Title: Robust Generalized Linear Models (GLM) using Mixtures
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken@kjbeath.id.au>
Diff between robmixglm versions 1.2-4 dated 2024-09-27 and 1.2-5 dated 2025-10-31
DESCRIPTION | 8 ++++---- MD5 | 22 +++++++++++----------- R/RcppExports.R | 38 +++++++++++++++++++------------------- R/binomial.fit.robmixglm.R | 4 +--- R/fitnegbin.R | 2 +- R/gamma.fit.robmixglm.R | 3 +-- R/gaussian.fit.robmixglm.R | 3 +-- R/nbinom.fit.robmixglm.R | 3 ++- R/poisson.fit.robmixglm.R | 9 ++++++--- R/truncpoisson.fit.robmixglm.R | 4 +--- build/vignette.rds |binary inst/NEWS | 4 ++++ 12 files changed, 51 insertions(+), 49 deletions(-)
Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation
models via the most likely transformation approach described in
Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020)
<DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>)
and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models
are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and
more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between mlt versions 1.7-0 dated 2025-10-19 and 1.7-1 dated 2025-10-31
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/R.R | 7 +++---- inst/NEWS.Rd | 9 +++++++++ 4 files changed, 19 insertions(+), 11 deletions(-)
Title: Deep Learning with 'mlr3'
Description: Deep Learning library that extends the mlr3 framework by building
upon the 'torch' package. It allows to conveniently build, train,
and evaluate deep learning models without having to worry about low level
details. Custom architectures can be created using the graph language
defined in 'mlr3pipelines'.
Author: Sebastian Fischer [cre, aut] ,
Bernd Bischl [ctb] ,
Lukas Burk [ctb] ,
Martin Binder [aut],
Florian Pfisterer [ctb] ,
Carson Zhang [ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>
Diff between mlr3torch versions 0.3.1 dated 2025-08-26 and 0.3.2 dated 2025-10-31
DESCRIPTION | 14 - MD5 | 234 ++++++++++++++--------------- NEWS.md | 9 + R/PipeOpTorchActivation.R | 4 R/PipeOpTorchConv.R | 4 R/PipeOpTorchConvTranspose.R | 4 R/PipeOpTorchMaxPool.R | 2 R/TorchOptimizer.R | 6 R/cache.R | 2 R/learner_torch_methods.R | 3 R/zzz.R | 1 man/DataDescriptor.Rd | 2 man/TorchCallback.Rd | 2 man/TorchIngressToken.Rd | 2 man/TorchLoss.Rd | 2 man/TorchOptimizer.Rd | 2 man/as_data_descriptor.Rd | 2 man/as_lazy_tensor.Rd | 2 man/cross_entropy.Rd | 2 man/lazy_shape.Rd | 2 man/lazy_tensor.Rd | 2 man/materialize.Rd | 2 man/mlr3torch_callbacks.Rd | 2 man/mlr3torch_losses.Rd | 2 man/mlr3torch_optimizers.Rd | 2 man/mlr_backends_lazy.Rd | 2 man/mlr_callback_set.checkpoint.Rd | 2 man/mlr_callback_set.history.Rd | 2 man/mlr_callback_set.progress.Rd | 2 man/mlr_callback_set.unfreeze.Rd | 2 man/mlr_learners.ft_transformer.Rd | 2 man/mlr_learners.mlp.Rd | 2 man/mlr_learners.module.Rd | 2 man/mlr_learners.tab_resnet.Rd | 2 man/mlr_learners.torch_featureless.Rd | 2 man/mlr_learners_torch_model.Rd | 2 man/mlr_pipeops_module.Rd | 2 man/mlr_pipeops_nn_adaptive_avg_pool1d.Rd | 2 man/mlr_pipeops_nn_adaptive_avg_pool2d.Rd | 2 man/mlr_pipeops_nn_adaptive_avg_pool3d.Rd | 2 man/mlr_pipeops_nn_avg_pool1d.Rd | 2 man/mlr_pipeops_nn_avg_pool2d.Rd | 2 man/mlr_pipeops_nn_avg_pool3d.Rd | 2 man/mlr_pipeops_nn_batch_norm1d.Rd | 2 man/mlr_pipeops_nn_batch_norm2d.Rd | 2 man/mlr_pipeops_nn_batch_norm3d.Rd | 2 man/mlr_pipeops_nn_block.Rd | 2 man/mlr_pipeops_nn_celu.Rd | 2 man/mlr_pipeops_nn_conv1d.Rd | 6 man/mlr_pipeops_nn_conv2d.Rd | 6 man/mlr_pipeops_nn_conv3d.Rd | 6 man/mlr_pipeops_nn_conv_transpose1d.Rd | 7 man/mlr_pipeops_nn_conv_transpose2d.Rd | 7 man/mlr_pipeops_nn_conv_transpose3d.Rd | 7 man/mlr_pipeops_nn_dropout.Rd | 2 man/mlr_pipeops_nn_elu.Rd | 2 man/mlr_pipeops_nn_flatten.Rd | 2 man/mlr_pipeops_nn_fn.Rd | 2 man/mlr_pipeops_nn_ft_cls.Rd | 2 man/mlr_pipeops_nn_ft_transformer_block.Rd | 2 man/mlr_pipeops_nn_geglu.Rd | 2 man/mlr_pipeops_nn_gelu.Rd | 2 man/mlr_pipeops_nn_glu.Rd | 2 man/mlr_pipeops_nn_hardshrink.Rd | 2 man/mlr_pipeops_nn_hardsigmoid.Rd | 2 man/mlr_pipeops_nn_hardtanh.Rd | 2 man/mlr_pipeops_nn_head.Rd | 2 man/mlr_pipeops_nn_identity.Rd | 2 man/mlr_pipeops_nn_layer_norm.Rd | 2 man/mlr_pipeops_nn_leaky_relu.Rd | 4 man/mlr_pipeops_nn_linear.Rd | 2 man/mlr_pipeops_nn_log_sigmoid.Rd | 2 man/mlr_pipeops_nn_max_pool1d.Rd | 4 man/mlr_pipeops_nn_max_pool2d.Rd | 4 man/mlr_pipeops_nn_max_pool3d.Rd | 4 man/mlr_pipeops_nn_merge_cat.Rd | 2 man/mlr_pipeops_nn_merge_prod.Rd | 2 man/mlr_pipeops_nn_merge_sum.Rd | 2 man/mlr_pipeops_nn_prelu.Rd | 2 man/mlr_pipeops_nn_reglu.Rd | 2 man/mlr_pipeops_nn_relu.Rd | 2 man/mlr_pipeops_nn_relu6.Rd | 2 man/mlr_pipeops_nn_reshape.Rd | 2 man/mlr_pipeops_nn_rrelu.Rd | 2 man/mlr_pipeops_nn_selu.Rd | 2 man/mlr_pipeops_nn_sigmoid.Rd | 2 man/mlr_pipeops_nn_softmax.Rd | 2 man/mlr_pipeops_nn_softplus.Rd | 2 man/mlr_pipeops_nn_softshrink.Rd | 2 man/mlr_pipeops_nn_softsign.Rd | 2 man/mlr_pipeops_nn_squeeze.Rd | 2 man/mlr_pipeops_nn_tanh.Rd | 2 man/mlr_pipeops_nn_tanhshrink.Rd | 2 man/mlr_pipeops_nn_threshold.Rd | 4 man/mlr_pipeops_nn_tokenizer_categ.Rd | 2 man/mlr_pipeops_nn_tokenizer_num.Rd | 2 man/mlr_pipeops_nn_unsqueeze.Rd | 2 man/mlr_pipeops_preproc_torch.Rd | 2 man/mlr_pipeops_torch.Rd | 2 man/mlr_pipeops_torch_callbacks.Rd | 2 man/mlr_pipeops_torch_ingress_categ.Rd | 2 man/mlr_pipeops_torch_ingress_ltnsr.Rd | 2 man/mlr_pipeops_torch_ingress_num.Rd | 2 man/mlr_pipeops_torch_loss.Rd | 2 man/mlr_pipeops_torch_model_classif.Rd | 2 man/mlr_pipeops_torch_model_regr.Rd | 2 man/mlr_pipeops_torch_optimizer.Rd | 2 man/mlr_tasks_lazy_iris.Rd | 2 man/nn_geglu.Rd | 2 man/nn_graph.Rd | 2 man/nn_reglu.Rd | 2 man/pipeop_preproc_torch.Rd | 2 man/t_clbk.Rd | 2 man/t_loss.Rd | 4 man/t_opt.Rd | 4 man/task_dataset.Rd | 2 man/torch_callback.Rd | 2 tests/testthat/test_CallbackSetTB.R | 3 118 files changed, 275 insertions(+), 264 deletions(-)
Title: Algorithms and Tools for Tabular Statistics and Hierarchical
Computations
Description: Includes general data manipulation functions, algorithms for statistical disclosure control (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6> and functions for hierarchical computations by sparse model matrices (Langsrud, 2023) <doi:10.32614/RJ-2023-088>.
