DESCRIPTION

Package: ANTsR
Type: Package
Title: ANTs in R: Quantification Tools for Biomedical Images
Version: 0.6.1
Date: 2024-03-23
Authors@R: c(
    person(c("Brian", "B"), "Avants", role = c("aut", "cre"), email = "stnava@gmail.com"),
    person(c("Benjamin", "M"), "Kandel", role = "ctb"),
    person(c("Jeff", "T"), "Duda", role = "ctb"),
    person(c("Philip", "A"), "Cook", role = "ctb"),
    person(c("Nicholas", "J"), "Tustison", role = "ctb"),
    person(c("Dorian"), "Pustina", role = "ctb")
    )
Maintainer: Brian B. Avants <stnava@gmail.com>
Description: ANTsR interfaces state of the art image processing with R
    statistical methods. The project grew out of the need, at University of
    Pennsylvania, to develop large-scale analytics pipelines that track provenance
    from scanner to scientific study. ANTsR wraps an ANTs and ITK C++ core via Rcpp
    to access these frameworks from within R and support reproducible analyses.
    Specialized functionality in ANTsR includes image segmentation and
    registration along imaging specific variations of principal component
    and canonical correlation analysis.
License: Apache License 2.0
LazyLoad: yes
Depends:
    R (>= 3.0),
    methods
Imports:
    ANTsRCore (>= 0.8.1),
    dplyr,
    graphics,
    grDevices,
    magrittr,
    stats,
    stringr,
    utils,
    rsvd
Suggests:
    colormap,
    magic,
    abind,
    BGLR,
    caret,
    cluster,
    corpcor,
    dplyr,
    e1071,
    fastICA,
    fpc,
    GGally,
    ggplot2,
    glasso,
    ggpubr,
    ggdendro,
    grid,
    igraph,
    irlba,
    knitr,
    MASS,
    Matrix,
    mFilter,
    moments,
    patchwork,
    pixmap,
    png,
    pbapply,
    pracma,
    randomForest,
    RcppEigen,
    RcppHNSW,
    rgl,
    rmarkdown,
    robust,
    robustbase,
    signal,
    sna,
    testthat,
    tools,
    tsne,
    viridis,
    xgboost,
    FNN
LazyData: TRUE
Remotes: ANTsX/ANTsRCore
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Encoding: UTF-8