Function reference • senlm

Fitting models Functions for fitting models to data.
`senlm()`	Fit species-environment non-linear model via maximum likelihood
All functions All functions exported by the package.
`create_default_par_list()`	Create default parameter list
`create_simulated_datasets()`	Create list of simulated data sets
`error_distributions()`	Error distributions
`get_constant_parnames()`	Constant parameters names
`get_err_dist_parnames()`	Error distribution parameters names
`get_mean_fun_parnames()`	Mean function parameters names
`get_parnames()`	Model parameters
`haul`	Haul data set
`haul2`	Haul data set 2
`init_mle()`	Initialise parameter vector for maximum likelihood algorithm.
`list_all_parnames()`	List all model parameters
`mean_functions()`	Mean functions
`msenlm()`	Fit multiple species-environment non-linear models via maximum likelihood
`msenlm.best()`	Find the best model for each response variable from an msenlm object
`mu_constant()`	Constant mean function.
`mu_meanfunction()`	Evaluate mean function
`plot(<senlm>)`	Plot senlm model fit over data
`predict(<senlm>)`	Predict from senlm model fit
`print_models()`	Mean functions and error distributions
`senlm()`	Fit species-environment non-linear model via maximum likelihood
`set_model_info()`	Set model info
`set_models()`	Set models
`set_sim_par()`	Set simulated model parameters
`simulate(<senlm>)`	Simulate data from senlm model fit
`summary(<msenlm>)`	Print summary of senlm multiple model fit
`summary(<senlm>)`	Print summary of senlm model fit

Reference