All packages

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hapsim — 0.31

Haplotype Data Simulation

harbinger — 1.0.787

A Unified Time Series Event Detection Framework

hardhat — 1.4.0

Construct Modeling Packages

HardyWeinberg — 1.7.8

Statistical Tests and Graphics for Hardy-Weinberg Equilibrium

harmonicmeanp — 3.0.1

Harmonic Mean p-Values and Model Averaging by Mean Maximum Likelihood

harmonizer — 0.3.2

Harmonizing CN8 and PC8 Product Codes

harmony — 1.2.1

Fast, Sensitive, and Accurate Integration of Single Cell Data

harmonydata — 0.1.1

R Library for 'Harmony'

harrietr — 0.2.3

Wrangle Phylogenetic Distance Matrices and Other Utilities

harrypotter — 2.1.1

Palettes Generated from All "Harry Potter" Movies

Harvest.Tree — 1.1

Harvest the Classification Tree

hash — 2.2.6.3

Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries

hashids — 0.9.0

Generate Short Unique YouTube-Like IDs (Hashes) from Integers

hashr — 0.1.4

Hash R Objects to Integers Fast

Hassani.SACF — 2.0

Computing Lower Bound of Ljung-Box Test

Hassani.Silva — 1.0

A Test for Comparing the Predictive Accuracy of Two Sets of Forecasts

hasseDiagram — 0.2.0

Drawing Hasse Diagram

haven — 2.5.4

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

hawkes — 0.0-4

Hawkes process simulation and calibration toolkit

hawkesbow — 1.0.3

Estimation of Hawkes Processes from Binned Observations

HazardDiff — 0.1.0

Conditional Treatment Effect for Competing Risks

hazer — 1.1.1

Identifying Foggy and Cloudy Images by Quantifying Haziness

hbal — 1.2.12

Hierarchically Regularized Entropy Balancing

hbamr — 2.3.1

Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'

hBayesDM — 1.2.1

Hierarchical Bayesian Modeling of Decision-Making Tasks

hbbr — 1.1.2

Hierarchical Bayesian Benefit-Risk Assessment Using Discrete Choice Experiment

hbim — 1.1.2

Hill/Bliss Independence Model for Combination Vaccines

hbmem — 0.3-4

Hierarchical Bayesian Analysis of Recognition Memory

hbsae — 1.2

Hierarchical Bayesian Small Area Estimation

HBSTM — 1.0.2

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

HBV.IANIGLA — 0.2.6

Modular Hydrological Model

hcandersenr — 0.2.0

H.C. Andersens Fairy Tales

hcci — 1.1.0

Interval Estimation of Linear Models with Heteroskedasticity

HCD — 1.0

Hierarchical Community Detection by Recursive Partitioning

hce — 0.6.3

Design and Analysis of Hierarchical Composite Endpoints

hchinamap — 0.1.0

Mapping China and Its Provinces

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

hdar — 1.0.1

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

hdbayes — 0.1.1

Bayesian Analysis of Generalized Linear Models with Historical 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 — 0.0.6

Extensions for 'HDF5' R Interfaces

hdflex — 0.2.1

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 — 1.0.0

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 — 0.1.2

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')

HDTSA — 1.0.4

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 — 0.1.0

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

HealthCal — 0.1.1

Health Calculator

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