Thu, 09 Nov 2023

Package fmtr updated to version 1.6.2 with previous version 1.6.0 dated 2023-09-10

Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide functionality similar to that of SAS® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SAS® user-defined format.
Author: David Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between fmtr versions 1.6.0 dated 2023-09-10 and 1.6.2 dated 2023-11-09

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Package file2meco updated to version 0.7.0 with previous version 0.6.0 dated 2023-05-05

Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between file2meco versions 0.6.0 dated 2023-05-05 and 0.7.0 dated 2023-11-09

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Package adbcsqlite updated to version 0.8.0 with previous version 0.7.0.1 dated 2023-10-11

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcsqlite versions 0.7.0.1 dated 2023-10-11 and 0.8.0 dated 2023-11-09

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Package attention updated to version 0.4.0 with previous version 0.3.0 dated 2023-04-23

Title: Self-Attention Algorithm
Description: Self-Attention algorithm helper functions and demonstration vignettes of increasing depth on how to construct the Self-Attention algorithm, this is based on Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>, Dan Jurafsky and James H. Martin (2022, ISBN:978-0131873216) <https://web.stanford.edu/~jurafsky/slp3/> "Speech and Language Processing (3rd ed.)" and Alex Graves (2020) <https://www.youtube.com/watch?v=AIiwuClvH6k> "Attention and Memory in Deep Learning".
Author: Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>

Diff between attention versions 0.3.0 dated 2023-04-23 and 0.4.0 dated 2023-11-09

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Package pysparklyr updated to version 0.1.1 with previous version 0.1.0 dated 2023-10-04

Title: Provides a 'PySpark' Back-End for the 'sparklyr' Package
Description: It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

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Package ggblanket updated to version 5.2.0 with previous version 5.1.0 dated 2023-09-19

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre, cph] , Nik Mitchell [ctb]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package pracma updated to version 2.4.4 with previous version 2.4.2 dated 2022-09-22

Title: Practical Numerical Math Functions
Description: Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Author: Hans W. Borchers [aut, cre]
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

Diff between pracma versions 2.4.2 dated 2022-09-22 and 2.4.4 dated 2023-11-09

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Package packageRank updated to version 0.8.3 with previous version 0.8.2 dated 2023-10-10

Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from Posit/RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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Package mosaic updated to version 1.9.0 with previous version 1.8.4.2 dated 2022-09-20

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim [aut, cre], Daniel T. Kaplan [aut], Nicholas J. Horton [aut]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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More information about mosaic at CRAN
Permanent link

Package datasets.load updated to version 2.3.0 with previous version 2.2.0 dated 2023-04-21

Title: Graphical Interface for Loading Datasets
Description: Graphical interface for loading datasets in RStudio from all installed (including unloaded) packages, also includes command line interfaces.
Author: Bastiaan quast [aut, cre]
Maintainer: Bastiaan quast <bquast@gmail.com>

Diff between datasets.load versions 2.2.0 dated 2023-04-21 and 2.3.0 dated 2023-11-09

 DESCRIPTION                         |    8 ++++----
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More information about datasets.load at CRAN
Permanent link

New package wordbankr with initial version 1.0.2
Package: wordbankr
Title: Accessing the Wordbank Database
Description: Connecting to Wordbank, an open repository for developmental vocabulary data. For more information on the underlying data, see <http://wordbank.stanford.edu>.
Version: 1.0.2
Depends: R (>= 4.0)
License: GPL-3
URL: https://langcog.github.io/wordbankr/, https://github.com/langcog/wordbankr/
BugReports: https://github.com/langcog/wordbankr/issues/
Imports: assertthat (>= 0.2.1), DBI (>= 1.1.3), dbplyr (>= 2.3.4), dplyr (>= 1.1.3), glue (>= 1.6.2), jsonlite (>= 1.8.7), lifecycle (>= 1.0.3), purrr (>= 1.0.2), quantregGrowth (>= 1.7-0), rlang (>= 1.1.1), RMySQL (>= 0.10.26), robustbase (>= 0.99-0), stringr (>= 1.5.0), tidyr (>= 1.3.0)
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-09 20:23:22 UTC; mikabr
Author: Mika Braginsky [aut, cre], Daniel Yurovsky [ctb], Michael Frank [ctb], Danielle Kellier [ctb], Alvin Tan [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-09 23:40:02 UTC

More information about wordbankr at CRAN
Permanent link

Package traineR updated to version 2.2.0 with previous version 2.1.0 dated 2023-10-09

Title: Predictive (Classification and Regression) Models Homologator
Description: Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. ( [...truncated...]
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [aut], Ariel Arroyo S. [aut], Diego Jimenez A. [aut]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

Diff between traineR versions 2.1.0 dated 2023-10-09 and 2.2.0 dated 2023-11-09

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Package texreg updated to version 1.39.3 with previous version 1.38.6 dated 2022-04-06

Title: Conversion of R Regression Output to LaTeX or HTML Tables
Description: Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented. Details can be found in Leifeld (2013), JStatSoft <doi:10.18637/jss.v055.i08>. (If the Zelig package, which this package enhances, cannot be found on CRAN, you can find it at <https://github.com/IQSS/Zelig>. If the mnlogit package, which this package enhances, cannot be found on CRAN, you can find an old version in the CRAN Archive at <https://cran.r-project.org/src/contrib/Archive/mnlogit/>.)
Author: Philip Leifeld [aut, cre], Claudia Zucca [ctb]
Maintainer: Philip Leifeld <philip.leifeld@essex.ac.uk>

Diff between texreg versions 1.38.6 dated 2022-04-06 and 1.39.3 dated 2023-11-09

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New package SDLfilter with initial version 2.3.3
Package: SDLfilter
Title: Filtering and Assessing the Sample Size of Tracking Data
Version: 2.3.3
Date: 2023-11-07
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada@gmail.com>
Description: Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.
Depends: R (>= 3.5.0), ggplot2
Imports: geosphere, data.table, gridExtra, ggmap, maps, pracma, lubridate, dplyr, emmeans, utils, sf, stars, ggspatial
License: GPL-2 | file LICENSE
URL: https://github.com/TakahiroShimada/SDLfilter
BugReports: https://github.com/TakahiroShimada/SDLfilter/issues
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-09 23:25:03 UTC; root
Repository: CRAN
Date/Publication: 2023-11-10 00:00:11 UTC

More information about SDLfilter at CRAN
Permanent link

Package qwraps2 updated to version 0.6.0 with previous version 0.5.2 dated 2021-03-07

Title: Quick Wraps 2
Description: A collection of (wrapper) functions the creator found useful for quickly placing data summaries and formatted regression results into '.Rnw' or '.Rmd' files. Functions for generating commonly used graphics, such as receiver operating curves or Bland-Altman plots, are also provided by 'qwraps2'. 'qwraps2' is a updated version of a package 'qwraps'. The original version 'qwraps' was never submitted to CRAN but can be found at <https://github.com/dewittpe/qwraps/>. The implementation and limited scope of the functions within 'qwraps2' <https://github.com/dewittpe/qwraps2/> is fundamentally different from 'qwraps'.
Author: Peter DeWitt [aut, cre] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <dewittpe@gmail.com>

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Package image.textlinedetector updated to version 0.2.3 with previous version 0.2.2 dated 2022-10-17

Title: Segment Images in Text Lines and Words
Description: Find text lines in scanned images and segment the lines into words. Includes implementations of the paper 'Novel A* Path Planning Algorithm for Line Segmentation of Handwritten Documents' by Surinta O. et al (2014) <doi:10.1109/ICFHR.2014.37> available at <https://github.com/smeucci/LineSegm>, an implementation of 'A Statistical approach to line segmentation in handwritten documents' by Arivazhagan M. et al (2007) <doi:10.1117/12.704538>, and a wrapper for an image segmentation technique to detect words in text lines as described in the paper 'Scale Space Technique for Word Segmentation in Handwritten Documents' by Manmatha R. and Srimal N. (1999) paper at <doi:10.1007/3-540-48236-9_3>, wrapper for code available at <https://github.com/arthurflor23/text-segmentation>. Provides as well functionality to put cursive text in images upright using the approach defined in the paper 'A new normalization technique for cursive handwritten words' by Vinciarelli A. a [...truncated...]
Author: Jan Wijffels [aut, cre, cph] , Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph] , Jeroen Ooms [ctb, cph] , Arthur Flor [ctb, cph] , Saverio Meucci [ctb, cph] , Yeara Kozlov [ctb, cph] , Tino Weinkauf [ctb, cph] , Hara [...truncated...]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package dialrjars updated to version 8.13.25 with previous version 8.13.2 dated 2022-12-07

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] , Vonage Holdings Corp. [ctb, cph] , Ian Galpin [ctb, cph] , Ben Gertzfield [ctb, cph]
Maintainer: Danny Smith <danny@gorcha.org>

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Package adproclus updated to version 1.0.2 with previous version 1.0.1 dated 2023-11-07

Title: Additive Profile Clustering Algorithms
Description: Obtain overlapping clustering models for object-by-variable data matrices using the Additive Profile Clustering (ADPROCLUS) method. Also contains the low dimensional ADPROCLUS method for simultaneous dimension reduction and overlapping clustering. For reference see Depril, Van Mechelen, Mirkin (2008) <doi:10.1016/j.csda.2008.04.014> and Depril, Van Mechelen, Wilderjans (2012) <doi:10.1007/s00357-012-9112-5>.
Author: Henry Heppe [aut, cre, cph], Julian Rossbroich [aut], Jeffrey Durieux [aut], Tom Wilderjans [aut]
Maintainer: Henry Heppe <heppe.henry@gmail.com>

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Package phytools updated to version 2.0-3 with previous version 1.9-16 dated 2023-07-14

Title: Phylogenetic Tools for Comparative Biology (and Other Things)
Description: A wide range of methods for phylogenetic analysis - concentrated in phylogenetic comparative biology, but also including numerous techniques for visualizing, analyzing, manipulating, reading or writing, and even inferring phylogenetic trees. Included among the functions in phylogenetic comparative biology are various for ancestral state reconstruction, model-fitting, and simulation of phylogenies and trait data. A broad range of plotting methods for phylogenies and comparative data include (but are not restricted to) methods for mapping trait evolution on trees, for projecting trees into phenotype space or a onto a geographic map, and for visualizing correlated speciation between trees. Lastly, numerous functions are designed for reading, writing, analyzing, inferring, simulating, and manipulating phylogenetic trees and comparative data. For instance, there are functions for computing consensus phylogenies from a set, for simulating phylogenetic trees and data under a range of models, [...truncated...]
Author: Liam J. Revell
Maintainer: Liam J. Revell <liam.revell@umb.edu>

