PIF {diagL1} | R Documentation |
Predictive Influence Function
Description
Predictive Influence Function
Usage
PIF(y, x, w, num_cores = 2)
Arguments
y |
A vector with response variables. |
x |
A matrix with a single explanatory variable. |
w |
Explanatory variables vector for z, usually explanatory variables averages. |
num_cores |
Number of cores you want to use for parallel processing (default = 2). |
Details
Please, install and load the "foreach" package to use this function. For more details see Rodrigues (2024).
Value
A vector with predictive influence function value for each observation.
References
Rodrigues, K. A. S. (2024). Analysis of the adjustment of the L1 regression model. Phd dissertation, University of São Paulo, BR.
[Package diagL1 version 1.0.0 Index]