Sun, 21 Feb 2021

Package PerFit updated to version 1.4.5 with previous version 1.4.4 dated 2021-01-16

Title: Person Fit
Description: Several person-fit statistics (PFSs; Meijer and Sijtsma, 2001, <doi:10.1177/01466210122031957>) are offered. These statistics allow assessing whether individual response patterns to tests or questionnaires are (im)plausible given the other respondents in the sample or given a specified item response theory model. Some PFSs apply to dichotomous data, such as the likelihood-based PFSs (lz, lz*) and the group-based PFSs (personal biserial correlation, caution index, (normed) number of Guttman errors, agreement/disagreement/dependability statistics, U3, ZU3, NCI, Ht). PFSs suitable to polytomous data include extensions of lz, U3, and (normed) number of Guttman errors.
Author: Jorge N. Tendeiro
Maintainer: Jorge N. Tendeiro <tendeiro@hiroshima-u.ac.jp>

Diff between PerFit versions 1.4.4 dated 2021-01-16 and 1.4.5 dated 2021-02-21

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More information about PerFit at CRAN
Permanent link

Package tablet updated to version 0.2.6 with previous version 0.2.1 dated 2021-02-06

Title: Tabulate Descriptive Statistics in Multiple Formats
Description: Creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for 'html' and 'pdf' provided by 'kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between tablet versions 0.2.1 dated 2021-02-06 and 0.2.6 dated 2021-02-21

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More information about tablet at CRAN
Permanent link

Package parameters updated to version 0.12.0 with previous version 0.11.0 dated 2021-01-15

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Søren Højsgaard [aut], Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-1995-6531>, @vincentab)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between parameters versions 0.11.0 dated 2021-01-15 and 0.12.0 dated 2021-02-21

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More information about parameters at CRAN
Permanent link

Package ouch updated to version 2.15-1 with previous version 2.14-1 dated 2019-05-02

Title: Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.
Author: Aaron A. King [aut, cre], Marguerite A. Butler [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package glmnet updated to version 4.1-1 with previous version 4.1 dated 2021-01-11

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression, Cox model, multiple-response Gaussian, and the grouped multinomial regression. There are two new and important additions. The family argument can be a GLM family object, which opens the door to any programmed family. This comes with a modest computational cost, so when the built-in families suffice, they should be used instead. The other novelty is the relax option, which refits each of the active sets in the path unpenalized. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers listed in the URL below.
Author: Jerome Friedman [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut], Kenneth Tay [aut], Noah Simon [aut], Junyang Qian [ctb]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package GGUM updated to version 0.4-2 with previous version 0.4-1 dated 2020-05-18

Title: Generalized Graded Unfolding Model
Description: An implementation of the generalized graded unfolding model (GGUM) in R, see Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>). It allows to simulate data sets based on the GGUM. It fits the GGUM and the GUM, and it retrieves item and person parameter estimates. Several plotting functions are available (item and test information functions; item and test characteristic curves; item category response curves). Additionally, there are some functions that facilitate the communication between R and 'GGUM2004'. Finally, a model-fit checking utility, MODFIT(), is also available.
Author: Jorge N. Tendeiro [aut, cre], Sebastian Castro-Alvarez [aut]
Maintainer: Jorge N. Tendeiro <tendeiro@hiroshima-u.ac.jp>

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Package FER updated to version 0.93 with previous version 0.91 dated 2021-02-19

Title: Financial Engineering in R (FER)
Description: R implementations of standard financial engineering codes; vanilla option pricing models such as Black-Scholes, Bachelier, CEV, and SABR.
Author: Jaehyuk Choi [aut, cre]
Maintainer: Jaehyuk Choi <pyfe@eml.cc>

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Package broomExtra updated to version 4.2.1 with previous version 4.2.0 dated 2021-02-19

Title: Enhancements for 'broom' and 'easystats' Package Families
Description: Provides helper functions that assist in data analysis workflows involving regression analyses. The goal is to combine the functionality offered by different set of packages ('broom', 'broom.mixed', 'parameters', and 'performance') through a common syntax to return tidy dataframes containing model parameters and performance measure summaries. The 'grouped_' variants of the generics provides a convenient way to execute functions across a combination of grouping variable(s) in a dataframe.
Author: Indrajeet Patil [aut, cre, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package tiledb updated to version 0.9.0 with previous version 0.8.2 dated 2020-10-16

Title: Sparse and Dense Multidimensional Array Storage Engine for Data Science
Description: The data science storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
Author: TileDB, Inc.
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

