prof: Profile values with constraints
In kralljr/stansa: Bayesian Source Apportionment Using RStan
Description
A dataset of PM2.5 constituent profiles for sources
in US EPA Region 3 from Ivey et al (2017). These are
matched to four simulation study types.
The variables are:
Format
A tibble with 281 rows and 6 variables
Details
poll. PM2.5 chemical constituent
source. Source name
val. Concentration of pollutant in source in mug/m^3
type. Simulation type (ambient, local1 - local4)
constraint. Constraint (0 or 1) for source apportionment
scale1. Profile value scaled to the constraint = 1 pollutant
...
kralljr/stansa documentation built on Dec. 21, 2021, 7:44 a.m.
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Description
A dataset of PM2.5 constituent profiles for sources in US EPA Region 3 from Ivey et al (2017). These are matched to four simulation study types. The variables are:
Format
A tibble with 281 rows and 6 variables
Details
poll. PM2.5 chemical constituent
source. Source name
val. Concentration of pollutant in source in mug/m^3
type. Simulation type (ambient, local1 - local4)
constraint. Constraint (0 or 1) for source apportionment
scale1. Profile value scaled to the constraint = 1 pollutant ...
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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