Thu, 11 Apr 2024

Package logrx updated to version 0.3.1 with previous version 0.3.0 dated 2023-10-17

Title: A Logging Utility Focus on Clinical Trial Programming Workflows
Description: A utility to facilitate the logging and review of R programs in clinical trial programming workflows.
Author: Nathan Kosiba [aut, cre], Thomas Bermudez [aut], Ben Straub [aut], Michael Rimler [aut], Nicholas Masel [aut], Sam Parmar [aut], GSK/Atorus JPT [cph, fnd]
Maintainer: Nathan Kosiba <nhkosiba@gmail.com>

Diff between logrx versions 0.3.0 dated 2023-10-17 and 0.3.1 dated 2024-04-11

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Package renv updated to version 1.0.7 with previous version 1.0.6 dated 2024-04-11

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.0.6 dated 2024-04-11 and 1.0.7 dated 2024-04-11

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Package KEPTED updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-27

Title: Kernel-Embedding-of-Probability Test for Elliptical Distribution
Description: Provides an implementation of a kernel-embedding of probability test for elliptical distribution. This is an asymptotic test for elliptical distribution under general alternatives, and the location and shape parameters are assumed to be unknown. Some side-products are posted, including the transformation between rectangular and polar coordinates and two product-type kernel functions. See Tang and Li (2024) <arXiv:2306.10594> for details.
Author: Yin Tang [aut, cre], Bing Li [cph, aut]
Maintainer: Yin Tang <yqt5219@psu.edu>

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Package goldfish updated to version 1.6.8 with previous version 1.6.4 dated 2022-08-24

Title: Statistical Network Models for Dynamic Network Data
Description: Tools for fitting statistical network models to dynamic network data. Can be used for fitting both dynamic network actor models ('DyNAMs') and relational event models ('REMs'). Stadtfeld, Hollway, and Block (2017a) <doi:10.1177/0081175017709295>, Stadtfeld, Hollway, and Block (2017b) <doi:10.1177/0081175017733457>, Stadtfeld and Block (2017) <doi:10.15195/v4.a14>, Hoffman et al. (2020) <doi:10.1017/nws.2020.3>.
Author: James Hollway [aut, dtc] , Christoph Stadtfeld [aut, dtc], Marion Hoffman [aut], Alvaro Uzaheta [cre, aut] , Mirko Reul [ctb], Timon Elmer [ctb], Kieran Mepham [ctb], Per Block [ctb], Xiaolei Zhang [ctb], Weigutian Ou [ctb], Emily Garvin [ctb], Siwei [...truncated...]
Maintainer: Alvaro Uzaheta <ualvaro@ethz.ch>

Diff between goldfish versions 1.6.4 dated 2022-08-24 and 1.6.8 dated 2024-04-11

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Package GeDS updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-24

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>, Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>, Vladimir K. Kaishev <V.Kaishev@city.ac.uk>, Andrea Lattuada <andrea.lattuada@hotmail.com> and Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>

Diff between GeDS versions 0.2.0 dated 2024-03-24 and 0.2.1 dated 2024-04-11

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Package gasanalyzer updated to version 0.4.0 with previous version 0.3.4 dated 2024-01-10

Title: Import, Recompute and Analyze Data from Portable Gas Analyzers
Description: Provides functions to import data from several instruments commonly used by plant physiologists to measure characteristics related to photosynthesis. It provides a standardized list of variable names, and several sets of equations to calculate additional variables based on the measurements. These equations have been described by von Caemmerer and Farquhar (1981) <doi:10.1007/BF00384257>, Busch et al. (2020) <doi:10.1038/s41477-020-0606-6> and Márquez et al. (2021) <doi:10.1038/s41477-021-00861-w>. In addition, this package facilitates performing sensitivity analyses on variables or assumptions used in the calculations.
Author: Danny Tholen [aut, cre]
Maintainer: Danny Tholen <thalecress+p@gmail.com>

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New package mapmisc with initial version 2.0.9
Package: mapmisc
Title: Utilities for Producing Maps
Version: 2.0.9
Date: 2024-04-10
Depends: terra, R (>= 3.5.0)
Imports: methods, grDevices, stats, utils, graphics, geosphere
Suggests: RColorBrewer, geonames, classInt, knitr
Enhances: XML, RCurl
Description: Provides a minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections. See Brown (2016) <doi:10.32614/RJ-2016-005>.
License: GPL
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-11 14:23:51 UTC; patrick
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Repository: CRAN
Date/Publication: 2024-04-11 20:30:02 UTC

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New package AcceptReject with initial version 0.1.0
Package: AcceptReject
Title: Acceptance-Rejection Method for Generating Pseudo-Random Observations
Version: 0.1.0
Description: Provides a function that implements the acceptance-rejection method in an optimized manner to generate pseudo-random observations for discrete or continuous random variables. The function is optimized to work in parallel on Unix-based operating systems and performs well on Windows systems. The acceptance-rejection method implemented optimizes the probability of generating observations from the desired random variable, by simply providing the probability function or probability density function, in the discrete and continuous cases, respectively. Implementation is based on references CASELLA, George at al. (2004) <https://www.jstor.org/stable/4356322>, NEAL, Radford M. (2003) <https://www.jstor.org/stable/3448413> and Bishop, Christopher M. (2006, ISBN: 978-0387310732).
License: GPL (>= 3)
Encoding: UTF-8
URL: https://prdm0.github.io/AcceptReject/
BugReports: https://github.com/prdm0/AcceptReject/issues/
VignetteBuilder: knitr
Imports: cli, ggplot2, glue, lbfgs, numDeriv, pbmcapply, purrr, rlang, scales
Suggests: knitr, rmarkdown, patchwork
NeedsCompilation: no
Packaged: 2024-04-11 13:02:02 UTC; prdm0
Author: Pedro Rafael D. Marinho [aut, cre] , Vera Lucia Damasceno Tomazella [aut]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-11 20:10:02 UTC

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Package GetTDData updated to version 1.5.5 with previous version 1.5.4 dated 2023-05-15

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetTDData versions 1.5.4 dated 2023-05-15 and 1.5.5 dated 2024-04-11

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Package psychotree updated to version 0.16-1 with previous version 0.16-0 dated 2022-05-06

Title: Recursive Partitioning Based on Psychometric Models
Description: Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models.
Author: Achim Zeileis [aut, cre] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] , David Dreifuss [aut], Rudolf Debelak [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between psychotree versions 0.16-0 dated 2022-05-06 and 0.16-1 dated 2024-04-11

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More information about psychotree at CRAN
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Package gpboost updated to version 1.4.0 with previous version 1.3.1 dated 2024-03-28

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.3.1 dated 2024-03-28 and 1.4.0 dated 2024-04-11

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 man/fit.Rd                                                  |   12 
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More information about gpboost at CRAN
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Package traveltimeR updated to version 1.2.0 with previous version 1.1.5 dated 2024-04-10

Title: Interface to 'Travel Time' API
Description: 'Travel Time' API <https://docs.traveltime.com/api/overview/introduction> helps users find locations by journey time rather than using ‘as the crow flies’ distance. Time-based searching gives users more opportunities for personalisation and delivers a more relevant search.
Author: TravelTime [aut, cre]
Maintainer: TravelTime <frontend@traveltime.com>

Diff between traveltimeR versions 1.1.5 dated 2024-04-10 and 1.2.0 dated 2024-04-11

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More information about traveltimeR at CRAN
Permanent link

Package offsetreg updated to version 1.1.0 with previous version 1.0.0 dated 2024-01-23

Title: An Extension of 'Tidymodels' Supporting Offset Terms
Description: Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to enable the creation of predictive models with offset terms. Models with offsets are most useful when working with count data or when fitting an adjustment model on top of an existing model with a prior expectation. The former situation is common in insurance where data is often weighted by exposures. The latter is common in life insurance where industry mortality tables are often used as a starting point for setting assumptions.
Author: Matt Heaphy [aut, cre, cph]
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>

Diff between offsetreg versions 1.0.0 dated 2024-01-23 and 1.1.0 dated 2024-04-11

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More information about offsetreg at CRAN
Permanent link

Package fastai updated to version 2.2.2 with previous version 2.2.1 dated 2023-03-11

