Tue, 09 May 2023

Package nmw updated to version 0.1.5 with previous version 0.1.4 dated 2018-04-10

Title: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description: This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.
Author: Kyun-Seop Bae
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package WebPower updated to version 0.9.2 with previous version 0.9.0 dated 2023-04-20

Title: Basic and Advanced Statistical Power Analysis
Description: This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.
Author: Zhiyong Zhang [aut, cre], Yujiao Mai [aut], Miao Yang [ctb], Ziqian Xu [ctb], Conor McNamara [ctb]
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>

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Package tidymv updated to version 3.4.2 with previous version 3.3.2 dated 2022-09-04

Title: Tidy Model Visualisation for Generalised Additive Models
Description: Provides functions for visualising generalised additive models and getting predicted values using tidy tools from the 'tidyverse' packages.
Author: Stefano Coretta [aut, cre], Jacolien van Rij [cph] , Martijn Wieling [cph]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

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Package rstac updated to version 0.9.2-3 with previous version 0.9.2-2 dated 2023-02-01

Title: Client Library for SpatioTemporal Asset Catalog
Description: Provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 1.0.0 (and older) of the STAC specification (<https://github.com/radiantearth/stac-spec>). For further details see Simoes et al. (2021) <doi:10.1109/IGARSS47720.2021.9553518>.
Author: Rolf Simoes [aut], Felipe Carvalho [aut, cre], Brazil Data Cube Team [aut], National Institute for Space Research [cph]
Maintainer: Felipe Carvalho <lipecaso@gmail.com>

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Package flashlight updated to version 0.9.0 with previous version 0.8.0 dated 2021-04-21

Title: Shed Light on Black Box Machine Learning Models
Description: Shed light on black box machine learning models by the help of model performance, variable importance, global surrogate models, ICE profiles, partial dependence (Friedman J. H. (2001) <doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W. (2016) <arXiv:1612.08468>), further effects plots, interaction strength, and variable contribution breakdown (Gosiewska and Biecek (2019) <arxiv:1903.11420>). All tools are implemented to work with case weights and allow for stratified analysis. Furthermore, multiple flashlights can be combined and analyzed together.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package WeightIt updated to version 0.14.1 with previous version 0.14.0 dated 2023-04-12

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include propensity score weighting using generalized linear models, gradient boosting machines, the covariate balancing propensity score algorithm, Bayesian additive regression trees, and SuperLearner, and directly estimating balancing weights using entropy balancing, energy balancing, and optimization-based weights. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. See the vignette "Installing Supporting Packages" for instructions on how to install any package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package skilljaR updated to version 0.1.0 with previous version 0.0.1 dated 2021-10-18

Title: Connect to Your 'Skilljar' Data
Description: Functions that simplify calls to the 'Skilljar' API. See <https://api.skilljar.com/docs/> for documentation on the 'Skilljar' API. This package is not supported by 'Skilljar'.
Author: Chris Umphlett [aut, cre]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

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Package rzmq updated to version 0.9.9 with previous version 0.9.8 dated 2021-05-04

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <https://zeromq.org/> for more information).
Author: Whit Armstrong [aut], Michael Schubert [ctb], Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package tidytlg updated to version 0.1.1 with previous version 0.1.0 dated 2023-05-05

Title: Create TLGs using the 'tidyverse'
Description: Generate tables, listings, and graphs (TLG) using 'tidyverse.' Tables can be created functionally, using a standard TLG process, or by specifying table and column metadata to create generic analysis summaries. The 'envsetup' package can also be leveraged to create environments for table creation.
Author: Nicholas Masel [aut], Steven Haesendonckx [aut], Pelagia Alexandra Papadopoulou [aut], Sheng-Wei Wang [aut], Eli Miller [aut, cre] , Nathan Kosiba [aut] , Aidan Ceney [aut] , Janssen R&D [cph, fnd], David Hugh-Jones [cph]
Maintainer: Eli Miller <eli.miller@atorusresearch.com>

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Package spiro updated to version 0.2.0 with previous version 0.1.2 dated 2022-11-15

Title: Manage Data from Cardiopulmonary Exercise Testing
Description: Import, process, summarize and visualize raw data from metabolic carts. See Robergs, Dwyer, and Astorino (2010) <doi:10.2165/11319670-000000000-00000> for more details on data processing.
Author: Simon Nolte [aut, cre] , Manuel Ramon [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/541>), James Hunter [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/541>)
Maintainer: Simon Nolte <s.nolte@dshs-koeln.de>

