Randomization schedules are generated in the schemes with k (k>=2) treatment groups and any allocation ratios by minimization algorithms.
Non-linear shrinkage estimation of population eigenvalues and covariance matrices, based on publications by Ledoit and Wolf (2004, 2015, 2016).
Statistical power simulation for testing the Rasch Model based on a three-way analysis of variance design with mixed classification.
This package provides a collection of functions to process digital images, depict greenness index trajectories and extract relevant phenological stages.
Collect your data on digital marketing campaigns from Quora Ads using the Windsor.ai API <https://windsor.ai/api-fields/>.
Perform two-dimensional smoothing for spatial fields using FFT and the convolution theorem (see Gilleland 2013, <doi:10.5065/D61834G2>).
Used for creating swimmers plots with functions to customize the bars, add points, add lines, add text, and add arrows.
Scrap speech text and speaker informations of speeches of House of Representatives of Brazil, and transform in a cleaned tibble.
Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms PELORA and WILMA'.
Algorithms for the implementation and evaluation of Monte Carlo tests, as well as for their use in multiple testing procedures.
Each sequence is predicted by expanding the distance matrix. The compact set of hyper-parameters is tuned through random search.
This package provides a user-friendly R data package that is intended to make Turkish higher education statistics more accessible.
Gene and exon information from Ensembl genome builds GRCh38.p13 (104) and GRCh37 (v40) to use with the topr package.
The xlsxjars package collects all the external jars required for the xlxs package. This release corresponds to POI 3.13.
An R interface to the OpenPyXL Python library to create native Excel charts and work with Microsoft Excel files.
This package provides a Graphical User Interface for differential expression analysis of two-color microarray data using the limma package.
Data package containing a collection of multi-sample multi-group scRNA-seq datasets in SingleCellExperiment Bioconductor object format.
This package provides a collection of datasets to accompany the R package MOFA and illustrate running and analysing MOFA models.
This package provides functions for the selection of optimal reference genes and the normalisation of real-time quantitative PCR data.
Bulk RNA-seq from GTEx on 4,000 randomly selected, expressed genes. Data has been processed for co-expression analysis.
Phyloseq provides a set of classes and tools to facilitate the import, storage, analysis, and graphical display of microbiome census data.
This is a package to simplify loading of system fonts and Google Fonts into R, in order to support other packages.
This package fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models.
This package provides tools for circular statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.