RMLPCA
Maximum Likelihood Principal Component Analysis
v0.0.1
·
Nov 5, 2020
·
MIT + file LICENSE
Description
R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009) <doi:10.1016/B978-0-444-64165-6.03029-9>.
Downloads
CRAN
204
Last 30 days
21678th
593
Last 90 days
2.1K
Last year
Trend: +38.8% (30d vs prior 30d)
r2u
CRAN
10
Last 30 days
24
Last 90 days
98
Last year
Trend: -28.6% (30d vs prior 30d)
CRAN Check Status
13
OK
Show all 13 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-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
Version History
1 tracked
new
0.0.1
Mar 10, 2026
R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Nov 5, 2020. Releases before tracking aren’t shown.