Conveniently construct a set of parameters for use in mqor functions
mqo_params.Rd
This is a convenience function for assembling complete sets of parameters for
use across mqor
. It allows parameter sets to be simply re-used across
functions. This function simply returns an R list which is indexed by
mqor
functions, meaning that users could construct the themselves, or even
pass a row of a dataframe in its stead.
Arguments
- rv
Reference value. A numeric value, used to define the relationship between measurement uncertainty and concentration level, for each pollutant and time aggregation.
rv
is expressed in the same units as the concentration of the pollutant.- u_rv
Maximum accepted relative measurement uncertainty. A numeric value, expressed as a percent (
0.1
is equivalent to 10%).- a
The alpha parameter. Fraction of the maximum accepted measurement uncertainty that is not proportional to the concentration, ranging between
0
and1
. It is pollutant and measurement-type specific.- b
The beta parameter. Ratio between the maximum accepted modelling and measurement uncertainties for short- and long-term averages. It is pollutant and measurement-type specific, and it determines the stringency of the MQO. The stringency factor β corresponds to the maximum ratio of uncertainty of modelling applications as specified in the AAQD.
See also
Other parameter constructors:
mqo_params_default()