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Package ClimMobTools updated to version 1.0 with previous version 0.6 dated 2023-01-06

Title: API Client for the 'ClimMob' Platform
Description: API client for 'ClimMob', an open source software for decentralized large-N trials with the 'tricot' approach <https://climmob.net/>. Developed by van Etten et al. (2016) <doi:10.1017/S0014479716000739>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions for the target environment, it enables many participants to carry out reasonably simple experiments that taken together can offer even more information. 'ClimMobTools' enables project managers to deep explore and analyse their 'ClimMob' data in R.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , Brandon Madriz [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

Diff between ClimMobTools versions 0.6 dated 2023-01-06 and 1.0 dated 2023-11-09

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Package smetlite updated to version 0.2.10 with previous version 0.2.9 dated 2023-06-28

Title: Read and Write SMET Files
Description: Simple class to hold contents of a SMET file as specified in Bavay (2021) <https://code.wsl.ch/snow-models/meteoio/-/blob/master/doc/SMET_specifications.pdf>. There numerical meteorological measurements are all based on MKS (SI) units and timestamp is standardized to UTC time.
Author: Reinhold Koch [aut, cre, cph]
Maintainer: Reinhold Koch <rei@reinholdkoch.com>

Diff between smetlite versions 0.2.9 dated 2023-06-28 and 0.2.10 dated 2023-11-09

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Package logr updated to version 1.3.5 with previous version 1.3.4 dated 2023-06-25

Title: Creates Log Files
Description: Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Author: David Bosak [aut, cre], Rikard Isaksson [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between logr versions 1.3.4 dated 2023-06-25 and 1.3.5 dated 2023-11-09

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Package blindreview updated to version 1.3.1 with previous version 1.3.0 dated 2023-09-14

Title: Blind Review Using Forward Search Procedures
Description: Randomly assigns identification to one of the variables of the dataset, say Treatment, and assigns random numbers to all the observations of the dataset. Reorders the observations according to the random numbers, and then runs the appropriate forward search function on the blinded dataset. A file is created from which the user can identify any outliers using the graphics function in this package. Centers each fixed coefficient at the grand mean prior to graphing in order to further mask the treatment. An unmasking function is provided so that the user can identify the potential outliers in terms of their original values when blinding is no longer needed. Details of the forward search functions may be found in <https://CRAN.R-project.org/package=forsearch>.
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>

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Package Xplortext updated to version 1.5.3 with previous version 1.5.2 dated 2023-04-24

Title: Statistical Analysis of Textual Data
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.
Author: Monica Becue-Bertaut, Ramon Alvarez-Esteban, Josep-Anton Sanchez-Espigares, Belchin Kostov
Maintainer: Ramon Alvarez-Esteban <ramon.alvarez@unileon.es>

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Package vivainsights updated to version 0.5.0 with previous version 0.4.3 dated 2023-11-01

Title: Analyze and Visualize Data from 'Microsoft Viva Insights'
Description: Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Author: Martin Chan [aut, cre], Carlos Morales [aut]
Maintainer: Martin Chan <martin.chan@microsoft.com>

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Package SparseVFC updated to version 0.1.2 with previous version 0.1.1 dated 2023-02-15

Title: Sparse Vector Field Consensus for Vector Field Learning
Description: The sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013 <doi:10.1016/j.patcog.2013.05.017>) for robust vector field learning. Largely translated from the Matlab functions in <https://github.com/jiayi-ma/VFC>.
Author: Jingmeng Cui [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui@outlook.com>

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Package pins updated to version 1.3.0 with previous version 1.2.2 dated 2023-09-09

Title: Pin, Discover and Share Resources
Description: Publish data sets, models, and other R objects, making it easy to share them across projects and with your colleagues. You can pin objects to a variety of "boards", including local folders (to share on a networked drive or with 'DropBox'), 'RStudio' connect, Amazon S3, and more.
Author: Julia Silge [cre, aut] , Hadley Wickham [aut] , Javier Luraschi [aut], Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package ACTCD updated to version 1.3-0 with previous version 1.2-0 dated 2018-04-23

Title: Asymptotic Classification Theory for Cognitive Diagnosis
Description: Cluster analysis for cognitive diagnosis based on the Asymptotic Classification Theory (Chiu, Douglas & Li, 2009; <doi:10.1007/s11336-009-9125-0>). Given the sample statistic of sum-scores, cluster analysis techniques can be used to classify examinees into latent classes based on their attribute patterns. In addition to the algorithms used to classify data, three labeling approaches are proposed to label clusters so that examinees' attribute profiles can be obtained.
Author: Chia-Yi Chiu and Wenchao Ma
Maintainer: Wenchao Ma <wenchao.ma@ua.edu>

Diff between ACTCD versions 1.2-0 dated 2018-04-23 and 1.3-0 dated 2023-11-09

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Package tspredit updated to version 1.0.737 with previous version 1.0.727 dated 2023-11-02

