Sun, 16 Oct 2022

Package rerddapXtracto updated to version 1.1.3 with previous version 1.1.2 dated 2021-09-26

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre], Marie Auger-Methe [ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

Diff between rerddapXtracto versions 1.1.2 dated 2021-09-26 and 1.1.3 dated 2022-10-16

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More information about rerddapXtracto at CRAN
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Package walker updated to version 1.0.6-1 with previous version 1.0.4 dated 2022-03-03

Title: Bayesian Generalized Linear Models with Time-Varying Coefficients
Description: Efficient Bayesian generalized linear models with time-varying coefficients as in Helske (2022, <doi:10.1016/j.softx.2022.101016>). Gaussian, Poisson, and binomial observations are supported. The Markov chain Monte Carlo (MCMC) computations are done using Hamiltonian Monte Carlo provided by Stan, using a state space representation of the model in order to marginalise over the coefficients for efficient sampling. For non-Gaussian models, the package uses the importance sampling type estimators based on approximate marginal MCMC as in Vihola, Helske, Franks (2020, <doi:10.1111/sjos.12492>).
Author: Jouni Helske [aut, cre]
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package learnr updated to version 0.11.0 with previous version 0.10.1 dated 2020-02-13

Title: Interactive Tutorials for R
Description: Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Author: Garrick Aden-Buie [aut, cre] , Barret Schloerke [aut] , JJ Allaire [aut, ccp], Alexander Rossell Hayes [ctb] , Nischal Shrestha [ctb] , Angela Li [ctb] , RStudio [cph, fnd], Ajax.org B.V. [ctb, cph] , Zeno Rocha [ctb, cph] , Nick Payne [ctb, cph] , J [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@rstudio.com>

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Package ggspectra updated to version 0.3.9 with previous version 0.3.8-1 dated 2022-08-15

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Permanent link

New package factset.protobuf.stach.v2 with initial version 1.0.6
Package: factset.protobuf.stach.v2
Version: 1.0.6
Title: 'FactSet' 'STACH V2' Library
Description: Generates 'RProtobuf' classes for 'FactSet' 'STACH V2' tabular format which represents complex multi-dimensional array of data. These classes help in the 'serialization' and 'deserialization' of 'STACH V2' formatted data. See 'GitHub' repository documentation for more information.
URL: https://github.com/factset/stachschema-sdks
BugReports: https://github.com/factset/stachschema-sdks/issues
License: Apache License 2.0
Encoding: UTF-8
Imports: R6
Depends: RProtoBuf
Suggests: testthat
SystemRequirements: ProtoBuf libraries and compiler version 3.3.0 or later; On Debian/Ubuntu these can be installed as libprotoc-dev, libprotobuf-dev and protobuf-compiler, while on Fedora/CentOS protobuf-devel and protobuf-compiler are needed.
NeedsCompilation: no
Packaged: 2022-10-12 10:54:53 UTC; vmupparaju
Author: Charlie Mathis [aut, cre]
Maintainer: Charlie Mathis <chmathis@factset.com>
Repository: CRAN
Date/Publication: 2022-10-16 20:32:31 UTC

More information about factset.protobuf.stach.v2 at CRAN
Permanent link

Package Spillover updated to version 0.1.0.2 with previous version 0.1.0.1 dated 2021-06-17

Title: Spillover/Connectedness Index Based on VAR Modelling
Description: A user-friendly tool for estimating both total and directional connectedness spillovers based on Diebold and Yilmaz (2009, 2012). It also provides the user with rolling estimation for total and net indices. User can find both orthogonalized and generalized versions for each kind of measures. See Diebold and Yilmaz (2009, 2012) find them at <doi:10.1111/j.1468-0297.2008.02208.x> and <doi:10.1016/j.ijforecast.2011.02.006>.
Author: Jilber Urbina
Maintainer: Jilber Urbina <jurbina@cipadla.com>

Diff between Spillover versions 0.1.0.1 dated 2021-06-17 and 0.1.0.2 dated 2022-10-16

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Package readwritesqlite updated to version 0.2.0 with previous version 0.1.2 dated 2020-07-13

