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inst/tinytest/test-exponentiate.R

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@@ -162,7 +162,7 @@ e2 <- get_estimates(gm1a, exponentiate = FALSE)
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expect_equal(e1$estimate[nrow(e1)], e2$estimate[nrow(e2)])
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expect_equal(e1$estimate[1:3], exp(e2$estimate[1:3]))
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mod <- lmer(Sepal.Length ~ (1 + Sepal.Width | Species), data = iris)
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mod <- suppressMessages(lmer(Sepal.Length ~ (1 + Sepal.Width | Species), data = iris))
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e1 <- get_estimates(mod, exponentiate = FALSE)
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e2 <- get_estimates(mod, exponentiate = TRUE)
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expect_equal(exp(e1$estimate[1]), e2$estimate[1])

inst/tinytest/test-supported.R

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@@ -20,7 +20,7 @@ if (isTRUE(requiet("margins"))) {
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requiet("MASS")
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# broom::tidy requires p.values=TRUE, but we now use easystats, so no need to error checking
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fit <- polr(Sat ~ Freq, weights = Freq, data = housing)
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tab <- modelsummary(fit, output = "dataframe", statistic = "p.value")
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tab <- modelsummary(fit, output = "dataframe", statistic = "p.value") |> suppressMessages()
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expect_inherits(tab, "data.frame")
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# survival

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