Title: Time Series Prediction Integrated Tuning
Description: Prediction is one of the most important activities while working with time series. There are many alternative ways to model the time series. Finding the right one is challenging to model them. Most data-driven models (either statistical or machine learning) demand tuning. Setting them right is mandatory for good predictions. It is even more complex since time series prediction also demands choosing a data pre-processing that complies with the chosen model. Many time series frameworks have features to build and tune models. The package differs as it provides a framework that seamlessly integrates tuning data pre-processing activities with the building of models. The package provides functions for defining and conducting time series prediction, including data pre(post)processing, decomposition, tuning, modeling, prediction, and accuracy assessment. More information is available at Izau et al. <doi:10.5753/sbbd.2022.224330>.
Author: Rebecca Salles [aut], Cristiane Gea [aut], Vitoria Birindiba [aut], Carla Pacheco [aut], Eduardo Bezerra [aut], Esther Pacitti [aut], Fabio Porto [aut], Eduardo Ogasawara [aut, ths, cre] , Federal Center for Technological Education of Rio de Janeiro [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between tspredit versions 1.0.727 dated 2023-11-02 and 1.0.737 dated 2023-11-09

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New package Spectran with initial version 1.0.3
Package: Spectran
Title: Visual and Non-Visual Spectral Analysis of Light
Version: 1.0.3
Description: Analyse light spectra for visual and non-visual (often called melanopic) needs, wrapped up in a Shiny App. 'Spectran' allows for the import of spectra in various CSV forms but also provides a wide range of example spectra and even the creation of own spectral power distributions. The goal of the app is to provide easy access and a visual overview of the spectral calculations underlying common parameters used in the field. It is thus ideal for educational purposes or the creation of presentation ready graphs in lighting research and application. 'Spectran' uses equations and action spectra described in CIE S026 (2018) <doi:10.25039/S026.2018>, DIN/TS 5031-100 (2021) <doi:10.31030/3287213>, and ISO/CIE 23539 (2023) <doi:10.25039/IS0.CIE.23539.2023>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: chromote, colorSpec, cowplot, dplyr, gghighlight, ggplot2, ggrepel, ggridges, ggtext, grid, gt, htmltools, magrittr, openxlsx, pagedown, patchwork, png, purrr, readr, rlang, scales, shiny, shinyalert, shinydashboard, shinyFeedback, shinyjs, shinyWidgets, spacesXYZ, spsComps, stats, stringr, tibble, tidyr, tidyselect, utils, waiter, webshot2, withr
Suggests: cooltools, here, magick, pkgload, readxl, rhub, rmarkdown, rsconnect
URL: https://github.com/LiTGde/Spectran, https://litgde.github.io/Spectran/
BugReports: https://github.com/LiTGde/Spectran/issues
NeedsCompilation: no
Packaged: 2023-11-09 10:37:39 UTC; zauner
Author: Johannes Zauner [aut, cre, cph] , LiTG [fnd, cph]
Maintainer: Johannes Zauner <spectran@litg.de>
Repository: CRAN
Date/Publication: 2023-11-09 15:20:06 UTC

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New package SimNPH with initial version 0.5.3
Package: SimNPH
Title: Simulate Non-Proportional Hazards
Version: 0.5.3
License: BSL-1.0
Description: A toolkit for simulation studies concerning time-to-event endpoints with non-proportional hazards. 'SimNPH' encompasses functions for simulating time-to-event data in various scenarios, simulating different trial designs like fixed-followup, event-driven, and group sequential designs. The package provides functions to calculate the true values of common summary statistics for the implemented scenarios and offers common analysis methods for time-to-event data. Helper functions for running simulations with the 'SimDesign' package and for aggregating and presenting the results are also included. Results of the conducted simulation study are available as preprint: "A neutral comparison of statistical methods for time-to-event analyses under non-proportional hazards", Klinglmueller et al. (2023) <doi:10.48550/ARXIV.2310.05622>.
Encoding: UTF-8
LazyData: true
Depends: SimDesign, survival, R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), covr, withr, ldbounds, ggplot2, patchwork, R.rsp
Imports: miniPCH (>= 0.3.0), purrr (>= 1.0.0), rlang, tibble, nph, nphRCT, car, dplyr, stringr, methods, tidyr
VignetteBuilder: R.rsp
URL: https://simnph.github.io/SimNPH/, https://github.com/SimNPH/SimNPH/
BugReports: https://github.com/SimNPH/SimNPH/issues/
NeedsCompilation: no
Packaged: 2023-11-09 10:31:27 UTC; Tobias11
Author: Tobias Fellinger [aut, cre] , Florian Klinglmueller [aut]
Maintainer: Tobias Fellinger <tobias.fellinger@ages.at>
Repository: CRAN
Date/Publication: 2023-11-09 15:20:09 UTC

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New package qeML with initial version 1.1
Package: qeML
Version: 1.1
Title: Quick and Easy Machine Learning Tools
Maintainer: Norm Matloff <nsmatloff@ucdavis.edu>
Depends: R (>= 3.5.0),regtools (>= 0.8.0),gtools,rmarkdown,tufte
Imports: grf,gbm,toweranNA,tm,rpart,rpart.plot,partools,FOCI
Suggests: knitr,partykit,randomForest,ranger,e1071,JOUSBoost,lightgbm, keras,neuralnet,polyreg,glmnet,umap,reticulate,party,pROC,xgboost,ROCR, autoimage,deepnet,ncvreg,uwot,cdparcoord
VignetteBuilder: knitr
License: GPL (>= 2)
Description: The letters 'qe' in the package title stand for "quick and easy," alluding to the convenience goal of the package. We bring together a variety of machine learning (ML) tools from standard R packages, providing wrappers with a simple, convenient, and uniform interface.
URL: https://github.com/matloff/qeML
BugReports: https://github.com/matloff/qeML/issues
NeedsCompilation: no
Packaged: 2023-10-26 01:10:13 UTC; normanmatloff
Author: Norm Matloff [aut, cre]
Repository: CRAN
Date/Publication: 2023-11-09 15:20:02 UTC

