Description Usage Arguments Value Author(s)
Fill confusion array - one confusion matrix for each individual (DEPRECATED)
1 2 | get_confusion_array(Confuse, Cov = NULL, Beta, n.indiv, misID.mat,
misID.formulas, symm = TRUE)
|
Confuse |
An 3-dimensional array, with dimensions (# of individuals, # of rows in misID.mat, # of cols of misID.mat) |
Cov |
Data frame including all covariates for the misclassification model (individuals are on rows) |
Beta |
A list where each entry is a vector giving the parameters of the misID model |
n.indiv |
Integer giving the number of individuals |
misID.mat |
With true state on rows and assigned state on column, each positive entry provides an index to misID.models (i.e. what model to assume on multinomial logit space); a 0 indicates an impossible assigment; a negative number designates which column is to be obtained via subtraction |
misID.formulas |
A formula vector providing linear model-type formulas for each positive value of misID.mat. If the same model is used in multiple columns it is assumed that all fixed effects (except the intercept) are shared |
symm |
if TRUE, symmetric classification probabilities are applied (e.g. pi^12=pi^21) |
A filled version of Confuse
Paul B. Conn
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