ComRiskModel0.2.0 package

Fitting of Complementary Risk Models

acfailure

The data set consists of the failure times of the air conditioning sys...

acfailureunit

The unit interval data set consists of the failure times of the air co...

actuarialm

The mortality of retired people

acutebcancer

The survival times of 73 patients with acute bone cancer

airborne

Variations in airborne exposure on the concentration of urinary metabo...

CB12Bio

Complementary Burr-12 binomial distribution

CB12Geo

Complementary Burr-12 geomatric distribution

CB12NB

Complementary Burr-12 negative binomial distribution

CBXBio

Complementary Burr-X binomial distribution

CBXGeo

Complementary Burr-X geomatric distribution

CBXNB

Complementary Burr-X negative binomial distribution

CEEBio

Complementary exponentiated exponential binomial distribution

CEEGeo

Complementary exponentiated exponential geomatric distribution

CEENB

Complementary exponentiated exponential negative binomial distribution

CEWBio

Complementary exponentiated Weibull binomial distribution

CEWGeo

Complementary exponentiated Weibull geomatric distribution

CEWNB

Complementary exponentiated Weibull negative binomial distribution

CExpBio

Complementary exponential binomial distribution

CExpGeo

Complementary exponential geomatric distribution

CExpNB

Complementary exponential negative binomial distribution

CFBio

Complementary Fisk binomial distribution

CFGeo

Complementary Fisk geomatric distribution

CFNB

Complementary Fisk negative binomial distribution

CLBio

Complementary Lomax binomial distribution

CLGeo

Complementary Lomax geomatric distribution

CLNB

Complementary Lomax negative binomial distribution

ComRiskModel-package

Fitting of Complementary risk models

CWBio

Complementary Weibull binomial distribution

CWGeo

Complementary Weibull geomatric distribution

CWNB

Complementary Weibull negative binomial distribution

guineapigs

The survival times of guinea pigs infected

Evaluates the probability density function (PDF), cumulative distribution function (CDF), quantile function (QF), random numbers and maximum likelihood estimates (MLEs) of well-known complementary binomial-G, complementary negative binomial-G and complementary geometric-G families of distributions taking baseline models such as exponential, extended exponential, Weibull, extended Weibull, Fisk, Lomax, Burr-XII and Burr-X. The functions also allow computing the goodness-of-fit measures namely the Akaike-information-criterion (AIC), the Bayesian-information-criterion (BIC), the minimum value of the negative log-likelihood (-2L) function, Anderson-Darling (A) test, Cramer-Von-Mises (W) test, Kolmogorov-Smirnov test, P-value and convergence status. Moreover, some commonly used data sets from the fields of actuarial, reliability, and medical science are also provided. Related works include: a) Tahir, M. H., & Cordeiro, G. M. (2016). Compounding of distributions: a survey and new generalized classes. Journal of Statistical Distributions and Applications, 3, 1-35. <doi:10.1186/s40488-016-0052-1>.

  • Maintainer: Muhammad Imran
  • License: GPL (>= 2)
  • Last published: 2023-05-15