Showing 8 of total 8 results (show query)
ash0204
GHS:Graphical Horseshoe MCMC Sampler Using Data Augmented Block Gibbs Sampler
Draw posterior samples to estimate the precision matrix for multivariate Gaussian data. Posterior means of the samples is the graphical horseshoe estimate by Li, Bhadra and Craig(2017) <arXiv:1707.06661>. The function uses matrix decomposition and variable change from the Bayesian graphical lasso by Wang(2012) <doi:10.1214/12-BA729>, and the variable augmentation for sampling under the horseshoe prior by Makalic and Schmidt(2016) <arXiv:1508.03884>. Structure of the graphical horseshoe function was inspired by the Bayesian graphical lasso function using blocked sampling, authored by Wang(2012) <doi:10.1214/12-BA729>.
Maintained by Ashutosh Srivastava. Last updated 6 years ago.
56.6 match 1.48 score 2 scripts
guillaumepressiat
pmeasyr:Donnees PMSI avec R
Import de donnees PMSI. Gestion des archives. Formats depuis 2011. Connexion et interface avec une db. requetr. Valorisation des rsa, des rapss.
Maintained by Guillaume Pressiat. Last updated 13 days ago.
4.5 match 20 stars 6.76 score 53 scripts
usepa
ctxR:Utilities for Interacting with the 'CTX' APIs
Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>. 'ctxR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.
Maintained by Paul Kruse. Last updated 2 months ago.
2.8 match 10 stars 8.02 score 13 scripts 1 dependents
c1au6i0
extractox:Extract Tox Info from Various Databases
Extract toxicological and chemical information from databases maintained by scientific agencies and resources, including the Comparative Toxicogenomics Database <https://ctdbase.org/>, the Integrated Chemical Environment <https://ice.ntp.niehs.nih.gov/>, the Integrated Risk Information System <https://cfpub.epa.gov/ncea/iris/>, Provisional Peer-Reviewed Toxicity Values <https://www.epa.gov/pprtv/provisional-peer-reviewed-toxicity-values-pprtvs-assessments>, the CompTox Chemicals Dashboard Resource Hub <https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-resource-hub>, PubChem <https://pubchem.ncbi.nlm.nih.gov/>, and others.
Maintained by Claudio Zanettini. Last updated 1 months ago.
1.9 match 3 stars 4.59 score 3 scripts
cran
MRQoL:Minimal Clinically Important Difference and Response Shift Effect for Health-Related Quality of Life
We can calculate directly used this package the Minimal Clinically Important Difference by applying the Anchor-based method and the Response shift effect by applying the Then-Test method.
Maintained by Ahmad Ousmen. Last updated 10 years ago.
3.5 match 1.00 scorecran
graphicalEvidence:Graphical Evidence
Computes marginal likelihood in Gaussian graphical models through a novel telescoping block decomposition of the precision matrix which allows estimation of model evidence. The top level function used to estimate marginal likelihood is called evidence(), which expects the prior name, data, and relevant prior specific parameters. This package also provides an MCMC prior sampler using the same underlying approach, implemented in prior_sampling(), which expects a prior name and prior specific parameters. Both functions also expect the number of burn-in iterations and the number of sampling iterations for the underlying MCMC sampler.
Maintained by David Rowe. Last updated 4 months ago.
1.7 match 2.00 score