modSearch

a formula object with the response on the left of the <code>~</code> operator, and the linear
  predictor on the right.

formula

a character string specifying the type of the response variable; possible values are 
  "<code>quantitative</code>" or "<code>dichotomous</code>".

endpoint

a character string specifying the type of search technique used in the model selection procedure; 
  possible values are "<code>exhaustive</code>", "<code>forward</code>", or "<code>backward</code>".

method

specifies the optimization criterion for model selection; possible values are "<code>cp</code>" for 
  Mallow's Cp, "<code>bic</code>" for BIC, and "<code>rsq</code>" for R-squared.

optimal

a vector of indices to columns of the design matrix that should be included in each regression model.

force.in

the maximum number of covariates considered for inclusion in a model.

nvmax

<code>modSearch</code> is used internally by <code>speff</code> to construct an optimal model for 
prediction of the study endpoint or estimation of the missingness mechanism.

The package performs estimation and testing of the
        treatment effect in a 2-group randomized clinical trial with a
        quantitative, dichotomous, or right-censored time-to-event
        endpoint. The method improves efficiency by leveraging baseline
        predictors of the endpoint. The inverse probability weighting
        technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used
        to provide unbiased estimation when the endpoint is missing at
        random.

modSearch: Internal function for speff()

Description

Usage

Arguments

See Also