Thu, 02 Feb 2023

Package slendr updated to version 0.5.0 with previous version 0.4.0 dated 2022-09-30

Title: A Simulation Framework for Spatiotemporal Population Genetics
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequen [...truncated...]
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>

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Package romic updated to version 1.1.1 with previous version 1.0.0 dated 2021-07-20

Title: R for High-Dimensional Omic Data
Description: Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.
Author: Sean Hackett [aut, cre] , Calico Life Sciences LLC [cph, fnd]
Maintainer: Sean Hackett <sean@calicolabs.com>

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Package nzilbb.labbcat updated to version 1.2-0 with previous version 1.1-1 dated 2022-05-19

Title: Accessing Data Stored in 'LaBB-CAT' Instances
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20230202.1600 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert.fromont@canterbury.ac.nz>

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Package kyotil updated to version 2023.2-2 with previous version 2022.12-20 dated 2022-12-20

Title: Utility Functions for Statistical Analysis Report Generation and Monte Carlo Studies
Description: Helper functions for creating formatted summary of regression models, writing publication-ready tables to latex files, and running Monte Carlo experiments.
Author: Youyi Fong [cre], Krisztian Sebestyen [aut], Han Sunwoo [aut], Jason Becker [ctb], Bendix Carstensen [ctb], Daryl Morris [ctb], Josh Pasek [ctb], Dennis Chao [ctb], Andri Signorell [ctb], Sue Li [ctb], Jonathan Bartlett [ctb], Christophe Dutang [ctb]
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package imager updated to version 0.42.18 with previous version 0.42.16 dated 2022-12-19

Title: Image Processing Library Based on 'CImg'
Description: Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
Author: Simon Barthelme [aut], David Tschumperle [ctb], Jan Wijffels [ctb], Haz Edine Assemlal [ctb], Shota Ochi [cre]
Maintainer: Shota Ochi <shotaochi1990@gmail.com>

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Package video updated to version 0.1.1 with previous version 0.1.0 dated 2022-07-21

Title: 'Shiny' Extension of 'video.js'
Description: Video interactivity within 'shiny' applications using 'video.js'. Enables the status of the video to be sent from the UI to the server, and allows events such as playing and pausing the video to be triggered from the server.
Author: Ashley Baldry [aut, cre], Steve Heffernan [aut]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>

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Package appler updated to version 0.2.0 with previous version 0.1.4 dated 2022-10-06

Title: 'Apple App Store' and 'iTunes' Data Extraction
Description: Using 'Apple App Store' <https://www.apple.com/app-store/> web scraping and 'iTunes' API <https://performance-partners.apple.com/search-api> to extract content information, app ratings and reviews.
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>

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Package gausscov updated to version 1.0.2 with previous version 1.0.1 dated 2023-01-17

Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the [...truncated...]
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <pldavies44@cantab.net>

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Package sivs updated to version 0.2.6 with previous version 0.2.5 dated 2021-07-20

Title: Stable Iterative Variable Selection
Description: An iterative feature selection method (manuscript submitted) that internally utilizes various Machine Learning methods that have embedded feature reduction in order to shrink down the feature space into a small and yet robust set.
Author: Mehrad Mahmoudian [aut, cre] , Mikko Venaelaeinen [aut, rev] , Riku Klen [aut, ths] , Laura Elo [aut, ths, fnd]
Maintainer: Mehrad Mahmoudian <mehrad.mahmoudian@utu.fi>

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Package opentripplanner updated to version 0.5.1 with previous version 0.5 dated 2023-01-06

Title: Setup and connect to 'OpenTripPlanner'
Description: Setup and connect to 'OpenTripPlanner' (OTP) <http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in 'Java'. The package allows you to manage a local version or connect to remote OTP server to find walking, cycling, driving, or transit routes. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).
Author: Malcolm Morgan [aut, cre] , Marcus Young [aut] , Robin Lovelace [aut] , Layik Hama [ctb]
Maintainer: Malcolm Morgan <m.morgan1@leeds.ac.uk>

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Package omu updated to version 1.0.9 with previous version 1.0.7 dated 2022-08-27

Title: A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection
Description: Facilitates the creation of intuitive figures to describe metabolomics data by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data, and gathers functional orthology and gene data from the KEGG-REST API.
Author: Connor Tiffany [aut, cre]
Maintainer: Connor Tiffany <crtiffany@ucdavis.edu>

