Other packages > Find by keyword >

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", "0.1.2")



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: 2024-12-19
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 0.1.2, https://cran.r-project.org/web/packages/Q2q. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2020-11-23 11:10), 0.1.1 (2024-11-07 20:50)
Other packages that cited Q2q R package
View Q2q citation profile
Other R packages that Q2q depends, imports, suggests or enhances
Complete documentation for Q2q
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA