MethodCompare: Bias and Precision Plots to Compare Two Measurements with Possibly Heteroscedastic Measurement Errors
Version 0.1.0

Implementation of the methodology from the paper titled "Effective plots to assess bias and precision in method comparison studies" published in Statistical Methods in Medical Research, P. Taffe (2016) .

Browse man pages Browse package API and functions Browse package files

AuthorMingkai Peng, Patrick Taffe, Tyler Williamson
Date of publication2016-10-12 00:37:13
MaintainerMingkai Peng <mpeng@ucalgary.ca>
LicenseGPL-3
Version0.1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MethodCompare")

Man pages

bias_plot: Plot used to visually assess the amount of bias of a new...
bland_altman_plot: Bland and Atlman's limits of agreement plot
compare_plot: Plot used to visualize the recalibration of the new method...
data1: Simulated dataset 1
data2: Simulated dataset 2
data3: Simulated dataset 3
measure_compare: Estimation of the amount of bias of a new measurement method...
precision_plot: Precision plot used to compare the standard deviation of a...

Functions

bias_plot Man page Source code
bland_altman_plot Man page Source code
compare_plot Man page Source code
data1 Man page
data2 Man page
data3 Man page
measure_compare Man page Source code
precision_plot Man page Source code

Files

NAMESPACE
data
data/data2.rda
data/data1.rda
data/data3.rda
R
R/precision_plot.R
R/bias_plot.R
R/bland_altman_plot.R
R/data1.R
R/measure_compare.R
R/Compare_plot.R
MD5
DESCRIPTION
man
man/measure_compare.Rd
man/precision_plot.Rd
man/data2.Rd
man/data1.Rd
man/bias_plot.Rd
man/bland_altman_plot.Rd
man/data3.Rd
man/compare_plot.Rd
MethodCompare documentation built on May 20, 2017, 4:57 a.m.