`R/simulate_data.R`

`sim_semicontinuous_data.Rd`

Generates semicontinuous data with heterogeneity of treatment effect

sim_semicontinuous_data(n.obs = 1000, n.vars = 25)

n.obs | number of observations |
---|---|

n.vars | number of variables. Must be at least 10 |

returns list with values `y`

for outcome, `x`

for design matrix, `trt`

for
treatment assignments, `betanonzero`

for true coefficients for treatment-covariate interactions for model for
whether or not a response is nonzero, `betapos`

for true coefficients for treatment-covariate interactions
for positive model, `treatment_risk_ratio`

for the true covariate-conditional treatment effect risk ratio for
each observation, `pi.x`

for the true underlying propensity score