get_confusion_array: Fill confusion array - one confusion matrix for each...

In hierarchicalDS: Functions to Perform Hierarchical Analysis of Distance Sampling Data

Description

Fill confusion array - one confusion matrix for each individual (DEPRECATED)

Usage

get_confusion_array(Confuse, Cov = NULL, Beta, n.indiv, misID.mat,
  misID.formulas, symm = TRUE)

Arguments

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)

Value

A filled version of Confuse

Author(s)

Paul B. Conn

hierarchicalDS documentation built on July 3, 2019, 1:07 a.m.