Generalized additive models (GAMs), interactions, and covariates
I've been exploring a number of tools for forecasting, and have found Generalized Additive Models (GAMs) to have the most potential for this purpose. GAMs are great! They allow for …
regression - When to use a GAM vs GLM - Cross Validated
Dec 5, 2018 · I realize this may be a potentially broad question, but I was wondering whether there are assumptions that indicate the use of a GAM (Generalized additive model) over a …
r - Generalized additive models: What exactly is being penalized …
Mar 3, 2021 · Generalized additive models: What exactly is being penalized when using a P-spline smoother with $\texttt {mgcv}$? Ask Question Asked 4 years, 8 months ago Modified 4 …
r - Time series analysis via generalized additive models: model ...
Dec 11, 2018 · I have settled on building a generalized additive mixed model using mgcv::gamm, on data and for purposes I have described in more detail here. In a nutshell, I want to explain …
Visualize Generalized Additive Model (GAM) in R [closed]
Feb 19, 2023 · Visualize Generalized Additive Model (GAM) in R [closed] Asked 2 years, 8 months ago Modified 2 years, 8 months ago Viewed 1k times
regression - How I can interpret GAM results? - Cross Validated
Jan 11, 2016 · I have a question about Generalized Additive Models. What is deviance explained, GCV score and scale est in GAM results? What do these indicators show?
Model selection for GAM in R - Cross Validated
Apr 26, 2019 · I am wondering what is the best process for selecting a best GAM model in R. Some of the models I built had significant predictor variables and a significant intercept but …
generalized additive model - When and why would you not want …
Nov 12, 2019 · Overfitting. More complicated models are more prone to overfitting, especially for small sample sizes. Complicated model may simply memorize the training dataset and not …
restricting k in generalized additive models - Stack Overflow
Jan 1, 2024 · 1 I am using mgcv::gam to fit generalized additive models to ecological data. I have been setting k as large as possible as advised in various books, tutorials, and posts here, …
generalized additive model - Is there a formal way to determine …
Oct 29, 2020 · As a rule of thumb, the minimum suggested sample size for a linear model is at least 10 per parameter included in the model (Bolket et al., 2009). I know that in GAMs, …