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r-rwars
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public |
Provides functions to retrieve and reformat data from the 'Star Wars' API (SWAPI) <https://swapi.co/>.
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2023-06-16 |
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r-rhpcc
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rHpcc is an R package providing an Interface between R and HPCC.Familiarity with ECL (Enterprise Control Language) is a must to use this package.HPCC is a massive parallel-processing computing platform that solves Big Data problems.ECL is the Enterprise Control Language designed specifically for huge data projects using the HPCC platform.Its extreme scalability comes from a design that allows you to leverage every query you create for re-use in subsequent queries as needed. To do this, ECL takes a dictionary approach to building queries wherein each ECL definition defines an Attribute. Each previously defined Attribute can then be used in succeeding ECL Attribute definitions as the language extends itself as you use it.
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2023-06-16 |
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r-rhealthdatagov
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An R interface for the HealthData.gov data API. For each data resource, you can filter results (server-side) to select subsets of data.
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2023-06-16 |
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r-rbitcoinchartsapi
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An R package for the BitCoinCharts.com API.
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2023-06-16 |
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r-radanalysis
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It has tools for normalization of rank abundance distributions (RAD) to a desired number of ranks using MaxRank Normalization method. RADs are commonly used in biology/ecology and mathematically equivalent to complementary cumulative distributions (CCDFs) which are used in physics, linguistics and sociology and more generally in data science.
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2023-06-16 |
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r-seer2r
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read and write SEER*STAT data files
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2023-06-16 |
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r-seedwater
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Bringing together tools for modeling drying and soaking (rehydration) kinetics of seeds. This package contains several widely used predictive models (e.g.: da Silva et al., 2018). As these are nonlinear, the functions are interactive-based and easy-to-use. Least squares estimates are obtained with just a few visual adjustments of the initial parameter values. Reference: da Silva AR et al. (2018) <doi:10.2134/agronj2017.07.0373>.
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2023-06-16 |
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r-sample.size
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Computes the required sample size using the optimal designs with multiple constraints proposed in Mayo et al.(2010). This optimal method is designed for two-arm, randomized phase II clinical trials, and the required sample size can be optimized either using fixed or flexible randomization allocation ratios.
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2023-06-16 |
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r-robrsvd
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This package provides the function to calculate SVD, regularized SVD, robust SVD and robust regularized SVD method. The robust SVD methods use alternating iteratively reweighted least squares methods. The regularized SVD uses generalized cross validation to choose the optimal smoothing parameters.
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2023-06-16 |
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r-rmdshower
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'R' 'Markdown' format for 'shower' presentations, see <https://github.com/shower/shower>.
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2023-06-16 |
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r-ridgefusion
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This package implements ridge fusion methodology for inverse covariance matrix estimation for use in quadratic discriminant analysis. The package also contains function for model based clustering using ridge fusion for inverse matrix estimation, as well as tuning parameter selection functions. We have also implemented QDA using joint inverse covariance estimation.
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2023-06-16 |
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r-rgooddata
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Export raw reports from 'GoodData' business intelligence platform (see <http://www.gooddata.com> for more information).
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2023-06-16 |
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r-rfgls
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RFGLS uses a generalized least-squares method to perform single-marker association analysis, in datasets of nuclear families containing parents, twins, and/or adoptees
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2023-06-16 |
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r-reports
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Assists in writing reports and presentations by providing a frame work that brings together existing R, LaTeX/.docx and Pandoc tools. The package is designed to be used with RStudio, MiKTex/Tex Live/LibreOffice, knitr, knitcitations, Pandoc and pander. The user will want to download these free programs/packages to maximize the effectiveness of the reports package. Functions with two letter names are general text formatting functions for copying text from articles for inclusion as a citation.
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2023-06-16 |
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r-smithwilsonyieldcurve
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Constructs a yield curve by the Smith-Wilson method from a table of LIBOR and SWAP rates
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2023-06-16 |
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r-sigmanet
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Create interactive graph visualizations using 'Sigma.js' <http://sigmajs.org/>. This package is meant to be used in conjunction with 'igraph', replacing the (somewhat underwhelming) plotting features of the package. The idea is to quickly render graphs, regardless of their size, in a way that allows for easy, iterative modification of aesthetics. Because 'Sigma.js' is a 'javascript' library, the visualizations are inherently interactive and are well suited for integration with 'Shiny' apps. While there are several 'htmlwidgets' focused on network visualization, they tend to underperform on medium to large sized graphs. 'Sigma.js' was designed for larger network visualizations and this package aims to make those strengths available to 'R' users.
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2023-06-16 |
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r-sdef
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Performs two tests to evaluate if the experiments are associated and returns a list of interesting features common to all the experiments.
