MCMCsa: Bayesian source apportionment model
In kralljr/MCMCsa: Performs Bayesian source apportionment for PM data
Description
Details
References
Description
Estimates sources of particulate matter (PM) air pollution using
chemical constituent concentrations of PM. The model is developed
using Nikolov et al. 2008 and Hackstadt and Peng 2014.
Details
To estimate sources, users need data from an ambient monitor, which is
a matrix of days by number of chemical constituents. Then, users apply
the function mcmcsa to the data, specifying the number
of sources and necessary conditions for identifiability.
References
Margaret C. Nikolov, Brent A. Coull, Paul J. Catalano, et al.
Statistical methods to evaluate health effects associated with
major sources of air pollution: a case-study of breathing
patterns during exposure to concentrated Boston air
particles, 57(3) 357-378.
Amber J. Hackstadt and Roger D. Peng (2014). Environmetrics.
A Bayesian multivariate receptor model for estimating source contributions
to particulate matter pollution using national databases, 25(7) 513-527.
kralljr/MCMCsa documentation built on May 20, 2019, 1:13 p.m.
R Package Documentation
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Description Details References
Description
Estimates sources of particulate matter (PM) air pollution using chemical constituent concentrations of PM. The model is developed using Nikolov et al. 2008 and Hackstadt and Peng 2014.
Details
To estimate sources, users need data from an ambient monitor, which is
a matrix of days by number of chemical constituents. Then, users apply
the function mcmcsa to the data, specifying the number
of sources and necessary conditions for identifiability.
References
Margaret C. Nikolov, Brent A. Coull, Paul J. Catalano, et al. Statistical methods to evaluate health effects associated with major sources of air pollution: a case-study of breathing patterns during exposure to concentrated Boston air particles, 57(3) 357-378.
Amber J. Hackstadt and Roger D. Peng (2014). Environmetrics. A Bayesian multivariate receptor model for estimating source contributions to particulate matter pollution using national databases, 25(7) 513-527.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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