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 |