PIF {diagL1} | R Documentation |
Predictive Influence Function
PIF(y, x, w, num_cores = 2)
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). |
Please, install and load the "foreach" package to use this function. For more details see Rodrigues (2024).
A vector with predictive influence function value for each observation.
Rodrigues, K. A. S. (2024). Analysis of the adjustment of the L1 regression model. Phd dissertation, University of São Paulo, BR.