Title: Enhanced Reading and Writing for 'SQLite' Databases
Description: Reads and writes data frames to 'SQLite' databases while preserving time zones (for POSIXct columns), projections (for 'sfc' columns), units (for 'units' columns), levels (for factors and ordered factors) and classes for logical, Date and 'hms' columns. It also logs changes to tables and provides more informative error messages.
Author: Joe Thorley [aut, cre] , Sebastian Dalgarno [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between readwritesqlite versions 0.1.2 dated 2020-07-13 and 0.2.0 dated 2022-10-16

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Package fdm2id updated to version 0.9.8 with previous version 0.9.7 dated 2022-10-08

Title: Data Mining and R Programming for Beginners
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Author: Alexandre Blansche [aut, cre]
Maintainer: Alexandre Blansche <alexandre.blansche@univ-lorraine.fr>

Diff between fdm2id versions 0.9.7 dated 2022-10-08 and 0.9.8 dated 2022-10-16

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Package KoboconnectR updated to version 1.2.0 with previous version 1.1.1 dated 2022-05-23

Title: Download Data from Kobotoolbox to R
Description: Wrapper for 'Kobotoolbox' APIs ver 2 mentioned at <https://support.kobotoolbox.org/api.html>, to download data from 'Kobotoolbox' to R. Small and simple package that adds immense convenience for the data professionals using 'Kobotoolbox'.
Author: Asitav Sen [aut, cre, cph]
Maintainer: Asitav Sen <hello@asitavsen.com>

Diff between KoboconnectR versions 1.1.1 dated 2022-05-23 and 1.2.0 dated 2022-10-16

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Package BRINDA updated to version 0.1.5 with previous version 0.1.4 dated 2022-04-12

Title: Computation of BRINDA Adjusted Micronutrient Biomarkers for Inflammation
Description: Inflammation can affect many micronutrient biomarkers and can thus lead to incorrect diagnosis of individuals and to over- or under-estimate the prevalence of deficiency in a population. Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) is a multi-agency and multi-country partnership designed to improve the interpretation of nutrient biomarkers in settings of inflammation and to generate context-specific estimates of risk factors for anemia (Suchdev (2016) <doi:10.3945/an.115.010215>). In the past few years, BRINDA published a series of papers to provide guidance on how to adjust micronutrient biomarkers, retinol binding protein, serum retinol, serum ferritin by Namaste (2020), soluble transferrin receptor (sTfR), serum zinc, serum and Red Blood Cell (RBC) folate, and serum B-12, using inflammation markers, alpha-1-acid glycoprotein (AGP) and/or C-Reactive Protein (CRP) by Namaste (2020) <doi:10.1093/ajcn/nqaa141>, Rohner (2017) <doi:10.3 [...truncated...]
Author: Hanqi Luo [cre, aut] , O Yaw Addo [aut] , Jiaxi Geng [ctb]
Maintainer: Hanqi Luo <LUOHANQI@gmail.com>

Diff between BRINDA versions 0.1.4 dated 2022-04-12 and 0.1.5 dated 2022-10-16

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Package spacefillr updated to version 0.3.1 with previous version 0.3.0 dated 2022-03-02

Title: Space-Filling Random and Quasi-Random Sequences
Description: Generates random and quasi-random space-filling sequences. Supports the following sequences: 'Halton', 'Sobol', 'Owen'-scrambled 'Sobol', 'Owen'-scrambled 'Sobol' with errors distributed as blue noise, progressive jittered, progressive multi-jittered ('PMJ'), 'PMJ' with blue noise, 'PMJ02', and 'PMJ02' with blue noise. Includes a 'C++' 'API'. Methods derived from "Constructing Sobol sequences with better two-dimensional projections" (2012) <doi:10.1137/070709359> S. Joe and F. Y. Kuo, "Progressive Multi-Jittered Sample Sequences" (2018) <https://graphics.pixar.com/library/ProgressiveMultiJitteredSampling/paper.pdf> Christensen, P., Kensler, A. and Kilpatrick, C., and "A Low-Discrepancy Sampler that Distributes Monte Carlo Errors as a Blue Noise in Screen Space" (2019) E. Heitz, B. Laurent, O. Victor, C. David and I. Jean-Claude, <doi:10.1145/3306307.3328191>.
Author: Tyler Morgan-Wall [aut, cph, cre] , Andrew Helmer [ctb, cph], Leonhard Gruenschloß [ctb, cph], Eric Heitz [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between spacefillr versions 0.3.0 dated 2022-03-02 and 0.3.1 dated 2022-10-16