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Package PBSmodelling updated to version 2.69.3 with previous version 2.68.8 dated 2019-03-14

Title: GUI Tools Made Easy: Interact with Models and Explore Data
Description: Provides software to facilitate the design, testing, and operation of computer models. It focuses particularly on tools that make it easy to construct and edit a customized graphical user interface ('GUI'). Although our simplified 'GUI' language depends heavily on the R interface to the 'Tcl/Tk' package, a user does not need to know 'Tcl/Tk'. Examples illustrate models built with other R packages, including 'PBSmapping', 'PBSddesolve', and 'BRugs'. A complete user's guide 'PBSmodelling-UG.pdf' shows how to use this package effectively.
Author: Jon T. Schnute [aut], Alex Couture-Beil [aut], Rowan Haigh [aut, cre], Nicholas Boers [ctb], Anisa Egeli [ctb], A. R. Kronlund [ctb], Steve Martell [ctb], Norm Olsen [ctb]
Maintainer: Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>

Diff between PBSmodelling versions 2.68.8 dated 2019-03-14 and 2.69.3 dated 2023-11-09

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New package IDMIR with initial version 0.1.0
Package: IDMIR
Title: Identification of Dysregulated MiRNAs Based on MiRNA-MiRNA Interaction Network
Version: 0.1.0
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: A systematic biology tool was developed to identify dysregulated miRNAs via a miRNA-miRNA interaction network. 'IDMIR' first constructed a weighted miRNA interaction network through integrating miRNA-target interaction information, molecular function data from Gene Ontology (GO) database and gene transcriptomic data in specific-disease context, and then, it used a network propagation algorithm on the network to identify significantly dysregulated miRNAs.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: egg, fastmatch, forestplot, ggplot2, grDevices, grid, igraph, pheatmap, survival, survminer
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-09 11:34:00 UTC; 89800
Author: Junwei Han [aut, cre, cph], Xilong Zhao [aut], Jiashuo Wu [aut]
Repository: CRAN
Date/Publication: 2023-11-09 15:30:02 UTC

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New package CAGR with initial version 0.1.0
Package: CAGR
Title: Compound Annual Growth Rate
Version: 0.1.0
Author: Debopam Rakshit [aut, cre]
Maintainer: Debopam Rakshit <rakshitdebopam@yahoo.com>
Description: A time series usually does not have a uniform growth rate. Compound Annual Growth Rate measures the average annual growth over a given period. More details can be found in Bardhan et al. (2022) <DOI:10.18805/ag.D-5418>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-09 11:46:10 UTC; Debopam
Repository: CRAN
Date/Publication: 2023-11-09 15:20:13 UTC

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New package arcpbf with initial version 0.1.0
Package: arcpbf
Title: Process ArcGIS Protocol Buffer FeatureCollections
Version: 0.1.0
Description: Fast processing of ArcGIS FeatureCollection protocol buffers in R. It is designed to work seamlessly with 'httr2' and integrates with 'sf'.
License: Apache License (>= 2)
URL: https://r.esri.com/arcpbf/, https://github.com/R-ArcGIS/arcpbf
BugReports: https://github.com/R-ArcGIS/arcpbf/issues
Encoding: UTF-8
Language: en
SystemRequirements: Cargo (Rust's package manager), rustc
Suggests: collapse (>= 2.0.0), data.table, dplyr, httr2, sf
Imports: rlang
NeedsCompilation: yes
Packaged: 2023-11-09 03:51:54 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-09 15:40:02 UTC

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Package reproducible updated to version 2.0.9 with previous version 2.0.8 dated 2023-08-23

Title: Enhance Reproducibility of R Code
Description: A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs(). Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and has deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects, allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions().
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Tati Micheletti [ctb] , Ceres Barros [ctb] , Ian Eddy [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between reproducible versions 2.0.8 dated 2023-08-23 and 2.0.9 dated 2023-11-09

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Package evclust updated to version 2.0.3 with previous version 2.0.2 dated 2021-05-28

Title: Evidential Clustering
Description: Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means, Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based Evidential Clustering.
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

Diff between evclust versions 2.0.2 dated 2021-05-28 and 2.0.3 dated 2023-11-09

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Package vaultr updated to version 1.2.0 with previous version 1.1.1 dated 2022-08-22

Title: Vault Client for Secrets and Sensitive Data
Description: Provides an interface to a 'HashiCorp' vault server over its http API (typically these are self-hosted; see <https://www.vaultproject.io>). This allows for secure storage and retrieval of secrets over a network, such as tokens, passwords and certificates. Authentication with vault is supported through several backends including user name/password and authentication via 'GitHub'.
Author: Rich FitzJohn [aut, cre], Robert Ashton [aut], Wes Hinsley [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between vaultr versions 1.1.1 dated 2022-08-22 and 1.2.0 dated 2023-11-09

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 76 files changed, 896 insertions(+), 871 deletions(-)

