The possible weights to be considered is a sequence from 0 (favour
auxiliary data) to 1 (favour primary data). Each possible
combination of weights for nclass classes must be
tested. The thetas function produces a weight matrix
for nclass columns (one for each class) with all possible
weight combinations (number of rows).
Usage
thetas(nclass, by = 0.5, length.out, verbose = TRUE)
Arguments
nclass
Number of marker classes
by
The increment of the weights. One of 1,
0.5, 0.25, 2, 0.1 or 0.05.
length.out
The desired length of the weight sequence.
verbose
A logical indicating if the weight sequences
should be printed out. Default is TRUE.
Value
A matrix with all possible theta weight combinations.