Showing 5 of total 5 results (show query)
bioc
TCGAutils:TCGA utility functions for data management
A suite of helper functions for checking and manipulating TCGA data including data obtained from the curatedTCGAData experiment package. These functions aim to simplify and make working with TCGA data more manageable. Exported functions include those that import data from flat files into Bioconductor objects, convert row annotations, and identifier translation via the GDC API.
Maintained by Marcel Ramos. Last updated 4 months ago.
softwareworkflowsteppreprocessingdataimportbioconductor-packagetcgau24ca289073utilities
27 stars 9.66 score 210 scripts 10 dependents
insightsengineering
teal.logger:Logging Setup for the 'teal' Family of Packages
Utilizing the 'logger' framework to record events within a package, specific to 'teal' family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.
Maintained by Dawid Kaledkowski. Last updated 2 months ago.
5 stars 8.24 score 3 scripts 8 dependents
qile0317
FastUtils:Fast, Readable Utility Functions
A wide variety of tools for general data analysis, wrangling, spelling, statistics, visualizations, package development, and more. All functions have vectorized implementations whenever possible. Exported names are designed to be readable, with longer names possessing short aliases.
Maintained by Qile Yang. Last updated 4 months ago.
scientific-computingutilitiesutilitycpp
2 stars 4.95 score 2 scripts
bogind
easycsv:Load Multiple 'csv' and 'txt' Tables
Allows users to easily read multiple comma separated tables and create a data frame under the same name. Is able to read multiple comma separated tables from a local directory, a zip file or a zip file on a remote directory.
Maintained by Dror Bogin. Last updated 6 years ago.
4 stars 4.92 score 28 scripts 5 dependents
pletschm
aldvmm:Adjusted Limited Dependent Variable Mixture Models
The goal of the package 'aldvmm' is to fit adjusted limited dependent variable mixture models of health state utilities. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package 'aldvmm' uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using normal component distributions and a multinomial logit model of probabilities of component membership.
Maintained by Mark Pletscher. Last updated 1 years ago.
clinical-trialscost-effectivenesseq5dfinite-mixturehealth-economicshtahuilimited-dependent-variablemappingmixture-modelpatient-reported-outcomesquality-of-lifeutilities
4 stars 4.30 score 2 scripts