add upper bounds

Author: matthieugomez

Project.toml

@@ -4,28 +4,31 @@ version = "0.5.1"
 
 [deps]
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
-CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
-DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
+Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
+StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
+StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"
+Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 FixedEffects = "c8885935-8500-56a7-9867-7708b20db0eb"
 FixedEffectModels = "9d5cd8c9-2029-5cab-9928-427838db53e3"
 LeastSquaresOptim = "0fc2ff8b-aaa3-5acd-a817-1944a5e08891"
-LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
-StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
-StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"
-Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
-
 
 [compat]
-DataFrames = "≥ 0.19.1"
-FixedEffectModels = "≥ 0.9.2"
-FixedEffects = "≥ 0.3.0"
-LeastSquaresOptim = "≥ 0.7.0"
-StatsBase = "≥ 0.22.0"
-StatsModels = "≥ 0.6.0"
-julia = "≥ 1.1.0"
+julia = "1"
+Reexport = "0"
+Distributions = "0"
+FillArrays = "0"
+StatsBase = "0"
+StatsModels = "0.6"
+Tables = "0"
+DataFrames = "0.19"
+FixedEffects = "0.4"
+FixedEffectModels = "0.9"
+LeastSquaresOptim = "0.7"
 
 [extras]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"

src/InteractiveFixedEffectModels.jl

@@ -11,9 +11,10 @@ using LinearAlgebra
 using Statistics
 using Printf
 
+
 using StatsBase
 using StatsModels
-using CategoricalArrays
+using Tables
 using DataFrames
 using LeastSquaresOptim
 using FillArrays

src/fit.jl

@@ -130,7 +130,7 @@ function regife(df, f::FormulaTerm, vcov::CovarianceEstimator = Vcov.simple();
     ## Construict vector y and matrix X
     ##
     ##############################################################################
-    subdf = StatsModels.columntable(df[esample, unique(vcat(vars))])
+    subdf = columntable(df[esample, unique(vcat(vars))])
 
     formula_schema = apply_schema(formula, schema(formula, subdf, contrasts), StatisticalModel)