search for: schnabel

...ce = FALSE) dat[,i] <- dat[,1] %in% a.sample } ## How large was each sample size? apply(X = dat, MARGIN = 2, FUN = sum) ## 1st element is irrelevant ## 2nd element through nth element: sample size for each of the 100 samples ## At this point, all computations can be done using dat ## Create Schnabel dataframe using dat ## Google the Schnabel formula schnabel.comp <- data.frame(sample = 1:n.samples, n.sampled = apply(X = dat, MARGIN = 2, FUN = sum)[2:length(apply(X = dat, MARGIN = 2, FUN = sum))] ) ## First column: which sample, 1-100 ## Second column: number se...

...> } > > ## How large was each sample size? > apply(X = dat, MARGIN = 2, FUN = sum) > ## 1st element is irrelevant > ## 2nd element through nth element: sample size for each of the 100 samples > > ## At this point, all computations can be done using dat > > ## Create Schnabel dataframe using dat > ## Google the Schnabel formula > > schnabel.comp <- data.frame(sample = 1:n.samples, > n.sampled = apply(X = dat, MARGIN = 2, FUN = > sum)[2:length(apply(X = dat, MARGIN = 2, FUN = sum))] > ) > > ## First column: which sa...

...(X = dat, MARGIN = 2, FUN = sum) > > > ## 1st element is irrelevant > > > ## 2nd element through nth element: sample size for each of the 100 > samples > > > > > > ## At this point, all computations can be done using dat > > > > > > ## Create Schnabel dataframe using dat > > > ## Google the Schnabel formula > > > > > > schnabel.comp <- data.frame(sample = 1:n.samples, > > > n.sampled = apply(X = dat, MARGIN = 2, FUN = > > > sum)[2:length(apply(X = dat, MARGIN = 2, FUN = s...

...each sample size? >> apply(X = dat, MARGIN = 2, FUN = sum) >> ## 1st element is irrelevant >> ## 2nd element through nth element: sample size for each of the 100 >> samples >> >> ## At this point, all computations can be done using dat >> >> ## Create Schnabel dataframe using dat >> ## Google the Schnabel formula >> >> schnabel.comp <- data.frame(sample = 1:n.samples, >> n.sampled = apply(X = dat, MARGIN = 2, FUN = >> sum)[2:length(apply(X = dat, MARGIN = 2, FUN = sum))] >> ) >> &gt...

Am 22.07.19 um 10:39 schrieb Stefan G. Weichinger via samba: > Am 20.07.19 um 11:54 schrieb Joachim Lindenberg via samba: >> I figured it out myself. The kerberos configuration on the old dc cobra was bad ? no clue why it worked at all until yesterday. >> >> After fixing it, testing with kinit, and restarting the dc processes it resumed replication. > > pls show how you

Hi, i never used dovecot so far, but i heard a couple good things about it .. for one the debian maintainer of the exim package recommended it :-) so i want to change our mailserver (currently using ipop3 and uw-imap) to dovecot ... now my boss seems to favour cyrus. i could use some good arguments for dovecot, also your experiences with it and with other mailservers so i can make a

Hi R-help! I'm trying to understand how R's nlm function updates its estimate of the Hessian matrix. The Dennis/Schnabel book cited in the references presents a number of different ways to do this, and seems to conclude that the positive-definite secant method (BFGS) works best in practice (p201). However, when I run my code through the optim function with the method as "BFGS", slightly different estimates...

Dear R People: I am trying to duplicate the example from Dennis and Schnabel's "Numerical Methods for Unconstrained Optimization and Nonlinear Equations", which starts on page 149. My reason for doing so: to try to understand the "nlm" function. Here is the function: >mfun1 function(x) { z <- matrix(0,nrow=2,ncol=1) z[1,1]...

am planing transition to dovecot right now ... just noticed dovecot debian package would install mysql ... it probably depens on just any database and uses ymsql by default .. but anyway why does it need one ? Florian

At present the documentation for nlm refers the reader to Dennis and Schnabel for details on the algorithms. It also states that the function is liable to change. Can anyone tell me if the current version of nlm uses only function values or if it can use gradients and Hessians when they are available? I would like to get an idea of how difficult it would be to port the de...

