Documenter #1298
Annotations
10 errors
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PSIS/fU76x/src/core.jl#L212
doctest failure in ~/.julia/packages/PSIS/fU76x/src/core.jl:212-233
```jldoctest psis; setup = :(using Random; Random.seed!(42))
julia> using Distributions
julia> proposal, target = Normal(), TDist(7);
julia> x = rand(proposal, 1_000, 1, 30); # (ndraws, nchains, nparams)
julia> log_ratios = @. logpdf(target, x) - logpdf(proposal, x);
julia> result = psis(log_ratios)
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
```
Subexpression:
result = psis(log_ratios)
Evaluated output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
Expected output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
diff =
Warning: Diff output requires color.
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PSIS/fU76x/src/core.jl#L238
doctest failure in ~/.julia/packages/PSIS/fU76x/src/core.jl:238-255
```jldoctest psis
julia> using MCMCDiagnosticTools
julia> reff = ess(log_ratios; kind=:basic, split_chains=1, relative=true);
julia> result = psis(log_ratios, reff)
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
```
Subexpression:
result = psis(log_ratios, reff)
Evaluated output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
Expected output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
diff =
Warning: Diff output requires color.
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PSIS/fU76x/src/core.jl#L212
doctest failure in ~/.julia/packages/PSIS/fU76x/src/core.jl:212-233
```jldoctest psis; setup = :(using Random; Random.seed!(42))
julia> using Distributions
julia> proposal, target = Normal(), TDist(7);
julia> x = rand(proposal, 1_000, 1, 30); # (ndraws, nchains, nparams)
julia> log_ratios = @. logpdf(target, x) - logpdf(proposal, x);
julia> result = psis(log_ratios)
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
```
Subexpression:
result = psis(log_ratios)
Evaluated output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
Expected output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
diff =
Warning: Diff output requires color.
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 7 (23.3%) 959
(0.5, 0.7] okay 13 (43.3%) 938
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PSIS/fU76x/src/core.jl#L238
doctest failure in ~/.julia/packages/PSIS/fU76x/src/core.jl:238-255
```jldoctest psis
julia> using MCMCDiagnosticTools
julia> reff = ess(log_ratios; kind=:basic, split_chains=1, relative=true);
julia> result = psis(log_ratios, reff)
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
```
Subexpression:
result = psis(log_ratios, reff)
Evaluated output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
Expected output:
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
diff =
Warning: Diff output requires color.
┌ Warning: 9 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:373
┌ Warning: 1 parameters had Pareto shape values k > 1. Corresponding importance sampling estimates are likely to be unstable and are unlikely to converge with additional samples.
└ @ PSIS ~/.julia/packages/PSIS/...
~/.julia/packages/PSIS/fU76x/src/core.jl:376
PSISResult with 1000 draws, 1 chains, and 30 parameters
Pareto shape (k) diagnostic values:
Count Min. ESS
(-Inf, 0.5] good 9 (30.0%) 806
(0.5, 0.7] okay 11 (36.7%) 842
(0.7, 1] bad 9 (30.0%) ——
(1, Inf) very bad 1 (3.3%) ——
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PosteriorStats/cl4WO/src/summarize.jl#L189
doctest failure in ~/.julia/packages/PosteriorStats/cl4WO/src/summarize.jl:189-200
```jldoctest summarize; setup = (using Random; Random.seed!(84))
julia> using Statistics, StatsBase
julia> x = randn(1000, 4, 3) .+ reshape(0:10:20, 1, 1, :);
julia> summarize(x, mean, std, :mcse_mean => sem; name="Mean/Std")
Mean/Std
mean std mcse_mean
1 0.0003 0.990 0.016
2 10.02 0.988 0.016
3 19.98 0.988 0.016
```
Subexpression:
summarize(x, mean, std, :mcse_mean => sem; name="Mean/Std")
Evaluated output:
Mean/Std
mean std mcse_mean
1 0.0003 0.989 0.016
2 10.02 0.988 0.016
3 19.98 0.988 0.016
Expected output:
Mean/Std
mean std mcse_mean
1 0.0003 0.990 0.016
2 10.02 0.988 0.016
3 19.98 0.988 0.016
diff =
Warning: Diff output requires color.
Mean/Std
mean std mcse_mean
1 0.0003 0.990 0.989 0.016
2 10.02 0.988 0.016
3 19.98 0.988 0.016
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PosteriorStats/cl4WO/src/summarize.jl#L203
doctest failure in ~/.julia/packages/PosteriorStats/cl4WO/src/summarize.jl:203-210
```jldoctest summarize
julia> summarize(x, (:mean, :std) => mean_and_std, mad; var_names=[:a, :b, :c])
SummaryStats
mean std mad
a 0.000305 0.990 0.978
b 10.0 0.988 0.995
c 20.0 0.988 0.979
```
Subexpression:
summarize(x, (:mean, :std) => mean_and_std, mad; var_names=[:a, :b, :c])
Evaluated output:
SummaryStats
mean std mad
a 0.000275 0.989 0.978
b 10.0 0.988 0.995
c 20.0 0.988 0.979
Expected output:
SummaryStats
mean std mad
a 0.000305 0.990 0.978
b 10.0 0.988 0.995
c 20.0 0.988 0.979
diff =
Warning: Diff output requires color.