Author: Oeyvind Langsrud [aut, cre] ,
Daniel Lupp [aut] ,
Bjoern-Helge Mevik [ctb],
Vidar Norstein Klungre [rev] ,
Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>
Diff between SSBtools versions 1.8.2 dated 2025-09-19 and 1.8.4 dated 2025-10-31
DESCRIPTION | 8 ++--- MD5 | 13 +++++--- NAMESPACE | 2 + NEWS.md | 7 ++++ R/SSBtoolsData.R | 76 ++++++++++++++++++++++++++++++++++++++++++++++++ R/diff_groups.R |only man/SSBtoolsData.Rd | 10 ++++++ man/data_diff_groups.Rd |only man/diff_groups.Rd |only 9 files changed, 107 insertions(+), 9 deletions(-)
Title: Visualizations of High-Dimensional Data
Description: Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for tw [...truncated...]
Author: Michael Thrun [aut, cre, cph] ,
Felix Pape [aut, rev],
Onno Hansen-Goos [ctr, ctb],
Quirin Stier [ctb, rev] ,
Hamza Tayyab [ctr, ctb],
Luca Brinkmann [ctr, ctb],
Dirk Eddelbuettel [ctb],
Winston Chang [ctb],
Craig Varrichio [ctb],
Alfred Ultsch [dtc, [...truncated...]
Maintainer: Michael Thrun <m.thrun@gmx.net>
Diff between DataVisualizations versions 1.3.5 dated 2025-08-24 and 1.4.0 dated 2025-10-31
DataVisualizations-1.3.5/DataVisualizations/R/Choroplethmap.R |only DataVisualizations-1.3.5/DataVisualizations/data/ChoroplethPostalCodesAndAGS_Germany.rda |only DataVisualizations-1.3.5/DataVisualizations/man/ChoroplethPostalCodesAndAGS_Germany.Rd |only DataVisualizations-1.3.5/DataVisualizations/man/Choroplethmap.Rd |only DataVisualizations-1.3.5/DataVisualizations/src/c_quantile.cpp |only DataVisualizations-1.4.0/DataVisualizations/DESCRIPTION | 18 DataVisualizations-1.4.0/DataVisualizations/MD5 | 53 DataVisualizations-1.4.0/DataVisualizations/NAMESPACE | 175 DataVisualizations-1.4.0/DataVisualizations/NEWS |only DataVisualizations-1.4.0/DataVisualizations/R/MDplot.R | 1011 +- DataVisualizations-1.4.0/DataVisualizations/R/MDstrips.R |only DataVisualizations-1.4.0/DataVisualizations/R/Multiplot.R | 2 DataVisualizations-1.4.0/DataVisualizations/R/OpposingViolinBiclassPlot.R |only DataVisualizations-1.4.0/DataVisualizations/R/PDEstrip.R |only DataVisualizations-1.4.0/DataVisualizations/R/ParetoDensityEstimation.R | 22 DataVisualizations-1.4.0/DataVisualizations/R/ParetoRadius.R | 84 DataVisualizations-1.4.0/DataVisualizations/R/ParetoRadius_fast.R | 50 DataVisualizations-1.4.0/DataVisualizations/R/RcppExports.R | 58 DataVisualizations-1.4.0/DataVisualizations/R/order_features_hlp.R |only DataVisualizations-1.4.0/DataVisualizations/R/stat_pde_density.R | 4 DataVisualizations-1.4.0/DataVisualizations/build/partial.rdb |binary DataVisualizations-1.4.0/DataVisualizations/build/vignette.rds |binary DataVisualizations-1.4.0/DataVisualizations/inst/NEWS | 9 DataVisualizations-1.4.0/DataVisualizations/inst/doc/DataVisualizations.R | 274 DataVisualizations-1.4.0/DataVisualizations/inst/doc/DataVisualizations.html | 3881 +++++----- DataVisualizations-1.4.0/DataVisualizations/man/MAplot.Rd | 166 DataVisualizations-1.4.0/DataVisualizations/man/MDplot.Rd | 7 DataVisualizations-1.4.0/DataVisualizations/man/MDstrips.Rd |only DataVisualizations-1.4.0/DataVisualizations/man/OpposingViolinBiclassPlot.Rd |only DataVisualizations-1.4.0/DataVisualizations/man/PDEstrip.Rd |only DataVisualizations-1.4.0/DataVisualizations/man/ParetoRadius_fast.Rd | 4 DataVisualizations-1.4.0/DataVisualizations/man/stat_pde_density.Rd | 192 DataVisualizations-1.4.0/DataVisualizations/src/RcppExports.cpp | 25 DataVisualizations-1.4.0/DataVisualizations/src/dist1d.cpp |only DataVisualizations-1.4.0/DataVisualizations/src/quantileDist1d.cpp |only 35 files changed, 2955 insertions(+), 3080 deletions(-)
