Thu, 22 Sep 2022

Package rxode2 updated to version 2.0.8 with previous version 2.0.7 dated 2022-05-17

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Melissa Hallow [aut], Wenping Wang [aut], Zufar Mulyukov [ctb], Alan Hindmarsh [ctb], Awad H. Al-Mohy [ctb], Matt Dowle [ctb], Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Arun Srinivasan [ctb], Ernst Hair [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package GeoTcgaData updated to version 1.1.1.992 with previous version 1.1.1 dated 2022-08-12

Title: Processing various types of data on GEO and TCGA
Description: Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us with a wealth of data, such as RNA-seq, DNA Methylation, SNP and Copy number variation data. It's easy to download data from TCGA using the gdc tool, but processing these data into a format suitable for bioinformatics analysis requires more work. This R package was developed to handle these data.
Author: Erqiang Hu [aut, cre]
Maintainer: Erqiang Hu <13766876214@163.com>

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Package bbknnR updated to version 1.0.2 with previous version 1.0.1 dated 2022-08-23

Title: Perform Batch Balanced KNN in R
Description: A fast and intuitive batch effect removal tool for single-cell data. BBKNN is originally used in the 'scanpy' python package, and now can be used with 'Seurat' seamlessly.
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <liyuchen_1995@outlook.com>

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Package IsoriX updated to version 0.9.0 with previous version 0.8.3 dated 2022-09-12

Title: Isoscape Computation and Inference of Spatial Origins using Mixed Models
Description: Building isoscapes using mixed models and inferring the geographic origin of samples based on their isotopic ratios. This package is essentially a simplified interface to several other packages which implements a new statistical framework based on mixed models. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps produced with 'raster' using 'lattice'.
Author: Alexandre Courtiol [aut, cre] , Francois Rousset [aut] , Marie-Sophie Rohwaeder [aut], Stephanie Kramer-Schadt [aut]
Maintainer: Alexandre Courtiol <alexandre.courtiol@gmail.com>

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Package ClimMobTools updated to version 0.5 with previous version 0.4.6 dated 2022-08-10

Title: API Client for the 'ClimMob' Platform
Description: API client for 'ClimMob', an open source software for decentralized large-N trials with the 'tricot' approach <https://climmob.net/>. Developed by van Etten et al. (2016) <doi:10.1017/S0014479716000739>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions for the target environment, it enables many participants to carry out reasonably simple experiments that taken together can offer even more information. 'ClimMobTools' enables project managers to deep explore and analyse their 'ClimMob' data in R.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , Brandon Madriz [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

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Package satin updated to version 1.1.0 with previous version 1.0 dated 2020-10-07

Title: Visualisation and Analysis of Ocean Data Derived from Satellites
Description: With 'satin' functions, visualisation, data extraction and further analysis like producing climatologies from several images, and anomalies of satellite derived ocean data can be easily done. Reading functions can import a user defined geographical extent of data stored in netCDF files. Currently supported ocean data sources include NASA's Oceancolor web page <https://oceancolor.gsfc.nasa.gov/>, sensors VIIRS-SNPP; MODIS-Terra; MODIS-Aqua; and SeaWiFS. Available variables from this source includes chlorophyll concentration, sea surface temperature (SST), and several others. Data sources specific for SST that can be imported too includes Pathfinder AVHRR <https://www.ncei.noaa.gov/products/avhrr-pathfinder-sst> and GHRSST <https://www.ghrsst.org/>. In addition, ocean productivity data produced by Oregon State University <http://sites.science.oregonstate.edu/ocean.productivity/> can also be handled previous conversion from HDF4 to HDF5 format. Many other oce [...truncated...]
Author: Hector Villalobos and Eduardo Gonzalez-Rodriguez <egonzale@cicese.mx>
Maintainer: Hector Villalobos <hvillalo@ipn.mx>

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Package Rdimtools updated to version 1.1.0 with previous version 1.0.9 dated 2022-02-04

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on the package, see the paper by You (2020) <arXiv:2005.11107>.
Author: Kisung You [aut, cre] , Changhee Suh [ctb], Dennis Shung [ctb]
Maintainer: Kisung You <kisungyou@outlook.com>

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Package NEONiso updated to version 0.6.1 with previous version 0.6.0 dated 2022-08-08

