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r-hdinterval
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A generic function and a set of methods to calculate highest density intervals for a variety of classes of objects which can specify a probability density distribution, including MCMC output, fitted density objects, and functions.
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2025-04-22 |
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r-hdfqlr
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Provides an interface to 'HDFql' <http://www.hdfql.com/> and helper functions for reading data from and writing data to 'HDF5' files. 'HDFql' provides a high-level language for managing 'HDF5' data that is platform independent. For more information, see the reference manual <http://www.hdfql.com/resources/HDFqlReferenceManual.pdf>.
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2025-04-22 |
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r-hdci
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Fits regression models on high dimensional data to estimate coefficients and use bootstrap method to obtain confidence intervals. Choices for regression models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial ridge.
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2025-04-22 |
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r-hda
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Functions to perform dimensionality reduction for classification if the covariance matrices of the classes are unequal.
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2025-04-22 |
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r-hcr
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This code provides a method to fit the hidden compact representation model as well as to identify the causal direction on discrete data. We implement an effective solution to recover the above hidden compact representation under the likelihood framework. Please see the Causal Discovery from Discrete Data using Hidden Compact Representation from NIPS 2018 by Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang and Zhifeng Hao (2018) <https://nips.cc/Conferences/2018/Schedule?showEvent=11274> for a description of some of our methods.
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2025-04-22 |
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r-hcp
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Estimation of parameters in 3-segment (i.e. 2 change-point) regression models with heteroscedastic variances is provided based on both likelihood and hybrid Bayesian approaches, with and without continuity constraints at the change points.
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2025-04-22 |
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r-hchinamap
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By binding R functions and the 'Highmaps' <https://www.highcharts.com.cn/products/highmaps> chart library, 'hchinamap' package provides a simple way to map China and its provinces. The map of China drawn by this package contains complete Chinese territory, especially the Nine-dotted line, South Tibet, Hong Kong, Macao and Taiwan.
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2025-04-22 |
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r-hcci
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This package calculates the interval estimates for the parameters of linear models heteroscedastic regression using bootstrap - (Wild Bootstrap) and double bootstrap-t (Wild Bootstrap). It is also possible to calculate confidence intervals using the percentile bootstrap and percentile bootstrap double. It is possible to calculate consistent estimates of the covariance matrix of the parameters of linear regression models with heteroskedasticity of unknown form. The package also provides function to calculate consistently the covariance matrix of the parameters of linear models with heteroskedasticity of unknown form.
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2025-04-22 |
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r-hcc
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A new diagnostic check for model adequacy in regression and generalized linear models is implemented.
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2025-04-22 |
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r-hcandersenr
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Texts for H.C. Andersens fairy tales, ready for text analysis. Fairy tales in German, Danish, English, Spanish and French.
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2025-04-22 |
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r-hbstm
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This package fits Hierarchical Bayesian space-Time models for Gaussian data. Furthermore, its functions have been implemented for analysing the fitting qualities of those models.
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2025-04-22 |
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r-hbsae
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Functions to compute small area estimates based on a basic area or unit-level model. The model is fit using restricted maximum likelihood, or in a hierarchical Bayesian way. In the latter case numerical integration is used to average over the posterior density for the between-area variance. The output includes the model fit, small area estimates and corresponding MSEs, as well as some model selection measures. Additional functions provide means to compute aggregate estimates and MSEs, to minimally adjust the small area estimates to benchmarks at a higher aggregation level, and to graphically compare different sets of small area estimates.
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2025-04-22 |
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r-hbm
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A package for building hierarchical block matrices from association matrices and for performing multi-scale analysis. It specifically targets chromatin contact maps, generated from high-throughput chromosome conformation capture data, such as 5C and Hi-C, and provides methods for detecting movements and for computing chain hierarchy and region communicability across scales.
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2025-04-22 |
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r-hbim
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Calculate expected relative risk and proportion protected assuming normally distributed log10 transformed antibody dose for several component vaccine. Uses Hill models for each component which are combined under Bliss independence.
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2025-04-22 |
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r-hazus
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Damage Functions (DFs), also known as Vulnerability Functions, associate the physical damage to a building or a structure (and also its contents and inventory) from natural disasters to financial damage. The Federal Emergency Management Agency (FEMA) in USA developed several thousand DFs and these serve as a benchmark in natural catastrophe modeling, both in academia and industry. However, these DFs and their documentation are buried within the HAZUS software are not easily accessible for analysis and visualization. This package provides more than 1300 raw DFs used by FEMA's HAZUS software and also functionality to extract and visualize DFs specific to the flood hazard. The vignette included with this package demonstrates its use.
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2025-04-22 |
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r-hazer
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Provides a set of functions to estimate haziness of an image based on RGB bands. It returns a haze factor, varying from 0 to 1, a metric for fogginess and cloudiness. The package also presents additional functions to estimate brightness, darkness and contrast rasters of the RGB image. This package can be used for several applications such as inference of weather quality data and performing environmental studies from interpreting digital images.
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2025-04-22 |
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r-hashids
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An R port of the hashids library. hashids generates YouTube-like hashes from integers or vector of integers. Hashes generated from integers are relatively short, unique and non-seqential. hashids can be used to generate unique ids for URLs and hide database row numbers from the user. By default hashids will avoid generating common English cursewords by preventing certain letters being next to each other. hashids are not one-way: it is easy to encode an integer to a hashid and decode a hashid back into an integer.
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2025-04-22 |
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r-hash
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Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor. For objects of appreciable size, access using hashes outperforms native named lists and vectors.
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2025-04-22 |
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r-harvest.tree
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Aimed at applying the Harvest classification tree algorithm, modified algorithm of classic classification tree.The harvested tree has advantage of deleting redundant rules in trees, leading to a simplify and more efficient tree model.It was firstly used in drug discovery field, but it also performs well in other kinds of data, especially when the region of a class is disconnected. This package also improves the basic harvest classification tree algorithm by extending the field of data of algorithm to both continuous and categorical variables. To learn more about the harvest classification tree algorithm, you can go to http://www.stat.ubc.ca/Research/TechReports/techreports/220.pdf for more information.
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2025-04-22 |
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r-hartools
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The goal of 'HARtools' is to provide a simple set of functions to read/parse, write and visualise HTTP Archive ('HAR') files in R.
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2025-04-22 |
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r-harmonicregression
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Fits the first harmonics in a Fourier expansion to one or more time series. Trend elimination can be performed. Computed values include estimates of amplitudes and phases, as well as confidence intervals and p-values for the null hypothesis of Gaussian noise.
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2025-04-22 |
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r-happytime
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There are two interesting games in this package, one is 2048 games(for windows), using up and down to control the direction until there is a 2048 figure. And the other is 'what to eat today',preparing for people who choose difficulties, including most of the delicious Cantonese cuisine.
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2025-04-22 |
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r-haplotyper
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Function to identify haplotypes within QTL (Quantitative Trait Loci). One haplotype is a combination of SNP (Single Nucleotide Polymorphisms) within the QTL. This function groups together all individuals of a population with the same haplotype. Each group contains individual with the same allele in each SNP, whether or not missing data. Thus, haplotyper groups individuals, that to be imputed, have a non-zero probability of having the same alleles in the entire sequence of SNP's. Moreover, haplotyper calculates such probability from relative frequencies.
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2025-04-22 |
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r-haplosim
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Simulate haplotypes through meioses. Allows specification of population parameters.
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2025-04-22 |
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r-haploreconstruct
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Reconstruction of founder haplotype blocks from time series data.
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2025-04-22 |
