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LMN

Inference for Linear Models with Nuisance Parameters

v1.1.3 · Aug 22, 2022 · GPL-3

Description

Efficient Frequentist profiling and Bayesian marginalization of parameters for which the conditional likelihood is that of a multivariate linear regression model. Arbitrary inter-observation error correlations are supported, with optimized calculations provided for independent-heteroskedastic and stationary dependence structures.

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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
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r-release-windows-x86_64 OK
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NOTE r-oldrel-macos-arm64

installed package size

installed size is  8.0Mb
  sub-directories of 1Mb or more:
    libs   7.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  8.2Mb
  sub-directories of 1Mb or more:
    libs   7.7Mb

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  8.0Mb
  sub-directories of 1Mb or more:
    libs   7.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  8.2Mb
  sub-directories of 1Mb or more:
    libs   7.7Mb

Dependency Network

Dependencies Reverse dependencies Rcpp SuperGauss LMN

Version History

new 1.1.3 Mar 10, 2026
updated 1.1.3 ← 1.1.2 diff Aug 21, 2022
updated 1.1.2 ← 1.1.1 diff Feb 27, 2022
new 1.1.1 Feb 14, 2022