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Package rrapply updated to version 1.2.6 with previous version 1.2.5 dated 2022-07-21

Title: Revisiting Base Rapply
Description: The minimal 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name, location, parents and siblings in the nested list of the element under evaluation. The rrapply() function builds upon rapply()'s native 'C' implementation and requires no other package dependencies.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

Diff between rrapply versions 1.2.5 dated 2022-07-21 and 1.2.6 dated 2022-10-16

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Package mark updated to version 0.5.3 with previous version 0.5.2 dated 2022-10-01

Title: Miscellaneous, Analytic R Kernels
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

Diff between mark versions 0.5.2 dated 2022-10-01 and 0.5.3 dated 2022-10-16

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Package FDX updated to version 1.0.5 with previous version 1.0.4 dated 2022-01-19

Title: False Discovery Exceedance Controlling Multiple Testing Procedures
Description: Multiple testing procedures for heterogeneous and discrete tests as described in Döhler and Roquain (2019) <arXiv:1912.04607v1>. The main algorithms of the paper are available as continuous, discrete and weighted versions.
Author: Sebastian Doehler [aut], Florian Junge [aut, cre], Etienne Roquain [ctb]
Maintainer: Florian Junge <florian.junge@h-da.de>

Diff between FDX versions 1.0.4 dated 2022-01-19 and 1.0.5 dated 2022-10-16

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Package africamonitor updated to version 0.2.1 with previous version 0.2.0 dated 2022-07-04

Title: Africa Macroeconomic Monitor Database API
Description: An R API providing access to a relational database with macroeconomic data for Africa. The database contains >700 macroeconomic time series from mostly international sources, grouped into 50 macroeconomic and development-related topics. Series are carefully selected on the basis of data coverage for Africa, frequency, and relevance to the macro-development context. The project is part of the 'Kiel Institute Africa Initiative' <https://www.ifw-kiel.de/institute/initiatives/kielinstituteafricainitiative/>, which, amongst other things, aims to develop a parsimonious database with highly relevant indicators to monitor macroeconomic developments in Africa, accessible through a fast API and a web-based platform at <https://africamonitor.ifw-kiel.de/>. The database is maintained at the Kiel Institute for the World Economy <https://www.ifw-kiel.de/>.
Author: Sebastian Krantz [aut, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

Diff between africamonitor versions 0.2.0 dated 2022-07-04 and 0.2.1 dated 2022-10-16

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New package vscc with initial version 0.4
Package: vscc
Title: Variable Selection for Clustering and Classification
Version: 0.4
Date: 2022-10-12
Author: Jeffrey L. Andrews [aut, cre], Paul D. McNicholas [aut]
Maintainer: Jeffrey L. Andrews <jeff.andrews@ubc.ca>
Description: Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods ('teigen' and 'mclust' are currently supported). See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2>.
License: GPL (>= 2)
Imports: teigen, mclust
NeedsCompilation: no
Packaged: 2022-10-12 21:49:20 UTC; jeffandr
Repository: CRAN
Date/Publication: 2022-10-16 12:40:02 UTC

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New package vistime with initial version 1.2.3
Package: vistime
Title: Pretty Timelines in R
Version: 1.2.3
Date: 2022-10-16
Description: A library for creating time based charts, like Gantt or timelines. Possible outputs include 'ggplot2' diagrams, 'plotly.js' graphs, 'Highcharts.js' widgets and data.frames. Results can be used in the 'RStudio' viewer pane, in 'RMarkdown' documents or in Shiny apps. In the interactive outputs created by vistime() and hc_vistime(), you can interact with the plot using mouse hover or zoom.
License: GPL-3 | file LICENSE
URL: https://shosaco.github.io/vistime/
BugReports: https://github.com/shosaco/vistime/issues
Depends: R (>= 3.2.0)
Imports: rlang, assertive.types (>= 0.0-3), plotly (>= 4.0.0), ggplot2 (>= 2.0.0), ggrepel (>= 0.7.0), RColorBrewer (>= 0.2.2)
Encoding: UTF-8
Suggests: prettydoc, knitr, rmarkdown, testthat (>= 3.0.0), covr, highcharter (> 0.1.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-10-15 19:14:38 UTC; s.raabe
Author: Sandro Raabe [aut, cre]
Maintainer: Sandro Raabe <sa.ra.online@posteo.de>
Repository: CRAN
Date/Publication: 2022-10-16 12:40:05 UTC

