similar to: using phia with glmmTMB

Dunno ... But you might do better posting this on the r-sig-mixed-models list where it both should fit better and where you are more likely to find the relevant expertise. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu,

Dear R users, I want to announce an update of the package "phia", version 0.2-0, now on CRAN: <http://cran.r-project.org/web/packages/phia/> "phia" (Post-Hoc Interaction Analysis) is aimed at the analysis of the expected values and other terms of in linear, generalized, and mixed linear models, on the basis of multiple comparisons of factor contrasts, and is specially

Dear R users, I want to announce an update of the package "phia", version 0.2-0, now on CRAN: <http://cran.r-project.org/web/packages/phia/> "phia" (Post-Hoc Interaction Analysis) is aimed at the analysis of the expected values and other terms of in linear, generalized, and mixed linear models, on the basis of multiple comparisons of factor contrasts, and is specially

Hi List, I'm having some trouble finding documentation for the package glmmTMB. I would like to fit a zero-truncated poisson, what do I need to specify in "family = " for this distribution? Thanks! Alice [[alternative HTML version deleted]]

Goal: use GEE or GLMM to analyze repeated measures data in R GEE problem: can?t find a way to do GEE with negative binomial family in R GLMM problem: not sure if I?m specifying random effect correctly Study question: Does the interaction of director and recipient group affect rates of a behavior? Data: Animals (n = 38) in one of 3 groups (life stages): B or C. Some individuals (~5)

Duncan Murdoch <murdoch.duncan <at> gmail.com> writes: > > On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: > > Folks: > > [snip snip snip] > > > > Is there a way to do a conditional importFrom based on the OS? Or can I > > safely ignore this (I'm trying to submit to CRAN). > > > > Yes, you can put conditionals into the

Dear all, I have had some rather serious difficulties getting graphics and analysis packages to load in R on my new Ubuntu Install. The trouble seems to begin when attempting to install TMB. I have done a full purge of r-base r-base-dev and r-base-core and reinstalled the newest version of RStudio (not that this should matter). I'm not sure what to try next. many thanks! Brandon Z >

CRAN, by relying on the powerful package management system that is part of R, provides an unparalleled framework for extending R with nearly 20k packages. We recently encountered an issue that highlights a missing element in the otherwise outstanding package management system. So we would like to start a discussion about enhancing its feature set. As shown below, a mechanism to force

On 04/10/2015 7:34 PM, Ben Bolker wrote: > Duncan Murdoch <murdoch.duncan <at> gmail.com> writes: > >> >> On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: >>> Folks: >>> > > [snip snip snip] > >>> >>> Is there a way to do a conditional importFrom based on the OS? Or can I >>> safely ignore this (I'm trying

Folks: I am getting a build failure when I: #' @importFrom utils shortPathName which roxygenizes it to the NAMESPACE. I suspect this is because this particular function is Windows-only, but I'm a bit confused how I should "properly" importFrom a function like this so it doesn't cause a build failure, but I don't get a note in my R CMD CHECK if I DON'T have it:

Georges Monette and I would like to announce a new package, cv, now on CRAN, which implements cross-validation of regression models. Some of the functions supplied by the package: - cv() is a generic function with a default method and computationally efficient "lm" and "glm" methods, along with a method for a list of competing models. There are also experimental

Georges Monette and I would like to announce a new package, cv, now on CRAN, which implements cross-validation of regression models. Some of the functions supplied by the package: - cv() is a generic function with a default method and computationally efficient "lm" and "glm" methods, along with a method for a list of competing models. There are also experimental

I am estimating fairly simple zero-inflated negative binomial models in glmmTMB. The models have just two factors and their interaction, a total of 4 levels. I was trying to use emmeans() to obtain estimates and 95% CI for these four levels. However, when I use emmeans() with the arguments component="response", type ="response", I do not get estimates that look like the

That is very strange. I am using Ubuntu 16.04 and managed to install it in less than 5 minutes. OA On Wed, Jan 10, 2018 at 12:00 PM, Luca Danieli <mr.lucedan at hotmail.it> wrote: > Hi all, > > I am new. I am installing the library sjPlot on Ubunto 16.10 and I guess > it is installing some dependencies. But it is taking more than 1.5 hours, > is it possible? > > It

Following up on this -- on my system, I have 69 packages installed that appear to provide something like a confint() method: h <- help.search("confint", agrep = FALSE) p <- sort(unique(h$matches$Package)) length(p) ## [1] 69 p [1] "bamlss" "bbmle" "binom" "brglm2" [5] "broom"

Hi all, I am new. I am installing the library sjPlot on Ubunto 16.10 and I guess it is installing some dependencies. But it is taking more than 1.5 hours, is it possible? It has right now halted (hope momentarily) in installing the package 'rstan', particularly the file lang__grammars__statement_grammar_inst.o Other packages installed include: dygraphs, colourpicker, raster. Is it good

? Tue, 21 May 2024 08:00:11 +0000 Dario Strbenac via R-devel <r-devel at r-project.org> ?????: > Would a less resource-intensive value, such as 1, be a safer default > CPU value for confint? Which confint() method do you have in mind? There is at least four of them by default in R, and many additional classes could make use of stats:::confint.default by implementing vcov(). >

Hi, I just started to use R for my Phd. I have to write a Formula by witch, given two matrices of vectors (electrostatic potential map) I shall calculate the similarity between them. Could you please tell me if I'am doing it right. The complecte formula is attached to an image file the script #!/usr/bin/env Rscript options(max.print=2000000) x<-read.table("a")

A (late) update to this question: On Fri Aug 17 07:33:29, Henrik Singmann wrote: > Hi Diego, > > I am struggeling with this question also for some time and there does > not seem to be an easy and general solution to this problem. At least I > haven't found one. > However, if you have just one repeated-measures factor, use the solution > describe by me here:

Hi, I performed an ANOVA repeated measures but I still can't find any good news regarding the possibility to perform multiple comparisons. Can anyone help me? Thanks Diego Bucci Fisiologia Veterinaria Dipartimento di Scienze Mediche Veterinarie Università degli Studi di Bologna Via Tolara di Sopra, 50 40064 Ozzano dell'Emilia, BO Tel. 00390512097904 mail diego.bucci3@unibo.it