use MixedModelsDatasets

Project.toml

@@ -10,9 +10,9 @@ DataAPI = "9a962f9c-6df0-11e9-0e5d-c546b8b5ee8a"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
 JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
-LazyArtifacts = "4af54fe1-eca0-43a8-85a7-787d91b784e3"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
+MixedModelsDatasets = "7e9fb7ac-9f67-43bf-b2c8-96ba0796cbb6"
 NLopt = "76087f3c-5699-56af-9a33-bf431cd00edd"
 PooledArrays = "2dfb63ee-cc39-5dd5-95bd-886bf059d720"
 PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
@@ -36,7 +36,7 @@ DataAPI = "1"
 Distributions = "0.21, 0.22, 0.23, 0.24, 0.25"
 GLM = "1.8.2"
 JSON3 = "1"
-LazyArtifacts = "1"
+MixedModelsDatasets = "0.1"
 NLopt = "0.6, 1"
 PooledArrays = "0.5, 1"
 PrecompileTools = "1"

src/MixedModels.jl

@@ -6,7 +6,6 @@ using DataAPI
 using Distributions
 using GLM
 using JSON3
-using LazyArtifacts
 using LinearAlgebra
 using Markdown
 using NLopt
@@ -27,6 +26,7 @@ using LinearAlgebra: BlasFloat, BlasReal, HermOrSym, PosDefException, copytri!
 using Base: Ryu, require_one_based_indexing
 using DataAPI: levels, refpool, refarray, refvalue
 using GLM: Link, canonicallink, linkfun, linkinv, dispersion, dispersion_parameter
+using MixedModelsDatasets: dataset, datasets
 using NLopt: Opt
 using StatsModels: TableRegressionModel
 using StatsFuns: log2π, normccdf
@@ -164,7 +164,6 @@ abstract type MixedModel{T} <: StatsModels.RegressionModel end # model with fixe
 include("utilities.jl")
 include("blocks.jl")
 include("pca.jl")
-include("datasets.jl")
 include("arraytypes.jl")
 include("varcorr.jl")
 include("Xymat.jl")