Diff between spiro versions 0.1.2 dated 2022-11-15 and 0.2.0 dated 2023-05-09

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Permanent link

Package SheetReader updated to version 1.1.0 with previous version 1.0.2 dated 2022-04-08

Title: Parse xlsx Files
Description: Uses C++ via the 'Rcpp' package to parse modern Excel files ('.xlsx'). Memory usage is kept minimal by decompressing only parts of the file at a time, while employing multiple threads to achieve significant runtime reduction. Uses <https://github.com/richgel999/miniz> and <https://github.com/lemire/fast_double_parser>.
Author: Felix Henze [aut, cre], Rich Geldreich [ctb, cph] , Daniel Lemire [ctb, cph]
Maintainer: Felix Henze <felixhenze0@gmail.com>

Diff between SheetReader versions 1.0.2 dated 2022-04-08 and 1.1.0 dated 2023-05-09

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Package shapviz updated to version 0.8.0 with previous version 0.7.0 dated 2023-04-10

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre], Adrian Stando [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between shapviz versions 0.7.0 dated 2023-04-10 and 0.8.0 dated 2023-05-09

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More information about shapviz at CRAN
Permanent link

Package rbioapi updated to version 0.7.9 with previous version 0.7.8 dated 2023-05-02

Title: User-Friendly R Interface to Biologic Web Services' API
Description: Currently fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING, and UniProt! The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services. In a way that insulates the user from the technicalities of using web services API and creates a unified and easy-to-use interface to biological and medical web services. This is an ongoing project; New databases and services will be added periodically. Feel free to suggest any databases or services you often use.
Author: Moosa Rezwani [aut, cre]
Maintainer: Moosa Rezwani <moosa.rezwani@gmail.com>

Diff between rbioapi versions 0.7.8 dated 2023-05-02 and 0.7.9 dated 2023-05-09

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Permanent link

Package MDFS updated to version 1.5.3 with previous version 1.5.1 dated 2023-04-11

Title: MultiDimensional Feature Selection
Description: Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.
Author: Radoslaw Piliszek [aut, cre], Krzysztof Mnich [aut], Pawel Tabaszewski [aut], Szymon Migacz [aut], Andrzej Sulecki [aut], Witold Remigiusz Rudnicki [aut]
Maintainer: Radoslaw Piliszek <r.piliszek@uwb.edu.pl>

Diff between MDFS versions 1.5.1 dated 2023-04-11 and 1.5.3 dated 2023-05-09

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More information about MDFS at CRAN
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Package itscalledsoccer updated to version 0.2.2 with previous version 0.2.1 dated 2022-11-07

Title: American Soccer Analysis API Client
Description: Provides a wrapper around the same API <https://app.americansocceranalysis.com/api/v1/__docs__/> that powers the American Soccer Analysis app.
Author: Tyler Richardett [aut, cre], American Soccer Analysis [cph]
Maintainer: Tyler Richardett <tyler.richardett@gmail.com>

Diff between itscalledsoccer versions 0.2.1 dated 2022-11-07 and 0.2.2 dated 2023-05-09

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Package finalsize updated to version 0.2.0 with previous version 0.1 dated 2022-12-05

Title: Calculate the Final Size of an Epidemic
Description: Calculate the final size of a susceptible-infectious-recovered epidemic in a population with demographic variation in contact patterns and susceptibility to disease, as discussed in Miller (2012) <doi:10.1007/s11538-012-9749-6>.
Author: Pratik Gupte [aut, cre, cph] , Edwin Van Leeuwen [aut, cph] , Adam Kucharski [aut, cph] , Rosalind Eggo [ctb] , Hugo Gruson [ctb] , Thibaut Jombart [ctb] , Andree Valle-Campos [ctb] , Joshua W. Lambert [rev]
Maintainer: Pratik Gupte <pratik.gupte@lshtm.ac.uk>

Diff between finalsize versions 0.1 dated 2022-12-05 and 0.2.0 dated 2023-05-09

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Package PrInDT updated to version 1.0.1 with previous version 1.0 dated 2023-04-12

