All packages

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hcidata — 0.1.0

HCI Datasets

hclust1d — 0.1.1

Hierarchical Clustering of Univariate (1d) Data

hclusteasy — 0.1.0

Determining Hierarchical Clustering Easily

HCmodelSets — 1.1.3

Regression with a Large Number of Potential Explanatory Variables

HCR — 0.1.1

Causal Discovery from Discrete Data using Hidden Compact Representation

HCT — 0.1.3

Calculates Significance Criteria and Power for a Single Arm Trial

HCTDesign — 0.7.2

Group Sequential Design for Historical Control Trial with Survival Outcome

HCTR — 0.1.1

Higher Criticism Tuned Regression

hctrial — 0.1.0

Using Historical Controls for Designing Phase II Clinical Trials

hda — 0.2-14

Heteroscedastic Discriminant Analysis

HDANOVA — 0.8.1

High-Dimensional Analysis of Variance

hdar — 1.0.4

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

hdbayes — 0.1.1

Bayesian Analysis of Generalized Linear Models with Historical Data

hdbcp — 1.0.0

Bayesian Change Point Detection for High-Dimensional Data

hdbinseg — 1.0.2

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

hdbm — 0.9.0

High Dimensional Bayesian Mediation Analysis

hdbma — 1.0

Bayesian Mediation Analysis with High-Dimensional Data

HDBRR — 1.1.4

High Dimensional Bayesian Ridge Regression without MCMC

hdcate — 0.1.0

Estimation of Conditional Average Treatment Effects with High-Dimensional Data

HDCD — 1.1

High-Dimensional Changepoint Detection

HDCI — 1.0-2

High Dimensional Confidence Interval Based on Lasso and Bootstrap

HDclassif — 2.2.1

High Dimensional Supervised Classification and Clustering

HDclust — 1.0.4

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

HDcpDetect — 0.1.0

Detect Change Points in Means of High Dimensional Data

hdcuremodels — 0.0.1

Penalized Mixture Cure Models for High-Dimensional Data

HDCurves — 0.1.2

Hierarchical Derivative Curve Estimation

hdd — 0.1.1

Easy Manipulation of Out of Memory Data Sets

HDDesign — 1.1

Sample Size Calculation for High Dimensional Classification Study

hddplot — 0.59-2

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

hdf5r — 1.3.11

Interface to the 'HDF5' Binary Data Format

hdf5r.Extra — 0.1.0

Extensions for 'HDF5' R Interfaces

hdflex — 0.3.0

High-Dimensional Aggregate Density Forecasts

hdfqlr — 0.6-2

Interface to 'HDFql' API

HDGLM — 0.1

Tests for High Dimensional Generalized Linear Models

hdi — 0.1-9

High-Dimensional Inference

hdImpute — 0.2.1

A Batch Process for High Dimensional Imputation

HDInterval — 0.2.4

Highest (Posterior) Density Intervals

HDiR — 1.1.3

Directional Highest Density Regions

hdiVAR — 1.0.2

Statistical Inference for Noisy Vector Autoregression

HDJM — 0.1.0

Penalized High-Dimensional Joint Model

HDLSSkST — 2.1.0

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

hdm — 0.3.2

High-Dimensional Metrics

HDMAADMM — 0.0.1

ADMM for High-Dimensional Mediation Models

hdme — 0.6.0

High-Dimensional Regression with Measurement Error

hdmed — 1.0.1

Methods for Mediation Analysis with High-Dimensional Mediators

HDMFA — 0.1.1

High-Dimensional Matrix Factor Analysis

HDMT — 1.0.5

A Multiple Testing Procedure for High-Dimensional Mediation Hypotheses

hdnom — 6.0.4

Benchmarking and Visualization Toolkit for Penalized Cox Models

HDNRA — 2.0.1

High-Dimensional Location Testing with Normal-Reference Approaches

HDOMDesign — 1.0-1

High-Dimensional Orthogonal Maximin Distance Designs

