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)

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