Title: Prediction and Interpretation in Decision Trees for Classification and Regression
Description: Optimization of conditional inference trees from the package 'party' for classification and regression. For optimization, the model space is searched for the best tree on the full sample by means of repeated subsampling. Restrictions are allowed so that only trees are accepted which do not include pre-specified uninterpretable split results (cf. Weihs & Buschfeld, 2021a). The function PrInDT() represents the basic resampling loop for 2-class classification (cf. Weihs & Buschfeld, 2021a). The function RePrInDT() (repeated PrInDT()) allows for repeated applications of PrInDT() for different percentages of the observations of the large and the small classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested PrInDT()) allows for an extra layer of subsampling for a specific factor variable (cf. Weihs & Buschfeld, 2021b). The functions PrInDTMulev() and PrInDTMulab() deal with multilevel and multilabel classification. In addition to these PrInDT() variants for c [...truncated...]
Author: Claus Weihs [aut, cre], Sarah Buschfeld [aut], Niklas Nitsch [ctb]
Maintainer: Claus Weihs <claus.weihs@tu-dortmund.de>

Diff between PrInDT versions 1.0 dated 2023-04-12 and 1.0.1 dated 2023-05-09

 DESCRIPTION           |    6 +++---
 MD5                   |   48 ++++++++++++++++++++++++------------------------
 R/FindSubstr.R        |    8 +++++---
 R/NesPrInDT.R         |    8 ++++----
 R/PrInDT.R            |   14 +++++++++-----
 R/PrInDTAll.R         |    6 +++---
 R/PrInDTAllparts.R    |    6 +++---
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 25 files changed, 114 insertions(+), 99 deletions(-)

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Package dsfa updated to version 2.0.1 with previous version 2.0.0 dated 2023-02-03

Title: Distributional Stochastic Frontier Analysis
Description: Framework to fit distributional stochastic frontier models. Casts the stochastic frontier model into the flexible framework of distributional regression or otherwise known as General Additive Models of Location, Scale and Shape (GAMLSS). Allows for linear, non-linear, random and spatial effects on all the parameters of the distribution of the output, e.g. effects on the production or cost function, heterogeneity of the noise and inefficiency. Available distributions are the normal-halfnormal and normal-exponential distribution. Estimation via the fast and reliable routines of the 'mgcv' package. For more details see Schmidt R, Kneib T (2022) <doi:10.48550/arXiv.2208.10294>.
Author: Rouven Schmidt [aut, cre]
Maintainer: Rouven Schmidt <rouven.schmidt@tu-clausthal.de>

Diff between dsfa versions 2.0.0 dated 2023-02-03 and 2.0.1 dated 2023-05-09

 DESCRIPTION             |    8 +--
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 33 files changed, 607 insertions(+), 218 deletions(-)

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Package cbcTools updated to version 0.3.0 with previous version 0.2.0 dated 2023-02-28

Title: Design and Evaluate Choice-Based Conjoint Survey Experiments
Description: Design and evaluate choice-based conjoint survey experiments in R. Generate survey designs, including randomized designs and Bayesian D-efficient designs as well as designs with "no choice" options and labeled designs. Conveniently inspect the design balance and overlap, and simulate choice data for a survey design either randomly or according to a multinomial or mixed logit utility model defined by user-provided prior parameters. Conduct power analyses on a survey design by estimating the same model multiple times using different subsets of the data to simulate different sample sizes. Choice simulation and model estimation are handled using the 'logitr' package, and Bayesian D-efficient designs are obtained using the 'idefix' package. For more details see Helveston (2023) <doi:10.18637/jss.v105.i10> and Traets et al (2020) <doi:10.18637/jss.v096.i03>.
Author: John Helveston [cre, aut, cph]
Maintainer: John Helveston <john.helveston@gmail.com>

Diff between cbcTools versions 0.2.0 dated 2023-02-28 and 0.3.0 dated 2023-05-09

 DESCRIPTION                  |    6 
 MD5                          |   17 +-
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 README.md                    |    7 
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 man/cbc_design.Rd            |   23 +--
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 10 files changed, 286 insertions(+), 138 deletions(-)

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New package soilfoodwebs with initial version 1.0.2
Package: soilfoodwebs
Title: Soil Food Web Analysis
Version: 1.0.2
Maintainer: Robert Buchkowski <robert.buchkowski@gmail.com>
Description: Analyzing soil food webs or any food web measured at equilibrium. The package calculates carbon and nitrogen fluxes and stability properties using methods described by Hunt et al. (1987) <doi:10.1007/BF00260580>, de Ruiter et al. (1995) <doi:10.1126/science.269.5228.1257>, Holtkamp et al. (2011) <doi:10.1016/j.soilbio.2010.10.004>, and Buchkowski and Lindo (2021) <doi:10.1111/1365-2435.13706>. The package can also manipulate the structure of the food web as well as simulate food webs away from equilibrium and run decomposition experiments.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stringr (>= 1.4.0), diagram (>= 1.6.5), graphics (>= 4.1.0), quadprog (>= 1.5-8), lpSolve (>= 5.6.15), rootSolve (>= 1.8.2.2), deSolve (>= 1.28)
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-09 00:13:32 UTC; rober
Author: Robert Buchkowski [aut, cre, cph], Zoe Lindo [aut], Carlos Barreto [aut]
Repository: CRAN
Date/Publication: 2023-05-09 16:50:02 UTC

