Other packages > Find by keyword >

mcmcabn  

Flexible Implementation of a Structural MCMC Sampler for DAGs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mcmcabn", "0.6")



Attach the package and use:
library("mcmcabn")
Maintained by
Annina Cincera
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-08
Latest Update: 2023-12-22
Description:
Flexible implementation of a structural MCMC sampler for Directed Acyclic Graphs (DAGs). It supports the new edge reversal move from Grzegorczyk and Husmeier (2008) and the Markov blanket resampling from Su and Borsuk (2016) . It supports three priors: a prior controlling for structure complexity from Koivisto and Sood (2004) , an uninformative prior and a user-defined prior. The three main problems that can be addressed by this R package are selecting the most probable structure based on a cache of pre-computed scores, controlling for overfitting, and sampling the landscape of high scoring structures. It allows us to quantify the marginal impact of relationships of interest by marginalizing out over structures or nuisance dependencies. Structural MCMC seems an elegant and natural way to estimate the true marginal impact, so one can determine if it's magnitude is big enough to consider as a worthwhile intervention.
How to cite:
Annina Cincera (2019). mcmcabn: Flexible Implementation of a Structural MCMC Sampler for DAGs. R package version 0.6, https://cran.r-project.org/web/packages/mcmcabn. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1 (2019-03-08 18:10), 0.2 (2019-07-01 21:00), 0.3 (2020-03-02 20:50), 0.4 (2021-06-02 08:10), 0.5 (2022-11-19 00:30), 0.6 (2023-09-28 14:20)
Other packages that cited mcmcabn R package
View mcmcabn citation profile
Other R packages that mcmcabn depends, imports, suggests or enhances
Functions, R codes and Examples using the mcmcabn R package
Some associated functions: CoupledHeatedmcmcabn . abnCache_asia . dist-asia . mcmc . mcmc_asia . mcmcabn-package . plot . print-summary . print . query . summary . 
Some associated R codes: MBR.R . REV.R . mc3.R . mcmc-heated.R . mcmc.R . mcmcabn-utiles.R . plot-mcmcabn.R . print-mcmcabn.R . print-summary-mcmcabn.R . query.R . summary-mcmcabn.R .  Full mcmcabn package functions and examples
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

batteryreduction  
An R Package for Data Reduction by Battery Reduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency  
condGEE  
Parameter Estimation in Conditional GEE for Recurrent Event Gap Times
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency  
CIFsmry  
Weighted summary of cumulative incidence functions
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency  
SEIRfansy  
Extended Susceptible-Exposed-Infected-Recovery Model
Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
helda  
Preprocess Data and Get Better Insights from Machine Learning Models
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
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