R: Fit a z-curve to clustered data

zcurve_clustered {zcurve}

R Documentation

Fit a z-curve to clustered data

Description

zcurve_clustered is used to fit z-curve models to clustered data. The function requires a data object created with the zcurve_data() function as the input (where id denotes clusters). Two different methods that account for clustering ar implemented via the EM model: "w" for down weighting the likelihood of the test statistics proportionately to the number of repetitions in the clusters, and "b" for a nested bootstrap where only a single study from each bootstrap is selected for model fitting.

Usage

zcurve_clustered(
  data,
  method = "b",
  bootstrap = 1000,
  parallel = FALSE,
  control = NULL
)

Arguments

`data`	an object created with `zcurve_data()` function.
`method`	the method to be used for fitting. Possible options are down weighting `"w"` and nested bootstrap `"b"`. Defaults to `"w"`.
`bootstrap`	the number of bootstraps for estimating CI. To skip bootstrap specify `FALSE`.
`parallel`	whether the bootstrap should be performed in parallel. Defaults to `FALSE`. The implementation is not completely stable and might cause a connection error.
`control`	additional options for the fitting algorithm more details in control EM.

Value

The fitted z-curve object

References