rob.ci: Function to compute bootstrap confidence intervals for robust...
In David-Hervas/repmod: Create Report Table from Different Objects
rob.ci R Documentation
Function to compute bootstrap confidence intervals for robust linear regression models
Description
Estimates confidence intervals for rlm models.
Usage
rob.ci(x, level = 0.95, maxit = 200, R = 2000)
Arguments
x
A rlm object
level
Confidence level for the interval
maxit
Maximum number of iterations per fit
R
Number of boostrap samples
Value
A matrix with bootstrap confidence intervals for each variable in the model
David-Hervas/repmod documentation built on Feb. 3, 2025, 11:38 a.m.
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| rob.ci | R Documentation |
Function to compute bootstrap confidence intervals for robust linear regression models
Description
Estimates confidence intervals for rlm models.
Usage
rob.ci(x, level = 0.95, maxit = 200, R = 2000)
Arguments
x |
A rlm object |
level |
Confidence level for the interval |
maxit |
Maximum number of iterations per fit |
R |
Number of boostrap samples |
Value
A matrix with bootstrap confidence intervals for each variable in the model
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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