NEWS

weird 3.1.0.9000

New data sets us_mortality (US weekly deaths and death rates, 2015--2025) and fashion (Fashion-MNIST sneakers with planted images of other classes).
New fetch_pets2006() function to download frames from the PETS2006 video.
New fetch_oz_books() function to download the text of 29 Oz books by L. Frank Baum and Ruth Plumly Thompson.
New data set road_deaths, giving every road crash death in Australia from 1989 to 2025.
New data sets us_senate_edges and us_senate_members, giving the US Senate co-voting networks from the 40th to the 113th Congress, with the name, state, party and ICPSR identifier of each senator.
kde_bandwidth(method = "lookout") no longer crashes R when the data contain points that differ only by floating-point error (e.g. PCA scores of identical observations); mlpack::emst() could overflow the C stack on such near-duplicates.
lof_scores() and glosh_scores() now use k nearest neighbours excluding the observation itself. Previously the observation itself was also included.
lof_scores() no longer replaces infinite values by 1.

dist_kde() HDR calculations now always use the density at the data points (previously this required at least 200 observations), following hdrcde.
dist_density() removed in favour of distributional::dist_density().
gg_density() now labels the axis with the variable name when plotting a dist_kde object, if available.
hdr_regions() added, showing which highest density region each observation falls in, for one or more coverage probabilities, from a univariate or bivariate dist_kde object.
kde_bandwidth() gains method = "scv", a smoothed cross-validation bandwidth estimator using ks::hscv()/ks::Hscv().
hampel_anomalies() gains alpha and approximation arguments, allowing anomalies to be declared using a significance level rather than a fixed number of standard deviations.

Moved the Old Faithful Geyser examples from the README into a new vignette, vignette("old-faithful").
augment() method added for rrcov Pca* objects, returning the principal component scores, score distances and orthogonal distances, optionally alongside the original data.
dist_mclust() added to convert a Gaussian mixture model (Mclust object) to a distributional object.
density_df() added, converting a distributional object to a data frame containing density values over a grid, suitable for plotting.
biplot_projection() added, drawing a two-dimensional projection of scores with the original variable axes overlaid as arrows.
outlier_map() added, drawing the score distance against the orthogonal distance for a prcomp or rrcov Pca* object, with optional cutoff thresholds classifying observations as regular, good leverage points, orthogonal outliers or bad leverage points.
Added fetch_air_quality() to download Beijing air quality data from 12 monitoring stations (2013-2017).
Added gun_deaths dataset containing firearm homicide rates and gun ownership by country for 2017.
wine_reviews columns have been reordered.
gg_density_layer() removed,
lof_scores() now returns 1 (instead of 0) when there are too many duplicates.
mvscale() now better handles missing and infinite values, and returns centering and scaling terms as attributes.
dist_kde() is now robust to missing values.
Removed several dependencies
Bug fixes and documentation improvements

Added surprisals() and surprisals_prob() for glm objects
Faster calculation of surprisals_prob() for lm and gam objects
More accurate rank-based surprisal calculation when ties and missings present
More accurate HDR calculations
Added covariance calculation for multivariate dist_kde objects
Added distributional::hdr() and distributional::parameters() methods for dist_kde objects
Faster calculation for kde_bandwidth() with method = "lookout", now using mlpack for merge distances
mvscale() re-added to weird
Dropped lookout package dependency
Added lots of unit tests
Better docs
Bug fixes