application.covariates | Simulation of applying different dimensions of covariates |
application.lasso | Simulation of using lasso for linear and nonlinear structure... |
application.samples | Simulation of applying different number of samples |
application.sd | Simulation of using different standard errors in treatment... |
bias.evaluation | Bias Evaluation |
bias.evaluation.wrap | Bias Evaluation Wrap-up |
covariates.generation | Generation of the covariates dataset |
data.generation | Data Generation |
data.generation.wrap | Data Generation wrap-up (short-cut name: dg.w) |
error1.evaluation | l^1 error evaluation |
error2.evaluation | l^2 error evaluation |
error.evaluation.wrap | Error Evaluation Wrap-up |
g.method.estimation | Regression Method Estimation |
g.predict | Regression Method Prediction |
gps.method.estimation | Generalized Propensity Score Estimation |
gps.predict | Generalize Propensity Score Prediction |
instrument.generation | Generation of instrument variable dataset |
noise.generation | Generation of noise dataset |
plot.alternative.inside | Plot of Alternatives |
response.generation | Generation of response dataset |
running.simulation | Running Simulation |
simulation | Simulation Body Part |
simulation.alternative | The alternative of running simulation |
simulation.wrap | Simulation wrap-up (short-cut name: sim.w) |
treatment.generation | Generation of treatment dataset |
true.data.generation | True Data Generation |
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