Title: Tools to Calibrate and Work with NEON Atmospheric Isotope Data
Description: Functions for downloading, calibrating, and analyzing atmospheric isotope data bundled into the eddy covariance data products of the National Ecological Observatory Network (NEON) <https://www.neonscience.org>. Calibration tools are provided for carbon and water isotope products. Carbon isotope calibration details are found in Fiorella et al. (2021) <doi:10.1029/2020JG005862>, and the readme file at <https://github.com/lanl/NEONiso>. Tools for calibrating water isotope products have been added as of 0.6.0, but have known deficiencies and should be considered very experimental currently.
Author: Rich Fiorella [aut, cre]
Maintainer: Rich Fiorella <rfiorella@lanl.gov>

Diff between NEONiso versions 0.6.0 dated 2022-08-08 and 0.6.1 dated 2022-09-22

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Package dccvalidator (with last version 0.3.0) was removed from CRAN

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

2020-06-19 0.3.0
2020-03-12 0.2.0
2020-01-26 0.1.0

Permanent link
New package qlifetable with initial version 0.0.1-12
Package: qlifetable
Title: Managing and Building of Quarterly Life Tables
Version: 0.0.1-12
Description: Manages, builds and computes statistics and datasets for the construction of quarterly (sub-annual) life tables by exploiting micro-data from either a general or an insured population. References: Pavía and Lledó (2022) <doi:10.1111/rssa.12769>.
License: EPL
Encoding: UTF-8
Imports: stats, methods
Suggests: ggplot2, scales
NeedsCompilation: no
Packaged: 2022-09-22 14:44:01 UTC; Jose M Pavia
Author: Jose M. Pavia [aut, cre] , Josep Lledo [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2022-09-22 17:10:02 UTC

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New package graphPAF with initial version 1.0.0
Package: graphPAF
Title: Estimating and Displaying Population Attributable Fractions
Version: 1.0.0
Description: Estimation and display of various types of population attributable fraction and impact fractions. As well as the usual calculations of attributable fractions and impact fractions, functions are provided for continuous exposures, for pathway specific population attributable fractions, and for joint, average and sequential population attributable fractions. See O'Connell and Ferguson (2022) <doi:10.1093/ije/dyac079>, Ferguson et al. (2020) <doi:10.1186/s13690-020-00442-x>, Ferguson et al. (2019) <doi:10.1186/s12874-019-0827-4>, Ferguson et al. (2019) <doi:10.1515/em-2019-0037>, as well the accompanying package vignette, for an overview of methods implemented.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/johnfergusonNUIG/graphPAF
BugReports: https://github.com/johnfergusonNUIG/graphPAF/issues
Imports: boot, ggplot2, ggrepel, gridExtra, gtools, MASS, reshape2, survival, splines, dplyr
Depends: R (>= 3.5.0)
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2022-09-22 16:41:24 UTC; John1
Author: John Ferguson [aut, cre]
Maintainer: John Ferguson <john.ferguson@nuigalway.ie>
Repository: CRAN
Date/Publication: 2022-09-22 17:10:05 UTC

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Package sglasso updated to version 1.2.5 with previous version 1.2.4 dated 2019-12-05

Title: Lasso Method for RCON(V,E) Models
Description: RCON(V, E) models are a kind of restriction of the Gaussian Graphical Models defined by a set of equality constraints on the entries of the concentration matrix. 'sglasso' package implements the structured graphical lasso (sglasso) estimator proposed in Abbruzzo et al. (2014) for the weighted l1-penalized RCON(V, E) model. Two cyclic coordinate algorithms are implemented to compute the sglasso estimator, i.e. a cyclic coordinate minimization (CCM) and a cyclic coordinate descent (CCD) algorithm.
Author: Luigi Augugliaro
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>

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Package scoper updated to version 1.2.1 with previous version 1.2.0 dated 2021-11-02

Title: Spectral Clustering-Based Method for Identifying B Cell Clones
Description: Provides a computational framework for identification of B cell clones from Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data. Three main functions are included (identicalClones, hierarchicalClones, and spectralClones) that perform clustering among sequences of BCRs/IGs (B cell receptors/immunoglobulins) which share the same V gene, J gene and junction length. Nouri N and Kleinstein SH (2018) <doi: 10.1093/bioinformatics/bty235>. Nouri N and Kleinstein SH (2019) <doi: 10.1101/788620>. Gupta NT, et al. (2017) <doi: 10.4049/jimmunol.1601850>.
Author: Nima Nouri [aut], Edel Aron [ctb], Susanna Marquez [ctb, cre], Jason Vander Heiden [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package refdb updated to version 0.1.1 with previous version 0.1.0 dated 2022-09-19

