Sat, 13 Apr 2024

Package testthat updated to version 3.2.1.1 with previous version 3.2.1 dated 2023-12-02

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb] )
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between testthat versions 3.2.1 dated 2023-12-02 and 3.2.1.1 dated 2024-04-13

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Package fanyi updated to version 0.0.7 with previous version 0.0.6 dated 2024-01-08

Title: Translate Words or Sentences via Online Translators
Description: Useful functions to translate text for multiple languages using online translators. For example, by translating error messages and descriptive analysis results into a language familiar to the user, it enables a better understanding of the information, thereby reducing the barriers caused by language. It offers several helper functions to query gene information to help interpretation of interested genes (e.g., marker genes, differential expression genes), and provides utilities to translate 'ggplot' graphics. This package is not affiliated with any of the online translators. The developers do not take responsibility for the invoice it incurs when using this package, especially for exceeding the free quota.
Author: Guangchuang Yu [aut, cre, cph] , Guannan Chen [ctb], Difei Wang [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between fanyi versions 0.0.6 dated 2024-01-08 and 0.0.7 dated 2024-04-13

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Package gdalBindings (with last version 0.1.17) was removed from CRAN

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

2024-01-17 0.1.17
2023-12-18 0.1.10

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Package regcensus (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:

2023-10-03 1.0.1
2023-09-29 1.0.0

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Package rBayesianOptimization updated to version 1.2.1 with previous version 1.2.0 dated 2021-06-17

Title: Bayesian Optimization of Hyperparameters
Description: A Pure R implementation of Bayesian Global Optimization with Gaussian Processes.
Author: Yachen Yan [aut, cre]
Maintainer: Yachen Yan <yanyachen21@gmail.com>

Diff between rBayesianOptimization versions 1.2.0 dated 2021-06-17 and 1.2.1 dated 2024-04-13

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Package MLmetrics updated to version 1.1.3 with previous version 1.1.1 dated 2016-05-13

Title: Machine Learning Evaluation Metrics
Description: A collection of evaluation metrics, including loss, score and utility functions, that measure regression, classification and ranking performance.
Author: Yachen Yan [aut, cre]
Maintainer: Yachen Yan <yanyachen21@gmail.com>

Diff between MLmetrics versions 1.1.1 dated 2016-05-13 and 1.1.3 dated 2024-04-13

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Package LPM updated to version 3.1 with previous version 3.0 dated 2024-03-10

Title: Linear Parametric Models Applied to Hydrological Series
Description: Apply Univariate Long Memory Models, Apply Multivariate Short Memory Models To Hydrological Dataset, Estimate Intensity Duration Frequency curve to rainfall series. NEW -- Calculate the monthly water requirement for herbaceous and arboreal plants.
Author: Corrado Tallerini [aut, cre], Salvatore Grimaldi [aut]
Maintainer: Corrado Tallerini <corrado.tallerini@gmx.com>

Diff between LPM versions 3.0 dated 2024-03-10 and 3.1 dated 2024-04-13

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Package collapse updated to version 2.0.13 with previous version 2.0.12 dated 2024-04-01

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/' [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package marginaleffects updated to version 0.19.0 with previous version 0.18.0 dated 2024-02-05

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
Author: Vincent Arel-Bundock [aut, cre, cph] , Noah Greifer [ctb] , Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package fqar updated to version 0.5.3 with previous version 0.5.2 dated 2024-04-09

Title: Floristic Quality Assessment Tools for R
Description: Tools for downloading and analyzing floristic quality assessment data. See Freyman et al. (2015) <doi:10.1111/2041-210X.12491> for more information about floristic quality assessment and the associated database.
Author: Andrew Gard [aut, cre] , Alexia Myers [aut], Irene Luwabelwa [aut]
Maintainer: Andrew Gard <agard@lakeforest.edu>

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Package tables updated to version 0.9.25 with previous version 0.9.17 dated 2023-05-02

Title: Formula-Driven Table Generation
Description: Computes and displays complex tables of summary statistics. Output may be in LaTeX, HTML, plain text, or an R matrix for further processing.
Author: Duncan Murdoch
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package mirai.promises updated to version 0.5.0 with previous version 0.4.1 dated 2023-12-05

