This package converts Unicode strings to pure ASCII by intelligently transliterating them. It supports Emoji and Chinese.
This package provides a package containing an environment representing the HT_MG-430_PM.cdf file.
Affymetrix Affymetrix Mouse430_2 Array annotation data (chip mouse4302) assembled using data from public repositories.
Norway981 http://genome-www5.stanford.edu/ Annotation Data (Norway981) assembled using data from public repositories.
Genome wide annotation for Pig, primarily based on mapping using Entrez Gene identifiers.
Genome wide annotation for Xenopus, primarily based on mapping using Entrez Gene identifiers.
Genome wide annotation for Canine, primarily based on mapping using Entrez Gene identifiers.
Genome wide annotation for Chicken, primarily based on mapping using Entrez Gene identifiers.
Genome wide annotation for Chimp, primarily based on mapping using Entrez Gene identifiers.
Genome wide annotation for Anopheles, primarily based on mapping using Entrez Gene identifiers.
This package provides a package containing an environment represeting the newcdf/tinesATH1.cdf.cdf file.
This is a function for validating microarray clusters via reproducibility, based on the paper referenced below.
Convert keys and other values to memorable phrases. Includes some methods to build lists of words.
Apply neutrosophic regression type estimator and performs neutrosophic interval analysis including metric calculations for survey data.
This package provides a small collection of data on graduate statistics programs from the United States.
Simple definition of time intervals for the current, previous, and next week, month, quarter and year.
User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.
Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.
This package provides Apache and IIS log analytics for transaction performance, client populations and workload definitions.
This package provides a collection of custom input controls and user interface components for Shiny applications.
Utility method to run function either synchronously or asynchronously using the common `this.async()` style.
This package provides a collection of methods for performing random rotations on high-dimensional, normally distributed data (e.g. microarray or RNA-seq data) with batch structure. The random rotation approach allows exact testing of dependent test statistics with linear models following arbitrary batch effect correction methods.
An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).
This package produces Shiny applications for different types of popular functional data analyses. The functional data analyses are implemented in the refund package, then refund.shiny reads in the refund object and implements an object-specific set of plots based on the object class using S3.