Title: A DNA Reference Library Manager
Description: Reference database manager offering a set of functions to import, organize, clean, filter, audit and export reference genetic data. Provide functions to download sequence data from Bold Systems (<https://www.boldsystems.org/>) and NCBI GenBank <https://www.ncbi.nlm.nih.gov/genbank/>. Designed as an environment for semi-automatic and assisted construction of reference databases and to improve standardization and repeatability in barcoding and metabarcoding studies.
Author: Francois Keck [aut, cre, cph]
Maintainer: Francois Keck <francois.keck@gmail.com>

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New package glmmrBase with initial version 0.1.2
Package: glmmrBase
Title: Specification of Generalised Linear Mixed Models
Version: 0.1.2
Date: 2022-09-16
Description: Specification of generalised linear mixed models using the 'R6' object-orientated class system. The package provides classes 'Covariance', 'MeanFunction' and 'Model', which allow for flexible specification of generalised linear mixed models, as well as functionality to produce relevant matrices, values, and analyses. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual.
License: GPL (>= 2)
Imports: methods, Rcpp (>= 1.0.7), R6
LinkingTo: Rcpp (>= 0.12.0), RcppArmadillo, RcppParallel (>= 5.0.1)
NeedsCompilation: yes
Author: Sam Watson [aut, cre], Yi Pan [aut]
URL: https://github.com/samuel-watson/glmmrBase
BugReports: https://github.com/samuel-watson/glmmrBase/issues
Suggests: testthat
Biarch: true
Depends: R (>= 3.4.0), Matrix (>= 1.3-1)
SystemRequirements: GNU make
Encoding: UTF-8
Packaged: 2022-09-22 10:11:29 UTC; samue
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Repository: CRAN
Date/Publication: 2022-09-22 17:00:09 UTC

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Package adw updated to version 0.2.0 with previous version 0.1.0 dated 2022-03-01

Title: Angular Distance Weighting Interpolation
Description: The irregularly-spaced data are interpolated onto regular latitude-longitude grids by weighting each station according to its distance and angle from the center of a search radius.
Author: Panfeng Zhang [aut, cre]
Maintainer: Panfeng Zhang <zhangpanfeng@cug.edu.cn>

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Package rabhit updated to version 0.2.4 with previous version 0.2.1 dated 2022-02-16

Title: Inference Tool for Antibody Haplotype
Description: Infers V-D-J haplotypes and gene deletions from AIRR-seq data for Ig and TR chains, based on J, D, or V genes as anchor, by adapting a Bayesian framework. It also calculates a Bayes factor, a number that indicates the certainty level of the inference, for each haplotyped gene. Citation: Gidoni, et al (2019) <doi:10.1038/s41467-019-08489-3>. Peres and Gidoni, et al (2019) <doi:10.1093/bioinformatics/btz481>.
Author: Ayelet Peres [aut, cre], Moriah Gidoni [aut], Gur Yaari [aut, cph]
Maintainer: Ayelet Peres <peresay@biu.ac.il>

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Package universals updated to version 0.0.5 with previous version 0.0.4 dated 2020-09-24

Title: S3 Generics for Bayesian Analyses
Description: Provides S3 generic methods and some default implementations for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples. The purpose of 'universals' is to reduce package dependencies and conflicts. The 'nlist' package implements many of the methods for its 'nlist' class.
Author: Joe Thorley [aut, cre] , Kirill Mueller [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package sen2r updated to version 1.5.3 with previous version 1.5.1 dated 2022-04-12

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] , Lorenzo Busetto [aut] , Marina Ranghetti [ctb]
Maintainer: Luigi Ranghetti <sen2r@ranghetti.info>

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Package pracma updated to version 2.4.2 with previous version 2.3.8 dated 2022-03-04

Title: Practical Numerical Math Functions
Description: Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Author: Hans W. Borchers [aut, cre]
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

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New package rlibkriging with initial version 0.7-0
Package: rlibkriging
Title: Kriging Models using the 'libKriging' Library
Version: 0.7-0
Date: 2022-08-31
Maintainer: Yann Richet <yann.richet@irsn.fr>
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, and 'lbfgsb_cpp' is a 'C++' wrapper by Colin Fang around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
License: Apache License (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.2)
Imports: Rcpp (>= 0.12.11), methods, DiceKriging
Suggests: testthat, RobustGaSP, utils, DiceDesign, foreach
SystemRequirements: GNU make, cmake (>= 3.2.0), gcc, gfortran
URL: https://github.com/libKriging
NeedsCompilation: yes
Packaged: 2022-09-21 09:03:30 UTC; richet
Author: Pascal Have [aut], Yann Richet [aut, cre] , Yves Deville [aut], Conrad Sanderson [ctb], Colin Fang [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb]
Repository: CRAN
Date/Publication: 2022-09-22 13:50:02 UTC

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Package envir updated to version 0.2.2 with previous version 0.2.1 dated 2021-09-20

Title: Manage R Environments Better
Description: Provides a small set of functions for managing R environments, with defaults designed to encourage usage patterns that scale well to larger code bases. It provides: import_from(), a flexible way to assign bindings that defaults to the current environment; include(), a vectorized alternative to base::source() that also default to the current environment; and attach_eval() and attach_source(), a way to evaluate expressions in attached environments. Together, these (and other) functions pair to provide a robust alternative to base::library() and base::source().
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <kalinowskit@gmail.com>

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Package DiceView updated to version 2.0-2 with previous version 2.0-1 dated 2020-11-27

Title: Methods for Visualization of Computer Experiments Design and Surrogate
Description: View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.
Author: Yann Richet [aut, cre] , Yves Deville [aut], Clement Chevalier [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>

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Package datefixR updated to version 1.2.0 with previous version 1.1.0 dated 2022-08-12

Title: Standardize Dates in Different Formats or with Missing Data
Description: There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Author: Nathan Constantine-Cooke [aut, cre] , Jonathan Kitt [ctb, trl], Antonio J. Perez-Luque [ctb, trl] , Kaique dos S. Alves [rev] , Al-Ahmadgaid B. Asaad [rev]
Maintainer: Nathan Constantine-Cooke <nathan.constantine-cooke@ed.ac.uk>

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Package rAmCharts4 updated to version 1.6.0 with previous version 1.5.0 dated 2021-10-10

Title: Interface to the JavaScript Library 'amCharts 4'
Description: Creates JavaScript charts. The charts can be included in 'Shiny' apps and R markdown documents, or viewed from the R console and 'RStudio' viewer. Based on the JavaScript library 'amCharts 4' and the R packages 'htmlwidgets' and 'reactR'. Currently available types of chart are: vertical and horizontal bar chart, radial bar chart, stacked bar chart, vertical and horizontal Dumbbell chart, line chart, scatter chart, range area chart, gauge chart, boxplot chart, pie chart, and 100% stacked bar chart.
Author: Stephane Laurent [aut, cre], Antanas Marcelionis [ctb, cph] ), Terence Eden [ctb, cph] ), Tom Alexander [ctb, cph] )
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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 R/amScatterChart.R               | 2073 ++--
 R/amStackedBarChart.R            |    7 
 inst/htmlwidgets/amChart4.js     |20121 ++++++++++++++++++++-------------------
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Package SCORPION updated to version 1.0.1 with previous version 1.0.0 dated 2022-09-21

Title: Single Cell Oriented Reconstruction of PANDA Individual Optimized Networks
Description: Constructs gene regulatory networks from single-cell gene expression data using the PANDA (Passing Attributes between Networks for Data Assimilation) algorithm.
Author: Daniel Osorio [aut, cre] , Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>

Diff between SCORPION versions 1.0.0 dated 2022-09-21 and 1.0.1 dated 2022-09-22

 DESCRIPTION  |    6 +++---
 MD5          |    4 ++--
 R/runPANDA.R |    5 +++--
 3 files changed, 8 insertions(+), 7 deletions(-)

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Package LambertW updated to version 0.6.7-1 with previous version 0.6.7 dated 2022-02-28

Title: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data
Description: Lambert W x F distributions are a generalized framework to analyze skewed, heavy-tailed data. It is based on an input/output system, where the output random variable (RV) Y is a non-linearly transformed version of an input RV X ~ F with similar properties as X, but slightly skewed (heavy-tailed). The transformed RV Y has a Lambert W x F distribution. This package contains functions to model and analyze skewed, heavy-tailed data the Lambert Way: simulate random samples, estimate parameters, compute quantiles, and plot/ print results nicely. The most useful function is 'Gaussianize', which works similarly to 'scale', but actually makes the data Gaussian. A do-it-yourself toolkit allows users to define their own Lambert W x 'MyFavoriteDistribution' and use it in their analysis right away.
Author: Georg M. Goerg [aut, cre]
Maintainer: Georg M. Goerg <im@gmge.org>

Diff between LambertW versions 0.6.7 dated 2022-02-28 and 0.6.7-1 dated 2022-09-22

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 MD5                             |   16 ++++++++--------
 NEWS.md                         |    4 ++++
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 README.md                       |    2 +-
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 9 files changed, 29 insertions(+), 25 deletions(-)

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New package topdowntimeratio with initial version 0.1.0
Package: topdowntimeratio
Title: Top-Down Time Ratio Segmentation for Coordinate Trajectories
Version: 0.1.0
Description: Data collected on movement behavior is often in the form of time- stamped latitude/longitude coordinates sampled from the underlying movement behavior. These data can be compressed into a set of segments via the Top- Down Time Ratio Segmentation method described in Meratnia and de By (2004) <doi:10.1007/978-3-540-24741-8_44> which, with some loss of information, can both reduce the size of the data as well as provide corrective smoothing mechanisms to help reduce the impact of measurement error. This is an improvement on the well-known Douglas-Peucker algorithm for segmentation that operates not on the basis of perpendicular distances. Top-Down Time Ratio segmentation allows for disparate sampling time intervals by calculating the distance between locations and segments with respect to time. Provided a trajectory with timestamps, tdtr() returns a set of straight- line segments that can represent the full trajectory. McCool, Lugtig, and Schouten (2022) <doi:10.1007/s11116-022- [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table (>= 1.9.8), geodist (>= 0.0.4), lubridate, magrittr, stats
Depends: R (>= 4.1)
Suggests: spelling, testthat
Language: en-US
NeedsCompilation: no
Packaged: 2022-09-21 22:39:04 UTC; Mccoo002
Author: Danielle McCool [aut, cre]
Maintainer: Danielle McCool <d.m.mccool@uu.nl>
Repository: CRAN
Date/Publication: 2022-09-22 08:50:02 UTC

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Package sparsegl updated to version 0.5.0 with previous version 0.4.0 dated 2022-09-05

Title: Sparse Group Lasso
Description: Efficient implementation of sparse group lasso with optional bound constraints on the coefficients. It supports the use of a sparse design matrix as well as returning coefficient estimates in a sparse matrix. Furthermore, it correctly calculates the degrees of freedom to allow for information criteria rather than cross-validation with very large data. Finally, the interface to compiled code avoids unnecessary copies and allows for the use of long integers.
Author: Daniel J. McDonald [aut, cre], Xiaoxuan Liang [aut], Aaron Cohen [aut]
Maintainer: Daniel J. McDonald <daniel@stat.ubc.ca>

Diff between sparsegl versions 0.4.0 dated 2022-09-05 and 0.5.0 dated 2022-09-22

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New package Rmolt with initial version 1.0.0
Package: Rmolt
Title: Graphic Visualization of the Birds' Molt
Version: 1.0.0
Date: 2022-09-16
Maintainer: Martin Bozon <bozon.etu@gmail.com>
Description: Graphical visualization of the birds' molt to facilitate the creation of molting graph for passerines having 9 (Rmolt(data,9)) or 10 primaries (Rmolt(data,10)), and also only for the 10 first primaries (Rmolt(data,"10_0")).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-21 18:00:05 UTC; Boss
Author: Martin Bozon [cre, aut]
Repository: CRAN
Date/Publication: 2022-09-22 08:40:18 UTC

More information about Rmolt at CRAN
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Package mosaicCore updated to version 0.9.2.1 with previous version 0.9.2 dated 2022-08-26

Title: Common Utilities for Other MOSAIC-Family Packages
Description: Common utilities used in other MOSAIC-family packages are collected here.
Author: Randall Pruim <rpruim@calvin.edu>, Daniel T. Kaplan <kaplan@macalester.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>

Diff between mosaicCore versions 0.9.2 dated 2022-08-26 and 0.9.2.1 dated 2022-09-22

 DESCRIPTION                        |    6 +++---
 MD5                                |    4 ++--
 tests/testthat/test-makeFunction.R |    1 +
 3 files changed, 6 insertions(+), 5 deletions(-)

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Package miceadds updated to version 3.15-21 with previous version 3.14-3 dated 2022-08-25

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are implemented. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>), substantive model compatible imputation (Bartlett et al., 2015, <doi:10.1177/0962280214521348>), and features for the generation of synthetic datasets (Reiter, 2005, <doi:10. [...truncated...]
Author: Alexander Robitzsch [aut,cre] , Simon Grund [aut] , Thorsten Henke [ctb]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 3.14-3 dated 2022-08-25 and 3.15-21 dated 2022-09-22

 DESCRIPTION                                     |   14 +++---
 MD5                                             |   32 +++++++++-----
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 21 files changed, 132 insertions(+), 56 deletions(-)

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Package Directional updated to version 5.6 with previous version 5.5 dated 2022-05-24

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153--165. <doi:10. [...truncated...]
Author: Michail Tsagris, Giorgos Athineou, Christos Adam, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 5.5 dated 2022-05-24 and 5.6 dated 2022-09-22

 DESCRIPTION                |    8 +++---
 MD5                        |   46 +++++++++++++++++++--------------------
 R/esag.mle.R               |   12 +++++-----
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 R/mixvmf.mle.R             |   52 +++++++++++++++++++++++++--------------------
 R/vec.R                    |    6 +----
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New package BiOFI with initial version 0.1.0
Package: BiOFI
Title: Feature Identification Between Metabolome and Microbiome in Disease and Health
Version: 0.1.0
Maintainer: Tianlu Chen <chentianlu@sjtu.edu.cn>
Description: A strategy that provides the identification of metabolome and microbiome (Bi-omics) feature. It is able to screen out key/driving features (metabolites, microbes, and pathway functions) by an integrated importance score (IIS),combining sub-scores derived from difference, correlation, abundance, and network analysis. It is able to identify microbe-function-metabolite chains and to rank association pairs within specific functions.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, Hmisc, ggplot2, ggrepel, htmlwidgets, igraph, magrittr, networkD3, tidyverse, visNetwork, ppcor
Depends: R (>= 3.5.0)
Author: Tianlu Chen [aut, cre]
NeedsCompilation: no
Packaged: 2022-09-21 09:26:04 UTC; sun
Repository: CRAN
Date/Publication: 2022-09-22 09:00:08 UTC

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New package adjustedCurves with initial version 0.9.0
Package: adjustedCurves
Title: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions
Version: 0.9.0
Maintainer: Robin Denz <robin.denz@rub.de>
Description: Estimate and plot confounder-adjusted survival curves using either 'Direct Adjustment', 'Direct Adjustment with Pseudo-Values', various forms of 'Inverse Probability of Treatment Weighting', two forms of 'Augmented Inverse Probability of Treatment Weighting', 'Empirical Likelihood Estimation' and 'Targeted Maximum Likelihood Estimation'. Also includes a significance test for the difference between two adjusted survival curves and the calculation of adjusted restricted mean survival times. Additionally enables the user to estimate and plot cause-specific confounder-adjusted cumulative incidence functions in the competing risks setting using the same methods (with some exceptions). For details, see Denz et. al (2022) <arXiv:2203.10002v1>.
License: GPL (>= 3)
URL: https://github.com/RobinDenz1/adjustedCurves, https://robindenz1.github.io/adjustedCurves/
BugReports: https://github.com/RobinDenz1/adjustedCurves/issues
Imports: R.utils, doParallel, doRNG, dplyr (>= 1.0.0), foreach, rlang
Suggests: MASS, Matching (>= 4.9), R6, SuperLearner (>= 2.0.0), WeightIt (>= 0.11.0), cmprsk (>= 2.2), eventglm (>= 1.1.1), geepack (>= 1.3), ggplot2 (>= 3.0.0), knitr, mice (>= 3.0.0), nnet, pammtools (>= 0.5), pec (>= 2020.11.17), prodlim (>= 2019.11.13), riskRegression (>= 2020.12.08), rmarkdown, survival (>= 3.0.0), survtmle (>= 1.1), testthat (>= 3.0.0), tidyr, ggpp (>= 0.4.3), vdiffr (>= 1.0.0), covr
VignetteBuilder: knitr
Contact: <robin.denz@rub.de>
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-21 16:34:45 UTC; Robin Denz
Author: Robin Denz [aut, cre]
Repository: CRAN
Date/Publication: 2022-09-22 08:40:13 UTC

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Package sdcTable updated to version 0.32.4 with previous version 0.32.3 dated 2022-07-16

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>

Diff between sdcTable versions 0.32.3 dated 2022-07-16 and 0.32.4 dated 2022-09-22

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Package mlr3misc updated to version 0.11.0 with previous version 0.10.0 dated 2022-01-11

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3misc versions 0.10.0 dated 2022-01-11 and 0.11.0 dated 2022-09-22

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Permanent link

Package igraph updated to version 1.3.5 with previous version 1.3.4 dated 2022-07-19

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Tamas Nepusz <ntamas@gmail.com>

Diff between igraph versions 1.3.4 dated 2022-07-19 and 1.3.5 dated 2022-09-22

 DESCRIPTION                                        |    6 
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 tests/testthat/test_hsbm.R                         |    2 
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New package CovRegRF with initial version 1.0.1
Package: CovRegRF
Title: Covariance Regression with Random Forests
Version: 1.0.1
Description: Covariance Regression with Random Forests ('CovRegRF') is a random forest method for estimating the covariance matrix of a multivariate response given a set of covariates. Random forest trees are built with a new splitting rule which is designed to maximize the distance between the sample covariance matrix estimates of the child nodes. The method is described in Alakus et al. (2022) <arXiv:2209.08173>. 'CovRegRF' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2022) <https://cran.r-project.org/package=randomForestSRC> by freezing at the version 3.1.0. The custom splitting rule feature is utilised to apply the proposed splitting rule.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, data.tree, DiagrammeR
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-09-21 14:55:43 UTC; cansualakus
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2022-09-22 07:40:01 UTC

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Package tmod (with last version 0.46.2) was removed from CRAN

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2020-10-02 0.46.2
2020-06-18 0.44
2018-11-29 0.40
2018-03-10 0.36

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

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2021-09-29 0.1.1

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

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

2021-08-04 2.0.1
2019-04-25 2.0.0
2018-06-03 1.4.1
2017-11-30 1.4.0
2017-07-08 1.3.1
2017-06-22 1.3.0
2017-05-28 1.2.0
2017-05-14 1.1.0
2017-05-02 1.0.2
2017-04-28 1.0.1
2017-04-25 1.0.0

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Package colorDF (with last version 0.1.4) was removed from CRAN

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2020-10-02 0.1.4
2020-07-01 0.1.2
2020-06-26 0.1.0

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Package disco (with last version 0.6) was removed from CRAN

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2018-07-02 0.6

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Package shinyHugePlot updated to version 0.1.0 with previous version 0.0.1 dated 2022-08-22

Title: Efficient Plotting of Large-Sized Data
Description: A tool to plot data with large sample size using 'shiny' and 'plotly'. Relatively small samples are chosen from the data using an appropriate algorithm according to a user-defined x range. Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost (2022) <https://github.com/predict-idlab/plotly-resampler>.
Author: Junta Tagusari [aut, cre, cph], Jonas Van Der Donckt [cph], Jeroen Van Der Donckt [cph], Emiel Deprost [cph]
Maintainer: Junta Tagusari <j.tagusari@eng.hokudai.ac.jp>

Diff between shinyHugePlot versions 0.0.1 dated 2022-08-22 and 0.1.0 dated 2022-09-22

