Robust Bayesian Meta-Analyses


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Documentation for package ‘RoBMA’ version 2.1.1

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RoBMA-package RoBMA: Robust Bayesian meta-analysis
Anderson2010 27 experimental studies from Anderson et al. (2010) that meet the best practice criteria
Bem2011 9 experimental studies from Bem (2011) as described in Bem et al. (2011)
check_RoBMA Check fitted RoBMA object for errors and warnings
check_setup Prints summary of '"RoBMA"' ensemble implied by the specified priors
combine_data Combines different effect sizes into a common metric
d2logOR Effect size transformations
d2OR Effect size transformations
d2r Effect size transformations
d2z Effect size transformations
diagnostics 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.RoBMA Reports whether x is a RoBMA object
logOR2d Effect size transformations
logOR2OR Effect size transformations
logOR2r Effect size transformations
logOR2z Effect size transformations
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.RoBMA Prints a fitted RoBMA object
print.summary.RoBMA Prints summary object for RoBMA method
prior Creates a prior distribution
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_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
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
update.RoBMA Updates a fitted RoBMA object
weighted_normal Weighted normal distribution
z2d Effect size transformations
z2logOR Effect size transformations
z2OR Effect size transformations
z2r Effect size transformations
_PACKAGE RoBMA: Robust Bayesian meta-analysis