cubic_predictors_model.R

In mac-theobio/effects: isolated confidence intervals and bias-corrected predictor effects

library(shellpipes)
library(dplyr)
library(splines)

loadEnvironments()
startGraphics()
 
set.seed(9991)

############################################################################################
## Joint model
############################################################################################

## Observed averages
### Outcomes
true_prop_df <- (sim_df_cubic
	%>% summarize_all(mean)
)
print(true_prop_df)

## Models
mod_cubic <- lm(hhsize ~ poly(age, degree=3, raw=TRUE)+wealthindex
	, data=sim_df_cubic
)
summary(mod_cubic)

saveEnvironment()