get_confusion_mat: Fill a list with confusion matrices for each record

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

Description

Fill a list with confusion matrices for each record

Usage

get_confusion_mat(Cur.dat, Beta, misID.mat, misID.models,
  misID.symm = TRUE, stacked.names, factor.ind, Levels)

Arguments

Cur.dat	Matrix giving data (records and covariates) - multiple rows can be given (e.g. reflecting different observers)
Beta	A list where each entry is a vector giving the parameters of the misID model
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.models	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
misID.symm	if TRUE, symmetric classification probabilities are applied (e.g. pi^12=pi^21)
stacked.names	A character vector giving column names for the data
factor.ind	An integer vector holding whehter each column of data is to be treated as numeric or factor
Levels	A list, each entry of which corresponds to a column name for factor variables and gives the possible levels of those factors

Value

A list of confusion matrices, one for each row in Cur.dat

Author(s)

Paul B. Conn

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