similar to: help with lasso2 package

Hi, I tried several settings by using the "family=gaussian" in "gl1ce", but none of them works. For the case "glm" can work. Here is the error message I got: > glm(Petal.Width~Sepal.Length+Sepal.Width+Petal.Length ,data=iris,family=gaussian()) > gl1ce(Petal.Width~Sepal.Length+Sepal.Width+Petal.Length ,data=iris,family=gaussian()) Error in eval(expr, envir,

Hi, I'm using gl1ce with family=binomial like so: >yy succ fail [1,] 76 23 [2,] 32 67 [3,] 56 43 ... [24,] 81 18 >xx c1219 c643 X1 0.04545455 0.64274145 X2 0.17723669 0.90392792 ... X24 0.80629054 0.12239320 >test.gl1ce <- gl1ce(yy ~ xx, family = binomial(link=logit), bound = 0.5 ) or >omit <- c(2,3) >test.gl1ce

Hello, I am trying to shrink the coefficients of a logistic regression for a sparse dataset, I am using the lasso (lasso2) and I am trying to determine the shrinkinage factor by cross-validation. I would like please some of the experts here to tell me whether i'm doing it correctly or not. Below is my dataset and the functions I use w= a b c d e P A 0 0 0 0 0 1 879 1 0 0 0 0 1 3 0 1 0 0 0 7 7

Hi all, I want to know some details about the c routine “lasso” in the functions of “gl1ce()” . However, I have following troubles. First, I can not find the routine in the local directories of this function (or package). Second, if I found the routine, could I call it just like this way, say, fit <- .C("lasso", …,PACKAGE = "lasso2") in my own functions. My system is

Full_Name: Grant Izmirlian Version: 2.2.0 OS: SuSe Linux version 9.2 Submission from: (NULL) (156.40.34.177) Sorry about the last submission, my bug-fix had an error in it because ifelse doesn't vectorize. I'll repost with the correct bug-fix. ------------------------------------------------------------------------------- The option exists to include all parameters, including the

All, Could anyone recommend a package that allows the user to constrain the coefficients from a multiple regression equation? I tried using the gl1ce function in lasso2, but couldn't get it to work. I created a contrived example to illustrate my starting point. data(cars) fmla <- formula(dist ~ speed) gl1c.E <- gl1ce(fmla, data = cars) gl1c.E gl1c.E <- gl1ce(fmla, data =

Dear all, I was recently contacted by a user about an alledged problem/bug in the latest version of lasso2. After some investigation, we found out that it was a user error which boils down to the following: > x <- matrix(rnorm(200), ncol=2) > var <- "fred" > apply(x, 2, var) Error in get(x, envir, mode, inherits) : variable "fred" of mode "function"

In the example below, the Memory Sanitizier (from clang 3.3) reports an error: #include <math.h> int main() { double x; (void) modf(0, &x); if (x) { // Boom return 1; } return 0; } I see that modf() is not implemented by compiler-rt. Is it possible to make the Memory Sanitizer assume that all un-instrumented functions initialize any pointers arguments?

Am 18.02.2012 09:24, schrieb Blue Swirl: > On Wed, Feb 8, 2012 at 17:06, Roger Pau Monne <roger.pau@entel.upc.edu> wrote: >> libm is used in cutils.c, but the library was not specified >> when linking some binaries, throwing the following error: >> >> cutils.o: In function `strtosz_suffix_unit': >> /home/royger/xen-clean/tools/qemu-xen-dir/cutils.c:354:

Dear R-users, For the purpose of model selection I am looking for a way to exhaustively (and efficiently) search for best subsets of predictor variables for a logistic regression model. I am looking for something like leaps() but that works with glm. Any feedback highly appreciated. -- Harald von Waldow <hvwaldow at chem.ethz.ch> Safety and Environmental Technology Group Institute for

