search for: logexp

...uade the various GLMM models to work with my user-defined link function. Actually, glmmPQL seems to work, but as I want to evaluate a suite of competing models, I'd like to use ML or REML estimation methods in order to end up with meaningful log-likelihoods. Here's the link function I use: logexp <- function(days = 1) { linkfun <- function(mu) qlogis(mu^(1/days)) linkinv <- function(eta) plogis(eta)^days mu.eta <- function(eta) days*.Call("logit_mu_eta", eta, PACKAGE = "stats")*plogis(eta)^(days-1) valideta <- function(eta) TRU...

I apologize for my earlier posting that, unbeknownst to me before, apparently was not in the correct format for this list. Hopefully this attempt will go through, and no-one will hold the newbie mistake against me. I could really use some help in writing a new glm link function in order to run an analysis of daily nest survival rates. I've struggled with this for weeks now, and can at least

...ixed-effect models I'm hoping to fit involve more than a single random factor. An example of how I've been doing this with glm() is shown below to illustrate what I'm hoping to scale up to a mixed model. Thanks very much for your time and thoughts. ----------------- library(MASS) logexp <- function(days = 1) ##Custom link function from Shaffer (2004) Auk 121:526-540. { linkfun <- function(mu) qlogis(mu^(1/days)) linkinv <- function(eta) plogis(eta)^days mu.eta <- function(eta) days * plogis(eta)^(days-1) * .Call("logit_mu_eta", eta, PACKAG...

...ect, in this case site. I had previously been using glm with a custom link function, but my understanding is that lmer does not currently allow a custom link. Therefore, I was investigating if other procedures for mixed models will allow a custom link function. here is the custom link function: logexp <- function(days = 1) { linkfun <- function(mu) qlogis(mu^(1/days)) linkinv <- function(eta) plogis(eta)^days mu.eta <- function(eta) days * plogis(eta)^(days-1) * .Call("logit_mu_eta", eta, PACKAGE = "stats") valideta <- function(eta) TRUE...