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New package roads with initial version 1.1.0
Package: roads
Title: Road Network Projection
Version: 1.1.0
Date: 2023-03-11
URL: https://github.com/LandSciTech/roads, https://landscitech.github.io/roads/
Description: Project road network development based on an existing road network, target locations to be connected by roads and a cost surface. Road projection methods include minimum spanning tree with least cost path (Kruskal's algorithm (1956) <doi:10.2307/2033241>), least cost path (Dijkstra's algorithm (1959) <doi:10.1007/BF01386390>) or snapping. These road network projection methods are ideal for use with land cover change projection models.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Imports: raster, dplyr, igraph, sp, data.table, sf, units, rlang, methods, tidyselect, terra
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, viridis, tmap, bench
VignetteBuilder: knitr
Depends: R (>= 2.10)
BugReports: https://github.com/LandSciTech/roads/issues
NeedsCompilation: no
Packaged: 2023-02-01 17:18:51 UTC; EndicottS
Author: Sarah Endicott [aut, cre] , Kyle Lochhead [aut], Josie Hughes [aut], Patrick Kirby [aut], Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment [cph] , Province of British Columbia [cph]
Maintainer: Sarah Endicott <sarah.endicott@ec.gc.ca>
Repository: CRAN
Date/Publication: 2023-02-02 16:10:02 UTC

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New package rda with initial version 1.2-1
Package: rda
Version: 1.2-1
VersionNote: Archived on 2020-01-01 on CRAN
Title: Shrunken Centroids Regularized Discriminant Analysis
Depends: R (>= 2.10)
Imports: methods
Suggests: covr
Description: Provides functions implementing the shrunken centroids regularized discriminant analysis for classification purpose in high dimensional data. The method is described in Guo at al. (2013) <doi:10.1093/biostatistics/kxj035>.
License: GPL (>= 3)
URL: https://github.com/valentint/rda
BugReports: https://github.com/valentint/rda/issues
Repository: CRAN
Date/Publication: 2023-02-02 16:20:02 UTC
Author: Yaqian Guo [aut], Trevor Hastie [aut], Robert Tibshirani [aut], Valentin Todorov [cre]
Maintainer: Valentin Todorov <valentin@todorov.at>
NeedsCompilation: no
Packaged: 2023-02-01 21:21:44 UTC; valen

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Package mapbayr updated to version 0.9.0 with previous version 0.8.0 dated 2022-09-29

Title: MAP-Bayesian Estimation of PK Parameters
Description: Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in 'mrgsolve', typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format. The performance of the package was described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.
Author: Felicien Le Louedec [aut, cre] , Kyle T Baron [ctb]
Maintainer: Felicien Le Louedec <felicienlelouedec@proton.me>

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Package janitor updated to version 2.2.0 with previous version 2.1.0 dated 2021-01-04

Title: Simple Tools for Examining and Cleaning Dirty Data
Description: The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and explore duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness.
Author: Sam Firke [aut, cre], Bill Denney [ctb], Chris Haid [ctb], Ryan Knight [ctb], Malte Grosser [ctb], Jonathan Zadra [ctb]
Maintainer: Sam Firke <samuel.firke@gmail.com>

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Package gratia updated to version 0.8.1 with previous version 0.7.3 dated 2022-05-10

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre] , Henrik Singmann [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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New package GFDmcv with initial version 0.1.0
Package: GFDmcv
Title: General Hypothesis Testing Problems for Multivariate Coefficients of Variation
Version: 0.1.0
Date: 2023-02-02
Description: Performs test procedures for general hypothesis testing problems for four multivariate coefficients of variation (Ditzhaus and Smaga, 2023 <arXiv:2301.12009>). We can verify the global hypothesis about equality as well as the particular hypotheses defined by contrasts, e.g., we can conduct post hoc tests. We also provide the simultaneous confidence intervals for contrasts.
License: LGPL-2 | LGPL-3 | GPL-2 | GPL-3
Imports: Rcpp (>= 1.0.9), mvtnorm, doParallel, MASS, foreach, Matrix, stringr, HSAUR
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-02-02 13:54:19 UTC; ls
Author: Marc Ditzhaus [aut], Lukasz Smaga [aut, cre]
Maintainer: Lukasz Smaga <ls@amu.edu.pl>
Repository: CRAN
Date/Publication: 2023-02-02 17:00:02 UTC

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New package cols4all with initial version 0.6
Package: cols4all
License: GPL-3
Title: Colors for all
LazyLoad: yes
Description: Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
Version: 0.6
Date: 2023-01-30
Encoding: UTF-8
Depends: R (>= 3.5.0),
Imports: methods, grDevices, stats, abind, png, stringdist, colorspace (>= 2.1)
Suggests: colorblindcheck, kableExtra, knitr, shiny, shinyjs, ggplot2, scales, rmarkdown
URL: https://github.com/mtennekes/cols4all
BugReports: https://github.com/mtennekes/cols4all/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-02-01 21:38:33 UTC; mtes
Author: Martijn Tennekes [aut, cre], Marco Puts [ctb], Achim Zeileis [ctb], Jakub Nowosad [ctb], Robin Lovelace [ctb], Helgasoft [ctb], Matthew Petroff [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-02 16:30:02 UTC

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Package cdrcR updated to version 0.1.0 with previous version 0.0.1 dated 2021-11-19

Title: Load 'CDRC' Data
Description: A wrapper for the 'CDRC' 'API' that returns data frames or 'sf' of 'CDRC' data. The 'API' web reference is:<https://api.cdrc.ac.uk/swagger/index.html>.
Author: Alessia Calafiore [aut, cre]
Maintainer: Alessia Calafiore <aelissa3388@gmail.com>

Diff between cdrcR versions 0.0.1 dated 2021-11-19 and 0.1.0 dated 2023-02-02

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New package BayesDIP with initial version 0.1.1
Package: BayesDIP
Title: Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials
Version: 0.1.1
Date: 2023-1-31
Maintainer: Chen Wang <wangc10@vcu.edu>
Description: Provide early termination phase II trial designs with a decreasingly informative prior (DIP) or a regular Bayesian prior chosen by the user. The program can determine the minimum planned sample size necessary to achieve the user-specified admissible designs. The program can also perform power and expected sample size calculations for the tests in early termination Phase II trials. See Wang C and Sabo RT (2022) <doi:10.18203/2349-3259.ijct20221110>; Sabo RT (2014) <doi:10.1080/10543406.2014.888441>.
License: GPL (>= 2)
URL: <https://github.com/chenw10/BayesDIP>
Imports: stats
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-02-01 18:44:53 UTC; chen
Author: Chen Wang [cre, aut], Roy Sabo [aut]
Repository: CRAN
Date/Publication: 2023-02-02 16:20:05 UTC

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Package DecomposeR updated to version 1.0.6 with previous version 1.0.5 dated 2022-12-02

Title: Empirical Mode Decomposition for Cyclostratigraphy
Description: Tools to apply Ensemble Empirical Mode Decomposition (EEMD) for cyclostratigraphy purposes. Mainly: a new algorithm, extricate, that performs EEMD in seconds, a linear interpolation algorithm using the greatest rational common divisor of depth or time, different algorithms to compute instantaneous amplitude, frequency and ratios of frequencies, and functions to verify and visualise the outputs. The functions were developed during the CRASH project (Checking the Reproducibility of Astrochronology in the Hauterivian). When using for publication please cite Wouters, S., Crucifix, M., Sinnesael, M., Da Silva, A.C., Zeeden, C., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2022, "A decomposition approach to cyclostratigraphic signal processing". Earth-Science Reviews 225 (103894). <doi:10.1016/j.earscirev.2021.103894>.
Author: Sebastien Wouters [aut, cre]
Maintainer: Sebastien Wouters <wouterseb@gmail.com>

Diff between DecomposeR versions 1.0.5 dated 2022-12-02 and 1.0.6 dated 2023-02-02

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Package chatgpt updated to version 0.1.5 with previous version 0.1.4 dated 2023-01-16

Title: Interface to 'ChatGPT' from R
Description: 'OpenAI's 'ChatGPT' <https://chat.openai.com/> coding assistant for 'RStudio'. A set of functions and 'RStudio' addins that aim to help the R developer in tedious coding tasks.
Author: Juan Cruz Rodriguez [aut, cre]
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>

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Package presenter updated to version 0.1.2 with previous version 0.1.1 dated 2021-11-18

