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-4.5-noble)VDSPCalibration_1.0.tar.gz(r-4.4-noble)
VDSPCalibration_1.0.tgz(r-4.4-emscripten)VDSPCalibration_1.0.tgz(r-4.3-emscripten)
VDSPCalibration.pdf |VDSPCalibration.html
VDSPCalibration/json (API)

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

Peer review:

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

5 exports 0.00 score 0 dependencies 5 scripts 112 downloads

Last updated 7 years agofrom:b62198dc70. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-linuxOKSep 17 2024

Exports:calfunchngptsamplefunsamplesizesampletot

Dependencies: