Reference

All functions

amend()

Amends an existing bayesmanecfit object

autoplot(<bayesnecfit>) autoplot(<bayesmanecfit>)

bayesnec standard ggplot2 plotting method

average_estimates()

average_estimates

bayesmanecfit-class bayesmanecfit

Class bayesmanecfit of models fitted with the brms package

bayesnec-package bayesnec

The 'bayesnec' package.

bayesnecfit-class bayesnecfit

Class bayesnecfit of models fitted with the brms package

bayesnecformula()

Set up a model formula for use in bayesnec

bnec()

bnec

bnec_newdata()

bnec_newdata

bnecfit-class bnecfit

Class bnecfit of models fitted with function bnec

c(<bnecfit>)

Concatenate multiple bnecfit objects into one single bayesmanecfit object containing Bayesian model averaging statistics.

check_chains()

Checking chain convergence

check_formula()

Check if input model formula is appropriate to use with bayesnec

check_priors()

Plots the prior and posterior parameter probability densities from an object of class bayesnecfit or bayesmanecfit.

compare_estimates()

compare_estimates

compare_fitted()

compare_fitted

compare_posterior()

compare_posterior

dispersion()

Posterior dispersion

ecx()

Extracts the predicted ECx value

expand_manec()

Extracts a range of statistics from a list of prebayesnecfit objects.

expand_nec()

Extracts a range of statistics from a prebayesnecfit object.

fitted(<bayesnecfit>) fitted(<bayesmanecfit>)

Generates mean posterior linear predictions for objects fitted by bnec

formula(<bayesnecfit>) formula(<bayesmanecfit>)

Retrieve formulas from models fitted by bnec

ggbnec_data()

Creates the data.frame for plotting with autoplot.

herbicide

Herbicide phytotoxicity data

is_manecsummary()

Checks if argument is a manecsummary object

is_necsummary()

Checks if argument is a necsummary object

make_brmsformula()

Expose the final brmsformula

manec_example

Example bayesmanecfit object

manecsummary-class manecsummary

Class manecsummary of models fitted with the brms package

model.frame(<bayesnecfit>) model.frame(<bayesmanecfit>) model.frame(<bayesnecformula>)

Model.frame methods in bayesnec.

models()

models

nec()

Extracts the predicted NEC value as desired from an object of class bayesnecfit or bayesmanecfit.

nec_data

Example data of non-linear decay

necsummary-class necsummary

Class necsummary of models fitted with the brms package

nsec()

Extracts the predicted NSEC value as desired from an object of class bayesnecfit or bayesmanecfit.

plot(<bayesnecfit>) plot(<bayesmanecfit>)

Generates a plot for objects fitted by bnec

`+`(<bnecfit>)

"Add" multiple bnecfit objects into one single bayesmanecfit object containing Bayesian model averaging statistics.

posterior_epred(<bayesnecfit>) posterior_epred(<bayesmanecfit>)

Generates posterior linear predictions for objects fitted by bnec

posterior_predict(<bayesnecfit>) posterior_predict(<bayesmanecfit>)

Generates posterior predictions for objects fitted by bnec

prebayesnecfit-class prebayesnecfit

Class prebayesnecfit of models fitted with the brms package

predict(<bayesnecfit>) predict(<bayesmanecfit>)

Generates mean posterior predictions for objects fitted by bnec

print(<bayesnecfit>) print(<bayesmanecfit>)

Prints a summary for objects fitted by bnec

pull_brmsfit()

Extract and object of class brmsfit from bayesnecfit or bayesmanecfit.

pull_out()

pull_out

pull_prior()

pull_prior

"beta_binomial"

Custom beta-binomial family

rhat(<bayesnecfit>) rhat(<bayesmanecfit>)

Extract Diagnostic Quantities of 'brms' Models

sample_priors()

sample_priors

show_params()

show_params

step()

step

summary(<bayesnecfit>) summary(<bayesmanecfit>)

Generates a summary for objects fitted by bnec

update(<bnecfit>)

Update an object of class bnecfit as fitted by function bnec.