patt.worth: Function to calculate and print worth parameters from pattern model results
Description
Worth parameter are calculated from the results of a pattern model fit, i.e., from
pattPC.fit, pattR.fit, pattL.fit, and
pattLrep.fit or from a gnm-fit, respectively. For the latter, the
function only works if the design matrix had been generated using patt.design.
Object of class pattMod obtained from pattern model fit.
obj.names
names for the objects, for repeated measurement models just the names of
objects for the first time point
outmat
a matrix of estimated worth parameters (outmat = "worth", the default) or
pattern model parameters (outmat = "lambda").
Value
patt.worth returns a matrix
of worth or model parameters. If subject covariates have been specified, each column
represents a groups defined by the crossclassification of the subject covariates.
The function plot gives a plot of the estimates.
encoding
UTF-8
Warning
If the pattern model has been fitted including numerical subject covariates, they are
ignored. However, estimates for the remaining predictors are calculated for convenience.
Please note, that these cannot be interpreted as standard estimates but are intercepts
of the regression model where the objects (or reparameterized objects) are explained
by one or more numerical subject covariates.
Details
If the pattern model includes categorical subject covariates, the
function provides estimates for all groups formed by the full
crossclassification. Numerical subject covariates are not implemented (yet)(see Warning below).
# fit only first three objects with SEX effectm2 <- pattPC.fit(cemspc, nitems = 3, formel = ~SEX, elim = ~SEX, undec = TRUE)
# calculate and print worth parametersm2worth <- patt.worth(m2)
m2worth