Wed, 26 Oct 2022

Package ncmeta updated to version 0.3.5 with previous version 0.3.0 dated 2020-08-27

Title: Straightforward 'NetCDF' Metadata
Description: Extract metadata from 'NetCDF' data sources, these can be files, file handles or servers. This package leverages and extends the lower level functions of the 'RNetCDF' package providing a consistent set of functions that all return data frames. We introduce named concepts of 'grid', 'axis' and 'source' which are all meaningful entities without formal definition in the 'NetCDF' library <https://www.unidata.ucar.edu/software/netcdf/>. 'RNetCDF' matches the library itself with only the named concepts of 'variables', 'dimensions' and 'attributes'.
Author: Michael Sumner [aut, cre], Tomas Remenyi [ctb], Ben Raymond [ctb], David Blodgett [ctb], Milton Woods [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between ncmeta versions 0.3.0 dated 2020-08-27 and 0.3.5 dated 2022-10-26

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Package cld2 updated to version 1.2.4 with previous version 1.2.3 dated 2022-10-01

Title: Google's Compact Language Detector 2
Description: Bindings to Google's C++ library Compact Language Detector 2 (see <https://github.com/cld2owners/cld2#readme> for more information). Probabilistically detects over 80 languages in plain text or HTML. For mixed-language input it returns the top three detected languages and their approximate proportion of the total classified text bytes (e.g. 80% English and 20% French out of 1000 bytes). There is also a 'cld3' package on CRAN which uses a neural network model instead.
Author: Jeroen Ooms [aut, cre] , Dirk Sites [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between cld2 versions 1.2.3 dated 2022-10-01 and 1.2.4 dated 2022-10-26

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Package rugarch updated to version 1.4-9 with previous version 1.4-8 dated 2022-04-19

Title: Univariate GARCH Models
Description: ARFIMA, in-mean, external regressors and various GARCH flavors, with methods for fit, forecast, simulation, inference and plotting.
Author: Alexios Galanos [aut, cre], Tobias Kley [ctb]
Maintainer: Alexios Galanos <alexios@4dscape.com>

Diff between rugarch versions 1.4-8 dated 2022-04-19 and 1.4-9 dated 2022-10-26

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Package meltt updated to version 0.4.3 with previous version 0.4.2 dated 2022-03-09

Title: Matching Event Data by Location, Time and Type
Description: Framework for merging and disambiguating event data based on spatiotemporal co-occurrence and secondary event characteristics. It can account for intrinsic "fuzziness" in the coding of events, varying event taxonomies and different geo-precision codes.
Author: Karsten Donnay and Eric Dunford
Maintainer: Karsten Donnay <kdonnay@gmx.net>

Diff between meltt versions 0.4.2 dated 2022-03-09 and 0.4.3 dated 2022-10-26

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Package LA updated to version 2.2 with previous version 2.1 dated 2022-05-11

Title: Lioness Algorithm (LA)
Description: Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal Latin hypercube designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.
Author: Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]
Maintainer: Hongzhi Wang <wanghongzhi.ut@gmail.com>

Diff between LA versions 2.1 dated 2022-05-11 and 2.2 dated 2022-10-26

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Package HKprocess updated to version 0.1-1 with previous version 0.0-2 dated 2016-01-14

Title: Hurst-Kolmogorov Process
Description: Methods to make inference about the Hurst-Kolmogorov (fractional Gaussian noise, fGn) and the AR(1) process. Related time series trend tests are also included.
Author: Hristos Tyralis [aut, cre]
Maintainer: Hristos Tyralis <montchrister@gmail.com>

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Package glmmML updated to version 1.1.4 with previous version 1.1.3 dated 2022-05-10

Title: Generalized Linear Models with Clustering
Description: Binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.
Author: Goeran Brostroem [aut, cre], Jianming Jin [ctb], Henrik Holmberg [ctb]
Maintainer: Goeran Brostroem <goran.brostrom@umu.se>

Diff between glmmML versions 1.1.3 dated 2022-05-10 and 1.1.4 dated 2022-10-26

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Package fNonlinear updated to version 4021.81 with previous version 4021.80 dated 2022-07-20

Title: Rmetrics - Nonlinear and Chaotic Time Series Modelling
Description: Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Paul Smith [cre]
Maintainer: Paul Smith <paul@waternumbers.co.uk>

Diff between fNonlinear versions 4021.80 dated 2022-07-20 and 4021.81 dated 2022-10-26

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Package fbnet updated to version 1.0.1 with previous version 1.0.0 dated 2022-08-23

Title: Forensic Bayesian Networks
Description: Open-source package for computing likelihood ratios in kinship testing and human identification cases (Chernomoretz et al. (2021) <doi:10.1016/j.fsir.2020.100132>). It has the core function of the software GENis, developed by Fundación Sadosky. It relies on a Bayesian Networks framework and is particularly well suited to efficiently perform large-size queries against databases of missing individuals (Darwiche (2009) <doi:10.1017/CBO9780511811357>).
Author: Ariel Chernomoretz [aut], Franco Marsico [aut, cre]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

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Package CropScapeR updated to version 1.1.4 with previous version 1.1.3 dated 2021-08-10

Title: Access Cropland Data Layer Data via the 'CropScape' Web Service
Description: Interface to easily access Cropland Data Layer (CDL) data for any area of interest via the 'CropScape' <https://nassgeodata.gmu.edu/CropScape/> web service.
Author: Bowen Chen [aut, cre] , Benjamin Gramig [ctb], Taro Mieno [ctb]
Maintainer: Bowen Chen <bwchen0719@gmail.com>

Diff between CropScapeR versions 1.1.3 dated 2021-08-10 and 1.1.4 dated 2022-10-26

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Package bio3d updated to version 2.4-4 with previous version 2.4-3 dated 2022-03-10

Title: Biological Structure Analysis
Description: Utilities to process, organize and explore protein structure, sequence and dynamics data. Features include the ability to read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches, data summaries, atom selection, alignment, superposition, rigid core identification, clustering, torsion analysis, distance matrix analysis, structure and sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics data. In addition, various utility functions are provided to enable the statistical and graphical power of the R environment to work with biological sequence and structural data. Please refer to the URLs below for more information.
Author: Barry Grant [aut, cre], Xin-Qiu Yao [aut], Lars Skjaerven [aut], Julien Ide [aut]
Maintainer: Barry Grant <bjgrant@ucsd.edu>

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Package pollster updated to version 0.1.4 with previous version 0.1.3 dated 2020-08-25

Title: Calculate Crosstab and Topline Tables of Weighted Survey Data
Description: Calculate common types of tables for weighted survey data. Options include topline and (2-way and 3-way) crosstab tables of categorical or ordinal data as well as summary tables of weighted numeric variables. Optionally, include the margin of error at selected confidence intervals including the design effect. The design effect is calculated as described by Kish (1965) <doi:10.1002/bimj.19680100122> beginning on page 257. Output takes the form of tibbles (simple data frames). This package conveniently handles labelled data, such as that commonly used by 'Stata' and 'SPSS.' Complex survey design is not supported at this time.
Author: John D. Johnson [aut, cre]
Maintainer: John D. Johnson <john.d.johnson@marquette.edu>

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Package phase updated to version 1.2.5 with previous version 1.2.3 dated 2022-10-13

Title: Analyse Biological Time-Series Data
Description: Compiles functions to trim, bin, visualise, and analyse activity/sleep time-series data collected from the Drosophila Activity Monitor (DAM) system (Trikinetics, USA). The following methods were used to compute periodograms - Chi-square periodogram: Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram: Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554> and Ruf (1999) <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation: Eijzenbach et al. (1986) <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of activity peaks is done after using a Savitzky-Golay filter (Savitzky and Golay (1964) <doi:10.1021/ac60214a047>) to smooth raw activity data. Three methods to estimate anticipation of activity are used based on the following papers - Slope method: Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>, Harrisingh method: Harrisingh et al. (2007) <doi:10.1523/JNEUROSCI.3680-07.2007&g [...truncated...]
Author: Lakshman Abhilash [aut, cre]
Maintainer: Lakshman Abhilash <labhilash@gc.cuny.edu>

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Package pedbp updated to version 1.0.1 with previous version 1.0.0 dated 2022-07-02

Title: Pediatric Blood Pressure
Description: Data and utilities for estimating pediatric blood pressure percentiles by sex, age, and optionally height (stature) as described in Martin et.al. (2022) <doi:10.1001/jamanetworkopen.2022.36918>. Blood pressure percentiles for children under one year of age come from Gemelli et.al. (1990) <doi:10.1007/BF02171556>. Estimates of blood pressure percentiles for children at least one year of age are informed by data from the National Heart, Lung, and Blood Institute (NHLBI) and the Centers for Disease Control and Prevention (CDC) <doi:10.1542/peds.2009-2107C> or from Lo et.al. (2013) <doi:10.1542/peds.2012-1292>. The flowchart for selecting the informing data source comes from Martin et.al. (2022) <doi:10.1542/hpeds.2021-005998>.
Author: Peter DeWitt [aut, cre] , Blake Martin [ctb] , David Albers [ctb] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package kit updated to version 0.0.12 with previous version 0.0.11 dated 2022-03-27

Title: Data Manipulation Functions Implemented in C
Description: Basic functions, implemented in C, for large data manipulation. Fast vectorised ifelse()/nested if()/switch() functions, psum()/pprod() functions equivalent to pmin()/pmax() plus others which are missing from base R. Most of these functions are callable at C level.
Author: Morgan Jacob [aut, cre, cph], Sebastian Krantz [ctb]
Maintainer: Morgan Jacob <morgan.emailbox@gmail.com>

Diff between kit versions 0.0.11 dated 2022-03-27 and 0.0.12 dated 2022-10-26

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Package bayefdr updated to version 0.2.1 with previous version 0.2.0 dated 2021-09-29

