Skip to content

SpatMCA

Regularized Spatial Maximum Covariance Analysis

v1.0.7 · Sep 29, 2025 · GPL (>= 2)

Description

Provide regularized maximum covariance analysis incorporating smoothness, sparseness and orthogonality of couple patterns by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D (Wang and Huang, 2018 <doi:10.1002/env.2481>).

Downloads

195

Last 30 days

22692nd

536

Last 90 days

2.1K

Last year

Trend: +4.3% (30d vs prior 30d)

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
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 OK
r-oldrel-macos-x86_64 OK
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 History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp MASS ggplot2 scales SpatMCA

Version History

new 1.0.7 Mar 10, 2026
updated 1.0.7 ← 1.0.4 diff Sep 28, 2025
updated 1.0.4 ← 1.0.2.0 diff Nov 20, 2023
updated 1.0.2.0 ← 1.0.1.0 diff Jan 15, 2021
updated 1.0.1.0 ← 1.0.0.2 diff Apr 1, 2018
updated 1.0.0.2 ← 1.0.0.1 diff Mar 17, 2017
updated 1.0.0.1 ← 1.0.0.0 diff Jun 3, 2016
new 1.0.0.0 May 18, 2016