Sat, 20 Apr 2024

Package micromapST updated to version 3.0.3 with previous version 3.0.2 dated 2024-01-10

Title: Linked Micromap Plots for U. S. and Other Geographic Areas
Description: Provides the users with the ability to quickly create linked micromap plots for a collection of geographic areas. Linked micromap plots are visualizations of geo-referenced data that link statistical graphics to an organized series of small maps or graphic images. The Help description contains examples of how to use the 'micromapST' function. Contained in this package are border group datasets to support creating linked micromap plots for the 50 U.S. states and District of Columbia (51 areas), the U. S. 20 Seer Registries, the 105 counties in the state of Kansas, the 62 counties of New York, the 24 counties of Maryland, the 29 counties of Utah, the 32 administrative areas in China, the 218 administrative areas in the UK and Ireland (for testing only), the 25 districts in the city of Seoul South Korea, and the 52 counties on the Africa continent. A border group dataset contains the boundaries related to the data level areas, a second layer boundaries, a top or third layer boundary, a pa [...truncated...]
Author: Jim Pearson [aut, cre, cph], Dan Carr [aut, cph], Linda Pickle [ctb, cph]
Maintainer: Jim Pearson <jbpearson353@gmail.com>

Diff between micromapST versions 3.0.2 dated 2024-01-10 and 3.0.3 dated 2024-04-20

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Package streamMOA updated to version 1.3-1 with previous version 1.3-0 dated 2022-09-03

Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph] , John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package ncvreg updated to version 3.14.2 with previous version 3.14.1 dated 2023-04-25

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Author: Patrick Breheny [aut, cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between ncvreg versions 3.14.1 dated 2023-04-25 and 3.14.2 dated 2024-04-20

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Package sketchy updated to version 1.0.3 with previous version 1.0.2 dated 2022-02-09

Title: Create Custom Research Compendiums
Description: Provides functions to create and manage research compendiums for data analysis. Research compendiums are a standard and intuitive folder structure for organizing the digital materials of a research project, which can significantly improve reproducibility. The package offers several compendium structure options that fit different research project as well as the ability of duplicating the folder structure of existing projects or implementing custom structures. It also simplifies the use of version control.
Author: Marcelo Araya-Salas [aut, cre] , Andrea Yure Arriaga Madrigal [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package ivreg updated to version 0.6-3 with previous version 0.6-2 dated 2023-03-17

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package tm updated to version 0.7-13 with previous version 0.7-12 dated 2024-03-11

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut, cre] , Kurt Hornik [aut] , Artifex Software, Inc. [ctb, cph]
Maintainer: Ingo Feinerer <feinerer@logic.at>

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Package selenider updated to version 0.4.0 with previous version 0.3.0 dated 2024-01-27

Title: Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'
Description: A user-friendly wrapper for web automation, using either 'chromote' or 'selenium'. Provides a simple and consistent API to make web scraping and testing scripts easy to write and understand. Elements are lazy, and automatically wait for the website to be valid, resulting in reliable and reproducible code, with no visible impact on the experience of the programmer.
Author: Ashby Thorpe [aut, cre, cph]
Maintainer: Ashby Thorpe <ashbythorpe@gmail.com>

Diff between selenider versions 0.3.0 dated 2024-01-27 and 0.4.0 dated 2024-04-20

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Package rtpcr updated to version 1.0.4 with previous version 1.0.3 dated 2024-04-13

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor) or analysis of variance (for cases where more than two levels or factors exist) to calculate the fold change or relative expression. The functions also provide standard deviations and confidence limits for means and apply statistical mean comparisons. To facilitate using 'rtpcr', diffe [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

Diff between rtpcr versions 1.0.3 dated 2024-04-13 and 1.0.4 dated 2024-04-20

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Package XRJulia updated to version 0.9.0.1 with previous version 0.9.0 dated 2019-05-05

Title: Structured Interface to Julia
Description: A Julia interface structured according to the general form described in package 'XR' and in the book "Extending R".
Author: John M. Chambers
Maintainer: John Chambers <jmc@r-project.org>

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Package secrdesign updated to version 2.9.1 with previous version 2.9.0 dated 2024-03-02

Title: Sampling Design for Spatially Explicit Capture-Recapture
Description: Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.
Author: Murray Efford [aut, cre] , Ian Durbach [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package pamr updated to version 1.56.2 with previous version 1.56.1 dated 2019-04-22

