Prediction of Therapeutic Success

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Documentation for package ‘EffectTreat’ version 1.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

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
Min.Max.Multivar.PCA	Minimum and maximum values for the multivariate predictive causal association (PCA) in the continuous-continuous case
Min.R2.delta	Compute minimum R^2_{delta} for desired prediction accuracy
Multivar.PCA.ContCont	Compute the multivariate predictive causal association (PCA) 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 Min.R2.delta	Plot R^2_{delta} as a function of delta.
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.Min.R2.delta	Plot R^2_{delta} as a function of delta.
plot.Multivar.PCA.ContCont	Plots the Predictive Causal Association 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.Multivar.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.Multivar.ContCont	Compute the predicted treatment effect on the true endpoint of a patient based on his or her observed vector of pretreatment predictor values 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}.