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Questions tagged [gam]

GAM (Generalized Additive Model) is a statistical model used to combine Generalized Linear Models with Additive Models.

GAM (Generalized Additive Model) is a statistical model used to combine Generalized Linear models with Additive Models. It is found in both the CRAN packages gam and mgcv for the R language.

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Regressions using Parallel/Multi-core Processes

I am trying to run the following code in R on a Linux cluster. I would like to use the full processing power (specifying cores/nodes/memory). The code below essentially runs predictions based on a GAM regression and saves the results as a CSV file…
shouro
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Running multiple GAMM models using for loop or lapply

Can someone please help me with running multiple GAMM models in a for loop or lapply: I have a set of 10 response and 20 predictor variables in a large data frame arranged in columns. I'd like to apply GAMM model for each predictor-response…
Joe
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Dropped factor levels with GAM fits

I'm using a GAM model to predict species abundance based on some environmental conditions at a given point. I have created a generalized additive model (GAM) to do this and base my predictions from. However, I have one categorical variable…
michael drexler
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Is there a way to find the published URL of all owned Google Sites?

I've been using GAM to locate all google site Drive files in my workspace domain and now have a list of addresses like this: https://sites.google.com/d/1450940359u5609586456/edit I'm trying to find a way to locate the published URL of the drive…
user1412705
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Model selection with beta and quassi families using gamm4

I have two responses which conform to beta (also known as betar) and Poisson families, and I am looking into fitting additive mixed-models with beta and quasi-families (count data is over-dispersed), respectively. I am aware that I could use gamm…
Gitu
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