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...