simPredpolr

An object of class <code>polr</code>.

object

A vector of coefficients where elements 1 to <code>n.coef</code> give
model coefficients and elements <code>n.coef</code>+1 to k have intercepts.

coefs

Number of coefficients (minus intercepts) for the <code>polr</code>
model.

n.coef

Calculates predicted probabilities from models of class <code>polr</code> from a
model object and a vector of coefficient values. This is an auxiliary
function used in <code>pre</code> if <code>sim=TRUE</code>.

Miscellaneous set of functions I use in my teaching either at the University of Western Ontario or the Inter-university Consortium for Political and Social Research (ICPSR) Summer Program in Quantitative Methods.  Broadly, the functions help with presentation and interpretation of LMs and GLMs, but also implement some new tools like Alternating Least Squares Optimal Scaling for dependent variables, a Bayesian analog to the ALSOS algorithm.  There are also tools to help understand interactions in both LMs and binary GLMs.

simPredpolr: Calculate Predictions for Proportional Odds Logistic Regression

Description

Usage

Arguments

Value