| Airborne Variations {ComRiskModel} | R Documentation |
Variations in airborne exposure on the concentration of urinary metabolites
Description
The function allows to provide the effects of variations in airborne exposure on the concentration of urinary metabolites.
Usage
data_airborne
Arguments
data_airborne |
A vector of (non-negative integer) values. |
Details
The data relates to the effects of variations in airborne exposure on the concentration of urinary metabolites. Recently, it is used by Peter et al. (2021) and fitted the Gamma odd Burr III-G family of distributions.
Value
data_airborne gives the effects of variations in airborne exposure on the concentration of urinary metabolites.
Author(s)
Muhammad Imran and M.H Tahir.
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com and M.H Tahir mht@iub.edu.pk.
References
Peter, P. O., Oluyede, B., Bindele, H. F., Ndwapi, N., & Mabikwa, O. (2021). The Gamma Odd Burr III-G Family of Distributions: Model, Properties and Applications. Revista Colombiana de Estadistica, 44(2), 331-368.
Kumagai, S., & Matsunaga, I. (1995). Physiologically based pharmacokinetic model for acetone. Occupational and environmental medicine, 52(5), 344-352.
Examples
x<-data_airborne
summary(x)