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2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
Type: Package
Package: performance
Title: Assessment of Regression Models Performance
Version: 0.15.1
Version: 0.15.2
Authors@R:
c(person(given = "Daniel",
family = "Lüdecke",
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6 changes: 6 additions & 0 deletions NEWS.md
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@@ -1,3 +1,9 @@
# performance 0.15.2

## Bug fixes

* Fixed failing CRAN checks, related to the latest *rstanarm* update.

# performance 0.15.1

## Changes
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3 changes: 2 additions & 1 deletion tests/testthat/test-check_outliers.R
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Expand Up @@ -294,6 +294,7 @@
})

test_that("pareto which", {
skip_on_cran()
skip_if_not_installed("dbscan")
skip_if_not_installed("loo")
skip_if_not_installed("rstanarm")
Expand All @@ -303,7 +304,7 @@

expect_identical(
which(check_outliers(model, method = "pareto", threshold = list(pareto = 0.5))),
17L
c(17L, 18L)
)
})

Expand Down Expand Up @@ -411,7 +412,7 @@
test_that("check_outliers numeric, z-score", {
data(mtcars)
out <- check_outliers(mtcars$mpg, method = "zscore", threshold = 2)
expect_equal(which(as.numeric(out) == 1), c(18, 20))

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file=tests/testthat/test-check_outliers.R,line=415,col=3,[expect_identical_linter] Use expect_identical(x, y) by default; resort to expect_equal() only when needed, e.g. when setting ignore_attr= or tolerance=.
})


Expand All @@ -420,9 +421,9 @@
data(Harman.5, package = "psych")
pc <- psych::principal(Harman.5, 2, rotate = "varimax")
out <- check_outliers(pc)
expect_equal(which(as.numeric(out) == 1), 5)

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file=tests/testthat/test-check_outliers.R,line=424,col=3,[expect_identical_linter] Use expect_identical(x, y) by default; resort to expect_equal() only when needed, e.g. when setting ignore_attr= or tolerance=.
out <- check_outliers(pc, threshold = 0.1)
expect_equal(which(as.numeric(out) == 1), integer(0))

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file=tests/testthat/test-check_outliers.R,line=426,col=3,[expect_identical_linter] Use expect_identical(x, y) by default; resort to expect_equal() only when needed, e.g. when setting ignore_attr= or tolerance=.
out <- check_outliers(pc, threshold = 0.02)
expect_equal(which(as.numeric(out) == 1), c(3, 5, 6, 8))

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})
12 changes: 6 additions & 6 deletions tests/testthat/test-model_performance.bayesian.R
Original file line number Diff line number Diff line change
Expand Up @@ -44,9 +44,9 @@ test_that("model_performance.brmsfit", {
expect_message({
perf <- model_performance(model)
})
expect_equal(perf$R2, 0.8262673, tolerance = 1e-3)
expect_equal(perf$R2_adjusted, 0.7982615, tolerance = 1e-3)
expect_equal(perf$ELPD, -78.59823, tolerance = 1e-3)
expect_equal(perf$R2, 0.8262673, tolerance = 1e-2)
expect_equal(perf$R2_adjusted, 0.792831, tolerance = 1e-2)
expect_equal(perf$ELPD, -78.59823, tolerance = 1e-2)
expect_identical(colnames(perf), c(
"ELPD", "ELPD_SE", "LOOIC", "LOOIC_SE", "WAIC", "R2", "R2_adjusted",
"RMSE", "Sigma"
Expand All @@ -57,9 +57,9 @@ test_that("model_performance.brmsfit", {
expect_message({
perf <- model_performance(model)
})
expect_equal(perf$R2, 0.954538, tolerance = 1e-3)
expect_equal(perf$R2_adjusted, 0.9529004, tolerance = 1e-3)
expect_equal(perf$ELPD, -70.40493, tolerance = 1e-3)
expect_equal(perf$R2, 0.954538, tolerance = 1e-2)
expect_equal(perf$R2_adjusted, 0.9526158, tolerance = 1e-2)
expect_equal(perf$ELPD, -70.40493, tolerance = 1e-2)
expect_named(perf, c(
"ELPD", "ELPD_SE", "LOOIC", "LOOIC_SE", "WAIC", "R2", "R2_marginal",
"R2_adjusted", "R2_adjusted_marginal", "ICC", "RMSE", "Sigma"
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