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lmmprobe

Sparse High-Dimensional Linear Mixed Modeling with a Partitioned Empirical Bayes ECM Algorithm

v0.1.0 · Mar 12, 2026 · GPL (>= 2)
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Description

Implements a partitioned Empirical Bayes Expectation Conditional Maximization (ECM) algorithm for sparse high-dimensional linear mixed modeling as described in Zgodic, Bai, Zhang, and McLain (2025) <doi:10.1007/s11222-025-10649-z>. The package provides efficient estimation and inference for mixed models with high-dimensional fixed effects.

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CRAN Check Status

2 NOTE
12 OK
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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 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  5.6Mb
  sub-directories of 1Mb or more:
    data   1.1Mb
    libs   4.3Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.8Mb
  sub-directories of 1Mb or more:
    data   1.1Mb
    libs   4.5Mb

Check History

NOTE 8 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 13, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  5.6Mb
  sub-directories of 1Mb or more:
    data   1.1Mb
    libs   4.3Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.8Mb
  sub-directories of 1Mb or more:
    data   1.1Mb
    libs   4.5Mb
OK 2 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 12, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp lme4 future.apply lmmprobe

Version History

new 0.1.0 Mar 12, 2026