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RkMetrics
View on CRAN: Click
here
Download and install RkMetrics package within the R console
Install from CRAN:
install.packages("RkMetrics")
Install from Github:
library("remotes")
install_github("cran/RkMetrics") Install by package version:
library("remotes")
install_version("RkMetrics", "1.3") Attach the package and use:
library("RkMetrics")
Maintained by
Titus K Rotich
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-28
Latest Update: 2017-07-29
Description:
Hybrid Mortality Modelling (HMM) provides a framework in which mortality around "the accident hump" and at very old ages can be modelled under a single model. The graphics' codes necessary for visualization of the models' output are included here. Specifically, the graphics are based on the assumption that, the mortality rates can be expressed as a function of the area under the curve between the crude mortality rates plots and the tangential transform of the force of mortality.
How to cite:
Titus K Rotich (2017). RkMetrics: Hybrid Mortality Estimation. R package version 1.3, https://cran.r-project.org/web/packages/RkMetrics. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 1.1 (2017-07-28 11:17)
Other packages that cited RkMetrics R package
View RkMetrics citation profile
Other R packages that RkMetrics depends,
imports, suggests or enhances
Complete documentation for RkMetrics
Functions, R codes and Examples using
the RkMetrics R package
Some associated functions: Mortality . iplot . lplot . mmplot . pccopula . pgcopula . vplot .
Some associated R codes: Data_Doc.R . RkMetrics_functions.R . SwizData.R . Full RkMetrics package functions and examples
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