Title: Bayesian Estimation and Optimisation of Expected False Discovery Rate
Description: Implements the Bayesian FDR control described by Newton et al. (2004), <doi:10.1093/biostatistics/5.2.155>. Allows optimisation and visualisation of expected error rates based on tail posterior probability tests. Based on code written by Catalina Vallejos for BASiCS, see Beyond comparisons of means: understanding changes in gene expression at the single-cell level Vallejos et al. (2016) <doi:10.1186/s13059-016-0930-3>.
Author: Alan O'Callaghan [aut, cre], Catalina Vallejos [aut]
Maintainer: Alan O'Callaghan <alan.ocallaghan@outlook.com>

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

Title: Fractional Weighted Bootstrap
Description: An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package espadon updated to version 1.1.1 with previous version 1.0.5 dated 2022-07-16

Title: Easy Study of Patient DICOM Data in Oncology
Description: Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.
Author: Cathy Fontbonne [aut, cre] , Jean-Marc Fontbonne [aut] , Nathan Azemar [ctb]
Maintainer: Cathy Fontbonne <contact.espadon@lpccaen.in2p3.fr>

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Package ps updated to version 1.7.2 with previous version 1.7.1 dated 2022-06-18

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package pingr updated to version 2.0.2 with previous version 2.0.1 dated 2020-06-22

Title: Check if a Remote Computer is Up
Description: Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port.
Author: Gabor Csardi [aut, cre]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package yamlet updated to version 0.9.8 with previous version 0.9.6 dated 2022-09-20

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate.data.frame and ?modify.default. See ?read_yamlet ?write_yamlet, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package SpatialKDE updated to version 0.8.0 with previous version 0.7.0 dated 2022-02-09

Title: Kernel Density Estimation for Spatial Data
Description: Calculate Kernel Density Estimation (KDE) for spatial data. The algorithm is inspired by the tool 'Heatmap' from 'QGIS'. The method is described by: Hart, T., Zandbergen, P. (2014) <doi:10.1108/PIJPSM-04-2013-0039>, Nelson, T. A., Boots, B. (2008) <doi:10.1111/j.0906-7590.2008.05548.x>, Chainey, S., Tompson, L., Uhlig, S.(2008) <doi:10.1057/palgrave.sj.8350066>.
Author: Jan Caha [aut, cre]
Maintainer: Jan Caha <jan.caha@outlook.com>

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Package rCNV updated to version 1.1.0 with previous version 1.0.0 dated 2022-04-06

Title: Detect Copy Number Variants from SNPs Data
Description: Functions in this package will import filtered variant call format (VCF) files of SNPs data and generate data sets to detect copy number variants, visualize them and do downstream analyses with copy number variants(e.g. Environmental association analyses).
Author: Piyal Karunarathne [aut, cre] , Qiujie Zhou [aut] , Klaus Schliep [aut] , Pascal Milesi [aut]
Maintainer: Piyal Karunarathne <piyalkarumail@yahoo.com>

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Package latrend updated to version 1.4.3 with previous version 1.4.2 dated 2022-08-15

Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
Author: Niek Den Teuling [aut, cre] , Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>

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Package ympes updated to version 0.2.0 with previous version 0.1.1 dated 2022-08-09

Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include minimal assertion functions with a focus on informative error messaging for both missing and incorrect function arguments as well as other functions for visualising colour palettes, quoting user input and working with age intervals.
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package GMDH2 updated to version 1.8 with previous version 1.7 dated 2022-09-06

Title: Binary Classification via GMDH-Type Neural Network Algorithms
Description: Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response (Dag et al., 2019, <https://download.atlantis-press.com/article/125911202.pdf>).
Author: Osman Dag [aut, cre], Erdem Karabulut [aut], Reha Alpar [aut], Merve Kasikci [ctb]
Maintainer: Osman Dag <osman.dag@outlook.com>

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Package cfid updated to version 0.1.4 with previous version 0.1.2 dated 2021-06-10

Title: Identification of Counterfactual Queries in Causal Models
Description: Facilitates the identification of counterfactual queries in structural causal models via the ID* and IDC* algorithms by Shpitser, I. and Pearl, J. (2007, 2008) <arXiv:1206.5294>, <https://jmlr.org/papers/v9/shpitser08a.html>. Provides a simple interface for defining causal diagrams and counterfactual conjunctions. Construction of parallel worlds graphs and counterfactual graphs is carried out automatically based on the counterfactual query and the causal diagram.
Author: Santtu Tikka [aut, cre]
Maintainer: Santtu Tikka <santtuth@gmail.com>

Diff between cfid versions 0.1.2 dated 2021-06-10 and 0.1.4 dated 2022-10-26

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More information about cfid at CRAN
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Package BGVAR updated to version 2.5.2 with previous version 2.5.1 dated 2022-09-02

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available. The package has a companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R", Journal of Statistical Software, Vol. 104(9), pp. 1-28 <doi:10.18 [...truncated...]
Author: Maximilian Boeck [aut, cre] , Martin Feldkircher [aut] , Florian Huber [aut] , Darjus Hosszejni [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@da-vienna.ac.at>

Diff between BGVAR versions 2.5.1 dated 2022-09-02 and 2.5.2 dated 2022-10-26

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Package pkgcache updated to version 2.0.3 with previous version 2.0.2 dated 2022-09-08

Title: Cache 'CRAN'-Like Metadata and R Packages
Description: Metadata and package cache for CRAN-like repositories. This is a utility package to be used by package management tools that want to take advantage of caching.
Author: Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pkgcache versions 2.0.2 dated 2022-09-08 and 2.0.3 dated 2022-10-26

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Permanent link

Package keypress updated to version 1.3.0 with previous version 1.2.0 dated 2020-01-10

Title: Wait for a Key Press in a Terminal
Description: Wait for a single key press at the 'R' prompt. This works in terminals, but does not currently work in the 'Windows' 'GUI', the 'OS X' 'GUI' ('R.app'), in 'Emacs' 'ESS', in an 'Emacs' shell buffer or in 'R Studio'. In these cases 'keypress' stops with an error message.
Author: Gabor Csardi [aut, cre], Jon Griffiths [aut]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between keypress versions 1.2.0 dated 2020-01-10 and 1.3.0 dated 2022-10-26

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Package regtomean updated to version 1.1 with previous version 1.0 dated 2021-01-29

Title: Regression Toward the Mean
Description: In repeated measures studies with extreme large or small values it is common that the subjects measurements on average are closer to the mean of the basic population. Interpreting possible changes in the mean in such situations can lead to biased results since the values were not randomly selected, they come from truncated sampling. This method allows to estimate the range of means where treatment effects are likely to occur when regression toward the mean is present. Ostermann, T., Willich, Stefan N. & Luedtke, Rainer. (2008). Regression toward the mean - a detection method for unknown population mean based on Mee and Chua's algorithm. BMC Medical Research Methodology.<doi:10.1186/1471-2288-8-52>.
Author: Daniela Recchia [aut, cre], Thomas Ostermann [ctb]
Maintainer: Daniela Recchia <daniela.rodriguesrecchia@uni-wh.de>

Diff between regtomean versions 1.0 dated 2021-01-29 and 1.1 dated 2022-10-26

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Package cleancall updated to version 0.1.3 with previous version 0.1.2 dated 2022-03-10

Title: C Resource Cleanup via Exit Handlers
Description: Wrapper of .Call() that runs exit handlers to clean up C resources. Helps managing C (non-R) resources while using the R API.
Author: Lionel Henry [aut], Gabor Csardi [aut, cre] , RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between cleancall versions 0.1.2 dated 2022-03-10 and 0.1.3 dated 2022-10-26

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Package asciicast updated to version 2.2.0 with previous version 2.1.0 dated 2022-08-07

Title: Create 'Ascii' Screen Casts from R Scripts
Description: Record 'asciicast' screen casts from R scripts. Convert them to animated SVG images, to be used in 'README' files, or blog posts. Includes 'asciinema-player' as an 'HTML' widget, and an 'asciicast' 'knitr' engine, to embed 'ascii' screen casts in 'Rmarkdown' documents.
Author: Gabor Csardi [aut, cre], Romain Francois [aut], Mario Nebl [aut] , Marcin Kulik [aut]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between asciicast versions 2.1.0 dated 2022-08-07 and 2.2.0 dated 2022-10-26

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Permanent link

Package arrow updated to version 10.0.0 with previous version 9.0.0.2 dated 2022-10-01

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut, cre], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Javier Luraschi [ctb], Karl Dunkle Werner [ctb] , Jeffrey Wong [ctb [...truncated...]
Maintainer: Neal Richardson <neal@ursalabs.org>

Diff between arrow versions 9.0.0.2 dated 2022-10-01 and 10.0.0 dated 2022-10-26

 arrow-10.0.0/arrow/DESCRIPTION                                                                 |   38 
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 arrow-10.0.0/arrow/tools/cpp/src/arrow/csv/parser.h                                            |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/csv/parser_benchmark.cc                                 |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/csv/reader.cc                                           |   22 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/csv/test_common.cc                                      |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/csv/writer.cc                                           |  139 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/ArrowDatasetConfig.cmake.in                     |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/CMakeLists.txt                                  |   37 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/api.h                                           |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/dataset.cc                                      |  225 -
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/dataset.h                                       |  217 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/dataset_writer.cc                               |  279 -
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/dataset_writer.h                                |    7 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/discovery.cc                                    |   11 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/discovery.h                                     |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_base.cc                                    |  102 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_base.h                                     |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_csv.cc                                     |   41 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_csv.h                                      |   15 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_ipc.cc                                     |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_ipc.h                                      |    5 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_orc.cc                                     |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_orc.h                                      |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_parquet.cc                                 |   24 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/file_parquet.h                                  |   15 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/partition.cc                                    |   36 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/partition.h                                     |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/plan.cc                                         |    1 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/scan_node.cc                                    |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/scanner.cc                                      |  148 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/scanner.h                                       |  138 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/scanner_benchmark.cc                            |  173 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/test_util.h                                     |   42 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/dataset/type_fwd.h                                      |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/datum.cc                                                |   35 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/datum.h                                                 |   22 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/device.h                                                |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/ArrowSubstraitConfig.cmake.in                    |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/CMakeLists.txt                                   |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/simple_extension_type_internal.h                 |   26 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/expression_internal.cc                 |  344 +
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/expression_internal.h                  |   17 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/extension_set.cc                       |  902 +++-
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/extension_set.h                        |  309 +
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/extension_types.cc                     |   21 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/extension_types.h                      |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/options.h                              |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/plan_internal.cc                       |   56 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/plan_internal.h                        |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/relation_internal.cc                   |  621 ++
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/relation_internal.h                    |   17 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/serde.cc                               |  159 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/serde.h                                |  114 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/test_plan_builder.cc                   |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/test_plan_builder.h                    |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/type_fwd.h                             |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/type_internal.cc                       |   84 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/type_internal.h                        |   11 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/util.cc                                |   44 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/engine/substrait/util.h                                 |   27 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/CMakeLists.txt                               |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/filesystem.cc                                |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/gcsfs.cc                                     |   44 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/gcsfs.h                                      |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/gcsfs_internal.cc                            |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/gcsfs_internal.h                             |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/localfs.cc                                   |  246 +
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/localfs.h                                    |   20 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/localfs_benchmark.cc                         |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/mockfs.cc                                    |   26 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/mockfs.h                                     |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/path_util.cc                                 |   49 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/path_util.h                                  |   32 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/s3_internal.h                                |  119 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/s3_test_util.cc                              |   12 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/s3fs.cc                                      |  133 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/s3fs.h                                       |   19 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/s3fs_benchmark.cc                            |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/test_util.cc                                 |   26 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/type_fwd.h                                   |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/util_internal.cc                             |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/filesystem/util_internal.h                              |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/ArrowFlightConfig.cmake.in                       |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/ArrowFlightTestingConfig.cmake.in                |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/CMakeLists.txt                                   |   64 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/api.h                                            |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/client.cc                                        |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/client.h                                         |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/client_cookie_middleware.cc                      |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/client_tracing_middleware.cc                     |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/client_tracing_middleware.h                      |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/cookie_internal.cc                               |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/cookie_internal.h                                |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/integration_tests/CMakeLists.txt                 |   11 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/integration_tests/test_integration.cc            |  982 +++-
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/integration_tests/test_integration_server.cc     |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/middleware.cc                                    |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/middleware.h                                     |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/perf_server.cc                                   |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/serialization_internal.h                         |    1 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/server.cc                                        |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/server_tracing_middleware.cc                     |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/server_tracing_middleware.h                      |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/ArrowFlightSqlConfig.cmake.in                |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/CMakeLists.txt                               |   31 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/client.cc                                    |  553 ++
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/client.h                                     |  233 -
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/column_metadata.cc                           |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/column_metadata.h                            |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/acero_main.cc                        |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/acero_server.cc                      |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/acero_server.h                       |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/sqlite_server.cc                     |  230 -
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/sqlite_server.h                      |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/sqlite_sql_info.cc                   |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/sqlite_statement.cc                  |    1 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/example/sqlite_tables_schema_batch_reader.cc |    3 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/server.cc                                    |  508 +-
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/server.h                                     |  208 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/test_app_cli.cc                              |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/sql/types.h                                      |   90 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/test_definitions.cc                              |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/test_util.cc                                     |   24 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/test_util.h                                      |    3 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport.cc                                     |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport.h                                      |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/grpc/grpc_client.cc                    |   52 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/grpc/grpc_server.cc                    |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/grpc/util_internal.cc                  |   20 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/ucx/CMakeLists.txt                     |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/ucx/ucx_client.cc                      |   14 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/ucx/ucx_internal.cc                    |   23 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/ucx/ucx_internal.h                     |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/ucx/ucx_server.cc                      |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/transport/ucx/util_internal.cc                   |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/types.cc                                         |  203 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/flight/types.h                                          |   94 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/gpu/ArrowCUDAConfig.cmake.in                            |   21 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/gpu/CMakeLists.txt                                      |    5 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/gpu/cuda_context.cc                                     |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/gpu/cuda_context.h                                      |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/gpu/cuda_internal.h                                     |    1 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/gpu/cuda_memory.h                                       |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/CMakeLists.txt                                       |    3 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/buffered.cc                                          |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/buffered.h                                           |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/concurrency.h                                        |   12 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/file.cc                                              |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/hdfs.h                                               |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/hdfs_internal.h                                      |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/interfaces.cc                                        |   14 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/interfaces.h                                         |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/memory.cc                                            |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/memory.h                                             |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/slow.cc                                              |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/slow.h                                               |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/io/type_fwd.h                                           |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/ipc/CMakeLists.txt                                      |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/ipc/feather.cc                                          |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/ipc/json_simple.cc                                      |   26 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/ipc/json_simple.h                                       |   15 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/ipc/message.cc                                          |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/ipc/reader.cc                                           |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/ipc/writer.cc                                           |   31 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/chunker.cc                                         |   12 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/converter.cc                                       |   28 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/object_parser.cc                                   |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/object_parser.h                                    |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/object_writer.cc                                   |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/object_writer.h                                    |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/parser.cc                                          |   73 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/parser.h                                           |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/reader.cc                                          |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/json/test_common.h                                      |   22 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/memory_pool.cc                                          |   35 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/memory_pool.h                                           |   33 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/memory_pool_jemalloc.cc                                 |   66 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/pretty_print.cc                                         |   12 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/record_batch.cc                                         |   14 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/record_batch.h                                          |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/result.h                                                |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/scalar.cc                                               |   28 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/scalar.h                                                |   26 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/status.h                                                |   44 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/stl.h                                                   |   18 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/stl_iterator.h                                          |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/table.cc                                                |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/testing/extension_type.h                                |   28 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/testing/gtest_util.cc                                   |  131 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/testing/gtest_util.h                                    |   55 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/testing/json_internal.cc                                |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/testing/matchers.h                                      |   18 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/testing/util.cc                                         |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/testing/util.h                                          |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/type.cc                                                 |  104 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/type.h                                                  |   66 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/type_fwd.h                                              |   47 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/type_traits.h                                           |  455 +-
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/CMakeLists.txt                                     |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/aligned_storage.h                                  |   23 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/async_generator.h                                  |   53 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/async_generator_fwd.h                              |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/async_util.cc                                      |  548 +-
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/async_util.h                                       |  438 +
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/base64.h                                           |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/basic_decimal.h                                    |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/bit_stream_utils.h                                 |   12 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/bit_util_benchmark.cc                              |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/bitmap.h                                           |    5 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/bitmap_reader.h                                    |    1 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/bitset_stack.h                                     |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/bpacking.cc                                        |    9 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/byte_size.h                                        |   22 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/bytes_view.h                                       |only
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/cancel.cc                                          |   11 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/compression_brotli.cc                              |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/compression_bz2.cc                                 |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/compression_lz4.cc                                 |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/compression_snappy.cc                              |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/compression_zlib.cc                                |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/compression_zstd.cc                                |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/config.h.cmake                                     |    5 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/converter.h                                        |    6 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/cpu_info.cc                                        |   49 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/decimal.cc                                         |   42 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/decimal.h                                          |   25 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/delimiting.cc                                      |   30 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/delimiting.h                                       |   10 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/endian.h                                           |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/formatting.h                                       |   14 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/future.cc                                          |   27 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/future.h                                           |   14 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/hashing.h                                          |   24 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/int_util.cc                                        |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/io_util.cc                                         |    4 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/iterator.h                                         |   18 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/key_value_metadata.h                               |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/launder.h                                          |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/macros.h                                           |   38 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/reflection_internal.h                              |   38 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/small_vector.h                                     |    8 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/string.cc                                          |   41 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/string.h                                           |   42 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/string_builder.cc                                  |    7 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/task_group.cc                                      |   34 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/thread_pool.cc                                     |   16 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/thread_pool.h                                      |    2 
 arrow-10.0.0/arrow/tools/cpp/src/arrow/util/tracing.cc                                         |    8 
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Package simPop updated to version 2.1.1 with previous version 2.1.0 dated 2022-10-10

Title: Simulation of Complex Synthetic Data Information
Description: Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms, see Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v079.i10>) and Templ (2017) <doi:10.1007/978-3-319-50272-4>. The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.
Author: Matthias Templ [aut, cre], Alexander Kowarik [aut] , Bernhard Meindl [aut], Andreas Alfons [aut], Mathieu Ribatet [ctb], Johannes Gussenbauer [ctb], Siro Fritzmann [ctb]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package sdcMicro updated to version 5.7.4 with previous version 5.7.3 dated 2022-10-05

Title: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Description: Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.
Author: Matthias Templ [aut, cre] , Bernhard Meindl [aut], Alexander Kowarik [aut] , Johannes Gussenbauer [aut], Organisation For Economic Co-Operation And Development [cph] code code for rank swapping, mdav-microaggregation, suda2 and other risk measures [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package spTimer updated to version 3.3.2 with previous version 3.3.1 dated 2020-06-02

Title: Spatio-Temporal Bayesian Modelling
Description: Fits, spatially predicts and temporally forecasts large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.
Author: K. Shuvo Bakar & Sujit K. Sahu
Maintainer: K. Shuvo Bakar <shuvo.bakar@gmail.com>

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Package processx updated to version 3.8.0 with previous version 3.7.0 dated 2022-07-07

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package HYPEtools updated to version 1.1.0 with previous version 1.0.0 dated 2022-09-05

Title: Tools for Processing and Analysing Files from the Hydrological Catchment Model HYPE
Description: Work with model files (setup, input, output) from the hydrological catchment model HYPE: Streamlined file import and export, standard evaluation plot routines, diverse post-processing and aggregation routines for hydrological model analysis.
Author: Rene Capell [aut, cre], Conrad Brendel [aut], Jafet Andersson [ctb], David Gustafsson [ctb], Jude Musuuza [ctb], Jude Lubega [ctb]
Maintainer: Rene Capell <rene.capell@smhi.se>

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Package highfrequency updated to version 1.0.0 with previous version 0.9.5 dated 2022-08-17

Title: Tools for Highfrequency Data Analysis
Description: Provide functionality to manage, clean and match highfrequency trades and quotes data, calculate various liquidity measures, estimate and forecast volatility, detect price jumps and investigate microstructure noise and intraday periodicity. A detailed vignette can be found in the paper "Analyzing Intraday Financial Data in R: The highfrequency Package" by Boudt, Kleen, and Sjoerup (2022, <doi:10.18637/jss.v104.i08>). The DOI in the CITATION is for a new Journal of Statistical Software publication that will be registered after publication on CRAN. A working paper version can be found on SSRN: <doi:10.2139/ssrn.3917548>.
Author: Kris Boudt [aut, cre] , Jonathan Cornelissen [aut], Scott Payseur [aut], Giang Nguyen [ctb], Onno Kleen [aut] , Emil Sjoerup [aut]
Maintainer: Kris Boudt <kris.boudt@ugent.be>

Diff between highfrequency versions 0.9.5 dated 2022-08-17 and 1.0.0 dated 2022-10-26

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Package biogeom updated to version 1.2.1 with previous version 1.2.0 dated 2022-10-20

Title: Biological Geometries
Description: Is used to simulate and fit biological geometries. 'biogeom' incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. 'biogeom' includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. [...truncated...]
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

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Package Bayesrel updated to version 0.7.4.4 with previous version 0.7.4.3 dated 2022-08-10

Title: Bayesian Reliability Estimation
Description: Functionality for reliability estimates. For 'unidimensional' tests: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version. For multidimensional tests: omega_t (total) and omega_h (hierarchical). The results include confidence and credible intervals, the probability of a coefficient being larger than a cutoff, and a check for the factor models, necessary for the omega coefficients. The method for the Bayesian 'unidimensional' estimates, except for omega_u, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, <https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>. The Bayesian omegas (u, t, and h) are obtained by 'Gibbs' sampling from the conditional posterior distributions of (1) the single factor model and (2) the second-order factor model ('Lee', 2007, <https://onlinelibrary.wiley.com/doi/book/10.1002/9 [...truncated...]
Author: Julius M. Pfadt [aut, cre] , Don van den Bergh [aut] , Joris Goosen [aut]
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>

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Package zip updated to version 2.2.2 with previous version 2.2.1 dated 2022-09-08

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gabor Csardi, Kuba Podgorski, Rich Geldreich
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between zip versions 2.2.1 dated 2022-09-08 and 2.2.2 dated 2022-10-26

 DESCRIPTION |    6 +-
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More information about zip at CRAN
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Package synthACS updated to version 1.7.1 with previous version 1.7.0 dated 2022-08-18

Title: Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data
Description: Provides access to curated American Community Survey (ACS) base tables via a wrapper to library(acs). Builds synthetic micro-datasets at any user-specified geographic level with ten default attributes; and, conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default. Lastly, we provide functionality for data-extensibility of micro-datasets <doi:10.18637/jss.v104.i07>.
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex@gmail.com>

Diff between synthACS versions 1.7.0 dated 2022-08-18 and 1.7.1 dated 2022-10-26

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More information about synthACS at CRAN
Permanent link

Package StratifiedSampling updated to version 0.4.1 with previous version 0.4.0 dated 2022-10-21

Title: Different Methods for Stratified Sampling
Description: Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <arXiv:2105.08379>.
Author: Raphael Jauslin [aut, cre] , Esther Eustache [aut], Bardia Panahbehagh [aut] , Yves Tille [aut]
Maintainer: Raphael Jauslin <raphael.jauslin@unine.ch>

Diff between StratifiedSampling versions 0.4.0 dated 2022-10-21 and 0.4.1 dated 2022-10-26

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Package R2sample updated to version 1.0.0 with previous version 0.0.1 dated 2022-10-12

Title: Two Sample Problem Routines using Permutation
Description: The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

Diff between R2sample versions 0.0.1 dated 2022-10-12 and 1.0.0 dated 2022-10-26

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More information about R2sample at CRAN
Permanent link

Package pbdSLAP updated to version 0.3-3 with previous version 0.3-2 dated 2022-02-04

Title: Programming with Big Data -- Scalable Linear Algebra Packages
Description: Utilizing scalable linear algebra packages mainly including 'BLACS', 'PBLAS', and 'ScaLAPACK' in double precision via 'pbdMPI' based on 'ScaLAPACK' version 2.0.2.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], Brian Ripley [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdSLAP versions 0.3-2 dated 2022-02-04 and 0.3-3 dated 2022-10-26

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More information about pbdSLAP at CRAN
Permanent link

Package hgm updated to version 1.22 with previous version 1.20 dated 2022-04-07

Title: Holonomic Gradient Method and Gradient Descent
Description: The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization constants of unnormalized probability distributions by utilizing holonomic systems of differential or difference equations. The holonomic gradient descent (HGD, hgd) gives a method to find maximal likelihood estimates by utilizing the HGM.
Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama
Maintainer: Nobuki Takayama <takayama@math.kobe-u.ac.jp>

Diff between hgm versions 1.20 dated 2022-04-07 and 1.22 dated 2022-10-26

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Package deaR updated to version 1.3.1 with previous version 1.3 dated 2022-10-07

Title: Conventional and Fuzzy Data Envelopment Analysis
Description: Set of functions for Data Envelopment Analysis. It runs both classic and fuzzy DEA models.See: Banker, R.; Charnes, A.; Cooper, W.W. (1984). <doi:10.1287/mnsc.30.9.1078>, Charnes, A.; Cooper, W.W.; Rhodes, E. (1978). <doi:10.1016/0377-2217(78)90138-8> and Charnes, A.; Cooper, W.W.; Rhodes, E. (1981). <doi:10.1287/mnsc.27.6.668>.
Author: Vicente Coll-Serrano, Vicente Bolos, Rafael Benitez Suarez <rabesua@uv.es>
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

Diff between deaR versions 1.3 dated 2022-10-07 and 1.3.1 dated 2022-10-26

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Package CSTools updated to version 4.1.0 with previous version 4.0.1 dated 2021-10-05

Title: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales
Description: Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the ERA4CS project MEDSCOPE and the H2020 S2S4E project. Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>. Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>. Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>. Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>. Straus et al. (2007) <doi:10.1175/JCLI4070.1>. Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>. Torralba et al. (2017) <doi:10.1175/JAMC-D-16-0204.1>. D'Onofrio et al. (2014) <doi:10.1175/JHM-D-13-096.1>. Verfaillie et al. (2017) & [...truncated...]
Author: Nuria Perez-Zanon [aut] , Louis-Philippe Caron [aut] , Carmen Alvarez-Castro [aut] , Lauriane Batte [aut], Carlos Delgado [aut], Jost von Hardenberg [aut] , Llorenc LLedo [aut], Nicolau Manubens [aut], Lluis Palma [aut], Eroteida Sanchez-Garcia [aut] [...truncated...]
Maintainer: Eva Rifa <eva.rifarovira@bsc.es>

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Package BayesLN updated to version 0.2.8 with previous version 0.2.6 dated 2022-05-02

Title: Bayesian Inference for Log-Normal Data
Description: Bayesian inference under log-normality assumption must be performed very carefully. In fact, under the common priors for the variance, useful quantities in the original data scale (like mean and quantiles) do not have posterior moments that are finite (Fabrizi et al. 2012 <doi:10.1214/12-BA733>). This package allows to easily carry out a proper Bayesian inferential procedure by fixing a suitable distribution (the generalized inverse Gaussian) as prior for the variance. Functions to estimate several kind of means (unconditional, conditional and conditional under a mixed model) and quantiles (unconditional and conditional) are provided.
Author: Aldo Gardini [aut, cre] , Enrico Fabrizi [aut] , Carlo Trivisano [aut]
Maintainer: Aldo Gardini <aldo.gardini2@unibo.it>

Diff between BayesLN versions 0.2.6 dated 2022-05-02 and 0.2.8 dated 2022-10-26

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Package pkgsearch updated to version 3.1.2 with previous version 3.1.1 dated 2022-07-16

Title: Search and Query CRAN R Packages
Description: Search CRAN metadata about packages by keyword, popularity, recent activity, package name and more. Uses the 'R-hub' search server, see <https://r-pkg.org> and the CRAN metadata database, that contains information about CRAN packages. Note that this is _not_ a CRAN project.
Author: Gabor Csardi [aut, cre], Maelle Salmon [aut] , R Consortium [fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pkgsearch versions 3.1.1 dated 2022-07-16 and 3.1.2 dated 2022-10-26

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Package shinyHugePlot updated to version 0.2.0 with previous version 0.1.0 dated 2022-09-22

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>

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Package mlmtools updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-30

Title: Multi-Level Model Assessment Kit
Description: Multilevel models (mixed effects models) are the statistical tool of choice for analyzing multilevel data (Searle et al, 2009). These models account for the correlated nature of observations within higher level units by adding group-level error terms that augment the singular residual error of a standard OLS regression. Multilevel and mixed effects models often require specialized data pre-processing and further post-estimation derivations and graphics to gain insight into model results. The package presented here, 'mlmtools', is a suite of pre- and post-estimation tools for multilevel models in 'R'. Package implements post-estimation tools designed to work with models estimated using 'lme4''s (Bates et al., 2014) lmer() function, which fits linear mixed effects regression models. Searle, S. R., Casella, G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014) <doi:10.18637/jss.v067.i01>.
Author: Laura Jamison [aut, cre], Jessica Mazen [aut], Erik Ruzek [aut], Gus Sjobeck [ctb]
Maintainer: Laura Jamison <lj5yn@virginia.edu>

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Package hockeyR (with last version 1.3.0) was removed from CRAN

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

2022-10-12 1.3.0
2022-09-18 1.2.0
2022-08-22 1.0.0

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

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

2021-10-25 1.0.0

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