likelihoodD: Calculate Likelihood Displacement
In LadR: Routines for Fit, Inference and Diagnostics in LAD Models
Description
Usage
Arguments
Value
References
Examples
Description
Calculate Likelihood Displacement
Usage
1
likelihoodD(y, X)
Arguments
y
A vector with response variables.
X
A matrix or vector with explanatory variables.
Value
Likelihood Displacement
A vector with Likelihood Displacement for each observation.
.
References
Elian, S. N., André, C. D. S. and Narula, S. C. (2000) Influence Measure for the
L1 regression.
Communications in Statistics - Theory and Methods, 29(4), 837-849. doi: 10.1080/03610920008832518.
Examples
1
2
3
### Using stackloss data
likelihoodD(stack.loss, stack.x)
Example output
[1] 4.90952566 0.10224793 5.22185971 7.34026134 1.20637146 1.75190116
[7] 1.02736362 0.07701923 1.46451950 0.06847368 0.58446214 0.12714312
[13] 2.80439615 1.84126465 1.19561545 0.06813896 1.79565625 0.14261265
[19] 0.61106078 1.65205580 9.12484771
LadR documentation built on May 1, 2019, 7:12 p.m.
R Package Documentation
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Description Usage Arguments Value References Examples
Description
Calculate Likelihood Displacement
Usage
1 | likelihoodD(y, X)
|
Arguments
y |
A vector with response variables. |
X |
A matrix or vector with explanatory variables. |
Value
Likelihood Displacement |
A vector with Likelihood Displacement for each observation. |
.
References
Elian, S. N., André, C. D. S. and Narula, S. C. (2000) Influence Measure for the L1 regression. Communications in Statistics - Theory and Methods, 29(4), 837-849. doi: 10.1080/03610920008832518.
Examples
1 2 3 | ### Using stackloss data
likelihoodD(stack.loss, stack.x)
|
Example output
[1] 4.90952566 0.10224793 5.22185971 7.34026134 1.20637146 1.75190116
[7] 1.02736362 0.07701923 1.46451950 0.06847368 0.58446214 0.12714312
[13] 2.80439615 1.84126465 1.19561545 0.06813896 1.79565625 0.14261265
[19] 0.61106078 1.65205580 9.12484771
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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