Description Objects from the Class Slots Methods Examples

This class encapsulates results of a univariate meta-analysis.

Objects can be created by calls of the form `uvmeta`

.

`call`

:(language) The call to

`uvmeta`

.`data`

:(data frame) The data used for the meta-analysis.

`results`

:(data frame) Contains the pooled effect size (

`mu`

), the between-study variability (`tausq`

), Cochran's Q statistic (`Q`

) and Higgins' and Thompson's I square statistic (`Isq`

). For each estimate, error variances are provided with predefined confidence (`method="MOM"`

) or credibility (`method="bayes"`

) intervals.`model`

:(character) The meta-analysis model used.

`method`

:(character) The estimator used.

`na.action`

:(character) Information from the action which was applied to object if NAs were handled specially, or NULL.

`df`

:(numeric) Degrees of freedom.

`numstudies`

:(numeric) The amount of studies used in the meta-analysis.

`pred.int`

:(data frame) A prediction interval, predicting in what range future effect sizes will fall given what has already been observed (based on a Student's t-distribution, cfr. Riley 2011)

`formula`

:(character) If a formula was specified, a character vector giving the formula and parameter specifications.

`signature(object = "uvmeta")`

: Print object summary.- forest
`signature(object = "uvmeta")`

: Plot a forest plot with the summary estimate.- summary
`signature(object = "uvmeta")`

: Generate object summary.

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