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New package ISAR with initial version 0.1.10
Package: ISAR
Title: Introduction to Sports Analytics using R (ISAR) Data
Version: 0.1.10
Maintainer: Ryan Elmore <Ryan.Elmore@du.edu>
Description: We provide data sets used in the forthcoming textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2024). The package currently contains sixteen datasets and should be published in early 2024.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
URL: https://github.com/rtelmore/ISAR
BugReports: https://github.com/rtelmore/ISAR/issues
NeedsCompilation: no
Packaged: 2023-05-09 04:17:17 UTC; Ryan
Author: Ryan Elmore [cre, aut], Andrew Urbaczewski [aut]
Repository: CRAN
Date/Publication: 2023-05-09 17:00:02 UTC

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Package altdoc (with last version 0.1.0) was removed from CRAN

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

2022-08-30 0.1.0

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New package WCluster with initial version 1.1.0
Package: WCluster
Title: Clustering and PCA with Weights, and Data Nuggets Clustering
Version: 1.1.0
Date: 2023-5-1
Author: Yajie Duan [aut, cre], Javier Cabrera [aut], Ge Cheng [aut]
Maintainer: Yajie Duan <yajieritaduan@gmail.com>
Description: K-means clustering, hierarchical clustering, and PCA with observational weights and/or variable weights. It also includes the corresponding functions for data nuggets which serve as representative samples of large datasets. Cherasia et al., (2022) <doi:10.1007/978-3-031-22687-8_20>. Amaratunga et al., (2009) <doi:10.1002/9780470317129>.
Depends: R (>= 3.5.0), stats, datanugget(>= 1.2.1)
Imports: cluster
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-08 18:02:08 UTC; yd254
Repository: CRAN
Date/Publication: 2023-05-09 09:10:05 UTC

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New package shiny.exe with initial version 0.1.0
Package: shiny.exe
Title: Schedule a Task that Runs a shinyApp then Creates a Shortcut in Current Directory
Version: 0.1.0
Description: Launch an application by a simple click without opening R or RStudio. The package has 2 functions of which only one is essential in its use, shiny.exe(). It generates a script in the open shiny project then creates a task that executes this script. After creating the task, the function is responsible for creating a shortcut in the same folder that allows you to launch the task by clicking.If you set host = 'public', the application will be launched on the public server to which you are connected. Thus, all other devices connected to the same server will be able to access the application through the link of your 'IPv4' extended by the port. You can stop the application by leaving the terminal opened by the shortcut.
License: GPL-2
URL: https://github.com/AODiakite
Encoding: UTF-8
Suggests: shiny, knitr, taskscheduleR, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-08 19:06:54 UTC; abdouloudoussdiakite
Author: Abdoul Oudouss Diakite [aut, cre]
Maintainer: Abdoul Oudouss Diakite <abdouloudoussdiakite@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-09 09:20:02 UTC

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New package MARSGWR with initial version 0.1.0
Package: MARSGWR
Title: A Hybrid Spatial Model for Capturing Spatially Varying Relationships Between Variables in the Data
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: It is a hybrid spatial model that combines the strength of two widely used regression models, MARS (Multivariate Adaptive Regression Splines) and GWR (Geographically Weighted Regression) to provide an effective approach for predicting a response variable at unknown locations. The MARS model is used in the first step of the development of a hybrid model to identify the most important predictor variables that assist in predicting the response variable. For method details see, Friedman, J.H. (1991). <DOI:10.1214/aos/1176347963>.The GWR model is then used to predict the response variable at testing locations based on these selected variables that account for spatial variations in the relationships between the variables. This hybrid model can improve the accuracy of the predictions compared to using an individual model alone.This developed hybrid spatial model can be useful particularly in cases where the relationship between the response variable and predictor variables is complex an [...truncated...]
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats, qpdf, numbers, earth
NeedsCompilation: no
Packaged: 2023-05-08 18:23:03 UTC; nobin ch paul
Author: Nobin Chandra Paul [aut, cre, cph], Anil Rai [aut], Ankur Biswas [aut], Tauqueer Ahmad [aut], Dhananjay D. Nangare [aut], Bhaskar B. Gaikwad [aut]
Maintainer: Nobin Chandra Paul <nobin.paul@icar.gov.in>
Repository: CRAN
Date/Publication: 2023-05-09 09:20:05 UTC