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2023-06-16 |
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r-scoreggum
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public |
Estimate GGUM Person Parameters Using Pre-Calibrated Item Parameters and Binary or Graded Disagree-Agree Responses
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2023-06-16 |
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r-saspect
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public |
A statistical method for significant analysis of comparative proteomics based on LC-MS/MS Experiments
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2023-06-16 |
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r-sabarsi
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Implements a new approach 'SABARSI' described in Wang et al., "A Statistical Approach of Background Removal and Spectrum Identification for SERS Data" (Unpublished). Sabarsi forms a pipeline for SERS (surface-enhanced Raman scattering) data analysis including background removal, signal detection, signal integration, and cross-experiment comparison. The background removal algorithm, the very first step of SERS data analysis, takes into account the change of background shape.
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2023-06-16 |
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r-ryoudaotranslate
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You can use this package to translate thousands of words. The Youdao translation open API is applied in this package. But, it just translates less than 1000 English words into Chinese.
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2023-06-16 |
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r-rweblogo
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RWebLogo is a wrapper for the WebLogo python package that allows generating of customised sequence logos. Sequence logos are graphical representations of the sequence conservation of nucleotides (in a strand of DNA/RNA) or amino acids (in protein sequences). Each logo consists of stacks of symbols, one stack for each position in the sequence. The overall height of the stack indicates the sequence conservation at that position, while the height of symbols within the stack indicates the relative frequency of each amino or nucleic acid at that position. In general, a sequence logo provides a richer and more precise description of, for example, a binding site, than would a consensus sequence.
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2023-06-16 |
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r-reweight
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Adjusts the weights of survey respondents so that the marginal distributions of certain variables fit more closely to those from a more precise source (e.g. Census Bureau's data).
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2023-06-16 |
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r-relaxnet
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Extends the glmnet package with "relaxation", done by running glmnet once on the entire predictor matrix, then again on each different subset of variables from along the regularization path. Relaxation may lead to improved prediction accuracy for truly sparse data generating models, as well as fewer false positives (i.e. fewer noncontributing predictors in the final model). Penalty may be lasso (alpha = 1) or elastic net (0 < alpha < 1). For this version, family may be "gaussian" or "binomial" only. Takes advantage of fast FORTRAN code from the glmnet package.
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2023-06-16 |
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r-rel
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Derives point estimates with confidence intervals for Bennett et als S, Cohen's kappa, Conger's kappa, Fleiss' kappa, Gwet's AC, intraclass correlation coefficients, Krippendorff's alpha, Scott's pi, the standard error of measurement, and weighted kappa.
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2023-06-16 |
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r-regpro
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Tools are provided for (1) nonparametric regression (kernel, local linear), (2) semiparametric regression (single index, additive models), and (3) quantile regression (linear, kernel).
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2023-06-16 |
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r-qqperm
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Provides users the necessary utility functions to generate permutation-based QQ plots and also estimate inflation factor based on the empirical NULL distribution. While it has general utility, it is particularly helpful when the skewness of the Fisher's Exact test in sparse data situations with imbalanced case-control sample sizes renders the reliance on the uniform chi-square expected distribution inappropriate.
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2023-06-16 |
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r-shutterstock
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Access 'Shutterstock' API from R. The 'Shutterstock' API presents access to search, view, license and download the media and information from the 'Shutterstock's library <https://api-reference.shutterstock.com/>.
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2023-06-16 |
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r-sgmcmc
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Provides functions that performs popular stochastic gradient Markov chain Monte Carlo (SGMCMC) methods on user specified models. The required gradients are automatically calculated using 'TensorFlow' <https://www.tensorflow.org/>, an efficient library for numerical computation. This means only the log likelihood and log prior functions need to be specified. The methods implemented include stochastic gradient Langevin dynamics (SGLD), stochastic gradient Hamiltonian Monte Carlo (SGHMC), stochastic gradient Nose-Hoover thermostat (SGNHT) and their respective control variate versions for increased efficiency. References: M. Welling, Y. W. Teh (2011) <http://www.icml-2011.org/papers/398_icmlpaper.pdf>; T. Chen, E. B. Fox, C. E. Guestrin (2014) <arXiv:1402.4102>; N. Ding, Y. Fang, R. Babbush, C. Chen, R. D. Skeel, H. Neven (2014) <https://papers.nips.cc/paper/5592-bayesian-sampling-using-stochastic-gradient-thermostats>; J. Baker, P. Fearnhead, E. B. Fox, C. Nemeth (2017) <arXiv:1706.05439>. For more details see <doi:10.18637/jss.v091.i03>.
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2023-06-16 |
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r-setpath
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Tests gene expression data from a biological pathway for biologically meaningful differences in the eigenstructure between two classes. Specifically, it tests the null hypothesis that the two classes' leading eigenvalues and sums of eigenvalues are equal. A pathway's leading eigenvalue arguably represents the total variability due to variability in pathway activity, while the sum of all its eigenvalues represents the variability due to pathway activity and to other, unregulated causes. Implementation of the method described in Danaher (2015), "Covariance-based analyses of biological pathways".
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2023-06-16 |
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r-sempls
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Fits structural equation models using partial least squares (PLS). The PLS approach is referred to as 'soft-modeling' technique requiring no distributional assumptions on the observed data.
