Sun, 27 Oct 2024

Package sc2sc updated to version 0.0.1-14 with previous version 0.0.1-12 dated 2024-02-24

Title: Spatial Transfer of Statistics among Spanish Census Sections
Description: Transfers/imputes statistics among Spanish spatial polygons (census sections or postal code areas) from different moments in time (2001-2023) without need of spatial files, just linking statistics to the ID codes of the spatial units. The data available in the census sections of a partition/division (cartography) into force in a moment of time is transferred to the census sections of another partition/division employing the geometric approach (also known as areal weighting or polygon overlay). References: Goerlich (2022) <doi:10.12842/WPIVIE_0322>. Pavía and Cantarino (2017a, b) <doi:10.1111/gean.12112>, <doi:10.1016/j.apgeog.2017.06.021>. Pérez and Pavía (2024a, b) <doi:10.4995/CARMA2024.2024.17796>, <doi:10.38191/iirr-jorr.24.057>. Acknowledgements: The authors wish to thank Consellería de Educación, Universidades y Empleo, Generalitat Valenciana (grant AICO/2021/257), Ministerio de Economía e Innovación (grant PID2021-128228NB-I00) and Fundación Mapfre [...truncated...]
Author: Virgilio Perez [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package SplitSoftening updated to version 2.1-1 with previous version 2.1-0 dated 2021-10-08

Title: Softening Splits in Decision Trees
Description: Allows to produce and use classification trees with soft (probability) splits, as described in: Dvořák, J. (2019), <doi:10.1007/s00180-019-00867-1>.
Author: Jakub Dvorak [aut, cre]
Maintainer: Jakub Dvorak <JakubDvorak@email.cz>

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Package flextable updated to version 0.9.7 with previous version 0.9.6 dated 2024-05-05

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint' and R 'Grid Graphics'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package VisualizeSimon2Stage updated to version 0.1.6 with previous version 0.1.5 dated 2024-04-30

Title: Visualize Simon's Two-Stage Design
Description: To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package future.apply updated to version 1.11.3 with previous version 1.11.2 dated 2024-03-28

Title: Apply Function to Elements in Parallel using Futures
Description: Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework <doi:10.32614/RJ-2021-048>.
Author: Henrik Bengtsson [aut, cre, cph] , R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package DiscreteTests updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-16

Title: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests
Description: Provides vectorised functions for computing p-values of various common discrete statistical tests, as described e.g. in Agresti (2002) <doi:10.1002/0471249688>, including their distributions. Exact and approximate computation methods are provided. For exact p-values, several procedures of determining two-sided p-values are included, which are outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.
Author: Florian Junge [cre, aut] , Christina Kihn [aut], Sebastian Doehler [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package EBEN updated to version 5.2 with previous version 5.1 dated 2023-05-29

Title: Empirical Bayesian Elastic Net
Description: Provides the Empirical Bayesian Elastic Net for handling multicollinearity in generalized linear regression models. As a special case of the 'EBglmnet' package (also available on CRAN), this package encourages a grouping effects to select relevant variables and estimate the corresponding non-zero effects.
Author: Anhui Huang [aut, cre]
Maintainer: Anhui Huang <anhuihuang@gmail.com>

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Package agridat updated to version 1.24 with previous version 1.23 dated 2024-02-06

Title: Agricultural Datasets
Description: Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package sparseSEM updated to version 4.1 with previous version 4.0 dated 2023-08-09

Title: Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework
Description: Provides elastic net penalized maximum likelihood estimator for structural equation models (SEM). The package implements `lasso` and `elastic net` (l1/l2) penalized SEM and estimates the model parameters with an efficient block coordinate ascent algorithm that maximizes the penalized likelihood of the SEM. Hyperparameters are inferred from cross-validation (CV). A Stability Selection (STS) function is also available to provide accurate causal effect selection. The software achieves high accuracy performance through a `Network Generative Pre-trained Transformer` (Network GPT) Framework with two steps: 1) pre-trains the model to generate a complete (fully connected) graph; and 2) uses the complete graph as the initial state to fit the `elastic net` penalized SEM.
Author: Anhui Huang [aut, ctb, cre]
Maintainer: Anhui Huang <anhuihuang@gmail.com>

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Package dotgen updated to version 0.1.1 with previous version 0.1.0 dated 2020-11-16

Title: Gene-Set Analysis via Decorrelation by Orthogonal Transformation
Description: Decorrelates a set of summary statistics (i.e., Z-scores or P-values per SNP) via Decorrelation by Orthogonal Transformation (DOT) approach and performs gene-set analyses by combining transformed statistic values; operations are performed with algorithms that rely only on the association summary results and the linkage disequilibrium (LD). For more details on DOT and its power, see Olga (2020) <doi:10.1371/journal.pcbi.1007819>.
Author: Olga Vsevolozhskaya [aut] , Dmitri Zaykin [aut] , Xiaoran Tong [aut, cre]
Maintainer: Xiaoran Tong <xt@uky.edu>

