se_outer: Standard errors of parameters and proportions
In hollicam/DiscreteChoiceModels: Various models for marketing and social research
Description
Usage
Arguments
Value
Description
Calculates outer-product of standard errors for a discrete heterogeneity
model's estimate of linear parameters and class proportions. It is worth
noting that, when the covariates of a given model have high linear
correlation, the function will be unable to calculate this outer-product.
Usage
1
se_outer(out)
Arguments
out
A list object obtained directly from output of
LatentStage
Value
A list object with two attributes:
se.beta -
Outer-product SE of linear parameters.
se.lambda -
Outer-product SE of class proportions. Note that the
LatentStage function does not provide this parameter.
hollicam/DiscreteChoiceModels documentation built on May 3, 2019, 8:59 p.m.
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Description Usage Arguments Value
Description
Calculates outer-product of standard errors for a discrete heterogeneity model's estimate of linear parameters and class proportions. It is worth noting that, when the covariates of a given model have high linear correlation, the function will be unable to calculate this outer-product.
Usage
1 | se_outer(out)
|
Arguments
out |
A list object obtained directly from output of
|
Value
A list object with two attributes:
se.beta- Outer-product SE of linear parameters.se.lambda- Outer-product SE of class proportions. Note that theLatentStagefunction does not provide this parameter.
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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