Introduction \label | The causalSLSE package \label | The Semiparametric LSE model | The starting knots \label | Creating a SLSE model \label | Selecting the knots manually \label | Methods for slseModel objects \label | The causal-SLSE model (cslseModel) \label | Setting the knots manually \label | Estimating the model \label | The predict method \label | The plot method \label | Factors, interactions and functions of confounders \label | Optimal selection of the knots \label | Selection for slseModel versus cslseModel objects | Selections saved in slseModel objects. | Select a saved selection with update | The causalSLSE method for cslseFit objects \label | The extract method \label | The causalSLSE method for cslseModel objects \label | The causalSLSE method for formula objects \label | Examples \label | A simulated data set from Model 1 \label | A simulated data set from Model 2 \label | A simulated data set from Model 3 \label | A simulated data set with product terms \label | Summary of methods and objects \label | Experiments (to be removed before publishing) | References

A very brief review of the GEL method | The solveGel Method | The gelFit Method | The evalGel Method | One function to fit them all: gel4 | GEL confidence intervals for the mean | Some extra codes

Single Equation | Systems of Equations | Some extra codes