Hi guys,
I need to implement a regression like
Y ~ A : B : C
or
Y ~ A : B_C
where main effects are missing, in interactions A
 numeric variable, B
and C
 categorical variables (factors)) or in the second case  variable B_C
 new categorical variable which is a combination of B and C. Intercept must be present.
Can someone help me, please, implement these formulas using following packages:

FixedEffectModels.jl
, 
InteractiveFixedEffectModels.jl
, 
GLFixedEffectModels.jl
?
Iβve tried different syntax and options, but I keep getting different errors, for example
ERROR: MethodError: no method matching getindex (:: DataFrame, :: Expr)
for FixedEffectModels.jl
package.
Thank you so much!!