From 90942e291950c02f30a8b0454e8e575822e93c9d Mon Sep 17 00:00:00 2001 From: Daniel Date: Tue, 7 May 2024 13:59:51 +0200 Subject: [PATCH] Update model --- DESCRIPTION | 2 +- NEWS.md | 3 +++ R/check_distribution.R | 27 ++++++++++++++++---- R/sysdata.rda | Bin 772645 -> 784064 bytes WIP/generate_distribution.R | 22 +++++++++------- tests/testthat/_snaps/check_distribution.md | 13 +++++----- tests/testthat/test-check_distribution.R | 6 ++--- 7 files changed, 48 insertions(+), 25 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index b772da790..6eb5aff86 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: performance Title: Assessment of Regression Models Performance -Version: 0.11.0.7 +Version: 0.11.0.8 Authors@R: c(person(given = "Daniel", family = "Lüdecke", diff --git a/NEWS.md b/NEWS.md index c94980743..3fc0d30df 100644 --- a/NEWS.md +++ b/NEWS.md @@ -15,6 +15,9 @@ the usual style as for other models and no longer returns plots from `bayesplot::pp_check()`. +* Updated the trained model that is used to prediction distributions in + `check_distribution()`. + ## Bug fixes * `check_model()` now falls back on normal Q-Q plots when a model is not supported diff --git a/R/check_distribution.R b/R/check_distribution.R index 86a6f6b50..28bb4069e 100644 --- a/R/check_distribution.R +++ b/R/check_distribution.R @@ -192,23 +192,40 @@ check_distribution.numeric <- function(model) { # validation check, remove missings x <- x[!is.na(x)] - # this might fail, so we wrap in ".safe()" - map_est <- .safe(mean(x) - as.numeric(bayestestR::map_estimate(x, bw = "nrd0"))) + mode <- NULL + # find mode for integer, or MAP for distributions + if (all(.is_integer(x))) { + mode <- datawizard::distribution_mode(x) + } else { + # this might fail, so we wrap in ".safe()" + mode <- tryCatch( + as.numeric(bayestestR::map_estimate(x, bw = "nrd0")), + error = function(e) NULL + ) + if (is.null(mode)) { + mode <- tryCatch( + as.numeric(bayestestR::map_estimate(x, bw = "kernel")), + error = function(e) NULL + ) + } + } - if (is.null(map_est)) { - map_est <- mean(x) - datawizard::distribution_mode(x) + if (is.null(mode)) { + mean_mode_diff <- mean(x) - datawizard::distribution_mode(x) msg <- "Could not accurately estimate the mode." if (!is.null(type)) { msg <- paste(msg, "Predicted distribution of the", type, "may be less accurate.") } insight::format_alert(msg) + } else { + mean_mode_diff <- .safe(mean(x) - mode) } data.frame( SD = stats::sd(x), MAD = stats::mad(x, constant = 1), Mean_Median_Distance = mean(x) - stats::median(x), - Mean_Mode_Distance = map_est, + Mean_Mode_Distance = mean_mode_diff, SD_MAD_Distance = stats::sd(x) - stats::mad(x, constant = 1), Var_Mean_Distance = stats::var(x) - mean(x), Range_SD = diff(range(x)) / stats::sd(x), diff --git a/R/sysdata.rda b/R/sysdata.rda index 589181babb79af4e326871f9a16dbc9c1c208309..cff603cc1119d48ddae6c504a2017e78a269d73e 100644 GIT binary patch literal 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05688d37d..b42e2d70d 100644 --- a/WIP/generate_distribution.R +++ b/WIP/generate_distribution.R @@ -134,18 +134,22 @@ for (di in seq_along(distrs)) { # x_scaled <- parameters::normalize(x, verbose = FALSE) if (length(x) >= 10) { - mode <- tryCatch( - bayestestR::map_estimate(x, bw = "nrd0"), - error = function(e) NULL - ) - if (is.null(mode)) { + if (all(.is.integer(x))) { + mode <- datawizard::distribution_mode(x) + } else { mode <- tryCatch( - bayestestR::map_estimate(x, bw = "kernel"), + as.numeric(bayestestR::map_estimate(x, bw = "nrd0")), error = function(e) NULL ) - } - if (is.null(mode)) { - mode <- datawizard::distribution_mode(x) + if (is.null(mode)) { + mode <- tryCatch( + as.numeric(bayestestR::map_estimate(x, bw = "kernel")), + error = function(e) NULL + ) + } + if (is.null(mode)) { + mode <- datawizard::distribution_mode(x) + } } # Extract features data <- data.frame( diff --git a/tests/testthat/_snaps/check_distribution.md b/tests/testthat/_snaps/check_distribution.md index 87d79a66c..38a2fdca7 100644 --- a/tests/testthat/_snaps/check_distribution.md +++ b/tests/testthat/_snaps/check_distribution.md @@ -7,15 +7,14 @@ Predicted Distribution of Residuals - Distribution Probability - cauchy 94% - gamma 3% - lognormal 3% + Distribution Probability + cauchy 91% + gamma 6% + neg. binomial (zero-infl.) 3% Predicted Distribution of Response Distribution Probability - lognormal 53% - gamma 44% - exponential 3% + lognormal 66% + gamma 34% diff --git a/tests/testthat/test-check_distribution.R b/tests/testthat/test-check_distribution.R index d6036a3b9..8a8c6fc3b 100644 --- a/tests/testthat/test-check_distribution.R +++ b/tests/testthat/test-check_distribution.R @@ -18,7 +18,7 @@ test_that("check_distribution", { expect_equal( out$p_Residuals, c( - 0, 0, 0, 0, 0.9375, 0, 0, 0, 0.03125, 0, 0, 0.03125, 0, 0, + 0, 0, 0, 0, 0.90625, 0, 0, 0, 0.0625, 0, 0, 0.03125, 0, 0, 0, 0, 0, 0, 0, 0, 0 ), tolerance = 1e-4 @@ -26,8 +26,8 @@ test_that("check_distribution", { expect_equal( out$p_Response, c( - 0, 0, 0, 0, 0, 0, 0.03125, 0, 0.4375, 0, 0, 0.53125, 0, 0, - 0, 0, 0, 0, 0, 0, 0 + 0, 0, 0, 0, 0, 0, 0, 0, 0.34375, 0, 0, 0.65625, 0, 0, 0, 0, + 0, 0, 0, 0, 0 ), tolerance = 1e-4 )

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