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VDSPCalibration  

Statistical Methods for Designing and Analyzing a Calibration Study
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("VDSPCalibration", "1.0")



Attach the package and use:
library("VDSPCalibration")
Maintained by
Lu Tian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-05
Latest Update: 2017-09-05
Description:
Provides statistical methods for the design and analysis of a calibration study, which aims for calibrating measurements using two different methods. The package includes sample size calculation, sample selection,regression analysis with error-in measurements and change-point regression. The method is described in Tian, Durazo-Arvizu, Myers, et al. (2014) <doi:10.1002/sim.6235>.
How to cite:
Lu Tian (2017). VDSPCalibration: Statistical Methods for Designing and Analyzing a Calibration Study. R package version 1.0, https://cran.r-project.org/web/packages/VDSPCalibration. Accessed 29 Oct. 2026.
Previous versions and publish date:
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Complete documentation for VDSPCalibration
Functions, R codes and Examples using the VDSPCalibration R package
Some associated functions: VDSPCalibration-package . calfun . chngpt . samplefun . samplesize . sampletot . 
Some associated R codes: VDSPcalibration.R .  Full VDSPCalibration package functions and examples
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