>>>>> "DougB" == Douglas Bates <bates@stat.wisc.edu> writes: DougB> ....... DougB> ....... { time comparisons in testing lme(..) for R } DougB> ....... DougB> This can be expected to run faster when a version of nlm that accepts DougB> gradients and Hessians is available. --- Doug, do I understand properly that it won't

...sensitive to start values when the parameters are of very different magnitudes), but setting fscale to the log-likelihood at the start values for the parameters seems to create problems. Any help, advice, or additional information would be appreciated. (I plan to take a look at the Dennis and Schnabel text cited in the help file for nlm but have not yet done so.) Thanks, John ----------------------------------------------------- John Fox Department of Sociology McMaster University Hamilton, Ontario, Canada L8S 4M4 email: jfox at mcmaster.ca phone: 905-525-9140x23604 web: www.socsci.mcmaster....

A non-text attachment was scrubbed... Name: not available Type: text Size: 1534 bytes Desc: not available Url : https://stat.ethz.ch/pipermail/r-help/attachments/19990701/51ad9da6/attachment.pl

I am trying to obtain some more detail regarding the nlm function available in the latest release of R. Specifically, what mimimization routine is being used... and ... does there exist a fortran or C version of it? Thank you, Joanna Joanna Elizabeth MILLS, M.Sc. Ph: (902) 494-3747 Dalhousie University Fax: (902) 494-5130 Department of Mathematics and

Dear R users, I have looked in the reference Schnabel, R. B., Koontz, J. E. and Weiss, B. E. (1985) A modular system of algorithms for unconstrained minimization. _ACM Trans. Math. Software_, *11*, 419-440. cited in the nlm help. This article says that the algorithm permits the use of step selection (line search, dogleg and optimal step),...

...se of numerical/roundoff issues), and thus, the Cholesky decomposition does not exist. So, I want to use a modified Cholesky algorithm to estimate a Cholesky of a pseudovariance that is reasonably close to the original matrix. I know that there are R packages that contain code for Gill-Murray and Schnabel-Eskow algorithms for standard, dense, base-R matrices. But my Matrix is large (k=30000), and sparse (block-arrow structure, stored as a dsCMatrix class from the Matrix package). Is anyone aware of existing code (or perhaps an algorithm that is easy to adapt) that would perform a modified Choles...

On Tue, Nov 20, 2001 at 11:48:17AM +0100, Florian Schnabel wrote: > I need to build a VPN and want to use tinc ... > The problem is, neither of the two PC's got a static IP ... > (stupid german ISP's) > so i need to figure out a way to do this without ... > i got root access to a server with static IP to > exchange the IP's ....

...resolved in this release: Bugs fixed in this release: ----------------------------------- * PRI-180 - Incorrect handling of DISCONNECT with Progress Indicator #8 (Reported by Alexandr Dranchuk) * PRI-173 - libpri does not handle keypad facility IE in overlap mode (Reported by Gerald Schnabel) * PRI-182 - Tighten mandatory ie checks and other misc items (Reported by Kevin Harwell) For a full list of changes in this release, please see the ChangeLog: http://downloads.asterisk.org/pub/telephony/libpri/ChangeLog-1.5.0 Thank you for your continued support of Asterisk!

Hi all, I am wondering if anyone has implemented (or at least tried to) an automatic reparametrization in order to satisfy "trivial" constraints (in the sense of Dennis & Schnabel, 1983) in optimization problems. To be perhaps clearer let us consider a simple bi-exponential model for some recorded signal (sorry for the LaTex notations I hope they aren't too confusing): $s(t) = A (p_{fast} \exp(-\frac{t}{t_{fast}}) + p_{slow} \exp(-\frac{t}{t_{slow}}) $ where we would hav...

...(res_pjsip_session) leads to crash. (Reported by Paulo Vicentini) * ASTERISK-28257 - res_http_websocket: PING / PONG opcodes break data reception (Reported by Jeremy Lain��) * ASTERISK-28252 - HangupHandler manager events are never thrown (Reported by Gerald Schnabel) * ASTERISK-28231 - res_http_websocket: Not responding to Connection Close Frame (opcode 8) (Reported by Jeremy Lain��) * ASTERISK-28249 - res_monitor: Segfault with Monitor(wav,file,i) (Reported by Valentin Vidi��) * ASTERISK-28244 - stasis: Filter messages at publ...