Tue, 16 Apr 2024

Package spmodel updated to version 0.6.0 with previous version 0.5.1 dated 2024-01-09

Title: Spatial Statistical Modeling and Prediction
Description: Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Author: Michael Dumelle [aut, cre] , Matt Higham [aut], Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

Diff between spmodel versions 0.5.1 dated 2024-01-09 and 0.6.0 dated 2024-04-16

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Package locuszoomr updated to version 0.3.0 with previous version 0.2.1 dated 2024-02-17

Title: Gene Locus Plot with Gene Annotations
Description: Publication-ready regional gene locus plots similar to those produced by the web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots.
Author: Myles Lewis [aut, cre]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between locuszoomr versions 0.2.1 dated 2024-02-17 and 0.3.0 dated 2024-04-16

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Package tram updated to version 1.0-3 with previous version 1.0-2 dated 2024-01-30

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) can be fitted as well.
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [aut] , Sandra Siegfried [aut] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between tram versions 1.0-2 dated 2024-01-30 and 1.0-3 dated 2024-04-16

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Package symptomcheckR updated to version 0.1.3 with previous version 0.1.1 dated 2024-01-12

Title: Analyzing and Visualizing Symptom Checker Performance
Description: Easily analyze and visualize the performance of symptom checkers. This package can be used to gain comprehensive insights into the performance of single symptom checkers or the performance of multiple symptom checkers. It can be used to easily compare these symptom checkers across several metrics to gain an understanding of their strengths and weaknesses. The metrics are developed in Kopka et al. (2023) <doi:10.1177/20552076231194929>.
Author: Marvin Kopka [cre, aut] , Malte L. Schmieding [aut] , Markus A. Feufel [aut]
Maintainer: Marvin Kopka <marvin.kopka@tu-berlin.de>

Diff between symptomcheckR versions 0.1.1 dated 2024-01-12 and 0.1.3 dated 2024-04-16

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Package statGraph updated to version 1.0.0 with previous version 0.5.1 dated 2024-01-25

Title: Statistical Methods for Graphs
Description: Contains statistical methods to analyze graphs, such as graph parameter estimation, model selection based on the Graph Information Criterion, statistical tests to discriminate two or more populations of graphs, correlation between graphs, and clustering of graphs. References: Takahashi et al. (2012) <doi:10.1371/journal.pone.0049949>, Fujita et al. (2017) <doi:10.3389/fnins.2017.00066>, Fujita et al. (2017) <doi:10.1016/j.csda.2016.11.016>, Fujita et al. (2019) <doi:10.1093/comnet/cnz028>.
Author: Grover E. Castro Guzman [aut], Diogo R. da Costa [aut], Taiane C. Ramos [aut], Suzana S. Santos [aut], Eduardo S. Lira [aut], Andre Fujita [aut, cre]
Maintainer: Andre Fujita <andrefujita@usp.br>

Diff between statGraph versions 0.5.1 dated 2024-01-25 and 1.0.0 dated 2024-04-16

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New package SpaDES.core with initial version 2.0.4
Package: SpaDES.core
Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies. The suggested package 'NLMR' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
URL: https://spades-core.predictiveecology.org/, https://github.com/PredictiveEcology/SpaDES.core
Date: 2024-04-10
Version: 2.0.4
Depends: R (>= 4.2), quickPlot (>= 1.0.2), reproducible (>= 2.0.9)
Imports: crayon, data.table (>= 1.11.0), fs, igraph (>= 1.0.1), lobstr, methods, qs (>= 0.21.1), Require (>= 0.3.1), stats, terra (>= 1.7-46), utils, whisker
Suggests: archive, CircStats, codetools, covr, DiagrammeR (>= 0.8.2), future, future.callr, ggplot2, ggplotify, httr, knitr, lattice, logging, magrittr, NLMR (>= 1.1.1), pkgload, png, RColorBrewer (>= 1.1-2), raster (>= 2.5-8), rmarkdown, roxygen2, RSQLite, rstudioapi, sp, SpaDES.tools (>= 2.0.0), tcltk, testthat (>= 1.0.2), withr
Additional_repositories: https://predictiveecology.r-universe.dev/
Encoding: UTF-8
Language: en-CA
License: GPL-3
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/PredictiveEcology/SpaDES.core/issues
ByteCompile: yes
NeedsCompilation: no
Packaged: 2024-04-16 00:08:31 UTC; achubaty
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2024-04-16 20:30:02 UTC

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Package REDCapTidieR updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-28

Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Author: Richard Hanna [aut, cre] , Stephan Kadauke [aut] , Ezra Porter [aut]
Maintainer: Richard Hanna <richardshanna91@gmail.com>

Diff between REDCapTidieR versions 1.1.0 dated 2024-03-28 and 1.1.1 dated 2024-04-16

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New package Paris2024Colours with initial version 0.1.2
Package: Paris2024Colours
Title: Color Palettes Inspired by Paris 2024 Olympic and Paralympic Games
Version: 0.1.2
Description: Palettes inspired by Paris 2024 Olympic and Paralympic Games for data visualizations. Length of color palettes is configurable.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/maximekuntz/Paris2024Colours, https://maximekuntz.github.io/Paris2024Colours/
BugReports: https://github.com/maximekuntz/Paris2024Colours/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-16 10:18:45 UTC; mkuntz
Author: Maxime Kuntz [aut, cre]
Maintainer: Maxime Kuntz <maxime.kuntz75@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-16 20:50:07 UTC

