The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when estimating the regression function. Analogously, one can estimate derivatives of small order of the regression function.

K_smooth
........\BAND.DAT
........\ex1.dat
........\ex1.out
........\EXAMPLE1.F90
........\EXAMPLE1.MAK
........\EXAMPLE1.MDP
........\EXAMPLE1.obj
........\EXAMPLE1.pdb
........\EXAMPLE2.F90
........\EXAMPLE3.F90
........\kernel_regression.mod
........\KERNF77.TXT
........\KERN_REG.F90
........\KERN_REG.obj
........\PLUGIN.exe
........\PLUGIN.F90
........\PLUGIN.MAK
........\PLUGIN.MDP
........\PLUGIN.obj
........\PLUGIN.pdb
........\RAW.DAT
........\README

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