# summary.qLearnS2: Q-learning: second-stage regression summary In iqLearn: Interactive Q-Learning

## Description

Output from the second-stage regression in Q-learning.

## Usage

 1 2 ## S3 method for class 'qLearnS2' summary(object, ...)

## Arguments

 object object of type qLearnS2 ... additional arguments to be passed to summary()

## Details

Regression output and other summary statistics from the second-stage regression. See summary.lm for more details.

## Value

Computes and returns multiple summary statistics from the linear model in object. See summary.lm for a list of available summary statistics.

## Author(s)

Kristin A. Linn <[email protected]>, Eric B. Laber, Leonard A. Stefanski

## References

Linn, K. A., Laber, E. B., Stefanski, L. A. (2015) "iqLearn: Interactive Q-Learning in R", Journal of Statistical Software, 64(1), 1–25.

Laber, E. B., Linn, K. A., and Stefanski, L. A. (2014) "Interactive model building for Q-learning", Biometrika, 101(4), 831-847.

## Examples

 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 ## load in two-stage BMI data data (bmiData) bmiData\$A1[which (bmiData\$A1=="MR")] = 1 bmiData\$A1[which (bmiData\$A1=="CD")] = -1 bmiData\$A2[which (bmiData\$A2=="MR")] = 1 bmiData\$A2[which (bmiData\$A2=="CD")] = -1 bmiData\$A1 = as.numeric (bmiData\$A1) bmiData\$A2 = as.numeric (bmiData\$A2) s1vars = bmiData[,1:4] s2vars = bmiData[,c (1, 3, 5)] a1 = bmiData[,7] a2 = bmiData[,8] ## define response y to be the negative 12 month change in BMI from ## baseline y = -(bmiData[,6] - bmiData[,4])/bmiData[,4] fitQ2 = qLearnS2 (y ~ gender + parent_BMI + month4_BMI + A2*(parent_BMI + month4_BMI), data=bmiData, "A2", c("parent_BMI", "month4_BMI")) summary (fitQ2)

iqLearn documentation built on May 29, 2017, 11:26 a.m.