Package: dma 1.4-0

dma: Dynamic Model Averaging

Dynamic model averaging for binary and continuous outcomes.

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

dma_1.4-0.tar.gz
dma_1.4-0.zip(r-4.5)dma_1.4-0.zip(r-4.4)dma_1.4-0.zip(r-4.3)
dma_1.4-0.tgz(r-4.4-any)dma_1.4-0.tgz(r-4.3-any)
dma_1.4-0.tar.gz(r-4.5-noble)dma_1.4-0.tar.gz(r-4.4-noble)
dma_1.4-0.tgz(r-4.4-emscripten)dma_1.4-0.tgz(r-4.3-emscripten)
dma.pdf |dma.html
dma/json (API)

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

Peer review:

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

On CRAN:

6 exports 6 stars 1.76 score 1 dependencies 3 mentions 6 scripts 215 downloads

Last updated 6 years agofrom:f412201b22. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winNOTESep 01 2024
R-4.5-linuxNOTESep 01 2024
R-4.4-winNOTESep 01 2024
R-4.4-macNOTESep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

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