|
r-repeatedhighdim
|
public |
Global tests for expression data of high-dimensional sets of molecular features.
|
2023-06-16 |
|
r-rehh.data
|
public |
Contains example data for the 'rehh' package.
|
2023-06-16 |
|
r-regress
|
public |
Functions to fit Gaussian linear model by maximising the residual log likelihood where the covariance structure can be written as a linear combination of known matrices. Can be used for multivariate models and random effects models. Easy straight forward manner to specify random effects models, including random interactions. Code now optimised to use Sherman Morrison Woodbury identities for matrix inversion in random effects models. We've added the ability to fit models using any kernel as well as a function to return the mean and covariance of random effects conditional on the data (BLUPs).
|
2023-06-16 |
|
r-rcriticor
|
public |
Goldwin-Pierre correlogram. Research of critical periods in the past. Integrates a time series in a given window.
|
2023-06-16 |
|
r-raw
|
public |
In order to facilitate R instruction for actuaries, we have organized several sets of publicly available data of interest to non-life actuaries. In addition, we suggest a set of packages, which most practicing actuaries will use routinely. Finally, there is an R markdown skeleton for basic reserve analysis.
|
2023-06-16 |
|
r-raptor
|
public |
Performs wood cell anatomical data analyses on spatially explicit xylem (tracheids) datasets derived from thin sections of woody tissue. The package includes functions for visualisation, detection and alignment of continuous tracheid radial file (defined as rows) and individual tracheid position within an annual ring of coniferous species. This package is designed to be used with elaborate cell output, e.g. as provided with ROXAS (von Arx & Carrer, 2014 <doi:10.1016/j.dendro.2013.12.001>). The package has been validated for Picea abies, Larix Siberica, Pinus cembra and Pinus sylvestris.
|
2023-06-16 |
|
r-rapiclient
|
public |
Access services specified in OpenAPI (formerly Swagger) format. It is not a code generator. Client is generated dynamically as a list of R functions.
|
2023-06-16 |
|
r-qcc
|
public |
Shewhart quality control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves. Process capability analysis. Pareto chart and cause-and-effect chart. Multivariate control charts.
|
2023-06-16 |
|
r-qboxplot
|
public |
Produce quantile-based box-and-whisker plot(s).
|
2023-06-16 |
|
r-purge
|
public |
Enables the removal of training data from fitted R models while retaining predict functionality. The purged models are more portable as their memory footprints do not scale with the training sample size.
|
2023-06-16 |
|
r-promote
|
public |
Deploy, maintain, and invoke predictive models using the 'Alteryx Promote' REST API. 'Alteryx Promote' is available at the URL: <https://www.alteryx.com/products/alteryx-promote>.
|
2023-06-16 |
|
r-ppls
|
public |
Contains linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques. Model parameters are selected via cross-validation, and confidence intervals ans tests for the regression coefficients can be conducted via jackknifing.
|
2023-06-16 |
|
r-posi
|
public |
In linear LS regression, calculate for a given design matrix the multiplier K of coefficient standard errors such that the confidence intervals [b - K*SE(b), b + K*SE(b)] have a guaranteed coverage probability for all coefficient estimates b in any submodels after performing arbitrary model selection.
|
2023-06-16 |
|
r-poiclaclu
|
public |
Implements the methods described in the paper, Witten (2011) Classification and Clustering of Sequencing Data using a Poisson Model, Annals of Applied Statistics 5(4) 2493-2518.
|
2023-06-16 |
|
r-pnn
|
public |
The program pnn implements the algorithm proposed by Specht (1990). It is written in the R statistical language. It solves a common problem in automatic learning. Knowing a set of observations described by a vector of quantitative variables, we classify them in a given number of groups. Then, the algorithm is trained with this datasets and should guess afterwards the group of any new observation. This neural network has the main advantage to begin generalization instantaneously even with a small set of known observations. It is delivered with four functions (learn, smooth, perf and guess) and a dataset. The functions are documented with examples and provided with unit tests.
|
2023-06-16 |
|
r-plusser
|
public |
plusser provides an API interface to Google+ so that posts, profiles and pages can be automatically retrieved.
|
2023-06-16 |
|
r-pluscode
|
public |
Retrieves a 'pluscode' by inputting latitude and longitude. Includes additional functions to retrieve neighbouring 'pluscodes'.
|
2023-06-16 |
|
r-plde
|
public |
We present a penalized log-density estimation method using Legendre polynomials with lasso penalty to adjust estimate's smoothness. Re-expressing the logarithm of the density estimator via a linear combination of Legendre polynomials, we can estimate parameters by maximizing the penalized log-likelihood function. Besides, we proposed an implementation strategy that builds on the coordinate decent algorithm, together with the Bayesian information criterion (BIC).
