import/export fitted (#389)

JuliaStats · Dec 11, 2020 · 2775380 · 2775380
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commit 2775380
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diff --git a/src/GLM.jl b/src/GLM.jl
@@ -12,12 +12,12 @@ module GLM
     import Statistics: cor
     import StatsBase: coef, coeftable, confint, deviance, nulldeviance, dof, dof_residual,
                       loglikelihood, nullloglikelihood, nobs, stderror, vcov, residuals, predict,
-                      fit, model_response, response, modelmatrix, r2, r², adjr2, adjr², PValue
+                      fitted, fit, model_response, response, modelmatrix, r2, r², adjr2, adjr², PValue
     import StatsFuns: xlogy
     import SpecialFunctions: erfc, erfcinv, digamma, trigamma
     export coef, coeftable, confint, deviance, nulldeviance, dof, dof_residual,
            loglikelihood, nullloglikelihood, nobs, stderror, vcov, residuals, predict,
-           fit, fit!, model_response, response, modelmatrix, r2, r², adjr2, adjr²
+           fitted, fit, fit!, model_response, response, modelmatrix, r2, r², adjr2, adjr²
 
     export
         # types

diff --git a/test/runtests.jl b/test/runtests.jl
@@ -447,15 +447,15 @@ end
     @test isapprox(vcov(gmsparse), vcov(gmdense))
 end
 
-
 @testset "Predict" begin
     Random.seed!(1)
     X = rand(10, 2)
     Y = logistic.(X * [3; -3])
 
     gm11 = fit(GeneralizedLinearModel, X, Y, Binomial())
     @test isapprox(predict(gm11), Y)
-
+    @test predict(gm11) == fitted(gm11)
+
     newX = rand(5, 2)
     newY = logistic.(newX * coef(gm11))
     @test isapprox(predict(gm11, newX), newY)