Other packages > Find by keyword >

deal  

Learning Bayesian Networks with Mixed Variables
View on CRAN: Click here


Download and install deal package within the R console
Install from CRAN:
install.packages("deal")

Install from Github:
library("remotes")
install_github("cran/deal")

Install by package version:
library("remotes")
install_version("deal", "1.2-42")



Attach the package and use:
library("deal")
Maintained by
Claus Dethlefsen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2002-09-19
Latest Update: 2022-11-09
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), .
How to cite:
Claus Dethlefsen (2002). deal: Learning Bayesian Networks with Mixed Variables. R package version 1.2-42, https://cran.r-project.org/web/packages/deal. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0-20 (2002-09-19 21:53), 1.1-1 (2002-11-04 11:57), 1.1-2 (2002-11-08 16:55), 1.1-15 (2003-06-05 23:28), 1.2-3 (2003-09-02 17:56), 1.2-4 (2003-09-03 16:16), 1.2-6 (2004-01-14 08:11), 1.2-7 (2004-01-14 09:44), 1.2-8 (2004-04-05 15:48), 1.2-9 (2004-04-27 18:46), 1.2-17 (2004-08-05 13:24), 1.2-22 (2004-11-19 20:23), 1.2-25 (2005-05-04 18:31), 1.2-26 (2005-11-03 18:33), 1.2-27 (2006-04-09 22:40), 1.2-28 (2006-09-29 12:18), 1.2-29 (2007-04-19 16:13), 1.2-30 (2007-04-20 14:57), 1.2-31 (2008-12-04 16:46), 1.2-33 (2009-01-05 15:04), 1.2-34 (2011-11-02 18:25), 1.2-35 (2012-08-14 15:59), 1.2-37 (2013-01-28 17:47), 1.2-39 (2018-10-20 09:10)
Other packages that cited deal R package
View deal citation profile
Other R packages that deal depends, imports, suggests or enhances
Complete documentation for deal
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA