Specifying exogeneity and bilinear effects in data driven model searches

. Author manuscript; available in PMC: 2022 Jun 1.

Published in final edited form as: Behav Res Methods. 2021 Jun;53(3):1276–1288. doi: 10.3758/s13428-020-01469-2

### Example 1 code where there are two exogenous variables (time and temperature) myresults <- gimme(data = mydata,
   out = “filename”,
   sep = “,”,
   header = TRUE,
   ar = TRUE,
   plot = TRUE,
   subgroup = TRUE
   exogenous = c(“temperature”, “time”))

### Example 2 code where there is one exogenous variables (treatment status) myresults <- gimme(data = mydata,
   out = “filename”,
   sep = “,”,
   header = TRUE,
   ar = TRUE,
   plot = TRUE,
   subgroup = TRUE
   exogenous = c(“active”))

### Example 3 code where there are two exogenous variables (treatment status), one of which is bilinear (treatment status*positive affect) myresults <- gimme(data = mydata,
   out = “filename”,
   sep = “,”,
   header = TRUE,
   ar = TRUE,
   plot = TRUE,
   subgroup = TRUE
   exogenous = c(“active”),
   mult_vars = c(“active*pa”))