Package: flam 3.2

flam: Fits Piecewise Constant Models with Data-Adaptive Knots

Implements the fused lasso additive model as proposed in Petersen, A., Witten, D., and Simon, N. (2016). Fused Lasso Additive Model. Journal of Computational and Graphical Statistics, 25(4): 1005-1025.

Authors:Ashley Petersen

flam_3.2.tar.gz
flam_3.2.zip(r-4.7)flam_3.2.zip(r-4.6)flam_3.2.zip(r-4.5)
flam_3.2.tgz(r-4.6-x86_64)flam_3.2.tgz(r-4.6-arm64)flam_3.2.tgz(r-4.5-x86_64)flam_3.2.tgz(r-4.5-arm64)
flam_3.2.tar.gz(r-4.7-arm64)flam_3.2.tar.gz(r-4.7-x86_64)flam_3.2.tar.gz(r-4.6-arm64)flam_3.2.tar.gz(r-4.6-x86_64)
flam_3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
flam/json (API)

# Install 'flam' in R:
install.packages('flam', repos = c('https://ajpete.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.04 score 1 stars 11 scripts 223 downloads 4 exports 2 dependencies

Last updated from:bca2afc94e. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE126
linux-devel-x86_64NOTE122
source / vignettesOK154
linux-release-arm64NOTE116
linux-release-x86_64NOTE106
macos-release-arm64NOTE75
macos-release-x86_64NOTE222
macos-oldrel-arm64NOTE74
macos-oldrel-x86_64NOTE226
windows-develNOTE98
windows-releaseNOTE94
windows-oldrelNOTE95
wasm-releaseOK91

Exports:flamflamCVflamDOFsim.data

Dependencies:MASSRcpp