Title: Present Data with Style
Description: Consists of custom wrapper functions using packages 'openxlsx', 'flextable', and 'officer' to create highly formatted MS office friendly output of your data frames. These viewer friendly outputs are intended to match expectations of professional looking presentations in business and consulting scenarios. The functions are opinionated in the sense that they expect the input data frame to have certain properties in order to take advantage of the automated formatting.
Author: Harrison Tietze [aut, cre]
Maintainer: Harrison Tietze <Harrison4192@gmail.com>

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New package SampleSizeMeans with initial version 1.2
Package: SampleSizeMeans
Title: Sample Size Calculations for Normal Means
Version: 1.2
Date: 2023-02-01
Description: Sample size requirements calculation using three different Bayesian criteria in the context of designing an experiment to estimate a normal mean or the difference between two normal means. Functions for calculation of required sample sizes for the Average Length Criterion, the Average Coverage Criterion and the Worst Outcome Criterion in the context of normal means are provided. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided. For reference see Joseph L. and B\'elisle P. (1997) <https://www.jstor.org/stable/2988525>.
Imports: stats
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2023-02-01 10:59:00 UTC; Patrick
Author: Lawrence Joseph [aut], Patrick Belisle [aut, cre]
Maintainer: Patrick Belisle <patrickb.stat@gmail.com>
Date/Publication: 2023-02-02 13:10:06 UTC

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New package echoice2 with initial version 0.2.0
Package: echoice2
Title: Choice Models with Economic Foundation
Version: 0.2.0
Date: 2023-01-02
Maintainer: Nino Hardt <me@ninohardt.com>
Description: Implements choice models based on economic theory, including estimation using Markov chain Monte Carlo (MCMC), prediction, and more. Its usability is inspired by ideas from 'tidyverse'. Models include versions of the Hierarchical Multinomial Logit and Multiple Discrete-Continous (Volumetric) models with and without screening. The foundations of these models are described in Allenby, Hardt and Rossi (2019) <doi:10.1016/bs.hem.2019.04.002>. Models with conjunctive screening are described in Kim, Hardt, Kim and Allenby (2022) <doi:10.1016/j.ijresmar.2022.04.001>. Models with set-size variation are described in Hardt and Kurz (2020) <doi:10.2139/ssrn.3418383>.
License: MIT + file LICENSE
URL: http://ninohardt.de/echoice2/
Imports: Rcpp (>= 1.0.1), parallel (>= 4.0), magrittr, stats, graphics, stringr, purrr, tibble (>= 2.1.3), tidyselect (>= 1.2.0), tidyr, rlang (>= 1.0.6), forcats
Depends: R (>= 3.5), dplyr, ggplot2
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
SystemRequirements: OpenMP
NeedsCompilation: yes
Packaged: 2023-02-01 11:34:28 UTC; myself
Author: Nino Hardt [aut, cre]
Repository: CRAN
Date/Publication: 2023-02-02 13:10:02 UTC

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New package OlympicRshiny with initial version 1.0.0
Package: OlympicRshiny
Title: 'Shiny' Application for Olympic Data
Version: 1.0.0
Description: 'Shiny' Application to visualize Olympic Data. From 1896 to 2016. Even Winter Olympics events are included. Data is from Kaggle at <https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results>.
License: MIT + file LICENSE
URL: https://github.com/Amalan-ConStat/OlympicRshiny, https://amalan-con-stat.shinyapps.io/OlympicRshiny/, https://amalan-con-stat.shinyapps.io/olympic/
BugReports: https://github.com/Amalan-ConStat/OlympicRshiny/issues
Depends: R (>= 2.10)
Imports: config (>= 0.3.1), dplyr, forcats, ggplot2, golem (>= 0.3.5), shiny (>= 1.7.4), shinybusy, shinythemes, summarytools
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-02-01 06:36:04 UTC; amala
Author: Amalan Mahendran [cre, aut]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-02 13:00:03 UTC

