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Hi all, I need to run a model in glmmML due to a restriction in some companion code. Is it possible to specify multiple random effects in the glmmML function? I would appreciate if someone could provide an example. Thanks...
Dear R users, I've used the function qr.fit.sfn to estimate a quantile regression on a panel data set. Now I would like to compute an statistic to measure the goodness of fit of this model. Does someone...
Hello all, I have fit a GLMM to presence/absence data (family = binomial) from an acoustic telemetry study. I have five fixed effects-Year (a factor), Day of Year, Hour of Day, Sex (a factor), and water temperature-and one...
Hi all, Not sure this question is appropriate for this listserv, but I'm not sure where to ask it. I'm trying to develop an R Shiny App based on a Population Viability Analysis. I'm not finding any...
It sounds like one of your columns is all zeros. Look at the input data to make sure all observations have positive values. -----Original Message----- From: R-sig-ecology <r-sig-ecology-bounces at r-project.org> On Behalf Of...
Hi all! I am fitting a GLMM to presence/absence data (family = binomial) from an acoustic telemetry study. I have two fixed effects (Year and Hour) in addition to one random effect (FishID). One of the fixed effects is continuous...
Sundar Dorai-Raj writes: > Hi, Laura, > > Would ?predict.glm be better? > > plot(logarea, hempresence, > xlab = "Surface area of log (m2)", > ylab="Probability of hemlock seedling presence", > type="n", font.lab=2, cex.lab=1.5, axes=TRUE) > lines(logarea, predict...
Thanks, everyone, for your quick response. I am interested in the relationship between the outcome and each explanatory variable. I am interested in creating plots similar to Figures 4a and 4b in the paper at https://www.frontiersin.org/journals...
Hi there, I've looked through the very helpful advice about adding fitted lines to plots in the r-help archive, and can't find a post where someone has offered a solution for my specific problem. I need to...
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