predict.countgmifs: Predict Outcome for Count GMIFS Fitted Model.
In countgmifs: Discrete Response Regression for High-Dimensional Data

This function returns a numeric vector that is the predicted response from the countgmifs fitted object.

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## S3 method for class 'countgmifs'
predict(object, neww = NULL, newdata, newx = NULL,
  model.select = "BIC", newoffset=NULL, ...)

`object`	an `ordinalgmifs` fitted object.
`neww`	an optional formula that includes the unpenalized variables to use for predicting the response. If omitted, the training data are used.
`newdata`	an optional data.frame that minimally includes the unpenalized variables to use for predicting the response. If omitted, the training data are used.
`newx`	an optional matrix of penalized variables to use for predicting the response. If omitted, the training data are used.
`model.select`	when `x` is specified any model along the solution path can be selected. The default is `model.select="BIC"` which calculates the predicted values using the coefficients from the model having the lowest BIC. Other options are `model.select="AIC"` or any numeric value from the solution path.
`newoffset`	If an offset is used in the fit, then one must be supplied for making predictions.
`...`	other arguments.