The function \codebarcode() produces a histogram-like plot of a distribution that shows granularity in the data.
Developed to Solve the Multi-Criteria Decision Making Problems with Decision Making Trial and Evaluation Laboratory Technique in R.
Interactively train neural networks on Numerai, <https://numer.ai/>, data. Generate tournament predictions and write them to a CSV.
Computes the most common diversity measures used in social and other sciences, and includes new measures from interdisciplinary research.
Data sets and functions, for the display of gene expression array (microarray) data, and for demonstrations with such data.
Import SPSS data, handle and change SPSS meta data, store and access large hierarchical data in SQLite data bases.
This package performs analysis of regression in simple designs with quantitative treatments, including mixed models and non linear models.
Fast censored linear regression for the accelerated failure time (AFT) model of Huang (2013) <doi:10.1111/sjos.12031>.
Mark your interesting genes on plot and support more parameters to handle your own gene set enrichment analysis plot.
Read and process isotopocule data from an Orbitrap Isotope Solutions mass spectrometer. Citation: Kantnerova et al. (Nature Protocols, 2024).
Producing kernel estimates of the unconditional and conditional hazard function for right-censored data including methods of bandwidth selection.
Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.
Implementation of robust and sparse PCA algorithm of Wang and Van Aelst (2019) <DOI:10.1080/00401706.2019.1671234>.
Constructs a space-filling design under the criterion of maximum-minimum distance. Both discrete and continuous searches are provided.
Quick and simple Tcl/Tk Graphical User Interface to call functions. Also comprises a very simple experimental GUI framework.
Generic functions to produce area/bar/box/line plots of data following IAMC (Integrated Assessment Modeling Consortium) submission format.
Uses dplyr and tidyeval to fit statistical models inside the database. It currently supports KMeans and linear regression models.
This package provides a user interface to create or modify pharmacometric models for various modeling and simulation software platforms.
An implementation of prediction intervals for overdispersed count data, for overdispersed binomial data and for linear random effects models.
Seq2seq time-feature analysis based on variational model, with a wide range of distributions available for the latent variable.
This package performs correlation matrix segmentation and applies a test procedure to detect highly correlated regions in gene expression.
Detect libraries used in a project and automatically create software bibliographies in PDF', Word', Rmarkdown', and BibTeX formats.
Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data.
This package provides a universal non-uniform random number generator for quite arbitrary distributions with piecewise twice differentiable densities.