Title: Pam: Prediction Analysis for Microarrays
Description: Some functions for sample classification in microarrays.
Author: T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Maintainer: Rob Tibshirani <tibs@stanford.edu>

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Package GSA updated to version 1.03.3 with previous version 1.03.2 dated 2022-03-19

Title: Gene Set Analysis
Description: Gene Set Analysis.
Author: Brad Efron and R. Tibshirani
Maintainer: Rob Tibshirani <tibs@stat.stanford.edu>

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Package Factoshiny updated to version 2.6 with previous version 2.5 dated 2023-11-20

Title: Perform Factorial Analysis from 'FactoMineR' with a Shiny Application
Description: Perform factorial analysis with a menu and draw graphs interactively thanks to 'FactoMineR' and a Shiny application.
Author: Pauline Vaissie, Astrid Monge, Francois Husson
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package FactoMineR updated to version 2.11 with previous version 2.10 dated 2024-02-29

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package dbparser updated to version 2.0.3 with previous version 2.0.2 dated 2024-02-16

Title: Drugs Databases Parser
Description: This tool is for parsing public drug databases such as 'DrugBank' XML database <https://go.drugbank.com/>. The parsed data are then returned in a proper 'R' object called 'dvobject'.
Author: Mohammed Ali [aut, cre], Ali Ezzat [aut], Hao Zhu [rev], Emma Mendelsohn [rev]
Maintainer: Mohammed Ali <moh_fcis@yahoo.com>

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Package keras updated to version 2.15.0 with previous version 2.13.0 dated 2023-08-15

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Author: Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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 man/metric_mean.Rd                              |    4 
 man/metric_mean_absolute_error.Rd               |    6 
 man/metric_mean_absolute_percentage_error.Rd    |    6 
 man/metric_mean_iou.Rd                          |    6 
 man/metric_mean_relative_error.Rd               |    6 
 man/metric_mean_squared_error.Rd                |    8 
 man/metric_mean_squared_logarithmic_error.Rd    |    6 
 man/metric_mean_tensor.Rd                       |    6 
 man/metric_mean_wrapper.Rd                      |    6 
 man/metric_poisson.Rd                           |    6 
 man/metric_precision.Rd                         |    4 
 man/metric_precision_at_recall.Rd               |    4 
 man/metric_recall.Rd                            |    4 
 man/metric_recall_at_precision.Rd               |    4 
 man/metric_root_mean_squared_error.Rd           |    6 
 man/metric_sensitivity_at_specificity.Rd        |    6 
 man/metric_sparse_categorical_accuracy.Rd       |    6 
 man/metric_sparse_categorical_crossentropy.Rd   |    6 
 man/metric_sparse_top_k_categorical_accuracy.Rd |    6 
 man/metric_specificity_at_sensitivity.Rd        |    6 
 man/metric_squared_hinge.Rd                     |    6 
 man/metric_sum.Rd                               |    6 
 man/metric_top_k_categorical_accuracy.Rd        |    6 
 man/metric_true_negatives.Rd                    |    6 
 man/metric_true_positives.Rd                    |    6 
 man/multi_gpu_model.Rd                          |    2 
 man/optimizer_adadelta.Rd                       |    4 
 man/optimizer_adagrad.Rd                        |    4 
 man/optimizer_adamax.Rd                         |    2 
 man/optimizer_ftrl.Rd                           |    4 
 man/optimizer_nadam.Rd                          |    4 
 man/optimizer_rmsprop.Rd                        |    4 
 man/optimizer_sgd.Rd                            |    4 
 man/pop_layer.Rd                                |    2 
 man/predict.keras.engine.training.Model.Rd      |    2 
 man/predict_generator.Rd                        |    2 
 man/predict_on_batch.Rd                         |    2 
 man/predict_proba.Rd                            |    2 
 man/save_text_tokenizer.Rd                      |    4 
 man/sequences_to_matrix.Rd                      |    4 
 man/summary.keras.engine.training.Model.Rd      |    2 
 man/text_tokenizer.Rd                           |    4 
 man/texts_to_matrix.Rd                          |    4 
 man/train_on_batch.Rd                           |    2 
 tests/testthat/digit2.jpeg                      |only
 tests/testthat/digit_resized.jpeg               |only
 tests/testthat/test-layers-preprocessing.R      |    4 
 tests/testthat/test-utils.R                     |   11 
 tools/find-api-diffs.R                          |    5 
 155 files changed, 529 insertions(+), 466 deletions(-)

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