rPackages

Hatemi-J Cointegration Test with Two Unknown Regime Shifts

Visualize and Tabulate 'R' Package Dependencies

Import and Export 'SPSS', 'Stata' and 'SAS' Files

Hawkes process simulation and calibration toolkit

Estimation of Hawkes Processes from Binned Observations

Conditional Treatment Effect for Competing Risks

Identifying Foggy and Cloudy Images by Quantifying Haziness

Hierarchically Regularized Entropy Balancing

Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'

Hierarchical Bayesian Modeling of Decision-Making Tasks

Hierarchical Bayesian Benefit-Risk Assessment Using Discrete Choice Experiment

Hill/Bliss Independence Model for Combination Vaccines

Hierarchical Bayesian Analysis of Recognition Memory

Hierarchical Bayesian Small Area Estimation

Hierarchical Bayes Small Area Estimation Model using 'Stan'

Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data

H.C. Andersens Fairy Tales

Interval Estimation of Linear Models with Heteroskedasticity

Hierarchical Community Detection by Recursive Partitioning

Design and Analysis of Hierarchical Composite Endpoints

Mapping China and Its Provinces

HCI Datasets

Hierarchical Clustering of Univariate (1d) Data

Determining Hierarchical Clustering Easily

Hierarchical Cluster Analysis (Learning Didactically)

Regression with a Large Number of Potential Explanatory Variables

Hierarchical Conformal Prediction for Clustered Data with Missing Responses

Causal Discovery from Discrete Data using Hidden Compact Representation

Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence

Calculates Significance Criteria and Power for a Single Arm Trial

Group Sequential Design for Historical Control Trial with Survival Outcome

Higher Criticism Tuned Regression

Using Historical Controls for Designing Phase II Clinical Trials

Access and Work with HCUP Resources and Datasets

Heteroscedastic Discriminant Analysis

High-Dimensional Analysis of Variance

'REST' API Client for Accessing Data on 'WEkEO HDA V2'

Bayesian Analysis of Generalized Linear Models with Historical Data

Bayesian Change Point Detection for High-Dimensional Data

Change-Point Analysis of High-Dimensional Time Series via Binary Segmentation

High Dimensional Bayesian Mediation Analysis

Bayesian Mediation Analysis with High-Dimensional Data

High Dimensional Bayesian Ridge Regression without MCMC

Estimation of Conditional Average Treatment Effects with High-Dimensional Data

High-Dimensional Changepoint Detection

High Dimensional Confidence Interval Based on Lasso and Bootstrap

High Dimensional Supervised Classification and Clustering

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

Detect Change Points in Means of High Dimensional Data

High-Dimensional Cure Models

Hierarchical Derivative Curve Estimation

Easy Manipulation of Out of Memory Data Sets

Sample Size Calculation for High Dimensional Classification Study

Use Known Groups in High-Dimensional Data to Derive Scores for Plots

Interface to the 'HDF5' Binary Data Format

High-Dimensional Aggregate Density Forecasts

Interface to 'HDFql' API

High-Dimensional Functional Time Series Analysis

Tests for High Dimensional Generalized Linear Models

High-Dimensional Inference

A Batch Process for High Dimensional Imputation

Highest (Posterior) Density Intervals

Directional Highest Density Regions

Statistical Inference for Noisy Vector Autoregression

Penalized High-Dimensional Joint Model

Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests

High-Dimensional Metrics

ADMM for High-Dimensional Mediation Models

High-Dimensional Regression with Measurement Error

Methods for Mediation Analysis with High-Dimensional Mediators

High-Dimensional Matrix Factor Analysis

A Multiple Testing Procedure for High-Dimensional Mediation Hypotheses

Inference for High-Dimensional Mixture Transition Distribution Models

Benchmarking and Visualization Toolkit for Penalized Cox Models

High-Dimensional Location Testing with Normal-Reference Approaches

High-Dimensional Orthogonal Maximin Distance Designs

Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers