play Casino Games

CASMAP — 0.6.1

Detection of Statistically Significant Combinations of SNPs in Association Mapping

CASMI — 1.2.2

'CASMI'-Based Functions

cassandRa — 0.1.0

Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks

cassowaryr — 2.0.0

Compute Scagnostics on Pairs of Numeric Variables in a Data Set

CAST — 0.9.0

'caret' Applications for Spatial-Temporal Models

castor — 1.8.0

Efficient Phylogenetics on Large Trees

cat — 0.0-9

Analysis and Imputation of Categorical-Variable Datasets with Missing Values

cat2cat — 0.4.7

Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

cata — 0.1.0.5

Analysis of Check-All-that-Apply (CATA) Data

catalog — 0.1.1

Access the 'Spark Catalog' API via 'sparklyr'

CatastRo — 0.3.0

Interface to the API 'Sede Electronica Del Catastro'

catch — 1.0.1

Covariate-Adjusted Tensor Classification in High-Dimensions

catcont — 0.5.0

Test, Identify, Select and Mutate Categorical or Continuous Values

catdap — 1.3.7

Categorical Data Analysis Program Package

catdata — 1.2.4

Categorical Data

CatDataAnalysis — 0.1-5

Datasets for Categorical Data Analysis by Agresti

CatDyn — 1.1-1

Fishery Stock Assessment by Catch Dynamics Models

cate — 1.1.1

High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation

categoryEncodings — 1.4.3

Category Variable Encodings

CatEncoders — 0.1.1

Encoders for Categorical Variables

catfun — 0.1.4

Categorical Data Analysis

cati — 0.99.4

Community Assembly by Traits: Individuals and Beyond

catIrt — 0.5.1

Simulate IRT-Based Computerized Adaptive Tests

catlearn — 1.0

Formal Psychological Models of Categorization and Learning

catmap — 1.6.4

Case-Control and TDT Meta-Analysis Package

catmaply — 0.9.4

Heatmap for Categorical Data using 'plotly'

caTools — 1.18.2

Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc

CatPredi — 1.3

Optimal Categorisation of Continuous Variables in Prediction Models

catR — 3.17

Generation of IRT Response Patterns under Computerized Adaptive Testing

CatReg — 2.0.3

Solution Paths for Linear and Logistic Regression Models with Categorical Predictors, with SCOPE Penalty

cats — 1.0.2

Cohort Platform Trial Simulation

catseyes — 0.2.5

Create Catseye Plots Illustrating the Normal Distribution of the Means

catsim — 0.2.3

Binary and Categorical Image Similarity Index

catSurv — 1.5.0

Computerized Adaptive Testing for Survey Research

CATT — 2.0

The Cochran-Armitage Trend Test

CATTexact — 0.1.1

Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test

CauchyCP — 0.1.1

Powerful Test for Survival Data under Non-Proportional Hazards

cauchypca — 1.3

Robust Principal Component Analysis Using the Cauchy Distribution

cauphy — 1.0.2

Trait Evolution on Phylogenies Using the Cauchy Process

causact — 0.5.4

Fast, Easy, and Visual Bayesian Inference

causal.decomp — 0.1.0

Causal Decomposition Analysis

causalBatch — 1.2.0

Causal Batch Effects

causalCmprsk — 2.0.0

Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks

causaldata — 0.1.3

Example Data Sets for Causal Inference Textbooks

causalDisco — 0.9.1

Tools for Causal Discovery on Observational Data

causaldrf — 0.4.2

Estimating Causal Dose Response Functions

causaleffect — 1.3.15

Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models

CausalGAM — 0.1-4

Estimation of Causal Effects with Generalized Additive Models

CausalGPS — 0.4.1

Matching on Generalized Propensity Scores with Continuous Exposures

causalHyperGraph — 0.1.0

Drawing Causal Hypergraphs

CausalImpact — 1.3.0

Inferring Causal Effects using Bayesian Structural Time-Series Models

CausalMBSTS — 0.1.1

MBSTS Models for Causal Inference and Forecasting

CausalMetaR — 0.1.1

Causally Interpretable Meta-Analysis

CausalModels — 0.2.0

Causal Inference Modeling for Estimation of Causal Effects

causaloptim — 0.9.8

An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects

causalOT — 1.0.2

Optimal Transport Weights for Causal Inference

causalPAF — 1.2.5

Causal Effect for Population Attributable Fractions (PAF)

CausalQueries — 1.0.2

Make, Update, and Query Binary Causal Models

causalsens — 0.1.3

Selection Bias Approach to Sensitivity Analysis for Causal Effects

causalSLSE — 0.3-1

Semiparametric Least Squares Inference for Causal Effects

causalweight — 1.1.0

Estimation Methods for Causal Inference Based on Inverse Probability Weighting

CausCor — 0.1.3

Calculate Correlations and Estimate Causality

CautiousLearning — 1.0.1

Control Charts with Guaranteed In-Control Performance and Cautious Parameters Learning

CAvariants — 6.0

Correspondence Analysis Variants

caviarpd — 0.3.9

Cluster Analysis via Random Partition Distributions

CB2 — 1.3.4

CRISPR Pooled Screen Analysis using Beta-Binomial Test

cba — 0.2-23

Clustering for Business Analytics

cbanalysis — 0.2.0

Coffee Break Descriptive Analysis

cbass — 0.1

Classification -- Bayesian Adaptive Smoothing Splines

CBCgrps — 2.8.2

Compare Baseline Characteristics Between Groups

cbcTools — 0.5.0

Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R

cbinom — 1.6

Continuous Analog of a Binomial Distribution

cbioportalR — 1.1.0

Browse and Query Clinical and Genomic Data from cBioPortal

cbl — 0.1.3

Causal Discovery under a Confounder Blanket

CBnetworkMA — 0.1.0

Contrast-Based Bayesian Network Meta Analysis

CBPS — 0.23

Covariate Balancing Propensity Score

cbq — 0.2.0.3

Conditional Binary Quantile Models

cbsodataR — 1.0.1

Statistics Netherlands (CBS) Open Data API Client

CBSr — 1.0.5

Fits Cubic Bezier Spline Functions to Intertemporal and Risky Choice Data

CBT — 1.0

Confidence Bound Target Algorithm

CC — 1.0

Control Charts

CCA — 1.2.2

Canonical Correlation Analysis

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