|
r-pmultinom
|
public |
Implements multinomial CDF (P(N1<=n1, ..., Nk<=nk)) and tail probabilities (P(N1>n1, ..., Nk>nk)), as well as probabilities with both constraints (P(l1<N1<=u1, ..., lk<Nk<=uk)). Uses a method suggested by Bruce Levin (1981) <doi:10.1214/aos/1176345593>.
|
2023-06-16 |
|
r-plsbiplot1
|
public |
Principal Component Analysis (PCA) biplots, Covariance monoplots and biplots, Partial Least Squares (PLS) biplots, Partial Least Squares for Generalized Linear Model (PLS-GLM) biplots, Sparse Partial Least Squares (SPLS) biplots and Sparse Partial Least Squares for Generalized Linear Model (SPLS-GLM) biplots.
|
2023-06-16 |
|
r-plrmodels
|
public |
This package provides statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of covariance are considered. Kernel-based methods, combined with ordinary least squares estimation, are used and time series errors are allowed. In addition, these techniques are also implemented for both parametric (linear) and nonparametric regression models.
|
2023-06-16 |
|
r-plotregionhighlighter
|
public |
Creates an envelope around a set of plotted points. The envelope is compact with a boundary that is continuous, smooth and convex. Each point is represented as a circle and the circles and connecting lines are the solution to the multiple pulley problem. This method can be used to highlight regions in a two-dimensional space.
|
2023-06-16 |
|
r-pksea
|
public |
A tool for inferring kinase activity changes from phosphoproteomics data. 'pKSEA' uses kinase-substrate prediction scores to weight observed changes in phosphopeptide abundance to calculate a phosphopeptide-level contribution score, then sums up these contribution scores by kinase to obtain a phosphoproteome-level kinase activity change score (KAC score). 'pKSEA' then assesses the significance of changes in predicted substrate abundances for each kinase using permutation testing. This results in a permutation score (pKSEA significance score) reflecting the likelihood of a similarly high or low KAC from random chance, which can then be interpreted in an analogous manner to an empirically calculated p-value. 'pKSEA' contains default databases of kinase-substrate predictions from 'NetworKIN' (NetworKINPred_db) <http://networkin.info> Horn, et. al (2014) <doi:10.1038/nmeth.2968> and of known kinase-substrate links from 'PhosphoSitePlus' (KSEAdb) <https://www.phosphosite.org/> Hornbeck PV, et. al (2015) <doi:10.1093/nar/gku1267>.
|
2023-06-16 |
|
r-pkgcond
|
public |
This provides utilities for creating classed error and warning conditions based on where the error originated.
|
2023-06-16 |
|
r-sac
|
public |
Semiparametric empirical likelihood ratio based test of changepoint with one-change or epidemic alternatives with data-based model diagnostic
|
2023-06-16 |
|
r-rxnat
|
public |
Allows communication with Extensible Neuroimaging Archive Toolkit <https://www.xnat.org>. 'Rxnat' is using the 'XNAT' REST API to perform data queries and download images.
|
2023-06-16 |
|
r-runiversal
|
public |
This package contains some functions for converting R objects to Java style variables and XML. Generated Java code is interpretable by dynamic Java libraries such as Beanshell. Calling R externally and handling the Java or XML output is an other way to call R from other languages without native interfaces. For a Java implementation of this approach visit http://www.mhsatman.com/rcaller.php and http://stdioe.blogspot.com/search/label/rcaller
|
2023-06-16 |
|
r-rtf
|
public |
A set of R functions to output Rich Text Format (RTF) files with high resolution tables and graphics that may be edited with a standard word processor such as Microsoft Word.
|
2023-06-16 |
|
r-rsvd
|
public |
Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided. The methods are discussed in detail by Erichson et al. (2016) <arXiv:1608.02148>.
|
2023-06-16 |
|
r-rpclr
|
public |
This package implements the R-PCLR (Random-Penalized Conditional Logistic Regression) algorithm for obtaining variable importance. The algorithm is applicable for the analysis of high dimensional data from matched case-control studies.
