lavaSearch2 (version 1.0.0)

dVcov2: Compute the Derivative of the Information Matrix

Description

Compute the derivative of the information matrix.

Usage

dVcov2(object, ...)
# S3 method for lm
dVcov2(object, adjust.residuals = FALSE, return.score = FALSE,
  ...)
# S3 method for gls
dVcov2(object, cluster, vcov.param = NULL,
  adjust.residuals = FALSE, numericDerivative = FALSE,
  return.score = FALSE, ...)
# S3 method for lme
dVcov2(object, cluster, vcov.param = NULL,
  adjust.residuals = FALSE, numericDerivative = FALSE,
  return.score = FALSE, ...)
# S3 method for lvmfit
dVcov2(object, vcov.param = NULL, adjust.residuals = TRUE,
  numericDerivative = FALSE, return.score = FALSE, ...)
# S3 method for lvmfit2
dVcov2(object, ...)
dVcov2(x, ...) <- value
# S3 method for lm
dVcov2(x, ...) <- value
# S3 method for gls
dVcov2(x, ...) <- value
# S3 method for lme
dVcov2(x, ...) <- value
# S3 method for lvmfit
dVcov2(x, ...) <- value
# S3 method for lvmfit2
dVcov2(x, ...) <- value

Arguments

object

a gls, lme, or lvm object.

...

arguments to be passed to lower level methods.

adjust.residuals

Small sample correction: should the leverage-adjusted residuals be used to compute the score? Otherwise the raw residuals will be used.

return.score

[for internal use] export the score.

cluster

the grouping variable relative to which the observations are iid. Only required for gls models with no correlation argument.

vcov.param

the variance-covariance matrix of the estimates.

numericDerivative

If TRUE, the degree of freedom are computed using a numerical derivative.

x

same as object.

value

same as adjust.residuals.