Other packages > Find by keyword >

BayesMassBal  

Bayesian Data Reconciliation of Separation Processes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesMassBal", "1.1.0")



Attach the package and use:
library("BayesMassBal")
Maintained by
Scott Koermer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-07
Latest Update:
Description:
Bayesian tools that can be used to reconcile, or mass balance, mass flow rate data collected from chemical or particulate separation processes aided by constraints governed by the conservation of mass. Functions included in the package aid the user in organizing and constraining data, using Markov chain Monte Carlo methods to obtain samples from Bayesian models, and in computation of the marginal likelihood of the data, given a particular model, for model selection. Marginal likelihood is approximated by methods in Chib S (1995) .
How to cite:
Scott Koermer (2020). BayesMassBal: Bayesian Data Reconciliation of Separation Processes. R package version 1.1.0, https://cran.r-project.org/web/packages/BayesMassBal. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.2.0 (2020-07-07 11:00), 1.0.0 (2020-11-09 17:30), 1.1.0 (2022-06-18 00:20)
Other packages that cited BayesMassBal R package
View BayesMassBal citation profile
Other R packages that BayesMassBal depends, imports, suggests or enhances
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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