Description Usage Arguments Value
View source: R/random_effects_model.R
This is an S3 object constructor helper function for class random_effects_model which inherics from cpmmc class. This class uses the normal_log_IS_estimate function to estimate log likelihood using importance sampling.
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data, |
observed data points |
theta_0, |
initialisation of the vector of parameters of interest |
u_0, |
initialisation of the auxiliary random variables |
rho, |
correlation parameter used to sample auxiliary random variables |
log_theta_prior_density, |
log density function for the prior distribution of theta, default is the standard Gaussian distribution |
log_theta_proposal_density, |
log density function for theta proposals, default is the random walk proposal using the standard Gaussian distribution |
theta_proposal_sampler, |
distribution function to sample new theta proposals, default is the standard Gaussian distribution |
random_effects_model object
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