MCResultJackknife.getRJIF: Relative Jackknife Influence Function
In mcr: Method Comparison Regression
View source: R/MCResultJackknifeMethods.r
MCResultJackknife.getRJIF R Documentation
Relative Jackknife Influence Function
Description
Calculate the value of relative jackknife function for each observation.
Usage
MCResultJackknife.getRJIF(.Object)
Arguments
.Object
object of class "MCResultJackknife" or "MCResultResampling".
Value
a list of the following elements:
slope
numeric vector containing the values of relative jackknife function of slope.
intercept
numeric vector containing the values of relative jackknife function of intercept.
References
Efron, B. (1990)
Jackknife-After-Bootstrap Standard Errors and Influence Functions.
Technical Report , N 134.
mcr documentation built on Sept. 23, 2024, 5:10 p.m.
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View source: R/MCResultJackknifeMethods.r
| MCResultJackknife.getRJIF | R Documentation |
Relative Jackknife Influence Function
Description
Calculate the value of relative jackknife function for each observation.
Usage
MCResultJackknife.getRJIF(.Object)
Arguments
.Object |
object of class "MCResultJackknife" or "MCResultResampling". |
Value
a list of the following elements:
slope |
numeric vector containing the values of relative jackknife function of slope. |
intercept |
numeric vector containing the values of relative jackknife function of intercept. |
References
Efron, B. (1990) Jackknife-After-Bootstrap Standard Errors and Influence Functions. Technical Report , N 134.
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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