ML.methods {sem} | R Documentation |
objectiveML
and objectiveGLS
Objective Functions
These functions are for objects fit by sem
using the objectiveML
(multivariate-normal full-information maximum-likelihood)
and objectiveGLS
(generalized least squares) objective functions.
## S3 method for class 'objectiveML' anova(object, model.2, robust=FALSE, ...) ## S3 method for class 'objectiveML' logLik(object, ...) ## S3 method for class 'objectiveML' deviance(object, ...) ## S3 method for class 'objectiveML' AIC(object, ..., k) ## S3 method for class 'objectiveML' AICc(object, ...) ## S3 method for class 'objectiveML' BIC(object, ...) ## S3 method for class 'objectiveML' CAIC(object, ...) ## S3 method for class 'objectiveML' print(x, ...) ## S3 method for class 'objectiveGLS' print(x, ...) ## S3 method for class 'objectiveML' summary(object, digits=5, conf.level=.90, robust=FALSE, analytic.se=object$t <= 100, ...) ## S3 method for class 'objectiveGLS' summary(object, ...)
object, model.2, x |
an object inheriting from class |
robust |
if |
k, ... |
ignored. |
digits |
digits to be printed. |
conf.level |
level for confidence interval for the RMSEA index (default is .9). |
analytic.se |
use analytic (as opposed to numeric) coefficient standard errors; default is |
John Fox jfox@mcmaster.ca and Jarrett Byrnes
See sem
.
sem
, objective.functions
, modIndices.objectiveML