generate_response: Simulate the response data given covariates, beta and DGP...
In kcf-jackson/glmSimData: A package for simulating data from a GLM model
Description
Usage
Arguments
Value
Description
Simulate the response data given covariates, beta and DGP specification.
Usage
1
generate_response(X, beta, family, f = identity)
Arguments
X
matrix; data containing the covariates
beta
numeric vector; coefficients of the linear predictors.
family
family object; see "?family" for more details.
f
function; transformation for the covariates.
Value
a dataframe; the simulated data.
kcf-jackson/glmSimData documentation built on May 20, 2019, 8:15 a.m.
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Description Usage Arguments Value
Description
Simulate the response data given covariates, beta and DGP specification.
Usage
1 | generate_response(X, beta, family, f = identity)
|
Arguments
X |
matrix; data containing the covariates |
beta |
numeric vector; coefficients of the linear predictors. |
family |
family object; see "?family" for more details. |
f |
function; transformation for the covariates. |
Value
a dataframe; the simulated data.
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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