R语言 sem包 ML.methods()函数中文帮助文档(中英文对照)

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ML.methods(sem)
ML.methods()所属R语言包：sem

                                         Methods for sem Objects Fit Using the objectiveML, objectiveGLS, msemObjectiveML, and msemObjectiveGLS Objective Functions
                                         SEM对象的方法适合使用的objectiveML，objectiveGLS，msemObjectiveML，msemObjectiveGLS目标函数

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

These functions are for objects fit by sem using the objectiveML (multivariate-normal full-information maximum-likelihood)  objectiveGLS (generalized least squares), and objectiveML (multigroup multivariate-normal FIML) objective functions.
这些功能适合semobjectiveML（多变量正常的完全信息最大似然）objectiveGLS（广义最小二乘），和objectiveML（多组多元的对象正常FIML）目标函数。


用法----------Usage----------


## 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 'msemObjectiveML'
deviance(object, ...)
## S3 method for class 'objectiveML'
AIC(object, ..., k)
## S3 method for class 'msemObjectiveML'
AIC(object, ..., k)
## S3 method for class 'objectiveML'
AICc(object, ...)
## S3 method for class 'msemObjectiveML'
AICc(object, ...)
## S3 method for class 'objectiveML'
BIC(object, ...)
## S3 method for class 'msemObjectiveML'
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 'msemObjectiveML'
print(x, ...)
## S3 method for class 'msemObjectiveGLS'
print(x, ...)
## S3 method for class 'objectiveML'
summary(object, digits=5, conf.level=.90, robust=FALSE, analytic.se=object$t <= 500, ...)
## S3 method for class 'objectiveGLS'
summary(object, digits=5, conf.level=.90, robust=FALSE, ...)
## S3 method for class 'msemObjectiveML'
summary(object, digits=5, conf.level=.90, robust=FALSE, analytic.se=object$t <= 500, ...)
## S3 method for class 'msemObjectiveGLS'
summary(object, digits=5, conf.level=.90, robust=FALSE, ...)



参数----------Arguments----------

参数：object, model.2, x
an object inheriting from class objectiveML, objectiveGLS, or msemObjectiveML.
继承类的对象objectiveML，objectiveGLS或msemObjectiveML。


参数：robust
if TRUE, compute robust standard errors or test.
如果TRUE，计算稳健标准误差或测试。


参数：k, ...
ignored.
忽略不计。


参数：digits
digits to be printed.
要打印的数字。


参数：conf.level
level for confidence interval for the RMSEA index (default is .9).
RMSEA指数（默认值是0.9）的置信区间水平。


参数：analytic.se
use analytic (as opposed to numeric) coefficient standard errors; default is TRUE is there are no more than 100 parameters in the model and FALSE otherwise.
使用解析（而不是数字）的系数标准误差，默认为TRUE是有不超过100个参数的模型和FALSE否则。


（作者）----------Author(s)----------


John Fox <a href="mailto:jfox@mcmaster.ca">jfox@mcmaster.ca</a> and Jarrett Byrnes



参考文献----------References----------



参见----------See Also----------

sem, objective.functions, modIndices.objectiveML
sem，objective.functions，modIndices.objectiveML

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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