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New package fetch with initial version 0.1.2
Package: fetch
Title: Fetch Data from Various Data Sources
Version: 0.1.2
Maintainer: David Bosak <dbosak01@gmail.com>
Description: Contains functions to fetch data from various data sources. The user first creates a catalog of objects from a data source, then fetches data from the catalog. The package provides an easy way to access data from many different types of sources.
Encoding: UTF-8
License: CC0
URL: https://fetch.r-sassy.org
BugReports: https://github.com/dbosak01/fetch/issues
Depends: R (>= 4.1)
Imports: readr, readxl, haven, crayon, tibble, foreign
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-08 17:13:18 UTC; dbosa
Author: David Bosak [aut, cre], Raphael Huang [ctb], Kevin Kramer [ctb], Archytas Clinical Solutions [cph]
Repository: CRAN
Date/Publication: 2023-05-09 09:10:02 UTC

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New package BayesMortalityPlus with initial version 0.1.0
Package: BayesMortalityPlus
Title: Bayesian Mortality Modelling
Version: 0.1.0
Author: Laboratorio de Matematica Aplicada
Maintainer: Luiz Fernando Figueiredo <labmapackage@gmail.com>
Description: Fit Bayesian graduation mortality using the Heligman-Pollard model, as seen in Heligman, L., & Pollard, J. H. (1980) <doi:10.1017/S0020268100040257> and Dellaportas, Petros, et al. (2001) <doi:10.1111/1467-985X.00202>, and dynamic linear model (Campagnoli, P., Petris, G., and Petrone, S. (2009) <doi:10.1007/b135794_2>). While Heligman-Pollard has parameters with a straightforward interpretation yielding some rich analysis, the dynamic linear model provides a very flexible adjustment of the mortality curves by controlling the discount factor value. Closing methods for both Heligman-Pollard and dynamic linear model were also implemented according to Dodd, Erengul, et al. (2018) <https://www.jstor.org/stable/48547511>. The Bayesian Lee-Carter model is also implemented to fit historical mortality tables time series to predict the mortality in the following years and to do improvement analysis, as seen in Lee, R. D., & Carter, L. R. (1992) <doi:10.1080/016 [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), utils, ggplot2, magrittr, dplyr
Imports: MASS, progress, tidyr, scales
NeedsCompilation: no
Packaged: 2023-05-08 20:32:57 UTC; l_fer
Repository: CRAN
Date/Publication: 2023-05-09 09:30:06 UTC

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New package autoEnsemble with initial version 0.2
Package: autoEnsemble
Title: Automated Stacked Ensemble Classifier for Severe Class Imbalance
Version: 0.2
Depends: R (>= 3.5.0),
Description: An AutoML algorithm is developed to construct homogeneous or heterogeneous stacked ensemble models using specified base-learners. Various criteria are employed to identify optimal models, enhancing diversity among them and resulting in more robust stacked ensembles. The algorithm optimizes the model by incorporating an increasing number of top-performing models to create a diverse combination. Presently, only models from 'h2o.ai' are supported.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: h2o (>= 3.34.0.0), h2otools (>= 0.3), curl (>= 4.3.0)
URL: https://github.com/haghish/autoEnsemble, https://www.sv.uio.no/psi/english/people/academic/haghish/
BugReports: https://github.com/haghish/autoEnsemble/issues
NeedsCompilation: no
Packaged: 2023-05-08 21:38:36 UTC; U-Shaped-Valley
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@uio.no>
Repository: CRAN
Date/Publication: 2023-05-09 09:30:02 UTC

