init_mle: Initialise parameter vector for maximum likelihood algorithm.
In PRIMER-e/senlm: Species environment non-linear modelling

init_mle

R Documentation

Initialise parameter vector for maximum likelihood algorithm.

Description

Find initial estimates for model parameters using smoothing splines.

Usage

init_mle(ModelInfo, Dat)

Arguments

`ModelInfo`	Model information object from set_model_info().
`Dat`	Data frame containg x and y data.

Value

Names vector containing initial parameters estimates.

Examples


## Simulate data and get initial model parameter estimates
Models <- set_models (mean_fun="gaussian", err_dist="zip")
ModelInfo <- set_model_info (Models[1,])
Pars   <- create_default_par_list (models=Models)
Data   <- create_simulated_datasets (Pars, seed=12345)
theta  <- init_mle (ModelInfo, Dat=data.frame(x=Data$x, y=Data$gaussian_zip))
print (rbind (Pars[[1]]$theta, theta))

PRIMER-e/senlm documentation built on Nov. 20, 2022, 2:38 a.m.