Fri, 14 Jun 2024

Package tidytlg updated to version 0.1.5 with previous version 0.1.4 dated 2023-10-18

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] , Nathan Kosiba [aut] , Aidan Ceney [aut] , Janssen R&D [cph, fnd], David Hugh-Jones [cph] , Konrad Pagacz [aut, cre]
Maintainer: Konrad Pagacz <kpagacz@its.jnj.com>

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Package pci updated to version 1.0.1 with previous version 1.0.0 dated 2024-06-13

Title: A Collection of Process Capability Index Functions
Description: A collection of process capability index functions, such as C_p(), C_pk(), C_pm(), and others, along with metadata about each, like 'LaTeX' equations and 'R' expressions. Its primary purpose is to form a foundation for other quality control packages to build on top of, by providing basic resources and functions. The indices belong to the field of statistical quality control, and quantify the degree to which a manufacturing process is able to create items that adhere to a certain standard of quality. For details see Montgomery, D. C. (2019, ISBN:978-1-119-39930-8).
Author: Sam Semegne [aut, cre]
Maintainer: Sam Semegne <sam.ahoi@hotmail.com>

Diff between pci versions 1.0.0 dated 2024-06-13 and 1.0.1 dated 2024-06-14

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Package handwriter updated to version 3.1.1 with previous version 3.1.0 dated 2024-06-10

Title: Handwriting Analysis in R
Description: Perform statistical writership analysis of scanned handwritten documents. Webpage provided at: <https://github.com/CSAFE-ISU/handwriter>.
Author: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Nick Berry [aut], Stephanie Reinders [aut, cre], James Taylor [aut], Felix Baez-Santiago [ctb], Jon Gonzalez [...truncated...]
Maintainer: Stephanie Reinders <srein@iastate.edu>

Diff between handwriter versions 3.1.0 dated 2024-06-10 and 3.1.1 dated 2024-06-14

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Package ggplate updated to version 0.1.3 with previous version 0.1.2 dated 2024-06-14

Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

Diff between ggplate versions 0.1.2 dated 2024-06-14 and 0.1.3 dated 2024-06-14

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Package CAST updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-25

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

Diff between CAST versions 1.0.1 dated 2024-04-25 and 1.0.2 dated 2024-06-14

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New package bidask with initial version 2.0.4
Package: bidask
Title: Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
Version: 2.0.4
Description: Implements an efficient estimator of bid-ask spreads from open, high, low, and close prices as described in Ardia, Guidotti, & Kroencke (2021) <https://www.ssrn.com/abstract=3892335>. It also provides an implementation of the estimators described in Roll (1984) <doi:10.1111/j.1540-6261.1984.tb03897.x>, Corwin & Schultz (2012) <doi:10.1111/j.1540-6261.2012.01729.x>, and Abdi & Ranaldo (2017) <doi:10.1093/rfs/hhx084>.
License: GPL-3
URL: https://github.com/eguidotti/bidask
BugReports: https://github.com/eguidotti/bidask/issues
Encoding: UTF-8
Imports: xts, zoo
Suggests: dplyr, crypto2, quantmod, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-06-14 20:53:08 UTC; eguidotti
Author: Emanuele Guidotti [aut, cre] , David Ardia [ctb] , Tim Kroencke [ctb]
Maintainer: Emanuele Guidotti <emanuele.guidotti@usi.ch>
Repository: CRAN
Date/Publication: 2024-06-15 00:30:12 UTC

More information about bidask at CRAN
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Package TBox updated to version 0.1.2 with previous version 0.1.0 dated 2024-06-07

Title: Useful Functions for Programming and Generating Documents
Description: Tools to help developers and producers manipulate R objects and outputs. It includes tools for displaying results and objects, and for formatting them in the correct format.
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

Diff between TBox versions 0.1.0 dated 2024-06-07 and 0.1.2 dated 2024-06-14

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Package crossurr updated to version 1.1.1 with previous version 1.0.6 dated 2022-10-21

Title: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Description: Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022). "Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.
Author: Denis Agniel [aut, cre], Boris P. Hejblum [aut]
Maintainer: Denis Agniel <dagniel@rand.org>

Diff between crossurr versions 1.0.6 dated 2022-10-21 and 1.1.1 dated 2024-06-14

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Package neonOS updated to version 1.1.0 with previous version 1.0.0 dated 2022-09-29

