search for: x2bk

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2005 Aug 08
1
bug found in predict.locfit in locfit package (PR#8057)
...0.449906,-0.951917,-0.077104, -0.356833,-0.286042, 0.065750, 0.159677,-0.075792) x2=c(-0.3050, 1.0125, 0.2050, 0.1025, 0.9550, 0.6975, 1.5550, 0.0225, 0.2575, 0.3725, 2.0075, 2.1275, 0.7200, 0.2950, 0.2875, -0.2800,-0.6050, 0.2125,-0.5525,-1.7850) ndat=length(y) ybk=y x1bk=x1 x2bk=x2 ######## Joint probability function of y, x1 and x2 # fit joint probability function fityxv=locfit(~y+x1+x2,alpha=1,deg=1) fyxv=predict(fityxv,where="data") ######## Marginal distribution of gxv # fit marginal distribution of y fitxv=locfit(~x1+x2,alpha=0.5,deg=1) gxv=predict(fitxv,wh...
2005 Oct 05
0
bug found in predict.locfit in locfit package ( PR#8057)
...-0.286042, 0.065750, 0.159677,-0.075792) > x2=c(-0.3050, 1.0125, 0.2050, 0.1025, 0.9550, > 0.6975, 1.5550, 0.0225, 0.2575, 0.3725, > 2.0075, 2.1275, 0.7200, 0.2950, 0.2875, > -0.2800,-0.6050, 0.2125,-0.5525,-1.7850) > > ndat=length(y) > ybk=y > x1bk=x1 > x2bk=x2 > ######## Joint probability function of y, x1 and x2 > # fit joint probability function > fityxv=locfit(~y+x1+x2,alpha=1,deg=1) > fyxv=predict(fityxv,where="data") > > ######## Marginal distribution of gxv > # fit marginal distribution of y > fitxv=locfit(~x1+...