summary: Summary Method for tssem1, wls, meta, and meta3X Objects

Description Usage Arguments Note Author(s) See Also

Description

It summaries results for various class.

Usage

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## S3 method for class 'tssem1FEM'
summary(object, ...)
## S3 method for class 'tssem1FEM.cluster'
summary(object, ...)
## S3 method for class 'tssem1REM'
summary(object, robust=FALSE, ...)
## S3 method for class 'wls'
summary(object, df.adjustment=0, ...)
## S3 method for class 'wls.cluster'
summary(object, df.adjustment=0, ...)
## S3 method for class 'meta'
summary(object, homoStat=TRUE, robust=FALSE, ...)
## S3 method for class 'meta3X'
summary(object, allX=FALSE, robust=FALSE, ...)
## S3 method for class 'reml'
summary(object, ...)
## S3 method for class 'CorPop'
summary(object, ...)
## S3 method for class 'bootuniR2'
summary(object, probs=c(0, 0.1, 0.5, 0.9, 1),
        cutoff.chisq.pvalue=0.05, cutoff.CFI=0.9, cutoff.SRMR=0.1,
        cutoff.RMSEA=0.05, ...)
## S3 method for class 'osmasem'
summary(object, fitIndices=FALSE, numObs, robust=FALSE, ...)
## S3 method for class 'tssem1FEM'
print.summary(x, ...)
## S3 method for class 'wls'
print.summary(x, ...)
## S3 method for class 'meta'
print.summary(x, ...)
## S3 method for class 'meta3X'
print.summary(x, ...)
## S3 method for class 'reml'
print.summary(x, ...)
## S3 method for class 'CorPop'
print.summary(x, ...)
## S3 method for class 'bootuniR2'
print.summary(x, ...)

Arguments

object

An object returned from either class tssem1FEM, class tssem1FEM.cluster, class tssem1REM, class wls, class wls.cluster, class meta, class meta3X, class reml or class CorPop.

x

An object returned from either class summary.tssem1FEM, class tssem1FEM.cluster, class summary.wls, class summary.meta, class summary.meta3X, class summary.reml or class summary.CorPop.

homoStat

Logical. Whether to conduct a homogeneity test on the effect sizes.

allX

Logical. Whether to report the predictors and the auxiliary variables.

robust

Logicial. Whether to use robust standard error from imxRobustSE.

df.adjustment

Numeric. Adjust the degrees of freedom manually. It may be necessary if the df calculated is incorrect when diag.constraints=TRUE.

probs

Quantiles for the parameter estimates.

cutoff.chisq.pvalue

Cutoff of the p-value for the chi-square statistic.

cutoff.CFI

The cutoff of the CFI.

cutoff.SRMR

The cutoff of the SRMR.

cutoff.RMSEA

The cutoff of the RMSEA.

fitIndices

Whether to calculate the chi-square statistic and various goodness-of-fit indices in osmasem. Note. It may take a while since statistics of the saturated and independence models are required.

numObs

The number of observations in calculating the fit statistics in osmasem. If it is missing, the total number of observations is used.

...

Further arguments to be passed to printCoefmat

Note

If the OpenMx status1 is either 0 or 1, the estimation is considered fine. If the OpenMx status1 is other values, it indicates estimation problems. Users should refer to https://openmx.ssri.psu.edu//wiki/errors for more details.

Author(s)

Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

See Also

tssem1, wls, meta, reml, rCor, bootuniR2, osmasem


metaSEM documentation built on May 18, 2021, 1:06 a.m.