try_theta: try_theta is a function which creates the model parameters...

In L-Ippel/SEMA: Streaming Expectation Maximization Approximation

Description

try_theta is a function which creates the model parameters and objects related to them. If the input is not a list, this function creates a list which is also a "sema" class with all needed objects stored within.

Usage

try_theta(theta, n_fixed, n_random, start_resid_var, start_random_var,
  start_fixed_coef, prior_n, prior_j)

Arguments

theta	Either an empty object or an object with class list and sema.
n_fixed	Number of fixed effects.
n_random	Number of random effects.
start_resid_var	Starting values residual variance, default starting value equals 1.
start_random_var	Starting values variance of random effects, default starting values equal 1.
start_fixed_coef	Starting values fixed effect coefficients, default starting values equal 1.
prior_n	Weight starting value residual variance.
prior_j	Weight starting values fixed effects coefficients and random effects variance.

Value

If theta is a list, it returns theta as it was supplied, else a list with needed objects is returned.

L-Ippel/SEMA documentation built on May 30, 2019, 8:23 a.m.