Package: mripredict
Type: Package
Title: MRIPredict
Version: 1.1.1
Date: 2021-01-23
Authors@R: c(
    person("Joaquim", "Radua", role = c("aut"),
            email = "radua@recerca.clinic.cat",
            comment = c(ORCID = "0000-0003-1240-5438")),
    person("Aleix", "Solanes", role = c("aut", "cre"),
            email = "solanes@recerca.clinic.cat",
            comment = c(ORCID = "0000-0002-2491-200X")))
Maintainer: Aleix Solanes <solanes@recerca.clinic.cat>
Description: This package provides easy access to glmnet-based Lasso regression for sMRI images. This package let perform three main kind of predictions based on outcome: binary outcome, continuous outcome and risk-estimation using COX proportional hazards regression. For more information on the methods and algorithms used in this package, see the following publication:Solanes A, Mezquida G, Janssen J, Amoretti S, Lobo A, Gonzalez-Pinto A, Arango C, Vieta E, Castro-Fornieles J, Berge D, Albacete A, Giné E, Parellada M, Bernardo M; PEPs group (collaborators); Pomarol-Clotet E, Radua J. Combining MRI and clinical data to detect high relapse risk after the first episode of psychosis. Schizophrenia (Heidelb). 2022 Nov 17;8(1):100. doi: 10.1038/s41537-022-00309-w. PMID: 36396933; PMCID: PMC9672064.
License: GPL-3
Depends: R (>= 3.5.0)
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
RoxygenNote: 7.2.2
Imports: glmnet, oro.nifti, survival, doParallel, logistf, doSNOW,
        snow, pbapply, foreach, parallel, shiny
NeedsCompilation: no
Packaged: 2023-02-14 06:37:15 UTC; alsol
Author: Joaquim Radua [aut] (<https://orcid.org/0000-0003-1240-5438>),
  Aleix Solanes [aut, cre] (<https://orcid.org/0000-0002-2491-200X>)
