Skip to content

Actions: gregorkastner/BayesianLearningCode

Actions

pkgdown.yaml

Actions

Loading...
Loading

Show workflow options

Create status badge

Loading
pkgdown.yaml
363 workflow runs
363 workflow runs

Filter by Event

⌥ + click/return to exclude

Filter by Status

⌥ + click/return to exclude

Filter by Branch

⌥ + click/return to exclude

Filter by Actor

⌥ + click/return to exclude
non-Gaussian error example with Student-t and fixed df added pkgdown.yaml #401: Commit 1669eef pushed by bettinagruen
15m 22s main
main
15m 22s
changed names for PDFs pkgdown.yaml #400: Commit 66dbd2b pushed by bettinagruen
30m 3s main
main
30m 3s
typos fixed pkgdown.yaml #399: Commit 7263ab1 pushed by bettinagruen
15m 47s main
main
15m 47s
minor textual changes in Example 8.8 pkgdown.yaml #398: Commit 7101a4c pushed by HWagn
15m 36s main
main
15m 36s
example 8.8 redone pkgdown.yaml #397: Commit 752fc5b pushed by HWagn
16m 50s main
main
16m 50s
Merge branch 'main' of https://github.com/gregorkastner/BayesianLearn… pkgdown.yaml #396: Commit c705914 pushed by HWagn
15m 23s main
main
15m 23s
stylistic changes pkgdown.yaml #395: Commit 5b17bea pushed by bettinagruen
15m 24s main
main
15m 24s
test pkgdown.yaml #394: Commit 4d26b96 pushed by HWagn
15m 36s main
main
15m 36s
evaluate MCMC samplers pkgdown.yaml #393: Commit 213457f pushed by HWagn
15m 44s main
main
15m 44s
Negative binomial model: cosmetic chenges pkgdown.yaml #392: Commit 7b39f0a pushed by HWagn
12m 50s main
main
12m 50s
Adding exposures to Negbin sampler pkgdown.yaml #391: Commit e8667ab pushed by HWagn
10m 57s main
main
10m 57s
Poisson: Model with seasonal effects pkgdown.yaml #390: Commit 891656f pushed by HWagn
11m 32s main
main
11m 32s
Adaption Poisson proposal pkgdown.yaml #389: Commit d5b35d1 pushed by HWagn
12m 46s main
main
12m 46s
logBFs for different priors pkgdown.yaml #388: Commit 634d839 pushed by gregorkastner
12m 17s main
main
12m 17s
SD mortality rate illustration pkgdown.yaml #387: Commit 5b8c33a pushed by gregorkastner
12m 5s main
main
12m 5s
Savage-Dickey visualization of heterogeneity test pkgdown.yaml #386: Commit 31b80fb pushed by gregorkastner
12m 5s main
main
12m 5s
Visualization of Savage-Dickey density ratio pkgdown.yaml #385: Commit d9cae5b pushed by gregorkastner
11m 57s main
main
11m 57s
Merge branch 'main' of github.com:gregorkastner/BayesianLearningCode pkgdown.yaml #384: Commit a0b6ae2 pushed by gregorkastner
11m 47s main
main
11m 47s
stylistic changes pkgdown.yaml #383: Commit e59b5fc pushed by bettinagruen
12m 17s main
main
12m 17s
Minor change logit model pkgdown.yaml #382: Commit 92aba9e pushed by HWagn
10m 40s main
main
10m 40s
negative binomial with unknown second parameter pkgdown.yaml #381: Commit 56f5b45 pushed by gregorkastner
10m 32s main
main
10m 32s
update prior hyperparameters pkgdown.yaml #380: Commit f286068 pushed by gregorkastner
11m 49s main
main
11m 49s
improved numerical integration a bit pkgdown.yaml #379: Commit b868118 pushed by gregorkastner
11m 55s main
main
11m 55s
compute model probabilities pkgdown.yaml #378: Commit ee46fab pushed by gregorkastner
12m 3s main
main
12m 3s
Testing for structural break in the road safety data pkgdown.yaml #377: Commit 11b7cf3 pushed by gregorkastner
11m 55s main
main
11m 55s