|
2023-06-16 |
|
r-roauth
|
public |
Provides an interface to the OAuth 1.0 specification allowing users to authenticate via OAuth to the server of their choice.
|
2023-06-16 |
|
r-rnd
|
public |
Extract the implied risk neutral density from options using various methods.
|
2023-06-16 |
|
r-rmtstat
|
public |
Functions for working with the Tracy-Widom laws and other distributions related to the eigenvalues of large Wishart matrices. The tables for computing the Tracy-Widom densities and distribution functions were computed by Momar Dieng's MATLAB package "RMLab" (formerly available on his homepage at http://math.arizona.edu/~momar/research.htm ). This package is part of a collaboration between Iain Johnstone, Zongming Ma, Patrick Perry, and Morteza Shahram. It will soon be replaced by a package with more accuracy and built-in support for relevant statistical tests.
|
2023-06-16 |
|
r-rmisc
|
public |
The Rmisc library contains many functions useful for data analysis and utility operations.
|
2023-06-16 |
|
r-rjdemetra
|
public |
Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
|
2023-06-16 |
|
r-rht
|
public |
This package offers functions to perform regularized Hotelling's T-square test for pathway or gene set analysis. The package is tailored for but not limited to proteomics data, in which sample sizes are often small, a large proportion of the data are missing and/or correlations may be present.
|
2023-06-16 |
|
r-rhnerm
|
public |
Performs the random heteroscedastic nested error regression model described in Kubokawa, Sugasawa, Ghosh and Chaudhuri (2016) <doi:10.5705/ss.202014.0070>.
|
2023-06-16 |
|
r-rgw
|
public |
Implementation of the affine-invariant method of Goodman & Weare (2010) <DOI:10.2140/camcos.2010.5.65>, a method of producing Monte-Carlo samples from a target distribution.
|
2023-06-16 |
|
r-rga4gh
|
public |
An Interface to the GA4GH API that allows users to easily GET responses and POST requests to GA4GH Servers. See <http://ga4gh.org> for more information about the GA4GH project.
|
2023-06-16 |
|
r-rfgls
|
public |
RFGLS uses a generalized least-squares method to perform single-marker association analysis, in datasets of nuclear families containing parents, twins, and/or adoptees
|
2023-06-16 |
|
r-requirer
|
public |
Modularizes source code. Keeps the global environment clean, explicifies interdependencies. Inspired by 'RequireJS'<http://requirejs.org/>.
|
2023-06-16 |
|
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.
|
2023-06-16 |
|
r-regexpipes
|
public |
Provides wrappers around base::grep() where the first argument is standardized to take the data object. This makes it less of a pain to use regular expressions with 'magrittr' or other pipe operators.
|
2023-06-16 |
|
r-regent
|
public |
Produces population distribution of disease risk and statistical risk categories, and predicts risks for individuals with genotype information.
|
2023-06-16 |
|
r-refnr
|
public |
A tool for refining data frame with formulas.
|
2023-06-16 |
|
r-rdrobust
|
public |
Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
|
2023-06-16 |
|
r-rdetools
|
public |
The package provides functions for estimating the relevant dimension of a data set in feature spaces, applications to model selection, graphical illustrations and prediction.
|
2023-06-16 |
|
r-rcereal
|
public |
To facilitate using 'cereal' with Rcpp. 'cereal' is a header-only C++11 serialization library. 'cereal' takes arbitrary data types and reversibly turns them into different representations, such as compact binary encodings, XML, or JSON. 'cereal' was designed to be fast, light-weight, and easy to extend - it has no external dependencies and can be easily bundled with other code or used standalone. Please see <http://uscilab.github.io/cereal> for more information.
|
2023-06-16 |
|
r-rbitcoinchartsapi
|
public |
An R package for the BitCoinCharts.com API.
|
2023-06-16 |
|
r-rankingproject
|
public |
Functions to generate plots and tables for comparing independently- sampled populations. Companion package to "A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals" by Wright, Klein, and Wieczorek (2017, in press).
