Tue, 10 Feb 2026

Package xgboost updated to version 3.2.0.1 with previous version 3.1.3.1 dated 2026-01-12

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] , Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifen [...truncated...]
Maintainer: Jiaming Yuan <jm.yuan@outlook.com>

Diff between xgboost versions 3.1.3.1 dated 2026-01-12 and 3.2.0.1 dated 2026-02-10

 xgboost-3.1.3.1/xgboost/src/src/cli_main.cc                                  |only
 xgboost-3.1.3.1/xgboost/src/src/common/config.h                              |only
 xgboost-3.1.3.1/xgboost/src/src/common/cuda_stream_pool.cuh                  |only
 xgboost-3.1.3.1/xgboost/src/src/data/validation.cc                           |only
 xgboost-3.1.3.1/xgboost/src/src/data/validation.cu                           |only
 xgboost-3.1.3.1/xgboost/src/src/data/validation.h                            |only
 xgboost-3.1.3.1/xgboost/src/src/tree/gpu_hist/gradient_based_sampler.cu      |only
 xgboost-3.1.3.1/xgboost/src/src/tree/gpu_hist/gradient_based_sampler.cuh     |only
 xgboost-3.2.0.1/xgboost/DESCRIPTION                                          |    8 
 xgboost-3.2.0.1/xgboost/MD5                                                  |  486 -
 xgboost-3.2.0.1/xgboost/R/xgb.DMatrix.R                                      |    3 
 xgboost-3.2.0.1/xgboost/R/xgb.train.R                                        |   20 
 xgboost-3.2.0.1/xgboost/R/xgboost.R                                          |    2 
 xgboost-3.2.0.1/xgboost/build/vignette.rds                                   |binary
 xgboost-3.2.0.1/xgboost/configure                                            |   18 
 xgboost-3.2.0.1/xgboost/configure.ac                                         |    2 
 xgboost-3.2.0.1/xgboost/inst/doc/xgboost_introduction.R                      |    2 
 xgboost-3.2.0.1/xgboost/inst/doc/xgboost_introduction.Rmd                    |    2 
 xgboost-3.2.0.1/xgboost/inst/doc/xgboost_introduction.html                   |   12 
 xgboost-3.2.0.1/xgboost/inst/doc/xgboostfromJSON.html                        |  162 
 xgboost-3.2.0.1/xgboost/man/xgb.params.Rd                                    |   22 
 xgboost-3.2.0.1/xgboost/man/xgboost.Rd                                       |   19 
 xgboost-3.2.0.1/xgboost/src/Makevars.in                                      |    5 
 xgboost-3.2.0.1/xgboost/src/Makevars.win.in                                  |    5 
 xgboost-3.2.0.1/xgboost/src/config.h                                         |    4 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/any.h                     |  201 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/array_view.h              |   39 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/base.h                    |  200 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/blockingconcurrentqueue.h | 1865 +++----
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/build_config_default.h    |   20 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/common.h                  |   23 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/concurrency.h             |   82 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/concurrentqueue.h         | 2587 +++++-----
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/config.h                  |   45 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/data.h                    |  100 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/endian.h                  |    7 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/filesystem.h              |   40 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/input_split_shuffle.h     |   41 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/io.h                      |  130 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/json.h                    |  344 -
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/logging.h                 |  423 -
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/lua.h                     |  416 -
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/memory.h                  |   84 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/memory_io.h               |   29 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/omp.h                     |   55 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/optional.h                |  144 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/parameter.h               |  374 -
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/recordio.h                |   12 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/registry.h                |   88 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/serializer.h              |  242 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/strtonum.h                |  298 -