Title: Basic Data Wrangling for NEON Observational Data
Description: NEON observational data are provided via the NEON Data Portal <https://www.neonscience.org> and NEON API, and can be downloaded and reformatted by the 'neonUtilities' package. NEON observational data (human-observed measurements, and analyses derived from human-collected samples, such as tree diameters and algal chemistry) are published in a format consisting of one or more tabular data files. This package provides tools for performing common operations on NEON observational data, including checking for duplicates and joining tables.
Author: Claire Lunch [aut, cre, ctb] , Eric Sokol [aut, ctb] , Natalie Robinson [aut, ctb] , NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

Diff between neonOS versions 1.0.0 dated 2022-09-29 and 1.1.0 dated 2024-06-14

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Package troopdata updated to version 1.0.0 with previous version 0.1.5 dated 2022-01-31

Title: Tools for Analyzing Cross-National Military Deployment and Basing Data
Description: These functions generate data frames on troop deployments and military basing using U.S. Department of Defense data on overseas military deployments. This package provides functions for pulling country-year troop deployment and basing data. Subsequent versions will hopefully include cross-national data on deploying countries.
Author: Michael Flynn [aut, cre]
Maintainer: Michael Flynn <meflynn@ksu.edu>

Diff between troopdata versions 0.1.5 dated 2022-01-31 and 1.0.0 dated 2024-06-14

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Package torchvision updated to version 0.6.0 with previous version 0.5.1 dated 2023-04-14

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and it's 'API' borrows heavily from 'PyTorch' vision package.
Author: Daniel Falbel [aut, cre], Christophe Regouby [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torchvision versions 0.5.1 dated 2023-04-14 and 0.6.0 dated 2024-06-14

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Package ProjectionBasedClustering updated to version 1.2.2 with previous version 1.2.1 dated 2023-10-11

Title: Projection Based Clustering
Description: A clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is based on Thrun and Ultsch, "Using Projection based Clustering to Find Distance and Density based Clusters in High-Dimensional Data" <DOI:10.1007/s00357-020-09373-2>. Selecting the correct projection method will result in a visualization in which mountains surround each cluster. The number of clusters can be determined by counting valleys on the topographic map. Most projection methods are wrappers for already available methods in R. By contrast, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' softw [...truncated...]
Author: Michael Thrun [aut, cre, cph], Quirin Stier [ctb, rev] , Brinkmann Luca [ctb], Florian Lerch [aut], Felix Pape [aut], Tim Schreier [aut], Luis Winckelmann [aut], Kristian Nybo [cph], Jarkko Venna [cph], van der Maaten Laurens [cph]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between ProjectionBasedClustering versions 1.2.1 dated 2023-10-11 and 1.2.2 dated 2024-06-14

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Package fmesher updated to version 0.1.6 with previous version 0.1.5 dated 2023-12-20

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1- and 2-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

Diff between fmesher versions 0.1.5 dated 2023-12-20 and 0.1.6 dated 2024-06-14

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Package SeaVal updated to version 1.2.0 with previous version 1.1.1 dated 2023-11-25

Title: Validation of Seasonal Weather Forecasts
Description: Provides tools for processing and evaluating seasonal weather forecasts, with an emphasis on tercile forecasts. We follow the World Meteorological Organization's "Guidance on Verification of Operational Seasonal Climate Forecasts", S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL: <https://library.wmo.int/idurl/4/56227>). The development was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 869730 (CONFER). A comprehensive online tutorial is available at <https://seasonalforecastingengine.github.io/SeaValDoc/>.
Author: Claudio Heinrich-Mertsching [aut, cre, cph] , Celine Cunen [ctb], Michael Scheuerer [ctb]
Maintainer: Claudio Heinrich-Mertsching <claudio.heinrich@hotmail.de>

Diff between SeaVal versions 1.1.1 dated 2023-11-25 and 1.2.0 dated 2024-06-14

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New package RPregression with initial version 0.1.0
Package: RPregression
Title: A Simple Regression and Plotting Tool
Version: 0.1.0
Description: Perform a regression analysis, generate a regression table, create a scatter plot, and download the results. It uses 'stargazer' for generating regression tables and 'ggplot2' for creating plots. With just two lines of code, you can perform a regression analysis, visualize the results, and save the output. It is part of my make R easy project where one doesn't need to know how to use various packages in order to get results and makes it easily accessible to beginners. This is a part of my make R easy project. Help from 'ChatGPT' was taken. References were Wickham (2016) <doi:10.1007/978-3-319-24277-4>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: stargazer, ggplot2, stats
NeedsCompilation: no
Packaged: 2024-06-14 10:55:22 UTC; raghavpuri
Author: Raghav Puri [aut, cre]
Maintainer: Raghav Puri <itsraghavpuri@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-14 15:30:03 UTC