|
2023-06-16 |
|
r-randtests
|
public |
Several non parametric randomness tests for numeric sequences
|
2023-06-16 |
|
r-ramchoice
|
public |
It is widely documented in psychology, economics and other disciplines that socio-economic agent may not pay full attention to all available alternatives, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures of Cattaneo, Ma, Masatlioglu and Suleymanov (2019) <arXiv:1712.03448>, which utilizes standard choice data to partially identify and estimate a decision maker's preference. For inference, several simulation-based critical values are provided.
|
2023-06-16 |
|
r-radar
|
public |
Fundamental formulas for Radar, for attenuation, range, velocity, effectiveness, power, scatter, doppler, geometry, radar equations, etc. Based on Nick Guy's Python package PyRadarMet
|
2023-06-16 |
|
r-r2admb
|
public |
A series of functions to call 'AD Model Builder' (i.e., compile and run models) from within R, read the results back into R as 'admb' objects, and provide standard accessors (i.e. coef(), vcov(), etc.)
|
2023-06-16 |
|
r-qqperm
|
public |
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.
|
2023-06-16 |
|
r-qgglmm
|
public |
Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.
|
2023-06-16 |
|
r-pushoverr
|
public |
Send push notifications to mobile devices or the desktop using Pushover. These notifications can display job status, results, scraped web data, or any other text or numeric data.
|
2023-06-16 |
|
r-pushbar
|
public |
Create sliders from left, right, top and bottom which may include any html or 'Shiny' input or output.
|
2023-06-16 |
|
r-proliferativeindex
|
public |
Provides functions for calculating and analyzing the proliferative index (PI) from an RNA-seq dataset. As described in Ramaker & Lasseigne, et al. bioRxiv, 2016 <doi:10.1101/063057>.
|
2023-06-16 |
|
r-processcontrol
|
public |
Generate time series chart for individual values with mean and +/- 3 standard deviation lines and the corresponding mR chart with the upper control limit. Also execute the 8 Shewhart stability run tests and display the violations.
|
2023-06-16 |
|
r-prithulib
|
public |
Enables user to perform the following: 1. Roll 'n' number of die/dice (roll()). 2. Toss 'n' number of coin(s) (toss()). 3. Play the game of Rock, Paper, Scissors. 4. Choose 'n' number of card(s) from a pack of 52 playing cards (Joker optional).
|
2023-06-16 |
|
r-prism.forecast
|
public |
Implements Penalized Regression with Inferred Seasonality Module (PRISM) to generate forecast estimation of weekly unemployment initial claims using 'Google Trends' data. It includes required data and tools for backtesting the performance in 2007-2016.
|
2023-06-16 |
|
r-preputils
|
public |
Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimensional data and help for preprocessing and preparing analyses.
|
2023-06-16 |
|
r-predmixcor
|
public |
"train_predict_mix" predicts the binary response with binary features
|
2023-06-16 |
|
r-praktikum
|
public |
Kasulikud funktsioonid kvantitatiivsete mudelite kursuse (SHPH.00.004) jaoks
|
2023-06-16 |
|
r-pps
|
public |
The pps package contains functions to select samples using PPS (probability proportional to size) sampling. It also includes a function for stratified simple random sampling, a function to compute joint inclusion probabilities for Sampford's method of PPS sampling, and a few utility functions. The user's guide pps-ug.pdf is included.
|
2023-06-16 |
|
r-powerupr
|
public |
Includes tools to calculate statistical power, minimum detectable effect size (MDES), MDES difference (MDESD), and minimum required sample size for various multilevel randomized experiments with continuous outcomes. Some of the functions can assist with planning two- and three-level cluster-randomized trials (CRTs) sensitive to multilevel moderation and mediation (2-1-1, 2-2-1, and 3-2-1). See 'PowerUp!' Excel series at <https://www.causalevaluation.org/>.
|
2023-06-16 |
|
r-pollstr
|
public |
Client for the HuffPost Pollster API, which provides access to U.S. polls on elections and political opinion.
|
2023-06-16 |
