| metamisc-package | Meta-Analysis of Diagnosis and Prognosis Research Studies |
| acplot | Plot the autocorrelation of a Bayesian meta-analysis model |
| acplot.mcmc.list | Plot the autocorrelation of a Bayesian meta-analysis model |
| acplot.uvmeta | Plot the autocorrelation of a Bayesian meta-analysis model |
| acplot.valmeta | Plot the autocorrelation of a Bayesian meta-analysis model |
| ccalc | Calculate the concordance statistic |
| Collins | Collins data |
| cor2cov | Convert a correlation matrix into a covariance matrix |
| Daniels | Daniels and Hughes data |
| dplot | Posterior distribution of estimated model parameters |
| dplot.mcmc.list | Posterior distribution of estimated model parameters |
| dplot.uvmeta | Plot the prior and posterior distribution of a meta-analysis model |
| dplot.valmeta | Plot the prior and posterior distribution of a meta-analysis model |
| DVTipd | Hypothetical dataset for diagnosis of Deep Vein Thrombosis (DVT) |
| DVTmodels | Risk prediction models for diagnosing Deep Venous Thrombosis (DVT) |
| EuroSCORE | Predictive performance of EuroSCORE II |
| fat | Regression tests for detecting funnel plot asymmetry |
| Fibrinogen | Meta-analysis of the association between plasma fibrinogen concentration and the risk of coronary heath disease |
| fitted.metapred | Extract Model Fitted Values |
| forest | Forest plot |
| forest.default | Forest plot |
| forest.metapred | Forest plot of a metapred fit |
| forest.mp.cv.val | Forest plot of a validation object. |
| forest.perf | Forest plot of a validation object. |
| Framingham | Predictive performance of the Framingham Risk Score in male populations |
| gelmanplot | Gelman-Rubin-Brooks plot |
| gelmanplot.mcmc.list | Gelman-Rubin-Brooks plot |
| gelmanplot.uvmeta | Gelman-Rubin-Brooks plot |
| gelmanplot.valmeta | Gelman-Rubin-Brooks plot |
| gen | Generalizability estimates |
| generalizability | Generalizability estimates |
| impact | IMPACT data |
| impute_conditional_mean | Impute missing values by their conditional mean |
| inv.logit | Apply the inverse logit tranformation |
| Kertai | Kertai data |
| logit | Apply logit tranformation |
| logLik.riley | Print the log-likelihood |
| ma | Random effects meta-analysis |
| metapred | Generalized Stepwise Regression for Prediction Models in Clustered Data |
| oecalc | Calculate the total O:E ratio |
| perf | Performance estimates |
| performance | Performance estimates |
| plot.fat | Display results from the funnel plot asymmetry test |
| plot.mm_perf | Forest Plots |
| plot.riley | Plot the summary of the bivariate model from Riley et al. (2008). |
| plot.uvmeta | Forest Plots |
| plot.valmeta | Forest Plots |
| predict.riley | Prediction Interval |
| recalibrate | Recalibrate a Prediction Model |
| riley | Fit the alternative model for bivariate random-effects meta-analysis |
| rmplot | Plot the running means of a Bayesian meta-analysis model |
| rmplot.mcmc.list | Plot the running means of a Bayesian meta-analysis model |
| rmplot.uvmeta | Plot the running means of a Bayesian meta-analysis model |
| rmplot.valmeta | Plot the running means of a Bayesian meta-analysis model |
| Roberts | Roberts data |
| Scheidler | Diagnostic accuracy data |
| se | Standard errors and variances |
| stackedglm | Stacked Regression |
| subset.metapred | Subsetting metapred fits |
| summary.riley | Parameter summaries Provides the summary estimates of the alternative model for bivariate random-effects meta-analysis by Riley et al. (2008) with their corresponding standard errors (derived from the inverse Hessian). For confidence intervals, asymptotic normality is assumed. |
| summary.uvmeta | Summarizing Univariate Meta-Analysis Models |
| tau | Standard errors and variances |
| tau2 | Standard errors and variances |
| uvmeta | Univariate meta-analysis |
| uvmeta-clas | Class "uvmeta". Result of a univariate meta-analysis. |
| valmeta | Meta-analysis of prediction model performance |
| variances | Standard errors and variances |
| vcov.riley | Calculate Variance-Covariance Matrix for a Fitted Riley Model Object |
| Zhang | Meta-analysis of the prognostic role of hormone receptors in endometrial cancer |