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New package CohortCharacteristics with initial version 0.1.0
Package: CohortCharacteristics
Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Version: 0.1.0
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
License: Apache License (>= 2)
Encoding: UTF-8
Suggests: covr, duckdb (>= 0.9.0), testthat (>= 3.1.5), knitr, CodelistGenerator, rmarkdown, glue, odbc, ggplot2, spelling, RPostgres, dbplyr, PaRe, here, magick, plotly, ggraph, DT, cowplot, DiagrammeRsvg, DBI, gt, flextable, tictoc, withr, scales
Imports: CDMConnector (>= 1.3.1), dplyr, tidyr, checkmate, lubridate, rlang, cli, stringr, omopgenerics (>= 0.1.2), visOmopResults (>= 0.2.0), PatientProfiles (>= 0.8.0), ggpubr, magrittr
URL: https://darwin-eu-dev.github.io/CohortCharacteristics/
BugReports: https://github.com/darwin-eu-dev/CohortCharacteristics/issues
Language: en-US
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-16 09:31:49 UTC; martics
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [ctb] , Marta Alcalde [aut]
Repository: CRAN
Date/Publication: 2024-04-16 20:50:11 UTC

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New package bolsec with initial version 0.1.1
Package: bolsec
Title: Bolivian Securities
Version: 0.1.1
Description: Provides data import and offers 3 daily snapshot functions from securities of varying prices traded on the Bolivian Securities Exchange, website <https://www.bbv.com.bo/>. The snapshots include a detailed list, scatter plot correlation, and descriptive statistics table for the securities.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, rvest, formattable, stats, graphics
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-15 22:48:06 UTC; alvarotapia
Author: Alvaro Tapia [aut, cre]
Maintainer: Alvaro Tapia <alvaroignaciotapia@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-16 20:50:03 UTC

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Package unikn updated to version 1.0.0 with previous version 0.9.0 dated 2023-08-10

Title: Graphical Elements of the University of Konstanz's Corporate Design
Description: Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides color functions (by defining dedicated colors and color palettes, and commands for finding, changing, viewing, and using them) and styled text elements (e.g., for marking, underlining, or plotting colored titles). The pre-defined range of colors and text decoration functions is based on the corporate design of the University of Konstanz <https://www.uni-konstanz.de/>, but can be adapted and extended for other purposes or institutions.
Author: Hansjoerg Neth [aut, cre] , Nico Gradwohl [aut]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

Diff between unikn versions 0.9.0 dated 2023-08-10 and 1.0.0 dated 2024-04-16

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Package sassy updated to version 1.2.4 with previous version 1.2.3 dated 2024-02-07

Title: Makes 'R' Easier for Everyone
Description: A meta-package that aims to make 'R' easier for everyone, especially programmers who have a background in 'SASĀ®' software. This set of packages brings many useful concepts to 'R', including data libraries, data dictionaries, formats and format catalogs, a data step, and a traceable log. The 'flagship' package is a reporting package that can output in text, rich text, 'PDF', 'HTML', and 'DOCX' file formats.
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

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Package optparse updated to version 1.7.5 with previous version 1.7.4 dated 2024-01-16

Title: Command Line Option Parser
Description: A command line parser inspired by Python's 'optparse' library to be used with Rscript to write "#!" shebang scripts that accept short and long flag/options.
Author: Trevor L. Davis [aut, cre] , Allen Day [ctb] , Python Software Foundation [ctb] , Steve Lianoglou [ctb], Jim Nikelski [ctb], Kirill Mueller [ctb], Peter Humburg [ctb], Rich FitzJohn [ctb], Gyu Jin Choi [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package diffusion updated to version 0.4.0 with previous version 0.2.7 dated 2018-01-05

Title: Forecast the Diffusion of New Products
Description: Various diffusion models to forecast new product growth. Currently the package contains Bass, Gompertz, Gamma/Shifted Gompertz and Weibull curves. See Meade and Islam (2006) <doi:10.1016/j.ijforecast.2006.01.005>.
Author: Oliver Schaer [aut, cre] , Nikolaos Kourentzes [aut] , Ivan Svetunkov [aut]
Maintainer: Oliver Schaer <info@oliverschaer.ch>

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Package pysparklyr updated to version 0.1.4 with previous version 0.1.3 dated 2024-01-12

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

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Package biblio updated to version 0.0.9 with previous version 0.0.8 dated 2023-03-11

Title: Interacting with BibTeX Databases
Description: Reading and writing BibTeX files using data frames in R sessions.
Author: Miguel Alvarez [aut, cre]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

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Package TOSTER updated to version 0.8.2 with previous version 0.8.1 dated 2024-03-21

Title: Two One-Sided Tests (TOST) Equivalence Testing
Description: Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.
Author: Daniel Lakens [aut], Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

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Package palaeoverse updated to version 1.3.0 with previous version 1.2.1 dated 2023-08-17

Title: Prepare and Explore Data for Palaeobiological Analyses
Description: Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales <https://stratigraphy.org/chart>) and auxiliary functions are also provided. Details can be found in: Jones et al., (2023) <doi: 10.1111/2041-210X.14099>.
Author: Lewis A. Jones [aut, cre] , William Gearty [aut] , Bethany J. Allen [aut] , Kilian Eichenseer [aut] , Christopher D. Dean [aut] , Sofia Galvan [ctb] , Miranta Kouvari [ctb] , Pedro L. Godoy [ctb] , Cecily Nicholl [ctb] , Lucas Buffan [ctb] , Erin M. [...truncated...]
Maintainer: Lewis A. Jones <LewisAlan.Jones@uvigo.es>

