All packages

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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 — 1.1.1

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

CCAMLRGIS — 4.0.8

Antarctic Spatial Data Manipulation

ccaPP — 0.3.3

(Robust) Canonical Correlation Analysis via Projection Pursuit

cccd — 1.6

Class Cover Catch Digraphs

cccm — 0.1.0

Crossed Classification Credibility Model

cccp — 0.3-1

Cone Constrained Convex Problems

cccrm — 2.2.2

Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures

ccda — 1.1.1

Combined Cluster and Discriminant Analysis

ccdR — 1.0.0

Utilities for Interacting with the 'CCTE' APIs

cchs — 0.4.4

Cox Model for Case-Cohort Data with Stratified Subcohort-Selection

cchsflow — 2.1.0

Transforming and Harmonizing CCHS Variables

ccid — 1.2.0

Cross-Covariance Isolate Detect: a New Change-Point Method for Estimating Dynamic Functional Connectivity

cclust — 0.6-26

Convex Clustering Methods and Clustering Indexes

CCM — 1.2

Correlation Classification Method

ccmEstimator — 1.0.0

Comparative Causal Mediation Estimation

ccml — 1.4.0

Consensus Clustering for Different Sample Coverage Data

ccmm — 1.0

Compositional Mediation Model

CCMMR — 0.2

Minimization of the Convex Clustering Loss Function

ccmReportR — 0.1.0

Wraps 'CCM' with Utility Functions

ccoptimalmatch — 0.1.0

Implementation of Case-Control Optimal Matching

ccostr — 0.1.0

Estimation of Mean Costs in Censored Data

CCP — 1.2

Significance Tests for Canonical Correlation Analysis (CCA)

ccpsyc — 0.2.6

Methods for Cross-Cultural Psychology

ccRemover — 1.0.4

Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data

ccrs — 0.1.0

Correct and Cluster Response Style Biased Data

ccrtm — 0.1.6

Coupled Chain Radiative Transfer Models

ccss — 1.0

Cluster Circular Systematic Sampling

ccTensor — 1.0.2

CUR/CX Tensor Decomposition

cctools — 0.1.2

Tools for the Continuous Convolution Trick in Nonparametric Estimation

CCTpack — 1.5.2

Consensus Analysis, Model-Based Clustering, and Cultural Consensus Theory Applications

CCWeights — 0.1.6

Perform Weighted Linear Regression for Calibration Curve

cd — 0.1.0

CD Data for Entity Resolution

cdata — 1.2.1

Fluid Data Transformations

CDatanet — 2.1.3

Modeling Count Data with Peer Effects

cdcatR — 1.0.6

Cognitive Diagnostic Computerized Adaptive Testing

CDCPLACES — 1.1.5

Access the 'CDC PLACES' API

cdcsis — 2.0.3

Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference

cder — 0.3-1

Interface to the California Data Exchange Center (CDEC)

cdfquantreg — 1.3.1-2

Quantile Regression for Random Variables on the Unit Interval

CDFt — 1.2

Downscaling and Bias Correction via Non-Parametric CDF-Transform

cdgd — 0.3.5

Causal Decomposition of Group Disparities

cdlei — 1.0

Cause-Deleted Life Expectancy Improvement Procedure

cdlTools — 1.13

Tools to Download and Work with USDA Cropscape Data

CDM — 8.2-6

Cognitive Diagnosis Modeling

CDMConnector — 1.3.2

Connect to an OMOP Common Data Model

cdmTools — 1.0.5

Useful Tools for Cognitive Diagnosis Modeling

cdom — 0.1.0

R Functions to Model CDOM Spectra

cdparcoord — 1.0.1

Top Frequency-Based Parallel Coordinates

cdrcR — 0.1.1

Load 'CDRC' Data

cds — 1.0.3

Constrained Dual Scaling for Detecting Response Styles

CDSE — 0.2.0

'Copernicus Data Space Ecosystem' API Wrapper

CDSS — 0.2-0

Course-Dependent Skill Structures

CDVI — 0.1.0

Cuddy-Della Valle Index for Capturing the Instability in Time Series Data

CDVineCopulaConditional — 0.1.1

Sampling from Conditional C- and D-Vine Copulas

CEC — 0.11.1

Cross-Entropy Clustering

CEDA — 1.1.1

CRISPR Screen and Gene Expression Differential Analysis

CEEMDANML — 0.1.0

CEEMDAN Decomposition Based Hybrid Machine Learning Models

ceg — 0.1.0

Chain Event Graph

CEGO — 2.4.3

Combinatorial Efficient Global Optimization

celestial — 1.4.6

Collection of Common Astronomical Conversion Routines and Functions

cellKey — 1.0.2

Consistent Perturbation of Statistical Frequency- And Magnitude Tables

cellOrigins — 0.1.3

Finds RNASeq Source Tissues Using In Situ Hybridisation Data

cellpypes — 0.3.0

Cell Type Pipes for Single-Cell RNA Sequencing Data

cellranger — 1.1.0

Translate Spreadsheet Cell Ranges to Rows and Columns

celltrackR — 1.2.0

Motion Trajectory Analysis

cellVolumeDist — 1.4

Functions to Fit Cell Volume Distributions and Thereby Estimate Cell Growth Rates and Division Times

cellWise — 2.5.3

Analyzing Data with Cellwise Outliers

cem — 1.1.31

Coarsened Exact Matching

cemco — 0.2

Fit 'CemCO' Algorithm

CenBAR — 0.1.1

Broken Adaptive Ridge AFT Model with Censored Data

cencrne — 1.0.0

Consistent Estimation of the Number of Communities via Regularized Network Embedding

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