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metamisc

This is the official repository of the R package metamisc

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Install

install.packages('metamisc')

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690

Version

0.4.0

License

GPL-3

Issues

2

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0

Stars

7

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0

Maintainer

Thomas Debray

Last Published

September 25th, 2022

Functions in metamisc (0.4.0)

Daniels

Daniels and Hughes data
Fibrinogen

Meta-analysis of the association between plasma fibrinogen concentration and the risk of coronary heath disease
DVTmodels

Risk prediction models for diagnosing Deep Venous Thrombosis (DVT)
Scheidler

Diagnostic accuracy data
acplot.mcmc.list

Plot the autocorrelation of a Bayesian meta-analysis model
dplot.uvmeta

Plot the prior and posterior distribution of a meta-analysis model
dplot.mcmc.list

Posterior distribution of estimated model parameters
Collins

Collins data
acplot.uvmeta

Plot the autocorrelation of a Bayesian meta-analysis model
DVTipd

Hypothetical dataset for diagnosis of Deep Vein Thrombosis (DVT)
cor2cov

Convert a correlation matrix into a covariance matrix
ccalc

Calculate the concordance statistic
dplot

Posterior distribution of estimated model parameters
acplot.valmeta

Plot the autocorrelation of a Bayesian meta-analysis model
fitted.metapred

Extract Model Fitted Values
forest

Forest plot
gelmanplot.valmeta

Gelman-Rubin-Brooks plot
Zhang

Meta-analysis of the prognostic role of hormone receptors in endometrial cancer
acplot

Plot the autocorrelation of a Bayesian meta-analysis model
gen

Generalizability estimates
forest.default

Forest plot
forest.metapred

Forest plot of a metapred fit
plot.riley

Plot the summary of the bivariate model from Riley et al. (2008).
forest.mp.cv.val

Forest plot of a validation object.
dplot.valmeta

Plot the prior and posterior distribution of a meta-analysis model
gelmanplot.mcmc.list

Gelman-Rubin-Brooks plot
gelmanplot.uvmeta

Gelman-Rubin-Brooks plot
inv.logit

Apply the inverse logit tranformation
perf

Performance estimates
oecalc

Calculate the total O:E ratio
gelmanplot

Gelman-Rubin-Brooks plot
metamisc-package

Meta-Analysis of Diagnosis and Prognosis Research Studies
metapred

Generalized Stepwise Regression for Prediction Models in Clustered Data
logLik.riley

Print the log-likelihood
plot.uvmeta

Forest Plots
recalibrate

Recalibrate a Prediction Model
uvmeta

Univariate meta-analysis
plot.fat

Display results from the funnel plot asymmetry test
plot.mm_perf

Forest Plots
fat

Regression tests for detecting funnel plot asymmetry
valmeta

Meta-analysis of prediction model performance
uvmeta-class

Class "uvmeta". Result of a univariate meta-analysis.
summary.uvmeta

Summarizing Univariate Meta-Analysis Models
impact

IMPACT data
rmplot

Plot the running means of a Bayesian meta-analysis model
logit

Apply logit tranformation
rmplot.mcmc.list

Plot the running means of a Bayesian meta-analysis model
ma

Random effects meta-analysis
predict.riley

Prediction Interval
plot.valmeta

Forest Plots
subset.metapred

Subsetting metapred fits
riley

Fit the alternative model for bivariate random-effects meta-analysis
se

Standard errors and variances
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.
stackedglm

Stacked Regression
impute_conditional_mean

Impute missing values by their conditional mean
rmplot.uvmeta

Plot the running means of a Bayesian meta-analysis model
vcov.riley

Calculate Variance-Covariance Matrix for a Fitted Riley Model Object
rmplot.valmeta

Plot the running means of a Bayesian meta-analysis model
Kertai

Kertai data
Framingham

Predictive performance of the Framingham Risk Score in male populations
EuroSCORE

Predictive performance of EuroSCORE II
Roberts

Roberts data