search for: prdict

Displaying 4 results from an estimated 4 matches for "prdict".

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2003 Sep 30
2
FW: error predicting values from the LME
...me more insight to my problem. I would reallly appreciate any suggestion. Thanks Andrej -----Original Message----- From: Andrej Kveder [mailto:andrejk@zrc-sazu.si] Sent: Monday, September 29, 2003 7:05 PM To: R-Help Subject: predicting values from the LME Dear listers, I experinced a problem prdicting the values using the LME with multilevel data. I have NA's in my dependent variable and the model is fitted only on the completed cases. I want to estimate the predicted values for the rest of the data (those cases with missing dep. variable) I extracted a subset from the original file conta...
2003 Sep 29
0
predicting values from the LME
Dear listers, I experinced a problem prdicting the values using the LME with multilevel data. I have NA's in my dependent variable and the model is fitted only on the completed cases. I want to estimate the predicted values for the rest of the data (those cases with missing dep. variable) I extracted a subset from the original file conta...
2005 Aug 08
1
bug found in predict.locfit in locfit package (PR#8057)
Full_Name: Somkiat Apipattanavis Version: 2.1.1 OS: Windows Submission from: (NULL) (128.138.44.123) Bug found in predict.locfit for density estimation # Example of bug found in prdict.locfit (Locfit) library('locfit') # generate data y =c(4281,2497,4346,5588,5593,3474,4291,2542,5195,4056, 3114,2864,4904,7625,3377,4001,4999,7191,8062,5668) x1=c( 0.258729, 1.460156, 0.192323, 0.067062,-0.304291, -0.420917, 0.214729, 0.239979,-0.421938,-0.571229, 1.310990,...
2005 Oct 05
0
bug found in predict.locfit in locfit package ( PR#8057)
...s OK with what I have. Andy > From: apipatta at colorado.edu > > Full_Name: Somkiat Apipattanavis > Version: 2.1.1 > OS: Windows > Submission from: (NULL) (128.138.44.123) > > > Bug found in predict.locfit for density estimation > > # Example of bug found in prdict.locfit (Locfit) > library('locfit') > > # generate data > y =c(4281,2497,4346,5588,5593,3474,4291,2542,5195,4056, > 3114,2864,4904,7625,3377,4001,4999,7191,8062,5668) > x1=c( 0.258729, 1.460156, 0.192323, 0.067062,-0.304291, > -0.420917, 0.214729, 0.239979,-0...