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Package MF.beta4 updated to version 1.0.3 with previous version 1.0.2 dated 2024-03-25

Title: Measuring Ecosystem Multi-Functionality and Its Decomposition
Description: Provide simple functions to (i) compute a class of multi-functionality measures for a single ecosystem for given function weights, (ii) decompose gamma multi-functionality for multiple ecosystems into a within-ecosystem component (alpha multi-functionality) and an among-ecosystem component (beta multi-functionality). In each case, the correlation between functions can be corrected for. Based on biodiversity and ecosystem function data, this software also facilitates graphics for assessing biodiversity-ecosystem functioning relationships across scales.
Author: Anne Chao [aut, cre], Chun-Yu Liu [ctb], KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

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Package TreatmentPatterns updated to version 2.6.6 with previous version 2.6.5 dated 2024-02-19

Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>

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Permanent link

Package stopp updated to version 0.2.2 with previous version 0.2.1 dated 2024-04-05

Title: Spatio-Temporal Point Pattern Methods, Model Fitting, Diagnostics, Simulation, Local Tests
Description: Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; Dā€™Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; Dā€™Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; Dā€™Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.
Author: Nicoletta D'Angelo [aut, cre] , Giada Adelfio [aut]
Maintainer: Nicoletta D'Angelo <nicoletta.dangelo@unipa.it>

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New package mlr3resampling with initial version 2024.4.14
Package: mlr3resampling
Title: Resampling Algorithms for 'mlr3' Framework
Version: 2024.4.14
Description: A supervised learning algorithm inputs a train set, and outputs a prediction function, which can be used on a test set. If each data point belongs to a group (such as geographic region, year, etc), then how do we know if it is possible to train on one group, and predict accurately on another group? Cross-validation can be used to determine the extent to which this is possible, by first assigning fold IDs from 1 to K to all data (possibly using stratification, usually by group and label). Then we loop over test sets (group/fold combinations), train sets (same group, other groups, all groups), and compute test/prediction accuracy for each combination. Comparing test/prediction accuracy between same and other, we can determine the extent to which it is possible (perfect if same/other have similar test accuracy for each group; other is usually somewhat less accurate than same; other can be just as bad as featureless baseline when the groups have different patterns). For more information, [...truncated...]
License: GPL-3
URL: https://github.com/tdhock/mlr3resampling
BugReports: https://github.com/tdhock/mlr3resampling/issues
Imports: data.table, R6, checkmate, paradox, mlr3, mlr3misc
Suggests: animint2, mlr3tuning, lgr, future, testthat, knitr, rmarkdown, nc, rpart
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-15 21:55:40 UTC; th798
Author: Toby Hocking [aut, cre] , Michel Lang [ctb] , Bernd Bischl [ctb] , Jakob Richter [ctb] , Patrick Schratz [ctb] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [ctb], Florian Pfisterer [ctb] , Raphael Sonabend [ctb] , [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>
Repository: CRAN
Date/Publication: 2024-04-16 15:50:02 UTC

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Package bpr updated to version 1.0.8 with previous version 1.0.7 dated 2024-01-18

Title: Fitting Bayesian Poisson Regression
Description: Posterior sampling and inference for Bayesian Poisson regression models. The model specification makes use of Gaussian (or conditionally Gaussian) prior distributions on the regression coefficients. Details on the algorithm are found in D'Angelo and Canale (2023) <doi:10.1080/10618600.2022.2123337>.
Author: Laura D'Angelo
Maintainer: Laura D'Angelo <laura.dangelo@live.com>

Diff between bpr versions 1.0.7 dated 2024-01-18 and 1.0.8 dated 2024-04-16

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New package T2DFitTailor with initial version 3.0.0
Package: T2DFitTailor
Title: Tailor the Exercise Plans and Visualize the Outcome for T2D Patients
Version: 3.0.0
Description: A system for personalized exercise plan recommendations for T2D (Type 2 Diabetes) patients based on the primary outcome of HbA1c (Glycated Hemoglobin). You provide the individual's information, and 'T2DFitTailor' details the exercise plan and predicts the intervention's effectiveness.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr,fmsb,graphics,grDevices,httr,jsonlite
NeedsCompilation: no
Packaged: 2024-04-15 08:26:28 UTC; supercheng
Author: Cheng Liu [aut, cre], Xinyu Hou [aut], Bingxiang Xu [aut], Tiemin Liu [aut], Ru Wang [aut]
Maintainer: Cheng Liu <971264017@qq.com>
Repository: CRAN
Date/Publication: 2024-04-16 14:30:02 UTC

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New package ssMutPA with initial version 0.1.0
Package: ssMutPA
Title: Single-Sample Mutation-Based Pathway Analysis
Version: 0.1.0
Description: A systematic bioinformatics tool to perform single-sample mutation-based pathway analysis by integrating somatic mutation data with the Protein-Protein Interaction (PPI) network. In this method, we use local and global weighted strategies to evaluate the effects of network genes from mutations according to the network topology and then calculate the mutation-based pathway enrichment score (ssMutPES) to reflect the accumulated effect of mutations of each pathway. Subsequently, the ssMutPES profiles are used for unsupervised spectral clustering to identify cancer subtypes.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, ggridges, grDevices, igraph, kernlab, maftools, Matrix, NbClust, parallel, pheatmap, RColorBrewer, stats, survival, utils
Suggests: knitr, qpdf, rmarkdown
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-16 01:41:36 UTC; DELL
Author: Junwei Han [aut, cre, cph], Yalan He [aut], Qian Wang [aut]
Maintainer: Junwei Han <hanjunwei1981@163.com>
Repository: CRAN
Date/Publication: 2024-04-16 14:50:02 UTC

