Among various possibilities, you might consider a logistic or probit regression
model with ARMA errors specified via Gaussian copula. This approach is
implemented in the package gcmr ("Gaussian Copula Marginal Regression").
Example: logistic model with covariates S1 and S2 and AR(1,2) errors
Hi,
I have a dichotomous data where some my independent variables are categorical,
some are continuous and some are binary(0/1)
My dependent is a binary response (Fail/NoFail,0/1) .
The data is some readings collected everyday over a period of time.
The goal is to use this data and see if we c
2 matches
Mail list logo