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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: 2022-06-17
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 23 Apr. 2025.
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)
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