print_models: Mean functions and error distributions
In PRIMER-e/senlm: Species environment non-linear modelling

print_models

R Documentation

Mean functions and error distributions

Description

Display all mean functions and error distributions of given classes.

Usage

print_models(mean_class = "all", err_class = "all")

Arguments

mean_class

String that indicates the class of mean functions to list. Possible values are:

"test": Constant and uniform mean functions.
"main": Main mean functions.
"sub": Special cases of main mean functions.
"all": All mean functions.

err_class

String that indicates the class of error distributions to list.

"binary": 0/1 data; ("bernoulli").
"binomial": Binomial data represented as counts or proportions; ("binomial.count", "binomial.prop").
"percentage": [0-1] data; ("tab", "zitab").
"count": Count data; ("poisson", "negbin", "zip", "zinb", "zipl", "zinbl", "zipl.mu", "zinbl.mu").
"abundance": Non-negative continous data; ("gaussian", "tweedie", "zig", "zigl", "zigl.mu", "ziig", "ziigl", "ziigl.mu").

Value

List containing vectors of mean functions and error distributions of given classes.

Examples


## Display all mean functions and error distributions
print_models()

## Display main mean functions and count data error distributions
print_models(mean_class="main", err_class="count")

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