Title: Make 'Mirai' 'Promises'
Description: Allows 'mirai' objects encapsulating asynchronous computations, from the 'mirai' package by Gao (2023) <doi:10.5281/zenodo.7912722>, to be used interchangeably with 'promise' objects from the 'promises' package by Cheng (2021) <https://CRAN.R-project.org/package=promises>. This facilitates their use with packages 'plumber' by Schloerke and Allen (2022) <https://CRAN.R-project.org/package=plumber> and 'shiny' by Cheng, Allaire, Sievert, Schloerke, Xie, Allen, McPherson, Dipert and Borges (2022) <https://CRAN.R-project.org/package=shiny>.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package yatah updated to version 1.0.0 with previous version 0.2.1 dated 2022-11-12

Title: Yet Another TAxonomy Handler
Description: Provides functions to manage taxonomy when lineages are described with strings and ranks separated with special patterns like "|*__" or ";*__".
Author: Antoine Bichat [aut, cre]
Maintainer: Antoine Bichat <antoine.bichat@proton.me>

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Package CausalGPS updated to version 0.4.2 with previous version 0.4.1 dated 2023-09-29

Title: Matching on Generalized Propensity Scores with Continuous Exposures
Description: Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Author: Naeem Khoshnevis [aut, cre] , Xiao Wu [aut] , Danielle Braun [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>

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Package SDPDmod updated to version 0.0.5 with previous version 0.0.4 dated 2024-03-04

Title: Spatial Dynamic Panel Data Modeling
Description: Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison. Bayesian model comparison methods were described by 'LeSage' (2014) <doi:10.1016/j.spasta.2014.02.002>. The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010) <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010) <doi:10.1017/S0266466609100099>.
Author: Rozeta Simonovska [aut, cre]
Maintainer: Rozeta Simonovska <simonovska.r@gmail.com>

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Package atime updated to version 2024.4.12 with previous version 2024.3.5 dated 2024-03-08

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package kerastuneR updated to version 0.1.0.7 with previous version 0.1.0.6 dated 2023-09-03

Title: Interface to 'Keras Tuner'
Description: 'Keras Tuner' <https://keras-team.github.io/keras-tuner/> is a hypertuning framework made for humans. It aims at making the life of AI practitioners, hypertuner algorithm creators and model designers as simple as possible by providing them with a clean and easy to use API for hypertuning. 'Keras Tuner' makes moving from a base model to a hypertuned one quick and easy by only requiring you to change a few lines of code.
Author: Turgut Abdullayev [aut, cre], Google Inc. [cph]
Maintainer: Turgut Abdullayev <turqut.a.314@gmail.com>

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Package forestploter updated to version 1.1.2 with previous version 1.1.1 dated 2023-09-23

Title: Create a Flexible Forest Plot
Description: Create a forest plot based on the layout of the data. Confidence intervals in multiple columns by groups can be done easily. Editing the plot, inserting/adding text, applying a theme to the plot, and much more.
Author: Alimu Dayimu [aut, cre]
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>

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Package wikiTools updated to version 1.2.4 with previous version 0.0.6 dated 2022-03-25

Title: Tools for Wikidata and Wikipedia
Description: A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Author: Modesto Escobar [aut, cph, cre] , Angel Zazo [aut], Carlos Prieto [aut] , David Barrios [aut], Cristina Calvo [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

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Package BPrinStratTTE updated to version 0.0.7 with previous version 0.0.2 dated 2023-12-20

Title: Causal Effects in Principal Strata Defined by Antidrug Antibodies
Description: Bayesian models to estimate causal effects of biological treatments on time-to-event endpoints in clinical trials with principal strata defined by the occurrence of antidrug antibodies. The methodology is based on Frangakis and Rubin (2002) <doi:10.1111/j.0006-341x.2002.00021.x> and Imbens and Rubin (1997) <doi:10.1214/aos/1034276631>, and here adapted to a specific time-to-event setting.
Author: Christian Stock [aut, cre] , Emma Torrini [aut], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>

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New package optimall with initial version 1.1.0
Package: optimall
Title: Allocate Samples Among Strata
Version: 1.1.0
Maintainer: Jasper Yang <jbyang@uw.edu>
Description: Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934) <doi:10.2307/2342192> or Wright (2012) <doi:10.1080/00031305.2012.733679> allocation, split strata based on quantiles or values of known variables, randomly select samples from strata, allocate sampling waves iteratively, and organize a complex survey design. Also includes a Shiny application for observing the effects of different strata splits.
License: GPL-3
URL: https://github.com/yangjasp/optimall
BugReports: https://github.com/yangjasp/optimall/issues
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.5), glue (>= 1.4.0), magrittr (>= 2.0.0), methods (>= 4.0.0), rlang (>= 0.2.2), stats (>= 4.0.2), tibble (>= 1.4.2), utils (>= 3.5.0),
Suggests: bslib (>= 0.2.4), DiagrammeR (>= 1.0.0), DT (>= 0.15), datasets, globals (>= 0.12), knitr (>= 1.28), rmarkdown (>= 2.7), shiny (>= 1.6.0), shinytest (>= 1.4.0), survey (>= 4.0), testthat (>= 3.0.2), webshot (>= 0.5)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-12 18:28:50 UTC; jasper
Author: Jasper Yang [aut, cre], Pamela Shaw [aut], Bryan Shepherd [ctb], Thomas Lumley [ctb], Gustavo Amorim [rev]
Repository: CRAN
Date/Publication: 2024-04-13 07:50:02 UTC

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Package Families updated to version 2.0.2 with previous version 2.0.1 dated 2024-03-28

Title: Kinship Ties in (Virtual) Multi-Generation Populations
Description: Tools to study lineages, grandparenthood, loss of close relatives, kinship networks and other topics in multi-generation populations.
Author: Frans Willekens [aut, cre]
Maintainer: Frans Willekens <willekens@nidi.nl>

Diff between Families versions 2.0.1 dated 2024-03-28 and 2.0.2 dated 2024-04-13

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Package bqror updated to version 1.7.0 with previous version 1.6.1 dated 2023-05-06

Title: Bayesian Quantile Regression for Ordinal Models
Description: Package provides functions for estimation and inference in Bayesian quantile regression with ordinal outcomes. An ordinal model with 3 or more outcomes (labeled OR1 model) is estimated by a combination of Gibbs sampling and Metropolis-Hastings (MH) algorithm. Whereas an ordinal model with exactly 3 outcomes (labeled OR2 model) is estimated using a Gibbs sampling algorithm. The summary output presents the posterior mean, posterior standard deviation, 95% credible intervals, and the inefficiency factors along with the two model comparison measures – logarithm of marginal likelihood and the deviance information criterion (DIC). The package also provides functions for computing the covariate effects and other functions that aids either the estimation or inference in quantile ordinal models. Rahman, M. A. (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian Analysis, 11(1): 1-24 <doi: 10.1214/15-BA939>. Yu, K., and Moyeed, R. A. (2001). “Bayesian Quantile Regression.” St [...truncated...]
Author: Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391@gmail.com>

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Package scorecard updated to version 0.4.4 with previous version 0.4.3 dated 2023-08-08

Title: Credit Risk Scorecard
Description: The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

Diff between scorecard versions 0.4.3 dated 2023-08-08 and 0.4.4 dated 2024-04-13

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Package frailtypack (with last version 3.6.0) was removed from CRAN

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

2024-03-15 3.6.0
2023-11-25 3.5.1

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Package PDXpower (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:

2024-04-01 1.0.1
2024-03-11 1.0.0

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Package mapmisc (with last version 2.0.9) was removed from CRAN

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

2024-04-11 2.0.9

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Package rtpcr updated to version 1.0.3 with previous version 1.0.2 dated 2024-04-10

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>, 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', different datasets have been employed in the examples and the outputs ar [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

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Package KEPTED updated to version 0.2.0 with previous version 0.1.1 dated 2024-04-11

Title: Kernel-Embedding-of-Probability Test for Elliptical Distribution
Description: Provides an implementation of a kernel-embedding of probability test for elliptical distribution. This is an asymptotic test for elliptical distribution under general alternatives, and the location and shape parameters are assumed to be unknown. Some side-products are posted, including the transformation between rectangular and polar coordinates and two product-type kernel functions. See Tang and Li (2024) <doi:10.48550/arXiv.2306.10594> for details.
Author: Yin Tang [aut, cre], Bing Li [cph, aut]
Maintainer: Yin Tang <yqt5219@psu.edu>

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