modelObj: Create an Object of Class modelObj
In modelObj: A Model Object Framework for Regression Analysis

Description Usage Arguments Details Value Examples

A utility function to transfer user defined models and estimation methods to an object of class modelObj.

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buildModelObj(model, solver.method=NULL, solver.args=NULL, 
predict.method=NULL, predict.args=NULL)

`model`	A formula object defining the regression model.
`solver.method`	An object of class character specifying the name of the R function to be used to obtain parameter estimates. For example, ‘lm’, ‘glm’, or ‘rpart’. The specified modeling function MUST have a corresponding predict method.
`solver.args`	An object of class list containing additional arguments to be sent to solver.method. Arguments must be provided as a list, where the name of each element matches a formal argument of solver.method. For example, if a logistic regression using glm is desired, solver.method = ``glm" solver.args = list(``family"=binomial) It is assumed that the R method specified in solver.method has formal arguments “formula" and “data". If solver.method does not use “formula" for the formula object or “data" as the data.frame, solver.args must explicitly indicate the variable names used for these inputs. For example, list(“x"=“formula") if the formula object is passed to solver.method through input argument “x" or list(“df"=“data") if the data.frame object is passed to solver.method through input argument “df."
`predict.method`	A character. The name of the R function to be used to obtain predictions. For example, ‘predict.lm’, ‘predict’, or ‘predict.glm’. If no function is explicitly given, the generic `predict` is assumed. For many methods, the generic method is appropriate.
`predict.args`	A list. Additional arguments to be sent to predict.method. This must be provided as a list, where the name of each element matches a formal argument of predict.method. For example, if a logistic regression using glm was used to fit the model formula object and predictions on the scale of the response are desired, predict.method = ``predict.glm" predict.args = list(``type"=``response"). It is assumed that the predict.method has formal arguments “object" and “newdata". If predict.method does not use these formal arguments, predict.args must explicitly indicate the variable names used for these inputs. For example, list(“x"=“object") if the object returned by solver.method is passed to predict.method through input argument “x" or list(“ndf"=“newdata") if the data.frame object is passed to predict.method through input argument “ndf." .

Unless changed by the user in solver.args and/or predict.args, default settings are assumed for the specified methods.

An object of type modelObj, which contains a complete description of the model, the method to be used for parameter estimates, and the prediction method.

    #----------------------------------------------------#
    # Create modeling object using a formula
    #----------------------------------------------------#
    mo <- buildModelObj(model=Y ~ X1 + X2 + X3 + X4,
                        solver.method='lm', 
                        predict.method='predict.lm',
                        predict.args=list(type='response'))