Affymetrix Affymetrix HG_U95E Array annotation data (chip hgu95e) assembled using data from public repositories.

Affymetrix Affymetrix HC_G110 Array annotation data (chip hcg110) assembled using data from public repositories.

Affymetrix Affymetrix HG_U95B Array annotation data (chip hgu95b) assembled using data from public repositories.

Affymetrix Human Genome 219 Plate annotation data (chip hgu219) assembled using data from public repositories.

Affymetrix Affymetrix MG_U74C Array annotation data (chip mgu74c) assembled using data from public repositories.

Affymetrix Affymetrix MG_U74B Array annotation data (chip mgu74b) assembled using data from public repositories.

Data package containing a multi-sample multi-group spatial dataset in SpatialExperiment Bioconductor object format.

Affymetrix Affymetrix MG_U74A Array annotation data (chip mgu74a) assembled using data from public repositories.

Perform ontological exploration of scRNA-seq of 1.3 million mouse neurons from 10x genomics.

Affymetrix Affymetrix Yeast_2 Array annotation data (chip yeast2) assembled using data from public repositories.

Create randomizations for block random clinical trials. Can also produce a pdf file of randomization cards.

This is an implementation of BART:Bayesian Additive Regression Trees, by Chipman, George, McCulloch (2010).

This package implements Monte Carlo conditional inference for the parameters of a linear nonnormal regression model.

Create contour lines for a non regular series of points, potentially from a non-regular canvas.

Design functions for DCMs and other types of choice studies (including MaxDiff and other tradeoffs).

Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.

Classical Test and Item analysis, Item Response analysis and data management for educational and psychological tests.

Easily explore data by creating ggplots through a (shiny-)GUI. R-code to recreate graph provided.

Reproducible, programmatic retrieval of datasets from the Inter-university Consortium for Political and Social Research archive.

Plot, process, and analyze NPO files produced by Nonpareil <http://enve-omics.ce.gatech.edu/nonpareil/>.

Representations, conversions and display of orientation SO(3) data. See the orientlib help topic for details.

Sensitivity and power analysis, for calculating statistics describing pedigrees from wild populations, and for visualizing pedigrees.

Calculate the risk of developing type 2 diabetes using risk prediction algorithms derived by ClinRisk'.

Fit and selects point pattern models based on minimum contrast, AIC and and goodness of fit.