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New package ZIPG with initial version 1.0
Package: ZIPG
Title: Zero-Inflated Poisson-Gamma Regression
Version: 1.0
Author: Roulan Jiang [aut, cre], Tianying Wang [aut]
Maintainer: Roulan Jiang <roulan2000@gmail.com>
Description: We provide a flexible Zero-inflated Poisson-Gamma Model (ZIPG) by connecting both the mean abundance and the variability to different covariates, and build valid statistical inference procedures for both parameter estimation and hypothesis testing. These functions can be used to analyze microbiome count data with zero-inflation and overdispersion. The model is discussed in Jiang et al (2023) <doi:10.1080/01621459.2022.2151447>.
License: GPL (>= 2)
URL: https://github.com/roulan2000/ZIPG
BugReports: https://github.com/roulan2000/ZIPG/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: optimr, pscl, MASS
NeedsCompilation: no
Packaged: 2023-05-08 14:06:15 UTC; roulan2000
Repository: CRAN
Date/Publication: 2023-05-09 09:00:05 UTC

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New package tidygam with initial version 0.2.0
Package: tidygam
Title: Tidy Prediction and Plotting of Generalised Additive Models
Version: 0.2.0
Date: 2023-05-08
Description: Provides functions that compute predictions from Generalised Additive Models (GAMs) fitted with 'mgcv' and return them as a tibble. These can be plotted with a generic plot()-method that uses 'ggplot2' or plotted as any other data frame. The main function is predict_gam().
License: MIT + file LICENSE
URL: https://github.com/stefanocoretta/tidygam, https://stefanocoretta.github.io/tidygam/
BugReports: https://github.com/stefanocoretta/tidygam/issues
Encoding: UTF-8
LazyData: true
Imports: cli, dplyr, ggplot2, glue, insight, magrittr, mgcv, rlang, stringr, tibble, tidyr, tidyselect
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Language: en_GB
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-05-08 13:02:33 UTC; ste
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-09 08:50:02 UTC

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New package StockDistFit with initial version 1.0.0
Package: StockDistFit
Title: Fit Stock Price Distributions
Version: 1.0.0
Description: The 'StockDistFit' package provides functions for fitting probability distributions to stock price data. The package uses maximum likelihood estimation to find the best-fitting distribution for a given stock. It also offers a function to fit several distributions to one or more assets and compare the distribution with the Akaike Information Criterion (AIC) and then pick the best distribution. References are as follows: Siew et al. (2008) <https://www.jstage.jst.go.jp/article/jappstat/37/1/37_1_1/_pdf/-char/ja> and Benth et al. (2008) <https://books.google.co.ke/books?hl=en&lr=&id=MHNpDQAAQBAJ&oi=fnd&pg=PR7&dq=Stochastic+modeling+of+commodity+prices+using+the+Variance+Gamma+(VG)+model.+&ots=YNIL2QmEYg&sig=XZtGU0lp4oqXHVyPZ-O8x5i7N3w&redir_esc=y#v=onepage&q&f=false>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, fGarch, fBasics, fitdistrplus, xts, stats, magrittr, zoo, quantmod, utils, ghyp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-08 17:10:24 UTC; Wagathu
Author: Brian Njuguna [aut, cre] , Stanely Sayianka [ctb]
Maintainer: Brian Njuguna <briannjuguna133@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-09 09:00:08 UTC

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New package simplace with initial version 5.0.11
Package: simplace
Title: Interface to Use the Modelling Framework 'SIMPLACE'
Version: 5.0.11
Date: 2023-05-08
Encoding: UTF-8
Author: Gunther Krauss
Maintainer: Gunther Krauss <guntherkrauss@uni-bonn.de>
Description: Interface to interact with the modelling framework 'SIMPLACE' and to parse the results of simulations.
License: GPL-2
SystemRequirements: Java (>= 11.0)
Imports: rJava (>= 0.9-13)
LazyLoad: yes
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Repository: CRAN
Repository/R-Forge/Project: simplace
Repository/R-Forge/Revision: 64
Repository/R-Forge/DateTimeStamp: 2023-05-08 11:01:13
Date/Publication: 2023-05-09 08:50:05 UTC
NeedsCompilation: no
Packaged: 2023-05-08 11:04:11 UTC; rforge

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New package ggplot2.utils with initial version 0.2.1
Package: ggplot2.utils
Title: Selected Utilities Extending 'ggplot2'
Version: 0.2.1
Date: 2023-05-07
Description: Selected utilities, in particular 'geoms' and 'stats' functions, extending the 'ggplot2' package. Note that this package does not define the functions itself, but instead imports them from a collection of other packages and then exports them. These functions are tested as well to make sure that they work reliably. Currently, the selected functions are from 'EnvStats' <doi:10.1007/978-1-4614-8456-1>, 'GGally' <doi:10.5281/zenodo.5009047> and 'ggpp' <https://CRAN.R-project.org/package=ggpp>.
License: Apache License 2.0
URL: https://insightsengineering.github.io/ggplot2.utils/
BugReports: https://github.com/insightsengineering/ggplot2.utils/issues
Depends: ggplot2 (>= 3.3.0), R (>= 3.6)
Imports: EnvStats, GGally, ggpp
Suggests: dplyr, lifecycle, testthat (>= 2.0), tibble
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-08 12:52:04 UTC; root
Author: Daniel Sabanes Bove [aut, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@roche.com>
Repository: CRAN
Date/Publication: 2023-05-09 09:00:02 UTC

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New package APackOfTheClones with initial version 0.1.2
Package: APackOfTheClones
Title: Visualization of T-Cell Clonal Expansion
Version: 0.1.2
Maintainer: Qile Yang <qile0317@gmail.com>
Description: Visualize T-cell clonal expansion via circle-packing. 'APackOfTheClones' can integrate single-cell RNA sequencing and T-cell receptor libraries from the 10X genomics Single Cell Immune Profiling and Cell Ranger pipeline, to produce a simple, publication-ready visualization of the clonal expansion. The method was originally implemented by Murray Christian and Ben Murrell in the following immunology study: Ma et al. (2021) <doi:10.1126/sciimmunol.abg6356>.
BugReports: https://github.com/Qile0317/APackOfTheClones/issues/
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: false
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr
Imports: data.table, dplyr, ggforce, ggplot2, grDevices, hash, R6, rlang, Seurat, stats, utils
URL: https://qile0317.github.io/APackOfTheClones/
NeedsCompilation: no
Packaged: 2023-05-08 13:53:39 UTC; lu_41
Author: Qile Yang [cre, aut, cph]
Repository: CRAN
Date/Publication: 2023-05-09 08:50:08 UTC

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Package RSNNS updated to version 0.4-16 with previous version 0.4-15 dated 2023-01-23

Title: Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
Description: The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
Author: Christoph Bergmeir [aut, cre, cph], Jose M. Benitez [ths], Andreas Zell [ctb] , Niels Mache [ctb] , Guenter Mamier [ctb] , Michael Vogt [ctb] , Sven Doering [ctb] , Ralf Huebner [ctb] , Kai-Uwe Herrmann [ctb] , Tobias Soyez [ctb] , Michael Schmalzl [ctb [...truncated...]
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

Diff between RSNNS versions 0.4-15 dated 2023-01-23 and 0.4-16 dated 2023-05-09

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Package mirai updated to version 0.8.4 with previous version 0.8.3 dated 2023-04-17

Title: Minimalist Async Evaluation Framework for R
Description: Lightweight parallel code execution and distributed computing. Designed for simplicity, a 'mirai' evaluates an R expression asynchronously, on local or network resources, resolving automatically upon completion. Features efficient task scheduling, scalability beyond R connection limits, and transports faster than TCP/IP for inter-process communications, courtesy of 'nanonext' and 'NNG' (Nanomsg Next Gen).
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between mirai versions 0.8.3 dated 2023-04-17 and 0.8.4 dated 2023-05-09

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Package DescribeDF updated to version 0.2.1 with previous version 0.2.0 dated 2023-04-25

Title: Description of a Data Frame
Description: Helps to describe a data frame in hand. Has been developed during PhD work of the maintainer. More information may be obtained from Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202>.
Author: Sandip Garai [aut, cre], Ranjit Kumar Paul [aut]
Maintainer: Sandip Garai <sandipnicksandy@gmail.com>

Diff between DescribeDF versions 0.2.0 dated 2023-04-25 and 0.2.1 dated 2023-05-09