Hi, I receive the following error while I try to install rgl package: CC -xtarget=native64 -I/opt/R-2.8.1/lib/R/include -I/opt/SUNWhpc/HPC8.1/sun/include -DHAVE_PNG_H -I/usr/include/libpng12 -DHAVE_FREETYPE -Iext/ftgl -I/usr/sfw/include/freetype2 -I/usr/sfw/include -Iext -I/opt/SUNWhpc/HPC8.1/sun/include -I/usr/sfw/include -I/opt/csw/include -KPIC -O -c Background.cpp -o Background.o

Dear List, I am looking for a function that will find the best subset of negative binomial models. I have a large data set with 15 variables that I am interested in. I want an easy way to run all possible models and find a subset of the "best" models that I can then look at in more detail. I have found two functions that seem to provide what I am looking for, but am not sure which

Remove the hardcoded use of libm and instead rely on configure to check for it. It is needed at least for qemu-ga and qemu-system. Signed-off-by: Roger Pau Monne <roger.pau@entel.upc.edu> --- Makefile.target | 4 ---- configure | 14 ++++++++++++++ 2 files changed, 14 insertions(+), 4 deletions(-) diff --git a/Makefile.target b/Makefile.target index a111521..1bfd419 100644 ---

Dear all, I am quite puzzled about the bound and absolute.t arguments to the l1ce function in the lasso2 package. (The l1ce function estimates the regression parameter b in a regression model y=Xb+e subject to the constraint that |b|<t for some value t). The doc says: bound numeric, either a single number or a vector: the constraint(s) that is/are put onto the L1 norm of the parameters.

Hello, I am trying to cross-compile libc++ from my x86_64 linux system to armv7hf. We have our own gcc compiler that we build with crosstools-ng (based on gcc 6.3.0) and I set my environment like this: CC=armv7a-plex-linux-gnueabihf-gcc CXX=armv7a-plex-linux-gnueabihf-g++ CFLAGS=-fPIC -DPIC -mfloat-abi=hard -march=armv7-a -Os -mfpu=vfpv3-d16 --sysroot=<path> CXXFLAGS=-fPIC -DPIC

On Jul 21, 2008, at 1:21 PM, Stefanus Du Toit wrote: > Hi, > > We would like to extend the vector operations in llvm a bit. We're > hoping to get some feedback on the right way to go, or some starting > points. I had previously had some discussion on this list about a > subset of the changes we have in mind. > > All of these changes are intended to make

At first glance, it looks like long double functions (such as fabsl and friends) are missing from your sysroot's <math.h>. Does your target support long double at all? -Dimitry > On 6 Feb 2018, at 09:51, Tobias Hieta via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Hello, > > I am trying to cross-compile libc++ from my x86_64 linux system to armv7hf. We have

Hello Dimitry and thanks for your answer. I am pretty sure it does indeed support long double. It's configured with vfpv3-d16 - but I noticed that c++config.h in gcc has _GLIBCXX__HAS_FABSL and friends are undefined. I think I need to look deeper at the configuration of our toolchain. long double support is required in libc++ then I gather? -- Tobias On Tue, Feb 6, 2018 at 11:47 AM,

Hello, I am trying to cross-compile libc++ from my x86_64 linux system to armv7hf. We have our own gcc compiler that we build with crosstools-ng (based on gcc 6.3.0) and I set my environment like this: CC=armv7a-plex-linux-gnueabihf-gcc CXX=armv7a-plex-linux-gnueabihf-g++ CFLAGS=-fPIC -DPIC -mfloat-abi=hard -march=armv7-a -Os -mfpu=vfpv3-d16 --sysroot=<path> CXXFLAGS=-fPIC -DPIC

Hi all, I'd like you to know i'm not able to build Speex library anymore from CVS without modfing the code in mdf.c. This is due to the fact that EVC++ compiler doesn't like memory allocations in this form: spx_word16_t w[N]; where N is not a constant. I know this is not an error for gcc compiler and ANSI standard but it is in VS2005 and EVC++ 4.0 If someone knows how to compile