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Bayesian and Likelihood Analysis of Dynamic Linear Models

v1.1-6.1 · Sep 21, 2024 · GPL (>= 2)

Description

Provides routines for Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models.

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14 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 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 details (14 non-OK)
OK r-devel-linux-x86_64-debian-clang

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OK r-devel-linux-x86_64-debian-gcc

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OK r-devel-linux-x86_64-fedora-clang

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OK r-devel-macos-arm64

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OK r-oldrel-macos-arm64

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OK r-oldrel-macos-x86_64

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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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OK r-release-macos-arm64

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Reverse Dependencies (12)

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Dependency Network

Dependencies Reverse dependencies longitudinalANAL CureDepCens DepCens ExGaussEstim MfUSampler NTS RGAP TPMplt dlmwwbe fasster trendseries maxLik dlm

Version History

new 1.1-6.1 Mar 9, 2026