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New package PerMat with initial version 0.1.0
Package: PerMat
Title: Performance Metrics in Predictive Modeling
Version: 0.1.0
Maintainer: Pankaj Das <pankaj.das2@icar.gov.in>
Description: Performance metric provides different performance measures like mean squared error, root mean square error, mean absolute deviation, mean absolute percentage error etc. of a fitted model. These can provide a way for forecasters to quantitatively compare the performance of competing models. For method details see (i) Pankaj Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-14 07:06:05 UTC; Pankaj
Author: Pankaj Das [aut, cre]
Repository: CRAN
Date/Publication: 2024-06-14 15:20:11 UTC

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Package nimbleSMC updated to version 0.11.1 with previous version 0.11.0 dated 2023-09-10

Title: Sequential Monte Carlo Methods for 'nimble'
Description: Includes five particle filtering algorithms for use with state space models in the 'nimble' system: 'Auxiliary', 'Bootstrap', 'Ensemble Kalman filter', 'Iterated Filtering 2', and 'Liu-West', as described in Michaud et al. (2021), <doi:10.18637/jss.v100.i03>. A full User Manual is available at <https://r-nimble.org>.
Author: Nick Michaud [aut], Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Benjamin R. Goldstein [ctb] , Dao Nguyen [ctb] , The Regents of the University of California [cph]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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Package libstable4u updated to version 1.0.4 with previous version 1.0.3 dated 2023-09-01

Title: Stable Distribution Functions...For You
Description: Tools for fast and accurate evaluation of skew stable distributions (CDF, PDF and quantile functions), random number generation, and parameter estimation. This is 'libstableR' as per Royuela del Val, Simmross-Wattenberg, and Alberola López (2017) <doi:10.18637/jss.v078.i01> under a new maintainer.
Author: Javier Royuela del Val [aut], Federico Simmross-Wattenberg [aut], Carlos Alberola Lopez [aut], Bob Rudis [ctb] , Bruce Swihart [ctb, cre]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

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New package CITMIC with initial version 0.1.0
Package: CITMIC
Title: Estimation of Cell Infiltration Based on Cell Crosstalk
Version: 0.1.0
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: A systematic biology tool was developed to identify cell infiltration via Individualized Cell-Cell interaction network. 'CITMIC' first constructed a weighted cell interaction network through integrating Cell-target interaction information, molecular function data from Gene Ontology (GO) database and gene transcriptomic data in specific sample, and then, it used a network propagation algorithm on the network to identify cell infiltration for the sample. Ultimately, cell infiltration in the patient dataset was obtained by normalizing the centrality scores of the cells.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: fastmatch, igraph, parallel, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-14 02:51:28 UTC; 89800
Author: Junwei Han [aut, cre, cph], Xilong Zhao [aut]
Repository: CRAN
Date/Publication: 2024-06-14 15:10:11 UTC

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Package biomod2 updated to version 4.2-5-2 with previous version 4.2-5 dated 2024-05-02

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.
Author: Wilfried Thuiller [aut], Damien Georges [aut], Maya Gueguen [aut, cre], Robin Engler [aut], Frank Breiner [aut], Bruno Lafourcade [aut], Remi Patin [aut], Helene Blancheteau [aut]
Maintainer: Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>

Diff between biomod2 versions 4.2-5 dated 2024-05-02 and 4.2-5-2 dated 2024-06-14

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Package rmumps updated to version 5.2.1-30 with previous version 5.2.1-29 dated 2024-03-29

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between rmumps versions 5.2.1-29 dated 2024-03-29 and 5.2.1-30 dated 2024-06-14

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Package modelsummary updated to version 2.1.1 with previous version 2.1.0 dated 2024-05-19

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package iglu updated to version 4.1.6 with previous version 4.0.0 dated 2024-02-23

Title: Interpreting Glucose Data from Continuous Glucose Monitors
Description: Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.
Author: Elizabeth Chun [aut], Steve Broll [aut], David Buchanan [aut], John Muschelli [aut] , Nathaniel Fernandes [aut] , Jung Hoon Seo [ctb], Johnathan Shih [ctb], Jacek Urbanek [ctb], John Schwenck [ctb], Marielle Hicban [ctb], Mary Martin [ctb], Pratik Pa [...truncated...]
Maintainer: Irina Gaynanova <irinagn@umich.edu>

Diff between iglu versions 4.0.0 dated 2024-02-23 and 4.1.6 dated 2024-06-14

 DESCRIPTION                                                      |   14 
 MD5                                                              |  230 +--
 NAMESPACE                                                        |    1 
 NEWS.md                                                          |   21 
 R/above_percent.R                                                |   13 
 R/active_percent.R                                               |   10 
 R/adrr.R                                                         |    4 
 R/agp.R                                                          |    2 
 R/agp_metrics.R                                                  |   41 
 R/cv_glu.R                                                       |    4 
 R/ea1c.R                                                         |    4 
 R/epicalc_profile.R                                              |    2 
 R/gmi.R                                                          |    4 
 R/grade.R                                                        |    4 
 R/gri.R                                                          |    2 
 R/gvp.r                                                          |    2 
 R/hbgi.R                                                         |    6 
 R/heatmap.R                                                      |    6 
 R/hyper_index.R                                                  |    4 
 R/hypo_index.R                                                   |    4 
 R/j_index.R                                                      |    4 
 R/lasagna_plots.R                                                |   60 
 R/lbgi.R                                                         |    4 
 R/mad_glu.r                                                      |    2 
 R/mag.R                                                          |    6 
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 R/meal_metrics.R                                                 |  130 +
 R/pgs.R                                                          |   31 
 R/plot_daily.R                                                   |    5 
 R/plot_glu.R                                                     |   68 
 R/plot_meals.R                                                   |only
 R/plot_roc.R                                                     |    4 
 R/process_data.R                                                 |   21 
 R/quantile_glu.R                                                 |   10 
 R/range_glu.R                                                    |    8 
 R/read_raw_data.r                                                |   21 
 R/roc.R                                                          |   14 
 R/sd_glu.R                                                       |    8 
 R/sd_measures.R                                                  |    2 
 R/sd_roc.R                                                       |    2 
 R/summary_glu.R                                                  |   10 
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 man/cv_glu.Rd                                                    |    4 
 man/ea1c.Rd                                                      |    4 
 man/gmi.Rd                                                       |    4 
 man/grade.Rd                                                     |    4 
 man/gvp.Rd                                                       |    2 
 man/hbgi.Rd                                                      |    6 
 man/hyper_index.Rd                                               |    4 
 man/hypo_index.Rd                                                |    4 
 man/j_index.Rd                                                   |    4 
 man/lbgi.Rd                                                      |    4 
 man/mad_glu.Rd                                                   |    2 
 man/mag.Rd                                                       |    6 
 man/mage.Rd                                                      |   34 
 man/mage_ma_single.Rd                                            |   36 
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 man/pgs.Rd                                                       |   31 
 man/plot_agp.Rd                                                  |    4 
 man/plot_daily.Rd                                                |   12 
 man/plot_glu.Rd                                                  |   31 
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 man/process_data.Rd                                              |   21 
 man/quantile_glu.Rd                                              |   10 
 man/range_glu.Rd                                                 |    8 
 man/read_raw_data.Rd                                             |   19 
 man/roc.Rd                                                       |   14 
 man/sd_glu.Rd                                                    |    8 
 man/sd_measures.Rd                                               |    2 
 man/sd_roc.Rd                                                    |    2 
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 tests/testthat/test-mage.R                                       |    2 
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Package BCDAG updated to version 1.1.1 with previous version 1.1.0 dated 2024-02-09

Title: Bayesian Structure and Causal Learning of Gaussian Directed Graphs
Description: A collection of functions for structure learning of causal networks and estimation of joint causal effects from observational Gaussian data. Main algorithm consists of a Markov chain Monte Carlo scheme for posterior inference of causal structures, parameters and causal effects between variables. References: F. Castelletti and A. Mascaro (2021) <doi:10.1007/s10260-021-00579-1>, F. Castelletti and A. Mascaro (2022) <doi:10.48550/arXiv.2201.12003>.
Author: Federico Castelletti [aut], Alessandro Mascaro [aut, cre, cph]
Maintainer: Alessandro Mascaro <alessandro.mascaro@upf.edu>