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Package chisquare updated to version 1.1.1 with previous version 1.1 dated 2024-10-26

Title: Chi-Square and G-Square Test of Independence, Power and Residual Analysis, Measures of Categorical Association
Description: Provides the facility to perform the chi-square and G-square test of independence, calculates the retrospective power of the traditional chi-square test, compute permutation and Monte Carlo p-value, and provides measures of association for tables of any size such as Phi, Phi corrected, odds ratio with 95 percent CI and p-value, Yule' Q and Y, adjusted contingency coefficient, Cramer's V, V corrected, V standardised, bias-corrected V, W, Cohen's w, Goodman-Kruskal's lambda, and tau. It also calculates standardised, moment-corrected standardised, and adjusted standardised residuals, and their significance, as well as the Quetelet Index, IJ association factor, and adjusted standardised counts. It also computes the chi-square-maximising version of the input table. Different outputs are returned in nicely formatted tables.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package asremlPlus updated to version 4.4.40 with previous version 4.4.38 dated 2024-08-19

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 4.4.38 dated 2024-08-19 and 4.4.40 dated 2024-10-27

 asremlPlus-4.4.38/asremlPlus/R/asrem.R                                   |only
 asremlPlus-4.4.38/asremlPlus/tests/testthat/testthat-problems.rds        |only
 asremlPlus-4.4.40/asremlPlus/DESCRIPTION                                 |    8 
 asremlPlus-4.4.40/asremlPlus/MD5                                         |   48 -
 asremlPlus-4.4.40/asremlPlus/NAMESPACE                                   |    5 
 asremlPlus-4.4.40/asremlPlus/R/REMLRTIC.v4.r                             |    8 
 asremlPlus-4.4.40/asremlPlus/R/alldiffs.v4.r                             |   37 -
 asremlPlus-4.4.40/asremlPlus/R/asremlPlusUtilities.r                     |   97 ++-
 asremlPlus-4.4.40/asremlPlus/R/reml4.v11.r                               |   34 -
 asremlPlus-4.4.40/asremlPlus/R/spatial.funcs.v9.r                        |  295 ++++++----
 asremlPlus-4.4.40/asremlPlus/R/spatial.utilities.v2.r                    |  245 ++++++++
 asremlPlus-4.4.40/asremlPlus/build/partial.rdb                           |binary
 asremlPlus-4.4.40/asremlPlus/build/vignette.rds                          |binary
 asremlPlus-4.4.40/asremlPlus/inst/NEWS.Rd                                |   14 
 asremlPlus-4.4.40/asremlPlus/inst/doc/Ladybird.asreml.pdf                |binary
 asremlPlus-4.4.40/asremlPlus/inst/doc/Ladybird.lm.pdf                    |binary
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 asremlPlus-4.4.40/asremlPlus/inst/doc/asremlPlus-manual.pdf              |binary
 asremlPlus-4.4.40/asremlPlus/man/addSpatialModel.asrtests.Rd             |    4 
 asremlPlus-4.4.40/asremlPlus/man/addSpatialModelOnIC.asrtests.Rd         |    4 
 asremlPlus-4.4.40/asremlPlus/man/chooseSpatialModelOnIC.asrtests.Rd      |    6 
 asremlPlus-4.4.40/asremlPlus/tests/testthat/data/summ703.rda             |binary
 asremlPlus-4.4.40/asremlPlus/tests/testthat/test42SpatialModels.r        |   53 +
 asremlPlus-4.4.40/asremlPlus/tests/testthat/test42WheatSpatialVignette.r |    8 
 26 files changed, 619 insertions(+), 247 deletions(-)

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Package mlr3tuning updated to version 1.1.0 with previous version 1.0.2 dated 2024-10-14

Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuning versions 1.0.2 dated 2024-10-14 and 1.1.0 dated 2024-10-27

 mlr3tuning-1.0.2/mlr3tuning/tests/testthat/test_TunerBatch.R                    |only
 mlr3tuning-1.1.0/mlr3tuning/DESCRIPTION                                         |    8 -
 mlr3tuning-1.1.0/mlr3tuning/MD5                                                 |   57 ++++----
 mlr3tuning-1.1.0/mlr3tuning/NEWS.md                                             |    8 +
 mlr3tuning-1.1.0/mlr3tuning/R/ArchiveAsyncTuning.R                              |    2 
 mlr3tuning-1.1.0/mlr3tuning/R/ArchiveBatchTuning.R                              |    2 
 mlr3tuning-1.1.0/mlr3tuning/R/AutoTuner.R                                       |    3 
 mlr3tuning-1.1.0/mlr3tuning/R/TuningInstanceAsyncMulticrit.R                    |   66 +++++++--
 mlr3tuning-1.1.0/mlr3tuning/R/TuningInstanceAsyncSingleCrit.R                   |   64 +++++++--
 mlr3tuning-1.1.0/mlr3tuning/R/TuningInstanceBatchMulticrit.R                    |   66 +++++++--
 mlr3tuning-1.1.0/mlr3tuning/R/TuningInstanceBatchSingleCrit.R                   |   66 +++++++--
 mlr3tuning-1.1.0/mlr3tuning/R/helper.R                                          |   39 -----
 mlr3tuning-1.1.0/mlr3tuning/R/sugar.R                                           |    6 
 mlr3tuning-1.1.0/mlr3tuning/R/tune.R                                            |    7 -
 mlr3tuning-1.1.0/mlr3tuning/man/ArchiveAsyncTuning.Rd                           |    3 
 mlr3tuning-1.1.0/mlr3tuning/man/ArchiveBatchTuning.Rd                           |    3 
 mlr3tuning-1.1.0/mlr3tuning/man/AutoTuner.Rd                                    |    4 
 mlr3tuning-1.1.0/mlr3tuning/man/ObjectiveTuning.Rd                              |    3 
 mlr3tuning-1.1.0/mlr3tuning/man/ObjectiveTuningBatch.Rd                         |    3 
 mlr3tuning-1.1.0/mlr3tuning/man/TuningInstanceAsyncMultiCrit.Rd                 |   14 +-
 mlr3tuning-1.1.0/mlr3tuning/man/TuningInstanceAsyncSingleCrit.Rd                |   19 ++
 mlr3tuning-1.1.0/mlr3tuning/man/TuningInstanceBatchMultiCrit.Rd                 |   19 ++
 mlr3tuning-1.1.0/mlr3tuning/man/TuningInstanceBatchSingleCrit.Rd                |   16 ++
 mlr3tuning-1.1.0/mlr3tuning/man/ti.Rd                                           |    4 
 mlr3tuning-1.1.0/mlr3tuning/man/ti_async.Rd                                     |    4 
 mlr3tuning-1.1.0/mlr3tuning/man/tune.Rd                                         |    4 
 mlr3tuning-1.1.0/mlr3tuning/tests/testthat/test_ArchiveAsyncTuning.R            |   18 +-
 mlr3tuning-1.1.0/mlr3tuning/tests/testthat/test_ArchiveBatchTuning.R            |   18 +-
 mlr3tuning-1.1.0/mlr3tuning/tests/testthat/test_Tuner.R                         |   70 +++++++++-
 mlr3tuning-1.1.0/mlr3tuning/tests/testthat/test_TuningInstanceBatchSingleCrit.R |    2 
 30 files changed, 427 insertions(+), 171 deletions(-)

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Package BENMMI (with last version 4.3-7) was removed from CRAN

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

2020-10-12 4.3-7
2019-01-25 4.3-6

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Package tidycountries updated to version 0.1.0 with previous version 0.0.1 dated 2024-09-12

Title: Access and Manipulate Comprehensive Country Level Data in Tidy Format
Description: A comprehensive and user-friendly interface for accessing, manipulating, and analyzing country-level data from around the world. It allows users to retrieve detailed information on countries, including names, regions, continents, populations, currencies, calling codes, and more, all in a tidy data format. The package is designed to work seamlessly within the 'tidyverse' ecosystem, making it easy to filter, arrange, and visualize country-level data in R.
Author: Dennis Irorere [aut, cre, cph]
Maintainer: Dennis Irorere <denironyx@gmail.com>

Diff between tidycountries versions 0.0.1 dated 2024-09-12 and 0.1.0 dated 2024-10-27

 DESCRIPTION                              |   10 -
 MD5                                      |   25 ++--
 NAMESPACE                                |    2 
 NEWS.md                                  |   17 ++-
 R/core.R                                 |  160 +++++++++++++++++++++----------
 R/world_administrative_boundaries.R      |only
 R/zzz.R                                  |    4 
 README.md                                |    3 
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 man/get_countries_by_region.Rd           |   17 +--
 man/get_country_by_calling_code.Rd       |   18 +--
 man/get_country_info.Rd                  |   13 +-
 man/world_administrative_boundaries.Rd   |only
 15 files changed, 190 insertions(+), 88 deletions(-)

More information about tidycountries at CRAN
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