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r-assertive
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public |
Lots of predicates (is_* functions) to check the state of your variables, and assertions (assert_* functions) to throw errors if they aren't in the right form.
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2023-06-16 |
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r-cdltools
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public |
Downloads USDA National Agricultural Statistics Service (NASS) cropscape data for a specified state. Utilities for fips, abbreviation, and name conversion are also provided. Full functionality requires an internet connection, but data sets can be cached for later off-line use.
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2023-06-16 |
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r-ccapp
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public |
Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and non-parametric methods.
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2023-06-16 |
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r-boomspikeslab
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public |
Spike and slab regression a la McCulloch and George (1997).
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2023-06-16 |
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r-c212
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public |
Methods for detecting safety signals in clinical trials using groupings of adverse events by body-system or system organ class.The package title c212 is in reference to the original Engineering and Physical Sciences Research Council (UK) funded project which was named CASE 2/12.
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2023-06-16 |
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r-ca
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public |
Computation and visualization of simple, multiple and joint correspondence analysis.
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2023-06-16 |
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r-bvar
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public |
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015) <doi:10.1162/REST_a_00483>. Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
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2023-06-16 |
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r-bspec
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public |
Bayesian inference on the (discrete) power spectrum of time series.
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2023-06-16 |
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r-brq
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public |
Bayesian estimation and variable selection for quantile regression models.
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2023-06-16 |
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r-browndog
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public |
An R interface for the Brown Dog which allows researchers to leverage Brown Dog Services that provides modules to identify the conversion options for a file, to convert file to appropriate format, or to extract data from a file. See <http://browndog.ncsa.illinois.edu/> for more information.
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2023-06-16 |
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r-brant
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public |
Tests the parallel regression assumption for ordinal logit models generated with the function polr() from the package 'MASS'.
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2023-06-16 |
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r-bootspecdens
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public |
Bootstrap for testing the hypothesis that the spectral densities of a number m, m>=2, not necessarily independent time series are equal
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2023-06-16 |
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r-boilerpiper
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public |
Generic Extraction of main text content from HTML files; removal of ads, sidebars and headers using the boilerpipe (http://code.google.com/p/boilerpipe/) Java library. The extraction heuristics from boilerpipe show a robust performance for a wide range of web site templates.
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2023-06-16 |
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r-boa
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public |
A menu-driven program and library of functions for carrying out convergence diagnostics and statistical and graphical analysis of Markov chain Monte Carlo sampling output.
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2023-06-16 |
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r-blsapi
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public |
Allows users to request data for one or multiple series through the U.S. Bureau of Labor Statistics API. Users provide parameters as specified in <https://www.bls.gov/developers/api_signature.htm> and the function returns a JSON string.
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2023-06-16 |
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r-bizdays
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public |
Business days calculations based on a list of holidays and nonworking weekdays. Quite useful for fixed income and derivatives pricing.
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2023-06-16 |
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r-bioftf
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public |
The main drawback of the most common biodiversity indices is that different measures may lead to different rankings among communities. This instrument overcomes this limit using some functional tools with the diversity profiles. In particular, the derivatives, the curvature, the radius of curvature, the arc length, and the surface area are proposed. The goal of this method is to interpret in detail the diversity profiles and obtain an ordering between different ecological communities on the basis of diversity. In contrast to the typical indices of diversity, the proposed method is able to capture the multidimensional aspect of biodiversity, because it takes into account both the evenness and the richness of the species present in an ecological community.
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2023-06-16 |
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r-bimixt
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public |
Estimates non-Gaussian mixture models of case-control data. The four types of models supported are binormal, two component constrained, two component unconstrained, and four component. The most general model is the four component model, under which both cases and controls are distributed according to a mixture of two unimodal distributions. In the four component model, the two component distributions of the control mixture may be distinct from the two components of the case mixture distribution. In the two component unconstrained model, the components of the control and case mixtures are the same; however the mixture probabilities may differ for cases and controls. In the two component constrained model, all controls are distributed according to one of the two components while cases follow a mixture distribution of the two components. In the binormal model, cases and controls are distributed according to distinct unimodal distributions. These models assume that Box-Cox transformed case and control data with a common lambda parameter are distributed according to Gaussian mixture distributions. Model parameters are estimated using the expectation-maximization (EM) algorithm. Likelihood ratio test comparison of nested models can be performed using the lr.test function. AUC and PAUC values can be computed for the model-based and empirical ROC curves using the auc and pauc functions, respectively. The model-based and empirical ROC curves can be graphed using the roc.plot function. Finally, the model-based density estimates can be visualized by plotting a model object created with the bimixt.model function.
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2023-06-16 |
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r-assertive.code
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public |
A set of predicates and assertions for checking the properties of code. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
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2023-06-16 |
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r-analogsea
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public |
Provides a set of functions for interacting with the 'Digital Ocean' API at <https://developers.digitalocean.com/documentation/v2>, including creating images, destroying them, rebooting, getting details on regions, and available images.
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2023-06-16 |
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r-blr
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public |
Bayesian Linear Regression.
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2023-06-16 |
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r-biglm
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public |
Regression for data too large to fit in memory
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2023-06-16 |
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r-bwstest
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public |
Performs the 'Baumgartner-Weiss-Schindler' two-sample test of equal probability distributions, <doi:10.2307/2533862>. Also performs similar rank-based tests for equal probability distributions due to Neuhauser <doi:10.1080/10485250108832874> and Murakami <doi:10.1080/00949655.2010.551516>.
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2023-06-16 |
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r-bpkde
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public |
Nonparametric multivariate kernel density \ estimation using a back-projected kernel.