Diff between BCDAG versions 1.1.0 dated 2024-02-09 and 1.1.1 dated 2024-06-14

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Package neotoma2 (with last version 1.0.3) was removed from CRAN

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

2024-02-28 1.0.3
2023-06-29 1.0.2
2023-05-23 1.0.1
2023-04-20 1.0.0

Permanent link
Package ggplate updated to version 0.1.2 with previous version 0.1.1 dated 2023-12-02

Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

Diff between ggplate versions 0.1.1 dated 2023-12-02 and 0.1.2 dated 2024-06-14

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 4 files changed, 13 insertions(+), 9 deletions(-)

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New package parTimeROC with initial version 0.1.0
Package: parTimeROC
Title: Parametric Time-Dependent Receiver Operating Characteristic
Version: 0.1.0
Maintainer: Faiz Azhar <faiz.azhar241@gmail.com>
Description: Producing the time-dependent receiver operating characteristic (ROC) curve through parametric approaches. Tools for generating random data, fitting, predicting and check goodness of fit are prepared. The methods are developed from the theoretical framework of proportional hazard model and copula functions. Using this package, users can now simulate parametric time-dependent ROC and run experiment to understand the behavior of the curve under different scenario.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, moments, RcppParallel (>= 5.0.1), Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.3.1), cubature, DescTools, flexsurv (>= 2.2.2), graphics, Matrix, mvtnorm, sn (>= 2.1.1), stats, survival (>= 3.5.5), VineCopula (>= 2.4.5)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: yes
Packaged: 2024-06-13 17:32:06 UTC; farea
Author: Faiz Azhar [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-06-14 10:10:03 UTC

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New package ehymet with initial version 0.1.0
Package: ehymet
Title: Methodologies for Functional Data Based on the Epigraph and Hypograph Indices
Version: 0.1.0
Description: Implements methods for functional data analysis based on the epigraph and hypograph indices. These methods transform functional datasets, whether in one or multiple dimensions, into multivariate datasets. The transformation involves applying the epigraph, hypograph, and their modified versions to both the original curves and their first and second derivatives. The calculation of these indices is tailored to the dimensionality of the functional dataset, with special considerations for dependencies between dimensions in multidimensional cases. This approach extends traditional multivariate data analysis techniques to the functional data setting. A key application of this package is the EHyClus method, which enhances clustering analysis for functional data across one or multiple dimensions using the epigraph and hypograph indices.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/bpulidob/ehymet, https://bpulidob.github.io/ehymet/
BugReports: https://github.com/bpulidob/ehymet/issues
Depends: R (>= 4.1)
Imports: kernlab, stats, tf,
Suggests: ggplot2, knitr, MASS, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-13 16:34:13 UTC; belen
Author: Belen Pulido [aut, cre] , Jose Ignacio Diez [ctr]
Maintainer: Belen Pulido <bpulidob4@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-14 10:10:14 UTC

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Package vapour updated to version 0.10.0 with previous version 0.9.5 dated 2023-04-11

Title: Access to the 'Geospatial Data Abstraction Library' ('GDAL')
Description: Provides low-level access to 'GDAL' functionality. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <https://gdal.org/>. This package is focussed on providing exactly and only what GDAL does, to enable developing further tools.
Author: Michael Sumner [aut, cre] , Simon Wotherspoon [ctb] , Mark Padgham [ctb] ), Edzer Pebesma [ctb] , Roger Bivand [ctb] , Jim Hester [ctb, cph] , Timothy Keitt [ctb] , Jeroen Ooms [ctb] , Dale Maschette [ctb] , Joseph Stachelek [ctb], Even Rouault [ctb] [...truncated...]
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between vapour versions 0.9.5 dated 2023-04-11 and 0.10.0 dated 2024-06-14

