fit_haiti1: Fit Haiti 1

In zjiang2/haitipkg: R Package for Haiti Article

Fit Haiti 1

Description

This simple function takes as input starting values for Model 1 parameters, as well as hyperparameters to the IF2 algorithm and fits Model 1 using these input values.

Usage

fit_haiti1(start_params, NMIF, NP, NP_EVAL, NREPS_EVAL, RW_SD, COOLING = 0.5)

Arguments

start_params	A numeric vector of parameters for Model 1.
NMIF	Integer number of IF2 iterations.
NP	Integer number of particles for the IF2 algorithm.
NP_EVAL	Integer number of particles to use in the particle filter that is used to estimate the log-likelihood of the fitted model.
NREPS_EVAL	Number of repeated likelihood evaluations.
RW_SD	Random walk standard deviations for the IF2 algorithm.
COOLING	Cooling rate for the IF2 algorithm.

Value

A numeric vector containing the log-likelihood estimate of the model parameters, an estimate of the standard error of the estimated likelihood, and the parameter vector resulting from the IF2 algorithm.

zjiang2/haitipkg documentation built on March 1, 2024, 11:34 p.m.