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New package MetChem with initial version 0.2
Package: MetChem
Version: 0.2
Date: 2023-02-01
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Chemical Structural Similarity Analysis
Description: A new pipeline to explore chemical structural similarity across metabolite. It allows to classify metabolites in structurally-related modules and identify common shared functional groups. KODAMA algorithm is used to highlight structural similarity between metabolites. See Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Depends: R (>= 3.5.0), stats, KODAMA (>= 2.3), httr, XML, fingerprint, rcdk (>= 3.4.3)
Suggests: knitr, rmarkdown, readxl, impute, pheatmap, RColorBrewer
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2023-02-01 07:26:50 UTC; stefano
NeedsCompilation: no
Repository: CRAN
Author: Ebtesam Abdel-Shafy [aut], Tadele Melak [aut], David A. MacIntyre [aut], Giorgia Zadra [aut], Luiz F. Zerbini [aut], Silvano Piazza [aut], Stefano Cacciatore [aut, cre]
Date/Publication: 2023-02-02 13:00:05 UTC

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New package connectapi with initial version 0.1.3.1
Package: connectapi
Title: Utilities for Interacting with the 'Posit Connect' Server API
Version: 0.1.3.1
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
License: MIT + file LICENSE
URL: https://github.com/rstudio/connectapi
Imports: config, dplyr, fs, glue, httr, lifecycle, magrittr, progress, purrr, R6, rlang (>= 0.4.2), tibble, uuid, vctrs (>= 0.3.0), yaml, bit64, jsonlite
Suggests: crayon, flexdashboard, ggplot2, gridExtra, htmltools, knitr, lubridate, processx, rmarkdown, rprojroot, spelling, testthat, rsconnect, webshot2, covr, mockery, devtools
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-02-01 00:02:36 UTC; colearendt
Author: Sean Lopp [aut], Cole Arendt [aut, cre], Posit, PBC [cph, fnd]
Maintainer: Cole Arendt <cole@posit.co>
Repository: CRAN
Date/Publication: 2023-02-02 12:50:02 UTC

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Package SoilHyP updated to version 0.1.7 with previous version 0.1.6 dated 2022-05-25

Title: Soil Hydraulic Properties
Description: Provides functions for (1) soil water retention (SWC) and unsaturated hydraulic conductivity (Ku) (van Genuchten-Mualem (vGM or vG) [1, 2], Peters-Durner-Iden (PDI) [3, 4, 5], Brooks and Corey (bc) [8]), (2) fitting of parameter for SWC and/or Ku using Shuffled Complex Evolution (SCE) optimisation and (3) calculation of soil hydraulic properties (Ku and soil water contents) based on the simplified evaporation method (SEM) [6, 7]. Main references: [1] van Genuchten (1980) <doi:10.2136/sssaj1980.03615995004400050002x>, [2] Mualem (1976) <doi:10.1029/WR012i003p00513>, [3] Peters (2013) <doi:10.1002/wrcr.20548>, [4] Iden and Durner (2013) <doi:10.1002/2014WR015937>, [5] Peters (2014) <doi:10.1002/2014WR015937>, [6] Wind G. P. (1966), [7] Peters and Durner (2008) <doi:10.1016/j.jhydrol.2008.04.016> and [8] Brooks and Corey (1964).
Author: Ullrich Dettmann [aut, cre], Felix Andrews [ctb] which is not on r-cran . The SCEoptim function is adapted, and substantially revised from Brecht Donckels MATLAB code which is in turn adopted from Qingyun Duans MATLAB code), Brecht Donckels [ctb] , [...truncated...]
Maintainer: Ullrich Dettmann <ullrich.dettmann@thuenen.de>

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Package rlibkriging updated to version 0.7-4.2 with previous version 0.7-4.1 dated 2023-01-17

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, and 'lbfgsb_cpp' is a 'C++' wrapper by Colin Fang around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Pascal Have [aut], Yann Richet [aut, cre] , Yves Deville [aut], Conrad Sanderson [ctb], Colin Fang [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>

Diff between rlibkriging versions 0.7-4.1 dated 2023-01-17 and 0.7-4.2 dated 2023-02-02

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Package OCNet updated to version 0.6.0 with previous version 0.5.1 dated 2022-12-15

Title: Optimal Channel Networks
Description: Generate and analyze Optimal Channel Networks (OCNs): oriented spanning trees reproducing all scaling features characteristic of real, natural river networks. As such, they can be used in a variety of numerical experiments in the fields of hydrology, ecology and epidemiology. See Carraro et al. (2020) <doi:10.1002/ece3.6479> for a presentation of the package; Rinaldo et al. (2014) <doi:10.1073/pnas.1322700111> for a theoretical overview on the OCN concept; Furrer and Sain (2010) <doi:10.18637/jss.v036.i10> for the construct used.
Author: Luca Carraro [aut, cre], Florian Altermatt [ctb], Emanuel A. Fronhofer [ctb], Reinhard Furrer [ctb], Isabelle Gounand [ctb], Andrea Rinaldo [ctb], Enrico Bertuzzo [aut]
Maintainer: Luca Carraro <luca.carraro@hotmail.it>

