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r-ivpanel
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public |
Fit the instrumental panel data models: the fixed effects, random effects and between models.
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2023-06-16 |
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r-isdals
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Provides datasets for Introduction to Statistical Data Analysis for the Life Sciences
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2023-06-16 |
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r-irtdemo
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Includes a collection of shiny applications to demonstrate or to explore fundamental item response theory (IRT) concepts such as estimation, scoring, and multidimensional IRT models.
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2023-06-16 |
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r-ipdmeta
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This package provides functions to estimate an IPD linear mixed effects model for a continuous outcome and any categorical covariate from study summary statistics. There are also functions for estimating the power of a treatment-covariate interaction test in an individual patient data meta-analysis from aggregate data.
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2023-06-16 |
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r-invgamma
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Light weight implementation of the standard distribution functions for the inverse gamma distribution, wrapping those for the gamma distribution in the stats package.
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2023-06-16 |
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r-investr
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Functions to facilitate inverse estimation (e.g., calibration) in linear, generalized linear, nonlinear, and (linear) mixed-effects models. A generic function is also provided for plotting fitted regression models with or without confidence/prediction bands that may be of use to the general user.
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2023-06-16 |
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r-interpol
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A package for numerical encoding as well as for linear and non-linear interpolation of amino acid sequences.
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2023-06-16 |
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r-interfaceqpcr
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Graphical User Interface allowing to determine the concentration in the sample in CFU per mL or in number of copies per mL provided to qPCR results after with or without PMA treatment. This package is simply to use because no knowledge in R commands is necessary. A graphic represents the standard curve, and a table containing the result for each sample is created.
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2023-06-16 |
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r-igraphinshiny
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Using 'shiny' to demo 'igraph' package makes learning graph theory easy and fun.
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2023-06-16 |
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r-iatscore
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This minimalist package is designed to quickly score raw data outputted from an Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) <doi:10.1037/0022-3514.74.6.1464>. IAT scores are calculated as specified by Greenwald, Nosek, and Banaji (2003) <doi:10.1037/0022-3514.85.2.197>. Outputted values can be interpreted as effect sizes. The input function consists of three arguments. First, indicate the name of the dataset to be analyzed. This is the only required input. Second, indicate the number of trials in your entire IAT (the default is set to 219, which is typical for most IATs). Last, indicate whether congruent trials (e.g., flowers and pleasant) or incongruent trials (e.g., guns and pleasant) were presented first for this participant (the default is set to congruent). The script will tell you how long it took to run the code, the effect size for the participant, and whether that participant should be excluded based on the criteria outlined by Greenwald et al. (2003). Data files should consist of six columns organized in order as follows: Block (0-6), trial (0-19 for training blocks, 0-39 for test blocks), category (dependent on your IAT), the type of item within that category (dependent on your IAT), a dummy variable indicating whether the participant was correct or incorrect on that trial (0=correct, 1=incorrect), and the participant’s reaction time (in milliseconds). Three sample datasets are included in this package (labeled 'IAT', 'TooFastIAT', and 'BriefIAT') to practice with.
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2023-06-16 |
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r-hsaur3
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Functions, data sets, analyses and examples from the third edition of the book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<http://www.crcpress.com/product/isbn/9781482204582>'.
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2023-06-16 |
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r-howmany
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When testing multiple hypotheses simultaneously, this package provides functionality to calculate a lower bound for the number of correct rejections (as a function of the number of rejected hypotheses), which holds simultaneously -with high probability- for all possible number of rejections. As a special case, a lower bound for the total number of false null hypotheses can be inferred. Dependent test statistics can be handled for multiple tests of associations. For independent test statistics, it is sufficient to provide a list of p-values.
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2023-06-16 |
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r-hmeasure
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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.
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2023-06-16 |
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r-highmean
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Provides various tests for comparing high-dimensional mean vectors in two sample populations.
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2023-06-16 |
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r-highlighthtml
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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.
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2023-06-16 |
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r-hgsl
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Estimation of high-dimensional multi-response regression with heterogeneous noises under Heterogeneous group square-root Lasso penalty. For details see: Ren, Z., Kang, Y., Fan, Y. and Lv, J. (2018)<arXiv:1606.03803>.
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2023-06-16 |
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r-hero
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Data and data-generating functions related to the paper Fast Bivariate Penalized Splines by Xiao et al. (2012) <doi:10.1111/rssb.12007>. A hero is a specific type of sandwich. Dictionary.com (2018) <https://www.dictionary.com> describes a hero as: a large sandwich, usually consisting of a small loaf of bread or long roll cut in half lengthwise and containing a variety of ingredients, as meat, cheese, lettuce, and tomatoes.
