Usage
calc_mc_css(chem.cas=NULL,chem.name=NULL,parameters=NULL,daily.dose=1, which.quantile=0.95,species="Human",output.units="mg/L",suppress.messages=F, censored.params=list(Funbound.plasma=list(cv=0.3,lod=0.01)), vary.params=list(BW=0.3,Vliverc=0.3,Qgfrc=0.3,Qtotal.liverc=0.3, million.cells.per.gliver=0.3,Clint=0.3),samples=1000, return.samples=F)
Arguments
chem.name
Either the chemical parameters, name, or the CAS number must be specified. chem.cas
Either the CAS number, parameters, or the chemical name must be specified. parameters
Parameters from parameterize_steadystate.
daily.dose
Total daily dose, mg/kg BW/day.
which.quantile
Which quantile from Monte Carlo simulation is requested. Can be a vector. species
Species desired (either "Rat", "Rabbit", "Dog", "Mouse", or default "Human"). output.units
Plasma concentration units, either uM or default mg/L.
suppress.messages
Whether or not to suppress output message.
censored.params
The parameters listed in censored.params are sampled from a normal distribution
that is censored for values less than the limit of detection (specified separately
for each paramter). This argument should be a list of sub-lists. Each sublist
is named for a parameter in "parameters"
and contains two elements: "CV" (coefficient of variation) and "LOD" (limit of
detection, below which parameter values are censored. New values are sampled
with mean equal to the value in "parameters" and standard deviation equal to the
mean times the CV. Censored values are sampled on a uniform distribution between
0 and the limit of detection.
vary.params
The parameters listed in vary.params are sampled from a normal distribution that is
truncated at zero. This argument should be a list of coefficients of variation
(CV) for the normal distribution. Each entry in the list is named for a
parameter in "parameters". New values are sampled with mean equal to the value in
"parameters" and standard deviation equal to the mean times the CV.
samples
Number of samples generated in calculating quantiles.
return.samples
Whether or not to return the vector containing the samples from the simulation instead of the selected quantile.