search for: oout

Displaying 11 results from an estimated 11 matches for "oout".

Did you mean: out
2007 Aug 13
1
[Fwd: behavior of L-BFGS-B with trivial function triggers bug in stats4::mle]
...e+01 3.389441e+01 3.389441e+01 5.048277e-270 3.389441e+01 *** mle.R 2007-07-27 11:50:38.000000000 -0400 --- src/library/stats4/R/mle.R 2007-08-13 17:47:11.000000000 -0400 *************** *** 56,62 **** l[n] <- fixed do.call("minuslogl", l) } ! oout <- optim(start, f, method=method, hessian=TRUE, ...) coef <- oout$par vcov <- if(length(coef)) solve(oout$hessian) else matrix(numeric(0),0,0) min <- oout$value --- 56,66 ---- l[n] <- fixed do.call("minuslogl", l) } ! if (len...
2014 Jan 26
2
[LLVMdev] [llmdev] fail to process llvm generated assembly on windows/mingw32
...terElim(true); output.reset(); targetMachine.emit(module, output, CodeGenFileType.AssemblyFile); module.dispose(); context.dispose(); byte[] asm = output.toByteArray(); output.reset(); asm = output.toByteArray(); BufferedOutputStream oOut = new BufferedOutputStream(new FileOutputStream(oFile)); targetMachine.assemble(asm, clazz.getClassName(), oOut); oOut.close(); (I use a java binding for llvm) Unfortunately, the assemble call fails with the error: org.robovm.llvm.LlvmException: java.io.PrintWriter:478:2: error:...
2006 Jun 23
1
How to use mle or similar with integrate?
Hi I have the following formula (I hope it is clear - if no, I can try to do better the next time) h(x, a, b) = integral(0 to pi/2) ( ( integral(D/sin(alpha) to Inf) ( ( f(x, a, b) ) dx ) dalpha ) and I want to do an mle with it. I know how to use mle() and I also know about integrate(). My problem is to give the parameter values a and b to the
2019 Feb 19
1
mle (stat4) crashing due to singular Hessian in covariance matrix calculation
Hi, R developers. when running mle inside a loop I found a nasty behavior. From time to time, my model had a degenerate minimum and the loop just crashed. I tracked it down to "vcov <- if (length(coef)) solve(oout$hessian)" line, being the hessian singular. Note that the minimum reached was good, it just did not make sense to calculate the covariance matrix as the inverse of a singular Hessian. In my case i am just interested on the value of the log-likelihood. For my application, I patched it easil...
2007 Jul 29
1
behavior of L-BFGS-B with trivial function triggers bug in stats4::mle
...te all the way to the bottom of this yet, but the attached code will clearly show the problem. In the version of mle that I've built (which has gotten some ugly bells and whistles added) I added a check which would be more or less equivalent to check if length(start)==0 and then setting oout <- list(par=start, value=f(start), hessian = matrix(numeric(0),0,0) or something along those lines. Or one could change L-BFGS-B to behave the same as the other methods. cheers Ben Bolker --------------------- library(stats4) ## using example from ?mle x <- 0:10...
2017 Nov 07
2
Using MLE on a somewhat unusual likelihood function
So I am trying to use the mle command (from stats4 package) to estimate a number of parameters using data but it keeps throwing up this error message: Error in solve.default(oout$hessian) : Lapack routine dgesv: system is exactly singular: U[1,1] = 0 This error sometimes indicates that the list of starting values is too far from optimum but this is unlikely since I picked values close to where the parameters usually end up. I have also tried switching these around a bit....
2005 Mar 19
1
ANI & DNIS sent to analog FXs Port Possible
...to your provider. My question is : "Am I correct in thinking that I can have asterisk answer the incoming call from telco on the PRI, Grab the ANI/DNIS Information and then route it to a channel back via a second PRI Port and have the channel bank pass the ANI/DNIS of the original caller oout to the proprietary box in an analog fashion?" My understanding is that the Proprietary box does its magic and then would need to transfer the call back to a Specific user on the PBX via flash hook transfer. If I am on the right track can anyone point me in direction of channel backs that wil...
2005 Jan 21
0
three way call using sip - SOLVED -
...nda@americatel.com.sv Sent: Friday, January 21, 2005 1:41 PM To: asterisk-users@lists.digium.com Subject: RE: [Asterisk-Users] three way call using sip I connect to the PSTN using cisco as5400 gateways, this cisco devices have E1's to a DMS300 switch. I mean, i configured sip channels (in and oout) to these gateways, i dont have any special hardware in the asterisk server. thanks -----Original Message----- From: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users-bounces@lists.digium.com]On Behalf Of Paul Rodan Sent: Friday, January 21, 2005 12:51 PM To: 'Asterisk Users Maili...
2017 Nov 07
0
Using MLE on a somewhat unusual likelihood function
(inline) > On 7 Nov 2017, at 06:02 , Hugo Andr? <karlhugoandre at gmail.com> wrote: > > So I am trying to use the mle command (from stats4 package) to estimate a > number of parameters using data but it keeps throwing up this error message: > > Error in solve.default(oout$hessian) : > Lapack routine dgesv: system is exactly singular: U[1,1] = 0 > > This error sometimes indicates that the list of starting values is too far > from optimum but this is unlikely since I picked values close to where the > parameters usually end up. I have also tried switc...
2005 Jan 21
4
three way call using sip
Hi, i cant make a three way call using grandstream phones (BT-100) and asterisk using sip, is this supported or i need a zap interface? thanks
2006 Jun 02
2
Problem with mle
...let me know. I want to fit different distributions to an observed count of seeds and in the next step use AIC or BIC to identify the best distribution. But when I run the script below (which is part of my original script), I get one error message for the first call of mle: Error in solve.default(oout$hessian) : Lapack routine dgesv: system is exactly singular In addition: Warning messages: 1: NaNs produced in: dweibull(x, shape, scale, log) 2: NaNs produced in: dweibull(x, shape, scale, log) 3: NaNs produced in: dweibull(x, shape, scale, log) 4: NaNs produced in: dweibull(x, shape, scale, log)...