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2023-06-16 |
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r-bootruin
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public |
We provide a framework for testing the probability of ruin in the classical (compound Poisson) risk process. It also includes some procedures for assessing and comparing the performance between the bootstrap test and the test using asymptotic normality.
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2023-06-16 |
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r-bpa
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public |
Run basic pattern analyses on character sets, digits, or combined input containing both characters and numeric digits. Useful for data cleaning and for identifying columns containing multiple or nonstandard formats.
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2023-06-16 |
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r-bootstepaic
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public |
Model selection by bootstrapping the stepAIC() procedure.
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2023-06-16 |
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r-allan
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public |
Automated fitting of linear regression models and a stepwise routine
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2023-06-16 |
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r-brea
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public |
A function to produce MCMC samples for posterior inference in semiparametric Bayesian discrete time competing risks recurrent events models.
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2023-06-16 |
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r-bookdown
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public |
Output formats and utilities for authoring books and technical documents with R Markdown.
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2023-06-16 |
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r-assertive.data.uk
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public |
A set of predicates and assertions for checking the properties of UK-specific complex data types. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
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2023-06-16 |
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r-bqtl
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public |
QTL mapping toolkit for inbred crosses and recombinant inbred lines. Includes maximum likelihood and Bayesian tools.
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2023-06-16 |
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r-boom
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public |
A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
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2023-06-16 |
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r-boltzmm
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public |
Provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines. It follows the methods described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.
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2023-06-16 |
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r-c3net
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public |
This package allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.
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2023-06-16 |
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r-buildmer
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public |
Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, or the Bayesian Information Criterion.
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2023-06-16 |
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r-bucky
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public |
Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors. The package was originally developed, in part, to assist porting of replication code from 'Stata' and attempts to replicate default options from 'Stata' where possible.
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2023-06-16 |
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r-braidrm
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public |
Contains functions for evaluating, analyzing, and fitting combined action dose response surfaces with the Bivariate Response to Additive Interacting Dose (BRAID) model of combined action.
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2023-06-16 |
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r-bootlr
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public |
Computes appropriate confidence intervals for the likelihood ratio tests commonly used in medicine/epidemiology, using the method of Marill et al. (2015) <doi:10.1177/0962280215592907>. It is particularly useful when the sensitivity or specificity in the sample is 100%. Note that this does not perform the test on nested models--for that, see 'epicalc::lrtest'.
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2023-06-16 |
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r-bsmd
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public |
Bayes screening and model discrimination follow-up designs.
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2023-06-16 |
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r-brnn
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public |
Bayesian regularization for feed-forward neural networks.
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2023-06-16 |
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r-bundesbank
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public |
Download data from the time-series databases of the Bundesbank, the German central bank. See the overview at the Bundesbank website (<https://www.bundesbank.de/en/statistics/time-series-databases>) for available series. The package provides only a single function, getSeries(), which supports both traditional and real-time datasets; it will also download meta data if available. Downloaded data can automatically be arranged in various formats, such as data frames or 'zoo' series. The data may optionally be cached, so as to avoid repeated downloads of the same series.
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2023-06-16 |
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r-bpbounds
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public |
Implementation of the nonparametric bounds for the average causal effect under an instrumental variable model by Balke and Pearl (Bounds on Treatment Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439, 1171-1176). The package can calculate bounds for a binary outcome, a binary treatment/phenotype, and an instrument with either 2 or 3 categories. The package implements bounds for situations where these 3 variables are measured in the same dataset (trivariate data) or where the outcome and instrument are measured in one study and the treatment/phenotype and instrument are measured in another study (bivariate data).
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2023-06-16 |
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r-boxplotdbl
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public |
Correlation chart of two set (x and y) of data. Using Quartiles with boxplot style. Visualize the effect of factor.
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2023-06-16 |
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r-bsearchtools
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public |
Exposes the binary search functions of the C++ standard library (std::lower_bound, std::upper_bound) plus other convenience functions, allowing faster lookups on sorted vectors.
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2023-06-16 |
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r-borrowr
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public |
Estimate population average treatment effects from a primary data source with borrowing from supplemental sources. Causal estimation is done with either a Bayesian linear model or with Bayesian additive regression trees (BART) to adjust for confounding. Borrowing is done with multisource exchangeability models (MEMs). For information on BART, see Chipman, George, & McCulloch (2010) <doi:10.1214/09-AOAS285>. For information on MEMs, see Kaizer, Koopmeiners, & Hobbs (2018) <doi10.1093/biostatistics/kxx031>.
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2023-06-16 |
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r-bwd
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public |
Implements a backward procedure for single and multiple change point detection proposed by Shin et al. <arXiv:1812.10107>. The backward approach is particularly useful to detect short and sparse signals which is common in copy number variation (CNV) detection.
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2023-06-16 |
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r-bootstrap
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public |
Software (bootstrap, cross-validation, jackknife) and data for the book "An Introduction to the Bootstrap" by B. Efron and R. Tibshirani, 1993, Chapman and Hall. This package is primarily provided for projects already based on it, and for support of the book. New projects should preferentially use the recommended package "boot".
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2023-06-16 |
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r-bvartools
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public |
Assists in the set-up of algorithms for Bayesian inference of vector autoregressive (VAR) models. Functions for posterior simulation, forecasting, impulse response analysis and forecast error variance decomposition are largely based on the introductory texts of Koop and Korobilis (2010) <doi:10.1561/0800000013> and Luetkepohl (2007, ISBN: 9783540262398).
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2023-06-16 |
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r-bullwhipgame
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public |
The bullwhipgame is an educational game that has as purpose the illustration and exploration of the bullwhip effect,i.e, the increase in demand variability along the supply chain. Marchena Marlene (2010) <arXiv:1009.3977>.
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2023-06-16 |