|
2023-06-16 |
|
r-pkmon
|
public |
We implement two least-squares estimators under k-monotony constraint using a method based on the Support Reduction Algorithm from Groeneboom et al (2008) <DOI:10.1111/j.1467-9469.2007.00588.x>. The first one is a projection estimator on the set of k-monotone discrete functions. The second one is a projection on the set of k-monotone discrete probabilities. This package provides functions to generate samples from the spline basis from Lefevre and Loisel (2013) <DOI:10.1239/jap/1378401239>, and from mixtures of splines.
|
2023-06-16 |
|
r-rsq
|
public |
Calculate generalized R-squared, partial R-squared, and partial correlation coefficients for generalized linear models (including quasi models with well defined variance functions).
|
2023-06-16 |
|
r-rsca
|
public |
A statistical tool for multivariate modeling and clustering using stepwise cluster analysis. The modeling output of rSCA is constructed as a cluster tree to represent the complicated relationships between multiple dependent and independent variables. A free tool (named rSCA Tree Generator) for visualizing the cluster tree from rSCA is also released and it can be downloaded at <https://rscatree.weebly.com/>.
|
2023-06-16 |
|
r-ropenfigi
|
public |
Provide a simple interface to Bloomberg's OpenFIGI API. Please see <https://openfigi.com> for API details and registration. You may be eligible to have an API key to accelerate your loading process.
|
2023-06-16 |
|
r-rnr
|
public |
Apply sensitivity analysis for offline policy evaluation, as implemented in Jung et al. (2017) <arXiv:1702.04690> based on Rosenbaum and Rubin (1983) <http://www.jstor.org/stable/2345524>.
|
2023-06-16 |
|
r-rncbieutilslibs
|
public |
Provides the libraries of the EUtils operations for the RNCBI package.
|
2023-06-16 |
|
r-rmoajars
|
public |
External jars required for package RMOA. RMOA is a framework to build data stream models on top of MOA (Massive Online Analysis - <http://moa.cms.waikato.ac.nz>). The jar files are put in this R package, the modelling logic can be found in the RMOA package.
|
2023-06-16 |
|
r-rmawgen
|
public |
S3 and S4 functions are implemented for spatial multi-site stochastic generation of daily time series of temperature and precipitation. These tools make use of Vector AutoRegressive models (VARs). The weather generator model is then saved as an object and is calibrated by daily instrumental "Gaussianized" time series through the 'vars' package tools. Once obtained this model, it can it can be used for weather generations and be adapted to work with several climatic monthly time series.
|
2023-06-16 |
|
r-rlab
|
public |
Functions and Datasets Required for ST370 class
|
2023-06-16 |
|
r-ridittools
|
public |
Functions to compute ridit scores of vectors, compute mean ridits and their standard errors for vectors compared to a reference vector, as described in Fleiss (1981, ISBN:0-471-06428-9), and compute means/SEs for multiple groups in matrices. Data can be either counts or proportions. Emphasis is on ridit analysis of ordered categorical data such as Likert items and pain-rating scales.
|
2023-06-16 |
|
r-rhosp
|
public |
Evaluating risk (that a patient arises a side effect) during hospitalization is the main purpose of this package. Several methods (Parametric, non parametric and De Vielder estimation) to estimate the risk constant (R) are implemented in this package. There are also functions to simulate the different models of this issue in order to quantify the previous estimators. It is necessary to read at least the first six pages of the report to understand the topic.
|
2023-06-16 |
|
r-rgenetics
|
public |
R packages for genetics research
|
2023-06-16 |
|
r-reval
|
public |
Simplified scenario testing and sensitivity analysis with R via a generalized function for one-factor-at-a-time (OFAT) sensitivity analysis, evaluation of parameter sets and (sampled) parameter permutations. Options for formatting output and parallel processing are also provided.
|
2023-06-16 |
|
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.
|
2023-06-16 |
|
r-readhac
|
public |
Read Acoustic HAC format.
|
2023-06-16 |
|
r-rcdklibs
|
public |
An R interface to the Chemistry Development Kit, a Java library for chemoinformatics. Given the size of the library itself, this package is not expected to change very frequently. To make use of the CDK within R, it is suggested that you use the 'rcdk' package. Note that it is possible to directly interact with the CDK using 'rJava'. However 'rcdk' exposes functionality in a more idiomatic way. The CDK library itself is released as LGPL and the sources can be obtained from <https://github.com/cdk/cdk>.