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Package ggformula updated to version 0.12.0 with previous version 0.10.4 dated 2023-04-11

Title: Formula Interface to the Grammar of Graphics
Description: Provides a formula interface to 'ggplot2' graphics.
Author: Daniel Kaplan [aut], Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package KLINK updated to version 0.7.2 with previous version 0.6.1 dated 2023-08-30

Title: Kinship Analysis with Linked Markers
Description: A 'shiny' application for forensic kinship testing, based on the 'pedsuite' R packages. 'KLINK' is closely aligned with the (non-R) software 'Familias' and 'FamLink', but offers several unique features, including visualisations and automated report generation. The calculation of likelihood ratios supports pairs of linked markers, and all common mutation models.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between KLINK versions 0.6.1 dated 2023-08-30 and 0.7.2 dated 2023-11-09

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Package hypr updated to version 0.2.8 with previous version 0.2.7 dated 2023-10-20

Title: Hypothesis Matrix Translation
Description: Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad et al. (2019) <doi:10.1016/j.jml.2019.104038> and Rabe et al. (2020) <doi:10.21105/joss.02134>.
Author: Maximilian M. Rabe [aut, cre] , Shravan Vasishth [aut] , Sven Hohenstein [aut] , Reinhold Kliegl [aut] , Daniel J. Schad [aut]
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>

Diff between hypr versions 0.2.7 dated 2023-10-20 and 0.2.8 dated 2023-11-09

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Package evreg updated to version 1.0.3 with previous version 1.0.2 dated 2023-04-04

Title: Evidential Regression
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.36227/techrxiv.21791831.v1>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

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Package downloadthis updated to version 0.3.3 with previous version 0.3.2 dated 2022-08-16

Title: Implement Download Buttons in 'rmarkdown'
Description: Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.
Author: Felipe Mattioni Maturana [aut, cre] , John Coene [ctb]
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>

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Package adobeanalyticsr updated to version 0.4.0 with previous version 0.3.3 dated 2022-10-18

Title: R Client for 'Adobe Analytics' API 2.0
Description: Connect to the 'Adobe Analytics' API v2.0 <https://github.com/AdobeDocs/analytics-2.0-apis> which powers 'Analysis Workspace'. The package was developed with the analyst in mind, and it will continue to be developed with the guiding principles of iterative, repeatable, timely analysis.
Author: Ben Woodard [aut, cre], Tim Wilson [aut, ctb], Charles Gallagher [ctb], Mark Edmondson [ctb]
Maintainer: Ben Woodard <benrwoodard@gmail.com>

Diff between adobeanalyticsr versions 0.3.3 dated 2022-10-18 and 0.4.0 dated 2023-11-09

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Package evclass updated to version 2.0.2 with previous version 2.0.1 dated 2023-08-13

Title: Evidential Distance-Based Classification
Description: Different evidential classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule, the evidential neural network, radial basis function neural networks, logistic regression, feed-forward neural networks.
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

Diff between evclass versions 2.0.1 dated 2023-08-13 and 2.0.2 dated 2023-11-09

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New package filecacher with initial version 0.2.3
Package: filecacher
Title: File Cacher
Version: 0.2.3
Description: The main functions in this package are with_cache() and cached_read(). The former is a simple way to cache an R object into a file on disk, using 'cachem'. The latter is a wrapper around any standard read function, but caches both the output and the file list info. If the input file list info hasn't changed, the cache is used; otherwise, the original files are re-read. This can save time if the original operation requires reading from many files, and/or involves lots of processing.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cachem, glue, here, purrr, rlang, vctrs
Suggests: arrow, data.table, dplyr, fs, readr, testthat (>= 3.0.0)
URL: https://github.com/orgadish/filecacher
BugReports: https://github.com/orgadish/filecacher/issues
NeedsCompilation: no
Packaged: 2023-11-09 08:17:04 UTC; orgadish
Author: Or Gadish [aut, cre, cph]
Maintainer: Or Gadish <orgadish@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-09 10:30:02 UTC

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New package BeQut with initial version 0.1.0
Package: BeQut
Title: Bayesian Estimation for Quantile Regression Mixed Models
Version: 0.1.0
Maintainer: Antoine Barbieri <antoine.barbieri@u-bordeaux.fr>
Description: Using a Bayesian estimation procedure, this package fits linear quantile regression models such as linear quantile models, linear quantile mixed models, quantile regression joint models for time-to-event and longitudinal data. The estimation procedure is based on the asymmetric Laplace distribution and the 'JAGS' software is used to get posterior samples (Yang, Luo, DeSantis (2019) <doi:10.1177/0962280218784757>).
Depends: R (>= 3.5.0), survival
Imports: jagsUI, lqmm, MASS
SystemRequirements: JAGS 4.x.y
License: GPL (>= 2.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-09 08:31:52 UTC; abarbieri
Author: Antoine Barbieri [aut, cre], Helene Jacqmin-Gadda [aut]
Repository: CRAN
Date/Publication: 2023-11-09 10:30:06 UTC

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Package Rfast updated to version 2.1.0 with previous version 2.0.9 dated 2023-10-30

Title: A Collection of Efficient and Extremely Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column and row wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. References: a) Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>. b) Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow to the extreme fast. Journal of Data Science, 16(4): 771--780. <doi:10.6339/JDS.201810_16(4).00006>. c) Chatzipantsiou C., Dimitriadis M., Papadakis M. and Tsagris M. (2020). Extremely Efficient Permutation and Bootstrap Hypothesis Tests Using Hypothesis Tests Using R. Journal of Modern Applied Statistical Methods, 18(2), eP2898. <doi:10.48550/arXiv.1806.10947>.
Author: Manos Papadakis [aut, cre, cph], Michail Tsagris [aut], Marios Dimitriadis [ctb], Stefanos Fafalios [aut], Ioannis Tsamardinos [ctb], Matteo Fasiolo [ctb], Giorgos Borboudakis [ctb], John Burkardt [ctb], Changliang Zou [ctb], Kleanthi Lakiotaki [ctb] [...truncated...]
Maintainer: Manos Papadakis <rfastofficial@gmail.com>

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Package CopernicusMarine updated to version 0.1.1 with previous version 0.0.9 dated 2023-08-21

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package PracTools updated to version 1.4.1 with previous version 1.4 dated 2023-05-23

Title: Tools for Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter, Practical Tools for Designing and Weighting Survey Samples (2nd edition, 2018). Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant, Jill A. Dever, Frauke Kreuter, George Zipf
Maintainer: Richard Valliant <valliant@umich.edu>

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Package isoorbi updated to version 1.3.0 with previous version 1.1.0 dated 2023-06-24

Title: Process Orbitrap Isotopocule Data
Description: Read and process isotopocule data from an Orbitrap Isotope Solutions mass spectrometer. Citation: Kantnerova et al. (in review).
Author: Caj Neubauer [aut, cre, cph] , Sebastian Kopf [aut] , Kristyna Kantnerova [aut]
Maintainer: Caj Neubauer <caj.neubauer@colorado.edu>

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Package funmediation updated to version 1.0.2 with previous version 1.0.1 dated 2021-12-15

Title: Functional Mediation for a Distal Outcome
Description: Fits a functional mediation model with a scalar distal outcome. The method is described in detail by Coffman, Dziak, Litson, Chakraborti, Piper & Li (2021) <arXiv:2112.03960>. The model is similar to that of Lindquist (2012) <doi:10.1080/01621459.2012.695640> although allowing a binary outcome as an alternative to a numerical outcome. The current version is a minor bug fix in the vignette. The development of this package was part of a research project supported by National Institutes of Health grants P50 DA039838 from the National Institute of Drug Abuse and 1R01 CA229542-01 from the National Cancer Institute and the NIH Office of Behavioral and Social Science Research. Content is solely the responsibility of the authors and does not necessarily represent the official views of the funding institutions mentioned above. This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNES [...truncated...]
Author: John J. Dziak [aut, cre] , Donna L. Coffman [aut] , Kaylee Litson [aut], Yajnaseni Chakraborti [aut], Runze Li [aut]
Maintainer: John J. Dziak <dziakj1@gmail.com>

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Package covr updated to version 3.6.4 with previous version 3.6.3 dated 2023-10-10

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or 'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Mueller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyz [...truncated...]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package caroline updated to version 0.9.2 with previous version 0.9.0 dated 2022-11-12

Title: A Collection of Database, Data Structure, Visualization, and Utility Functions for R
Description: The caroline R library contains dozens of functions useful for: database migration (dbWriteTable2), database style joins & aggregation (nerge, groupBy & bestBy), data structure conversion (nv, tab2df), legend table making (sstable & leghead), plot annotation (labsegs & mvlabs), data visualization (pies, sparge, & raPlot), character string manipulation (m & pad), file I/O (write.delim), batch scripting and more. The package's greatest contributions lie in the database style merge, aggregation and interface functions as well as in it's extensive use and propagation of row, column and vector names in most functions.
Author: David Schruth
Maintainer: David Schruth <code@anthropoidea.org>

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New package versioning with initial version 0.1.0
Package: versioning
Title: Settings and File I/O using a Configuration YAML File
Version: 0.1.0
Description: R data pipelines commonly require reading and writing data to versioned directories. Each directory might correspond to one step of a multi-step process, where that version corresponds to particular settings for that step and a chain of previous steps that each have their own versions. This package creates a configuration object that makes it easy to read and write versioned data, based on YAML configuration files loaded and saved to each versioned folder.
Depends: R (>= 4.1.0)
Imports: assertthat, data.table, foreign, glue, haven, sf, terra, R6, yaml
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-06 19:38:02 UTC; nathenry
Author: Nathaniel Henry [aut, cre]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>
Repository: CRAN
Date/Publication: 2023-11-09 07:10:02 UTC

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Package text2vec updated to version 0.6.4 with previous version 0.6.3 dated 2022-11-30

Title: Modern Text Mining Framework for R
Description: Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.
Author: Dmitriy Selivanov [aut, cre, cph], Manuel Bickel [aut, cph] , Qing Wang [aut, cph]
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>

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New package RFlocalfdr with initial version 0.8.5
Package: RFlocalfdr
Title: Significance Level for Random Forest Impurity Importance Scores
Version: 0.8.5
Description: Sets a significance level for Random Forest MDI (Mean Decrease in Impurity, Gini or sum of squares) variable importance scores, using an empirical Bayes approach. See Dunne et al. (2022) <doi:10.1101/2022.04.06.487300>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: minpack.lm, sn, fitdistrplus, grDevices, graphics, stats, ranger, randomForest, RFlocalfdr.data, vita
Depends: R (>= 3.5.0)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-09 01:38:54 UTC; dun280
Author: Robert Dunne [aut, cre]
Maintainer: Robert Dunne <rob.dunne@csiro.au>
Repository: CRAN
Date/Publication: 2023-11-09 07:40:02 UTC