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/thread_group.h            |  187 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/thread_local.h            |   15 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/threadediter.h            |  112 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/timer.h                   |   18 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/include/dmlc/type_traits.h             |   50 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/config.cc                          |  116 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data.cc                            |  222 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/basic_row_iter.h              |   23 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/csv_parser.h                  |   81 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/disk_row_iter.h               |   66 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/libfm_parser.h                |   66 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/libsvm_parser.h               |   73 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/parquet_parser.h              |   66 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/parser.h                      |   44 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/row_block.h                   |   65 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/data/text_parser.h                 |   91 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io.cc                              |   73 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/azure_filesys.cc                |   38 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/azure_filesys.h                 |   11 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/cached_input_split.h            |  108 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/filesys.cc                      |   11 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/hdfs_filesys.cc                 |   49 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/hdfs_filesys.h                  |   10 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/indexed_recordio_split.cc       |  168 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/indexed_recordio_split.h        |   37 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/input_split_base.cc             |  125 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/input_split_base.h              |   44 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/line_split.cc                   |   41 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/line_split.h                    |   17 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/local_filesys.cc                |  106 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/local_filesys.h                 |    7 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/recordio_split.cc               |   42 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/recordio_split.h                |   20 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/s3_filesys.cc                   |  397 -
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/s3_filesys.h                    |   18 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/single_file_split.h             |   74 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/single_threaded_input_split.h   |   35 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/threaded_input_split.h          |   42 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/io/uri_spec.h                      |   17 
 xgboost-3.2.0.1/xgboost/src/dmlc-core/src/recordio.cc                        |   64 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/base.h                           |   50 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/byteswap.h                       |only
 xgboost-3.2.0.1/xgboost/src/include/xgboost/c_api.h                          | 1172 ++--
 xgboost-3.2.0.1/xgboost/src/include/xgboost/data.h                           |   98 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/gbm.h                            |    9 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/global_config.h                  |    4 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/gradient.h                       |only
 xgboost-3.2.0.1/xgboost/src/include/xgboost/json.h                           |    6 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/json_io.h                        |   33 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/learner.h                        |   46 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/linalg.h                         |   82 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/multi_target_tree_model.h        |  153 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/objective.h                      |    2 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/span.h                           |    8 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/tree_model.h                     |  397 -
 xgboost-3.2.0.1/xgboost/src/include/xgboost/tree_updater.h                   |   96 
 xgboost-3.2.0.1/xgboost/src/include/xgboost/version_config.h                 |    4 
 xgboost-3.2.0.1/xgboost/src/src/CMakeLists.txt                               |    2 
 xgboost-3.2.0.1/xgboost/src/src/c_api/c_api.cc                               |  640 +-
 xgboost-3.2.0.1/xgboost/src/src/c_api/c_api.cu                               |    9 
 xgboost-3.2.0.1/xgboost/src/src/c_api/c_api_utils.h                          |    2 
 xgboost-3.2.0.1/xgboost/src/src/c_api/coll_c_api.cc                          |   12 
 xgboost-3.2.0.1/xgboost/src/src/collective/coll.cu                           |   60 
 xgboost-3.2.0.1/xgboost/src/src/collective/coll.cuh                          |   16 
 xgboost-3.2.0.1/xgboost/src/src/collective/comm.cu                           |   54 
 xgboost-3.2.0.1/xgboost/src/src/collective/comm.cuh                          |   14 
 xgboost-3.2.0.1/xgboost/src/src/collective/tracker.cc                        |   30 
 xgboost-3.2.0.1/xgboost/src/src/common/algorithm.cuh                         |  133 
 xgboost-3.2.0.1/xgboost/src/src/common/algorithm.h                           |    1 
 xgboost-3.2.0.1/xgboost/src/src/common/cache_manager.cc                      |only
 xgboost-3.2.0.1/xgboost/src/src/common/cache_manager.h                       |only
 xgboost-3.2.0.1/xgboost/src/src/common/common.h                              |   35 
 xgboost-3.2.0.1/xgboost/src/src/common/compressed_iterator.h                 |  186 
 xgboost-3.2.0.1/xgboost/src/src/common/cuda_context.cuh                      |   23 
 xgboost-3.2.0.1/xgboost/src/src/common/cuda_dr_utils.cc                      |   10 
 xgboost-3.2.0.1/xgboost/src/src/common/cuda_rt_utils.cc                      |   63 
 xgboost-3.2.0.1/xgboost/src/src/common/cuda_rt_utils.h                       |   19 
 xgboost-3.2.0.1/xgboost/src/src/common/cuda_stream.h                         |only
 xgboost-3.2.0.1/xgboost/src/src/common/cuda_stream_pool.h                    |only
 xgboost-3.2.0.1/xgboost/src/src/common/device_compression.cu                 |   43 
 xgboost-3.2.0.1/xgboost/src/src/common/device_compression.cuh                |   11 
 xgboost-3.2.0.1/xgboost/src/src/common/device_debug.cuh                      |only
 xgboost-3.2.0.1/xgboost/src/src/common/device_helpers.cuh                    |  180 
 xgboost-3.2.0.1/xgboost/src/src/common/device_vector.cu                      |    7 
 xgboost-3.2.0.1/xgboost/src/src/common/device_vector.cuh                     |  299 -
 xgboost-3.2.0.1/xgboost/src/src/common/error_msg.h                           |   11 
 xgboost-3.2.0.1/xgboost/src/src/common/hist_util.cc                          |   16 
 xgboost-3.2.0.1/xgboost/src/src/common/hist_util.cu                          |   33 
 xgboost-3.2.0.1/xgboost/src/src/common/hist_util.h                           |    2 
 xgboost-3.2.0.1/xgboost/src/src/common/host_device_vector.cc                 |   11 
 xgboost-3.2.0.1/xgboost/src/src/common/host_device_vector.cu                 |   14 
 xgboost-3.2.0.1/xgboost/src/src/common/linalg_op.cu                          |    9 
 xgboost-3.2.0.1/xgboost/src/src/common/linalg_op.cuh                         |  102 
 xgboost-3.2.0.1/xgboost/src/src/common/linalg_op.h                           |  227 
 xgboost-3.2.0.1/xgboost/src/src/common/math.h                                |   26 
 xgboost-3.2.0.1/xgboost/src/src/common/numeric.h                             |   95 
 xgboost-3.2.0.1/xgboost/src/src/common/partition_builder.h                   |   22 
 xgboost-3.2.0.1/xgboost/src/src/common/quantile.cuh                          |    7 
 xgboost-3.2.0.1/xgboost/src/src/common/quantile.h                            |  266 -
 xgboost-3.2.0.1/xgboost/src/src/common/random.h                              |   58 
 xgboost-3.2.0.1/xgboost/src/src/common/ref_resource_view.cuh                 |    3 
 xgboost-3.2.0.1/xgboost/src/src/common/ref_resource_view.h                   |   20 
 xgboost-3.2.0.1/xgboost/src/src/common/resource.cu                           |    7 
 xgboost-3.2.0.1/xgboost/src/src/common/resource.cuh                          |    6 
 xgboost-3.2.0.1/xgboost/src/src/common/stats.cc                              |    7 
 xgboost-3.2.0.1/xgboost/src/src/common/stats.cuh                             |  192 
 xgboost-3.2.0.1/xgboost/src/src/common/stats.h                               |    2 
 xgboost-3.2.0.1/xgboost/src/src/common/threading_utils.h                     |   93 
 xgboost-3.2.0.1/xgboost/src/src/data/array_interface.cc                      |    6 
 xgboost-3.2.0.1/xgboost/src/src/data/array_interface.cu                      |   11 
 xgboost-3.2.0.1/xgboost/src/src/data/batch_utils.cc                          |   20 
 xgboost-3.2.0.1/xgboost/src/src/data/batch_utils.h                           |    8 
 xgboost-3.2.0.1/xgboost/src/src/data/cat_container.cuh                       |    4 
 xgboost-3.2.0.1/xgboost/src/src/data/cat_container.h                         |    3 
 xgboost-3.2.0.1/xgboost/src/src/data/data.cc                                 |  472 -
 xgboost-3.2.0.1/xgboost/src/src/data/data.cu                                 |  136 
 xgboost-3.2.0.1/xgboost/src/src/data/ellpack_page.cu                         |   78 
 xgboost-3.2.0.1/xgboost/src/src/data/ellpack_page.cuh                        |    9 
 xgboost-3.2.0.1/xgboost/src/src/data/ellpack_page_raw_format.cu              |   14 
 xgboost-3.2.0.1/xgboost/src/src/data/ellpack_page_source.cu                  |    7 
 xgboost-3.2.0.1/xgboost/src/src/data/ellpack_page_source.h                   |    9 
 xgboost-3.2.0.1/xgboost/src/src/data/gradient_index.cc                       |   40 
 xgboost-3.2.0.1/xgboost/src/src/data/gradient_index.cu                       |    2 
 xgboost-3.2.0.1/xgboost/src/src/data/gradient_index.h                        |   19 
 xgboost-3.2.0.1/xgboost/src/src/data/gradient_index_page_source.cc           |    6 
 xgboost-3.2.0.1/xgboost/src/src/data/gradient_index_page_source.h            |    4 
 xgboost-3.2.0.1/xgboost/src/src/data/iterative_dmatrix.cc                    |    6 
 xgboost-3.2.0.1/xgboost/src/src/data/iterative_dmatrix.cu                    |   11 
 xgboost-3.2.0.1/xgboost/src/src/data/iterative_dmatrix.h                     |    4 
 xgboost-3.2.0.1/xgboost/src/src/data/metainfo.cc                             |only
 xgboost-3.2.0.1/xgboost/src/src/data/metainfo.cu                             |only
 xgboost-3.2.0.1/xgboost/src/src/data/metainfo.h                              |only
 xgboost-3.2.0.1/xgboost/src/src/data/sparse_page_dmatrix.cc                  |    7 
 xgboost-3.2.0.1/xgboost/src/src/encoder/ordinal.cuh                          |   17 
 xgboost-3.2.0.1/xgboost/src/src/encoder/ordinal.h                            |    2 
 xgboost-3.2.0.1/xgboost/src/src/gbm/gblinear.cc                              |    9 
 xgboost-3.2.0.1/xgboost/src/src/gbm/gbtree.cc                                |  123 
 xgboost-3.2.0.1/xgboost/src/src/gbm/gbtree.h                                 |   62 
 xgboost-3.2.0.1/xgboost/src/src/gbm/gbtree_model.cc                          |   30 
 xgboost-3.2.0.1/xgboost/src/src/gbm/gbtree_model.h                           |   63 
 xgboost-3.2.0.1/xgboost/src/src/learner.cc                                   |  187 
 xgboost-3.2.0.1/xgboost/src/src/metric/auc.cu                                |   77 
 xgboost-3.2.0.1/xgboost/src/src/metric/elementwise_metric.cu                 |    3 
 xgboost-3.2.0.1/xgboost/src/src/metric/rank_metric.cc                        |  144 
 xgboost-3.2.0.1/xgboost/src/src/objective/adaptive.cc                        |  152 
 xgboost-3.2.0.1/xgboost/src/src/objective/adaptive.cu                        |   88 
 xgboost-3.2.0.1/xgboost/src/src/objective/adaptive.h                         |   46 
 xgboost-3.2.0.1/xgboost/src/src/objective/aft_obj.cu                         |   10 
 xgboost-3.2.0.1/xgboost/src/src/objective/hinge.cu                           |   12 
 xgboost-3.2.0.1/xgboost/src/src/objective/multiclass_obj.cu                  |   17 
 xgboost-3.2.0.1/xgboost/src/src/objective/quantile_obj.cu                    |   23 
 xgboost-3.2.0.1/xgboost/src/src/objective/regression_loss.h                  |   29 
 xgboost-3.2.0.1/xgboost/src/src/objective/regression_obj.cu                  |  186 
 xgboost-3.2.0.1/xgboost/src/src/predictor/array_tree_layout.h                |   32 
 xgboost-3.2.0.1/xgboost/src/src/predictor/cpu_predictor.cc                   |  324 -
 xgboost-3.2.0.1/xgboost/src/src/predictor/gbtree_view.h                      |only
 xgboost-3.2.0.1/xgboost/src/src/predictor/gpu_predictor.cu                   | 1122 +---
 xgboost-3.2.0.1/xgboost/src/src/predictor/predict_fn.h                       |   34 
 xgboost-3.2.0.1/xgboost/src/src/predictor/treeshap.cc                        |   46 
 xgboost-3.2.0.1/xgboost/src/src/predictor/treeshap.h                         |   15 
 xgboost-3.2.0.1/xgboost/src/src/tree/common_row_partitioner.h                |   75 
 xgboost-3.2.0.1/xgboost/src/src/tree/constraints.cu                          |   12 
 xgboost-3.2.0.1/xgboost/src/src/tree/constraints.cuh                         |   24 
 xgboost-3.2.0.1/xgboost/src/src/tree/fit_stump.cc                            |   33 
 xgboost-3.2.0.1/xgboost/src/src/tree/fit_stump.h                             |   17 
 xgboost-3.2.0.1/xgboost/src/src/tree/gpu_hist/evaluate_splits.cu             |   36 
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Package semhelpinghands updated to version 0.1.14 with previous version 0.1.12 dated 2024-11-02

