Description Usage Arguments Value
calculates likelihood function. Used to assess convergence of fitting algorithm. This corresponds to the Q(theta) function in the paper
1 
R 
residual 
nobs 
number of observations 
lambda 
a user supplied lambda sequence. Typically, by leaving this
option unspecified users can have the program compute its own lambda
sequence based on 
alpha 
the mixing tuning parameter, with 0<α<1. It controls the penalization strength between the main effects and the interactions. The penalty is defined as λ(1α)(w_eβ_e+ ∑ w_j β_j_2) + λα(∑ w_{je} γ_j) Larger values of

we 
penalty factor for exposure variable 
wj 
penalty factor for main effects 
wje 
penalty factor for interactions 
betaE 
estimate of exposure effect 
theta_list 
estimates of main effects 
gamma 
estimates of gamma parameter 
value of the objective function
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