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New package datelife with initial version 0.6.7
Package: datelife
Title: Scientific Data on Time of Lineage Divergence for Your Taxa
Version: 0.6.7
Maintainer: Luna L. Sanchez Reyes <sanchez.reyes.luna@gmail.com>
Description: Methods and workflows to get chronograms (i.e., phylogenetic trees with branch lengths proportional to time), using open, peer-reviewed, state-of-the-art scientific data on time of lineage divergence. This package constitutes the main underlying code of the DateLife web service at <https:www.datelife.org>. To obtain a single summary chronogram from a group of relevant chronograms, we implement the Super Distance Matrix (SDM) method described in Criscuolo et al. (2006) <doi:10.1080/10635150600969872>. To find the grove of chronograms with a sufficiently overlapping set of taxa for summarizing, we implement theorem 1.1. from Ané et al. (2009) <doi:10.1007/s00026-009-0017-x>. A given phylogenetic tree can be dated using time of lineage divergence data as secondary calibrations (with caution, see Schenk (2016) <doi:10.1371/journal.pone.0148228>). To obtain and apply secondary calibrations, the package implements the congruification method described in Eastman et al. [...truncated...]
Depends: R (>= 3.6.0)
Imports: ape, abind, bold, phangorn, phytools, ips, cluster, compare, geiger, stats, stringr, rotl, paleotree, knitcitations, phylobase, taxize, treebase, utils, httr, plyr, phylocomr, BiocManager, data.table, curl
Suggests: testthat, knitr, rmarkdown, usethis, devtools, covr, msa, Biostrings
LazyDataCompression: xz
SystemRequirements: PATHd8
URL: https://github.com/phylotastic/datelife, http://phylotastic.org/datelife/
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-08 20:13:57 UTC; luna
Author: Brian O'Meara [aut], Jonathan Eastman [aut], Tracy Heath [aut], April Wright [aut], Klaus Schliep [aut], Scott Chamberlain [aut], Peter Midford [aut], Luke Harmon [aut], Joseph Brown [aut], Matt Pennell [aut], Mike Alfaro [aut], Luna L. Sanchez Reyes [...truncated...]
Repository: CRAN
Date/Publication: 2023-05-09 07:30:02 UTC

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Package bookdown updated to version 0.34 with previous version 0.33 dated 2023-03-06

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , Christophe Dervieux [ctb] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Clif [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package ACDC (with last version 1.0.0) was removed from CRAN

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

2022-01-12 1.0.0

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Package SurfaceTortoise updated to version 2.0.1 with previous version 1.0.2 dated 2020-10-02

Title: Find Optimal Sampling Locations Based on Spatial Covariate(s)
Description: Create sampling designs using the surface reconstruction algorithm. Original method by: Olsson, D. 2002. A method to optimize soil sampling from ancillary data. Poster presenterad at: NJF seminar no. 336, Implementation of Precision Farming in Practical Agriculture, 10-12 June 2002, Skara, Sweden.
Author: Kristin Persson [aut, cre, cph], Mats Soderstrom [ctb, cph], John Mutua [ctb]
Maintainer: Kristin Persson <kristin.persson@slu.se>

Diff between SurfaceTortoise versions 1.0.2 dated 2020-10-02 and 2.0.1 dated 2023-05-09

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Package spatstat.geom updated to version 3.2-1 with previous version 3.1-0 dated 2023-03-12

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oehlschlaegel [ctb, cph], Suman Rakshit [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 3.1-0 dated 2023-03-12 and 3.2-1 dated 2023-05-09

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Package samc updated to version 3.2.1 with previous version 3.2.0 dated 2023-05-04

Title: Spatial Absorbing Markov Chains
Description: Implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.
Author: Andrew Marx [aut, cre, cph] , Robert Fletcher [ctb] , Miguel Acevedo [ctb] , Jorge Sefair [ctb] , Chao Wang [ctb] , Hughes Josie [ctb] , Barrett Griffin [ctb]
Maintainer: Andrew Marx <ajm.rpackages@gmail.com>

Diff between samc versions 3.2.0 dated 2023-05-04 and 3.2.1 dated 2023-05-09

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Package ebirdst updated to version 2.2021.3 with previous version 2.2021.2 dated 2023-04-27

Title: Access and Analyze eBird Status and Trends Data
Description: Tools to download, load, plot, and analyze eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird abundances, range boundaries, and habitat associations at a high spatial and temporal resolution.
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package spatstat.utils updated to version 3.0-3 with previous version 3.0-2 dated 2023-03-11

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' family of packages which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.utils versions 3.0-2 dated 2023-03-11 and 3.0-3 dated 2023-05-09

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Package oceanic updated to version 0.1.6 with previous version 0.1.5 dated 2023-01-05

Title: Location Identify Tool
Description: Determine the sea area where the fishing boat operates. The latitude and longitude of geographic coordinates are used to match oceanic areas and economic sea areas. You can plot the distribution map with dotplot() function. Please refer to Flanders Marine Institute (2020) <doi:10.14284/403>.
Author: shiao chih hao [aut, cre, ctb], chang shu ting [aut, ctb], wang shyh jiun [aut, ctb]
Maintainer: shiao chih hao <chihhao@ofdc.org.tw>

Diff between oceanic versions 0.1.5 dated 2023-01-05 and 0.1.6 dated 2023-05-09

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