glme_random_intercept_model.R
In mac-theobio/effects: isolated confidence intervals and bias-corrected predictor effects
library(shellpipes)
library(glmmTMB)
loadEnvironments()
startGraphics()
#### Model
glme_mod <- glmmTMB(status~age+(1|hhid)
, data=glme_sim_df
, family = binomial()
)
summary(glme_mod)
saveEnvironment()
mac-theobio/effects documentation built on July 6, 2023, 4:19 a.m.
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library(shellpipes)
library(glmmTMB)
loadEnvironments()
startGraphics()
#### Model
glme_mod <- glmmTMB(status~age+(1|hhid)
, data=glme_sim_df
, family = binomial()
)
summary(glme_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.
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