Title: Helper Functions for Structural Equation Modeling
Description: An assortment of helper functions for doing structural equation modeling, mainly by 'lavaan' for now. Most of them are time-saving functions for common tasks in doing structural equation modeling and reading the output. This package is not for functions that implement advanced statistical procedures. It is a light-weight package for simple functions that do simple tasks conveniently, with as few dependencies as possible.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package XML updated to version 3.99-0.22 with previous version 3.99-0.20 dated 2025-11-08

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

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Package baggr updated to version 0.8 with previous version 0.7.11 dated 2025-06-19

Title: Bayesian Aggregate Treatment Effects
Description: Running and comparing meta-analyses of data with hierarchical Bayesian models in Stan, including convenience functions for formatting data, plotting and pooling measures specific to meta-analysis. This implements many models from Meager (2019) <doi:10.1257/app.20170299>.
Author: Witold Wiecek [cre, aut], Rachael Meager [aut], Brice Green [ctb] , Danny Toomey [ctb] , Trustees of Columbia University [cph]
Maintainer: Witold Wiecek <witold.wiecek@gmail.com>

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Package robcat updated to version 0.2 with previous version 0.1.0 dated 2025-05-01

Title: Robust Categorical Data Analysis
Description: Robust categorical data analysis based on the theory of C-estimation developed in Welz (2024) <doi:10.48550/arXiv.2403.11954>. For now, the package only implements robust estimation of polychoric correlation as proposed in Welz, Mair and Alfons (2026) <doi:10.1017/psy.2025.10066> and robust estimation of polyserial correlation (Welz, 2026 <doi:10.1017/psy.2026.10091>) with methods for printing and plotting. We will implement further models in future releases. In addition, the package is still experimental, so input arguments and class structure may change in future releases.
Author: Max Welz [aut, cre] , Andreas Alfons [aut] , Patrick Mair [aut]
Maintainer: Max Welz <max.welz@uzh.ch>

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Package EEAaq updated to version 1.0.3 with previous version 1.0.2 dated 2026-01-21

Title: Handle Air Quality Data from the European Environment Agency Data Portal
Description: This software downloads and manages air quality data from the European Environmental Agency (EEA) dataflow (<https://www.eea.europa.eu/data-and-maps/data/aqereporting-9>). See the web page <https://eeadmz1-downloads-webapp.azurewebsites.net/> for details on the EEA's Air Quality Download Service. The package allows dynamically mapping the stations, summarising and time aggregating the measurements and building spatial interpolation maps. See the web page <https://www.eea.europa.eu/en> for further information on EEA activities and history. Further details, as well as, an extended vignette of the main functions included in the package, are available at the GitHub web page dedicated to the project.
Author: Paolo Maranzano [aut, cre, cph] , Riccardo Borgoni [aut, cph] , Samir Doghmi [aut, cph], Agostino Tassan Mazzocco [aut, cph]
Maintainer: Paolo Maranzano <pmaranzano.ricercastatistica@gmail.com>

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Package SaturnCoefficient updated to version 1.6 with previous version 1.4 dated 2025-02-14

Title: Statistical Evaluation of UMAP Dimensionality Reductions
Description: A metric expressing the quality of a UMAP layout. This is a package that contains the Saturn_coefficient() function that reads an input matrix, its dimensionality reduction produced by UMAP, and evaluates the quality of this dimensionality reduction by producing a real value in the [0; 1] interval. We call this real value Saturn coefficient. A higher value means better dimensionality reduction; a lower value means worse dimensionality reduction. Reference: Davide Chicco et al. (February 2026), "The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation", PeerJ Computer Science 12:e3424 (pp. 1-30), <doi:10.7717/peerj-cs.3424>.
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>

