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
`analyse(<character>)`	Analyse
`analyse(<mb_model>)`	Analyse
`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
`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
`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
`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

Reference

All functions