development

Create Cartograms with R

Turn Place Names into Map Data

Crafting Print-Ready Maps and Layered Visualizations

Thematic Cartography

Casablanca Stock Exchange Data

Selection, Reverse-Engineering and Prediction in Cascade Networks

Experimental Data of Cascade Experiments in Genomics

A Cascade Select Input for 'Shiny'

Covariate Assisted Spectral Clustering on Ratios of Eigenvectors

Casualty Actuarial Society Individual Claim Simulator

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

Case Based Reasoning

Case-Cohort Cox Survival Inference

Identify Similar Cases for Qualitative Case Studies

Stratified Evaluation of Subgroup Classification Accuracy

Play Casino Games

Detection of Statistically Significant Combinations of SNPs in Association Mapping

'CASMI'-Based Functions

Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks

Compute Scagnostics on Pairs of Numeric Variables in a Data Set

'caret' Applications for Spatial-Temporal Models

Efficient Phylogenetics on Large Trees

Analysis and Imputation of Categorical-Variable Datasets with Missing Values

Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

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

Access the 'Spark Catalog' API via 'sparklyr'

Interface to the API 'Sede Electronica Del Catastro'

Covariate-Adjusted Tensor Classification in High-Dimensions

Test, Identify, Select and Mutate Categorical or Continuous Values

Categorical Data Analysis Program Package

Categorical Data

Datasets for Categorical Data Analysis by Agresti

Fishery Stock Assessment by Catch Dynamics Models

High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation

Category Variable Encodings

Encoders for Categorical Variables

Categorical Data Analysis

Community Assembly by Traits: Individuals and Beyond

Simulate IRT-Based Computerized Adaptive Tests

Formal Psychological Models of Categorization and Learning

Case-Control and TDT Meta-Analysis Package

Heatmap for Categorical Data using 'plotly'

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

Optimal Categorisation of Continuous Variables in Prediction Models

Generation of IRT Response Patterns under Computerized Adaptive Testing

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

Cohort Platform Trial Simulation

Create Catseye Plots Illustrating the Normal Distribution of the Means

Binary and Categorical Image Similarity Index

Computerized Adaptive Testing for Survey Research

The Cochran-Armitage Trend Test

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

Powerful Test for Survival Data under Non-Proportional Hazards

Robust Principal Component Analysis Using the Cauchy Distribution

Trait Evolution on Phylogenies Using the Cauchy Process

Fast, Easy, and Visual Bayesian Inference

Causal Batch Effects

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

Example Data Sets for Causal Inference Textbooks

Tools for Causal Discovery on Observational Data

Estimating Causal Dose Response Functions

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

Estimation of Causal Effects with Generalized Additive Models

Matching on Generalized Propensity Scores with Continuous Exposures

Drawing Causal Hypergraphs

Inferring Causal Effects using Bayesian Structural Time-Series Models

MBSTS Models for Causal Inference and Forecasting

Causally Interpretable Meta-Analysis

Causal Inference Modeling for Estimation of Causal Effects

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

Optimal Transport Weights for Causal Inference

Causal Effect for Population Attributable Fractions (PAF)

Make, Update, and Query Binary Causal Models

Selection Bias Approach to Sensitivity Analysis for Causal Effects

Semiparametric Least Squares Inference for Causal Effects

Estimation Methods for Causal Inference Based on Inverse Probability Weighting

Calculate Correlations and Estimate Causality