growth curve model for binary outcome in r

To fit a growth curve model for a binary outcome in R, you can use the glmer function from the lme4 package. This is a mixed effects model function that allows you to include fixed and random effects in the model.

Here is an example code for fitting a growth curve model for a binary outcome using glmer:

main.r
library(lme4)

# Fit growth curve model for binary outcome
model <- glmer(outcome ~ time + (1 + time | subject), data = mydata, family = binomial())

# Print model summary
summary(model)
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In this code, we are fitting a growth curve model for a binary outcome outcome using the predictor time. We are also including subject as a random intercept and slope with 1 + time | subject. The family = binomial() specifies the binomial family for the binary outcome.

Once the model is fit, we can use summary function to see the model output.

Note: make sure to have a clear understanding of mixed effects models before attempting to fit one.