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Q2q  

Interpolating Age-Specific Mortality Rates at All Ages
View on CRAN: Click here


Download and install Q2q package within the R console
Install from CRAN:
install.packages("Q2q")

Install from Github:
library("remotes")
install_github("cran/Q2q")

Install by package version:
library("remotes")
install_version("Q2q", "0.1.0")



Attach the package and use:
library("Q2q")
Maintained by
Farid FLICI
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-23
Latest Update: 2020-11-23
Description:
Mortality Rates are usually published following an abridged description, i.e., by age groups 0, [1, 5[, [5, 10[, [10, 15[ and so on. For some applications, a detailed (single) ages description is required. Despite the huge number of the proposed methods in the literature, there is a limited number of methods ensuring a high performance at lower and higher ages in the same time. For example, the 6-terms 'Lagrange' interpolation function is well adapted to mortality interpolation at lower ages (with unequal intervals) but is not adapted to higher ages. On the other hand, the 'Karup-King' method allows a good performance at higher ages but not adapted to lower ages. Interested readers can refer to the book of Shryock, Siegel and Associates (1993) for a detailed overview of the two cited methods.The package Q2q allows combining both the two methods to allow interpolating mortality rates at all ages. First, it starts by implementing each method separately, then the resulted curves are joined based on a 5-age averaged error between the two curves.
How to cite:
Farid FLICI (2020). Q2q: Interpolating Age-Specific Mortality Rates at All Ages. R package version 0.1.0, https://cran.r-project.org/web/packages/Q2q
Previous versions and publish date:
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Functions, R codes and Examples using the Q2q R package
Some associated functions: getqx . getqxt . 
Some associated R codes: Q2q.R .  Full Q2q package functions and examples
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