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New package facmodTS with initial version 1.0
Package: facmodTS
Title: Time Series Factor Models for Asset Returns
Version: 1.0
Date: 2023-10-27
Description: Supports teaching methods of estimating and testing time series factor models for use in robust portfolio construction and analysis. Unique in providing not only classical least squares, but also modern robust model fitting methods which are not much influenced by outliers. Includes returns and risk decompositions, with user choice of standard deviation, value-at-risk, and expected shortfall risk measures. "Robust Statistics Theory and Methods (with R)", R. A. Maronna, R. D. Martin, V. J. Yohai, M. Salibian-Barrera (2019) <doi:10.1002/9781119214656>.
License: GPL-2
Depends: R (>= 3.5)
Imports: boot, data.table, lars, lattice, leaps, PerformanceAnalytics, PortfolioAnalytics, R.cache, corpcor, methods, quadprog, RobStatTM, robustbase, sandwich, sn, xts, zoo
Suggests: corrplot, HH, lmtest, R.rsp, rugarch, strucchange, tinytest
URL: https://github.com/robustport/facmodTS
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-08 21:25:50 UTC; marti
Author: Doug Martin [cre, aut], Eric Zivot [aut], Sangeetha Srinivasan [aut], Avinash Acharya [ctb], Yi-An Chen [ctb], Kirk Li [ctb], Lingjie Yi [ctb], Justin Shea [ctb], Mido Shammaa [ctb], Jon Spinney [ctb]
Maintainer: Doug Martin <martinrd3d@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-09 07:30:02 UTC

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New package dualScale with initial version 1.0.0
Package: dualScale
Title: Dual Scaling Analysis of Data
Version: 1.0.0
Description: Dual Scaling, developed by Professor Shizuhiko Nishisato (1994, ISBN: 0-9691785-3-6), is a fundamental technique in multivariate analysis used for data scaling and correspondence analysis. Its utility lies in its ability to represent multidimensional data in a lower-dimensional space, making it easier to visualize and understand underlying patterns in complex data. This technique has been implemented to handle various types of data, including Contingency and Frequency data (CF), Multiple-Choice data (MC), Sorting data (SO), Paired-Comparison data (PC), and Rank-Order data (RO), providing users with a powerful tool to explore relationships between variables and observations in various fields, from sociology to ecology, enabling deeper and more efficient analysis of multivariate datasets.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
Imports: eba, ff, ggplot2, ggrepel, grid, Matrix, matrixcalc, stats, RColorBrewer, glue, utils
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2023-11-08 18:55:20 UTC; Rober
Author: Jose G. Clavel [aut] , Shizuiko Nishisato [aut] , Roberto de la Banda [aut, cre] , Antonio Pita [ctb]
Maintainer: Roberto de la Banda <dualScale@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-09 07:10:10 UTC

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Package scitb updated to version 0.1.5 with previous version 0.1.2 dated 2023-11-02

Title: Provides Some Useful Functions for Making Statistical Tables
Description: You can use the functions provided by the package to make various statistical tables, such as baseline data tables. Creates 'Table 1', i.e., a description of the baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. This method was described by Mary L McHugh (2013) <doi:10.11613/bm.2013.018>.
Author: Qiang Liu [aut, cre]
Maintainer: Qiang Liu <dege857@163.com>

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Package fastR2 updated to version 1.2.4 with previous version 1.2.2 dated 2022-03-15

Title: Foundations and Applications of Statistics Using R (2nd Edition)
Description: Data sets and utilities to accompany the second edition of "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2017), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet() function.
Author: Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package wordbankr (with last version 1.0.1) was removed from CRAN

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

2023-10-13 1.0.1

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Package rasterbc updated to version 1.0.2 with previous version 1.0.1 dated 2022-01-18

Title: Access Forest Ecology Layers for British Columbia in 2001-2018
Description: R-based access to a large set of data variables relevant to forest ecology in British Columbia (BC), Canada. Layers are in raster format at 100m resolution in the BC Albers projection, hosted at the Federated Research Data Repository (FRDR) with <doi:10.20383/101.0283>. The collection includes: elevation; biogeoclimatic zone; wildfire; cutblocks; forest attributes from Hansen et al. (2013) <doi:10.1139/cjfr-2013-0401> and Beaudoin et al. (2017) <doi:10.1139/cjfr-2017-0184>; and rasterized Forest Insect and Disease Survey (FIDS) maps for a number of insect pest species, all covering the period 2001-2018. Users supply a polygon or point location in the province of BC, and 'rasterbc' will download the overlapping raster tiles hosted at FRDR, merging them as needed and returning the result in R as a 'SpatRaster' object. Metadata associated with these layers, and code for downloading them from their original sources can be found in the 'github' repository <https://githu [...truncated...]
Author: Dean Koch [aut, cre]
Maintainer: Dean Koch <dkoch@ualberta.ca>

Diff between rasterbc versions 1.0.1 dated 2022-01-18 and 1.0.2 dated 2023-11-09

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