deltaMethod {CDM} R Documentation

## Variance Matrix of a Nonlinear Estimator Using the Delta Method

### Description

Computes the variance of a nonlinear parameter using the delta method.

### Usage

deltaMethod(derived.pars, est, Sigma, h=1e-05)


### Arguments

 derived.pars Vector of derived parameters written in R formula framework (see Examples). est Vector of parameter estimates Sigma Covariance matrix of parameters h Numerical differentiation parameter

### Value

 coef Vector of nonlinear parameters vcov Covariance matrix of nonlinear parameters se Vector of standard errors A First derivative of nonlinear transformation univarTest Data frame containing univariate summary of nonlinear parameters WaldTest Multivariate parameter test for nonlinear parameter

See car::deltaMethod or msm::deltamethod.

### Examples

#############################################################################
# EXAMPLE 1: Nonlinear parameter
#############################################################################

#-- parameter estimate
est <- c( 510.67, 102.57)
names(est) <- c("mu", "sigma")
#-- covariance matrix
Sigma <- matrix( c(5.83, 0.45, 0.45, 3.21 ), nrow=2, ncol=2 )
colnames(Sigma) <- rownames(Sigma) <- names(est)
#-- define derived nonlinear parameters
derived.pars <- list( "d"=~ I( ( mu - 508 ) / sigma ),
"dsig"=~ I( sigma / 100 - 1) )

#*** apply delta method
res <- CDM::deltaMethod( derived.pars, est, Sigma )
res


[Package CDM version 8.2-6 Index]