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r-benchden
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Full implementation of the 28 distributions introduced as benchmarks for nonparametric density estimation by Berlinet and Devroye (1994). Includes densities, cdfs, quantile functions and generators for samples as well as additional information on features of the densities. Also contains the 4 histogram densities used in Rozenholc/Mildenberger/Gather (2010).
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2025-04-22 |
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r-belex
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Tools for downloading historical financial data from the www.belex.rs.
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2025-04-22 |
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r-behavr
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Implements an S3 class based on 'data.table' to store and process efficiently ethomics (high-throughput behavioural) data.
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2025-04-22 |
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r-beeswarm
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The bee swarm plot is a one-dimensional scatter plot like "stripchart", but with closely-packed, non-overlapping points.
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2025-04-22 |
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r-beepr
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The main function of this package is beep(), with the purpose to make it easy to play notification sounds on whatever platform you are on. It is intended to be useful, for example, if you are running a long analysis in the background and want to know when it is ready.
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2025-04-22 |
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r-beast
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Assume that a temporal process is composed of contiguous segments with differing slopes and replicated noise-corrupted time series measurements are observed. The unknown mean of the data generating process is modelled as a piecewise linear function of time with an unknown number of change-points. The package infers the joint posterior distribution of the number and position of change-points as well as the unknown mean parameters per time-series by MCMC sampling. A-priori, the proposed model uses an overfitting number of mean parameters but, conditionally on a set of change-points, only a subset of them influences the likelihood. An exponentially decreasing prior distribution on the number of change-points gives rise to a posterior distribution concentrating on sparse representations of the underlying sequence, but also available is the Poisson distribution. See Papastamoulis et al (2017) <arXiv:1709.06111> for a detailed presentation of the method.
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2025-04-22 |
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r-beanplot
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Plots univariate comparison graphs, an alternative to boxplot/stripchart/violin plot.
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2025-04-22 |
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r-bdpv
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Computation of asymptotic confidence intervals for negative and positive predictive values in binary diagnostic tests in case-control studies. Experimental design for hypothesis tests on predictive values.
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2025-04-22 |
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r-bdp2
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Tools and workflow to choose design parameters in Bayesian adaptive single-arm phase II trial designs with binary endpoint (response, success) with possible stopping for efficacy and futility at interim analyses. Also contains routines to determine and visualize operating characteristics. See Kopp-Schneider et al. (2018) <doi:10.1002/bimj.201700209>.
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2025-04-22 |
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r-bcra
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Functions provide risk projections of invasive breast cancer based on Gail model according to National Cancer Institute's Breast Cancer Risk Assessment Tool algorithm for specified race/ethnic groups and age intervals.
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2025-04-22 |
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r-bcpmeta
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A Bayesian approach to detect mean shifts in AR(1) time series while accommodating metadata (if available). In addition, a linear trend component is allowed.
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2025-04-22 |
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r-bcgee
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Provides bias-corrected estimates for the regression coefficients of a marginal model estimated with generalized estimating equations. Details about the bias formula used are in Lunardon, N., Scharfstein, D. (2017) <doi:10.1002/sim.7366>.
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2025-04-22 |
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r-bcdating
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Tools for Dating Business Cycles using Harding-Pagan (Quarterly Bry-Boschan) method and various plotting features.
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2025-04-22 |
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r-bcc1997
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Calculates the prices of European options based on the universal solution provided by Bakshi, Cao and Chen (1997) <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic volatility, stochastic interest and random jumps. Please cite their work if this package is used.
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2025-04-22 |
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r-bcaboot
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Computation of bootstrap confidence intervals in an almost automatic fashion.
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2025-04-22 |
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r-bbo
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This package provides an R implementation of Biogeography-Based Optimization (BBO), originally invented by Prof. Dan Simon, Cleveland State University, Ohio. This method is an application of the concept of biogeography, a study of the geographical distribution of biological organisms, to optimization problems. More information about this method can be found here: http://academic.csuohio.edu/simond/bbo/.
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2025-04-22 |
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r-bbmv
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Provides a set of functions to fit general macroevolutionary models for continuous traits evolving in adaptive landscapes of any shape. This package implements the Fokker-Planck-Kolmogorov model (FPK), in which the trait evolves under random diffusion but is also subject to a force that pulls it towards specific values - this force can be of any shape. FPK has a version in which hard reflective bounds exist at the extremes of the trait interval: this second model is called BBMV.
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2025-04-22 |
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r-bbmm
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The model provides an empirical estimate of a movement path using discrete location data obtained at relatively short time intervals.
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2025-04-22 |
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r-bbmle
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Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.
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2025-04-22 |
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r-bbemkr
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Bayesian bandwidth estimation for Nadaraya-Watson type multivariate kernel regression with Gaussian error density
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2025-04-22 |
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r-bbefkr
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Estimating optimal bandwidths for the regression mean function approximated by the functional Nadaraya-Watson estimator and the error density approximated by a kernel density of residuals simultaneously in a scalar-on-function regression. As a by-product of Markov chain Monte Carlo, the optimal choice of semi-metric is selected based on largest marginal likelihood.
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2025-04-22 |
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r-bb
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Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("BB").
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2025-04-22 |
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r-baystar
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The manuscript introduces the BAYSTAR package, which provides the functionality for Bayesian estimation in autoregressive threshold models.
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2025-04-22 |
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r-bayloredpsych
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Functions and data used for Baylor University Educational Psychology Quantitative Courses
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2025-04-22 |
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r-bayhaz
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A suite of R functions for Bayesian estimation of smooth hazard rates via Compound Poisson Process (CPP) and Bayesian Penalized Spline (BPS) priors.
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2025-04-22 |
