lmBoot: Compute bootstrapped linear regression
In spruenke/nboot: Bootstrap Statistics
Description
Usage
Arguments
Value
Description
Compute bootstrapped linear regression
Usage
1
lmBoot(y, X, nboot = 100, intercept = T, boot.type = "np")
Arguments
y
Numeric Vector of dependent variables
X
Numeric Matrix or data.frame of dim n x k, where n is the number of observations and k the number of independent variables
nboot
Number of bootstrap iterations (default is 100)
intercept
Logical, specifying whether an intercept should be used (default is TRUE)
boot.type
Character string specifying which bootstrap type should be used. Must be either "np" (Non-parametric, default) or "wild" (Wild Rademacher bootstrap)
Value
Vector of sample skewness for all rows
spruenke/nboot documentation built on April 2, 2021, 3:10 p.m.
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Description Usage Arguments Value
Description
Compute bootstrapped linear regression
Usage
1 | lmBoot(y, X, nboot = 100, intercept = T, boot.type = "np")
|
Arguments
y |
Numeric Vector of dependent variables |
X |
Numeric Matrix or data.frame of dim n x k, where n is the number of observations and k the number of independent variables |
nboot |
Number of bootstrap iterations (default is 100) |
intercept |
Logical, specifying whether an intercept should be used (default is TRUE) |
boot.type |
Character string specifying which bootstrap type should be used. Must be either "np" (Non-parametric, default) or "wild" (Wild Rademacher bootstrap) |
Value
Vector of sample skewness for all rows
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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