params: Parameter Descriptions for bboutools Functions

paramsR Documentation

Parameter Descriptions for bboutools Functions

Description

Parameter Descriptions for bboutools Functions

Arguments

...

Unused parameters.

data

The data.frame.

x

The object.

object

The object.

by

A string of the column indicating group to derive predictions at.

conf_level

A number between 0 and 1 of the confidence level.

include_random_effects

A flag indicating whether to include random effects in coefficient table. Standard deviation estimates will always be included.

estimate

A function to calculate the estimate.

min_random_year

A whole number of the minimum number of years required to fit year as a random effect (as opposed to a fixed effect).

year_trend

A flag indicating whether to fit a year trend effect. Year trend cannot be fit if there is also a fixed year effect (as opposed to random effect).

include_uncertain_morts

A flag indicating whether to include uncertain mortalities in total mortalities.

adult_female_proportion

A number between 0 and 1 of the expected proportion of adults that are female. If NULL, the proportion is estimated from the data (i.e., Cows ~ Binomial(adult_female_proportion, Cows + Bulls)) and a prior of dbeta(65, 35) is used. This prior can be changed via the priors argument.

sex_ratio

A number between 0 and 1 of the proportion of females at birth.

year

A flag indicating whether to predict by year.

month

A flag indicating whether to predict by month.

nthin

A whole number of the thinning rate.

niters

A whole number of the number of iterations per chain after thinning and burn-in.

priors

A named vector of the parameter prior distribution values. Any missing values are assigned their default values in priors_survival() and priors_recruitment(). If NULL, all parameters are assigned their default priors.

inits

A named vector of the parameter initial values. Any missing values are assigned a default value of 0. If NULL, all parameters are assigned a default value of 0.

survival

An object of class 'bboufit_survival' (output of bb_fit_survival()).

recruitment

An object of class 'bboufit_recruitment' (output of bb_fit_recruitment())

quiet

A flag indicating whether to suppress messages and progress bars.

term

A string of the term name.

sig_fig

A whole number of the significant figures to round estimates by.

original_scale

A flag indicating whether to return the estimates in the original scale.

year_random

A flag indicating whether to include year random effect. If FALSE, year is fitted as a fixed effect.

year_start

A whole number between 1 and 12 indicating the start of the caribou (i.e., biological) year. By default, April is set as the start of the caribou year.

rhat

A number greater than 1 of the maximum rhat value required for model convergence.

params

A named list of the parameter names and values to simulate.


poissonconsulting/bboutools documentation built on July 16, 2025, 11:14 p.m.