Title: Interface to 'fastai'
Description: The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Author: Turgut Abdullayev [ctb, cre, cph, aut]
Maintainer: Turgut Abdullayev <turqut.a.314@gmail.com>

Diff between fastai versions 2.2.1 dated 2023-03-11 and 2.2.2 dated 2024-04-11

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 R/Learner_fits.R                                                                          |  596 -
 R/Loss.R                                                                                  |  504 
 R/audio_aug_preprocess.R                                                                  |   94 
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 R/bs_finder.R                                                                             |  122 
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 R/custom_modules.R                                                                        |  222 
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 R/dataloader.R                                                                            |   96 
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 R/fastaibuilt.R                                                                           |  192 
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 R/freeze.R                                                                                |   84 
 R/generics_image.R                                                                        |   44 
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 R/icevision_faster_rcnn.R                                                                 |  100 
 R/icevision_mask_rcnn.R                                                                   |  116 
 R/icevision_metrics.R                                                                     |   84 
 R/icevision_models.R                                                                      |  338 
 R/icevision_parsers.R                                                                     |  364 
 R/icevision_utils.R                                                                       |  308 
 R/image_loaders.R                                                                         | 1160 -
 R/image_ops.R                                                                             |  548 
 R/import_modules.R                                                                        |  626 -
 R/install_fastai.R                                                                        |  376 
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 R/metric.R                                                                                | 2644 ++--
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 R/package.R                                                                               |  544 
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 R/reexports.R                                                                             |  102 
 R/splitters.R                                                                             |   82 
 R/stats.R                                                                                 |  468 
 R/tabular.R                                                                               |  430 
 R/tabular_model.R                                                                         |  256 
 R/tabular_transform.R                                                                     |  436 
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 R/text_core.R                                                                             | 1254 +-
 R/text_data.R                                                                             | 1646 +-
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 R/text_models.R                                                                           | 1210 +-
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 R/time_series_data.R                                                                      |  248 
 R/time_series_model.R                                                                     |  336 
 R/time_series_tabular.R                                                                   |  406 
 R/timm_loader.R                                                                           |   70 
 R/unet.R                                                                                  |  514 
 R/vision_augment.R                                                                        | 2042 +--
 R/vision_core.R                                                                           | 1478 +-
 R/vision_data.R                                                                           |  458 
 R/vision_learner.R                                                                        |  198 
 R/vision_models.R                                                                         | 1892 +--
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 build/vignette.rds                                                                        |binary
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 inst/python/fastaibuilt/Module_test.py                                                    |   20 
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 inst/python/fastaibuilt/crappify.py                                                       |   46 
 inst/python/fastaibuilt/custom_loss.py                                                    |   22 
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 inst/python/fastaibuilt/train_tabular.py                                                  |  100 
 man/APScoreBinary.Rd                                                                      |   56 
 man/APScoreMulti.Rd                                                                       |   56 
 man/AWD_LSTM.Rd                                                                           |   92 
 man/AWD_QRNN.Rd                                                                           |   92 
 man/AccumMetric.Rd                                                                        |   80 
 man/Adam.Rd                                                                               |   34 
 man/AdaptiveAvgPool.Rd                                                                    |   32 
 man/AdaptiveConcatPool1d.Rd                                                               |   34 
 man/AdaptiveConcatPool2d.Rd                                                               |   34 
 man/AdaptiveGANSwitcher.Rd                                                                |   38 
 man/AdaptiveLoss.Rd                                                                       |   34 
 man/AddChannels.Rd                                                                        |   28 
 man/AddNoise.Rd                                                                           |   38 
 man/AffineCoordTfm.Rd                                                                     |   74 
 man/AudioBlock.Rd                                                                         |   56 
 man/AudioBlock_from_folder.Rd                                                             |   56 
 man/AudioGetter.Rd                                                                        |   48 
 man/AudioPadType.Rd                                                                       |   28 
 man/AudioSpectrogram.Rd                                                                   |   28 
 man/AudioTensor.Rd                                                                        |   38 
 man/AudioTensor_create.Rd                                                                 |   68 
 man/AudioToMFCC.Rd                                                                        |   68 
 man/AudioToMFCC_from_cfg.Rd                                                               |   34 
 man/AudioToSpec_from_cfg.Rd                                                               |   34 
 man/AutoConfig.Rd                                                                         |   28 
 man/AvgLoss.Rd                                                                            |   34 
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 man/AvgSmoothLoss.Rd                                                                      |   34 
 man/BBoxBlock.Rd                                                                          |   28 
 man/BBoxLabeler.Rd                                                                        |   46 
 man/BBoxLblBlock.Rd                                                                       |  116 
 man/BCELossFlat.Rd                                                                        |   34 
 man/BCEWithLogitsLossFlat.Rd                                                              |   34 
 man/BalancedAccuracy.Rd                                                                   |   42 
 man/BaseLoss.Rd                                                                           |   34 
 man/BaseTokenizer.Rd                                                                      |   34 
 man/BasicMFCC.Rd                                                                          |   68 
 man/BasicMelSpectrogram.Rd                                                                |  116 
 man/BasicSpectrogram.Rd                                                                   |   92 
 man/BatchNorm.Rd                                                                          |   74 
 man/BatchNorm1dFlat.Rd                                                                    |   62 
 man/BrierScore.Rd                                                                         |   42 
 man/BrierScoreMulti.Rd                                                                    |   56 
 man/COCOMetric.Rd                                                                         |   56 
 man/COCOMetricType.Rd                                                                     |   28 
 man/CSVLogger.Rd                                                                          |   80 
 man/Callback.Rd                                                                           |   28 
 man/Cat.Rd                                                                                |   38 
 man/Categorify.Rd                                                                         |   38 
 man/CategoryBlock.Rd                                                                      |   42 
 man/ChangeVolume.Rd                                                                       |   42 
 man/ClassificationInterpretation_from_learner.Rd                                          |   56 
 man/CohenKappa.Rd                                                                         |   46 
 man/ColReader.Rd                                                                          |   46 
 man/ColSplitter.Rd                                                                        |   34 
 man/CollabDataLoaders_from_dblock.Rd                                                      |   74 
 man/CollabDataLoaders_from_df.Rd                                                          |  132 
 man/CollectDataCallback.Rd                                                                |   42 
 man/Contrast.Rd                                                                           |   46 
 man/ConvLayer.Rd                                                                          |  134 
 man/CorpusBLEUMetric.Rd                                                                   |   38 
 man/CropPad.Rd                                                                            |   42 
 man/CropTime.Rd                                                                           |   38 
 man/CrossEntropyLossFlat.Rd                                                               |   34 
 man/CudaCallback.Rd                                                                       |   34 
 man/CutMix.Rd                                                                             |   34 
 man/CycleGAN.Rd                                                                           |   88 
 man/CycleGANLoss.Rd                                                                       |   74 
 man/CycleGANTrainer.Rd                                                                    |   34 
 man/DataBlock.Rd                                                                          |   76 
 man/Data_Loaders.Rd                                                                       |   62 
 man/Datasets.Rd                                                                           |  104 
 man/Debugger.Rd                                                                           |   34 
 man/Delta.Rd                                                                              |   36 
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 man/DeterministicDihedral.Rd                                                              |   56 
 man/DeterministicDraw.Rd                                                                  |   34 
 man/DeterministicFlip.Rd                                                                  |   62 
 man/Dice.Rd                                                                               |   34 
 man/Dicom.Rd                                                                              |   28 
 man/Dihedral.Rd                                                                           |  102 
 man/DihedralItem.Rd                                                                       |   42 
