lavaan (version 0.5-21)

parameterEstimates: Parameter Estimates

Description

Parameter estimates of a latent variable model.

Usage

parameterEstimates(object, se = TRUE, zstat = TRUE, pvalue = TRUE, ci = TRUE,  level = 0.95, boot.ci.type = "perc", standardized = FALSE,  fmi = FALSE, remove.system.eq = TRUE, remove.eq = TRUE,  remove.ineq = TRUE, remove.def = FALSE, rsquare = FALSE,  add.attributes = FALSE)

Arguments

object

An object of class lavaan.

se

Logical. If TRUE, include column containing the standard errors. If FALSE, this implies zstat and pvalue and ci are also FALSE.

zstat

Logical. If TRUE, an extra column is added containing the so-called z-statistic, which is simply the value of the estimate divided by its standard error.

pvalue

Logical. If TRUE, an extra column is added containing the pvalues corresponding to the z-statistic, evaluated under a standard normal distribution.

ci

If TRUE, confidence intervals are added to the output

level

The confidence level required.

boot.ci.type

If bootstrapping was used, the type of interval required. The value should be one of "norm", "basic", "perc", or "bca.simple". For the first three options, see the help page of the boot.ci function in the boot package. The "bca.simple" option produces intervals using the adjusted bootstrap percentile (BCa) method, but with no correction for acceleration (only for bias).

standardized

Logical. If TRUE, standardized estimates are added to the output

fmi

Logical. If TRUE, an extra column is added containing the fraction of missing information for each estimated parameter. Only available if estimator="ML", missing="(fi)ml", and se="standard". See references for more information.

remove.eq

Logical. If TRUE, filter the output by removing all rows containing user-specified equality constraints, if any.

remove.system.eq

Logical. If TRUE, filter the output by removing all rows containing system-generated equality constraints, if any.

remove.ineq

Logical. If TRUE, filter the output by removing all rows containing inequality constraints, if any.

remove.def

Logical. If TRUE, filter the ouitput by removing all rows containing parameter definitions, if any.

rsquare

Logical. If TRUE, add additional rows containing the rsquare values (in the est column) of all endogenous variables in the model. Both the lhs and rhs column contain the name of the endogenous variable, while the codeop column contains r2, to indicate that the values in the est column are rsquare values.

add.attributes

Logical. If TRUE, add a class attribute (class lavaan.parameterEstimates) and other attributes to be used by the print function for this class (print.lavaan.parameterEstimates). This is used by the summary() function, to prettify the output.

Value

A data.frame containing the estimated parameters, parameters, standard errors, and (by default) z-values , p-values, and the lower and upper values of the confidence intervals. If requested, extra columns are added with standardized versions of the parameter estimates.

References

Savalei, V. & Rhemtulla, M. (2012). On obtaining estimates of the fraction of missing information from FIML. Structural Equation Modeling: A Multidisciplinary Journal, 19(3), 477-494.

Examples

HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

fit <- cfa(HS.model, data=HolzingerSwineford1939)
parameterEstimates(fit)