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Package stevetemplates updated to version 0.9.0 with previous version 0.8.0 dated 2022-09-29

Title: Steve's R Markdown Templates
Description: These are my collection of 'R Markdown' templates, mostly for compilation to PDF. These are useful for all things academic and professional, if you are using 'R Markdown' for things like your CV or your articles and manuscripts.
Author: Steven V. Miller
Maintainer: Steven V. Miller <steven.v.miller@gmail.com>

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Package paws.common updated to version 0.5.5 with previous version 0.5.4 dated 2023-01-11

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package schemr updated to version 0.2.0 with previous version 0.1.0 dated 2021-03-10

Title: Convert Images to Usable Color Schemes
Description: A fast and adaptable tool to convert photos and images into usable colour schemes for data visualisation. Contains functionality to extract colour palettes from images, as well for the conversion of images between colour spaces.
Author: Stuart Morrison [aut, cre]
Maintainer: Stuart Morrison <smorrison@ucdavis.edu>

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Package naniar updated to version 1.0.0 with previous version 0.6.1 dated 2021-05-14

Title: Data Structures, Summaries, and Visualisations for Missing Data
Description: Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data. The work is fully discussed at Tierney & Cook (2023) <doi:10.18637/jss.v105.i07>.
Author: Nicholas Tierney [aut, cre] , Di Cook [aut] , Miles McBain [aut] , Colin Fay [aut] , Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb], Andrew Heiss [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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Package LMfilteR updated to version 0.1.3.1 with previous version 0.1.3 dated 2020-10-12

Title: Filter Methods for Parameter Estimation in Linear and Non Linear Regression Models
Description: We present a method based on filtering algorithms to estimate the parameters of linear, i.e. the coefficients and the variance of the error term. The proposed algorithms make use of Particle Filters following Ristic, B., Arulampalam, S., Gordon, N. (2004, ISBN: 158053631X) resampling methods. Parameters of logistic regression models are also estimated using an evolutionary particle filter method.
Author: Christian Llano Robayo [aut, cre], Nazrul Shaikh [aut], Pegu Nilutpal [aut]
Maintainer: Christian Llano Robayo <info@cecareus.com>

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Package emhawkes updated to version 0.9.7 with previous version 0.9.5 dated 2021-02-16

Title: Exponential Multivariate Hawkes Model
Description: Simulate and fitting exponential multivariate Hawkes model. This package simulates a multivariate Hawkes model, introduced by Hawkes (1971) <doi:10.2307/2334319>, with an exponential kernel and fits the parameters from the data. Models with the constant parameters, as well as complex dependent structures, can also be simulated and estimated. The estimation is based on the maximum likelihood method, introduced by introduced by Ozaki (1979) <doi:10.1007/BF02480272>, with 'maxLik' package.
Author: Kyungsub Lee [aut, cre]
Maintainer: Kyungsub Lee <kyungsub@gmail.com>

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Package diemr updated to version 1.1.1 with previous version 1.1 dated 2022-10-19

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2022) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

Diff between diemr versions 1.1 dated 2022-10-19 and 1.1.1 dated 2023-02-02

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Package predict3d (with last version 0.1.3.3) was removed from CRAN

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2019-09-03 0.1.3.3
2019-03-06 0.1.0

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2020-10-02 0.10.2
2019-12-14 0.10.1
2017-02-17 0.10
2015-07-01 0.8
2014-11-04 0.3
2013-03-21 0.2
2013-02-21 0.1

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Package processR (with last version 0.2.7) was removed from CRAN

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2023-01-23 0.2.7
2021-01-07 0.2.6
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2021-10-04 0.1.4

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2020-11-18 2.1.26

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Package analogueExtra (with last version 0.1-1) was removed from CRAN

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2017-06-01 0.1.6
2017-05-20 0.1.5
2017-03-15 0.1.3
2017-03-05 0.1.2
2017-02-12 0.1.1
2016-12-19 0.1.0

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Package JointNets (with last version 2.0.1) was removed from CRAN

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