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New package SPUTNIK with initial version 1.4.2
Package: SPUTNIK
Title: Spatially Automatic Denoising for Imaging Mass Spectrometry Toolkit
Version: 1.4.2
Author: Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese@outlook.com>
Description: Set of tools for peak filtering of mass spectrometry imaging data based on spatial distribution of signal. Given a region-of-interest, representing the spatial region where the informative signal is expected to be localized, a series of filters determine which peak signals are characterized by an implausible spatial distribution. The filters reduce the dataset dimension and increase its information vs noise ratio, improving the quality of the unsupervised analysis results, reducing data dimension and simplifying the chemical interpretation. The methods are described in Inglese P. et al (2019) <doi:10.1093/bioinformatics/bty622>.
Depends: R (>= 3.4.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: e1071, edgeR, spatstat.explore, spatstat.geom, viridis, ggplot2, reshape, imager, methods, infotheo, parallel, irlba, doSNOW, foreach
Suggests: testthat
URL: https://github.com/paoloinglese/SPUTNIK
BugReports: https://github.com/paoloinglese/SPUTNIK/issues
NeedsCompilation: no
Packaged: 2024-04-14 17:15:33 UTC; Paolo
Repository: CRAN
Date/Publication: 2024-04-16 14:30:05 UTC

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New package spatstat.univar with initial version 2.0-2
Package: spatstat.univar
Version: 2.0-2
Date: 2024-04-16
Title: One-Dimensional Probability Distribution Support for the 'spatstat' Family
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Depends: R (>= 3.5.0), stats
Imports: spatstat.utils (>= 3.0-2)
Description: Estimation of one-dimensional probability distributions including kernel density estimation, weighted empirical cumulative distribution functions, Kaplan-Meier and reduced-sample estimators for right-censored data, heat kernels, kernel properties, quantiles and integration.
License: GPL (>= 2)
URL: http://spatstat.org/
NeedsCompilation: yes
ByteCompile: true
BugReports: https://github.com/spatstat/spatstat.univar/issues
Packaged: 2024-04-16 03:01:54 UTC; adrian
Author: Adrian Baddeley [aut, cre, cph] , Tilman M. Davies [aut, ctb, cph] , Martin L. Hazelton [aut, ctb, cph] , Ege Rubak [aut, cph] , Rolf Turner [aut, cph] , Greg McSwiggan [ctb, cph]
Repository: CRAN
Date/Publication: 2024-04-16 14:50:05 UTC

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Package riskscores updated to version 1.1.0 with previous version 1.0.2 dated 2023-12-14

Title: Optimized Integer Risk Score Models
Description: Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
Author: Hannah Eglinton [aut, cre], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph] , Robert Gentleman [ctb, cph] , Ross Ihaka [ctb, cph] , Simon Davies [ctb] ), Thomas Lumley [ctb] )
Maintainer: Hannah Eglinton <eglintonh@gmail.com>

Diff between riskscores versions 1.0.2 dated 2023-12-14 and 1.1.0 dated 2024-04-16

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New package PWEV with initial version 0.1.0
Package: PWEV
Title: PSO Based Weighted Ensemble Algorithm for Volatility Modelling
Version: 0.1.0
Author: Mr. Ankit Kumar Singh [aut], Dr. Ranjit Kumar Paul [aut, cre], Dr. Amrit Kumar Paul [aut], Dr. Md Yeasin [aut], Ms. Anita Sarkar [aut]
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Price volatility refers to the degree of variation in series over a certain period of time. This volatility is especially noticeable in agricultural commodities, adding uncertainty for farmers, traders, and others in the agricultural supply chain. Commonly and popularly used four volatility models viz, GARCH, Glosten Jagannatan Runkle-GARCH (GJR-GARCH) model, exponentially weighted moving average (EWMA) model and Multiplicative Error Model (MEM) are selected and implemented. PWAVE, weighted ensemble model based on particle swarm optimization (PSO) is proposed to combine the forecast obtained from all the candidate models. This package has been developed using algorithm of Paul et al. <doi:10.1007/s40009-023-01218-x> and Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
License: GPL-3
Encoding: UTF-8
Imports: stats, xts, rumidas, rugarch, WeightedEnsemble, Metrics, zoo
NeedsCompilation: no
Packaged: 2024-04-16 07:44:01 UTC; YEASIN
Repository: CRAN
Date/Publication: 2024-04-16 15:00:02 UTC

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New package newIMVC with initial version 0.1.0
Package: newIMVC
Title: A Robust Integrated Mean Variance Correlation
Version: 0.1.0
Description: Measure the dependence structure between two random variables with a new correlation coefficient and extend it to hypothesis test, feature screening and false discovery rate control.
License: GPL-3
Encoding: UTF-8
Imports: splines, quantreg, expm, CompQuadForm, GGMridge, limma, stats
Suggests: knitr, mvtnorm, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-14 04:03:04 UTC; Surface
Author: Wei Xiong [aut], Han Pan [aut, cre], Hengjian Cui [aut]
Maintainer: Han Pan <scott_pan@163.com>
Repository: CRAN
Date/Publication: 2024-04-16 14:50:13 UTC

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Package mlt updated to version 1.5-1 with previous version 1.5-0 dated 2023-12-14

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.5-0 dated 2023-12-14 and 1.5-1 dated 2024-04-16

