Package index • embr

All functions

IC(): Information Criterion

R2(): R2

R2(<mb_analysis>): R2

add_analyses(): Add analyses

add_models(): Add model(s)

analyse(): Analyse Models

analyse(<character>): Analyse Character Model

analyse(<mb_model>): Analyse Single Model

analyse(<mb_models>): Analyse

analyse1(): Analyse

analyse_residuals(): Analyse Residuals

analyses(): MB Analyses

as.analyses(): Coerce to an mb_analyses object

as.model(): Coerce to an mb_model object

as.models(): Coerce to an mb_models object

backwards(): Backwards

base_model(): Base Model

check_mb_analysis(): Check MB Analysis

check_mb_code(): Check MB Code

check_mb_model(): Check MB Model

check_model_pars(): Check Model Parameters

check_uniquely_named_list(): Check Uniquely Named List

code(): Code

coef(<mb_analyses>): Coef TMB Analyses

coef(<mb_analysis>): Coef JAGS Analysis

coef(<mb_meta_analyses>): Coef TMB Meta Analyses

coef(<mb_meta_analysis>): Coef TMB Meta Analysis

coef_profile(): Coef Profile

coef_profile(<mb_analyses>): Coef TMB Analyses

coef_profile(<mb_analysis>): Coef Profile Analysis

coef_profile(<mb_meta_analyses>): Coef TMB Meta Analyses

coef_profile(<mb_meta_analysis>): Coef TMB Meta Analysis

comment_string(): Comment String

data_set(): Data Set

density99: Density99

drop_pars(): Drop pars

elapsed(): Elapsed

estimates(<mb_analysis>): Estimates

fitted(<mb_analysis>): Fitted Values

get_analysis_mode(): Get Analysis Mode

get_model(): Retrieve model

is.lmb_analysis(): Is a LMB Analysis

is.lmb_code(): Is a LMB Code

is.lmb_model(): Is a LMB Model

is.mb_analyses(): Is MB Analyses?

is.mb_analysis(): Is MB Analysis?

is.mb_code(): Is MB Code?

is.mb_model(): Is MB Model?

is.mb_models(): Is MB Models?

is.mb_null_analysis(): Is MB Null Analysis?

is.syntactic(): Is syntactic

is_bayesian(): Test if is bayesian

is_frequentist(): Test if is frequentist

is_namedlist(): Is Named List

load_model(): Load Model

logLik(<mb_analysis>): Log-Likelihood

logLik(<mb_null_analysis>): Log-Likelihood

log_lik_draws(<mb_analysis>): Extract log likelihood draws

log_prior_draws(<mb_analysis>): Extract log prior draws

make_all_models(): Make All Models

mb_code() new_mb_code(): MB Code

mcmc_derive(<mb_analyses>): Derive

mcmc_derive(<mb_analysis>): Derive

mcmc_derive_data(<mb_analyses>): Derive Data

mcmc_derive_data(<mb_analysis>): Derive Data

model(): MB Model

models(): MB Models

modify_data(): Modify Data

modify_new_data(): Modify New Data

monitor(): pars to monitor

new_analysis(): MB Analysis

`new_expr<-`(): new_expr set

new_expr(): new_expr

ngens(): Total Number of MCMC simulations generated (including warmup)

nmodels(): Number Models

nterms(<mb_analysis>): Number of terms

nthin(): Thinning Rate

params: Parameter Descriptions

plot(<mb_analysis>): Plot Analysis

plot_data(): Plot Data

plot_residuals(): Plot Residuals

posterior_predictive_check(): Posterior Predictive Check

posterior_predictive_check(<mb_analysis>): Posterior Predictive Check

powerscale_sensitivity(<mb_analysis>): Run Power-Scaling Sensitivity Analysis

predict(<mb_analyses>): Predict

predict(<mb_analysis>): Predict

random_effects(): Random Effects

reanalyse(): Reanalyse

reanalyse(<mb_analyses>): Reanalyse

reanalyse(<mb_analysis>): Reanalyse

reanalyse(<mb_meta_analyses>): Reanalyse

reanalyse(<mb_meta_analysis>): Reanalyse

reanalyse1(): Reanalyse

residuals(<mb_analysis>): Residuals

rm_comments(): Removes comments from the template strings(s) of an mb object or a character vector.

sample_size(): Sample Size

scalar_nlist(): Scalar Named List

sd_priors_by(): Multiply Standard Deviation of Priors By

select_rescale_data(): Select and Rescale Data

sensitivity(): Summarize model sensitivity

sensitivity(<mb_analysis>): Summarize model sensitivity

set_analysis_mode(): Set Analysis Mode

simulate_residuals(): Simulate Residuals

sort_by_ic(): Sort Analyses by IC

sort_nlist(): Sort Named List

`template<-`(): Set Template

template(): Template

terms(<mb_analysis>): Terms

update_model(): Update MB Model