Graphical lasso: estimation of gaussian graphical models
Estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. Facilities are provided for estimates along a path of values for the regularization parameter.
Estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. Facilities are provided for estimates along a path of values for the regularization parameter.
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Version: 1.11
License: GPL-2GitHub
Maintainers
barracuda156
Categories
science
math
R
Homepage
https://cran.r-project.org/package=glasso
Platforms
darwin
Variants
clang10
(Build using the MacPorts clang 10 compiler)
clang11
(Build using the MacPorts clang 11 compiler)
clang12
(Build using the MacPorts clang 12 compiler)
clang13
(Build using the MacPorts clang 13 compiler)
clang14
(Build using the MacPorts clang 14 compiler)
clang15
(Build using the MacPorts clang 15 compiler)
clang16
(Build using the MacPorts clang 16 compiler)
clang50
(Build using the MacPorts clang 5.0 compiler)
clang60
(Build using the MacPorts clang 6.0 compiler)
clang70
(Build using the MacPorts clang 7.0 compiler)
clang80
(Build using the MacPorts clang 8.0 compiler)
clang90
(Build using the MacPorts clang 9.0 compiler)
clangdevel
(Build using the MacPorts clang devel compiler)
g95
(Build using the g95 Fortran compiler)
gcc10
(Build using the MacPorts gcc 10 compiler)
gcc11
(Build using the MacPorts gcc 11 compiler)
gcc12
(Build using the MacPorts gcc 12 compiler)
gcc13
(Build using the MacPorts gcc 13 compiler)
gccdevel
(Build using the MacPorts gcc devel compiler)
gfortran
(Build using the MacPorts gcc 13 Fortran compiler)
"R-glasso" depends on
lib (2) run (1) build (3) Ports that depend on "R-glasso"
lib (8)
test (1)
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