A B C D E F I K L M N O P Q R S U W Z
| RoBMA-package | RoBMA: Robust Bayesian meta-analysis | 
| Anderson2010 | 27 experimental studies from Anderson et al. (2010) that meet the best practice criteria | 
| Andrews2021 | 36 estimates of the effect of household chaos on child executive functions with the mean age and assessment type covariates from a meta-analysis by Andrews et al. (2021) | 
| Bem2011 | 9 experimental studies from Bem (2011) as described in Bem et al. (2011) | 
| BiBMA | Estimate a Bayesian Model-Averaged Meta-Analysis of Binomial Data | 
| BiBMA.reg | Estimate a Robust Bayesian Meta-Analysis Meta-Regression | 
| check_RoBMA | Check fitted RoBMA object for errors and warnings | 
| check_RoBMA_convergence | Check fitted RoBMA object for errors and warnings | 
| check_setup | Prints summary of '"RoBMA"' ensemble implied by the specified priors | 
| check_setup.BiBMA | Prints summary of '"BiBMA.reg"' ensemble implied by the specified priors and formula | 
| check_setup.reg | Prints summary of '"RoBMA.reg"' ensemble implied by the specified priors and formula | 
| check_setup.RoBMA | Prints summary of '"RoBMA"' ensemble implied by the specified priors | 
| check_setup.RoBMA.reg | Prints summary of '"RoBMA.reg"' ensemble implied by the specified priors and formula | 
| combine_data | Combines different effect sizes into a common metric | 
| contr.independent | Independent contrast matrix | 
| contr.meandif | Mean difference contrast matrix | 
| contr.orthonormal | Orthornomal contrast matrix | 
| d2logOR | Effect size transformations | 
| d2OR | Effect size transformations | 
| d2r | Effect size transformations | 
| d2z | Effect size transformations | 
| diagnostics | Checks a fitted RoBMA object | 
| diagnostics_autocorrelation | Checks a fitted RoBMA object | 
| diagnostics_density | Checks a fitted RoBMA object | 
| diagnostics_trace | Checks a fitted RoBMA object | 
| dwnorm | Weighted normal distribution | 
| effect_sizes | Effect size transformations | 
| forest | Forest plot for a RoBMA object | 
| interpret | Interprets results of a RoBMA model. | 
| is.BiBMA | Reports whether x is a RoBMA object | 
| is.NoBMA | Reports whether x is a RoBMA object | 
| is.NoBMA.reg | Reports whether x is a RoBMA object | 
| is.RoBMA | Reports whether x is a RoBMA object | 
| is.RoBMA.reg | Reports whether x is a RoBMA object | 
| Kroupova2021 | 881 estimates from 69 studies of a relationship between employment and educational outcomes collected by Kroupova et al. (2021) | 
| logOR2d | Effect size transformations | 
| logOR2OR | Effect size transformations | 
| logOR2r | Effect size transformations | 
| logOR2z | Effect size transformations | 
| Lui2015 | 18 studies of a relationship between acculturation mismatch and intergenerational cultural conflict collected by Lui (2015) | 
| marginal_plot | Plots marginal estimates of a fitted RoBMA regression object | 
| marginal_summary | Summarize marginal estimates of a fitted RoBMA regression object | 
| NoBMA | Estimate a Bayesian Model-Averaged Meta-Analysis | 
| NoBMA.reg | Estimate a Bayesian Model-Averaged Meta-Regression | 
| n_d | Sample sizes to standard errors calculations | 
| n_r | Sample sizes to standard errors calculations | 
| n_z | Sample sizes to standard errors calculations | 
| OR2d | Effect size transformations | 
| OR2logOR | Effect size transformations | 
| OR2r | Effect size transformations | 
| OR2z | Effect size transformations | 
| plot.RoBMA | Plots a fitted RoBMA object | 
| plot_models | Models plot for a RoBMA object | 
| Poulsen2006 | 5 studies with a tactile outcome assessment from Poulsen et al. (2006) of the effect of potassium-containing toothpaste on dentine hypersensitivity | 
| print.marginal_summary.RoBMA | Prints marginal_summary object for RoBMA method | 
| print.RoBMA | Prints a fitted RoBMA object | 
| print.summary.RoBMA | Prints summary object for RoBMA method | 
| prior | Creates a prior distribution | 
| prior_factor | Creates a prior distribution for factors | 
| prior_informed | Creates an informed prior distribution based on research | 
| prior_none | Creates a prior distribution | 
| prior_PEESE | Creates a prior distribution for PET or PEESE models | 
| prior_PET | Creates a prior distribution for PET or PEESE models | 
| prior_weightfunction | Creates a prior distribution for a weight function | 
| pwnorm | Weighted normal distribution | 
| qwnorm | Weighted normal distribution | 
| r2d | Effect size transformations | 
| r2logOR | Effect size transformations | 
| r2OR | Effect size transformations | 
| r2z | Effect size transformations | 
| RoBMA | Estimate a Robust Bayesian Meta-Analysis | 
| RoBMA.get_option | Options for the RoBMA package | 
| RoBMA.options | Options for the RoBMA package | 
| RoBMA.package | RoBMA: Robust Bayesian meta-analysis | 
| RoBMA.reg | Estimate a Robust Bayesian Meta-Analysis Meta-Regression | 
| RoBMA_control | Control MCMC fitting process | 
| RoBMA_options | Options for the RoBMA package | 
| RoBMA_package | RoBMA: Robust Bayesian meta-analysis | 
| rwnorm | Weighted normal distribution | 
| sample_sizes | Sample sizes to standard errors calculations | 
| set_autofit_control | Control MCMC fitting process | 
| set_autofit_control, | Control MCMC fitting process | 
| set_convergence_checks | Control MCMC fitting process | 
| set_default_binomial_priors | Set default prior distributions for binomial meta-analytic models | 
| set_default_priors | Set default prior distributions | 
| se_d | Sample sizes to standard errors calculations | 
| se_d2se_logOR | Standard errors transformations | 
| se_d2se_r | Standard errors transformations | 
| se_d2se_z | Standard errors transformations | 
| se_logOR2se_d | Standard errors transformations | 
| se_logOR2se_r | Standard errors transformations | 
| se_logOR2se_z | Standard errors transformations | 
| se_r | Sample sizes to standard errors calculations | 
| se_r2se_d | Standard errors transformations | 
| se_r2se_logOR | Standard errors transformations | 
| se_r2se_z | Standard errors transformations | 
| se_z | Sample sizes to standard errors calculations | 
| se_z2se_d | Standard errors transformations | 
| se_z2se_logOR | Standard errors transformations | 
| se_z2se_r | Standard errors transformations | 
| standard_errors | Standard errors transformations | 
| summary.RoBMA | Summarize fitted RoBMA object | 
| summary_heterogeneity | Summarizes heterogeneity of a RoBMA model | 
| update.BiBMA | Updates a fitted BiBMA object | 
| update.RoBMA | Updates a fitted RoBMA object | 
| weighted_multivariate_normal | Weighted multivariate normal distribution | 
| weighted_normal | Weighted normal distribution | 
| z2d | Effect size transformations | 
| z2logOR | Effect size transformations | 
| z2OR | Effect size transformations | 
| z2r | Effect size transformations |