Package: VDSPCalibration 1.0

Lu Tian

VDSPCalibration: Statistical Methods for Designing and Analyzing a Calibration Study

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>.

Authors:Ramon Durazo-Arvizu, Chris Sempos, and Lu Tian

VDSPCalibration_1.0.tar.gz
VDSPCalibration_1.0.tar.gz(r-4.7-any)VDSPCalibration_1.0.tar.gz(r-4.6-any)
VDSPCalibration_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
VDSPCalibration/json (API)

# Install 'VDSPCalibration' in R:
install.packages('VDSPCalibration', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 172 downloads 5 exports 0 dependencies

Last updated from:b62198dc70. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK156
linux-release-x86_64OK102
wasm-releaseOK80

Exports:calfunchngptsamplefunsamplesizesampletot

Dependencies: