Author: Zahra Montazeri, Alaa Ali, Kyle Leckett, Marta Padilla and David R. Bickel
Description: Statomica is a suite of R functions that are needed for
certain packages such as LFDR.MLE, PsiHat, HistogramLFDR, combine and LFDRenrich.
Depends: R (>= 2.14.0), Biobase, multtest, distr, fBasics, methods
Packaged: 2014-12-26 12:55:24 UTC; martapadilla

Title: Shiny Apps for Automated Data Analysis and Automated
person("Denise", "Welsch", role = c("aut", "cre"), email = "denise.welsch@reyar.de", comment = c(ORCID = "0000-0001-8904-1631")),
person("Berit", "Hunsdieck", role = "ctb"),
Imports: shiny, rmarkdown, data.table, readr, shinydisconnect, knitr,
kableExtra, car, DDoutlier, energy, corrplot, ggplot2,
Suggests: MASS, boot, nortest, lmtest, DescTools, psych, Hmisc,
semPlot, FactoMineR, FactoInvestigate, factoextra, rrcov,
methods, parallel, graphics, imputeMissings, onewaytests
SystemRequirements: For all functions resp. apps: pandoc, LaTeX. For
the edapy() function resp. Statsomat/EDAPY app: Python (>=3).
Description: Shiny apps for automated data analysis, annotated outputs and human-readable interpretation in natural language. Designed especially for learners and applied researchers. Currently available methods: EDA, EDA with Python, Correlation Analysis, Principal Components Analysis, Confirmatory Factor Analysis.
Packaged: 2021-09-16 09:54:24 UTC; Denise Welsch
Author: Denise Welsch [aut, cre] (<https://orcid.org/0000-0001-8904-1631>),

Packaged: 2021-11-17 10:58:38 UTC; Denise Welsch

Title: Semi-Parametric Stein-Like Estimator with Instrumental Variables
Description: Routines for computing different types of linear estimators, based on instrumental variables (IVs), including the semi-parametric Stein-like (SPS) estimator, originally introduced by Judge and Mittelhammer (2004)  <DOI:10.1198/016214504000000430>.

Title: Steiner approach for Biological Pathway Graph Analysis
Author: Afshin Sadeghi, Holger Froehlich
Depends: R (>= 2.0), igraph , RBGL , limma
Description: A set of graph functions writen in R to perform steiner
tree network data analysis on biological pathway data