Package: dma 1.4-2

dma: Dynamic Model Averaging

Dynamic model averaging for binary and continuous outcomes.

Authors:Tyler H. McCormick [aut], Adrian Raftery [aut], David Madigan [aut], Sevvandi Kandanaarachchi [ctb, aut], Hana Sevcikova [ctb, aut, cre]

dma_1.4-2.tar.gz
dma_1.4-2.zip(r-4.7)dma_1.4-2.zip(r-4.6)dma_1.4-2.zip(r-4.5)
dma_1.4-2.tgz(r-4.6-any)dma_1.4-2.tgz(r-4.5-any)
dma_1.4-2.tar.gz(r-4.7-any)dma_1.4-2.tar.gz(r-4.6-any)
dma_1.4-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dma/json (API)

# Install 'dma' in R:
install.packages('dma', repos = c('https://hanase.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hanase/dma/issues

On CRAN:

Conda:

4.26 score 6 stars 10 scripts 243 downloads 3 mentions 6 exports 1 dependencies

Last updated from:d9d255c459. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK161
linux-release-x86_64OK108
macos-release-arm64OK132
macos-oldrel-arm64OK95
windows-develOK83
windows-releaseOK68
windows-oldrelOK75
wasm-releaseOK138

Exports:dmalogdma.averagelogdma.initlogdma.predictlogdma.updatelogistic.dma

Dependencies:MASS

Readme and manuals

Help Manual

Help pageTopics
Dynamic model averagingdma-package
Dynamic model averaging for continuous outcomescoef.dma dma dma.default makf4 model.update3 plot.dma print.dma rm.Kalman
Dynamic model averaging for binary outcomesdlogr.init dlogr.predict dlogr.step laplace.fn logdma.average logdma.init logdma.predict logdma.update logistic.dma logistic.dma.default plot.logistic.dma print.logistic.dma tunemat.fn