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Package fEGarch updated to version 1.0.6 with previous version 1.0.5 dated 2026-02-02

Title: SM/LM EGARCH & GARCH, VaR/ES Backtesting & Dual LM Extensions
Description: Implement and fit a variety of short-memory (SM) and long-memory (LM) models from a very broad family of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the EGARCH family is discussed in Feng et al. (2023) <https://econpapers.repec.org/paper/pdnciepap/156.htm>. For convenience and the purpose of comparison, a variety of other popular SM and LM GARCH-type models, like an APARCH model, a fractionally integrated APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH (FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH models, are implemented as well as dual models with simultaneous modelling of the mean, including dual long-memory models with a fractionally integrated autoregressive moving average (FARIMA) model in the mean and a long [...truncated...]
Author: Dominik Schulz [aut, cre] , Yuanhua Feng [aut] , Christian Peitz [aut] ), Oliver Kojo Ayensu [aut] , Thomas Gries [ctb] , Sikandar Siddiqui [ctb] , Shujie Li [ctb]
Maintainer: Dominik Schulz <dominik.schulz@uni-paderborn.de>

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Package BioTIMEr updated to version 0.3.1 with previous version 0.3.0 dated 2025-11-28

Title: Tools to Use and Explore the 'BioTIME' Database
Description: The 'BioTIME' database was first published in 2018 and inspired ideas, questions, project and research article. To make it even more accessible, an R package was created. The 'BioTIMEr' package provides tools designed to interact with the 'BioTIME' database. The functions provided include the 'BioTIME' recommended methods for preparing (gridding and rarefaction) time series data, a selection of standard biodiversity metrics (including species richness, numerical abundance and exponential Shannon) alongside examples on how to display change over time. It also includes a sample subset of both the query and meta data, the full versions of which are freely available on the 'BioTIME' website <https://biotime.st-andrews.ac.uk/home.php>.
Author: Alban Sagouis [aut, cre] , Faye Moyes [aut] , Ines S. Martins [aut, rev] , Shane A. Blowes [ctb] , Viviana Brambilla [ctb] , Cher F. Y. Chow [ctb] , Ada Fontrodona-Eslava [ctb] , Laura Antao [ctb, rev] , Jonathan M. Chase [fnd] , Maria Dornelas [fnd, [...truncated...]
Maintainer: Alban Sagouis <alban.sagouis@idiv.de>

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Package memoria updated to version 1.1.0 with previous version 1.0.0 dated 2019-05-17

Title: Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series
Description: Quantifies ecological memory in long time-series using Random Forest models ('Benito', 'Gil-Romera', and 'Birks' 2019 <doi:10.1111/ecog.04772>) fitted with 'ranger' (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>). Ecological memory is assessed by modeling a response variable as a function of lagged predictors, distinguishing endogenous memory (lagged response) from exogenous memory (lagged environmental drivers). Designed for palaeoecological datasets and simulated pollen curves from 'virtualPollen', but applicable to any long time-series with environmental drivers and a biotic response.
Author: Blas M. Benito [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

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Package timeplyr updated to version 1.1.2 with previous version 1.1.1 dated 2025-10-07

Title: Fast Tidy Tools for Date and Date-Time Manipulation
Description: A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package NMAforest updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-10

Title: Forest Plots for Network Meta-Analysis with Proportion for Paths and Studies
Description: Provides customized forest plots for network meta-analysis incorporating direct, indirect, and NMA effects. Includes visualizations of evidence contributions through proportion bars based on the hat matrix and evidence flow decomposition.
Author: Yanqi Zhang [aut, cre], Chong Wang [aut], Annette O'Connor [aut]
Maintainer: Yanqi Zhang <zyq1998@iastate.edu>

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Package SimDesign updated to version 2.23 with previous version 2.22 dated 2025-12-17

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Roenkkoe [aut], Moritz Ketzer [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package nfl4th updated to version 1.0.5 with previous version 1.0.4 dated 2023-08-21

