MGPS_uni_opt: HGZIPS - MGPS (uniroot-optimization)

In sidiwang/hgzips: hgzips

Description

This MGPS function.........

Usage

ProfileLogLik(alpha, Tij, weight, N, E)

MGPS_uni_opt(alpha.par, beta.par, pi.par, N, E, weight, iterations, Loglik)

Arguments

weight	set weight = rep(1, length(N)) if N and E are not squashed data, or input the weight vector corresponding to the squashed Nij vector.
N	squashed N_ij data (vector). This data can be generated by the rawProcessing function in this package.
E	squashed E_ij data (vector). This data can be generated by the rawProcessing function in this package.
alpha.par	initial shape parameter vector of the two gamma distributions for implementing the EM algprithm
beta.par	initial rate parameter vector of the two gamma distributions for implementing the EM algprithm
pi.par	initial xxxxxxx?
iterations	number of EM algorithm iterations to run
Loglik	whether to return the loglikelihood of each iteration or not (TRUE or FALSE)

Value

a list of estimated parameters and their corresponding loglikelihood

sidiwang/hgzips documentation built on Jan. 19, 2021, 4:09 p.m.