Package index • MethComp

All functions
`AltReg()`	Estimate in a method comparison model with replicates
`Ancona`	Data from a rating experiment of recorgnizing point counts.
`BA.est()`	Bias and variance components for a Bland-Altman plot.
`CardOutput`	Measurements of Cardiac output.
`DA.reg()`	Make a regression of differences on averages
`DA2y()`	Convert DA to (classical) regression
`Deming()`	Regression with errors in both variables (Deming regression)
`Enzyme`	Enzyme activity data
`MCmcmc()`	Fit a model for method comparison studies using WinBUGS
`Meth()`	Create a Meth object representing a method comparison study
`Meth.sim()`	Simulate a dataframe containing replicate measurements on the same items using different methods.
`MethComp()`	Summarize conversion equations and prediction intervals between methods.
`PBreg()`	Passing-Bablok regression
`PEFR`	Peak Expiratory Flow Rate (PEFR) measurements with Wright peak flow and mini Wright peak flow meter.
`TDI()`	Compute Lin's Total deviation index
`VitCap`	Merits of two instruments designed to measure certain aspects of human lung function (Vital Capacity)
`abconv()`	Derive linear conversion coefficients from a set of indeterminate coefficients
`bothlines()`	Add regression lines to a plot
`cardiac`	Measurement of cardiac output by two different methods.
`check.trans()`	Functions to handle transformations of measurement results.
`choose.trans()`	Functions to handle transformations of measurement results.
`corr.measures()`	Classical association measures
`ends()`	Function to identify the extremes of a vector
`fat`	Measurements of subcutaneous and visceral fat
`glucose`	Glucose measurements by different methods
`hba.MC`	A MCmcmc object from the hba1c data
`hba1c`	Measurements of HbA1c from Steno Diabetes Center
`middle()`	Function to identify the middle of a vector
`milk`	Measurement of fat content of human milk by two different methods.
`ox.MC`	A MCmcmc object from the oximetry data.
`ox`	Measurement of oxygen saturation in blood
`pairs(<MCmcmc>)`	Create a pairs plot for an MCmcmc object
`perm.repl()`	Manipulate the replicate numbering within (item,method)
`plot(<MCmcmc>)`	Plot estimated conversion lines and formulae.
`plot(<MethComp>)`	Summarize conversion equations and prediction intervals between methods.
`BA.plot()` `plot(<PBreg>)` `plot(<Meth>)` `plot(<VarComp>)`	Bland-Altman plot of differences versus averages.
`plvol`	Measurements of plasma volume measured by two different methods.
`predict(<PBreg>)`	Predict results from PBreg object
`print(<MCmcmc>)`	Print a MCmcmc object
`rainman`	Perception of points in a swarm
`sample.Meth()`	Sample Meth object with replacement
`sbp.MC`	A MCmcmc object from the sbp data
`sbp`	Systolic blood pressure measured by three different methods.
`scint`	Relative renal function by Scintigraphy
`subset(<MCmcmc>)`	Subset an MCmcmc object
`summary(<Meth>)`	Summary for Meth obect
`summary(<MCmcmc>)`	Summary
`to.long()`	Functions to convert between long and wide representations of data
`to.wide()`	Functions to convert between long and wide representations of data
`trace(<MCmcmc>)`	Functions to graphically assess the convergence of the MCMC-simulation in a MCmcmc object
`y2DA()`	Convert DA to (classical) regression

Reference

All functions