Package index
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IC() - Information Criterion
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R2() - R2
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add_analyses() - Add analyses
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add_models() - Add model(s)
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analyse() - Analyse
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analyse(<character>) - Analyse
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analyse(<mb_model>) - Analyse
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analyse(<mb_models>) - Analyse
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analyse1() - Analyse
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analyse_residuals() - Analyse Residuals
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analyses() - MB Analyses
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as.analyses() - Coerce to an mb_analyses object
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as.model() - Coerce to an mb_model object
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as.models() - Coerce to an mb_models object
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backwards() - Backwards
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base_model() - Base Model
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check_mb_analysis() - Check MB Analysis
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check_mb_code() - Check MB Code
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check_mb_model() - Check MB Model
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check_model_pars() - Check Model Parameters
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check_uniquely_named_list() - Check Uniquely Named List
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code() - Code
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coef(<mb_analyses>) - Coef TMB Analyses
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coef(<mb_analysis>) - Coef JAGS Analysis
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coef(<mb_meta_analyses>) - Coef TMB Meta Analyses
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coef(<mb_meta_analysis>) - Coef TMB Meta Analysis
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coef_profile() - Coef Profile
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coef_profile(<mb_analyses>) - Coef TMB Analyses
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coef_profile(<mb_analysis>) - Coef Profile Analysis
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coef_profile(<mb_meta_analyses>) - Coef TMB Meta Analyses
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coef_profile(<mb_meta_analysis>) - Coef TMB Meta Analysis
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comment_string() - Comment String
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data_set() - Data Set
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density99 - Density99
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drop_pars() - Drop pars
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elapsed() - Elapsed
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estimates(<mb_analysis>) - Estimates
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fitted(<mb_analysis>) - Fitted Values
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get_analysis_mode() - Get Analysis Mode
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get_model() - Retrieve model
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is.lmb_analysis() - Is a LMB Analysis
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is.lmb_code() - Is a LMB Code
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is.lmb_model() - Is a LMB Model
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is.mb_analyses() - Is MB Analyses?
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is.mb_analysis() - Is MB Analysis?
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is.mb_code() - Is MB Code?
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is.mb_model() - Is MB Model?
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is.mb_models() - Is MB Models?
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is.mb_null_analysis() - Is MB Null Analysis?
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is.syntactic() - Is syntactic
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is_bayesian() - Test if is bayesian
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is_frequentist() - Test if is frequentist
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is_namedlist() - Is Named List
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load_model() - Load Model
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logLik(<mb_analysis>) - Log-Likelihood
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logLik(<mb_null_analysis>) - Log-Likelihood
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make_all_models() - Make All Models
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mb_code()new_mb_code() - MB Code
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mcmc_derive(<mb_analyses>) - Derive
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mcmc_derive(<mb_analysis>) - Derive
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mcmc_derive_data(<mb_analyses>) - Derive Data
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mcmc_derive_data(<mb_analysis>) - Derive Data
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model() - MB Model
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models() - MB Models
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modify_data() - Modify Data
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modify_new_data() - Modify New Data
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monitor() - pars to monitor
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new_analysis() - MB Analysis
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`new_expr<-`() - new_expr set
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new_expr() - new_expr
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ngens() - Total Number of MCMC simulations generated (including warmup)
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nmodels() - Number Models
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nterms(<mb_analysis>) - Number of terms
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nthin() - Thinning Rate
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params - Parameter Descriptions
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plot(<mb_analysis>) - Plot Analysis
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plot_data() - Plot Data
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plot_residuals() - Plot Residuals
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posterior_predictive_check() - Posterior Predictive Check
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posterior_predictive_check(<mb_analysis>) - Posterior Predictive Check
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predict(<mb_analyses>) - Predict
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predict(<mb_analysis>) - Predict
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random_effects() - Random Effects
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reanalyse() - Reanalyse
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reanalyse(<mb_analyses>) - Reanalyse
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reanalyse(<mb_analysis>) - Reanalyse
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reanalyse(<mb_meta_analyses>) - Reanalyse
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reanalyse(<mb_meta_analysis>) - Reanalyse
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reanalyse1() - Reanalyse
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residuals(<mb_analysis>) - Residuals
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rm_comments() - Removes comments from the template strings(s) of an mb object or a character vector.
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sample_size() - Sample Size
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scalar_nlist() - Scalar Named List
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sd_priors_by() - Multiply Standard Deviation of Priors By
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select_rescale_data() - Select and Rescale Data
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set_analysis_mode() - Set Analysis Mode
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simulate_residuals() - Simulate Residuals
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sort_by_ic() - Sort Analyses by IC
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sort_nlist() - Sort Named List
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`template<-`() - Set Template
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template() - Template
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terms(<mb_analysis>) - Terms
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update_model() - Update MB Model