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ComRiskModel (version 0.2.0)

Airborne Variations: 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

Value

data_airborne gives the effects of variations in airborne exposure on the concentration of urinary metabolites.

Arguments

data_airborne

A vector of (non-negative integer) values.

Author

Muhammad Imran and M.H Tahir.

R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com and M.H Tahir mht@iub.edu.pk.

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.

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

Run this code
x<-data_airborne
summary(x)

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