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ComRiskModel
View on CRAN: Click
here
Download and install ComRiskModel package within the R console
Install from CRAN:
install.packages("ComRiskModel")
Install from Github:
library("remotes")
install_github("cran/ComRiskModel")
Install by package version:
library("remotes")
install_version("ComRiskModel", "0.2.0")
Attach the package and use:
library("ComRiskModel")
Maintained by
Muhammad Imran
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-08
Latest Update: 2023-05-15
Description:
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.
.
How to cite:
Muhammad Imran (2023). ComRiskModel: Fitting of Complementary Risk Models. R package version 0.2.0, https://cran.r-project.org/web/packages/ComRiskModel
Previous versions and publish date:
0.1.0 (2023-05-08 20:10)
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