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Variational Inference for Hierarchical Generalized Linear Models

v1.0.6 · Nov 7, 2024 · GPL (>= 2)

Description

Estimates hierarchical models using variational inference. At present, it can estimate logistic, linear, and negative binomial models. It can accommodate models with an arbitrary number of random effects and requires no integration to estimate. It also provides the ability to improve the quality of the approximation using marginal augmentation. Goplerud (2022) <doi:10.1214/21-BA1266> and Goplerud (2024) <doi:10.1017/S0003055423000035> provide details on the variational algorithms.

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r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
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r-oldrel-windows-x86_64 OK
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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   6.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   6.8Mb
OK r-oldrel-windows-x86_64

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OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   6.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   6.8Mb

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies Rcpp lme4 CholWishart mvtnorm Matrix lmtest mgcv autoMrP vglmer

Version History

new 1.0.6 Mar 9, 2026