Imports: spatstat, reshape2, methods, Rcpp
Suggests: testthat, knitr, rmarkdown, viridis, devtools
Packaged: 2016-05-04 07:22:28 UTC; jnkcarlson

Title: 'Radiomic' Image Processing Toolbox
Suggests: testthat, knitr, rmarkdown, viridis, devtools, roxygen2
Packaged: 2018-03-29 22:45:12 UTC; johnmuschelli

Title: Inverse-Regression Estimation of Radioactive Doses
Description: Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015). A new inverse regression model applied to radiation biodosimetry. Proceedings of the Royal Society A, 471.

Author: David Moriña (Catalan Institute of Oncology), Manuel Higueras (Newcastle University) and Pedro Puig (Universitat Autònoma de Barcelona)
Description: Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015) <DOI:10.1098/rspa.2014.0588>.

Author: David Moriña (Barcelona Graduate School of Mathematics), Manuel Higueras (Basque Center for Applied Mathematics) and Pedro Puig (Universitat Autònoma de Barcelona)
Description: Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015) <doi:10.1088/0952-4746/35/3/557>.

Description: Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015). A new inverse regression model applied to radiation biodosimetry. Proceedings of the Royal Society A, 471

Description: Scientific and technical article format for the web. 'Radix' articles
Imports: utils, stats, tools, rmarkdown (>= 1.10), htmltools, jsonlite
(>= 1.3), lubridate, png, mime, rstudioapi, rprojroot, xml2,
base64enc, whisker, downloader, progress, stringr, knitr (>=
Packaged: 2018-09-17 13:54:10 UTC; jjallaire

Packaged: 2018-12-09 12:00:15 UTC; jjallaire

Title: Replicability Adjusted p-Values for Two Independent Studies with
person("Shay", "Yaacoby", email = "shay66@gmail.com", role = "aut"),
person("Marina", "Bogomolov", email = "marinabo@technion.ac.il", role = "aut"),
person("Ruth", "Heller", email = "ruheller@gmail.com", role =  c("aut", "cre")))
Description: Calculates adjusted p-values for the null hypothesis of no replicability
across studies for two study designs: (i) a primary and follow-up study, where the features in the follow-up study
are selected from the primary study, as described in Bogomolov and Heller (2013) <doi:10.1080/01621459.2013.829002> and Heller, Bogomolov and Benjamini (2014) <doi:10.1073/pnas.1314814111>;
(ii) two independent studies, where the features for replicability are first
selected in each study separately, as described in Bogomolov and Heller (2018) <doi:10.1093/biomet/asy029>.
The latter design is the one encountered in a typical meta-analysis of
two studies, but the inference is for replicability rather than for identifying the features that are non-null