Computes the optimal sensitivity and the optimal estimator when the set C takes the form c=B*gamma with the lp norm of gamma bounded by M.
1 2  OptEstimator(eo, B, M, p = 2, spath = NULL, alpha = 0.05,
opt.criterion = "FLCI")

eo 
List containing initial estimates with the following components:

B 
matrix B with full rank and dimension d_g by d_gamma that determines the set C, where d_gamma is the number of invalid moments, and d_g is the number of moments 
M 
Bound on the norm of gamma 
p 
Parameter determining which lp norm to use, must equal

spath 
Optionally, the solution path, output of 
alpha 
determines confidence level, 
opt.criterion 
Optimality criterion for choosing optimal biasvariance tradeoff. The options are:

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