Internal function used by secr.fit,
confint.secr, and score.test.
D.designdata (mask, Dmodel, grouplevels, sessionlevels, sessioncov =
NULL, meanSD = NULL)
Dataframe with one row for each combination of mask point, group and
session. Conceptually, we use a 3-D rectangular array with enough rows
to accommodate the largest mask, so some rows in the output may merely
hold space to enable easy indexing. The dataframe has an attribute
`dimD' that gives the relevant dimensions: attr(dframe, "dimD") =
c(nmask, ngrp, R), where nmask is the number of mask points,
ngrp is the number of groups, and R is the number of
sessions. Columns correspond to predictor variables in Dmodel.
The number of valid rows (points in each session-specific mask) is stored in the attribute `validMaskRows'.
For a single-session mask, meanSD is a 2 x 2 matrix of mean and
SD (rows) for x- and y-coordinates. For a multi-session mask, a list of
such objects. Ordinarily these values are from the meanSD attribute of
the mask, but they must be specified when applying a new mask to an
existing model.
mask object.
formula for density model
vector of group names
vector of character values for session names
optional dataframe of values of session-specific covariate(s).
optional external values for scaling x- and y- coordinates
This is an internal secr function that you are unlikely ever to
use. Unlike secr.design.MS, this function does not
call model.matrix.
secr.design.MS