文件名称:Matlab-Software

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  • 书籍源码
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  • [Matlab] [源码]
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  • 2015-01-12
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  • 180kb
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Nonparametric Methods for Longitudinal Data Analysis 代码-Nonparametric Methods for Longitudinal Data Analysis Codes
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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

...............\..................

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