Imports: dplyr, tidytext, stringr, stats, utils, magrittr
Suggests: dm, purrr, knitr, rmarkdown, conflicted, readr, rvest, sqldf,
Packaged: 2021-05-12 17:28:05 UTC; gabrielodom

Imports: dplyr, magrittr, stats, stringr, tibble, tidytext, utils
Suggests: purrr, knitr, rmarkdown, conflicted, readr, rvest, sqldf,

Description: Contains data sets, examples and software from the book Design of Observational Studies by Paul R. Rosenbaum, New York: Springer, <doi:10.1007/978-1-4419-1213-8>, ISBN 978-1-4419-1212-1.
Packaged: 2018-08-27 13:57:14 UTC; Rosenbaum

Title: Design of Observational Studies, Companion to the Second Edition
Description: Contains data sets, examples and software from the Second Edition of "Design of Observational Studies"; see Rosenbaum, P.R. (2010)  <doi:10.1007/978-1-4419-1213-8>.
Imports: stats, MASS, sensitivity2x2xk, graphics, sensitivitymult,

Title: Dynamic Optimal Shrinkage Portfolio
Author: Taras Bodnar [aut] (<https://orcid.org/0000-0001-7855-8221>),
Constructs dynamic optimal shrinkage estimators for the weights of the global
minimum variance portfolio which are reconstructed at given reallocation
points as derived in Bodnar, Parolya, and Thorsén (2021) (<arXiv:2106.02131>).
Two dynamic shrinkage estimators are available in this package. One using
overlapping samples while the other use nonoverlapping samples.
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), HDShOP

Title: Computation of functional similarities between DO terms and gene
products; DO enrichment analysis;Disease Ontology annotation
Description: This package implements several functions useful for
computing similarities between DO terms and gene products based
on their DO annotation. Moreover it allows for computing a DO
enrichment analysis and provide basic disease ontology

Title: Disease Analysis toolkit for gene set; Computation of
similarities between DO terms and disease similarity between
gene products; DO enrichment analysis; Disease Ontology
computing similarities between DO terms and gene products.
Moreover it allows for conducting DO enrichment analysis and
provide basic disease ontology annotation.