error_distributions: Error distributions

In PRIMER-e/senlm: Species environment non-linear modelling

Error distributions

Description

Display error distributions of given class.

Usage

error_distributions(err_dist = NULL, err_class = NULL)

Arguments

err_dist

Vector of error distribution(s).

err_class

String that indicates the which 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

If no arguments supplied, return a data frame listing all possible error distributions with corresponding error classes; if a vector of error classes is supplied, return corresponding error distributions; if a vector of error distributions is supplied, return corresponding error classes.

Examples

## Print data frame of all error distributions with corresponding error classes
error_distributions()

## Print all error distributions
error_distributions(err_class="all")

## Print error distributions for count data
error_distributions(err_class="count")

## Print error classes for poisson and gaussian data
error_distributions(err_dist=c("poisson", "gaussian"))

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