Matlab Software\1. Introduction\ACraw.m
...............\...............\BRraw.m
...............\...............\CD4raw.m
...............\2. Parametric Mixed-Effects Models\lmefit.m
...............\..................................\lmefit0.m
...............\..................................\lmefit1.m
...............\..................................\lmefit2.m
...............\..................................\lmefit3.m
...............\..................................\lmefita.m
...............\..................................\lmefitb.m
...............\..................................\lmefitd.m
...............\3. Nonparametric Regression Smoothers\ch3llfits.m
...............\.....................................\fig3101.m
...............\.....................................\fig3201.m
...............\.....................................\fig3202.m
...............\.....................................\fig3301.m
...............\.....................................\fig3401.m
...............\.....................................\fig3501.m
...............\.....................................\rgbas.m
...............\4. Local Polynomial Methods\ACmelp.m
...............\...........................\ACmelpfit.m
...............\...........................\BR2step.m
...............\...........................\BR4step.m
...............\...........................\BRmelp.m
...............\...........................\BRmelpfit.m
...............\...........................\BRnlp.m
...............\...........................\bwselect\bwos.m
...............\...........................\........\bwrfph.m
...............\...........................\........\bwrot.m
...............\...........................\........\bwrswb.m
...............\...........................\........\bwsjpib.m
...............\...........................\........\bwsnr.m
...............\...........................\........\cprob.m
...............\...........................\........\cquant.m
...............\...........................\........\gpfam.m
...............\...........................\........\gpkde.m
...............\...........................\........\gplbinr.m
...............\...........................\........\gpminr.m
...............\...........................\........\gpnpr.m
...............\...........................\........\gprootf (1).m
...............\...........................\........\gprootf.m
...............\...........................\........\iqr.m
...............\...........................\glpfit.m
...............\...........................\kerlme.m
...............\...........................\kerlme1.m
...............\...........................\lmefit_000.m
...............\...........................\lpklme.m
...............\...........................\lpklme0.m
...............\...........................\lpklme1.m
...............\...........................\lpklme2.m
...............\...........................\lplme.m
...............\...........................\lplme0.m
...............\...........................\lplmeRE.m
...............\5. Regression Spline Methods\ACmers.m
...............\............................\ACnrsfit.m
...............\............................\BRmers.m
...............\............................\BRnrsfit.m
...............\............................\fdadat.m
...............\............................\lmefit_001.m
...............\............................\nrsfit.m
...............\............................\nrsfits.m
...............\............................\rgsplQ.m
...............\............................\RSbwc.m
...............\............................\rsplbas.m
...............\............................\rsplme.m
...............\............................\rsplme0.m
...............\............................\rsplQ.m
...............\6. Smoothing Splines Methos\ACmess.m
...............\...........................\BRmess.m
...............\...........................\BRnss.m
...............\...........................\fdadat_000.m
...............\..................