HDoutliers — 1.0.4

Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers

hdpca — 1.1.5

Principal Component Analysis in High-Dimensional Data

hdpGLM — 1.0.3

Hierarchical Dirichlet Process Generalized Linear Models

hdrcde — 3.4

Highest Density Regions and Conditional Density Estimation

HDRFA — 0.1.5

High-Dimensional Robust Factor Analysis

hds — 0.8.1

Hazard Discrimination Summary

HDShOP — 0.1.5

High-Dimensional Shrinkage Optimal Portfolios

HDSinRdata — 0.1.3

Data for the 'Mastering Health Data Science Using R' Online Textbook

HDSpatialScan — 1.0.4

Multivariate and Functional Spatial Scan Statistics

HDStIM — 0.1.0

High Dimensional Stimulation Immune Mapping ('HDStIM')

hdthreshold — 1.0.0

Inference on Many Jumps in Nonparametric Panel Regression Models

HDTSA — 1.0.5

High Dimensional Time Series Analysis Tools

HDtweedie — 1.2

The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD Algorithm

HDXBoxeR — 0.0.2

Analysis of Hydrogen-Deuterium Exchange Mass-Spectrometry Data

headliner — 0.0.3

Compose Sentences to Describe Comparisons

healthatlas — 0.1.1

Explore and Import 'Metopio' Health Atlas Data and Spatial Layers

HealthCal — 0.1.1

Health Calculator

healthcare.antitrust — 0.1.4

Healthcare Antitrust Analysis

healthdb — 0.3.1

Working with Healthcare Databases

healthequal — 1.0.1

Compute Summary Measures of Health Inequality

healthfinance — 0.1.0

Financial Projections and Planning for Health Care Practices

healthyAddress — 0.4.5

Convert Addresses to Standard Inputs

healthyR — 0.2.2

Hospital Data Analysis Workflow Tools

healthyR.ai — 0.1.0

The Machine Learning and AI Modeling Companion to 'healthyR'

healthyR.data — 1.2.0

Data Only Package to 'healthyR'

healthyR.ts — 0.3.1

The Time Series Modeling Companion to 'healthyR'

healthyverse — 1.1.0

Easily Install and Load the 'healthyverse'

heapsofpapers — 0.1.0

Easily Download Heaps of PDF and CSV Files

heatex — 1.0

Heat exchange calculations during physical activity.

heatmap3 — 1.1.9

An Improved Heatmap Package

heatmapFit — 2.0.4

Fit Statistic for Binary Dependent Variable Models

heatmapFlex — 0.1.2

Tools to Generate Flexible Heatmaps

heatmaply — 1.5.0

Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'

heatwaveR — 0.4.6

Detect Heatwaves and Cold-Spells

heck — 0.1.3

Highly Performant String Case Converter

HeckmanEM — 0.2-1

Fit Normal, Student-t or Contaminated Normal Heckman Selection Models

heckmanGE — 1.0.0

Estimation and Inference for Heckman Selection Models with Cluster-Robust Variance

HEDA — 0.1.5

'Hydropeaking Events Detection Algorithm'

heddlr — 0.6.0

Dynamic R Markdown Document Generation

hedgedrf — 0.0.1

An Implementation of the Hedged Random Forest Algorithm

hedgehog — 0.1

Property-Based Testing

heemod — 1.0.2

Markov Models for Health Economic Evaluations

heimdall — 1.0.717

Drift Adaptable Models

heims — 0.4.0

Decode and Validate HEIMS Data from Department of Education, Australia

heiscore — 0.1.4

Score and Plot the Healthy Eating Index from NHANES Data

helixvis — 1.0.1

Visualize Alpha-Helical Peptide Sequences

HellCor — 1.3

The Hellinger Correlation

hellno — 0.0.1

Providing 'stringsAsFactors=FALSE' Variants of 'data.frame()' and 'as.data.frame()'

helloJavaWorld — 0.0-9

Hello Java World

hellorust — 1.2.2

Minimal Examples of Using Rust Code in R

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