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New package sperrorest with initial version 3.0.5
Package: sperrorest
Title: Perform Spatial Error Estimation and Variable Importance Assessment
Version: 3.0.5
Description: Implements spatial error estimation and permutation-based variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap.
License: GPL-3
URL: https://giscience-fsu.github.io/sperrorest/, https://github.com/giscience-fsu/sperrorest
BugReports: https://github.com/giscience-fsu/sperrorest/issues
Depends: R (>= 2.10)
Imports: dplyr, future, future.apply, graphics, ROCR, stats, stringr
Suggests: knitr, MASS, nnet, parallel, ranger, rmarkdown, rpart, sp, testthat
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2022-10-12 16:39:19 UTC; yo54pow
Author: Alexander Brenning [aut, cre] , Patrick Schratz [aut] , Tobias Herrmann [ctb]
Maintainer: Alexander Brenning <alexander.brenning@uni-jena.de>
Repository: CRAN
Date/Publication: 2022-10-16 12:50:02 UTC

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Package ichimoku updated to version 1.4.2 with previous version 1.4.1 dated 2022-09-25

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between ichimoku versions 1.4.1 dated 2022-09-25 and 1.4.2 dated 2022-10-16

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Package ggstatsplot updated to version 0.9.5 with previous version 0.9.4 dated 2022-08-11

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph] , Chuck Powell [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between ggstatsplot versions 0.9.4 dated 2022-08-11 and 0.9.5 dated 2022-10-16

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 ggstatsplot-0.9.5/ggstatsplot/vignettes/web_only/ggbetweenstats.Rmd                                              |   10 
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Package gsw updated to version 1.1-1 with previous version 1.0-6 dated 2021-07-07

Title: Gibbs Sea Water Functions
Description: Provides an interface to the Gibbs 'SeaWater' ('TEOS-10') C library, version 3.06-16-0 (commit '657216dd4f5ea079b5f0e021a4163e2d26893371', dated 2022-10-11, available at <https://github.com/TEOS-10/GSW-C>, which stems from 'Matlab' and other code written by members of Working Group 127 of 'SCOR'/'IAPSO' (Scientific Committee on Oceanic Research / International Association for the Physical Sciences of the Oceans).
Author: Dan Kelley [aut, cre, cph] , Clark Richards [aut, cph] , WG127 SCOR/IAPSO [aut, cph]
Maintainer: Dan Kelley <dan.kelley@dal.ca>

Diff between gsw versions 1.0-6 dated 2021-07-07 and 1.1-1 dated 2022-10-16

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More information about gsw at CRAN
Permanent link

Package semmcci updated to version 1.0.3 with previous version 1.0.2 dated 2022-10-04

Title: Monte Carlo Confidence Intervals in Structural Equation Modeling
Description: Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package 'lavaan' can be generated using the 'semmcci' package. 'semmcci' has two main functions, namely, MC() and MCStd(). The output of 'lavaan' is passed as the first argument to the MC() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function to the MCStd() function. Preacher and Selig (2012) <doi:10.1080/19312458.2012.679848>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Shu Fai Cheung [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between semmcci versions 1.0.2 dated 2022-10-04 and 1.0.3 dated 2022-10-16

