Package: aaltobda 0.3.2
aaltobda: Functionality and Data for the Aalto Course on Bayesian Data Analysis
Functionality and Data for the Aalto University Course on Bayesian Data Analysis.
Authors:
aaltobda_0.3.2.tar.gz
aaltobda_0.3.2.zip(r-4.7)aaltobda_0.3.2.zip(r-4.6)aaltobda_0.3.2.zip(r-4.5)
aaltobda_0.3.2.tgz(r-4.6-any)aaltobda_0.3.2.tgz(r-4.5-any)
aaltobda_0.3.2.tar.gz(r-4.7-any)aaltobda_0.3.2.tar.gz(r-4.6-any)
aaltobda_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
aaltobda/json (API)
| # Install 'aaltobda' in R: |
| install.packages('aaltobda', repos = c('https://avehtari.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/avehtari/bda_course_aalto/issues
Datasets:
- algae - Algae
- bioassay - Bioassay
- bioassay_posterior - Bioassay_posterior
- drowning - Drowning
- factory - Factory
- kilpisjarvi - Kilpisjarvi
- kilpisjarvi2022 - Kilpisjarvi2022
- windshieldy1 - Windshieldy1
- windshieldy2 - Windshieldy2
bayesbayesianbayesian-data-analysisbayesian-inferencebayesian-methodsbayesian-workflow
Last updated from:b053fe951e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 199 | ||
| linux-release-x86_64 | OK | 125 | ||
| macos-release-arm64 | OK | 101 | ||
| macos-oldrel-arm64 | OK | 72 | ||
| windows-devel | OK | 108 | ||
| windows-release | OK | 96 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 93 |
Exports:bioassaylpdmvnormdtnewlog_inv_logitlog1m_inv_logitmcse_quantileptnewqtnewrmvnormrtnew
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| algae | algae |
| bioassay | bioassay |
| bioassay_posterior | bioassay_posterior |
| Unnormalized log-posterior for bioassay, assuming uniform prior | bioassaylp |
| Computes the density of a multivariate normal distribution | dmvnorm |
| drowning | drowning |
| factory | factory |
| kilpisjarvi | kilpisjarvi |
| kilpisjarvi2022 | kilpisjarvi2022 |
| Implementation of log(1 / (1 + exp(-x))) robust to over- and under-flow | log_inv_logit |
| Implementation of log(1 - 1 / (1 + exp(-x))) robust to over- and under-flow | log1m_inv_logit |
| Computes MCSE for quantile estimates based on independent draws | mcse_quantile |
| Produces random draws from a multivariate normal distribution | rmvnorm |
| The Student-t Distribution | dtnew ptnew qtnew rtnew StudentT |
| windshieldy1 | windshieldy1 |
| windshieldy2 | windshieldy2 |
