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andrew-bean authored Apr 18, 2024
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1 change: 1 addition & 0 deletions .github/.gitignore
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*.html
53 changes: 53 additions & 0 deletions .github/workflows/build-book.yaml
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# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
on: [push, pull_request]

name: build-book

jobs:
build-book:
runs-on: ubuntu-latest

name: build-book

env:
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}

steps:
- uses: actions/checkout@v3

- uses: r-lib/actions/setup-pandoc@v2

- uses: r-lib/actions/setup-r@v2
with:
r-version: 'release'

- name: Repos
run: |
cat("\noptions(repos=c(stan='https://mc-stan.org/r-packages/',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
shell: Rscript {0}

- uses: r-lib/actions/setup-r-dependencies@v2

- name: Install CmdStan
shell: Rscript {0}
run: |
cmdstanr::check_cmdstan_toolchain(fix = TRUE)
cmdstanr::install_cmdstan()
- uses: quarto-dev/quarto-actions/setup@v2

# - uses: quarto-dev/quarto-actions/render@v2
# with:
# to: html # If set, it will be equivalent to `quarto render --to html`

- name: build BAMDD book
run: make website QUARTO_PROFILE=public

- name: Deploy to GitHub pages 🚀
if: github.event_name != 'pull_request'
uses: JamesIves/github-pages-deploy-action@v4.4.1
with:
clean: false
branch: gh-pages
folder: docs/public
65 changes: 65 additions & 0 deletions DESCRIPTION
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Package: bamdd
Title: (Bayesian) Applied Modelling in Drug Development
Version: 0.0.0.9000
Authors@R:
c(
person("Sebastian", "Weber", , "sebastian.weber@novartis.com", role = c("aut", "cre")),
person("Björn", "Holzhauer", , "bjorn.holzhauer@novartis.com", role = "aut"),
person("Lukas", "Widmer", , "lukas.widmer@novartis.com", role = "aut"),
person("Andrew", "Bean", , "andrew.bean@novartis.com", role = "aut")
)
Description: Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms
License: `use_gpl3_license()`
Encoding: UTF-8
Imports:
bayesplot,
BOIN,
brms,
checkmate,
clustermq,
cmdstanr,
digest,
directlabels,
dplyr,
dqrng,
emmeans,
future,
GGally,
ggfortify,
ggplot2,
ggpubr,
ggrepel,
gt,
here,
knitr,
lme4,
MASS,
Matrix,
meta,
mmrm,
multinma,
mvtnorm,
nlme,
OncoBayes2,
parallel,
parallelly,
patchwork,
posterior,
prettyunits,
purrr,
RBesT,
readr,
rlang,
rmarkdown,
rstan,
scales,
simsurv,
stringr,
survival,
survminer,
tidybayes,
tidyr,
tidyverse,
utils,
vctrs,
viridis
12 changes: 11 additions & 1 deletion README.md
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Expand Up @@ -16,4 +16,14 @@ with the `brms` package.

- quarto
- cmdstanr and cmdstan (`cmdstanr::install_cmdstan()`)
- other R package dependencies `src/install_dependencies.R`
- other R package dependencies (see Imports under the dummy `DESCRIPTION` file)

## License

### Code

The code is licensed under GPL-2 ([LICENSE])

### Materials

The book itself is licensed under CC BY 4.0 ([docs/public/LICENSE])
2 changes: 1 addition & 1 deletion _quarto-public.yml
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Expand Up @@ -3,7 +3,7 @@ project:
post-render: src/move_videos.R # workaround for Quarto issue https://github.com/quarto-dev/quarto-cli/issues/3892

book:
repo-url: https://github.com/Novartis/RBesT/ # TO BE REPLACED
repo-url: https://github.com/Novartis/bamdd/
site-url: https://opensource.nibr.com/RBesT/ # TO BE REPLACED
chapters:
- index.qmd
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3 changes: 3 additions & 0 deletions _quarto.yml
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Expand Up @@ -34,6 +34,9 @@ bibliography:
format:
html:
theme: cosmo
# embedding of resources would be desirable to avoid using google fonts, but deno does not
# work nice with the company SSL certificate setup
embed-resources: false
# code-fold: true
code-tools: true
# code-summary: "Show the code"
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2 changes: 1 addition & 1 deletion bamdd_public.Rproj → bamdd.Rproj
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Expand Up @@ -12,4 +12,4 @@ Encoding: UTF-8
RnwWeave: Sweave
LaTeX: pdfLaTeX

BuildType: Makefile
BuildType: Makefile
80 changes: 80 additions & 0 deletions docs/public/LICENSE
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Copyright 2023 Novartis Pharma AG

Attribution 4.0 International
By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.

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Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public License.
Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
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7 changes: 7 additions & 0 deletions index.qmd
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Expand Up @@ -43,4 +43,11 @@ appropiate. Key changes to the web-site are tracked here:
:::


::: {.content-visible when-profile="public"}
## License information

- The material on this website is provided under a CC BY 4.0 [license](https://github.com/Novartis/bamdd/tree/main/docs/public/LICENSE)
- The source code is provided under a GPL-2 [license](https://github.com/Novartis/bamdd/tree/main/LICENSE)
:::


1 change: 0 additions & 1 deletion src/02_case_studies.qmd
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Expand Up @@ -16,7 +16,6 @@ overview <- dplyr::tribble(
"[Meta-analysis to estimate treatment effects](02ab_meta_analysis_trtdiff.qmd)", "aggregate data modeling & varying exposure times of count data",
"[Dose finding](02b_dose_finding.qmd)", "non-linear models",
"[Oncology dose escalation](02c_dose_escalation.qmd)", "constrained parameters",
"[Variable selection](02d_horseshoe.qmd)", "shrinkage priors & monotonic effects of ordinal variables",
"[Multiple imputation](02e_multiple_imputation.qmd)", "multi-variate outcome modeling",
"[Longitudinal data](02g_longitudinal.qmd)", "longitudinal modeling with different covariance structures (MMRM)",
"[Bayesian Mixed effects Model for Repeated Measures (MMRM)](02h_mmrm.qmd)", "unstructured MMRM for a continuous endpoint",
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Expand Up @@ -10,7 +10,7 @@ source(here::here("src", "setup.R"))
##knitr::opts_chunk$set(cache=FALSE)
```

{{< Include _macros.qmd >}}
{{< include _macros.qmd >}}

Here we will demonstrate the use of historical control data as an
example for a meta-analytic predictive (MAP) prior approach based on
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Expand Up @@ -63,4 +63,3 @@ if(length(missing_dependencies) > 0) {
install.packages(pkg)
}
}

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