Last data update: 2014.03.03

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Results 1 - 10 of 13 found.
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forest (Package: meta4diag) :

Takes a meta4diag object produced by the function meta4diag() and draws a forest plot.
● Data Source: CranContrib
● Keywords:
● Alias: forest, forest.grid, forest.grid.meta4diag, forest.meta4diag
● 0 images

SROC (Package: meta4diag) :

Takes a meta4diag object produced by meta4diag() and makes the standard summary receiver operating chracteristic plot.
● Data Source: CranContrib
● Keywords:
● Alias: SROC, SROC.meta4diag
● 0 images

meta4diag (Package: meta4diag) :

Estimate a Bayesian bivariate hierarchical model fitted within INLA.
● Data Source: CranContrib
● Keywords:
● Alias: meta4diag
● 0 images

makePriors (Package: meta4diag) : Priors for internal use.

Prepare the given prior settings for internal use in INLA. The input of the function makePriors are prior settings for variances and correlation or the full covariance matrix, these are then transformed to the internal parameterisation that INLA requires. This function is used internally in the main function meta4diag() but can also be used as a separate function.
● Data Source: CranContrib
● Keywords:
● Alias: makePriors
● 0 images

meta4diagGUI (Package: meta4diag) :

A graphic user interface for meta4diag which is fully interactive but still provides full functionality.
● Data Source: CranContrib
● Keywords:
● Alias: meta4diagGUI
● 0 images

runModel (Package: meta4diag) : Run the bivariate model.

Run the bivariate model with INLA. This function is used within the main function meta4diag() and can also be used as a separate function.
● Data Source: CranContrib
● Keywords:
● Alias: runModel
● 0 images

crosshair.meta4diag (Package: meta4diag) :

Takes a meta4diag object produced by the function meta4diag() and produces a crosshair plot or adds such a plot to an existing plot. Crosshair plots go back to Phillips et al. (2010).
● Data Source: CranContrib
● Keywords:
● Alias: crosshair, crosshair.meta4diag
● 0 images

makeObject (Package: meta4diag) :

Takes an internal data list, an internal prior setting list and an INLA object produced by makeData(), makePriors() and runModel(), respectively and makes a meta4diag object which contains various informations for later use. This function is used in the main function meta4diag() and can also be used as a separate function.
● Data Source: CranContrib
● Keywords:
● Alias: makeObject
● 0 images

fitted (Package: meta4diag) : Get the estimated values of accuracies for each study.

Takes a meta4diag object produced by meta4diag() and returns the estimated study specified accuracies, such as sensitivity, specificity, odds ratios and likelihood ratios for each study.
● Data Source: CranContrib
● Keywords:
● Alias: fitted, fitted.meta4diag
● 0 images

print (Package: meta4diag) : print meta4diag object.

Takes an meta4diag object which is obtained by function meta4diag() and print the model and data information such as model type used in the model, number of studies in the dataset and the name of covariates which are contained in the model. The variable type used in plot.meta4diag can be found here.
● Data Source: CranContrib
● Keywords: print
● Alias: print, print.fitted.meta4diag, print.meta4diag, print.summary.meta4diag
● 0 images