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fdaSP

Sparse Functional Data Analysis Methods

v1.1.1 · Oct 5, 2023 · GPL (>= 3)

Description

Provides algorithms to fit linear regression models under several popular penalization techniques and functional linear regression models based on Majorizing-Minimizing (MM) and Alternating Direction Method of Multipliers (ADMM) techniques. See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.

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r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (2 non-OK)
NOTE r-oldrel-macos-arm64

installed package size

installed size is 25.5Mb
  sub-directories of 1Mb or more:
    libs  25.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 25.2Mb
  sub-directories of 1Mb or more:
    libs  24.8Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is 25.5Mb
  sub-directories of 1Mb or more:
    libs  25.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 25.2Mb
  sub-directories of 1Mb or more:
    libs  24.8Mb

Dependency Network

Dependencies Reverse dependencies Rcpp Rdpack doParallel foreach ks pracma fdaSP

Version History

new 1.1.1 Mar 10, 2026
updated 1.1.1 ← 1.0 diff Oct 4, 2023
new 1.0 Sep 14, 2023