mt_compute_gen: Compute genetic measures and their standard errors
In wbonat/mglm4twin: Multivariate Generalized linear Models for Twin Data
mt_compute_gen R Documentation
Compute genetic measures and their standard errors
Description
Compute genetic measures and their standard errors
using the delta method.
Usage
mt_compute_gen(Estimates, vcov, model, n_resp)
Arguments
Estimates
Table of estimates, standard errors and parameter names.
vcov
Matrix of variance and covariance.
model
String.
n_resp
Numeric. Number of response variables.
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_compute_gen | R Documentation |
Compute genetic measures and their standard errors
Description
Compute genetic measures and their standard errors using the delta method.
Usage
mt_compute_gen(Estimates, vcov, model, n_resp)
Arguments
Estimates |
Table of estimates, standard errors and parameter names. |
vcov |
Matrix of variance and covariance. |
model |
String. |
n_resp |
Numeric. Number of response variables. |
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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