All functions

amend()

Amends an existing bayesmanecfit object, for example, by adding or removing fitted models.

autoplot(<bayesmanecfit>)

autoplot.bayesmanecfit

autoplot(<bayesnecfit>)

autoplot.bayesnecfit

average_endpoints()

average_endpoints

bayesmanecfit-class

Class bayesmanecfit of models fitted with the brms package

bayesnec-package

The 'bayesnec' package.

bayesnecfit-class

Class bayesnecfit of models fitted with the brms package

bayesnecformula()

Set up a model formula for use in bayesnec

beta_binomial2

Custom beta-binomial family

beta_binomial2_lpmf()

beta_binomial2_lpmf

beta_binomial2_rng()

beta_binomial2_rng

bnec()

bnec

bnecfit-class

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()

check_chains

check_chains(<bayesmanecfit>)

check_chains.bayesmanecfit

check_chains(<bayesnecfit>)

check_chains.bayesnecfit

check_chains(<default>)

check_chains.default

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_endpoints()

compare_endpoints

compare_fitted()

compare_fitted

compare_posterior()

compare_posterior

dispersion()

Posterior dispersion

ecx()

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

expand_manec()

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

expand_nec()

Extracts a range of statistics from a prebayesnecfit object.

formula(<bayesmanecfit>)

formula.bayesmanecfit

formula(<bayesnecfit>)

formula.bayesnecfit

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

log_lik_beta_binomial2()

log_lik_beta_binomial2

make_brmsformula()

Expose the final brmsformula

manec_example

Example bayesmanecfit object

manecsummary-class

Class manecsummary of models fitted with the brms package

model.frame(<bayesmanecfit>)

model.frame.bayesmanecfit

model.frame(<bayesnecfit>)

model.frame.bayesnecfit

model.frame(<bayesnecformula>)

Extracting the model frame from a bayesnecformula

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

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(<bayesmanecfit>)

plot.bayesmanecfit

plot(<bayesnecfit>)

plot.bayesnecfit

`+`(<bnecfit>)

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

posterior_epred_beta_binomial2()

posterior_epred_beta_binomial2

posterior_predict_beta_binomial2()

posterior_predict_beta_binomial2

prebayesnecfit-class

Class prebayesnecfit of models fitted with the brms package

predict(<bayesmanecfit>)

predict.bayesmanecfit

predict(<bayesnecfit>)

predict.bayesnecfit

print(<bayesmanecfit>)

print.bayesmanecfit

print(<bayesnecfit>)

print.bayesnecfit

print(<manecsummary>)

print.manecsummary

print(<necsummary>)

print.necsummary

pull_out()

pull_out

pull_prior()

pull_prior

rhat(<bayesmanecfit>)

rhat.bayesmanecfit

rhat(<bayesnecfit>)

rhat.bayesnecfit

sample_priors()

sample_priors

show_params()

show_params

summary(<bayesmanecfit>)

summary.bayesmanecfit

summary(<bayesnecfit>)

summary.bayesnecfit

update(<bnecfit>)

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