More information about DataVisualizations at CRAN
Permanent link
Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre],
Felipe R. P. Mansoldo [ctb],
Minjie Yao [ctb],
Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>
Diff between microeco versions 1.15.0 dated 2025-05-18 and 1.16.0 dated 2025-10-31
DESCRIPTION | 6 MD5 | 72 +++++----- R/data.R | 49 ++++--- R/help.R | 10 + R/microtable.R | 35 +++-- R/trans_abund.R | 117 ++++++++++++++-- R/trans_alpha.R | 132 +++++++++++-------- R/trans_diff.R | 18 +- R/trans_env.R | 16 +- R/trans_func.R | 265 +++++++++++++++++++++++++++----------- R/trans_network.R | 17 +- R/trans_norm.R | 13 + R/trans_venn.R | 51 ++++--- inst/CITATION | 16 ++ man/Tax4Fun2_KEGG.Rd | 5 man/dataset.Rd | 7 - man/env_data_16S.Rd | 5 man/fungi_func_FUNGuild.Rd | 5 man/fungi_func_FungalTraits.Rd | 5 man/microeco.Rd | 10 + man/microtable.Rd | 26 ++- man/otu_table_16S.Rd | 5 man/otu_table_ITS.Rd | 5 man/phylo_tree_16S.Rd | 5 man/prok_func_FAPROTAX.Rd | 9 - man/prok_func_NJC19_list.Rd | 9 - man/sample_info_16S.Rd | 5 man/sample_info_ITS.Rd | 5 man/taxonomy_table_16S.Rd | 5 man/taxonomy_table_ITS.Rd | 5 man/trans_abund.Rd | 29 +++- man/trans_diff.Rd | 18 +- man/trans_env.Rd | 10 + man/trans_func.Rd | 283 +++++++++++++++++++++++++++++------------ man/trans_network.Rd | 3 man/trans_norm.Rd | 6 man/trans_venn.Rd | 14 +- 37 files changed, 906 insertions(+), 390 deletions(-)
Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph],
Javier Luraschi [aut],
Dmitriy Selivanov [ctb],
Athos Damiani [ctb],
Christophe Regouby [ctb],
Krzysztof Joachimiak [ctb],
Hamada S. Badr [ctb],
Sebastian Fischer [ctb],
Maximilian Pichler [ctb],
RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between torch versions 0.16.1 dated 2025-10-16 and 0.16.2 dated 2025-10-31
DESCRIPTION | 8 ++-- MD5 | 18 +++++----- NAMESPACE | 3 + NEWS.md | 2 + R/install.R | 84 ++++++++++++++++++++++++++++++++++++-------------- R/nn-loss.R | 2 - R/package.R | 14 +++++++- build/partial.rdb |binary man/nn_aum_loss.Rd | 2 - man/nn_kl_div_loss.Rd | 2 - 10 files changed, 94 insertions(+), 41 deletions(-)
Title: Music Notation Syntax, Manipulation, Analysis and Transcription
in R
Description: Provides a music notation syntax and a collection of music
programming functions for generating, manipulating, organizing, and analyzing
musical information in R. Music syntax can be entered directly in character
strings, for example to quickly transcribe short pieces of music. The
package contains functions for directly performing various mathematical,
logical and organizational operations and musical transformations on special
object classes that facilitate working with music data and notation. The
same music data can be organized in tidy data frames for a familiar and
powerful approach to the analysis of large amounts of structured music data.