 man/DownmixMono.Rd                                                                        |   46 
 man/DynamicUnet.Rd                                                                        |  104 
 man/EarlyStoppingCallback.Rd                                                              |   34 
 man/Embedding.Rd                                                                          |   38 
 man/EmbeddingDropout.Rd                                                                   |   38 
 man/ExplainedVariance.Rd                                                                  |   34 
 man/F1Score.Rd                                                                            |   62 
 man/F1ScoreMulti.Rd                                                                       |   68 
 man/FBeta.Rd                                                                              |   68 
 man/FBetaMulti.Rd                                                                         |   74 
 man/FetchPredsCallback.Rd                                                                 |   68 
 man/FileSplitter.Rd                                                                       |   34 
 man/FillMissing.Rd                                                                        |   80 
 man/FillStrategy_COMMON.Rd                                                                |   28 
 man/FillStrategy_CONSTANT.Rd                                                              |   28 
 man/FillStrategy_MEDIAN.Rd                                                                |   28 
 man/FixedGANSwitcher.Rd                                                                   |   38 
 man/Flatten.Rd                                                                            |   28 
 man/Flip.Rd                                                                               |   74 
 man/FlipItem.Rd                                                                           |   34 
 man/FolderDataset.Rd                                                                      |   44 
 man/ForgetMultGPU.Rd                                                                      |   34 
 man/FuncSplitter.Rd                                                                       |   34 
 man/GANDiscriminativeLR.Rd                                                                |   28 
 man/GANLearner_from_learners.Rd                                                           |  152 
 man/GANLearner_wgan.Rd                                                                    |  162 
 man/GANLoss.Rd                                                                            |   42 
 man/GANModule.Rd                                                                          |   42 
 man/GANTrainer.Rd                                                                         |   62 
 man/GatherPredsCallback.Rd                                                                |   62 
 man/GradientAccumulation.Rd                                                               |   34 
 man/GrandparentSplitter.Rd                                                                |   38 
 man/HF_ARCHITECTURES.Rd                                                                   |   28 
 man/HF_BaseInput.Rd                                                                       |   42 
 man/HF_BaseModelCallback.Rd                                                               |   34 
 man/HF_BaseModelWrapper.Rd                                                                |   56 
 man/HF_BeforeBatchTransform.Rd                                                            |   82 
 man/HF_CausalLMBeforeBatchTransform.Rd                                                    |   94 
 man/HF_QABatchTransform.Rd                                                                |   94 
 man/HF_QABeforeBatchTransform.Rd                                                          |   88 
 man/HF_QstAndAnsModelCallback.Rd                                                          |   34 
 man/HF_QuestionAnswerInput.Rd                                                             |   34 
 man/HF_SummarizationBeforeBatchTransform.Rd                                               |   88 
 man/HF_SummarizationInput.Rd                                                              |   28 
 man/HF_SummarizationModelCallback.Rd                                                      |   50 
 man/HF_TASKS_ALL.Rd                                                                       |   28 
 man/HF_TASKS_AUTO.Rd                                                                      |   28 
 man/HF_Text2TextAfterBatchTransform.Rd                                                    |   44 
 man/HF_Text2TextBlock.Rd                                                                  |   34 
 man/HF_TextBlock.Rd                                                                       |   34 
 man/HF_TokenCategorize.Rd                                                                 |   42 
 man/HF_TokenCategoryBlock.Rd                                                              |   50 
 man/HF_TokenClassBeforeBatchTransform.Rd                                                  |   94 
 man/HF_TokenClassInput.Rd                                                                 |   28 
 man/HF_TokenTensorCategory.Rd                                                             |   28 
 man/HF_load_dataset.Rd                                                                    |  140 
 man/HammingLoss.Rd                                                                        |   50 
 man/HammingLossMulti.Rd                                                                   |   56 
 man/Hook.Rd                                                                               |   78 
 man/HookCallback.Rd                                                                       |   94 
 man/Hooks.Rd                                                                              |   50 
 man/Hue.Rd                                                                                |   46 
 man/IDMap.Rd                                                                              |   34 
 man/Image.Rd                                                                              |   34 
 man/ImageBW_create.Rd                                                                     |   34 
 man/ImageBlock.Rd                                                                         |   34 
 man/ImageDataLoaders_from_csv.Rd                                                          |  158 
 man/ImageDataLoaders_from_dblock.Rd                                                       |   80 
 man/ImageDataLoaders_from_df.Rd                                                           |  140 
 man/ImageDataLoaders_from_folder.Rd                                                       |  110 
 man/ImageDataLoaders_from_lists.Rd                                                        |  110 
 man/ImageDataLoaders_from_name_re.Rd                                                      |  132 
 man/ImageDataLoaders_from_path_func.Rd                                                    |  104 
 man/ImageDataLoaders_from_path_re.Rd                                                      |  104 
 man/Image_create.Rd                                                                       |   34 
 man/Image_open.Rd                                                                         |   38 
 man/Image_resize.Rd                                                                       |   50 
 man/InceptionModule.Rd                                                                    |   62 
 man/IndexSplitter.Rd                                                                      |   34 
 man/InstanceNorm.Rd                                                                       |   74 
 man/IntToFloatTensor.Rd                                                                   |   38 
 man/InvisibleTensor.Rd                                                                    |   34 
 man/Jaccard.Rd                                                                            |   62 
 man/JaccardCoeff.Rd                                                                       |   34 
 man/JaccardMulti.Rd                                                                       |   68 
 man/L.Rd                                                                                  |   28 
 man/L1LossFlat.Rd                                                                         |   34 
 man/LMDataLoader.Rd                                                                       |  128 
 man/LMLearner.Rd                                                                          |  174 
 man/LMLearner_predict.Rd                                                                  |   80 
 man/LabelSmoothingCrossEntropy.Rd                                                         |   38 
 man/LabelSmoothingCrossEntropyFlat.Rd                                                     |   34 
 man/LabeledBBox.Rd                                                                        |   34 
 man/Lamb.Rd                                                                               |   34 
 man/Lambda.Rd                                                                             |   34 
 man/Larc.Rd                                                                               |   34 
 man/Learner.Rd                                                                            |   60 
 man/LightingTfm.Rd                                                                        |   38 
 man/LinBnDrop.Rd                                                                          |   54 
 man/LinearDecoder.Rd                                                                      |   50 
 man/LitModel.Rd                                                                           |   28 
 man/Lookahead.Rd                                                                          |   34 
 man/LossMetric.Rd                                                                         |   38 
 man/MCDropoutCallback.Rd                                                                  |   38 
 man/MSELossFlat.Rd                                                                        |   34 
 man/MaskBlock.Rd                                                                          |   34 
 man/MaskFreq.Rd                                                                           |   46 
 man/MaskTime.Rd                                                                           |   46 
 man/Mask_create.Rd                                                                        |   46 
 man/MatthewsCorrCoef.Rd                                                                   |   34 
 man/MatthewsCorrCoefMulti.Rd                                                              |   42 
 man/MaxPool.Rd                                                                            |   50 
 man/MergeLayer.Rd                                                                         |   34 
 man/MishJitAutoFn.Rd                                                                      |   34 
 man/Mish_.Rd                                                                              |   34 
 man/MixHandler.Rd                                                                         |   34 
 man/MixUp.Rd                                                                              |   34 
 man/ModelResetter.Rd                                                                      |   34 
 man/Module.Rd                                                                             |   28 
 man/Module_test.Rd                                                                        |   28 
 man/MultiCategorize.Rd                                                                    |   38 
 man/MultiCategoryBlock.Rd                                                                 |   42 
 man/MultiTargetLoss.Rd                                                                    |   34 
 man/Net.Rd                                                                                |   46 
 man/NoiseColor.Rd                                                                         |   28 
 man/NoneReduce.Rd                                                                         |   34 
 man/Normalize.Rd                                                                          |   38 
 man/NormalizeTS.Rd                                                                        |   46 
 man/Normalize_from_stats.Rd                                                               |   50 
 man/Numericalize.Rd                                                                       |   62 
 man/OldRandomCrop.Rd                                                                      |   42 
 man/OpenAudio.Rd                                                                          |   34 
 man/OptimWrapper.Rd                                                                       |   34 
 man/Optimizer.Rd                                                                          |   34 
 man/ParamScheduler.Rd                                                                     |   34 
 man/PartialDL.Rd                                                                          |  122 
 man/PartialLambda.Rd                                                                      |   34 
 man/PearsonCorrCoef.Rd                                                                    |   68 
 man/Perplexity.Rd                                                                         |   34 
