Package: ComRiskModel 0.2.0

ComRiskModel: Fitting of Complementary Risk Models

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>.

Authors:Muhammad Imran [aut, cre], M.H Tahir [aut]

ComRiskModel_0.2.0.tar.gz
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ComRiskModel.pdf |ComRiskModel.html
ComRiskModel/json (API)

# Install 'ComRiskModel' in R:
install.packages('ComRiskModel', repos = c('https://imranshakoor.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 258 downloads 126 exports 1 dependencies

Last updated 1 years agofrom:d0b795e97f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:data_acfailuredata_acfailureunitdata_actuarialmdata_acutebcancerdata_airbornedata_guineapigsdCB12BiodCB12GeodCB12NBdCBXBiodCBXGeodCBXNBdCEEBiodCEEGeodCEENBdCEWBiodCEWGeodCEWNBdCExpBiodCExpGeodCExpNBdCFBiodCFGeodCFNBdCLBiodCLGeodCLNBdCWBiodCWGeodCWNBmCB12BiomCB12GeomCB12NBmCBXBiomCBXGeomCBXNBmCEEBiomCEEGeomCEENBmCEWBiomCEWGeomCEWNBmCExpBiomCExpGeomCExpNBmCFBiomCFGeomCFNBmCLBiomCLGeomCLNBmCWBiomCWGeomCWNBpCB12BiopCB12GeopCB12NBpCBXBiopCBXGeopCBXNBpCEEBiopCEEGeopCEENBpCEWBiopCEWGeopCEWNBpCExpBiopCExpGeopCExpNBpCFBiopCFGeopCFNBpCLBiopCLGeopCLNBpCWBiopCWGeopCWNBqCB12BioqCB12GeoqCB12NBqCBXBioqCBXGeoqCBXNBqCEEBioqCEEGeoqCEENBqCEWBioqCEWGeoqCEWNBqCExpBioqCExpGeoqCExpNBqCFBioqCFGeoqCFNBqCLBioqCLGeoqCLNBqCWBioqCWGeoqCWNBrCB12BiorCB12GeorCB12NBrCBXBiorCBXGeorCBXNBrCEEBiorCEEGeorCEENBrCEWBiorCEWGeorCEWNBrCExpBiorCExpGeorCExpNBrCFBiorCFGeorCFNBrCLBiorCLGeorCLNBrCWBiorCWGeorCWNB

Dependencies:AdequacyModel

Readme and manuals

Help Manual

Help pageTopics
Fitting of Complementary risk modelsComRiskModel-package
The mortality of retired peopledata_actuarialm
The survival times of 73 patients with acute bone cancerdata_acutebcancer
The data set consists of the failure times of the air conditioning system of an airplane (in hours)data_acfailure
The unit interval data set consists of the failure times of the air conditioning system of an airplane (in hours)data_acfailureunit
Variations in airborne exposure on the concentration of urinary metabolitesdata_airborne
Complementary Burr-12 binomial distributiondCB12Bio mCB12Bio pCB12Bio qCB12Bio rCB12Bio
Complementary Burr-12 geomatric distributiondCB12Geo mCB12Geo pCB12Geo qCB12Geo rCB12Geo
Complementary Burr-12 negative binomial distributiondCB12NB mCB12NB pCB12NB qCB12NB rCB12NB
Complementary Burr-X binomial distributiondCBXBio mCBXBio pCBXBio qCBXBio rCBXBio
Complementary Burr-X geomatric distributiondCBXGeo mCBXGeo pCBXGeo qCBXGeo rCBXGeo
Complementary Burr-X negative binomial distributiondCBXNB mCBXNB pCBXNB qCBXNB rCBXNB
Complementary exponentiated exponential binomial distributiondCEEBio mCEEBio pCEEBio qCEEBio rCEEBio
Complementary exponentiated exponential geomatric distributiondCEEGeo mCEEGeo pCEEGeo qCEEGeo rCEEGeo
Complementary exponentiated exponential negative binomial distributiondCEENB mCEENB pCEENB qCEENB rCEENB
Complementary exponentiated Weibull binomial distributiondCEWBio mCEWBio pCEWBio qCEWBio rCEWBio
Complementary exponentiated Weibull geomatric distributiondCEWGeo mCEWGeo pCEWGeo qCEWGeo rCEWGeo
Complementary exponentiated Weibull negative binomial distributiondCEWNB mCEWNB pCEWNB qCEWNB rCEWNB
Complementary exponential binomial distributiondCExpBio mCExpBio pCExpBio qCExpBio rCExpBio
Complementary exponential geomatric distributiondCExpGeo mCExpGeo pCExpGeo qCExpGeo rCExpGeo
Complementary exponential negative binomial distributiondCExpNB mCExpNB pCExpNB qCExpNB rCExpNB
Complementary Fisk binomial distributiondCFBio mCFBio pCFBio qCFBio rCFBio
Complementary Fisk geomatric distributiondCFGeo mCFGeo pCFGeo qCFGeo rCFGeo
Complementary Fisk negative binomial distributiondCFNB mCFNB pCFNB qCFNB rCFNB
Complementary Lomax binomial distributiondCLBio mCLBio pCLBio qCLBio rCLBio
Complementary Lomax geomatric distributiondCLGeo mCLGeo pCLGeo qCLGeo rCLGeo
Complementary Lomax negative binomial distributiondCLNB mCLNB pCLNB qCLNB rCLNB
Complementary Weibull binomial distributiondCWBio mCWBio pCWBio qCWBio rCWBio
Complementary Weibull geomatric distributiondCWGeo mCWGeo pCWGeo qCWGeo rCWGeo
Complementary Weibull negative binomial distributiondCWNB mCWNB pCWNB qCWNB rCWNB
The survival times of guinea pigs infecteddata_guineapigs