Functions are available for mapping seamlessly between these formats and
their representations of musical information. The package also provides an
API to 'LilyPond' (<https://lilypond.org/>) for transcribing musical
representations in R into tablature ("tabs") and sheet music. 'LilyPond' is
open source music engraving software for gener [...truncated...]
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <rpkgs@pm.me>
Diff between tabr versions 0.5.3 dated 2025-07-03 and 0.5.4 dated 2025-10-31
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 4 ++++ README.md | 6 +++--- build/vignette.rds |binary tests/testthat/test-music.R | 4 ++-- 6 files changed, 17 insertions(+), 13 deletions(-)
Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by
providing a high level interface to writing, styling and editing
worksheets.
Author: Jordan Mark Barbone [aut] ,
Jan Marvin Garbuszus [aut, cre],
Olivier Roy [ctb],
openxlsx authors [cph] ,
Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>
Diff between openxlsx2 versions 1.20 dated 2025-09-29 and 1.21 dated 2025-10-31
openxlsx2-1.20/openxlsx2/man/figures/lifecycle-archived.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-defunct.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-deprecated.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-experimental.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-maturing.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-questioning.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-retired.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-soft-deprecated.svg |only openxlsx2-1.20/openxlsx2/man/figures/lifecycle-stable.svg |only openxlsx2-1.21/openxlsx2/DESCRIPTION | 6 - openxlsx2-1.21/openxlsx2/MD5 | 31 +++------- openxlsx2-1.21/openxlsx2/NEWS.md | 10 +++ openxlsx2-1.21/openxlsx2/R/class-workbook-wrappers.R | 12 +++ openxlsx2-1.21/openxlsx2/R/helper-functions.R | 5 + openxlsx2-1.21/openxlsx2/R/wb_functions.R | 6 + openxlsx2-1.21/openxlsx2/inst/AUTHORS | 5 - openxlsx2-1.21/openxlsx2/man/wb_add_data_table.Rd | 4 - openxlsx2-1.21/openxlsx2/man/wb_add_formula.Rd | 8 ++ openxlsx2-1.21/openxlsx2/man/write_datatable.Rd | 4 - openxlsx2-1.21/openxlsx2/tests/testthat/test-date_time_conversion.R | 17 +++++ openxlsx2-1.21/openxlsx2/tests/testthat/test-helper-functions.R | 8 +- 21 files changed, 80 insertions(+), 36 deletions(-)
Title: Read, Write and Edit xlsx Files
Description: Simplifies the creation of Excel .xlsx files by providing a
high level interface to writing, styling and editing worksheets.
Through the use of 'Rcpp', read/write times are comparable to the
'xlsx' and 'XLConnect' packages with the added benefit of removing the
dependency on Java.
Author: Philipp Schauberger [aut],
Alexander Walker [aut],
Luca Braglia [ctb],
Joshua Sturm [ctb],
Jan Marvin Garbuszus [ctb, cre],
Jordan Mark Barbone [ctb] ,
David Zimmermann [ctb],
Reinhold Kainhofer [ctb]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>
Diff between openxlsx versions 4.2.8 dated 2025-01-25 and 4.2.8.1 dated 2025-10-31
DESCRIPTION | 13 +- MD5 | 16 +-- NEWS.md | 4 R/writeDataTable.R | 30 +++--- build/vignette.rds |binary inst/doc/Formatting.html | 4 inst/doc/Introduction.html | 180 +++++++++++++++++++------------------- man/writeDataTable.Rd | 4 tests/testthat/test-activeSheet.R | 2 9 files changed, 133 insertions(+), 120 deletions(-)
Title: Export 'grid' Graphics as SVG
Description: Functions to export graphics drawn with package grid to SVG
format. Additional functions provide access to SVG features that
are not available in standard R graphics, such as hyperlinks,
animation, filters, masks, clipping paths, and gradient and pattern fills.