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New package sched with initial version 1.0.1
Package: sched
Title: Request Scheduler
Version: 1.0.1
Maintainer: Pierrick Roger <pierrick.roger@cea.fr>
Description: Offers classes and functions to contact web servers while enforcing scheduling rules required by the sites. The URL class makes it easy to construct a URL by providing parameters as a vector. The Request class allows to describes SOAP (Simple Object Access Protocol) or standard requests: URL, method (POST or GET), header, body. The Scheduler class controls the request frequency for each server address by mean of rules (Rule class). The RequestResult class permits to get the request status to handle error cases and the content.
URL: https://gitlab.com/cnrgh/databases/r-sched
BugReports: https://gitlab.com/cnrgh/databases/r-sched/-/issues
Depends: R (>= 4.1)
License: AGPL-3
Encoding: UTF-8
Suggests: roxygen2, testthat, knitr, rmarkdown, covr, lintr
Imports: R6, fscache (>= 1.0.3), chk, lgr, methods, RCurl, tools, openssl
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2024-06-13 15:55:05 UTC; pierrick
Author: Pierrick Roger [aut, cre]
Repository: CRAN
Date/Publication: 2024-06-14 10:00:02 UTC

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New package rioplot with initial version 1.1.1
Package: rioplot
Title: Turn a Regression Model Inside Out
Version: 1.1.1
Maintainer: David Melamed <dmmelamed@gmail.com>
Description: Turns regression models inside out. Functions decompose variances and coefficients for various regression model types. Functions also visualize regression model objects using techniques developed in Schoon, Melamed, and Breiger (2024) <doi:10.1017/9781108887205>.
VignetteBuilder: knitr
Depends: R (>= 3.5.0), ggplot2, methods
Suggests: dplyr, knitr, rmarkdown, ggrepel, MASS
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-06-13 15:18:34 UTC; melamed.9
Author: David Melamed [aut, cre] , Ronald L. Breiger [aut], Eric W. Schoon [aut]
Repository: CRAN
Date/Publication: 2024-06-14 09:50:01 UTC

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New package M3 with initial version 0.4
Package: M3
Title: Reading M3 Files
Version: 0.4
Date: 2024-06-12
Author: Jenise Swall <jswall@vcu.edu>
Maintainer: Jenise Swall <jswall@vcu.edu>
Depends: R (>= 2.10), ncdf4, sf, maps, mapdata
Imports: stats
Description: Provides functions to read in and manipulate air quality model output from Models3-formatted files. This format is used by the Community Multiscale Air Quality (CMAQ) model.
License: Unlimited
NeedsCompilation: no
Packaged: 2024-06-13 15:29:00 UTC; jenise
Repository: CRAN
Date/Publication: 2024-06-14 10:00:06 UTC

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Package calibmsm updated to version 1.1.1 with previous version 1.1.0 dated 2024-05-13

Title: Calibration Plots for the Transition Probabilities from Multistate Models
Description: Assess the calibration of an existing (i.e. previously developed) multistate model through calibration plots. Calibration is assessed using one of three methods. 1) Calibration methods for binary logistic regression models applied at a fixed time point in conjunction with inverse probability of censoring weights. 2) Calibration methods for multinomial logistic regression models applied at a fixed time point in conjunction with inverse probability of censoring weights. 3) Pseudo-values estimated using the Aalen-Johansen estimator of observed risk. All methods are applied in conjunction with landmarking when required. These calibration plots evaluate the calibration (in a validation cohort of interest) of the transition probabilities estimated from an existing multistate model. While package development has focused on multistate models, calibration plots can be produced for any model which utilises information post baseline to update predictions (e.g. dynamic models); competing risks mod [...truncated...]
Author: Alexander Pate [aut, cre, cph] , Glen P Martin [fnd, rev]
Maintainer: Alexander Pate <alexander.pate@manchester.ac.uk>

Diff between calibmsm versions 1.1.0 dated 2024-05-13 and 1.1.1 dated 2024-06-14

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Package marginaleffects updated to version 0.21.0 with previous version 0.20.1 dated 2024-05-08

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>

Diff between marginaleffects versions 0.20.1 dated 2024-05-08 and 0.21.0 dated 2024-06-14

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More information about marginaleffects at CRAN
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Package settingsSync updated to version 3.0.2 with previous version 3.0.1 dated 2024-06-13

Title: 'Rstudio' Addin to Sync Settings and Keymaps
Description: Provides a 'Rstudio' addin to download, merge and upload 'Rstudio' settings and keymaps, essentially 'syncing them' at will. It uses 'Google Drive' as a cloud storage to keep the settings and keymaps files.
Author: Andre Plancha [aut, cre]
Maintainer: Andre Plancha <andre.plancha@hotmail.com>

Diff between settingsSync versions 3.0.1 dated 2024-06-13 and 3.0.2 dated 2024-06-14

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New package smile with initial version 1.0.5
Package: smile
Title: Spatial Misalignment: Interpolation, Linkage, and Estimation
Version: 1.0.5
Date: 2024-06-13
Description: Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020) <doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020) <doi:10.1093/biostatistics/kxy041>. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273).
License: GPL-3
Encoding: UTF-8
LazyData: true
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: numDeriv, Rcpp, sf, mvtnorm, stats, parallel, Matrix
Depends: R (>= 4.0)
URL: https://lcgodoy.me/smile/, https://github.com/lcgodoy/smile/
BugReports: https://github.com/lcgodoy/smile/issues/
Suggests: knitr, rmarkdown, ggplot2, graphics, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2024-06-13 22:55:44 UTC; lcgodoy
Author: Lucas da Cunha Godoy [aut, cre]
Maintainer: Lucas da Cunha Godoy <lcgodoy@duck.com>
Repository: CRAN
Date/Publication: 2024-06-14 08:00:02 UTC

More information about smile at CRAN
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New package repeated with initial version 1.1.8
Package: repeated
Version: 1.1.8
Title: Non-Normal Repeated Measurements Models
Depends: R (>= 1.4), rmutil
Description: Various functions to fit models for non-normal repeated measurements, such as Binary Random Effects Models with Two Levels of Nesting, Bivariate Beta-binomial Regression Models, Marginal Bivariate Binomial Regression Models, Cormack capture-recapture models, Continuous-time Hidden Markov Chain Models, Discrete-time Hidden Markov Chain Models, Changepoint Location Models using a Continuous-time Two-state Hidden Markov Chain, generalized nonlinear autoregression models, multivariate Gaussian copula models, generalized non-linear mixed models with one random effect, generalized non-linear mixed models using h-likelihood for one random effect, Repeated Measurements Models for Counts with Frailty or Serial Dependence, Repeated Measurements Models for Continuous Variables with Frailty or Serial Dependence, Ordinal Random Effects Models with Dropouts, marginal homogeneity models for square contingency tables, correlated negative binomial models with Kalman update. References include Lindsey's [...truncated...]
License: GPL (>= 2)
URL: https://www.commanster.eu/rcode.html
BugReports: https://github.com/swihart/repeated/issues
Encoding: UTF-8
LazyLoad: true
NeedsCompilation: yes
Packaged: 2024-06-14 01:40:03 UTC; bruce
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] , T.R. Ten Have [ctb, cph] .), Richard Cook [ctb, cph] , Iain MacDonald [ctb, cph] , Walter Zucchini [ctb, cph] , Burton Garbow [ctb, cph] , Euginia Zharichenko [ctb, cph]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-14 07:50:02 UTC

More information about repeated at CRAN
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Package diemr updated to version 1.3 with previous version 1.2.3 dated 2024-04-28

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. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

Diff between diemr versions 1.2.3 dated 2024-04-28 and 1.3 dated 2024-06-14

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Package CohortConstructor updated to version 0.2.1 with previous version 0.2.0 dated 2024-06-12

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CohortConstructor versions 0.2.0 dated 2024-06-12 and 0.2.1 dated 2024-06-14

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Package Apoderoides updated to version 2.0.0 with previous version 1.0.1 dated 2024-01-14

Title: Prioritize and Delete Erroneous Taxa in a Large Phylogenetic Tree
Description: Finds, prioritizes and deletes erroneous taxa in a phylogenetic tree. This package calculates scores for taxa in a tree. Higher score means the taxon is more erroneous. If the score is zero for a taxon, the taxon is not erroneous. This package also can remove all erroneous taxa automatically by iterating score calculation and pruning taxa with the highest score.
Author: Satoshi Aoki [aut, cph, cre]
Maintainer: Satoshi Aoki <aokis1ll1@gmail.com>

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Package ggblanket updated to version 9.1.1 with previous version 9.1.0 dated 2024-05-25

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

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2024-03-14 1.4
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Package tidyfst updated to version 1.7.9 with previous version 1.7.8 dated 2024-04-15

Title: Tidy Verbs for Fast Data Manipulation
Description: A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.
Author: Tian-Yuan Huang [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

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