similar to: Problem reading a graph file

Buenos días; Estoy intentando aprender algo de sobre los modelos lineales mixtos. Estoy siguiendo el libro "Multilevlel analysis: techniques and applications" de Joop Hox. Estoy intentado reproducir las tablas y gráficos que trae el libro con el paquete lmer. En este libro se indica que en la comprobación de los supuestos del modelo hay que estudiar los gráficos de residuales tanto

Dear Michael, my package has setOldClass("inla") and the NAMESPACE contains exportClasses(inla) and importFrom(INLA, inla.posterior.sample) the old version of INLA uses the S3 class "inla" but does not export it. the new version of INLA has setOldClass("inla") and the NAMESPACE contains exportClasses(inla) installing my package in combination with an older INLA

Dear all, Today I got this error message (R 3.6.1) when installing my package: Error: package or namespace load failed for ?inlatools? in namespaceExport(ns, exports): undefined exports: .__C__inla My package was using setOldClass("inla") and exported the "inla" class via the NAMESPACE. It imports functions from the INLA package. Older versions of the INLA package did not

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

Just to clarify, your package is exporting a class that is not defined? Or is it exporting a class that is defined by a dependency and then masked by setOldClass()? A simple reproducible example would help. On Fri, Sep 6, 2019 at 7:48 AM Thierry Onkelinx via R-devel <r-devel at r-project.org> wrote: > > Dear all, > > Today I got this error message (R 3.6.1) when installing my

I'm searching a method to estimate the hyper-parameters in arima models. I'm reading about r-inla package, but in the examples section only talk about the AR part of the arima, but i need help about the MA part too. I'm beginner in Bayesian methods, I'm reading the documentation about dlm package and kalman filters, but the computacional cost of inla i think is better, but only

Hi, As far as I know, there exist some programs via the function INLA, but I'm so curious if there is a specific function directly used to fit the log Gaussian Cox process model and predict the latent Gaussian field. That is, if I have a data points, then I input it in the function and don't need to revise the program. Thanks for your help. Joseph -- View this message in context:

We would like to announce the following statistics course: Course: Introduction to Linear Mixed Effects Models and GLMM with R Where:? Lisbon, Portugal When:?? 19-23 February 2018 Course website: http://highstat.com/index.php/courses Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_02LisbonV2.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St

A long formula which is converted using as.character, looses its last part: ``diagonal = 1e-12)'' Shorter formula is ok though. Best, H??vard ************ Browse[2]> formula.str y ~ -1 + b1 + b2 + b3 + b4 + b5 + b6 + b7 + b8 + b9 + b10 + b11 + b12 + b13 + b14 + b15 + b16 + b17 + b18 + b19 + b20 + b21 + b22 + b23 + b24 + b25 + b26 + b27 + b28 + b29 + b30 + b31 + b32 +

Hi all, I'm running into some computer issues when trying to run a binomial model for spatially correlated data using glmmPQL and was wondering if anyone could help me out. My whole dataset consists of about 300,000 points for which I have a suite of environmental variables (I'm trying to come up with a habitat model for a species of seal, using real (presence) and simulated dives

Hi, I'm trying to build a mixed-effects model in which I'd like to include either a distance matrix or a phylogenetic tree as a random effect. The troubles I've had are that: 1. Function lmer() in package lme4 only accepts a data frame column as a random factor and not a distance matrix. 2. Function MCMCglmm() in package MCMCglmm only accepts a rooted and ultrametric phylogenetic

Hello all, Does anyone know if there exists any function in R that resembles the "lincom" and "nlcom" of STATA?. These functions computes point estimates, standard errors, significance levels, confidence intervals, etc. for linear and non linear combinations of previous estimated parameters. Down here you've got links to descriptions of the functions of STATA nlcom: