mt_delta_method: Delta Method
In wbonat/mglm4twin: Multivariate Generalized linear Models for Twin Data
mt_delta_method R Documentation
Delta Method
Description
Compute standard errors for functions of model parameters
using the delta method.
Usage
mt_delta_method(fx, point, cov, std = TRUE)
Arguments
fx
A function (string like formula) of model parameters.
point
Vector of parameter estimates.
cov
Variance-covariance matrix.
std
Logical. If TRUE returns the standard error, otherwise
return the new variance-covariance.
Details
It is an internal function useful in general for summary
function associated with Twin models.
Author(s)
Wagner Hugo Bonat, wbonat@ufpr.br
wbonat/mglm4twin documentation built on Oct. 14, 2023, 9:37 p.m.
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| mt_delta_method | R Documentation |
Delta Method
Description
Compute standard errors for functions of model parameters using the delta method.
Usage
mt_delta_method(fx, point, cov, std = TRUE)
Arguments
fx |
A function (string like formula) of model parameters. |
point |
Vector of parameter estimates. |
cov |
Variance-covariance matrix. |
std |
Logical. If TRUE returns the standard error, otherwise return the new variance-covariance. |
Details
It is an internal function useful in general for summary function associated with Twin models.
Author(s)
Wagner Hugo Bonat, wbonat@ufpr.br
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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