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 |