Try using the "elasticnet" package instead, where I believe what you want
is part of the package functionality. If I am not mistaken, elasticnet
largely supercedes lars -- but (someone) please correct me if I'm wrong.
-- Bert
On Tue, Mar 19, 2013 at 9:40 AM, Giovanni Giacomin wrote:
> Hi,
>
> I
Hi,
I'm using lars package to run some regression analysis and my doubt now is how
can I predict my model to another dataset?
Let me explain a little better:
I have a dataset from which I withhold some data. With the data that wasn't
withheld, I create the model. Now, what I'm not being able to
If you don't understand the methodology, why are you using it??
Use the glmnet package instead and read the supporting documents. If it's
too technical for you, consult a statistician or do something else.
I do NOT do brain surgery.
-- Bert
On Thu, Jul 12, 2012 at 1:04 PM, SHIR SHIRY wrote:
>
Dear all
I am using lars package to do lasso in R. I dont undesrtand what max.steps
do?and how I can understand from the outputs to obtain the last steps in this
packagethanks for your helpbest
[[alternative HTML version deleted]]
__
R-help@r-
om help that is provided. You can do so easily by replying with
> "reply-all."
>
> Now:
> Look at the help for the lars function:
>
> R> ?lars
>
> You'll see that `x` should be a matrix. I guess it doesn't say as
> much, but `y` should be a (numeric) re
Hi,
First: Please make sure you CC R-help when responding to messages on
the list so that more people can help you, and more people can benefit
from help that is provided. You can do so easily by replying with
"reply-all."
Now:
Look at the help for the lars function:
R> ?lars
Yo
Hi,
On Fri, Apr 8, 2011 at 10:33 AM, gauri j wrote:
> hi,
> I have problem in following code, error is occurred. I have attached my data
> herewith. and my code is as following,
>> library(lars)
> Loaded lars 0.9-8
> Warning message:
> package 'lars' was built under R version 2.12.2
>> x<- read.t
Achin
Without dwelling too much on the semantic problem, the answer
to my understanding of your question is: No, there is no C code in the
lars package, but there is a single Fortran routine in the package.
The Fortran routine does not seem to do anything useful in itself.
By the way, the more r
On Apr 7, 2011, at 3:43 AM, ac...@cse.iitb.ac.in wrote:
Hello,
I am a student of IIT Bombay and I am using lars for one of my
projects. I
wanted to enquire if lars is using C under the hood. Is it true? Can
someone point me to the corresponding C function? Thank You very much.
If you jus
Hello,
I am a student of IIT Bombay and I am using lars for one of my projects. I
wanted to enquire if lars is using C under the hood. Is it true? Can
someone point me to the corresponding C function? Thank You very much.
Regards,
Achin Bansal
__
R-hel
Hi,
Can anyone tell me how we can have the optimal value of "lambda" from lars
package? I want to extract the estimates against this optimal value of
"lambda". I have tried the predict.lars and coef.lars but these provide
entire sequence of coefficients. I don't know how to have the optimal one.
Please could you clarify for me for me when using the lars (lasso) package
what the parameter 'intercept' refers to and what the advantages and
disadvantages of making this TRUE or FALSE are and when it should be
TRUE and when FALSE. Also please could you clarify how 'eps' works and
when it shoul
Hi everybody,
I am trying to implement lasso using the lars package but I don't know how to
extract the optimal solution. There is predict.lars function to extract the
coefficients against some specified "s".
I want to know how I can get the optimal choice of "lambda" i.e. the lagrange's
mul
I am trying to use the lars package in R to carry out lasso analysis.
However, I am having some problems. Please could you help me with the
following questions:
1) Exactly what format do x and y need to be in for cv.lars(x, y) and lars
(x, y)? And what information do x and y need to contain exac
I got my posting bounced and sorry if I accidentally post twice.
I have been looking at 'lars' pkg and got puzzled by the behavior of
function 'lars'. I want to do weighted lasso regression and can't get a
match from lars output with lm output. Here is an example:
y = rnorm(10)
x = matrix(runif(50
I have been looking at 'lars' pkg and got puzzled by the behavior of
function 'lars'. I want to do weighted lasso regression and can't get a
match from lars output with lm output. Here is an example:
y = rnorm(10)
x = matrix(runif(50),nrow=10)
X = data.frame(y,x)
z = runif(10)
X = data.frame(y,x,z
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