 man/Pipeline.Rd                                                                           |   38 
 man/PixelShuffle_ICNR.Rd                                                                  |   68 
 man/PointBlock.Rd                                                                         |   28 
 man/PointScaler.Rd                                                                        |   38 
 man/PoolFlatten.Rd                                                                        |   34 
 man/PooledSelfAttention2d.Rd                                                              |   34 
 man/PoolingLinearClassifier.Rd                                                            |   46 
 man/Precision.Rd                                                                          |   62 
 man/PrecisionMulti.Rd                                                                     |   68 
 man/PreprocessAudio.Rd                                                                    |   48 
 man/QHAdam.Rd                                                                             |   34 
 man/QRNN.Rd                                                                               |   92 
 man/QRNNLayer.Rd                                                                          |   80 
 man/R2Score.Rd                                                                            |   34 
 man/RAdam.Rd                                                                              |   34 
 man/RMSProp.Rd                                                                            |   34 
 man/RNNDropout.Rd                                                                         |   34 
 man/RNNRegularizer.Rd                                                                     |   38 
 man/RandPair.Rd                                                                           |   34 
 man/RandTransform.Rd                                                                      |   46 
 man/RandomCrop.Rd                                                                         |   38 
 man/RandomErasing.Rd                                                                      |   50 
 man/RandomResizedCrop.Rd                                                                  |   62 
 man/RandomResizedCropGPU.Rd                                                               |   62 
 man/RandomSplitter.Rd                                                                     |   38 
 man/RatioResize.Rd                                                                        |   42 
 man/ReadTSBatch.Rd                                                                        |   34 
 man/Recall.Rd                                                                             |   62 
 man/RecallMulti.Rd                                                                        |   68 
 man/ReduceLROnPlateau.Rd                                                                  |   76 
 man/RegressionBlock.Rd                                                                    |   34 
 man/RemoveSilence.Rd                                                                      |   50 
 man/RemoveType.Rd                                                                         |   28 
 man/ResBlock.Rd                                                                           |  194 
 man/ResNet.Rd                                                                             |   74 
 man/Resample.Rd                                                                           |   34 
 man/Resize.Rd                                                                             |   46 
 man/ResizeBatch.Rd                                                                        |   34 
 man/ResizeSignal.Rd                                                                       |   38 
 man/ResnetBlock.Rd                                                                        |   62 
 man/RetinaNet.Rd                                                                          |   54 
 man/RetinaNetFocalLoss.Rd                                                                 |   44 
 man/RocAuc.Rd                                                                             |   64 
 man/RocAucBinary.Rd                                                                       |   88 
 man/RocAucMulti.Rd                                                                        |   56 
 man/Rotate.Rd                                                                             |   80 
 man/SEBlock.Rd                                                                            |   54 
 man/SEModule.Rd                                                                           |   42 
 man/SEResNeXtBlock.Rd                                                                     |   74 
 man/SGD.Rd                                                                                |   34 
 man/SGRoll.Rd                                                                             |   38 
 man/Saturation.Rd                                                                         |   46 
 man/SaveModelCallback.Rd                                                                  |   34 
 man/SchedCos.Rd                                                                           |   38 
 man/SchedExp.Rd                                                                           |   38 
 man/SchedLin.Rd                                                                           |   38 
 man/SchedNo.Rd                                                                            |   38 
 man/SchedPoly.Rd                                                                          |   42 
 man/SegmentationDataLoaders_from_label_func.Rd                                            |  104 
 man/SelfAttention.Rd                                                                      |   34 
 man/SentenceEncoder.Rd                                                                    |   46 
 man/SentencePieceTokenizer.Rd                                                             |   80 
 man/SeparableBlock.Rd                                                                     |   54 
 man/SequentialEx.Rd                                                                       |   34 
 man/SequentialRNN.Rd                                                                      |   34 
 man/ShapInterpretation.Rd                                                                 |   80 
 man/ShortEpochCallback.Rd                                                                 |   38 
 man/Shortcut.Rd                                                                           |   42 
 man/ShowCycleGANImgsCallback.Rd                                                           |   42 
 man/ShowGraphCallback.Rd                                                                  |   34 
 man/SigmoidRange.Rd                                                                       |   38 
 man/SignalCutout.Rd                                                                       |   38 
 man/SignalLoss.Rd                                                                         |   38 
 man/SignalShifter.Rd                                                                      |   68 
 man/SimpleCNN.Rd                                                                          |   46 
 man/SimpleSelfAttention.Rd                                                                |   42 
 man/SortedDL.Rd                                                                           |  122 
 man/SpacyTokenizer.Rd                                                                     |   42 
 man/SpearmanCorrCoef.Rd                                                                   |   80 
 man/SpectrogramTransformer.Rd                                                             |   44 
 man/SqueezeNet.Rd                                                                         |   48 
 man/Swish_.Rd                                                                             |   34 
 man/TSBlock.Rd                                                                            |   34 
 man/TSDataLoaders_from_dfs.Rd                                                             |  104 
 man/TSDataTable.Rd                                                                        |   86 
 man/TSeries.Rd                                                                            |   34 
 man/TSeries_create.Rd                                                                     |   60 
 man/TabularDataTable.Rd                                                                   |  104 
 man/TabularModel.Rd                                                                       |   98 
 man/TabularTS.Rd                                                                          |   86 
 man/TabularTSDataloader.Rd                                                                |  116 
 man/TensorBBox.Rd                                                                         |   34 
 man/TensorBBox_create.Rd                                                                  |   38 
 man/TensorImage.Rd                                                                        |   34 
 man/TensorImageBW.Rd                                                                      |   34 
 man/TensorMultiCategory.Rd                                                                |   34 
 man/TensorPoint.Rd                                                                        |   34 
 man/TensorPoint_create.Rd                                                                 |   34 
 man/TerminateOnNaNCallback.Rd                                                             |   34 
 man/TextBlock.Rd                                                                          |   86 
 man/TextBlock_from_df.Rd                                                                  |  110 
 man/TextBlock_from_folder.Rd                                                              |  128 
 man/TextDataLoaders_from_csv.Rd                                                           |  152 
 man/TextDataLoaders_from_df.Rd                                                            |  142 
 man/TextDataLoaders_from_folder.Rd                                                        |  122 
 man/TextLearner.Rd                                                                        |  128 
 man/TextLearner_load_encoder.Rd                                                           |   38 
 man/TextLearner_load_pretrained.Rd                                                        |   42 
 man/TextLearner_save_encoder.Rd                                                           |   34 
 man/TfmResize.Rd                                                                          |   38 
 man/TfmdDL.Rd                                                                             |  122 
 man/TfmdLists.Rd                                                                          |   28 
 man/ToTensor.Rd                                                                           |   46 
 man/TokenizeWithRules.Rd                                                                  |   42 
 man/Tokenizer.Rd                                                                          |   68 
 man/Tokenizer_from_df.Rd                                                                  |   74 
 man/TrackerCallback.Rd                                                                    |   42 
 man/TrainEvalCallback.Rd                                                                  |   34 
 man/Transform.Rd                                                                          |   46 
 man/TransformBlock.Rd                                                                     |   62 
 man/TransformersDropOutput.Rd                                                             |   28 
 man/TransformersTokenizer.Rd                                                              |   34 
 man/URLs_ADULT_SAMPLE.Rd                                                                  |   54 
 man/URLs_AG_NEWS.Rd                                                                       |   54 
 man/URLs_AMAZON_REVIEWSAMAZON_REVIEWS.Rd                                                  |   44 
 man/URLs_AMAZON_REVIEWS_POLARITY.Rd                                                       |   44 
 man/URLs_BIWI_HEAD_POSE.Rd                                                                |   38 
 man/URLs_CALTECH_101.Rd                                                                   |   38 
 man/URLs_CAMVID.Rd                                                                        |   38 
 man/URLs_CAMVID_TINY.Rd                                                                   |   38 
 man/URLs_CARS.Rd                                                                          |   38 
 man/URLs_CIFAR.Rd                                                                         |   38 
 man/URLs_CIFAR_100.Rd                                                                     |   38 
 man/URLs_COCO_TINY.Rd                                                                     |   38 
 man/URLs_CUB_200_2011.Rd                                                                  |   38 
 man/URLs_DBPEDIA.Rd                                                                       |   38 
 man/URLs_DOGS.Rd                                                                          |   38 
 man/URLs_FLOWERS.Rd                                                                       |   38 
