summary.learnIQ1cm | R Documentation |
Output from the contrast function mean regression in IQ-learning.
## S3 method for class 'learnIQ1cm' summary(object, ...)
object |
object of type |
... |
additional arguments to be passed to |
Regression output and other summary statistics from the contrast
function mean regression. See summary.lm
for more details.
Computes and returns multiple summary statistics from the linear model
in object
. See summary.lm
for a list of available
summary statistics.
Kristin A. Linn <kalinn@ncsu.edu>, Eric B. Laber, Leonard A. Stefanski
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.
learnIQ1cm
## 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] fitIQ2 = learnIQ2 (y ~ gender + parent_BMI + month4_BMI + A2*(parent_BMI + month4_BMI), data=bmiData, "A2", c("parent_BMI", "month4_BMI")) fitIQ1cm = learnIQ1cm (~ gender + race + parent_BMI + baseline_BMI + A1*(gender + parent_BMI + baseline_BMI), data=bmiData, "A1", c ("gender", "parent_BMI", "baseline_BMI"), fitIQ2) summary (fitIQ1cm)
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