|
2023-06-16 |
|
r-rcbsubset
|
public |
Tools for optimal subset matching of treated units and control units in observational studies, with support for refined covariate balance constraints, (including fine and near-fine balance as special cases). A close relative is the 'rcbalance' package.
|
2023-06-16 |
|
r-rbit
|
public |
A simple implementation of Binary Indexed Tree by R. The BinaryIndexedTree class supports construction of Binary Indexed Tree from a vector, update of a value in the vector and query for the sum of a interval of the vector.
|
2023-06-16 |
|
r-r2stl
|
public |
r2stl, R package for visualizing data using a 3D printer Package r2stl converts R data to STL (stereolithography) files that can be used to feed a 3-dimensional printer. The 3-dimensional output from an R function can be materialized into a solid surface in a plastic material, therefore allowing more detailed examination. There are many possible uses for this new R tool, such as to examine mathematical expressions with very irregular shapes, to aid teaching people with impaired vision, to create raised relief maps from digital elevation maps (DEMs), to bridge the gap between mathematical tools and rapid prototyping, and many more. Ian Walker created the function "r2stl" and Jose' Gama assembled the package.
|
2023-06-16 |
|
r-quandl
|
public |
Functions for interacting directly with the Quandl API to offer data in a number of formats usable in R, downloading a zip with all data from a Quandl database, and the ability to search. This R package uses the Quandl API. For more information go to <https://www.quandl.com/docs/api>. For more help on the package itself go to <https://www.quandl.com/help/r>.
|
2023-06-16 |
|
r-qrank
|
public |
A Quantile Rank-score based test for the identification of expression quantitative trait loci.
|
2023-06-16 |
|
r-qgtools
|
public |
Two linear mixed model approaches: REML(restricted maximum likelihood) and MINQUE (minimum norm quadratic unbiased estimation) approaches and several resampling techniques are integrated for various quantitative genetics analyses. With these two types of approaches, various unbalanced data structures, missing data, and any irregular genetic mating designs can be analyzed and statistically tested. This package also offers fast computations for many large data sets. Other functions will be added to this R tool in the future.
|
2023-06-16 |
|
r-qdaptools
|
public |
A collection of tools associated with the 'qdap' package that may be useful outside of the context of text analysis.
|
2023-06-16 |
|
r-pyramid
|
public |
Drawing population pyramid using (1) data.frame or (2) vectors. The former is named as pyramid() and the latter pyramids(), as wrapper function of pyramid(). pyramidf() is the function to draw population pyramid within the specified frame.
|
2023-06-16 |
|
r-publish
|
public |
A bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.
|
2023-06-16 |
|
r-prroc
|
public |
Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method. References: Davis and Goadrich (2006) <doi:10.1145/1143844.1143874>; Keilwagen et al. (2014) <doi:10.1371/journal.pone.0092209>; Grau et al. (2015) <doi:10.1093/bioinformatics/btv153>.
|
2023-06-16 |
|
r-projecttemplate
|
public |
Provides functions to automatically build a directory structure for a new R project. Using this structure, 'ProjectTemplate' automates data loading, preprocessing, library importing and unit testing.
|
2023-06-16 |
|
r-privatelr
|
public |
Implements two differentially private algorithms for estimating L2-regularized logistic regression coefficients. A randomized algorithm F is epsilon-differentially private (C. Dwork, Differential Privacy, ICALP 2006 <DOI:10.1007/11681878_14>), if |log(P(F(D) in S)) - log(P(F(D') in S))| <= epsilon for any pair D, D' of datasets that differ in exactly one record, any measurable set S, and the randomness is taken over the choices F makes.
|
2023-06-16 |
|
r-prereg
|
public |
Provides a collection of templates to author preregistration documents for scientific studies in PDF format.
|
2023-06-16 |
|
r-powerfulmaxeigenpair
|
public |
An implementation for using powerful algorithm to compute the maximal eigenpair of Hermitizable tridiagonal matrices in R. It provides two algorithms to find the maximal and the next to maximal eigenpairs under the tridiagonal matrix. Besides, it also provides two auxiliary algorithms to generate tridiagonal matrix and solve the linear equation by Thomas algorithm. Several examples are included in the vignettes to illustrate the usage of the functions.
|
2023-06-16 |
|
r-poisbinnonnor
|
public |
Generation of multiple count, binary and continuous variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution.
|
2023-06-16 |
|
r-plsdof
|
public |
The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures. Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
|
2023-06-16 |