 man/URLs_FOOD.Rd                                                                          |   38 
 man/URLs_HORSE_2_ZEBRA.Rd                                                                 |   38 
 man/URLs_HUMAN_NUMBERS.Rd                                                                 |   38 
 man/URLs_IMAGENETTE.Rd                                                                    |   38 
 man/URLs_IMAGENETTE_160.Rd                                                                |   38 
 man/URLs_IMAGENETTE_320.Rd                                                                |   38 
 man/URLs_IMAGEWOOF.Rd                                                                     |   38 
 man/URLs_IMAGEWOOF_160.Rd                                                                 |   38 
 man/URLs_IMAGEWOOF_320.Rd                                                                 |   38 
 man/URLs_IMDB.Rd                                                                          |   38 
 man/URLs_IMDB_SAMPLE.Rd                                                                   |   38 
 man/URLs_LSUN_BEDROOMS.Rd                                                                 |   38 
 man/URLs_ML_SAMPLE.Rd                                                                     |   38 
 man/URLs_MNIST.Rd                                                                         |   38 
 man/URLs_MNIST_SAMPLE.Rd                                                                  |   38 
 man/URLs_MNIST_TINY.Rd                                                                    |   38 
 man/URLs_MNIST_VAR_SIZE_TINY.Rd                                                           |   38 
 man/URLs_MOVIE_LENS_ML_100k.Rd                                                            |   38 
 man/URLs_MT_ENG_FRA.Rd                                                                    |   38 
 man/URLs_OPENAI_TRANSFORMER.Rd                                                            |   38 
 man/URLs_PASCAL_2007.Rd                                                                   |   38 
 man/URLs_PASCAL_2012.Rd                                                                   |   38 
 man/URLs_PETS.Rd                                                                          |   38 
 man/URLs_PLANET_SAMPLE.Rd                                                                 |   38 
 man/URLs_PLANET_TINY.Rd                                                                   |   38 
 man/URLs_S3_COCO.Rd                                                                       |   38 
 man/URLs_S3_IMAGE.Rd                                                                      |   38 
 man/URLs_S3_IMAGELOC.Rd                                                                   |   38 
 man/URLs_S3_MODEL.Rd                                                                      |   38 
 man/URLs_S3_NLP.Rd                                                                        |   38 
 man/URLs_SIIM_SMALL.Rd                                                                    |   38 
 man/URLs_SKIN_LESION.Rd                                                                   |   38 
 man/URLs_SOGOU_NEWS.Rd                                                                    |   38 
 man/URLs_SPEAKERS10.Rd                                                                    |   54 
 man/URLs_SPEECHCOMMANDS.Rd                                                                |   54 
 man/URLs_WIKITEXT.Rd                                                                      |   38 
 man/URLs_WIKITEXT_TINY.Rd                                                                 |   38 
 man/URLs_WT103_BWD.Rd                                                                     |   38 
 man/URLs_WT103_FWD.Rd                                                                     |   38 
 man/URLs_YAHOO_ANSWERS.Rd                                                                 |   38 
 man/URLs_YELP_REVIEWS.Rd                                                                  |   38 
 man/URLs_YELP_REVIEWS_POLARITY.Rd                                                         |   38 
 man/UnetBlock.Rd                                                                          |  158 
 man/Voice.Rd                                                                              |  116 
 man/WandbCallback.Rd                                                                      |   94 
 man/Warp.Rd                                                                               |   86 
 man/WeightDropout.Rd                                                                      |   42 
 man/WeightedDL.Rd                                                                         |  122 
 man/XResNet.Rd                                                                            |   48 
 man/Zoom_.Rd                                                                              |   98 
 man/abs.Rd                                                                                |   36 
 man/abs.fastai.torch_core.TensorMask.Rd                                                   |   34 
 man/accuracy.Rd                                                                           |   42 
 man/accuracy_multi.Rd                                                                     |   46 
 man/accuracy_thresh_expand.Rd                                                             |   46 
 man/adam_step.Rd                                                                          |   66 
 man/adaptive_pool.Rd                                                                      |   34 
 man/add.Rd                                                                                |   58 
 man/add_cyclic_datepart.Rd                                                                |   68 
 man/add_datepart.Rd                                                                       |   50 
 man/affine_coord.Rd                                                                       |   80 
 man/affine_mat.Rd                                                                         |   34 
 man/alexnet.Rd                                                                            |   62 
 man/and-.fastai.torch_core.TensorMask.Rd                                                  |   38 
 man/apply_perspective.Rd                                                                  |   38 
 man/as_array.Rd                                                                           |   34 
 man/aspect.Rd                                                                             |   34 
 man/audio_extensions.Rd                                                                   |   28 
 man/aug_transforms.Rd                                                                     |  178 
 man/average_grad.Rd                                                                       |   50 
 man/average_sqr_grad.Rd                                                                   |   50 
 man/awd_lstm_clas_split.Rd                                                                |   34 
 man/awd_lstm_lm_split.Rd                                                                  |   34 
 man/basic_critic.Rd                                                                       |   60 
 man/basic_generator.Rd                                                                    |   58 
 man/bb_pad.Rd                                                                             |   38 
 man/blurr.Rd                                                                              |   40 
 man/bs_find.Rd                                                                            |   70 
 man/bs_finder.Rd                                                                          |   28 
 man/bt.Rd                                                                                 |   28 
 man/calculate_rouge.Rd                                                                    |   56 
 man/catalyst.Rd                                                                           |   28 
 man/catalyst_model.Rd                                                                     |   28 
 man/ceiling.fastai.torch_core.TensorMask.Rd                                               |   34 
 man/ceiling_.Rd                                                                           |   36 
 man/children_and_parameters.Rd                                                            |   34 
 man/clean_raw_keys.Rd                                                                     |   34 
 man/clip_remove_empty.Rd                                                                  |   38 
 man/cm.Rd                                                                                 |   28 
 man/cnn_config.Rd                                                                         |   98 
 man/cnn_learner.Rd                                                                        |  190 
 man/collab.Rd                                                                             |   28 
 man/collab_learner.Rd                                                                     |  186 
 man/colors.Rd                                                                             |   28 
 man/combined_flat_anneal.Rd                                                               |   44 
 man/competition_download_file.Rd                                                          |  104 
 man/competition_download_files.Rd                                                         |   62 
 man/competition_leaderboard_download.Rd                                                   |   42 
 man/competition_list_files.Rd                                                             |   54 
 man/competition_submit.Rd                                                                 |   46 
 man/competitions_list.Rd                                                                  |   62 
 man/convT_norm_relu.Rd                                                                    |   54 
 man/conv_norm_lr.Rd                                                                       |   98 
 man/cos.fastai.torch_core.TensorMask.Rd                                                   |   34 
 man/cos_.Rd                                                                               |   36 
 man/cosh.fastai.torch_core.TensorMask.Rd                                                  |   34 
 man/cosh_.Rd                                                                              |   36 
 man/crap.Rd                                                                               |   28 
 man/crappifier.Rd                                                                         |   56 
 man/create_body.Rd                                                                        |   52 
 man/create_cnn_model.Rd                                                                   |  110 
 man/create_fcn.Rd                                                                         |   50 
 man/create_head.Rd                                                                        |   80 
 man/create_inception.Rd                                                                   |   74 
 man/create_mlp.Rd                                                                         |   44 
 man/create_resnet.Rd                                                                      |   62 
 man/create_unet_model.Rd                                                                  |  122 
 man/custom_loss.Rd                                                                        |   28 
 man/cutout_gaussian.Rd                                                                    |   38 
 man/cycle_learner.Rd                                                                      |   90 
 man/dataloaders.Rd                                                                        |   52 
 man/dcmread.Rd                                                                            |   58 
 man/debias.Rd                                                                             |   42 
 man/decision_plot.Rd                                                                      |   56 
 man/decode_spec_tokens.Rd                                                                 |   34 
 man/default_split.Rd                                                                      |   34 
 man/denormalize_imagenet.Rd                                                               |   34 
 man/densenet121.Rd                                                                        |   44 
 man/densenet161.Rd                                                                        |   44 
 man/densenet169.Rd                                                                        |   44 
 man/densenet201.Rd                                                                        |   44 
 man/dependence_plot.Rd                                                                    |   58 
 man/detuplify_pg.Rd                                                                       |   34 
 man/dicom_windows.Rd                                                                      |   28 
 man/dihedral_mat.Rd                                                                       |   46 
 man/dim.Rd                                                                                |   36 
 man/dim.fastai.torch_core.TensorMask.Rd                                                   |   34 
 man/discriminator.Rd                                                                      |   56 