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2023-06-16 |
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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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2023-06-16 |
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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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2023-06-16 |
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r-haploreconstruct
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Reconstruction of founder haplotype blocks from time series data.
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2023-06-16 |
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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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2023-06-16 |
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r-grs.test
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Computational resources for test proposed by Gibbons, Ross, Shanken (1989)<DOI:10.2307/1913625>. It also has the functions for the power analysis and the choice of the optimal level of significance. The optimal level is determined by minimizing the expected loss from hypothesis testing.
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2023-06-16 |
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r-greenclust
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Implements a method of iteratively collapsing the rows of a contingency table, two at a time, by selecting the pair of categories whose combination yields a new table with the smallest loss of chi-squared, as described by Greenacre, M.J. (1988) <doi:10.1007/BF01901670>. The result is compatible with the class of object returned by the 'stats' package's hclust() function and can be used similarly (plotted as a dendrogram, cut, etc.). Additional functions are provided for automatic cutting and diagnostic plotting.
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2023-06-16 |
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r-grapher
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A multi-platform user interface for drawing highly customizable graphs in R. It aims to be a valuable help to quickly draw publishable graphs without any knowledge of R commands. Six kinds of graph are available: histogram, box-and-whisker plot, bar plot, pie chart, curve and scatter plot.
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2023-06-16 |
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r-grade
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Provides functions for matching student-answers to teacher answers for a variety of data types.
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2023-06-16 |
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r-gmmboost
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Likelihood-based Boosting for Generalized mixed models
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2023-06-16 |
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r-gmediation
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Current version of this R package conducts mediation path analysis for multiple mediators in two stages.
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2023-06-16 |
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r-globaloptions
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It provides more configurations on the option values such as validation and filtering on the values, making options invisible or private.
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2023-06-16 |
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r-glmulti
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Automated model selection and model-averaging. Provides a wrapper for glm and other functions, automatically generating all possible models (under constraints set by the user) with the specified response and explanatory variables, and finding the best models in terms of some Information Criterion (AIC, AICc or BIC). Can handle very large numbers of candidate models. Features a Genetic Algorithm to find the best models when an exhaustive screening of the candidates is not feasible.
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2023-06-16 |
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r-glaciersmbm
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A fully distributed glacier surface mass balance model developed for the simulation of accumulation and ablation processes on debris-free as well as debris-covered glaciers.
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2023-06-16 |
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r-gk2011
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Implementations of the treatment effect estimators for hybrid (self-selection) experiments, as developed by Brian J. Gaines and James H. Kuklinski, (2011), "Experimental Estimation of Heterogeneous Treatment Effects Related to Self-Selection," American Journal of Political Science 55(3): 724-736.
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2023-06-16 |
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r-gethr
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Full access to the Geth command line interface for running full Ethereum nodes. With gethr it is possible to carry out different tasks such as mine ether, transfer funds, create contacts, explore block history, etc. The package also provides access to all the available APIs. The officially exposed by Ethereum blockchains (eth, shh, web3, net) and some provided directly by Geth (admin, debug, miner, personal, txpool). For more details on Ethereum, access the project website <https://www.ethereum.org/>. For more details on the Geth client, access the project website <https://github.com/ethereum/go-ethereum/wiki/geth/>.
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2023-06-16 |
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r-geoscale
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Function for adding the geological timescale to bivariate plots.
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2023-06-16 |
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r-geneticsubsetter
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Finds subsets of sets of genotypes with a high Heterozygosity, and Mean of Transformed Kinships (MTK), measures that can indicate a subset would be beneficial for rare-trait discovery and genome-wide association scanning, respectively.
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2023-06-16 |
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r-generator
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Allows users to quickly and easily generate fake data containing Personally Identifiable Information (PII) through convenience functions.
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2023-06-16 |
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r-gdns
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To address the problem of insecurity of 'UDP'-based 'DNS' requests, 'Google Public DNS' offers 'DNS' resolution over an encrypted 'HTTPS' connection. 'DNS-over-HTTPS' greatly enhances privacy and security between a client and a recursive resolver, and complements 'DNSSEC' to provide end-to-end authenticated 'DNS' lookups. Functions that enable querying individual requests that bulk requests that return detailed responses and bulk requests are both provided. Support for reverse lookups is also provided. See <https://developers.google.com/speed/public-dns/docs/dns-over-https> for more information.
