bmiData | Adolescent BMI data set (generated toy example) |
IQ1 | IQ-learning: Recommend stage 1 treatment |
IQ2 | IQ-learning: Recommend stage 2 treatment |
iqQ1cmEst | IQ-learning: contrast function mean regression |
iqQ1MainEst | IQ-learning: main effect term regression |
iqQ1varEst | IQ-learning: contrast variance modeling |
iqQ2Est | IQ-learning: second-stage regression |
iqResids | IQ-learning: standardized residuals |
iqResids.default | IQ-learning: standardized residuals |
learnIQ1 | IQ-learning: estimate optimal first-stage rule |
learnIQ1.default | IQ-learning: estimate optimal first-stage rule |
learnIQ1cm | IQ-learning: contrast function mean regression |
learnIQ1cm.default | IQ-learning: contrast function mean regression |
learnIQ1cm.formula | IQ-learning: contrast function mean regression |
learnIQ1Est | IQ-learning: estimate optimal first-stage rule |
learnIQ1main | IQ-learning: main effect term regression |
learnIQ1main.default | IQ-learning: main effect term regression |
learnIQ1main.formula | IQ-learning: main effect term regression |
learnIQ1var | IQ-learning: contrast variance modeling |
learnIQ1var.default | IQ-learning: contrast variance modeling |
learnIQ1var.formula | IQ-learning: contrast variance modeling |
learnIQ2 | IQ-learning: second-stage regression |
learnIQ2.default | IQ-learning: second-stage regression |
learnIQ2.formula | IQ-learning: second-stage regression |
plot.iqResids | Plot the standardized residuals |
plot.learnIQ1cm | Residual plots for the contrast mean model |
plot.learnIQ1main | Residual plots for the main effect term model |
plot.learnIQ1var | Residual plots for the contrast variance model |
plot.learnIQ2 | Residual plots for the second-stage regression |
plot.qLearnS1 | Residual plots for the first-stage regression |
plot.qLearnS2 | Residual plots for the second-stage regression |
print.summary.learnIQ1cm | IQ-learning: contrast mean regression summary |
print.summary.learnIQ1main | IQ-learning: main effect regression summary |
print.summary.learnIQ1var | IQ-learning: contrast variance modeling summary |
print.summary.learnIQ2 | IQ-learning: second-stage regression summary |
print.summary.qLearnS1 | Q-learning: first-stage regression summary |
print.summary.qLearnS2 | Q-learning: second-stage regression summary |
print.summary.value | Estimate plug-in value |
qLearnQ1 | Q-learning: Recommend stage 1 treatment |
qLearnQ2 | Q-learning: Recommend stage 2 treatment |
qLearnS1 | Q-learning: first-stage regression |
qLearnS1.default | Q-learning: first-stage regression |
qLearnS1.formula | Q-learning: first-stage regression |
qLearnS1Est | Q-learning: first-stage regression |
qLearnS2 | Q-learning: second-stage regression |
qLearnS2.default | Q-learning: second-stage regression |
qLearnS2.formula | Q-learning: second-stage regression |
qLearnS2Est | Q-learning: second-stage regression |
summary.learnIQ1cm | IQ-learning: contrast mean regression summary |
summary.learnIQ1main | IQ-learning: main effect regression summary |
summary.learnIQ1var | IQ-learning: contrast variance modeling summary |
summary.learnIQ2 | IQ-learning: second-stage regression summary |
summary.qLearnS1 | Q-learning: first-stage regression summary |
summary.qLearnS2 | Q-learning: second-stage regression summary |
summary.value | Estimate plug-in value |
value | Estimate plug-in value |
value.default | Estimate plug-in value |
valueEst | Estimate plug-in value |