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Package LMMsolver updated to version 1.0.7 with previous version 1.0.6 dated 2023-11-27

Title: Linear Mixed Model Solver
Description: An efficient and flexible system to solve sparse mixed model equations. Important applications are the use of splines to model spatial or temporal trends as described in Boer (2023). (<doi:10.1177/1471082X231178591>).
Author: Martin Boer [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between LMMsolver versions 1.0.6 dated 2023-11-27 and 1.0.7 dated 2024-04-16

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Package tuneR updated to version 1.4.7 with previous version 1.4.6 dated 2023-11-27

Title: Analysis of Music and Speech
Description: Analyze music and speech, extract features like MFCCs, handle wave files and their representation in various ways, read mp3, read midi, perform steps of a transcription, ... Also contains functions ported from the 'rastamat' 'Matlab' package.
Author: Uwe Ligges [aut, cre, cph] , Sebastian Krey [aut, cph], Olaf Mersmann [aut, cph], Sarah Schnackenberg [aut, cph], Guillaume Guenard [aut, cph] , Daniel P. W. Ellis [aut, cph] , Underbit Technologies [aut, cph] , Andrea Preusser [ctb], Anita Thieler [ [...truncated...]
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

Diff between tuneR versions 1.4.6 dated 2023-11-27 and 1.4.7 dated 2024-04-16

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Package geostan updated to version 0.6.0 with previous version 0.5.4 dated 2024-03-03

Title: Bayesian Spatial Analysis
Description: For Bayesian inference with spatial data, provides exploratory spatial analysis tools, multiple spatial model specifications, spatial model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health surveillance data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.
Author: Connor Donegan [aut, cre] , Mitzi Morris [ctb], Amy Tims [ctb]
Maintainer: Connor Donegan <connor.donegan@gmail.com>

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Package flexOR updated to version 1.0.0 with previous version 0.9.6 dated 2024-03-26

Title: Flexible Odds Ratio Curves
Description: Provides flexible odds ratio curves that enable modeling non-linear relationships between continuous predictors and binary outcomes. This package facilitates a deeper understanding of the impact of each continuous predictor on the outcome by presenting results in terms of odds ratio (OR) curves based on splines. These curves allow for comparison against a specified reference value, aiding in the interpretation of the predictor's effect.
Author: Marta Azevedo [aut, cre] , Luis Meira-Machado [aut] , Artur Araujo [aut]
Maintainer: Marta Azevedo <marta.vasconcelos4@gmail.com>

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Package clubpro updated to version 0.6.1 with previous version 0.6.0 dated 2024-03-12

Title: Classification Using Binary Procrustes Rotation
Description: Implements a classification method described by Grice (2011, ISBN:978-0-12-385194-9) using binary procrustes rotation; a simplified version of procrustes rotation.
Author: Timothy Beechey [aut, cre]
Maintainer: Timothy Beechey <tim.beechey@proton.me>

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Package arulesCBA updated to version 1.2.6 with previous version 1.2.5 dated 2022-08-19

Title: Classification Based on Association Rules
Description: Provides the infrastructure for association rule-based classification including the algorithms CBA, CMAR, CPAR, C4.5, FOIL, PART, PRM, RCAR, and RIPPER to build associative classifiers. Hahsler et al (2019) <doi:10.32614/RJ-2019-048>.
Author: Michael Hahsler [aut, cre, cph] , Ian Johnson [aut, cph], Tyler Giallanza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package rivnet updated to version 0.4.1 with previous version 0.4.0 dated 2024-01-09

Title: Extract and Analyze Rivers from Elevation Data
Description: Seamless extraction of river networks from digital elevation models data. The package allows analysis of digital elevation models that can be either externally provided or downloaded from open source repositories (thus interfacing with the 'elevatr' package). Extraction is performed via the 'D8' flow direction algorithm of TauDEM (Terrain Analysis Using Digital Elevation Models), thus interfacing with the 'traudem' package. Resulting river networks are compatible with functions from the 'OCNet' package. See Carraro (2023) <doi:10.5194/hess-27-3733-2023> for a presentation of the package.
Author: Luca Carraro [cre, aut], University of Zurich [cph, fnd]
Maintainer: Luca Carraro <luca.carraro@hotmail.it>

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Package metalite.ae updated to version 0.1.2 with previous version 0.1.1 dated 2023-02-24

Title: Adverse Events Analysis Using 'metalite'
Description: Analyzes adverse events in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the adverse events analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Author: Yilong Zhang [aut], Yujie Zhao [aut, cre], Benjamin Wang [aut], Nan Xiao [aut], Sarad Nepal [aut], Madhusudhan Ginnaram [aut], Venkatesh Burla [ctb], Ruchitbhai Patel [aut], Brian Lang [aut], Xuan Deng [aut], Hiroaki Fukuda [aut], Bing Liu [aut], Mer [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package libr updated to version 1.3.2 with previous version 1.3.1 dated 2024-03-07

Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between libr versions 1.3.1 dated 2024-03-07 and 1.3.2 dated 2024-04-16

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Package JSDNE updated to version 4.3.2 with previous version 4.2.2 dated 2024-02-29

Title: Estimating the Age using Auricular Surface by DNE
Description: The age is estimated by calculating the Dirichlet Normal Energy (DNE) on the whole auricular surface and the apex of the auricular surface. It involves three estimation methods: principal component discriminant analysis (PCQDA), principal component regression analysis (PCR), and principal component logistic regression analysis (PCLR) methods. The package is created with the data from the Louis Lopes Collection in Lisbon, the 21st Century Identified Human Remains Collection in Coimbra, and the CAL Milano Cemetery Skeletal Collection in Milan.
Author: Jisun Jang [aut, cre]
Maintainer: Jisun Jang <jisun.jang.19@ucl.ac.uk>

