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Allow compatible upgrades and fix tests #5

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b571041
Allow compatible upgrades
AshlinHarris Sep 14, 2023
a779062
Rewrite tests for nonboolean output
AshlinHarris Sep 14, 2023
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12 changes: 6 additions & 6 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -11,12 +11,12 @@ GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
HypothesisTests = "09f84164-cd44-5f33-b23f-e6b0d136a0d5"

[compat]
julia = "1.9.0"
DataFrames = "1.5.0"
GLM = "1.8.3"
HypothesisTests = "0.11.0"
Distributions = "0.25.97"
CairoMakie = "0.10.5"
julia = "^1.9.0"
DataFrames = "^1.5.0"
GLM = "^1.8.3"
HypothesisTests = "^0.11.0"
Distributions = "^0.25.97"
CairoMakie = "^0.10.5"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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21 changes: 17 additions & 4 deletions test/runtests.jl
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@@ -1,3 +1,4 @@
using DataFrames
using MetaAnalysis
using Test

Expand Down Expand Up @@ -44,21 +45,30 @@ df2 = select(df, :study, :y, :v)


# test fixed effects model
@test MetaAnalysis.fixedEffects(df.y, df.v)
@testset begin
MetaAnalysis.fixedEffects(df.y, df.v)
@test true
end

# Now write the random effects model



# test tausq works
@test MetaAnalysis.tauSquare(df.y, df.v)
@testset begin
MetaAnalysis.tausq(df.y, df.v)
@test true
end

# Now write the random effects model function



# test for random effects
@test MetaAnalysis.randEffects(df.y, df.v)
@testset begin
MetaAnalysis.randEffects(df.y, df.v)
@test true
end

# fixed effects weights
df.wf = 1 ./ df.v
Expand All @@ -81,5 +91,8 @@ select(df, :study, :y, :wf, :relwf, :relwr)



@test MetaAnalysis.isq(df.study, df.y, df.v)
@testset begin
MetaAnalysis.isq(df.study, df.y, df.v)
@test true
end
end