Browse Items (8029 total)

v101i08.pdf
Markov random fields on two-dimensional lattices are behind many image analysis
methodologies. mrf2d provides tools for statistical inference on a class of discrete stationary Markov random field models with pairwise interaction, which includes many…

v101i07.pdf
This paper presents the tidypaleo package for R, which enables high-quality reproducible visualizations of time-stratigraphic multivariate data that is common to several
disciplines of the natural sciences. Rather than introduce new plotting…

v101i06.pdf
Like many groups considering the new programming language Julia, we faced the
challenge of accessing the algorithms that we develop in Julia from R. Therefore, we
developed the R package JuliaConnectoR, available from the Comprehensive R…

v101i05.pdf
Non-regression-based inferences, such as discriminant analysis, can account for the
effect of predictor distributions that may be significant in big data modeling. We describe bbl, an R package for Boltzmann Bayes learning, which enables a…

v101i04.pdf
This paper introduces the usage and performance of the R package tlrmvnmvt, aimed
at computing high-dimensional multivariate normal and Student-t probabilities. The
package implements the tile-low-rank methods with block reordering and the…

v101i03.pdf
This paper introduces the R package FKSUM, which offers fast and exact evaluation of
univariate kernel smoothers. The main kernel computations are implemented in C++, and
are wrapped in simple, intuitive and versatile R functions. The fast kernel…

v101i02.pdf
Density estimation and inference methods are widely used in empirical work. When
the underlying distribution has compact support, conventional kernel-based density estimators are no longer consistent near or at the boundary because of their…

v101i01.pdf
The poolr package provides an implementation of a variety of methods for pooling
(i.e., combining) p values, including Fisher’s method, Stouffer’s method, the inverse chisquare method, the binomial test, the Bonferroni method, and Tippett’s method.…

v100i21.pdf
This article introduces the R package BayesCTDesign for two-arm randomized Bayesian
trial design using historical control data when available, and simple two-arm randomized Bayesian trial design when historical control data is not available. The…

v100i20.pdf
Missing data occur in many types of studies and typically complicate the analysis.
Multiple imputation, either using joint modeling or the more flexible fully conditional
specification approach, are popular and work well in standard settings. In…
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