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r-hapim
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The package provides a set of functions whose aim is to propose 4 methods of QTL detection. HAPimLD is an interval-mapping method designed for unrelated individuals with no family information that makes use of linkage disequilibrium. HAPimLDL is an interval-mapping method for design of half-sib families. It combines linkage analysis and linkage disequilibrium. HaploMax is based on an analysis of variance with a dose haplotype effect. HaploMaxHS is based on an analysis of variance with a sire effect and a dose haplotype effect in half-sib family design. Fundings for the package development were provided to the LDLmapQTL project by the ANR GENANIMAL program and APIS-GENE.
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2025-04-22 |
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r-handyplots
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Several handy plots for quickly looking at the relationship between two numeric vectors of equal length. Quickly visualize scatter plots, residual plots, qq-plots, box plots, confidence intervals, and prediction intervals.
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2025-04-22 |
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r-handtill2001
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An S4 implementation of Eq. (3) and Eq. (7) by David J. Hand and Robert J. Till (2001) <DOI:10.1023/A:1010920819831>.
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2025-04-22 |
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r-hamlet
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Various functions and algorithms are provided here for solving optimal matching tasks in the context of preclinical cancer studies. Further, various helper and plotting functions are provided for unsupervised and supervised machine learning as well as longitudinal mixed-effects modeling of tumor growth response patterns.
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2025-04-22 |
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r-halfcircle
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There are growing concerns on flow data in diverse fields including trade, migration, knowledge diffusion, disease spread, and transportation. The package is an effective visual support to learn the pattern of flow which is called halfcircle diagram. The flow between two nodes placed on the center line of a circle is represented using a half circle drawn from the origin to the destination in a clockwise direction. Through changing the order of nodes, the halfcircle diagram enables users to examine the complex relationship between bidirectional flow and each potential determinants. Furthermore, the halfmeancenter function, which calculates (un) weighted mean center of half circles, makes the comparison easier.
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2025-04-22 |
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r-hail
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Read data from the City of Portland's 'HYDRA' <http://or.water.usgs.gov/precip/> rainfall datasets within R.
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2025-04-22 |
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r-hadoopstreaming
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Provides a framework for writing map/reduce scripts for use in Hadoop Streaming. Also facilitates operating on data in a streaming fashion, without Hadoop.
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2025-04-22 |
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r-hac
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Package provides the estimation of the structure and the parameters, sampling methods and structural plots of Hierarchical Archimedean Copulae (HAC).
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2025-04-22 |
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r-h2o4gpu
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Interface to 'H2O4GPU' <https://github.com/h2oai/h2o4gpu>, a collection of 'GPU' solvers for machine learning algorithms.
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2025-04-22 |
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r-h2o
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R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).
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2025-04-22 |
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r-gym
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OpenAI Gym is a open-source Python toolkit for developing and comparing reinforcement learning algorithms. This is a wrapper for the OpenAI Gym API, and enables access to an ever-growing variety of environments. For more details on OpenAI Gym, please see here: <https://github.com/openai/gym>. For more details on the OpenAI Gym API specification, please see here: <https://github.com/openai/gym-http-api>.
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2025-04-22 |
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r-gxm
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Quantifying and testing gene-by-measured-environment interaction in behavior genetic designs.
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2025-04-22 |
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r-gwsignif
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The correlations and linkage disequilibrium between tests can vary as a function of minor allele frequency thresholds used to filter variants, and also varies with different choices of test statistic for region-based tests. Appropriate genome-wide significance thresholds can be estimated empirically through permutation on only a small proportion of the whole genome.
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2025-04-22 |
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r-gwrpvr
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Computes the sample probability value (p-value) for the estimated coefficient from a standard genome-wide univariate regression. It computes the exact finite-sample p-value under the assumption that the measured phenotype (the dependent variable in the regression) has a known Bernoulli-normal mixture distribution. Finite-sample genome-wide regression p-values (Gwrpv) with a non-normally distributed phenotype (Gregory Connor and Michael O'Neill, bioRxiv 204727 <doi:10.1101/204727>).
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2025-04-22 |
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r-gwrm
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Statistical functions to fit, validate and describe a Generalized Waring Regression Model (GWRM).
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2025-04-22 |
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r-gwidgets2
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Re-implementation of the 'gWidgets' API. The API is defined in this package. A second, toolkit-specific package is required to use it. There are three in development: 'gWidgets2RGtk2', 'gWidgets2Qt', and 'gWidgets2tcltk'.
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2025-04-22 |
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r-gwidgets
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Provides a toolkit-independent API for building interactive GUIs. At least one of the 'gWidgetsXXX packages', such as gWidgetstcltk, needs to be installed. Some icons are on loan from the scigraphica project <http://scigraphica.sourceforge.net>.
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2025-04-22 |
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r-gwg
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Based on calculations of 758 women this package calculates positive predictive values (PPV) and negative predictive values (NPV) for inadequate and excessive gestational weight gain (GWG) for different prevalences for different BMI categories.
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2025-04-22 |
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r-gweram
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This package provides functions to calculate the significance threshold for controlling the type I error rate in mixed-model association mapping analyses.
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2025-04-22 |
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r-gvlma
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Methods from the paper: Pena, EA and Slate, EH, "Global Validation of Linear Model Assumptions," J. American Statistical Association, 101(473):341-354, 2006.
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2025-04-22 |
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r-gvcm.cat
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Generalized structured regression models with regularized categorical effects, categorical effect modifiers, continuous effects and smooth effects.
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2025-04-22 |
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r-gvc
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Several tools for Global Value Chain ('GVC') analysis are implemented.
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2025-04-22 |
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r-gvarx
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Perform the estimation and inference of stationary Global Vector Autoregression model (GVAR) of Pesaran, Schuermann and Weiner (2004) <DOI:10.1198/073500104000000019> and Dees, di Mauro, Pesaran and Smith (2007) <DOI:10.1002/jae.932>.
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2025-04-22 |
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r-gustave
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Provides a toolkit for analytical variance estimation in survey sampling. Apart from the implementation of standard variance estimators, its main feature is to help the sampling expert produce easy-to-use variance estimation "wrappers", where systematic operations (linearization, domain estimation) are handled in a consistent and transparent way.
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2025-04-22 |
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r-gumbel
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Provides probability functions (cumulative distribution and density functions), simulation function (Gumbel copula multivariate simulation) and estimation functions (Maximum Likelihood Estimation, Inference For Margins, Moment Based Estimation and Canonical Maximum Likelihood).
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2025-04-22 |