 shinyHugePlot-0.0.1/shinyHugePlot/R/plotlyHugeData.R               |only
 shinyHugePlot-0.0.1/shinyHugePlot/man/max_aggregator.Rd            |only
 shinyHugePlot-0.0.1/shinyHugePlot/man/mean_aggregator.Rd           |only
 shinyHugePlot-0.0.1/shinyHugePlot/man/median_aggregator.Rd         |only
 shinyHugePlot-0.0.1/shinyHugePlot/man/min_aggregator.Rd            |only
 shinyHugePlot-0.1.0/shinyHugePlot/DESCRIPTION                      |   10 
 shinyHugePlot-0.1.0/shinyHugePlot/MD5                              |   73 -
 shinyHugePlot-0.1.0/shinyHugePlot/NAMESPACE                        |    8 
 shinyHugePlot-0.1.0/shinyHugePlot/NEWS.md                          |    5 
 shinyHugePlot-0.1.0/shinyHugePlot/R/abstract_aggregator.R          |    2 
 shinyHugePlot-0.1.0/shinyHugePlot/R/abstract_downsampler.R         |  255 ++++--
 shinyHugePlot-0.1.0/shinyHugePlot/R/aggregators.R                  |  378 ++++------
 shinyHugePlot-0.1.0/shinyHugePlot/R/apply_downsampler.R            |   15 
 shinyHugePlot-0.1.0/shinyHugePlot/R/shinyHugePlot.R                |only
 shinyHugePlot-0.1.0/shinyHugePlot/R/shiny_downsampler.R            |  232 ++++--
 shinyHugePlot-0.1.0/shinyHugePlot/R/shiny_hugeplot.R               |  132 ++-
 shinyHugePlot-0.1.0/shinyHugePlot/R/updatePlotlyH.R                |   42 -
 shinyHugePlot-0.1.0/shinyHugePlot/R/utils.R                        |   54 +
 shinyHugePlot-0.1.0/shinyHugePlot/README.md                        |   54 -
 shinyHugePlot-0.1.0/shinyHugePlot/man/abstract_aggregator.Rd       |    2 
 shinyHugePlot-0.1.0/shinyHugePlot/man/abstract_downsampler.Rd      |   76 +-
 shinyHugePlot-0.1.0/shinyHugePlot/man/apply_downsampler.Rd         |   15 
 shinyHugePlot-0.1.0/shinyHugePlot/man/custom_func_aggregator.Rd    |    5 
 shinyHugePlot-0.1.0/shinyHugePlot/man/custom_stat_aggregator.Rd    |   18 
 shinyHugePlot-0.1.0/shinyHugePlot/man/eLTTB_aggregator.Rd          |    3 
 shinyHugePlot-0.1.0/shinyHugePlot/man/generate_matrix.Rd           |only
 shinyHugePlot-0.1.0/shinyHugePlot/man/list_aggregators.Rd          |only
 shinyHugePlot-0.1.0/shinyHugePlot/man/min_max_aggregator.Rd        |    5 
 shinyHugePlot-0.1.0/shinyHugePlot/man/min_max_ovlp_aggregator.Rd   |    4 
 shinyHugePlot-0.1.0/shinyHugePlot/man/nanosecond_to_label.Rd       |    5 
 shinyHugePlot-0.1.0/shinyHugePlot/man/nth_pnt_aggregator.Rd        |    2 
 shinyHugePlot-0.1.0/shinyHugePlot/man/null_aggregator.Rd           |only
 shinyHugePlot-0.1.0/shinyHugePlot/man/numeric_to_label.Rd          |    5 
 shinyHugePlot-0.1.0/shinyHugePlot/man/range_stat_aggregator.Rd     |   28 
 shinyHugePlot-0.1.0/shinyHugePlot/man/shinyHugePlot.Rd             |    2 
 shinyHugePlot-0.1.0/shinyHugePlot/man/shiny_downsampler.Rd         |   47 -
 shinyHugePlot-0.1.0/shinyHugePlot/man/shiny_hugeplot.Rd            |   97 +-
 shinyHugePlot-0.1.0/shinyHugePlot/man/updatePlotlyH.Rd             |   20 
 shinyHugePlot-0.1.0/shinyHugePlot/tests/dash/dash_downsampler.R    |    2 
 shinyHugePlot-0.1.0/shinyHugePlot/tests/manual/test-addtrace.R     |   10 
 shinyHugePlot-0.1.0/shinyHugePlot/tests/manual/test-wrappers.R     |   44 -
 shinyHugePlot-0.1.0/shinyHugePlot/tests/testthat/test-aggregator.R |    2 
 42 files changed, 997 insertions(+), 655 deletions(-)

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

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

2021-03-11 0.1.0

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Package stickr (with last version 0.3.1) was removed from CRAN

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2020-07-03 0.3.1

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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.