similar to: Bug in update()? (PR#6902)

Hi all, I am running the following model: > glm89.nb <- glm.nb(AvGUD ~ Year*Trt*Micro) where Year has 3 levels, Trt has 2 levels and Micro has 3 levels. However when I run it has a zero inflated negative binomial (as I have lots of zeros) I get the below error message: > Zinb <- zeroinfl(AvGUD ~ Year*Trt*Micro |1, data = AvGUD89, dist = "negbin") Error in optim(fn =

Estimados amigos: Esta tarde he estado probando la librería mlr3, que me resulta muy interesante para trabajos de clasificación. En concreto, para entender su funcionamiento he probado un ejemplo simple (viene en CRAN). Sin embargo, cuando cambio el parámetro de clasifiación en la función de aprendizaje, me aparece el error siguiente: *Error: Element with key

Estimadísimo Carlos: Muchísimas gracias por responderme y hacerlo tan rápido. Contemplé esa posibilidad, es decir, que el hiperparámetro estuviera suponiendo un problema, y probé de esta forma: > learner <- lrn("classif.ranger", num.trees = 5, mtry = NULL) Error: Element with key 'classif.ranger' not found in DictionaryLearner!

I am trying to set up my Asterisk server so that it will recognize an incoming call to the Asterisk's own Location Routing Number (LRN), validating the "rn" in the INVITE and then using the Called Number from the INVITE as the extension in the dialplan. The INVITE R-URI looks like: INVITE sip:+19135041291;rn=+19136630000;npdi at 12.4.240.200:5060;user=phone;transport=udp SIP/2.0

Dear R users and developers, I have a dataset containing 34 variables measured in a survey, which has some missing items. I would like to conduct a factor analysis of this data. I tested mi, Amelia, and MissForest as alternative packages in order to impute the missing data. I now have 5 separate datasets with the variables I am interested in factor analysing. In my reading of the package

anova() on three or more objects behaves inconsistently in R. In R anovalist.lm does a sequential ANOVA using pairwise F tests, ignoring all the other objects, so the larger of the two models provides the denominator. In S anova.lmlist uses the denominator from the largest model (smallest residual df) in the set, as does anova.glmlist in both. I suggest that R's anovalist.lm is wrong (that

On Fri, Mar 18, 2016 at 10:49 AM Administrator TOOTAI <admin at tootai.net> wrote: > Le 18/03/2016 16:20, Trey Hilyard a ?crit : > > I am trying to set up my Asterisk server so that it will recognize an > > incoming call to the Asterisk's own Location Routing Number (LRN), > > validating the "rn" in the INVITE and then using the Called Number from >

predict.lm has been broken by recent changes to the patched branch. It fails for all singular fits. An example: library(MASS) data(quine) quine.hi <- aov(log(Days + 2.5) ~ .^4, quine) quine.nxt <- update(quine.hi, . ~ . - Eth:Sex:Age:Lrn) predict(quine.nxt) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 NA NA NA NA NA NA NA NA NA NA NA NA NA

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 18.03.2013 02:10, JonY wrote: > On 3/17/2013 23:01, LRN wrote: >>> All those ifdefs will at least be confined rather than spread >>> out through the code. >> I did it plibc-style: >> >> in compat.h: #if defined(_WIN32) #define FOPEN >> grabbag__fopen_utf8_wrapper #else #define FOPEN fopen #endif

Dear r list,   I am using glm.nb in the MASS package to fit negative binomial models to data on manta ray abundance, and AICctab in the bbmle package to compare model IC.  However, I need to test for the goodness of fit of the full model, and have not been able to find a Pearson's Chi Squared statistic in any of the output.  Am I missing it somewhere?  Is there a way to run the test using

Compiling on OS X 10.8 x86_64 as we speak. On Sun, Apr 28, 2013 at 3:00 PM, <flac-dev-request at xiph.org> wrote: > Send flac-dev mailing list submissions to > flac-dev at xiph.org > > To subscribe or unsubscribe via the World Wide Web, visit > http://lists.xiph.org/mailman/listinfo/flac-dev > or, via email, send a message with subject or body

Erik de Castro Lopo wrote: > lvqcl, > > Would you be able to have alook at this one? I think its > Windows related: > > https://sourceforge.net/p/flac/feature-requests/114/ > The relevant changes are <http://git.xiph.org/?p=flac.git;a=commitdiff;h=6a6207b52a86b1d7980a5233e297c0fc948bed7d> and

On Fri, 18 Mar 2016, Trey Hilyard wrote: > I thought this would be as easy as > exten => _XXXXXXXXXX\;rn=+19136630000,1,Goto(from_pstn,${EXTEN:0:10}) Have you tried the '_!.' pattern? -- Thanks in advance, ------------------------------------------------------------------------- Steve Edwards sedwards at sedwards.com Voice: +1-760-468-3867 PST

JonY wrote: > On 3/17/2013 23:01, LRN wrote: > >> All those ifdefs will at least be confined rather than spread out > >> through the code. > > I did it plibc-style: > > > > in compat.h: > > #if defined(_WIN32) > > #define FOPEN grabbag__fopen_utf8_wrapper > > #else > > #define FOPEN fopen > > #endif > > > > in

On 3/18/2013 19:34, LRN wrote: > On 18.03.2013 13:35, JonY wrote: >> Before anyone does anything, see __wgetmainargs >> <http://msdn.microsoft.com/en-us/library/ff770599.aspx>. > >> It can expand wildcards. Since it already provides argc/argv/env, >> it is more a less a drop-in replacement for the main() arguments. > I can't find its version info. MSDN

Dear R community, I would like to compare the degree of aggregation (or dispersion) of bacteria isolated from plant material. My data are discrete counts from leaf washes. While I do have xy coordinates for each plant, it is aggregation in the sense of the concentration of bacteria in high density patches that I am interested in. My attempt to analyze this was to fit negative binomial

Hi Folks, I'm playing with glm.nb() in MASS. Reference: the negative binomial distribution P(y) = (Gamma(theta+y)/(Gamma(theta)*y!))*(p^theta)*(1-p)^y y = 0,1,2,... in the notation of the MASS book (section 7.4), where p = theta/(mu + theta) so (1-p) = mu/(mu + theta) where mu is the expected value of Y. It seems from ?glm.nb that an initial value of theta is either supplied, or

LRN wrote: > f:/src/mingw-flac/flac-1.2.2-rc1/src/share/utf8/iconvert.c:175:5: > warning: passing argument 2 of 'libiconv' from incompatible pointer > type [enabled by default] > f:\mingw02\mingw-pc-i686\bin\../lib/gcc/mingw32/4.6.2/../../../../include/iconv.h:83:15: > note: expected 'const char **' but argument is of type 'char **' Firstly, what version of

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 01.04.2013 16:26, LRN wrote: > On 01.04.2013 14:40, Erik de Castro Lopo wrote: >> Hi all, > >> The latest pre-release is here: > >> http://downloads.xiph.org/releases/flac/beta/flac-1.3.0pre3.tar.xz > >> > flac-1.3.0pre3/include/share/compat.h:146:31: fatal error: > share/win_utf8_io.h: No such file or

"Aren't Windows users accustomed to this feature being missing anyway?" I use Mac mostly now, but when I used Windows, now and then I always expected the wildcard to work, it just worked on most things so it was actually a bit of a pain in the ass when it didn't. On Mon, Mar 18, 2013 at 5:35 AM, <flac-dev-request at xiph.org> wrote: > Send flac-dev mailing list