• 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 See the install log for details.
• 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
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• checking DESCRIPTION meta-information ... OK
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• checking for unstated dependencies in examples ... OK
• checking contents of 'data' directory ... OK
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• checking installed files from 'inst/doc' ... OK
• checking files in 'vignettes' ... OK
• checking examples ... [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$", full.names = TRUE + ) > rasters <- lapply(raster_paths, terra::rast) > > # Scale the rasters > scaled_raster_list <- scale_rasters(rasters) > > # Load the example mark model > file_path <- system.file("extdata", "example_mark_model.rds", package = "ldmppr") > example_mark_model <- readRDS(file_path) > > # Unbundle the model > mark_model <- bundle::unbundle(example_mark_model) Error in xgboost::xgb.load.raw(object, as_booster = TRUE) :   unused argument (as_booster = TRUE) Calls: <Anonymous> ... <Anonymous> -> unbundle -> unbundle.bundle -> <Anonymous> Execution halted
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes ... OK
• checking re-building of vignette outputs ... [155s] ERROR Error(s) in re-building vignettes: --- re-building 'ldmppr_howto.Rmd' using rmarkdown Quitting from ldmppr_howto.Rmd:100-130 [train_mark_model] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `xgboost::xgb.load.raw()`: ! unused argument (as_booster = TRUE) --- Backtrace:     ▆  1. ├─bundle::unbundle(example_mark_model$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