Description Usage Arguments Value Note
View source: R/utility_functions.R
calculates likelihood function. Used to assess convergence of fitting algorithm. This corresponds to the Q(theta) function in the paper
1 2 |
x |
Design matrix of dimension |
y |
response variable (matrix form) of dimension |
beta |
p x 1 matrix of main effect estimates |
gamma |
p*(p-1)/2 x 1 matrix of gamma estimates |
weights |
adaptive weights calculated by |
lambda.beta |
a single tuning parameter for main effects |
lambda.gamma |
a single tuning parameter for gammas |
main.effect.names |
character vector of main effects names |
interaction.names |
character vector of interaction names. must be
separated by a colon (e.g. |
value of likelihood function
you dont use the intercept in the calculation of the Q function because its not being penalized
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