deal
Learning Bayesian Networks with Mixed Variables
Description
Bayesian networks with continuous and/or discrete variables can be learned and compared from data. The method is described in Boettcher and Dethlefsen (2003), <doi:10.18637/jss.v008.i20>.
Downloads
488
Last 30 days
7732nd
1.1K
Last 90 days
5.5K
Last year
Trend: +68.3% (30d vs prior 30d)
25
Last 30 days
118
Last 90 days
412
Last year
Trend: -35.9% (30d vs prior 30d)
6
Last 7 days
10
Last 30 days
1
All-time
autoCRAN-only: this name is served only by autoCRAN, so the count is exact.
CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (2 non-OK)
CRAN incoming feasibility
Maintainer: ‘Claus Dethlefsen <rpackage.deal@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Susanne", "Gammelgaard"),
family = "Bottcher",
role = "aut"),
person(given = "Claus",
family = "Dethlefsen.",
role = "aut"),
person(given = "Claus",
family = "Dethlefsen",
role = "cre",
email = "rpackage.deal@gmail.com"))
as necessary.
CRAN incoming feasibility
Maintainer: ‘Claus Dethlefsen <rpackage.deal@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Susanne", "Gammelgaard"),
family = "Bottcher",
role = "aut"),
person(given = "Claus",
family = "Dethlefsen.",
role = "aut"),
person(given = "Claus",
family = "Dethlefsen",
role = "cre",
email = "rpackage.deal@gmail.com"))
as necessary.
Check History
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
CRAN incoming feasibility
Maintainer: ‘Claus Dethlefsen <rpackage.deal@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Susanne", "Gammelgaard"),
family = "Bottcher",
role =
...[truncated]...
mily = "Dethlefsen.",
role = "aut"),
person(given = "Claus",
family = "Dethlefsen",
role = "cre",
email = "rpackage.deal@gmail.com"))
as necessary.
CRAN incoming feasibility
Maintainer: ‘Claus Dethlefsen <rpackage.deal@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Susanne", "Gammelgaard"),
family = "Bottcher",
role =
...[truncated]...
mily = "Dethlefsen.",
role = "aut"),
person(given = "Claus",
family = "Dethlefsen",
role = "cre",
email = "rpackage.deal@gmail.com"))
as necessary.
Code
Structure
Lines of code
7,420
Files
73
Compiled share
8.8%
Has compiled src
Yes
Language breakdown
API
Exported functions
78
Internal functions
3
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
76.2%
\dontrun example ratio
0%
Roxygen coverage
100%
Has pkgdown
No
NEWS present
No
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
–
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.0.0
System requirements
–
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
25
First release
2002-01-05
Latest release
2022-11-09
Avg cadence
93 days
Cold removal rate
100%
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/cran-code-metrics.