R: Compute Leave-One-Out Diagnostics for "meta.nsue" Objects
leave1out.nsue
R Documentation
Compute Leave-One-Out Diagnostics for “meta.nsue” Objects
Description
Repeatedly fits the specified model, leaving out one study at a time.
Usage
## S3 method for class 'nsue'
leave1out(x, data = data.frame(), formula = ~1, hypotheses = NULL,
n.imp = 50, n.bins = 200, maxiter = 200, tol = 1e-06, ...)
Arguments
x
an object of class "nsue".
data
an optional data frame containing variables to be used as regressors in the maximum likelihood step.
formula
an object of class "formula": a symbolic description of the model to be fitted.
hypotheses
a list of hypotheses, or NULL to simply test the coefficients of the model.
n.imp
number of imputations of NSUEs per study.
n.bins
number of bins used in the imputations.
maxiter
maximum number of iterations in the REML estimation of τ^2.
tol
tolerance in the REML estimation of τ^2.
...
other arguments (currently ignored).
Details
Use smc_from_t, smd_from_t, z_from_r or r_in_smd_from_t_means_and_sds1 to create "nsue" objects.
Models for meta.nsue, leave1out.nsue and metalm.meta.nsue are specified symbolically. The formula is a series of terms which specify a linear predictor for x. A formula specification of the form first + second indicates a multiple regression by first and second. A specification of the form first:second indicates the interaction of first with second. The specification first*second is the same as first + second + first:second.
Each hypothesis must be a matrix (or vector) giving linear combinations of coefficients by rows.
Value
leave1out.nsue returns an object of class "leave1out.nsue", which is a list containing a list for each iteration with the component study (the study discarded) and the component meta.nsue, which is an object of class "meta.nsue".
The functions print and summary may be used to print the details or a summary of the results.
Author(s)
Joaquim Radua
References
Radua, J., Schmidt, A., Borgwardt, S., Heinz, A., Schlagenhauf, F., McGuire, P., Fusar-Poli, P. (2015)
Ventral striatal activation during reward processing in psychosis. A neurofunctional meta-analysis.
JAMA Psychiatry, 72, 1243–51.
See Also
smc_from_t, smd_from_t, z_from_r and r_in_smd_from_t_means_and_sds1 for creating "nsue" objects.