SummaryStats
mean std mad
a 0.000305 0.990 0.000275 0.989 0.978
b 10.0 0.988 0.995
c 20.0 0.988 0.979
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PosteriorStats/cl4WO/src/summarize.jl#L228
doctest failure in ~/.julia/packages/PosteriorStats/cl4WO/src/summarize.jl:228-235
```jldoctest summarize
julia> summarize(x, default_stats(; prob_interval=0.89)...; var_names=[:a, :b, :c])
SummaryStats
mean std hdi_5.5% hdi_94.5%
a 0.000305 0.990 -1.63 1.52
b 10.0 0.988 8.53 11.6
c 20.0 0.988 18.5 21.6
```
Subexpression:
summarize(x, default_stats(; prob_interval=0.89)...; var_names=[:a, :b, :c])
Evaluated output:
SummaryStats
mean std hdi_5.5% hdi_94.5%
a 0.000275 0.989 -1.63 1.52
b 10.0 0.988 8.53 11.6
c 20.0 0.988 18.5 21.6
Expected output:
SummaryStats
mean std hdi_5.5% hdi_94.5%
a 0.000305 0.990 -1.63 1.52
b 10.0 0.988 8.53 11.6
c 20.0 0.988 18.5 21.6
diff =
Warning: Diff output requires color.
SummaryStats
mean std hdi_5.5% hdi_94.5%
a 0.000305 0.990 0.000275 0.989 -1.63 1.52
b 10.0 0.988 8.53 11.6
c 20.0 0.988 18.5 21.6
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/PosteriorStats/cl4WO/src/model_weights.jl#L61
doctest failure in ~/.julia/packages/PosteriorStats/cl4WO/src/model_weights.jl:61-66
```jldoctest model_weights; setup = :(using Random; Random.seed!(94))
julia> model_weights(elpd_results; method=BootstrappedPseudoBMA()) |> pairs
pairs(::NamedTuple) with 2 entries:
:centered => 0.483723
:non_centered => 0.516277
```
Subexpression:
model_weights(elpd_results; method=BootstrappedPseudoBMA()) |> pairs
Evaluated output:
pairs(::NamedTuple) with 2 entries:
:centered => 0.483727
:non_centered => 0.516273
Expected output:
pairs(::NamedTuple) with 2 entries:
:centered => 0.483723
:non_centered => 0.516277
diff =
Warning: Diff output requires color.
pairs(::NamedTuple) with 2 entries:
:centered => 0.483723
0.483727
:non_centered => 0.5162770.516273
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/InferenceObjects/AdCId/ext/InferenceObjectsPosteriorStatsExt/loo_pit.jl#L21
doctest failure in ~/.julia/packages/InferenceObjects/AdCId/ext/InferenceObjectsPosteriorStatsExt/loo_pit.jl:21-42
```jldoctest
julia> using ArviZExampleData, PosteriorStats
julia> idata = load_example_data("centered_eight");
julia> loo_result = loo(idata; var_name=:obs);
julia> loo_pit(idata, loo_result.psis_result.log_weights; y_name=:obs)
╭────────────────────────────────────────────╮
│ 8-element DimArray{Float64, 1} loo_pit_obs │
├────────────────────────────────────────────┴─────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
```
Subexpression:
loo_pit(idata, loo_result.psis_result.log_weights; y_name=:obs)
Evaluated output:
╭───────────────────────────────────────────╮
│ 8-element DimArray{Float64,1} loo_pit_obs │
├───────────────────────────────────────────┴──────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
Expected output:
╭────────────────────────────────────────────╮
│ 8-element DimArray{Float64, 1} loo_pit_obs │
├────────────────────────────────────────────┴─────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
diff =
Warning: Diff output requires color.
╭────────────────────────────────────────────╮
╭───────────────────────────────────────────╮
│ 8-element DimArray{Float64, 1} DimArray{Float64,1} loo_pit_obs │
├────────────────────────────────────────────┴─────────────────────────── ├───────────────────────────────────────────┴──────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
|
|
Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/InferenceObjects/AdCId/ext/InferenceObjectsPosteriorStatsExt/loo_pit.jl#L83
doctest failure in ~/.julia/packages/InferenceObjects/AdCId/ext/InferenceObjectsPosteriorStatsExt/loo_pit.jl:83-102
```jldoctest
julia> using ArviZExampleData, PosteriorStats
julia> idata = load_example_data("centered_eight");
julia> loo_pit(idata; y_name=:obs)
╭────────────────────────────────────────────╮
│ 8-element DimArray{Float64, 1} loo_pit_obs │
├────────────────────────────────────────────┴─────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
```
Subexpression:
loo_pit(idata; y_name=:obs)
Evaluated output:
╭───────────────────────────────────────────╮
│ 8-element DimArray{Float64,1} loo_pit_obs │
├───────────────────────────────────────────┴──────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
Expected output:
╭────────────────────────────────────────────╮
│ 8-element DimArray{Float64, 1} loo_pit_obs │
├────────────────────────────────────────────┴─────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
diff =
Warning: Diff output requires color.
╭────────────────────────────────────────────╮
╭───────────────────────────────────────────╮
│ 8-element DimArray{Float64, 1} DimArray{Float64,1} loo_pit_obs │
├────────────────────────────────────────────┴─────────────────────────── ├───────────────────────────────────────────┴──────────────────────────── dims ┐
↓ school Categorical{String} [Choate, Deerfield, …, St. Paul's, Mt. Hermon] Unordered
└──────────────────────────────────────────────────────────────────────────────┘
"Choate" 0.943511
"Deerfield" 0.63797
"Phillips Andover" 0.316697
"Phillips Exeter" 0.582252
"Hotchkiss" 0.295321
"Lawrenceville" 0.403318
"St. Paul's" 0.902508
"Mt. Hermon" 0.655275
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