| abconv {MethComp} | R Documentation |
If a method comparison model is defined as $y_{mi} = α_m + β_m μ_i$, $m=1,2$ the coefficients of the linear conversion form method 1 to 2 are computed as well as the point where the linear conversion function intersects the identity line. The function is designed to work on numerical vectors of posterior samples from BUGS output.
abconv( a1, b1 = 1:4, a2 = NULL, b2 = NULL,
col.names = c("alpha.2.1", "beta.2.1", "id.2.1") )
a1 |
Numerical vector of intercepts for first method. Alternatively a dataframe where the vectors are selected from. |
b1 |
Numerical vector of slopes for first method. If a1 is a
dataframe, this is assumed to be a numerical vector of length 4
pointing to the columns of a1 with the intercepts and
slopes. |
a2 |
Numerical vector of intercepts for second method. |
b2 |
Numerical vector of slopes for second method. |
col.names |
Names for the resulting three vectors. |
A dataframe with three columns: intercept and slope for the conversion from method 1 to method 2, and the value where the conversion is the identity.
Bendix Carstensen, Steno Diabetes Center, http://www.biostat.ku.dk/~bxc
B Carstensen: Comparing and predicting between several methods of measurement, Biostatistics, 5, pp 399-413, 2004
abconv( 0.3, 0.9, 0.8, 0.8 )