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Package codep updated to version 1.2-3 with previous version 0.9-1 dated 2018-05-16

Title: Multiscale Codependence Analysis
Description: Computation of Multiscale Codependence Analysis and spatial eigenvector maps.
Author: Guillaume Guenard and Pierre Legendre, Bertrand Pages
Maintainer: Guillaume Guenard <guillaume.guenard@gmail.com>

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Package basemaps updated to version 0.0.7 with previous version 0.0.6 dated 2024-03-03

Title: Accessing Spatial Basemaps in R
Description: A lightweight package to access spatial basemaps from open sources such as 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <dev@schwalb-willmann.de>

Diff between basemaps versions 0.0.6 dated 2024-03-03 and 0.0.7 dated 2024-04-16

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Package OCNet updated to version 1.2.2 with previous version 1.2.1 dated 2023-11-23

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>

Diff between OCNet versions 1.2.1 dated 2023-11-23 and 1.2.2 dated 2024-04-16

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New package ready4 with initial version 0.1.9
Package: ready4
Title: Implement Modular and Open-Source Health Economic Models
Version: 0.1.9
Description: Programming syntax, a template model module and tools to help maintain a modular and open-source health economic model's project documentation website. These elements are the foundation for a prototype software framework to support replicable and transferable health economic models. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.48550/arXiv.2310.14138>.
License: GPL-3
URL: https://ready4-dev.github.io/ready4/, https://github.com/ready4-dev/ready4, https://www.ready4-dev.com/
Encoding: UTF-8
Suggests: devtools, Hmisc, knitr, pkgload, readr, readxl, rmarkdown, testthat, usethis, zen4R
VignetteBuilder: knitr
Imports: dataverse, dplyr, gh, kableExtra, lifecycle, magrittr, methods, piggyback, purrr, rlang, rvest, stats, stringi, stringr, tibble, tidyRSS, tidyselect, tools, utils
NeedsCompilation: no
Packaged: 2024-04-15 11:07:09 UTC; mham0053
Author: Matthew Hamilton [aut, cre, cph] , Orygen [cph, fnd], Australian Government Research Training Program [fnd], VicHealth [fnd], Victoria University [fnd]
Maintainer: Matthew Hamilton <matthew.hamilton1@monash.edu>
Repository: CRAN
Date/Publication: 2024-04-16 09:10:02 UTC

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Package APackOfTheClones updated to version 1.2.0 with previous version 1.1.0 dated 2024-04-05

Title: Visualization of Clonal Expansion for Single Cell Immune Profiles
Description: Visualize clonal expansion via circle-packing. 'APackOfTheClones' extends 'scRepertoire' to produce a publication-ready visualization of clonal expansion at a single cell resolution, by representing expanded clones as differently sized circles. 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>.
Author: Qile Yang [cre, aut, cph]
Maintainer: Qile Yang <qile.yang@berkeley.edu>

Diff between APackOfTheClones versions 1.1.0 dated 2024-04-05 and 1.2.0 dated 2024-04-16

