Interface to H2O4GPU <https://github.com/h2oai/h2o4gpu>, a collection of GPU solvers for machine learning algorithms.
Identification of recombination events, haplotype reconstruction, sire imputation and pedigree reconstruction using half-sib family SNP data.
Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise.
Various reliability analysis methods for rare event inference (computing failure probability and quantile from model/function outputs).
This package provides a set of easy-to-use functions for computing the Multidimensional Poverty Index (MPI).
Calculating the net reclassification improvement (NRI) for risk prediction models with time to event and binary data.
Image analysis techniques for positron emission tomography (PET) that form part of the Rigorous Analytics bundle.
Density, distribution function, quantile function and random generation for the family of power and reversal power distributions.
This package provides functions for creating color palettes, visualizing palettes, modifying colors, and assigning colors for plotting.
Retrieve protein information from the UniProtKB REST API (see <https://www.uniprot.org/help/api_queries>).
An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
This package provides data frames that hold certain columns and attributes persistently for data processing in dplyr'.
This package provides a new reduced-rank LDA method which works for high dimensional multi-class data.
Simple and quick method of exporting the most often used survival analysis results to an Excel sheet.
Proposes a torch implementation of Graph Net architecture allowing different options for message passing and feature embedding.
Extensions to lattice', providing new high-level functions, methods for existing functions, panel functions, and a theme.
Pseudo-random number generation of 17 univariate distributions proposed by Demirtas. (2005) <DOI:10.22237/jmasm/1114907220>.
This package provides tools for fitting and assessing Bayesian multilevel regression models that account for unmeasured confounders.
This package provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). This package supports RDF by implementing an R interface to the Redland RDF C library. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Rcpp reimplementation of the the Bayesian non-parametric Dirichlet Process Regression model for penalized regression first published in Zeng and Zhou (2017) <doi:10.1038/s41467-017-00470-2>. A full Bayesian version is implemented with Gibbs sampling, as well as a faster but less accurate variational Bayes approximation.
This package provides access to the Ravelry API <https://www.ravelry.com/groups/ravelry-api>. An R wrapper for pulling data from Ravelry.com', an organizational tool for crocheters, knitters, spinners, and weavers. You can retrieve pattern, yarn, author, and shop information by search or by a given id.
This package provides a simple rounding function. The default round() function in R uses the IEC 60559 standard and therefore it rounds 0.5 to 0 and rounds -1.5 to -2. The roundx() function accounts for this and helps to round 0.5 up to 1.
Designed for longitudinal data analysis using Hidden Markov Models (HMMs). Tailored for applications in healthcare, social sciences, and economics, the main emphasis of this package is on regularization techniques for fitting HMMs. Additionally, it provides an implementation for fitting HMMs without regularization, referencing Zucchini et al. (2017, ISBN:9781315372488).
This package implements the rank-ordered logit (RO-logit) model for stratified analysis of continuous outcomes introduced by Tan et al. (2017) <doi:10.1177/0962280217747309>. Model diagnostics based on the heuristic residuals and estimates in linear scales are available from the package, and outcomes with ties are supported.