Usage
## S3 method for class 'tssem1FEM':
summary(object, \dots)
## S3 method for class 'tssem1FEM.cluster':
summary(object, \dots)
## S3 method for class 'tssem1REM':
summary(object, \dots)
## S3 method for class 'wls':
summary(object, df.adjustment=0, R=50, \dots)
## S3 method for class 'wls.cluster':
summary(object, df.adjustment=0, R=50, \dots)
## S3 method for class 'meta':
summary(object, homoStat=TRUE, \dots)
## S3 method for class 'meta3X':
summary(object, allX=FALSE, \dots)
## S3 method for class 'reml':
summary(object, \dots)
## S3 method for class 'tssem1FEM':
print.summary(x, \dots)
## S3 method for class 'wls':
print.summary(x, \dots)
## S3 method for class 'meta':
print.summary(x, \dots)
## S3 method for class 'meta3X':
print.summary(x, \dots)
## S3 method for class 'reml':
print.summary(x, \dots)
Arguments
object
An object returned from either class
tssem1FEM, class tssem1FEM.cluster,
class tssem1REM, class wls, class wls.cluster,
class meta, class meta3X or class r
x
An object returned from either class summary.tssem1FEM,
class tssem1FEM.cluster, class summary.wls, class
summary.meta, class summary.meta3X or class summary.reml.
homoStat
Logical. Whether to conduct a homogeneity test on the
effect sizes.
allX
Logical. Whether to report the predictors and the
auxiliary variables.
df.adjustment
Numeric. Adjust the degrees of freedom
manually. It may be necessary if the df calculated is incorrect when
diag.constraints=TRUE.
R
Positive integer. The number of parameter bootstrap
replicates when diag.constraints=TRUE.