glm_one_predictor_model.R
In mac-theobio/effects: isolated confidence intervals and bias-corrected predictor effects
library(shellpipes)
library(glmmTMB)
loadEnvironments()
startGraphics()
#### Model
glm_mod <- glm(status~age#+x2
, data=glm_sim_df
, family = binomial
)
summary(glm_mod)
saveEnvironment()
mac-theobio/effects documentation built on July 6, 2023, 4:19 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
library(shellpipes)
library(glmmTMB)
loadEnvironments()
startGraphics()
#### Model
glm_mod <- glm(status~age#+x2
, data=glm_sim_df
, family = binomial
)
summary(glm_mod)
saveEnvironment()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.