similar to: Regularized Regressions

Hi all, Before I setup an account with them, I'd like to hear other people's impression of LiveVoip. I'm considering using them for 800 numbers, and I'd like to feel comfortable that others here on the list have had good experiences with them. Thanks, sorry if this is the wrong list for this. :) Sena

Dear all, I am trying to do a n-fold cross-validation for a regularized discrimant function analysis using rda from the package klaR. However, I have problems to predict the groups from the test/validation sample. The exmaples of the R documantation and some online webpage also do not work. Does anybody know what I have done wrong? Here my code # I want to use the first 6 observations for

Dear all, I would be very grateful if you could help me with: Given the regularized gamma function Reg=int_0^r (x^(k-1)e^(-x))dx/int_0^Inf (x^(k-1)e^(-x))dx ; 0<r<Inf (which is eventually the ratio of the Incomplete gamma function by the gamma function), does anyone know of a package in R that would evaluate the derivative of the inverse of Reg with respect to k? I am aware that the

Hi, I just deploy the ZFS on an SAN attach disk array and it''s working fine. How do i get dual pathing advantage of the disk ( like DMP in Veritas). Can someone point to correct doc and setup. Thanks in Advance. Rgds Vikash Gupta This message posted from opensolaris.org

Dear R-users, we are happy to announce the release of our R package parcor. The package contains tools to estimate the matrix of partial correlations based on different regularized regression methods: Lasso, adaptive Lasso, PLS, and Ridge Regression. In addition, parcor provides cross-validation based model selection for Lasso, adaptive Lasso and Ridge Regression. More details can be found

Dear R-users, we are happy to announce the release of our R package parcor. The package contains tools to estimate the matrix of partial correlations based on different regularized regression methods: Lasso, adaptive Lasso, PLS, and Ridge Regression. In addition, parcor provides cross-validation based model selection for Lasso, adaptive Lasso and Ridge Regression. More details can be found

Sorry, I forgot to mention that I used the package "klaR". > > Dear all, I am trying to do a n-fold cross-validation for a > regularized discrimant function analysis using rda from the package > klaR. However, I have problems to predict the groups from the > test/validation sample. The exmaples of the R documantation and > some online webpage also do not work.

On 10.0-BETA1 amd64, build of shells/zsh fails as following: ===> License ZSH accepted by the user ===> Found saved configuration for zsh-5.0.2_1 ===> zsh-5.0.2_1 depends on file: /usr/local/sbin/pkg - found ===> Fetching all distfiles required by zsh-5.0.2_1 for building ===> Extracting for zsh-5.0.2_1 => SHA256 Checksum OK for zsh-5.0.2.tar.bz2. => SHA256 Checksum OK

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 The packages are online :-) Am 21.04.15 um 16:53 schrieb L.P.H. van Belle: > thats still the case with the packages but.. 4.2.1 wil build on > jessie fine. ( from source ) Did that today. > > > Gr, > > Louis > > >> -----Oorspronkelijk bericht----- Van: rowlandpenny at googlemail.com >>

> On 21/04/15 09:17, Peter Grotz - Obel und Partner GbR wrote: > > Hallo, > > > > > > > > samba 4.2 is released for some time now. Sernet usually doesn?t take a lot > > of time to release their new packages. > > > > But now we haven?t heard a peep from them. Are they gone or will there be > > another fine release? > > > >

SPAM: -------------------- Start SpamAssassin results ---------------------- SPAM: This mail is probably spam. The original message has been altered SPAM: so you can recognise or block similar unwanted mail in future. SPAM: See http://spamassassin.org/tag/ for more details. SPAM: SPAM: Content analysis details: (5.9 hits, 5 required) SPAM: Hit! (0.6 points) From: does not include a real name

I want to run deconvolution of a time series by an impulse or point-spread function through Wiener filter, regularized filter, Lucy-Richardson method, or any other approaches. I searched the CRAN website and the mailing list archive, but could not find any package for such a deconvolution analysis. Does anybody know an existing R function for deconvolution? TIA, Gang

Hello, Thank you for probably not so new question, but i am new to R. Does any of packages have something like glm+regularization? So far i see probably something close to that as a ridge regression in MASS but I think i need something like GLM, in particular binomial regularized versions of polynomial regression. Also I am not sure how some of the K-fold crossvalidation helpers out there

list(...), I am working with environmental time series (eg rainfall, stream flow) that have attached quality codes for each data point. The quality codes have just a few factor levels, like "good", "suspect", "poor", "imputed". I use the quality codes in plots and summaries. They are carried through when a time series is aggregated to a longer time-step,

Dear all, I am using glmnet (Coxnet) for building a Cox Model and to make actual prediction, i.e. to estimate the survival function S(t,Xn) for a new subject Xn. If I am not mistaken, glmnet (coxnet) returns beta, beta*X and exp(beta*X), which on its own cannot generate S(t,Xn). We miss baseline survival function So(t). Below is my code which takes beta coefficients from glmnet and creates coxph

Hi, I couldn't find a package to fit a penalized (lasso/ridge) Gamma regression model. Does anybody know any? Thanks in advance, Lars. [[alternative HTML version deleted]]

2017-11-30 3:14 GMT+01:00 Suzen, Mehmet <mehmet.suzen at gmail.com>: > My understanding is that there is no inconsistency. `is` does what it > claims, from the documentation: > > ?is?: With two arguments, tests whether ?object? can be treated as > from ?class2?. > > With one argument, returns all the super-classes of this > object's

Performing CCA in R I know they say don't say please... or plead...but I'm sorry but I really need some help with this problem. I have tried to perform CCA in R and I can never do this successfully. Can someone please tell me what I'm doing wrong. I can't attach any file...so Please email me and I'll attach the necessary files. (there's only two) the files will be my CCA R

Hi list! I configured Asterisk to forward the incoming call for a number to both phones. I wrote that: exten => _00493512222222,n,Dial(SIP/00493512222222&SIP/00493511111111,,R) of course it works... Now the problem is, that when a phone get the call, on the other phone I get "1 missed call"... Is it possible to avoid that and signaling the other phone, that the call was

Dear R developers, I am wondering what are the best practices for developing an R package. I am aware of Hadley Wickham's best practice documentation/book (http://r-pkgs.had.co.nz/). I recall a couple of years ago there were some tools for generating a package out of a single file, such as using package.skeleton, but no auto-generated documentation. Do you know a way to generate