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-4.5)flam_3.2.zip(r-4.4)flam_3.2.zip(r-4.3)
flam_3.2.tgz(r-4.5-x86_64)flam_3.2.tgz(r-4.5-arm64)flam_3.2.tgz(r-4.4-x86_64)flam_3.2.tgz(r-4.4-arm64)flam_3.2.tgz(r-4.3-x86_64)flam_3.2.tgz(r-4.3-arm64)
flam_3.2.tar.gz(r-4.5-noble)flam_3.2.tar.gz(r-4.4-noble)
flam_3.2.tgz(r-4.4-emscripten)flam_3.2.tgz(r-4.3-emscripten)
flam.pdf |flam.html✨
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 240 downloads 4 exports 2 dependencies

Last updated 7 years agofrom:bca2afc94e. Checks:4 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-win-x86_64NOTEMar 05 2025
R-4.5-mac-x86_64NOTEMar 05 2025
R-4.5-mac-aarch64NOTEMar 05 2025
R-4.5-linux-x86_64NOTEMar 05 2025
R-4.4-win-x86_64NOTEMar 05 2025
R-4.4-mac-x86_64NOTEMar 05 2025
R-4.4-mac-aarch64NOTEMar 05 2025
R-4.4-linux-x86_64NOTEMar 05 2025
R-4.3-win-x86_64OKMar 05 2025
R-4.3-mac-x86_64OKMar 05 2025
R-4.3-mac-aarch64OKMar 05 2025

Exports:flamflamCVflamDOFsim.data

Dependencies:MASSRcpp