Displaying 20 results from an estimated 7000 matches similar to: "Backfitting with Missing Explanatory Values"
2004 Aug 06
2
gam --- a new contributed package
I have contributed a "gam" library to CRAN,
which implements "Generalized Additive Models".
This implementation follows closely the description in
the GAM chapter 7 of the "white" book "Statistical Models in S"
(Chambers & Hastie (eds), 1992, Wadsworth), as well as the philosophy
in "Generalized Additive Models" (Hastie & Tibshirani 1990,
2004 Aug 06
2
gam --- a new contributed package
I have contributed a "gam" library to CRAN,
which implements "Generalized Additive Models".
This implementation follows closely the description in
the GAM chapter 7 of the "white" book "Statistical Models in S"
(Chambers & Hastie (eds), 1992, Wadsworth), as well as the philosophy
in "Generalized Additive Models" (Hastie & Tibshirani 1990,
2007 Dec 18
2
"gam()" in "gam" package
R-users
E-mail: r-help@r-project.org
I have a quenstion on "gam()" in "gam" package.
The help of gam() says:
'gam' uses the _backfitting
algorithm_ to combine different smoothing or fitting methods.
On the other hand, lm.wfit(), which is a routine of gam.fit() contains:
z <- .Fortran("dqrls", qr = x * wts, n = n, p = p, y = y *
2009 Dec 02
2
Replying to Posts Within Same Thread
Hi,
When I reply to a post, it generally appears as a separate thread,
rather than branching off the original post.
Anyone know what I'm doing wrong?
Noting I am currently receiving a couple of the lists in digest form.
kind regards
--
Charlotte Maia
http://sites.google.com/site/maiagx/home
2011 Apr 22
1
post-hoc test (glht?) which takes treatment into account not just explanatory variable overall
Hi R helpers!
I have used a glht as a post-hoc test on an lmer with:
-2 treatments (A & B)
-1 categorical explanatory variable (song type)
-1 response variable (latency to respond)
I wanted to make comparisons between the categorical variables depending on treatment.
At the moment the glht simply returns comparisons of each of the (3) categorical explanatory variables with each other
2009 Jun 15
1
Linear Models: Explanatory variables with uncertainties
One of the assumptions, on which the (General) Linear Modelling is
based is that the response variable is measured with some
uncertainties (or weighted), but the explanatory variables are fixed.
Is it possible to extend the model by assigning the weights to the
explanatory variables as well? Is there a package for doing such a
model fit?
Thanks
2009 Nov 26
2
Multivariate problems . . . with 200 resposes variables and 1 explanatory variable
How should I analysis it in R ???? all the resposes variables are ordinal
from 0 to 10. and the explanatory variable is a factor ...
--
View this message in context: http://old.nabble.com/Multivariate-problems-.-.-.-with-200-resposes-variables-and-1-explanatory-variable-tp26522912p26522912.html
Sent from the R help mailing list archive at Nabble.com.
2007 Dec 18
1
R-users
R-users
E-mail: r-help@r-project.org
I have a quenstion on "gam()" in "gam" package.
The help of gam() says:
'gam' uses the _backfitting
algorithm_ to combine different smoothing or fitting methods.
On the other hand, lm.wfit(), which is a routine of gam.fit() contains:
z <- .Fortran("dqrls", qr = x * wts, n = n, p = p, y = y *
2009 Dec 05
1
Task View for Marketing
Hi
I was wondering if a task view for marketing would be a good idea????
I realise that it would have some overlap with other task views.
Social science, cluster and multivariate are the most obvious ones.
There seem to be a lot of packages (quite in your face, if I may say
so) for finance and econometrics (however this is a good thing,
mostly...). However, marketing focused packages seem to be
2010 May 03
1
Plotting the explanatory against the dependent in a GAM
?
To whoever it may correspond,
My name is Oscar Saenz and I am working on my thesis in Spain.
I am using GAMs in "R" and, now that I have estimated my models, I need to plot the predicted smooth functions against the dependent variable (just as in Carlslaw et al. 2007, fig. 1*).
Otherwise, I'd like to know how to plot the smoothed predictor variable values against the partial
2007 Apr 29
0
[988] branches/wxruby2/wxwidgets_282/samples/xrc/xrc_sample.rb: Explanatory note on use of default constructor with XRC
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!--
#msg dl { border: 1px #006 solid; background: #369; padding:
2010 Jan 03
2
Emacs vs Eclipse vs Rcmdr
Hi everyone,
I could have posted this on R-devel or the GUI list, however don't
feel it's that serious.
Hence, decided R-help would be the most appropriate.
I'm not so much interested in which is the best user interface for R.
Rather which is the best ***platform*** for developing ***new*** user
interfaces for R.
Noting I'm using the term user interface is a very general sense.
2008 Jan 16
1
Non linear regression with 2 explanatory variables
Hello!
I want to do a non-linear regression with 2 explanatory variables
(something like : length ~ a * time * exp( b* temperature)), having a
data set (length, time, temperature). Which function could I use (I
tried nls but I think it doesn't work)
Thanks a lot!
Janice
2009 Dec 23
1
prcomp : plotting only explanatory axis arrows
Dear all,
I have a very large dataset (1712351 , 20) and would like
to plot only the arrows that represent the
contribution of each variables.
On the sample below I woild like to plot
only the explanatory variables (Murder, Assault..)
and not the sites.
prcomp(USArrests) # inappropriate
prcomp(USArrests, scale = TRUE)
prcomp(~ Murder + Assault + Rape, data = USArrests, scale = TRUE)
2005 Jul 08
2
Garch in a model with explanatory variables
Dear helpers,
does anyone know a function to fit a model with:
- y mean that is regressed on a set of explanatory variables
- y variace behaving as a garch or as a garch in mean
Thank you so much for your help,
Carlo
2005 Oct 15
2
regression using a lagged dependent variable as explanatory variable
Hi,
I would like to regress y (dependent variable) on x (independent variable) and y(-1).
I have create the y(-1) variable in this way: ly<-lag(y, -1)
Now if I do the following regression lm (y ~ x + ly) the results I obtain are not correct.
Can someone tell me the code to use in R in order to perform a regression using as explanatory variable a lagged dependent variable?
My best regards,
2009 Jun 16
0
ui and ci explanatory documentation
Hi Livia and everyone,
Did you ever get a response on this question from last year (Jan 2008)?
I am also looking for more explanatory documentation on the
ui and ci parameters for the function constrOptim().
The examples provided in the R help and the full reference
manual are not working for me. Goodle and Nabble searches have not resulted
in any explanation
2003 Nov 27
1
lagsarlm - using mixed explanatory variables (spdep package)
Hello
I'm very new to R (which is excellent), so apologies if this has already
been raised. In the spdep package, I'm trying to undertake an
autoregressive mixed model using the lagsarlm function. This is working
fine, but there does not appear to be a method of including an explanatory
variable without it automatically being included as a lagged term. I'm
after something along the
2006 Nov 21
0
[745] trunk/wxruby2/doc/textile/choice.txtl: Correct ruby method signature for constructor, bit more explanatory text
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!--
#msg dl { border: 1px #006 solid; background: #369; padding:
2010 Feb 06
1
The KJV
Hey all,
Does anyone know if there are any R packages with a copy of the KJV?
I'm guessing the answer is no...
So the next question, and the more important one is:
Does anyone think it would be useful (e.g. for text-mining purposes)?
I know almost nothing about theology,
so I'm not sure what kind of questions theologists might have (that R
could answer).
An alternative, that would