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2023-06-16 |
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r-scenario
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Uses the neural gas algorithm to construct a scenario tree for use in multi-stage stochastic programming. The primary input is a set of initial scenarios or realizations of a disturbance. The scenario tree nodal structure must be predefined using a scenario tree nodal partition matrix.
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2023-06-16 |
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r-rndtexexams
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Using as input a 'LaTeX' file with a multiple choice exam, this package will produce several versions with randomized contents of the same exam. Functions for grading are also available.
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2023-06-16 |
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r-rnaseqwrapper
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This package is designed to streamline several of the common steps for RNA-seq analysis, including differential expression and variant discovery. For the development build, or to contribute changes to this package, please see our repository at https://bitbucket.org/petersmp/rnaseqwrapper/
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2023-06-16 |
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r-rld
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Analyzes data from repeated low-dose challenge experiments and provide vaccine efficacy estimates. In addition, this package can provide guidance to design repeated low-dose challenge studies.
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2023-06-16 |
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r-rfreak
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An R interface to a modified version of the Free Evolutionary Algorithm Kit FrEAK. FrEAK is a toolkit written in Java to design and analyze evolutionary algorithms. Both the R interface and an extended version of FrEAK are contained in the RFreak package. For more information on FrEAK see http://sourceforge.net/projects/freak427/.
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2023-06-16 |
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r-rela
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Item analysis with alpha standard error and principal axis factoring for continuous variable scales (with plots).
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2023-06-16 |
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r-reinforcelearn
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Implements reinforcement learning environments and algorithms as described in Sutton & Barto (1998, ISBN:0262193981). The Q-Learning algorithm can be used with function approximation, eligibility traces (Singh & Sutton (1996) <doi:10.1007/BF00114726>) and experience replay (Mnih et al. (2013) <arXiv:1312.5602>).
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2023-06-16 |
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r-rdidq
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The package has many function that helps to perform various quality check on the data.It basically provides many function that helps in performing Extrapolative data analysis.
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2023-06-16 |
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r-rclean
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To create clearer, more concise code provides this toolbox helps coders to isolate the essential parts of a script that produces a chosen result, such as an object, tables and figures written to disk and even warnings and errors. This work was funded by US National Science Foundation grant SSI-1450277 for applications of End-to-End Data Provenance.
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2023-06-16 |
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r-rcelldata
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Example dataset for 'Rcell' package. Contains images and cell data object.
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2023-06-16 |
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r-rahrefs
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Enables downloading detailed reports from <https://ahrefs.com> about backlinks from pointing to website, provides authentication with an API key as well as ordering, grouping and filtering functionalities.
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2023-06-16 |
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r-radjust
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Calculates adjusted p-values for the null hypothesis of no replicability across studies for two study designs: (i) a primary and follow-up study, where the features in the follow-up study are selected from the primary study, as described in Bogomolov and Heller (2013) <doi:10.1080/01621459.2013.829002> and Heller, Bogomolov and Benjamini (2014) <doi:10.1073/pnas.1314814111>; (ii) two independent studies, where the features for replicability are first selected in each study separately, as described in Bogomolov and Heller (2018) <doi:10.1093/biomet/asy029>. The latter design is the one encountered in a typical meta-analysis of two studies, but the inference is for replicability rather than for identifying the features that are non-null in at least one study.
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2023-06-16 |
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r-pvsr
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The pvsR package facilitates data retrieval from Project Vote Smart's rich online data base on US politics via the Project Vote Smart application programming interface (PVS API). The functions in this package cover most PVS API classes and methods and return the requested data in a data frame.
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2023-06-16 |
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r-optinterim
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Optimal two and three stage designs monitoring time-to-event endpoints at a specified timepoint
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2023-06-16 |
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r-olscurve
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Provides tools for more easily organizing and plotting individual ordinary least square (OLS) growth curve trajectories.
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2023-06-16 |
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r-npmvcp
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Nonparametric Multivariate Change Point Model
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2023-06-16 |
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r-nontargetdata
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Data sets for isotope pattern grouping of LC-HRMS peaks with package nontarget. Based on a vast set of unique PubChem molecular formulas, quantized (a) m/z, (b) m/z differences, (c) intensity ratios and (d) marker centroids of simulated centroid pairs are listed for different instrument resolutions.
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2023-06-16 |
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r-pca4ts
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To seek for a contemporaneous linear transformation for a multivariate time series such that the transformed series is segmented into several lower-dimensional subseries, and those subseries are uncorrelated with each other both contemporaneously and serially.
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2023-06-16 |
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r-openmpcontroller
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The OpenMPController package provides a function omp_set_num_threads() to set the number of OpenMP threads to be used. This may be useful, for example, when linking against a vendor optimised BLAS/LAPACK library (e.g. the AMD Core Math Library), since the defaults used by those libraries may not be highly performant.
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2023-06-16 |
