Utilities for Interacting with the 'CTX' APIs

Cox Model for Case-Cohort Data with Stratified
Subcohort-Selection
R package cchs version 0.4.5

Transforming and Harmonizing CCHS Variables

Computational Test for Conditional Independence

Cross-Covariance Isolate Detect: a New Change-Point Method for
Estimating Dynamic Functional Connectivity
R package ccid version 1.2.0

Convex Clustering Methods and Clustering Indexes

Minimization of the Convex Clustering Loss Function

Implementation of Case-Control Optimal Matching

Estimation of Mean Costs in Censored Data

Significance Tests for Canonical Correlation Analysis (CCA)
R package CCP version 1.2

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

Canonical Correlations and Tests of Independence

Tools for the Continuous Convolution Trick in Nonparametric
Estimation

Perform Weighted Linear Regression for Calibration Curve

Cognitive Diagnostic Computerized Adaptive Testing

Conditional Distance Correlation Based Feature Screening and
Conditional Independence Inference
R package cdcsis version 2.0.5

Interface to the California Data Exchange Center (CDEC)

Confidence Interval Estimation via CDF Inversion

Quantile Regression for Random Variables on the Unit Interval

Downscaling and Bias Correction via Non-Parametric CDF-Transform
R package CDFt version 1.2

Causal Decomposition of Group Disparities

Hidden Markov Models for Multivariate Panel Data

Words and Gestures to Words and Sentences Score Conversion

Cause-Deleted Life Expectancy Improvement Procedure

Tools to Download and Work with USDA Cropscape Data

Useful Tools for Cognitive Diagnosis Modeling

Constrained Sampling in Paid Research Studies

'Copernicus Data Space Ecosystem' API Wrapper

Cuddy-Della Valle Index for Capturing the Instability in Time
Series Data
R package CDVI version 0.1.0

Sampling from Conditional C- and D-Vine Copulas
R package CDVineCopulaConditional version 0.1.1

Extract Data from the Canadian Elite Basketball League

CRISPR Screen and Gene Expression Differential Analysis

CEEMDAN Decomposition Based Hybrid Machine Learning Models