Prediction of Therapeutic Success

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Documentation for package ‘EffectTreat’ version 0.1-11

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CausalPCA.ContCont Show a causal diagram of the median correlation between the counterfactuals in the continuous-continuous setting
Example.Data An example dataset
GoodPretreatContCont Examine the plausibility of finding a good pretreatment predictor in the Continuous-continuous case
PCA.ContCont Compute the predictive causal association (PCA) in the Continuous-continuous case
plot GoodPretreatContCont Graphically illustrates the theoretical plausibility of finding a good pretreatment predictor in the continuous-continuous case
plot PCA.ContCont Plots the Predictive Causal Association in the continuous-continuous case
plot Predict.Treat.ContCont Plots the distribution of the individual causal effect based on S.
plot Predict.Treat.T0T1.ContCont Plots the distribution of the individual causal effect based on S for a specific assumed correlation between the counterfactuals.
plot.GoodPretreatContCont Graphically illustrates the theoretical plausibility of finding a good pretreatment predictor in the continuous-continuous case
plot.PCA.ContCont Plots the Predictive Causal Association in the continuous-continuous case
plot.Predict.Treat.ContCont Plots the distribution of the individual causal effect based on S.
plot.Predict.Treat.T0T1.ContCont Plots the distribution of the individual causal effect based on S for a specific assumed correlation between the counterfactuals.
Predict.Treat.ContCont Compute the predicted treatment effect on the true endpoint of a patient based on his or her observed pretreatment predictor value in the continuous-continuous setting
Predict.Treat.T0T1.ContCont Compute the predicted treatment effect on the true endpoint of a patient based on his or her observed pretreatment predictor value in the continuous-continuous setting for a particular (single) value of rho_{T0T1}.