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kofn  

Maximum Likelihood Estimation for k-Out-of-n System Data
View on CRAN: Click here


Download and install kofn package within the R console
Install from CRAN:
install.packages("kofn")

Install from Github:
library("remotes")
install_github("cran/kofn")

Install by package version:
library("remotes")
install_version("kofn", "0.4.0")



Attach the package and use:
library("kofn")
Maintained by
Alexander Towell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-19
Latest Update: 2026-06-19
Description:
Maximum likelihood estimation of component lifetime parameters from system-level observations of k-out-of-n systems. Supports exponential and Weibull component distributions under multiple observation schemes: Scheme 0 (system lifetime only), Scheme 1 (periodic inspection), and Scheme 2 (complete monitoring). Provides an EM algorithm for Weibull parallel systems and Fisher information comparison across schemes. The k-out-of-n framework unifies series (k=1) and parallel (k=m) systems as a censoring problem on component lifetimes. Conforms to the 'likelihood.model' generics and returns fitted objects compatible with 'algebraic.mle'. The data-generating process and topology infrastructure (system survival, density, signature, structure function, importance measures) are delegated to the 'dist.structure' package; 'kofn' focuses exclusively on inference for the k-out-of-n family.
How to cite:
Alexander Towell (2026). kofn: Maximum Likelihood Estimation for k-Out-of-n System Data. R package version 0.4.0, https://cran.r-project.org/web/packages/kofn. Accessed 04 Oct. 2026.
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