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r_test / packages

Package Name Access Summary Updated
r-reports public 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. 2025-04-22
r-reportroc public Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy), SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value). 2025-04-22
r-reportreg public Provides an easy way to report the results of regression analysis, including: 1. Proportional hazards regression from function 'coxph' of package 'survival'; 2. Conditional logistic regression from function 'clogit' of package 'survival'; 3. Ordered logistic regression from function 'polr' of package 'MASS'; 4. Binary logistic regression from function 'glm' of package 'stats'; 5. Linear regression from function 'lm' of package 'stats'; 6. Risk regression model for survival analysis with competing risks from function 'FGR' of package 'riskRegression'; 7. Multilevel model from function 'lme' of package 'nlme'. 2025-04-22
r-repogenerator public Generates a project and repo for easy initialization of a GitHub repo for R workshops. The repo includes a README with instructions to ensure that all users have the needed packages, an 'RStudio' project with the right directories and the proper data. The repo can then be used for hosting code taught during the workshop. 2025-04-22
r-repo public A data manager meant to avoid manual storage/retrieval of data to/from the file system. It builds one (or more) centralized repository where R objects are stored with rich annotations, including corresponding code chunks, and easily searched and retrieved. 2025-04-22
r-repec public Utilities for accessing RePEc (Research Papers in Economics) through a RESTful API. You can request a code and get detailed information at the following page: <https://ideas.repec.org/api.html>. 2025-04-22
r-repeatedhighdim public Global tests for expression data of high-dimensional sets of molecular features. 2025-04-22
r-rentrez public Provides an R interface to the NCBI's 'EUtils' API, allowing users to search databases like 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and 'PubMed' <https://www.ncbi.nlm.nih.gov/pubmed/>, process the results of those searches and pull data into their R sessions. 2025-04-22
r-renpow public Supports calculations and visualization for renewable power systems and the environment. Analysis and graphical tools for DC and AC circuits and their use in electric power systems. Analysis and graphical tools for thermodynamic cycles and heat engines, supporting efficiency calculations in coal-fired power plants, gas-fired power plants. Calculations of carbon emissions and atmospheric CO2 dynamics. Analysis of power flow and demand for the grid, as well as power models for microgrids and off-grid systems. Provides resource and power generation for hydro power, wind power, and solar power. 2025-04-22
r-remindr public Insert/extract text "reminders" into/from function source code comments or as the "comment" attribute of any object. The former can be handy in development as reminders of e.g. argument requirements, expected objects in the calling environment, required options settings, etc. The latter can be used to provide information of the object and as simple manual "tooltips" for users, among other things. 2025-04-22
r-relvalanalysis public Classes and functions for analyzing the performance of portfolios relative to a benchmark. 2025-04-22
r-relimp public Functions to facilitate inference on the relative importance of predictors in a linear or generalized linear model, and a couple of useful Tcl/Tk widgets. 2025-04-22
r-reliar public A collection of utilities for some reliability models/probability distributions. 2025-04-22
r-reliability public Functions for estimating parameters in software reliability models. Only infinite failure models are implemented so far. 2025-04-22
r-relen public This function computes the relative entropy (H) as an index for qualitative variation of a factor. 2025-04-22
r-relaxo public Relaxed Lasso is a generalisation of the Lasso shrinkage technique for linear regression. Both variable selection and parameter estimation is achieved by regular Lasso, yet both steps do not necessarily use the same penalty parameter. The results include all standard Lasso solutions but allow often for sparser models while having similar or even slightly better predictive performance if many predictor variables are present. The package depends on the LARS package. 2025-04-22
r-relaxnet public 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. 2025-04-22
r-relatable public Functions to safely map from a vector of keys to a vector of values, determine properties of a given relation, or ensure a relation conforms to a given type, such as many-to-many, one-to-many, injective, surjective, or bijective. Permits default return values for use similar to a vectorised switch statement, as well as safely handling large vectors, NAs, and duplicate mappings. 2025-04-22
r-relabeloadings public In confirmatory factor analysis (CFA), structural constraints typically ensure that the model is identified up to all possible reflections, i.e., column sign changes of the matrix of loadings. Such reflection invariance is problematic for Bayesian CFA when the reflection modes are not well separated in the posterior distribution. Imposing rotational constraints -- fixing some loadings to be zero or positive in order to pick a factor solution that corresponds to one reflection mode -- may not provide a satisfactory solution for Bayesian CFA. The function 'relabel' uses the relabeling algorithm of Erosheva and Curtis to correct for sign invariance in MCMC draws from CFA models. The MCMC draws should come from Bayesian CFA models that are fit without rotational constraints. 2025-04-22
r-rela public Item analysis with alpha standard error and principal axis factoring for continuous variable scales (with plots). 2025-04-22
r-rel public 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. 2025-04-22
r-reinstallr public Search R files for not installed packages and run install.packages. 2025-04-22
r-reinforcelearn public 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>). 2025-04-22
r-rehh.data public Contains example data for the 'rehh' package. 2025-04-22
r-regtest public Functions for unary and binary regression tests 2025-04-22

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