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 APackOfTheClones-1.2.0/APackOfTheClones/MD5                                                |  128 +-
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 APackOfTheClones-1.2.0/APackOfTheClones/R/APOTCPlot.R                                      |   37 
 APackOfTheClones-1.2.0/APackOfTheClones/R/AdjustAPOTC.R                                    |   87 -
 APackOfTheClones-1.2.0/APackOfTheClones/R/ApotcClonalNetwork.R                             |  104 +-
 APackOfTheClones-1.2.0/APackOfTheClones/R/ApotcData.R                                      |  280 ++++--
 APackOfTheClones-1.2.0/APackOfTheClones/R/ApotcIndexing.R                                  |  448 +++++-----
 APackOfTheClones-1.2.0/APackOfTheClones/R/Main_algo.R                                      |   12 
 APackOfTheClones-1.2.0/APackOfTheClones/R/RcppExports.R                                    |    8 
 APackOfTheClones-1.2.0/APackOfTheClones/R/Repulsion.R                                      |    4 
 APackOfTheClones-1.2.0/APackOfTheClones/R/RunAPOTC.R                                       |   56 -
 APackOfTheClones-1.2.0/APackOfTheClones/R/cluster_labels.R                                 |    2 
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 APackOfTheClones-1.2.0/APackOfTheClones/R/colors.R                                         |    2 
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 APackOfTheClones-1.2.0/APackOfTheClones/R/get_clone_sizes.R                                |  107 +-
 APackOfTheClones-1.2.0/APackOfTheClones/R/insert_legend.R                                  |   16 
 APackOfTheClones-1.2.0/APackOfTheClones/R/plot_API.R                                       |  280 +++---
 APackOfTheClones-1.2.0/APackOfTheClones/R/showCloneHighlight.R                             |   15 
 APackOfTheClones-1.2.0/APackOfTheClones/R/typecheck.R                                      |   61 +
 APackOfTheClones-1.2.0/APackOfTheClones/R/utils.R                                          |  117 +-
 APackOfTheClones-1.2.0/APackOfTheClones/R/vizAPOTC.R                                       |   16 
 APackOfTheClones-1.2.0/APackOfTheClones/inst/WORDLIST                                      |   12 
 APackOfTheClones-1.2.0/APackOfTheClones/inst/doc/APackOfTheClones-install.Rmd              |   13 
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 APackOfTheClones-1.2.0/APackOfTheClones/inst/doc/APackOfTheClones-runs.R                   |    2 
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 APackOfTheClones-1.2.0/APackOfTheClones/inst/doc/APackOfTheClones-shared.Rmd               |    8 
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 APackOfTheClones-1.2.0/APackOfTheClones/inst/doc/APackOfTheClones.R                        |    6 
 APackOfTheClones-1.2.0/APackOfTheClones/inst/doc/APackOfTheClones.Rmd                      |    8 
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 APackOfTheClones-1.2.0/APackOfTheClones/man/APOTCPlot.Rd                                   |   21 
 APackOfTheClones-1.2.0/APackOfTheClones/man/AdjustAPOTC.Rd                                 |   24 
 APackOfTheClones-1.2.0/APackOfTheClones/man/RunAPOTC.Rd                                    |   30 
 APackOfTheClones-1.2.0/APackOfTheClones/man/combined_pbmc.Rd                               |    2 
 APackOfTheClones-1.2.0/APackOfTheClones/man/countCloneSizes.Rd                             |   27 
 APackOfTheClones-1.2.0/APackOfTheClones/man/getSharedClones.Rd                             |   43 
 APackOfTheClones-1.2.0/APackOfTheClones/man/overlayLegend.Rd                               |    4 
 APackOfTheClones-1.2.0/APackOfTheClones/man/renameApotcRun.Rd                              |only
 APackOfTheClones-1.2.0/APackOfTheClones/man/showCloneHighlight.Rd                          |    5 
 APackOfTheClones-1.2.0/APackOfTheClones/man/vizAPOTC.Rd                                    |   47 -
 APackOfTheClones-1.2.0/APackOfTheClones/src/APOTCPlotHelpers.cpp                           |    4 
 APackOfTheClones-1.2.0/APackOfTheClones/src/CirclePacker.h                                 |    2 
 APackOfTheClones-1.2.0/APackOfTheClones/src/CloneLinkHelpers.cpp                           |   29 
 APackOfTheClones-1.2.0/APackOfTheClones/src/ClusterList.h                                  |   10 
 APackOfTheClones-1.2.0/APackOfTheClones/src/RcppExports.cpp                                |   22 
 APackOfTheClones-1.2.0/APackOfTheClones/src/exportedUtils.cpp                              |only
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/helper-testFunctions.R              |   10 
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/test-ApotcClonalNetwork.R           |   68 +
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/test-ApotcData.R                    |   62 +
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/test-clusters.R                     |    7 
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/test-colors.R                       |    9 
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/test-get_clone_sizes.R              |   69 +
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/test-typecheck.R                    |   16 
 APackOfTheClones-1.2.0/APackOfTheClones/tests/testthat/test-utils.R                        |   49 +
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 APackOfTheClones-1.2.0/APackOfTheClones/vignettes/APackOfTheClones-shared.Rmd              |    8 
 APackOfTheClones-1.2.0/APackOfTheClones/vignettes/APackOfTheClones.Rmd                     |    8 
 70 files changed, 1701 insertions(+), 991 deletions(-)

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New package yodel with initial version 1.0.0
Package: yodel
Title: A General Bayesian Model Averaging Helper
Version: 1.0.0
Description: Provides helper functions to perform Bayesian model averaging using Markov chain Monte Carlo samples from separate models. Calculates weights and obtains draws from the model-averaged posterior for quantities of interest specified by the user. Weight calculations can be done using marginal likelihoods or log-predictive likelihoods as in Ando, T., & Tsay, R. (2010) <doi:10.1016/j.ijforecast.2009.08.001>.
License: MIT + file LICENSE
URL: https://github.com/rich-payne/yodel
Imports: dplyr (>= 1.0), purrr (>= 0.3), rlang (>= 0.4)
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-04-12 19:12:48 UTC; c263386
Author: Richard Payne [aut, cre], Eli Lilly and Company [cph]
Maintainer: Richard Payne <paynestatistics@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-16 08:40:02 UTC

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New package vectorsurvR with initial version 0.1.0
Package: vectorsurvR
Title: Data Access and Analytical Tools for 'VectorSurv' Users
Version: 0.1.0
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: rstudioapi, dplyr, jsonlite, kableExtra, knitr, lubridate, stringr, plotly, ggplot2, httr, tidyr, magrittr, DT
Suggests: testthat (>= 3.0.0), rmarkdown, devtools,
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-04-12 23:39:21 UTC; Christina
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>
Repository: CRAN
Date/Publication: 2024-04-16 08:40:05 UTC

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New package norMmix with initial version 0.1-1
Package: norMmix
Version: 0.1-1
Title: Direct MLE for Multivariate Normal Mixture Distributions
Description: Multivariate Normal (i.e. Gaussian) Mixture Models (S3) Classes. Fitting models to data using MLE (maximum likelihood estimation) for multivariate normal mixtures via smart parametrization using the LDLt (Cholesky) decomposition. McLachlan, G. and Peel, D. (2000, ISBN:9780471006268) "Finite Mixture Models". Celeux, G. and Govaert, G. (1995) <doi:10.1016/0031-3203(94)00125-6> "Gaussian parsimonious clustering models". Marron, S. and Wand, M. (1992) <doi:10.1214/aos/1176348653> "Exact Mean Integrated Squared Error".
Imports: cluster, MASS, mvtnorm, mclust, sfsmisc
Suggests: nor1mix, Matrix, testthat (>= 2.1.0), knitr, rmarkdown
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-14 22:16:55 UTC; trn
Author: Nicolas Trutmann [aut, cre], Martin Maechler [aut, ths]
Maintainer: Nicolas Trutmann <nicolas.trutmann@gmx.ch>
Repository: CRAN
Date/Publication: 2024-04-16 09:00:02 UTC

