|
r-hnp
|
public |
Generates (half-)normal plots with simulation envelopes using different diagnostics from a range of different fitted models. A few example datasets are included.
|
2025-04-22 |
|
r-hmvd
|
public |
Perform association test between a group of variable and the outcome.
|
2025-04-22 |
|
r-hmstimer
|
public |
Tracks elapsed clock time using a 'hms()' scalar (inherits from 'difftime()' with seconds as the unit).
|
2025-04-22 |
|
r-hmr
|
public |
Statistical analysis of static chamber concentration data for trace gas flux estimation.
|
2025-04-22 |
|
r-hmmpa
|
public |
Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditional cut-off point method. Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014)<doi:10.1371/journal.pone.0114089>.
|
2025-04-22 |
|
r-hmmcont
|
public |
The package includes the functions designed to analyse continuous observations processes with the Hidden Markov Model approach. They include Baum-Welch and Viterbi algorithms and additional visualisation functions. The observations are assumed to have Gaussian distribution and to be weakly stationary processes. The package was created for analyses of financial time series, but can also be applied to any continuous observations processes.
|
2025-04-22 |
|
r-hmm
|
public |
Easy to use library to setup, apply and make inference with discrete time and discrete space Hidden Markov Models
|
2025-04-22 |
|
r-hmeasure
|
public |
Classification performance metrics that are derived from the ROC curve of a classifier. The package includes the H-measure performance metric as described in <http://link.springer.com/article/10.1007/s10994-009-5119-5>, which computes the minimum total misclassification cost, integrating over any uncertainty about the relative misclassification costs, as per a user-defined prior. It also offers a one-stop-shop for other scalar metrics of performance, including sensitivity, specificity and many others, and also offers plotting tools for ROC curves and related statistics.
|
2025-04-22 |
|
r-hmdhfdplus
|
public |
Utilities for reading data from the Human Mortality Database (<https://www.mortality.org>), Human Fertility Database (<https://www.humanfertility.org>), and similar databases from the web or locally into an R session as data.frame objects. These are the two most widely used sources of demographic data to study basic demographic change, trends, and develop new demographic methods. Other supported databases at this time include the Human Fertility Collection (<http://www.fertilitydata.org/>), The Japanese Mortality Database (<http://www.ipss.go.jp/p-toukei/JMD>), and the Canadian Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments and data are standardized.
|
2025-04-22 |
|
r-hkex.api
|
public |
A set of functions helps to retrieve data from HKEX (Hong Kong Stock Exchange), see <https://www.hkex.com.hk/> for more information. In addition, a function generates insert SQL statements from a dataframe.
|
2025-04-22 |
|
r-hkclustering
|
public |
Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering approach.
|
2025-04-22 |
|
r-hk80
|
public |
This is a collection of functions for converting coordinates between WGS84UTM, WGS84GEO, HK80UTM, HK80GEO and HK1980GRID Coordinate Systems used in Hong Kong SAR, based on the algorithms described in Explanatory Notes on Geodetic Datums in Hong Kong by Survey and Mapping Office Lands Department, Hong Kong Government (1995).
|
2025-04-22 |
|
r-hiv.lifetables
|
public |
The functions in this package produce a complete set of mortality rates as a function of a combination of HIV prevalence and either life expectancy at birth (e0), child mortality (5q0), or child mortality with adult mortality (45q15)
|
2025-04-22 |
|
r-hive
|
public |
Hadoop InteractiVE facilitates distributed computing via the MapReduce paradigm through R and Hadoop. An easy to use interface to Hadoop, the Hadoop Distributed File System (HDFS), and Hadoop Streaming is provided.
|
2025-04-22 |
|
r-historydata
|
public |
These sample data sets are intended for historians learning R. They include population, institutional, religious, military, and prosopographical data suitable for mapping, quantitative analysis, and network analysis.
|
2025-04-22 |
|
r-histogram
|
public |
Automatic construction of regular and irregular histograms as described in Rozenholc/Mildenberger/Gather (2010).
|
2025-04-22 |
|
r-histdata
|
public |
The 'HistData' package provides a collection of small data sets that are interesting and important in the history of statistics and data visualization. The goal of the package is to make these available, both for instructional use and for historical research. Some of these present interesting challenges for graphics or analysis in R.
|
2025-04-22 |
|
r-hindexcalculator
|
public |
H(x) is the h-index for the past x years. Here, the h(x) of a scientist/department/etc. can be calculated using the exported excel file from a Web of Science citation report of a search. Also calculated is the year of first publication, total number of publications, and sum of times cited for the specified period. Therefore, for h-10: the date of first publication, total number of publications, and sum of times cited in the past 10 years are calculated. Note: the excel file has to first be saved in a .csv format.
|
2025-04-22 |
|
r-hilmm
|
public |
Estimation of heritability with confidence intervals in linear mixed models.
|
2025-04-22 |
|
r-higrad
|
public |
Implements the Hierarchical Incremental GRAdient Descent (HiGrad) algorithm, a first-order algorithm for finding the minimizer of a function in online learning just like stochastic gradient descent (SGD). In addition, this method attaches a confidence interval to assess the uncertainty of its predictions. See Su and Zhu (2018) <arXiv:1802.04876> for details.
|
2025-04-22 |
|
r-highttest
|
public |
Implements the method developed by Cao and Kosorok (2011) for the significance analysis of thousands of features in high-dimensional biological studies. It is an asymptotically valid data-driven procedure to find critical values for rejection regions controlling the k-familywise error rate, false discovery rate, and the tail probability of false discovery proportion.
|
2025-04-22 |
|
r-highscreen
|
public |
Can be used to carry out extraction, normalization, quality control (QC), candidate hits identification and visualization for plate based assays, in drug discovery. This project was funded by the Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract No. HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West Nile Virus and Influenza", awarded to Duke University and lead by Drs. Herman Staats and Soman Abraham.
|
2025-04-22 |
|
r-highmean
|
public |
Provides various tests for comparing high-dimensional mean vectors in two sample populations.
|
2025-04-22 |
|
r-highlighthtml
|
public |
A tool to format R markdown with CSS ids for HTML output. The tool may be most helpful for those using markdown to create reproducible documents. The biggest limitations in formatting is the knowledge of CSS by the document authors.
|
2025-04-22 |
|
r-hiest
|
public |
Uses likelihood to estimate ancestry and heterozygosity. Evaluates simple hybrid classifications (parentals, F1, F2, backcrosses). Estimates genomic clines.
|
2025-04-22 |
