update to FixedEffectModels 1.5 (#42)

* update to FixedEffectModels 1.5

* Update fit.jl

* Update Project.toml

Author: matthieugomez

.gitignore

@@ -9,4 +9,5 @@ src/other/*
 *.log
 *.out
 *.synctex.gz
-examples/runbenchmark.jl
+examples/runbenchmark.jl
+.DS_Store

Project.toml

@@ -1,6 +1,6 @@
 name = "InteractiveFixedEffectModels"
 uuid = "80307280-efb2-5c5d-af8b-a9c15821677b"
-version = "1.1.1"
+version = "1.1.2"
 
 [deps]
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
@@ -20,11 +20,11 @@ Vcov = "ec2bfdc2-55df-4fc9-b9ae-4958c2cf2486"
 
 [compat]
 DataFrames = "0.21, 0.22"
-FillArrays = "0.7, 0.8, 0.9, 0.10"
-FixedEffectModels = "1.3"
+FillArrays = "0.7, 0.8, 0.9, 0.10, 0.11"
+FixedEffectModels = "1.5"
 FixedEffects = "2"
 LeastSquaresOptim = "0.7, 0.8"
-Reexport = "0.2"
+Reexport = "0.2, 1.0"
 StatsBase = "0.33"
 StatsModels = "0.6"
 StatsFuns = "0.9"

src/fit.jl

@@ -65,7 +65,7 @@ function regife(
            Symbol(fesymbol(a)) ∉ factor_vars && error("FixedEffect should correspond to id or time dimension of the factor model")
        end
     end
-    fes, ids, formula = FixedEffectModels.parse_fixedeffect(df, formula)
+    fes, ids, fekeys, formula = FixedEffectModels.parse_fixedeffect(df, formula)
     has_fes = !isempty(fes)
     has_fes_intercept = false
     ## Compute factors, an array of AbtractFixedEffects