Description Usage Arguments Details Value Examples
Computes parameter bounds to be used in L-BFGS-B mle optimization.
1 |
data |
data frame containing cols y (positive outcome with zeros) and z (treatment). |
For the input data frame, column z is the dummy variable for treatment. If z = 1, then the observation has received treatment.
If z = 0, then the observation has not received treatment.
Each strata must have at least three observations.
According to RDocumentation, the L-BFGS-B method for optimization is taken from Byrd et. al. (1995), allowing box constraints with
upper and lower bound.
The maximum and lowest possible values for segment proportions, mean, and variance.
1 2 | sim = sim_latent_strat(n=10000, piA=0.2, piB=0.1, muA1=5, muA0=4.5, muB1=3, sigma=0.3)
bounds_ls(sim$data)
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