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2023-06-16 |
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r-laterality
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Calculates and plots Handedness index (HI), absolute HI, mean HI and z-score which are commonly used indexes for the study of hand preference (laterality) in non-human primates.
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2023-06-16 |
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r-kzs
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A spatial smoothing algorithm based on convolutions of finite rectangular kernels that provides sharp resolution in the presence of high levels of noise.
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2023-06-16 |
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r-kmsurv
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Data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer.
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2023-06-16 |
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r-kappasize
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Contains basic tools for sample size estimation in studies of interobserver/interrater agreement (reliability). Includes functions for both the power-based and confidence interval-based methods, with binary or multinomial outcomes and two through six raters.
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2023-06-16 |
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r-josae
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Implementation of some unit and area level EBLUP estimators as well as the estimators of their MSE also under heteroscedasticity. The package further documents the publications Breidenbach and Astrup (2012) <DOI:10.1007/s10342-012-0596-7>, Breidenbach et al. (2016) <DOI:10.1016/j.rse.2015.07.026> and Breidenbach et al. (2018 in press). The vignette further explains the use of the implemented functions.
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2023-06-16 |
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r-interactiontest
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Implements the procedures suggested in Esarey and Sumner (2017) <http://justinesarey.com/interaction-overconfidence.pdf> for controlling the false discovery rate when constructing marginal effects plots for models with interaction terms.
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2023-06-16 |
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r-integratebs
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Integrated B-spline function.
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2023-06-16 |
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r-intccr
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Semiparametric regression models on the cumulative incidence function with interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350>. The main function fits the proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
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2023-06-16 |
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r-inspectchangepoint
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Provides a data-driven projection-based method for estimating changepoints in high-dimensional time series. Multiple changepoints are estimated using a (wild) binary segmentation scheme.
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2023-06-16 |
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r-infotrad
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Estimates the probability of informed trading (PIN) initially introduced by Easley et. al. (1996) <doi:10.1111/j.1540-6261.1996.tb04074.x> . Contribution of the package is that it uses likelihood factorizations of Easley et. al. (2010) <doi:10.1017/S0022109010000074> (EHO factorization) and Lin and Ke (2011) <doi:10.1016/j.finmar.2011.03.001> (LK factorization). Moreover, the package uses different estimation algorithms. Specifically, the grid-search algorithm proposed by Yan and Zhang (2012) <doi:10.1016/j.jbankfin.2011.08.003> , hierarchical agglomerative clustering approach proposed by Gan et. al. (2015) <doi:10.1080/14697688.2015.1023336> and later extended by Ersan and Alici (2016) <doi:10.1016/j.intfin.2016.04.001> .
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2023-06-16 |
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r-impimp
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Imputing blockwise missing data by imprecise imputation, featuring a domain-based, variable-wise, and case-wise strategy. Furthermore, the estimation of lower and upper bounds for unconditional and conditional probabilities based on the obtained imprecise data is implemented. Additionally, two utility functions are supplied: one to check whether variables in a data set contain set-valued observations; and another to merge two already imprecisely imputed data. The method is described in a technical report by Endres, Fink and Augustin (2018, <doi:10.5282/ubm/epub.42423>).
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2023-06-16 |
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r-icd.data
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Data from the United States Center for Medicare and Medicaid Services (CMS) is included in this package. There are ICD-9 and ICD-10 diagnostic and procedure codes, and lists of the chapter and sub-chapter headings and the ranges of ICD codes they encompass. There are also two sample datasets. These data are used by the 'icd' package for finding comorbidities.
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2023-06-16 |
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r-hydra
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Calculate an optimal embedding of a set of data points into low-dimensional hyperbolic space. This uses the strain-minimizing hyperbolic embedding of Keller-Ressel and Nargang (2019), see <arXiv:1903.08977>.
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2023-06-16 |
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r-hweintrinsic
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General (multi-allelic) Hardy-Weinberg equilibrium problem from an objective Bayesian testing standpoint. This aim is achieved through the identification of a class of priors specifically designed for this testing problem. A class of intrinsic priors under the full model is considered. This class is indexed by a tuning quantity, the training sample size, as discussed in Consonni, Moreno and Venturini (2010). These priors are objective, satisfy Savage's continuity condition and have proved to behave extremely well for many statistical testing problems.
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2023-06-16 |