Title: Functions to Calculate Optimal Fourth Down Decisions in the National Football League
Description: A set of functions to estimate outcomes of fourth down plays in the National Football League and obtain fourth down plays from <https://www.nfl.com/> and <https://www.espn.com/>.
Author: Ben Baldwin [aut, cre, cph], Sebastian Carl [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>

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Package nanoarrow updated to version 0.8.0 with previous version 0.7.0-3 dated 2026-02-01

Title: Interface to the 'nanoarrow' 'C' Library
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package ggFishPlots updated to version 0.4.0 with previous version 0.3.0 dated 2024-06-26

Title: Visualise and Calculate Life History Parameters for Fisheries Science using 'ggplot2'
Description: Contains functions to create life history parameter plots from raw data. The plots are created using 'ggplot2', and calculations done using the 'tidyverse' collection of packages. The package contains references to FishBase (Froese R., Pauly D., 2023) <https://www.fishbase.se/>.
Author: Mikko Vihtakari [aut, cre]
Maintainer: Mikko Vihtakari <mikko.vihtakari@hi.no>

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Package fastTextR updated to version 2.1.1 with previous version 2.1.0 dated 2023-12-08

Title: An Interface to the 'fastText' Library
Description: An interface to the 'fastText' library <https://github.com/facebookresearch/fastText>. The package can be used for text classification and to learn word vectors. An example how to use 'fastTextR' can be found in the 'README' file.
Author: Florian Schwendinger [aut], Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

Diff between fastTextR versions 2.1.0 dated 2023-12-08 and 2.1.1 dated 2026-02-10

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Package fastText updated to version 1.0.6 with previous version 1.0.5 dated 2026-01-09

Title: Efficient Learning of Word Representations and Sentence Classification
Description: An interface to the 'fastText' <https://github.com/facebookresearch/fastText> library for efficient learning of word representations and sentence classification. The 'fastText' algorithm is explained in detail in (i) "Enriching Word Vectors with subword Information", Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov, 2017, <doi:10.1162/tacl_a_00051>; (ii) "Bag of Tricks for Efficient Text Classification", Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2017, <doi:10.18653/v1/e17-2068>; (iii) "FastText.zip: Compressing text classification models", Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou, Tomas Mikolov, 2016, <doi:10.48550/arXiv.1612.03651>.
Author: Lampros Mouselimis [aut, cre] , Facebook Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package echarts4r updated to version 0.5.0 with previous version 0.4.6 dated 2025-09-11

Title: Create Interactive Graphs with 'Echarts JavaScript' Version 6
Description: Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 36 chart types, themes, 'Shiny' proxies and animations.
Author: John Coene [aut, cph], David Munoz Tord [cre, ctb] , Wei Su [ctb], Helgasoft [ctb], Xianying Tan [ctb] , Robin Cura [ctb] , Mathida Chuk [ctb], Robert Koetsier [ctb] , Jelle Geertsma [ctb], Teofil Nakov [ctb], Patrick Rekieta [ctb] , Jacci Ziebert [c [...truncated...]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package daltoolbox updated to version 1.3.717 with previous version 1.2.747 dated 2025-10-27

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Ana Carolina Sa [aut], Antonio Castro [aut], Caio Santos [aut], Diego Carvalho [ctb], Diego Salles [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Janio Lima [aut], Lucas Tavares [aut], Rafae [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package CTT updated to version 2.3.4 with previous version 2.3.3 dated 2018-09-12

Title: Classical Test Theory Functions
Description: A collection of common test and item analyses from a classical test theory (CTT) framework. Analyses can be applied to both dichotomous and polytomous data. Functions provide reliability analyses (alpha), item statistics, disctractor analyses, disattenuated correlations, scoring routines, and empirical ICCs.
Author: John T. Willse [aut, cre]
Maintainer: John T. Willse <measurementjohn@gmail.com>

Diff between CTT versions 2.3.3 dated 2018-09-12 and 2.3.4 dated 2026-02-10

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Package PUlasso (with last version 3.2.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-12-18 3.2.5

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Package nycOpenData (with last version 0.1.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-01-25 0.1.5
2026-01-21 0.1.4
2026-01-09 0.1.3
2025-11-17 0.1.2

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