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Package: ANTsR
Type: Package
Title: ANTs in R: Quantification Tools for Biomedical Images
Version: 0.4.4.1
Date: 2018-07-11
Authors@R: c(
person(c("Brian", "B"), "Avants", role = c("aut", "cre"), email = "stnava@gmail.com"),
person(c("Benjamin", "M"), "Kandel", role = "ctb", email = "NA"),
person(c("Jeff", "T"), "Duda", role = "ctb", email = "NA"),
person(c("Philip", "A"), "Cook", role = "ctb", email = "NA"),
person(c("Nicholas", "J"), "Tustison", role = "ctb", email = "NA")
)
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,
ANTsRCore (>= 0.5.5)
Imports:
graphics,
grDevices,
magic,
magrittr,
psych,
rsvd,
stats,
utils
Suggests:
abind,
BGLR,
caret,
cluster,
corpcor,
DMwR,
dplyr,
e1071,
extremevalues,
fastICA,
fpc,
ggplot2,
glasso,
glmnet,
grid,
h5,
igraph,
irlba,
knitr,
MASS,
Matrix,
mFilter,
misc3d,
moments,
nabor,
networkD3,
pixmap,
png,
pracma,
randomForest,
R.matlab,
RANN,
Rcpp,
RcppEigen,
RSpectra,
rflann,
rgl,
rmarkdown,
robust,
robustbase,
signal,
sna,
testthat,
tools,
viridis,
visreg,
wmtsa,
xgboost
LazyData: TRUE
LinkingTo: Rcpp, ITKR, ANTsRCore
SystemRequirements: cmake, git, clang
Remotes: stnava/ITKR, stnava/ANTsRCore
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 6.0.1.9000
Encoding: UTF-8