Evaluate hypotheses concerning the distribution of multinomial proportions using bridge sampling. The bridge sampling routine is able to compute Bayes factors for hypotheses that entail inequality constraints, equality constraints, free parameters, and mixtures of all three. These hypotheses are tested against the encompassing hypothesis, that all parameters vary freely or against the null hypothesis that all category proportions are equal. For more information see Sarafoglou et al. (2020) <doi:10.31234/osf.io/bux7p>.

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Two method new of multigroup and simulation of data. The first technique called multigroup PCA (mgPCA) this multivariate exploration approach that has the idea of considering the structure of groups and / or different types of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality Reduction (MDR) it is another multivariate exploration method that is based on projections. In addition, a method called Single Dimension Exploration (SDE) was incorporated for to analyze the exploration of the data. It could help us in a better way to observe the behavior of the multigroup data with certain variables of interest.

This package provides a unified framework for fitting, predicting, and interpreting nonlinear relationships in single-level, multilevel, and longitudinal regression models. Flexible functional forms are supported using natural cubic splines ('splines'), B-splines ('splines'), and GAM smooths ('mgcv'). Supports two-way and nested clustering via lme4', automatic knot selection by AIC or BIC, multilevel R-squared decomposition (Nakagawa-Schielzeth marginal and conditional R-squared with level-specific variance partitioning), a postestimation suite returning first and second derivatives with confidence bands, turning points and inflection regions, and a model comparison workflow contrasting linear, polynomial, and spline fits by AIC, BIC, and likelihood-ratio tests. Cluster heterogeneity in nonlinear effects is supported via random-slope spline terms.

Experimental data for use with the MutSeqR vignette and examples. This dataset is taken from LeBlanc et al., 2022. 24 MutaMouse animals were exposed to one of three doses of benzo[a]pyrene or a vehicle control for 28 days by oral gavage. 28 days after the end of the exposure, bone marrow of the femurs was harvested from euthanized animals. DNA extraction was conducted via DNeasy Blood and Tissue kit. DNA samples were sequenced using TwinStrand's Duplex Sequencing on the Mouse Mutagenesis Panel at > 10,000 depth. The Mouse Mutagenesis Panel comprises 20 2.4kb genomic targets with one located on each mouse autosome (two on chromosome 1). Pre-processing of sequence reads was redone since publication using an updated version of TwinStrand's Mutagenesis App (v. 3.20.1) which produced tabular mutation data files for each sample. Data contained herein are only those required for running MutSeqR examples and vignette.

This package contains the Mus.musculus object to access data from several related annotation packages.

Xorg mutt-misc fonts.

Documentation at https://melpa.org/#/mustache

Documentation at https://melpa.org/#/mu4e-llm

Documentation at https://melpa.org/#/term+mux

Platform Design Info for The Manufacturer's Name Mu11KsubA.

Platform Design Info for The Manufacturer's Name Mu11KsubB.

This package provides install functions of other languages such as java', python'.

MultiXml provides swappable XML backends utilizing either LibXML, Nokogiri, Ox, or REXML.

This package provides a package containing an environment representing the Mu11KsubA.CDF file.

This package provides a package containing an environment representing the Mu19KsubB.CDF file.

This package provides a package containing an environment representing the Mu11KsubB.CDF file.

This package provides a package containing an environment representing the Mu19KsubC.CDF file.

This package provides a package containing an environment representing the Mu19KsubA.CDF file.

Affymetrix Affymetrix Mu19KsubA Array annotation data (chip mu19ksuba) assembled using data from public repositories.

Affymetrix Affymetrix Mu11KsubA Array annotation data (chip mu11ksuba) assembled using data from public repositories.

Affymetrix Affymetrix Mu19KsubB Array annotation data (chip mu19ksubb) assembled using data from public repositories.

Affymetrix Affymetrix Mu11KsubB Array annotation data (chip mu11ksubb) assembled using data from public repositories.

Affymetrix Affymetrix Mu19KsubC Array annotation data (chip mu19ksubc) assembled using data from public repositories.