 man/div.Rd                                                                                |   40 
 man/dropout_mask.Rd                                                                       |   42 
 man/dummy_eval.Rd                                                                         |   38 
 man/efficientdet_infer_dl.Rd                                                              |   42 
 man/efficientdet_learner.Rd                                                               |   48 
 man/efficientdet_model.Rd                                                                 |   46 
 man/efficientdet_predict_dl.Rd                                                            |   42 
 man/efficientdet_train_dl.Rd                                                              |   42 
 man/efficientdet_valid_dl.Rd                                                              |   42 
 man/emb_sz_rule.Rd                                                                        |   34 
 man/error_rate.Rd                                                                         |   64 
 man/exp.Rd                                                                                |   36 
 man/exp.fastai.torch_core.TensorMask.Rd                                                   |   34 
 man/exp_rmspe.Rd                                                                          |   38 
 man/expm1.Rd                                                                              |   36 
 man/expm1.fastai.torch_core.TensorMask.Rd                                                 |   34 
 man/export_generator.Rd                                                                   |   56 
 man/fView.Rd                                                                              |   34 
 man/fa_collate.Rd                                                                         |   34 
 man/fa_convert.Rd                                                                         |   34 
 man/fastai_version.Rd                                                                     |   28 
 man/fastaudio.Rd                                                                          |   28 
 man/faster_rcnn_infer_dl.Rd                                                               |   42 
 man/faster_rcnn_learner.Rd                                                                |   48 
 man/faster_rcnn_model.Rd                                                                  |   56 
 man/faster_rcnn_predict_dl.Rd                                                             |   42 
 man/faster_rcnn_train_dl.Rd                                                               |   42 
 man/faster_rcnn_valid_dl.Rd                                                               |   42 
 man/fastinf.Rd                                                                            |   28 
 man/find_coeffs.Rd                                                                        |   38 
 man/fine_tune.Rd                                                                          |   82 
 man/fit.fastai.learner.Learner.Rd                                                         |   40 
 man/fit.fastai.tabular.learner.TabularLearner.Rd                                          |   38 
 man/fit.fastai.vision.gan.GANLearner.Rd                                                   |   54 
 man/fit_flat_cos.Rd                                                                       |   80 
 man/fit_flat_lin.Rd                                                                       |   90 
 man/fit_one_cycle.Rd                                                                      |   38 
 man/fit_sgdr.Rd                                                                           |   80 
 man/fix_fit.Rd                                                                            |   34 
 man/fix_html.Rd                                                                           |   34 
 man/flatten_check.Rd                                                                      |   38 
 man/flatten_model.Rd                                                                      |   34 
 man/flip_mat.Rd                                                                           |   46 
 man/float.Rd                                                                              |   34 
 man/floor.fastai.torch_core.TensorMask.Rd                                                 |   34 
 man/floor_.Rd                                                                             |   36 
 man/floor_div.Rd                                                                          |   40 
 man/floor_mod.Rd                                                                          |   40 
 man/fmodule.Rd                                                                            |   40 
 man/force_plot.Rd                                                                         |   46 
 man/foreground_acc.Rd                                                                     |   46 
 man/forget_mult_CPU.Rd                                                                    |   50 
 man/freeze.Rd                                                                             |   48 
 man/gan_critic.Rd                                                                         |   46 
 man/gan_loss_from_func.Rd                                                                 |   42 
 man/gauss_blur2d.Rd                                                                       |   38 
 man/generate_noise.Rd                                                                     |   54 
 man/get_annotations.Rd                                                                    |   38 
 man/get_audio_files.Rd                                                                    |   42 
 man/get_bias.Rd                                                                           |   64 
 man/get_c.Rd                                                                              |   50 
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 man/get_dicom_files.Rd                                                                    |   62 
 man/get_dls.Rd                                                                            |   88 
 man/get_emb_sz.Rd                                                                         |   38 
 man/get_files.Rd                                                                          |   62 
 man/get_grid.Rd                                                                           |   86 
 man/get_hf_objects.Rd                                                                     |   44 
 man/get_image_files.Rd                                                                    |   70 
 man/get_language_model.Rd                                                                 |   46 
 man/get_preds_cyclegan.Rd                                                                 |   70 
 man/get_text_classifier.Rd                                                                |   98 
 man/get_text_files.Rd                                                                     |   42 
 man/get_weights.Rd                                                                        |   64 
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 man/grayscale.Rd                                                                          |   34 
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 man/greater_or_equal.Rd                                                                   |   40 
 man/has_params.Rd                                                                         |   34 
 man/has_pool_type.Rd                                                                      |   34 
 man/helper.Rd                                                                             |   28 
 man/hf_splitter.Rd                                                                        |   34 
 man/hook_output.Rd                                                                        |   46 
 man/hook_outputs.Rd                                                                       |   46 
 man/hsv2rgb.Rd                                                                            |   34 
 man/hug.Rd                                                                                |   28 
 man/icevision.Rd                                                                          |   28 
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 man/icevision_CLAHE.Rd                                                                    |   76 
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 man/icevision_ChannelShuffle.Rd                                                           |   58 
 man/icevision_ClassMap.Rd                                                                 |   38 
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 man/icevision_ColorJitter.Rd                                                              |   78 
 man/icevision_Compose.Rd                                                                  |   62 
 man/icevision_Crop.Rd                                                                     |   82 
 man/icevision_CropNonEmptyMaskIfExists.Rd                                                 |   88 
 man/icevision_Cutout.Rd                                                                   |   98 
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 man/icevision_Dataset_from_images.Rd                                                      |   42 
 man/icevision_Downscale.Rd                                                                |   82 
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 man/icevision_FixedSplitter.Rd                                                            |   34 
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 man/icevision_GridDropout.Rd                                                              |  134 
 man/icevision_HistogramMatching.Rd                                                        |  104 
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 man/icevision_MaskDropout.Rd                                                              |   70 
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 man/icevision_RandomContrast.Rd                                                           |   62 
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 man/icevision_RandomCropNearBBox.Rd                                                       |   62 
 man/icevision_RandomFog.Rd                                                                |   88 
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 man/icevision_RandomResizedCrop.Rd                                                        |   94 
 man/icevision_RandomRotate90.Rd                                                           |   58 
 man/icevision_RandomScale.Rd                                                              |   76 
 man/icevision_RandomShadow.Rd                                                             |   94 
 man/icevision_RandomSizedBBoxSafeCrop.Rd                                                  |  126 
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 man/icevision_Solarize.Rd                                                                 |   62 
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 man/icevision_ToGray.Rd                                                                   |   60 
 man/icevision_ToSepia.Rd                                                                  |   58 
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 man/larc_step.Rd                                                                          |   46 
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 man/length.fastai.torch_core.TensorMask.Rd                                                |   34 
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 man/less_or_equal.Rd                                                                      |   40 
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 man/load_ignore_keys.Rd                                                                   |   38 
 man/load_image.Rd                                                                         |   38 
 man/load_learner.Rd                                                                       |   38 
 man/load_model_text.Rd                                                                    |   68 
 man/load_pre_models.Rd                                                                    |   28 
 man/load_tokenized_csv.Rd                                                                 |   34 
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 man/log.Rd                                                                                |   40 
 man/log.fastai.torch_core.TensorMask.Rd                                                   |   38 
 man/log1p.Rd                                                                              |   36 
 man/log1p.fastai.torch_core.TensorMask.Rd                                                 |   34 
 man/logical_and.Rd                                                                        |   40 
 man/logical_not_.Rd                                                                       |   36 
 man/logical_or.Rd                                                                         |   40 
 man/login.Rd                                                                              |   50 
 man/lr_find.Rd                                                                            |   88 
 man/mae.Rd                                                                                |   38 
 man/make_vocab.Rd                                                                         |   46 
 man/mask2bbox.Rd                                                                          |   38 
 man/mask_eq.Rd                                                                            |   38 
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 man/mask_rcnn_infer_dl.Rd                                                                 |   42 
 man/mask_rcnn_learner.Rd                                                                  |   48 
 man/mask_rcnn_model.Rd                                                                    |   56 
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 man/mask_rcnn_train_dl.Rd                                                                 |   42 
 man/mask_rcnn_valid_dl.Rd                                                                 |   42 
 man/mask_tensor.Rd                                                                        |   46 
 man/masked_concat_pool.Rd                                                                 |   42 
 man/match_embeds.Rd                                                                       |   42 
 man/max.Rd                                                                                |   44 
 man/max.fastai.torch_core.TensorMask.Rd                                                   |   42 
 man/maybe_unsqueeze.Rd                                                                    |   34 
 man/mean.fastai.torch_core.TensorMask.Rd                                                  |   38 
 man/mean.torch.Tensor.Rd                                                                  |   38 
 man/medical.Rd                                                                            |   28 
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 man/migrating_pytorch.Rd                                                                  |   28 
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 man/min.fastai.torch_core.TensorMask.Rd                                                   |   42 
 man/mish.Rd                                                                               |   34 
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 man/momentum_step.Rd                                                                      |   46 
 man/most_confused.Rd                                                                      |   40 
 man/mse.Rd                                                                                |   58 
 man/msle.Rd                                                                               |   38 
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 man/n_px.Rd                                                                               |   34 
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 man/nn.Rd                                                                                 |   28 
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 man/nn_module.Rd                                                                          |   42 
 man/noop.Rd                                                                               |   34 
 man/norm_apply_denorm.Rd                                                                  |   42 
 man/not__mask.Rd                                                                          |   36 
 man/not_equal_to.Rd                                                                       |   40 
 man/not_equal_to_mask_.Rd                                                                 |   40 
 man/num_features_model.Rd                                                                 |   34 
 man/one_batch.Rd                                                                          |   62 
 man/optim_metric.Rd                                                                       |   54 
 man/or_mask.Rd                                                                            |   40 
 man/os.Rd                                                                                 |   28 
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 man/pad_input.Rd                                                                          |   62 
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 man/parallel_tokenize.Rd                                                                  |   46 
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 man/parent_label.Rd                                                                       |   34 
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 man/parsers_BBoxesMixin.Rd                                                                |   34 
 man/parsers_FasterRCNN.Rd                                                                 |   34 
 man/parsers_FilepathMixin.Rd                                                              |   34 
 man/parsers_ImageidMixin.Rd                                                               |   34 
 man/parsers_IsCrowdsMixin.Rd                                                              |   34 
 man/parsers_LabelsMixin.Rd                                                                |   34 
 man/parsers_MaskRCNN.Rd                                                                   |   34 
 man/parsers_MasksMixin.Rd                                                                 |   34 
 man/parsers_SizeMixin.Rd                                                                  |   34 
 man/parsers_voc.Rd                                                                        |   46 
 man/partial.Rd                                                                            |   56 
 man/pca.Rd                                                                                |   42 
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 man/plot_bs_find.Rd                                                                       |   42 
 man/plot_confusion_matrix.Rd                                                              |  106 
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 man/plot_lr_find.Rd                                                                       |   44 
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 man/pow.Rd                                                                                |   40 
 man/pre_process_squad.Rd                                                                  |   42 
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 man/preplexity.Rd                                                                         |   34 
 man/preprocess_audio_folder.Rd                                                            |   68 
 man/print.fastai.learner.Learner.Rd                                                       |   38 
 man/print.fastai.tabular.learner.TabularLearner.Rd                                        |   38 
 man/print.pydicom.dataset.FileDataset.Rd                                                  |   38 
 man/py_apply.Rd                                                                           |   38 
 man/python_path.Rd                                                                        |   28 
 man/qhadam_step.Rd                                                                        |   74 
 man/radam_step.Rd                                                                         |   70 
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 man/replace_maj.Rd                                                                        |   34 
 man/replace_rep.Rd                                                                        |   34 
 man/replace_wrep.Rd                                                                       |   34 
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 man/reshape.Rd                                                                            |   46 
 man/resize_max.Rd                                                                         |   50 
 man/resnet101.Rd                                                                          |   44 
 man/resnet152.Rd                                                                          |   44 
 man/resnet18.Rd                                                                           |   44 
 man/resnet34.Rd                                                                           |   44 
 man/resnet50.Rd                                                                           |   44 
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 man/retinanet_.Rd                                                                         |   28 
 man/reverse_text.Rd                                                                       |   34 
 man/rgb2hsv.Rd                                                                            |   40 
 man/rm_useless_spaces.Rd                                                                  |   52 
 man/rms_prop_step.Rd                                                                      |   54 
 man/rmse.Rd                                                                               |   58 
 man/rotate_mat.Rd                                                                         |   50 
 man/round.Rd                                                                              |   40 
 man/round.fastai.torch_core.TensorMask.Rd                                                 |   38 
 man/sequential.Rd                                                                         |   34 
 man/set_freeze_model.Rd                                                                   |   38 
 man/set_item_pg.Rd                                                                        |   42 
 man/setup_aug_tfms.Rd                                                                     |   34 
 man/sgd_step.Rd                                                                           |   88 
 man/shap.Rd                                                                               |   28 
 man/shape.Rd                                                                              |   34 
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 man/show_batch.Rd                                                                         |  104 
 man/show_image.Rd                                                                         |  110 
 man/show_images.Rd                                                                        |   74 
 man/show_preds.Rd                                                                         |   98 
 man/show_results.Rd                                                                       |   74 
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 man/sigmoid_.Rd                                                                           |   38 
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 man/sin_.Rd                                                                               |   36 
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 man/sub_mask.Rd                                                                           |   40 
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 man/swish.Rd                                                                              |   38 
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 man/tensor_eq.Rd                                                                          |   38 
 man/tensor_eq_img.Rd                                                                      |   38 
 man/test_loader.Rd                                                                        |   38 
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 man/times-.fastai.torch_core.TensorMask.Rd                                                |   38 
 man/timm.Rd                                                                               |   28 
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 man/win_liver.Rd                                                                          |   28 
 man/win_lungs.Rd                                                                          |   28 
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 man/xla.Rd                                                                                |   28 
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 man/xresnet34.Rd                                                                          |   34 
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 man/xresnet50.Rd                                                                          |   34 
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 man/xresnext101.Rd                                                                        |   34 
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 man/xresnext34.Rd                                                                         |   34 
 man/xresnext50.Rd                                                                         |   34 
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 man/xsenet154.Rd                                                                          |   34 
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 tests/testthat/test-text.R                                                                |   52 
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 tests/testthat/utils.R                                                                    |   76 
 vignettes/Basic_Tabular.Rmd                                                               |  426 
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Package DanielBiostatistics10th updated to version 0.2.0 with previous version 0.1.11 dated 2024-04-03

