print.seqbin: Print the results by the binary logistic regression model

In seqest: Sequential Method for Classification and Generalized Estimating Equations Problem

Description

print.seqbin print the result of the binary logistic regression model used by the method of adaptive shrinkage estimate.

Usage

## S3 method for class 'seqbin'
print(x, ...)

Arguments

x	A variable of type seqbin
...	Additional variables to be transferred to functions

Details

This function is used to present results in a concise way. If we select enough samples that satisfy the stopping criterion, then we show several messages to report the conclusion including the length of fixed size confidence set, the number of samples we choose, the value of coefficient and the time have elapsed. Otherwise, the sample selection process is failed. We need to reduce the length of fixed size confidence set because the smaller the dlen, the larger the sample size we need.

Value

print.seqbin returns several messages to show the conclusion.

seqest documentation built on July 2, 2020, 2:28 a.m.