Guinea Pigs {ComRiskModel}R Documentation

The survival times of guinea pigs infected

Description

The function allows to provide survival times (in days) of 72 guinea pigs infected with virulent tubercle bacilli.

Usage

data_guineapigs

Arguments

data_guineapigs

A vector of (non-negative integer) values.

Details

The data set represents the survival times (in days) of 72 guinea pigs infected with virulent tubercle bacilli. Recently, the data set is used by Alyami et al.(2022) and fitted the Topp-Leone modified Weibull model.

Value

data_guineapigs gives the survival times (in days) of 72 guinea pigs infected with virulent tubercle bacilli.

Author(s)

Muhammad Imran and H.M Tahir.

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

References

Bjerkedal, T. (1960). Acquisition of Resistance in Guinea Pies infected with Different Doses of Virulent Tubercle Bacilli. American Journal of Hygiene, 72(1), 130-48.

Chesneau, C., & El Achi, T. (2020). Modified odd Weibull family of distributions: Properties and applications. Journal of the Indian Society for Probability and Statistics, 21, 259-286.

Khosa, S. K., Afify, A. Z., Ahmad, Z., Zichuan, M., Hussain, S., & Iftikhar, A. (2020). A new extended-f family: properties and applications to lifetime data. Journal of Mathematics, 2020, 1-9.

Alyami, S. A., Elbatal, I., Alotaibi, N., Almetwally, E. M., Okasha, H. M., & Elgarhy, M. (2022). Topp-Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data. Applied Sciences, 12(20), 10431.

Kemaloglu, S. A., & Yilmaz, M. (2017). Transmuted two-parameter Lindley distribution. Communications in Statistics-Theory and Methods, 46(23), 11866-11879.

Examples

x<-data_guineapigs
summary(x)


[Package ComRiskModel version 0.2.0 Index]