Linear model with log-transformed response vs. generalized linear …
In a generalized linear model, the mean is transformed, by the link function, instead of transforming the response itself. The two methods of transformation can lead to quite different …
generalized linear model - Using R for GLM with Gamma …
r generalized-linear-model gamma-distribution dglm Cite Improve this question edited Feb 27, 2017 at 14:35
generalized linear model - Understanding Interaction Term In …
Mar 17, 2023 · Hoping to get some clarification on my understanding of interaction terms in a GLM model I have produced. I have written the following model interactionmodel <- lme …
generalized linear model - How to report the results of a glm from …
Jan 31, 2020 · Start asking to get answers Find the answer to your question by asking. Ask question r generalized-linear-model p-value reporting
General Linear Model vs. Generalized Linear Model (with an …
A generalized linear model specifying an identity link function and a normal family distribution is exactly equivalent to a (general) linear model. If you're getting noticeably different results from …
generalized linear model - What are the differences between …
Jul 7, 2017 · The normal linear model is a special case of GLM, while OLS is a distribution free algorithm to find its solution. The classic t-test is a special case of the normal linear model.
generalized linear model - How to approach GLMs using data with …
Jun 27, 2024 · Explore related questions r generalized-linear-model beta-distribution See similar questions with these tags.
generalized linear model - Post-hoc after GLM - Cross Validated
Dec 19, 2014 · I am running a GLM, using the function glm.nb (pscl package) trying to figure how what could influence a particular trait in several locations and years. The output as follow (with …
generalized linear model - How to interpret parameters of GLM …
Oct 12, 2019 · I am having tough time interpreting the output of my GLM model with Gamma family and log link function. My dependent variable if "Total Out-of-pocket cost" and my …
generalized linear model - What better I use for Negative Binomial ...
Mar 28, 2022 · The negative binomial model is a generalized linear model only when the overdispersion parameter theta is known. In applications, we don't know it, and it needs to be …