bootstrap_parametric_linear: Perform parametric bootstrap for linear models without...
In reyesem/IntroAnalysis: Functions for introductory statistics using linear models
bootstrap_parametric_linear R Documentation
Perform parametric bootstrap for linear models without constant variance.
Description
This is a workhorse function which performs a parametric bootstrap without
assuming constant variance. This is not meant to be called by the user
directly.
Usage
bootstrap_parametric_linear(fit, reps)
Arguments
fit
lm object defining the model for which the parameters are
estimated.
reps
scalar; number of bootstrap replications to perform.
Value
matrix with the same number of rows as coefficients in fit and
reps columns. Each row contains the bootstrap estimates of the
corresponding parameters.
reyesem/IntroAnalysis documentation built on March 29, 2025, 3:29 p.m.
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| bootstrap_parametric_linear | R Documentation |
Perform parametric bootstrap for linear models without constant variance.
Description
This is a workhorse function which performs a parametric bootstrap without assuming constant variance. This is not meant to be called by the user directly.
Usage
bootstrap_parametric_linear(fit, reps)
Arguments
fit |
|
reps |
scalar; number of bootstrap replications to perform. |
Value
matrix with the same number of rows as coefficients in fit and
reps columns. Each row contains the bootstrap estimates of the
corresponding parameters.
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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