* using log directory 'd:/Rcompile/CRANpkg/local/4.4/ldmppr.Rcheck' * using R version 4.4.3 (2025-02-28 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 13.3.0 GNU Fortran (GCC) 13.3.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * checking for file 'ldmppr/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'ldmppr' version '1.0.4' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'ldmppr' can be installed ... OK * used C++ compiler: 'g++.exe (GCC) 13.3.0' * checking C++ specification ... OK Not all R platforms support C++17 * checking installed package size ... OK * checking package directory ... 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[22s] ERROR Running examples in 'ldmppr-Ex.R' failed The error most likely occurred in: > ### Name: predict_marks > ### Title: Predict values from the mark distribution > ### Aliases: predict_marks > > ### ** Examples > > # Simulate a realization > generating_parameters <- c(2, 8, .02, 2.5, 3, 1, 2.5, .2) > M_n <- matrix(c(10, 14), ncol = 1) > generated_locs <- simulate_sc( + t_min = 0, + t_max = 1, + sc_params = generating_parameters, + anchor_point = M_n, + xy_bounds = c(0, 25, 0, 25) + ) > > # Load the raster files > raster_paths <- list.files(system.file("extdata", package = "ldmppr"), + pattern = "\\.tif$", full.names = TRUE + ) > rasters <- lapply(raster_paths, terra::rast) > > # Scale the rasters > scaled_raster_list <- scale_rasters(rasters) > > # Load the example mark model > file_path <- system.file("extdata", "example_mark_model.rds", package = "ldmppr") > example_mark_model <- readRDS(file_path) > > # Unbundle the model > mark_model <- bundle::unbundle(example_mark_model) Error in xgboost::xgb.load.raw(object, as_booster = TRUE) : unused argument (as_booster = TRUE) Calls: ... -> unbundle -> unbundle.bundle -> Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [155s] ERROR Error(s) in re-building vignettes: --- re-building 'ldmppr_howto.Rmd' using rmarkdown Quitting from ldmppr_howto.Rmd:100-130 [train_mark_model] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error in `xgboost::xgb.load.raw()`: ! unused argument (as_booster = TRUE) --- Backtrace: ▆ 1. ├─bundle::unbundle(example_mark_model$bundled_model) 2. └─bundle:::unbundle.bundle(example_mark_model$bundled_model) 3. └─x$situate(get_object(x)) 4. └─bundle::swap_element(object, "fit") 5. ├─bundle::unbundle(component) 6. └─bundle:::unbundle.bundle(component) 7. └─x$situate(get_object(x)) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'ldmppr_howto.Rmd' failed with diagnostics: unused argument (as_booster = TRUE) --- failed re-building 'ldmppr_howto.Rmd' SUMMARY: processing the following file failed: 'ldmppr_howto.Rmd' Error: Vignette re-building failed. Execution halted * checking PDF version of manual ... [19s] OK * checking HTML version of manual ... [6s] OK * DONE Status: 2 ERRORs