Title: Functions for Wayne W. Daniel's Biostatistics, Tenth Edition
Description: Functions to accompany Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences, Tenth Edition.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package r5r updated to version 2.0 with previous version 1.1.0 dated 2023-08-08

Title: Rapid Realistic Routing with 'R5'
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks engine <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine. While R5 is developed by Conveyal, the package r5r is independently developed by a team at the Institute for Applied Economic Research (Ipea) with contributions from collaborators. Apart from the documentation in this package, users will find additional information on R5 documentation at <https://docs.conveyal.com/>. Although we try to keep new releases of r5r in synchrony with R5, the development of R5 follows Conveyal's independent update process. Hence, users should confirm the R5 version implied by the Conveyal user manual (see <https://docs.conveyal.com/changelog>) corresponds with the R5 ver [...truncated...]
Author: Marcus Saraiva [aut] , Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Carlos Kaue Vieira Braga [aut] , Matthew Wigginton Bhagat-Conway [aut] , Luyu Liu [ctb] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package PatientProfiles updated to version 0.8.0 with previous version 0.7.0 dated 2024-03-28

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [ctb] , Xintong Li [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package Directional updated to version 6.6 with previous version 6.5 dated 2024-02-29

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). "An elliptically symmetric angular Gaussian distribution". Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). "Comparison of discriminant analysis methods on the sphere". Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). "Spherical regression models with general covariates and anisotropic errors". Statistics and Computing 30(1): 153--165. <d [...truncated...]
Author: Michail Tsagris, Giorgos Athineou, Christos Adam, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 6.5 dated 2024-02-29 and 6.6 dated 2024-04-11

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Package asremlPlus updated to version 4.4.32 with previous version 4.4.27 dated 2024-02-05

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between asremlPlus versions 4.4.27 dated 2024-02-05 and 4.4.32 dated 2024-04-11

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Package ape updated to version 5.8 with previous version 5.7-1 dated 2023-03-13

Title: Analyses of Phylogenetics and Evolution
Description: Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results [...truncated...]
Author: Emmanuel Paradis [aut, cre, cph] , Simon Blomberg [aut, cph] , Ben Bolker [aut, cph] , Joseph Brown [aut, cph] , Santiago Claramunt [aut, cph] , Julien Claude [aut, cph] , Hoa Sien Cuong [aut, cph], Richard Desper [aut, cph], Gilles Didier [aut, cph] [...truncated...]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

Diff between ape versions 5.7-1 dated 2023-03-13 and 5.8 dated 2024-04-11

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New package sgboost with initial version 0.1.0
Package: sgboost
Title: Sparse-Group Boosting
Version: 0.1.0
Description: Sparse-group boosting to be used in conjunction with the 'mboost' for modeling grouped data. Applicable to all sparse-group lasso type problems where within-group and between-group sparsity is desired. Interprets and visualizes individual variables and groups.
Imports: dplyr, mboost, stringr, rlang, tibble, ggplot2, ggforce
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/FabianObster/sgboost
BugReports: https://github.com/FabianObster/sgboost/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-10 20:03:03 UTC; fabia
Author: Fabian Obster [aut, cre, cph]
Maintainer: Fabian Obster <fabian.obster@unibw.de>
Repository: CRAN
Date/Publication: 2024-04-11 11:20:02 UTC

More information about sgboost at CRAN
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New package SBI with initial version 0.1.0
Package: SBI
Title: Simple Blinding Index for Randomized Controlled Trials
Version: 0.1.0
Description: Computes a simple blinding index for randomized controlled trials introduced in the paper "A simple blinding index for randomized controlled trials" by Petroff, Bacak, Dagres, Dilk and Wachter, which has been submitted for publication.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-11 06:37:21 UTC; mir8629bac
Author: David Petroff [aut, cre, cph], Miroslav Bacak [aut, cph]
Maintainer: David Petroff <david.petroff@zks.uni-leipzig.de>
Repository: CRAN
Date/Publication: 2024-04-11 11:30:03 UTC

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Package GeoModels updated to version 2.0.1 with previous version 2.0.0 dated 2024-04-09

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 2.0.0 dated 2024-04-09 and 2.0.1 dated 2024-04-11

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New package alien with initial version 1.0.1
Package: alien
Title: Estimate Invasive and Alien Species (IAS) Introduction Rates
Version: 1.0.1
Description: Easily estimate the introduction rates of alien species given first records data. It specializes in addressing the role of sampling on the pattern of discoveries, thus providing better estimates than using Generalized Linear Models which assume perfect immediate detection of newly introduced species.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, ggplot2, HelpersMG, rlang, stats, tidyr
Depends: R (>= 3.4.0)
LazyData: true
Suggests: BH, knitr, purrr, Rcpp, RcppEigen, RcppParallel, rmarkdown, rstan, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-11 10:45:40 UTC; eze36
Author: Yehezkel Buba [aut, cre, cph]
Maintainer: Yehezkel Buba <hezibuba@mail.tau.ac.il>
Repository: CRAN
Date/Publication: 2024-04-11 11:50:02 UTC

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Package evsim updated to version 1.5.0 with previous version 1.4.0 dated 2024-03-14

Title: Electric Vehicle Charging Sessions Simulation
Description: Simulation of Electric Vehicles charging sessions using Gaussian models, together with time-series power demand calculations. The simulation methodology is published in Cañigueral et al. (2023, ISBN:0957-4174) <doi:10.1016/j.eswa.2023.120318>.
Author: Marc Canigueral [aut, cre]
Maintainer: Marc Canigueral <marc.canigueral@udg.edu>

Diff between evsim versions 1.4.0 dated 2024-03-14 and 1.5.0 dated 2024-04-11

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Package butcher updated to version 0.3.4 with previous version 0.3.3 dated 2023-08-22

Title: Model Butcher
Description: Provides a set of S3 generics to axe components of fitted model objects and help reduce the size of model objects saved to disk.
Author: Joyce Cahoon [aut] , Davis Vaughan [aut], Max Kuhn [aut], Alex Hayes [aut], Julia Silge [cre, aut] , Posit, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package rhub updated to version 2.0.0 with previous version 1.1.2 dated 2022-08-31

Title: Tools for R Package Developers
Description: R-hub v2 uses GitHub Actions to run 'R CMD check' and similar package checks. The 'rhub' package helps you set up R-hub v2 for your R package, and start running checks.
Author: Gabor Csardi [aut, cre], Maelle Salmon [aut] , R Consortium [fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package text2map updated to version 0.2.0 with previous version 0.1.9 dated 2024-03-12

Title: R Tools for Text Matrices, Embeddings, and Networks
Description: This is a collection of functions optimized for working with with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a 'Matrix' package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.
Author: Dustin Stoltz [aut, cre] , Marshall Taylor [aut]
Maintainer: Dustin Stoltz <dss219@lehigh.edu>

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Package SticsRFiles updated to version 1.3.0 with previous version 1.2.0 dated 2024-02-23

Title: Read and Modify 'STICS' Input/Output Files
Description: Manipulating input and output files of the 'STICS' crop model. Files are either 'JavaSTICS' XML files or text files used by the model 'fortran' executable. Most basic functionalities are reading or writing parameter names and values in both XML or text input files, and getting data from output files. Advanced functionalities include XML files generation from XML templates and/or spreadsheets, or text files generation from XML files by using 'xslt' transformation.
Author: Patrice Lecharpentier [aut, cre] , Remi Vezy [aut] , Samuel Buis [aut] , Michel Giner [aut] , Timothee Flutre [ctb], Thomas Robine [ctb], Amine Barkaoui [ctb], Patrick Chabrier [ctb], Julie Constantin [rev], Dominique Ripoche [rev], Marie Launay [rev [...truncated...]
Maintainer: Patrice Lecharpentier <patrice.lecharpentier@inrae.fr>

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Package stevedata updated to version 1.2.0 with previous version 1.1.0 dated 2023-10-25

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>

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Package SimDesign updated to version 2.15 with previous version 2.14 dated 2024-01-09

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 Ronkko [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package seededlda updated to version 1.2.1 with previous version 1.2.0 dated 2024-04-10

Title: Seeded Sequential LDA for Topic Modeling
Description: Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package quanteda.textmodels updated to version 0.9.7 with previous version 0.9.6 dated 2023-03-22

Title: Scaling Models and Classifiers for Textual Data
Description: Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, 'Wordscores' model, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model, and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish' model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Patrick O. Perry [aut] , Benjamin Lauderdale [aut] , Johannes Gruber [aut] , William Lowe [aut] , Vikas Sindhwani [cph] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package matrixStats updated to version 1.3.0 with previous version 1.2.0 dated 2023-12-11

Title: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Author: Henrik Bengtsson [aut, cre, cph], Constantin Ahlmann-Eltze [ctb], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Jan Gleixner [ctb], Peter Hickey [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Brian M [...truncated...]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package mirai updated to version 0.13.2 with previous version 0.12.1 dated 2024-02-02

Title: Minimalist Async Evaluation Framework for R
Description: Lightweight parallel code execution and distributed computing. Designed for simplicity, a 'mirai' evaluates an R expression asynchronously, on local or network resources, resolving automatically upon completion. State of the art networking and concurrency via 'nanonext' and 'NNG' (Nanomsg Next Gen) offers reliable and efficient scheduling over fast inter-process communications or TCP/IP secured by TLS.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package renv updated to version 1.0.6 with previous version 1.0.5 dated 2024-02-28

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.0.5 dated 2024-02-28 and 1.0.6 dated 2024-04-11

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