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New package cardinalR with initial version 0.1.1
Package: cardinalR
Title: Collection of Data Structures
Version: 0.1.1
Description: A collection of simple simulation datasets designed for generating Nonlinear Dimension Reduction representations techniques such as t-distributed Stochastic Neighbor Embedding, and Uniform Manifold Approximation and Projection. These datasets serve as a valuable resource for understanding the reliability of Nonlinear Dimension Reduction representations in various contexts.
License: MIT + file LICENSE
URL: https://github.com/JayaniLakshika/cardinalR
BugReports: https://github.com/JayaniLakshika/cardinalR/issues
Depends: R (>= 3.5.0)
Imports: purrr, stats
Suggests: knitr, langevitour, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-15 06:22:26 UTC; jpiy0001
Author: Jayani P.G. Lakshika [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P.G. Lakshika <jayanilakshika76@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-16 09:00:06 UTC

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Package rmzqc updated to version 0.5.4 with previous version 0.5.3 dated 2023-08-25

Title: Creation, Reading and Validation of 'mzqc' Files
Description: Reads, writes and validates 'mzQC' files. The 'mzQC' format is a standardized file format for the exchange, transmission, and archiving of quality metrics derived from biological mass spectrometry data, as defined by the HUPO-PSI (Human Proteome Organisation - Proteomics Standards Initiative) Quality Control working group. See <https://hupo-psi.github.io/mzQC/> for details.
Author: Chris Bielow [aut, cre] , David Jimenez-Morales [rev, ctb]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>

Diff between rmzqc versions 0.5.3 dated 2023-08-25 and 0.5.4 dated 2024-04-16

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 R/obo.R                         |   43 -
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 man/validateFromString.Rd       |    2 
 tests/testthat/test_obo.R       |   10 
 19 files changed, 964 insertions(+), 939 deletions(-)

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Package lme4 updated to version 1.1-35.3 with previous version 1.1-35.2 dated 2024-03-28

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut, cre] , Steven Walker [aut] , Rune Haubo Bojesen Christensen [ctb] , Henrik Singmann [ctb] , Bin Dai [ctb], Fabian Scheipl [ctb] , Gabor Grothendieck [ctb], Peter Green [ctb] , John Fox [c [...truncated...]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

Diff between lme4 versions 1.1-35.2 dated 2024-03-28 and 1.1-35.3 dated 2024-04-16

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New package mapmisc with initial version 2.1.0
Package: mapmisc
Title: Utilities for Producing Maps
Version: 2.1.0
Date: 2024-04-15
Depends: terra, R (>= 3.5.0)
Imports: methods, grDevices, stats, utils, graphics, geosphere
Suggests: RColorBrewer, geonames, classInt, knitr
Enhances: XML, RCurl
Description: Provides a minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections. See Brown (2016) <doi:10.32614/RJ-2016-005>.
License: GPL
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-15 13:42:41 UTC; patrick
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Repository: CRAN
Date/Publication: 2024-04-16 06:20:03 UTC

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New package fastcpd with initial version 0.14.0
Package: fastcpd
Title: Fast Change Point Detection via Sequential Gradient Descent
Version: 0.14.0
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
License: GPL (>= 3)
URL: https://fastcpd.xingchi.li, https://github.com/doccstat/fastcpd
BugReports: https://github.com/doccstat/fastcpd/issues
Depends: R (>= 2.10)
Imports: fastglm, forecast, glmnet, Matrix, methods, Rcpp (>= 0.11.0), stats, tseries
Suggests: abind, breakfast, changepoint, cpm, CptNonPar, dplyr, fpop, ggplot2, gridExtra, jointseg, knitr, lubridate, matrixStats, mockthat, mvtnorm, not, numDeriv, RcppClock, reshape2, rmarkdown, segmented, stepR, testthat (>= 3.0.0), VARDetect, wbs, xml2, zoo
LinkingTo: progress, Rcpp, RcppArmadillo, RcppClock, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-15 17:47:21 UTC; doccstat
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>
Repository: CRAN
Date/Publication: 2024-04-16 06:20:09 UTC

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Package SmCCNet updated to version 2.0.3 with previous version 2.0.2 dated 2024-01-13

Title: Sparse Multiple Canonical Correlation Network Analysis Tool
Description: A canonical correlation based framework (SmCCNet) designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience.
Author: Weixuan Liu [aut, cre], Yonghua Zhuang [aut, cre], W. Jenny Shi [aut, cre], Thao Vu [aut], Iain Konigsberg [aut], Katherine Pratte [aut], Laura Saba [aut], Katerina Kechris [aut]
Maintainer: Weixuan Liu <weixuan.liu@cuanschutz.edu>

Diff between SmCCNet versions 2.0.2 dated 2024-01-13 and 2.0.3 dated 2024-04-16

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 SmCCNet-2.0.3/SmCCNet/MD5                                              |   24 +++++-----
 SmCCNet-2.0.3/SmCCNet/R/AutoSmCCNet.R                                  |   23 +++++++--
 SmCCNet-2.0.3/SmCCNet/R/SmCCNet-source.R                               |   23 ++++++---
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