R: Prediction of Therapeutic Success

# Prediction of Therapeutic Success

## 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}.