CRAN Package Check Results for Maintainer ‘Lane Drew <lanetdrew at gmail.com>’

Last updated on 2025-12-28 03:52:08 CET.

Package ERROR OK
ldmppr 9 4

Package ldmppr

Current CRAN status: ERROR: 9, OK: 4

Version: 1.0.4
Check: examples
Result: ERROR Running examples in ‘ldmppr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 Examples with CPU (user + system) or elapsed time > 5s user system elapsed extract_covars 7.094 0.187 9.021 Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.0.4
Check: examples
Result: ERROR Running examples in ‘ldmppr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0.4
Check: examples
Result: 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 Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

Version: 1.0.4
Check: examples
Result: ERROR Running examples in ‘ldmppr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 Examples with CPU (user + system) or elapsed time > 5s user system elapsed extract_covars 6.865 0.178 7.885 Flavor: r-patched-linux-x86_64

Version: 1.0.4
Check: examples
Result: ERROR Running examples in ‘ldmppr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 Examples with CPU (user + system) or elapsed time > 5s user system elapsed extract_covars 6.929 0.235 9.755 Flavor: r-release-linux-x86_64

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.