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New package unitquantreg with initial version 0.0.5
Package: unitquantreg
Title: Parametric Quantile Regression Models for Bounded Data
Version: 0.0.5
Maintainer: Andre F. B. Menezes <andrefelipemaringa@gmail.com>
Description: A collection of parametric quantile regression models for bounded data. At present, the package provides 13 parametric quantile regression models. It can specify regression structure for any quantile and shape parameters. It also provides several S3 methods to extract information from fitted model, such as residual analysis, prediction, plotting, and model comparison. For more computation efficient the [dpqr]'s, likelihood, score and hessian functions are written in C++. For further details see Mazucheli et. al (2022) <doi:10.1016/j.cmpb.2022.106816>.
License: Apache License (>= 2)
Encoding: UTF-8
ByteCompile: yes
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, optimx, stats, quantreg, Formula, MASS, numDeriv
Suggests: testthat (>= 3.0.0), rmarkdown, knitr, lmtest, ggplot2, covr
Depends: R (>= 3.5.0)
NeedsCompilation: yes
URL: https://andrmenezes.github.io/unitquantreg/
BugReports: https://github.com/AndrMenezes/unitquantreg/issues
VignetteBuilder: knitr
Packaged: 2022-10-13 15:05:19 UTC; amenezes
Author: Andre F. B. Menezes [aut, cre] , Josmar Mazucheli [aut]
Repository: CRAN
Date/Publication: 2022-10-16 07:30:02 UTC

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Package SPECK updated to version 0.1.1 with previous version 0.1.0 dated 2022-10-13

Title: Receptor Abundance Estimation using Reduced Rank Reconstruction and Clustered Thresholding
Description: Surface Protein abundance Estimation using CKmeans-based clustered thresholding ('SPECK') is an unsupervised learning-based method that performs receptor abundance estimation for single cell RNA-sequencing data based on reduced rank reconstruction (RRR) and a clustered thresholding mechanism. Seurat's normalization method is described in: Hao et al., (2021) <doi:10.1016/j.cell.2021.04.048>, Stuart et al., (2019) <doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018) <doi:10.1038/nbt.4096> and Satija et al., (2015) <doi:10.1038/nbt.3192>. Method for the RRR is further detailed in: Erichson et al., (2019) <doi:10.18637/jss.v089.i11> and Halko et al., (2009) <arXiv:0909.4061>. Clustering method is outlined in: Song et al., (2020) <doi:10.1093/bioinformatics/btaa613> and Wang et al., (2011) <doi:10.32614/RJ-2011-015>.
Author: H. Robert Frost [aut], Azka Javaid [aut, cre]
Maintainer: Azka Javaid <azka.javaid.gr@dartmouth.edu>

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New package spcr with initial version 2.1.1
Package: spcr
Title: Sparse Principal Component Regression
Version: 2.1.1
Date: 2022-10-15
Author: Shuichi Kawano
Maintainer: Shuichi Kawano <skawano@math.kyushu-u.ac.jp>
Description: The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.
License: GPL (>= 2)
URL: https://doi.org/10.1016/j.csda.2015.03.016, https://doi.org/10.1016/j.csda.2018.03.008, https://sites.google.com/site/shuichikawanoen/software
Repository: CRAN
NeedsCompilation: yes
Packaged: 2022-10-15 09:08:48 UTC; shuichi
Date/Publication: 2022-10-16 07:30:06 UTC

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Package ROI.plugin.qpoases updated to version 1.0-2 with previous version 1.0-1 dated 2022-10-03

Title: 'qpOASES' Plugin for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'qpOASES'. More information about 'qpOASES' can be found at <https://github.com/coin-or/qpOASES>.
Author: Florian Schwendinger [aut, cre], Hans Joachim Ferreau [cph], Andreas Potschka [cph], Christian Kirches [cph], Dennis Janka [cph], Andreas Waechter [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package Rlof updated to version 1.1.3 with previous version 1.1.2 dated 2020-07-02

Title: R Parallel Implementation of Local Outlier Factor(LOF)
Description: R parallel implementation of Local Outlier Factor(LOF) which uses multiple CPUs to significantly speed up the LOF computation for large datasets. (Note: The overall performance depends on the computers especially the number of the cores).It also supports multiple k values to be calculated in parallel, as well as various distance measures in addition to the default Euclidean distance.
Author: Yingsong Hu, Wayne Murray and Yin Shan, Australia.
Maintainer: Yingsong Hu <yingsonghu@hotmail.com>

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Package pdftools updated to version 3.3.2 with previous version 3.3.1 dated 2022-10-04

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package PCICt updated to version 0.5-4.2 with previous version 0.5-4.1 dated 2018-04-16

Title: Implementation of POSIXct Work-Alike for 365 and 360 Day Calendars
Description: Provides a work-alike to R's POSIXct class which implements 360- and 365-day calendars in addition to the gregorian calendar.
Author: David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate Impacts Consortium ; portions based on code written by the R-Core team and Ulrich Drepper.
Maintainer: James Hiebert <hiebert@uvic.ca>

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Package mikropml updated to version 1.4.0 with previous version 1.3.0 dated 2022-05-20

Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Description: An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Author: Beguem Topcuoğlu [aut] , Zena Lapp [aut] , Kelly Sovacool [aut, cre] , Evan Snitkin [aut] , Jenna Wiens [aut] , Patrick Schloss [aut] , Nick Lesniak [ctb] , Courtney Armour [ctb] , Sarah Lucas [ctb]
Maintainer: Kelly Sovacool <sovacool@umich.edu>

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Package matrixdist updated to version 1.1.6 with previous version 1.1.5 dated 2022-09-28

Title: Statistics for Matrix Distributions
Description: Tools for phase-type distributions including the following variants: continuous, discrete, multivariate, in-homogeneous, right-censored, and regression. Methods for functional evaluation, simulation and estimation using the expectation-maximization (EM) algorithm are provided for all models. The methods of this package are based on the following references. Asmussen, S., Nerman, O., & Olsson, M. (1996) <https://www.jstor.org/stable/4616418>, Olsson, M. (1996) <https://www.jstor.org/stable/4616419>, Albrecher, H., & Bladt, M. (2019) <doi:10.1017/jpr.2019.60>, Albrecher, H., Bladt, M., & Yslas, J. (2020) <doi:10.1111/sjos.12505>, Albrecher, H., Bladt, M., Bladt, M., & Yslas, J. (2022) <doi:10.1016/j.insmatheco.2022.08.001>, Bladt, M., & Yslas, J. (2022) <doi:10.1080/03461238.2022.2097019>, Bladt, M. (2022) <doi:10.1017/asb.2021.40>, Bladt, M. (2022). <arXiv:2110.05179>, Albrecher, H., Bladt, M., & Mueller, A. (2022) [...truncated...]
Author: Martin Bladt [aut, cre], Jorge Yslas [aut], Alaric Mueller [ctb]
Maintainer: Martin Bladt <martinbladt@gmail.com>

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 matrixdist-1.1.6/matrixdist/src/m_exp.cpp                       |    2 
 matrixdist-1.1.6/matrixdist/src/transformations.cpp             |   66 ++
 113 files changed, 1439 insertions(+), 207 deletions(-)

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Package filearray updated to version 0.1.5 with previous version 0.1.4 dated 2022-08-06

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between filearray versions 0.1.4 dated 2022-08-06 and 0.1.5 dated 2022-10-16

 DESCRIPTION               |    6 ++--
 MD5                       |   12 ++++----
 NEWS.md                   |    4 ++
 inst/doc/performance.html |   13 +++++++--
 src/load.cpp              |   65 ++++++++++++++++++++++++++++++++++------------
 src/map.cpp               |   14 ++++-----
 src/save.cpp              |   50 ++++++++++++++++++++++++++++-------
 7 files changed, 119 insertions(+), 45 deletions(-)

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New package EpiInvert with initial version 0.2.1
Package: EpiInvert
Version: 0.2.1
Title: Incidence Curve Decomposition by Inverting the Renewal Equation
Maintainer: Luis Alvarez <lalvarez@ulpgc.es>
Description: Estimation, by inverting a renewal equation, of time-varying reproduction numbers, 7-day seasonality, and restored incidence curves with festive days bias corrected as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540>. 'EpiInvert' can manage daily incidence data and weekly aggregated incidence data. This version of the package also includes 'EpiInvertForecast', a learning method for the short time forecast of the restored incidence curve.
URL: https://github.com/lalvarezmat/EpiInvert
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.8.3)
LinkingTo: Rcpp
Suggests: knitr, ggplot2, grid, dplyr, testthat (>= 3.0.0), rmarkdown
Depends: R (>= 2.10)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2022-10-14 12:16:39 UTC; lalva
Author: Luis Alvarez [aut, cre] , Jean-David Morel [ctb] , Jean-Michel Morel [ctb]
Repository: CRAN
Date/Publication: 2022-10-16 07:35:40 UTC

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New package paletteer with initial version 1.4.1
Package: paletteer
Title: Comprehensive Collection of Color Palettes
Version: 1.4.1
Author: See AUTHORS file.
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Description: The choices of color palettes in R can be quite overwhelming with palettes spread over many packages with many different API's. This packages aims to collect all color palettes across the R ecosystem under the same package with a streamlined API.
License: GPL-3
URL: https://github.com/EmilHvitfeldt/paletteer
BugReports: https://github.com/EmilHvitfeldt/paletteer/issues
Depends: R (>= 2.10)
Imports: prismatic, rematch2, rlang, rstudioapi
Suggests: covr, gameofthrones (>= 1.0.0), ggplot2 (>= 3.3.0), ggthemes (>= 4.0.0), harrypotter (>= 2.1.0), knitr, oompaBase, palr, pals, rmarkdown, scico, testthat (>= 2.1.0), vdiffr, viridisLite
Copyright: See LICENSE.note file.
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-15 15:51:45 UTC; emilhvitfeldt
Repository: CRAN
Date/Publication: 2022-08-15 16:50:02 UTC
X-CRAN-Comment: Archived on 2022-10-16 as issues were not corrected in time.

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Package languageserver updated to version 0.3.14 with previous version 0.3.13 dated 2022-05-24

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol/> for details.
Author: Randy Lai [aut, cre], Kun Ren [ctb]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between languageserver versions 0.3.13 dated 2022-05-24 and 0.3.14 dated 2022-10-16

 DESCRIPTION                   |   12 +--
 MD5                           |   47 ++++++------
 NAMESPACE                     |    2 
 NEWS.md                       |   23 ++++++
 R/completion.R                |   13 +++
 R/diagnostics.R               |   52 +++++++-------
 R/document.R                  |    8 +-
 R/folding.R                   |  119 ++++++++++++++++++++++----------
 R/handlers-general.R          |    3 
 R/handlers-langfeatures.R     |    3 
 R/handlers-workspace.R        |    6 -
 R/languagebase.R              |   11 +--
 R/languageclient.R            |   16 ++--
 R/languageserver.R            |   12 +--
 R/namespace.R                 |    2 
 R/section.R                   |only
 R/session.R                   |    8 +-
 R/symbol.R                    |   20 ++++-
 R/utils.R                     |  152 +-----------------------------------------
 README.md                     |    7 +
 man/languageserver-package.Rd |    2 
 src/languageserver.c          |    2 
 src/reader.h                  |    2 
 tests/testthat/test-folding.R |  131 +++++++++++++++++++++++++++++++++++-
 tests/testthat/test-symbol.R  |    4 -
 25 files changed, 372 insertions(+), 285 deletions(-)

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Package sfnetworks (with last version 0.6.0) was removed from CRAN

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

2022-08-19 0.6.0
2022-02-16 0.5.5
2021-12-17 0.5.4
2021-11-26 0.5.3
2021-05-13 0.5.2
2021-03-27 0.5.1
2021-03-11 0.5.0

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Package mlr3spatiotempcv (with last version 2.0.2) was removed from CRAN

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

2022-08-09 2.0.2
2022-06-22 2.0.1
2022-06-14 2.0.0
2022-03-03 1.0.1
2021-08-19 1.0.0
2021-06-23 0.4.1
2021-06-03 0.4.0
2021-04-13 0.3.0

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Package paletteer (with last version 1.4.1) was removed from CRAN

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

2022-08-15 1.4.1
2021-07-20 1.4.0
2021-01-06 1.3.0
2020-06-07 1.2.0
2020-03-10 1.1.0
2019-12-17 1.0.0
2019-02-13 0.2.1
2019-02-04 0.2.0
2018-07-10 0.1.0

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Package boomer (with last version 0.1.1) was removed from CRAN

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

2022-09-16 0.1.1
2021-07-20 0.1.0

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