Author: Paul Murrell [cre, aut],
Simon Potter [aut]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Diff between gridSVG versions 1.7-6 dated 2025-07-24 and 1.7-7 dated 2025-10-31
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- R/griddev.R | 6 ++++-- build/vignette.rds |binary inst/NEWS.Rd | 11 ++++++++++- inst/doc/animation.pdf |binary inst/doc/extensibility.pdf |binary inst/doc/gridSVG.pdf |binary 8 files changed, 24 insertions(+), 13 deletions(-)
Title: Import and Analyse Ego-Centered Network Data
Description: Tools for importing, analyzing and visualizing ego-centered
network data. Supports several data formats, including the export formats of
'EgoNet', 'EgoWeb 2.0' and 'openeddi'. An interactive (shiny) app for the
intuitive visualization of ego-centered networks is provided. Also included
are procedures for creating and visualizing Clustered Graphs
(Lerner 2008 <DOI:10.1109/PACIFICVIS.2008.4475458>).
Author: Till Krenz [aut, cre],
Pavel N. Krivitsky [aut],
Raffaele Vacca [aut],
Michal Bojanowski [aut] ,
Markus Gamper [ctb],
Andreas Herz [aut],
Christopher McCarty [ctb]
Maintainer: Till Krenz <egor@tillt.net>
Diff between egor versions 1.24.2 dated 2024-02-02 and 1.25.10 dated 2025-10-31
DESCRIPTION | 19 - MD5 | 93 +++--- NAMESPACE | 2 NEWS.md | 4 R/as_egor.R | 19 - R/as_igraph_network.R |only R/clustered.graphs.R | 16 - R/conversions.R | 301 -------------------- R/density.R | 6 R/dplyr_methods.R | 466 +++++++++----------------------- R/ego.design.R | 36 +- R/ego_constraint.R | 2 R/egor-package.R | 2 R/egor.R | 84 +++-- R/ei.R | 2 R/gss2004.R | 2 R/plot_ego_gram.R | 6 R/plot_ego_graph.R | 48 ++- R/plot_egor.R | 1 R/read.egonet.R | 11 R/subset.egor.R | 10 R/zzz.R | 8 build/partial.rdb |binary build/vignette.rds |binary inst/check_and_release.R | 7 inst/doc/egor_allbus.Rmd | 2 inst/doc/egor_allbus.html | 15 - inst/doc/qualtrics.html | 21 - inst/doc/using_egor.html | 47 +-- man/as_igraph.Rd | 12 man/as_tibble.egor.Rd | 6 man/ego_density.Rd | 6 man/ego_design.Rd | 20 + man/egor-package.Rd | 3 man/egor.Rd | 33 +- man/gss2004.Rd | 2 man/plot_egor.Rd | 3 man/rowlist.Rd | 4 man/subset.egor.Rd | 4 tests/testthat/test-as_egor.R | 7 tests/testthat/test-as_igraph_network.R |only tests/testthat/test-clustered_graphs.R | 11 tests/testthat/test-conversions.R | 112 ------- tests/testthat/test-ego_design.R | 58 +++ tests/testthat/test-plot_egor.R | 72 ++++ tests/testthat/test-qualtrics.R | 2 tests/testthat/test-rotate.R | 4 tests/testthat/test-summary_egor.R |only vignettes/egor_allbus.Rmd | 2 49 files changed, 607 insertions(+), 984 deletions(-)
Title: Generator of Main Scientific References
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained.
The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc.
The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity.
Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>.
Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
Author: Marcio Eustaquio [aut, cre]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>
Diff between bibliorefer versions 0.1.1 dated 2025-01-31 and 0.1.2 dated 2025-10-31
DESCRIPTION | 10 MD5 | 32 - R/ajust_pagin.R | 62 +- R/auxinf_autr.R | 126 ++--- R/crit_quant.R | 64 +-- R/example_database.R | 6 R/principal_lister.R | 148 +++---- R/produc_cientific.R | 52 +- R/tabel_gera.R | 62 +- inst/extdata/example_database.csv | 802 +++++++++++++++++++++++--------------- man/ajust_pagin.Rd | 2 man/auxinf_autr.Rd | 2 man/crit_quant.Rd | 2 man/example_database.Rd | 2 man/principal_lister.Rd | 4 man/produc_cientific.Rd | 2 man/tabel_gera.Rd | 2 17 files changed, 790 insertions(+), 590 deletions(-)
Title: A Collection of Statistical Tools for Biologists
Description: Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
Author: Ken Aho [aut, cre]
Maintainer: Ken Aho <kenaho1@gmail.com>
Diff between asbio versions 1.11 dated 2025-01-14 and 1.12-1 dated 2025-10-31
asbio-1.11/asbio/R/selftest_ttest_R.R |only asbio-1.12-1/asbio/DESCRIPTION | 12 asbio-1.12-1/asbio/MD5 | 51 +- asbio-1.12-1/asbio/NAMESPACE | 1 asbio-1.12-1/asbio/R/anm.ExpDesign.r | 3 asbio-1.12-1/asbio/R/anm.LV.r | 3 asbio-1.12-1/asbio/R/anm.ci.r | 3 asbio-1.12-1/asbio/R/anm.coin.r | 3 asbio-1.12-1/asbio/R/anm.cont.pdf.r | 3 asbio-1.12-1/asbio/R/anm.die.r | 3 asbio-1.12-1/asbio/R/anm.popgrowth.r | 10 asbio-1.12-1/asbio/R/anm.samp.design.R | 3 asbio-1.12-1/asbio/R/anm.transM.r | 3 asbio-1.12-1/asbio/R/loglik.exp.plot.r | 3 asbio-1.12-1/asbio/R/r.dist.r | 3 asbio-1.12-1/asbio/R/samp.dist.mech.r | 4 asbio-1.12-1/asbio/R/samp.dist.r | 2 asbio-1.12-1/asbio/R/see.mnom.tck.r | 2 asbio-1.12-1/asbio/R/see.power.r | 20 asbio-1.12-1/asbio/R/selftest.regdiag.R | 622 +++++++++++----------------- asbio-1.12-1/asbio/R/selftestANOVAdesign.R | 13 asbio-1.12-1/asbio/R/selftest_ttest_tck.R | 4 asbio-1.12-1/asbio/build/vignette.rds |binary asbio-1.12-1/asbio/inst/doc/ranefCov.pdf |binary asbio-1.12-1/asbio/inst/doc/simpson.pdf |binary asbio-1.12-1/asbio/inst/doc/typeISS_key.pdf |binary asbio-1.12-1/asbio/man/world.emissions.Rd | 3 27 files changed, 343 insertions(+), 431 deletions(-)
Title: 'ggplot2'-Based Tools for Visualising DNA Sequences and
Modifications
Description: Uses 'ggplot2' to visualise either (a) a single DNA/RNA sequence split across multiple lines, (b) multiple DNA/RNA sequences, each occupying a whole line, or (c) base modifications such as DNA methylation called by modified bases models in Dorado or Guppy. Functions starting with visualise_<something>() are the main plotting functions, and functions starting with extract_<something>() are key helper functions for reading files and reformatting data. Source code is available at <https://github.com/ejade42/ggDNAvis> and a full non-expert user guide is available at <https://ejade42.github.io/ggDNAvis/>.
Author: Evelyn Jade [aut, cre, cph]
Maintainer: Evelyn Jade <evelynjade42@gmail.com>
Diff between ggDNAvis versions 0.3.0 dated 2025-10-01 and 0.3.2 dated 2025-10-31
DESCRIPTION | 6 +- MD5 | 30 +++++----- NEWS.md | 10 +++ R/visualise_many_sequences.R | 1 R/visualise_methylation.R | 1 R/visualise_single_sequence.R | 1 tests/testthat/reference_images/sone_2019_f1_1_expanded_test_02.png |binary tests/testthat/reference_images/sone_2019_f1_1_expanded_test_04.png |binary tests/testthat/reference_images/sone_2019_f1_1_expanded_test_08.png |binary tests/testthat/reference_images/sone_2019_f1_1_expanded_test_10.jpg |binary tests/testthat/reference_images/sone_2019_f1_1_expanded_test_12.PNG |binary tests/testthat/reference_images/visualise_many_sequences_test_09.png |binary tests/testthat/reference_images/visualise_methylation_test_03.png |binary tests/testthat/test_plot_images/sone_2019_f1_1_expanded_test_02.png |binary tests/testthat/test_plot_images/visualise_many_sequences_test_09.png |binary tests/testthat/test_plot_images/visualise_methylation_test_03.png |binary 16 files changed, 31 insertions(+), 18 deletions(-)