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More information about tiledb at CRAN
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New package Rfmtool with initial version 4.1.0
Package: Rfmtool
Type: Package
Version: 4.1.0
Date: 2021-02-16
Title: Fuzzy Measure Tools
Authors@R: c(person("Gleb", "Beliakov", role = c("aut", "cre"), email = "gleb@deakin.edu.au"), person("Quan", "Vu", role = "ctb"), person("Andrei", "Kelarev", role = "ctb"), person("Michel", "Berkelaar", role = "ctb"), person("Kjell", "Eikland", role = "ctb"), person("Samuel E.", "Buttrey", role = "ctb"), person("Stefan I.", "Larimore", role = "ctb"), person("Timothy A.", "Davis", role = "ctb"), person("John", "Gilbert", role = "ctb"), person("Esmond", "Ng", role = "ctb") , person("Peter", "Notebaert", role = "ctb") , person("Richard", "Stallman", role = "ctb") , person("Jeroen", "Dirks", role = "ctb"), person("Daniela L.", "Calderon", role = "ctb") )
Author: Gleb Beliakov [aut, cre], Quan Vu [ctb], Andrei Kelarev [ctb], Michel Berkelaar [ctb], Kjell Eikland [ctb], Samuel E. Buttrey [ctb], Stefan I. Larimore [ctb], Timothy A. Davis [ctb], John Gilbert [ctb], Esmond Ng [ctb], Peter Notebaert [ctb], Richard Stallman [ctb], Jeroen Dirks [ctb], Daniela L. Calderon [ctb]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>
Depends: R (>= 2.9.2)
LinkingTo:
Suggests:
Description: Various tools for handling fuzzy measures, calculating Shapley value and interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package. Please refer to the following: [1] <https://personal-sites.deakin.edu.au/~gleb/fmtools.html> [2] G. Beliakov, H. Bustince, T. Calvo, 'A Practical Guide to Averaging', Springer, (2016, ISBN: 978-3-319-24753-3). [3] G. Beliakov, S. James, J-Z. Wu, 'Discrete Fuzzy Measures', Springer, (2020, ISBN: 978-3-030-15305-2).
License: LGPL-3
NeedsCompilation: yes
Copyright: Gleb Beliakov. The 'lpsolve' library and its parts are copyright to various holders, including Kjell Eikland, Michel Berkelaar, University of Florida, National Institute of Standards and Technology, Free Software Foundation, Inc.
Packaged: 2021-02-16 03:56:19 UTC; gleb
Repository: CRAN
Date/Publication: 2021-02-21 17:00:09 UTC

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New package qrcmNP with initial version 0.2.0
Package: qrcmNP
Type: Package
Title: Nonlinear and Penalized Quantile Regression Coefficients Modeling
Version: 0.2.0
Author: Gianluca Sottile [aut, cre]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
Description: Nonlinear and Penalized parametric modeling of quantile regression coefficient functions. Sottile G, Frumento P, Chiodi M and Bottai M (2020) <doi:10.1177/1471082X19825523>.
Imports: stats, graphics, grDevices, utils
Depends: survival (>= 2.4.1), qrcm (>= 3.0)
License: GPL-2
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-20 08:15:52 UTC; gianlucasottile
Repository: CRAN
Date/Publication: 2021-02-21 17:00:02 UTC

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New package occCite with initial version 0.4.6
Package: occCite
Type: Package
Title: Querying and Managing Large Biodiversity Occurrence Datasets
Version: 0.4.6
Authors@R: c( person(given = "Hannah L.", family = "Owens", ,"hannah.owens@gmail.com", role=c("aut","cre"), comment = c(ORCID = "0000-0003-0071-1745")), person(given = "Cory", family = "Merow",,,role="aut", comment = c(ORCID = "0000-0003-0561-053X")), person(given = "Brian", family = "Maitner", ,,,role="aut", comment = c(ORCID = "0000-0002-2118-9880")), person(given = "Jamie M.", family = "Kass", ,,,role="aut", comment = c(ORCID = "0000-0002-9432-895X")), person(given = "Vijay", family = "Barve",,"vijay.barve@gmail.com ",role="aut", comment = c(ORCID = "0000-0002-4852-2567")), person(given = "Robert P.", family = "Guralnick",,,role="aut", comment = c(ORCID = "0000-0001-6682-1504")) )
Author: Hannah L. Owens [aut, cre] (<https://orcid.org/0000-0003-0071-1745>), Cory Merow [aut] (<https://orcid.org/0000-0003-0561-053X>), Brian Maitner [aut] (<https://orcid.org/0000-0002-2118-9880>), Jamie M. Kass [aut] (<https://orcid.org/0000-0002-9432-895X>), Vijay Barve [aut] (<https://orcid.org/0000-0002-4852-2567>), Robert P. Guralnick [aut] (<https://orcid.org/0000-0001-6682-1504>)
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>
Description: Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.
License: GPL-3
URL: https://github.com/hannahlowens/occCite
BugReports: https://github.com/hannahlowens/occCite/issues
Encoding: UTF-8
LazyData: true
Language: en-US
Depends: R (>= 3.5.0)
Suggests: rmarkdown, RColorBrewer, viridis, remotes, RefManageR, testthat
Imports: bib2df, BIEN, bit64, dplyr, ape, lubridate, methods, rgbif (>= 3.1), taxize, stringr, knitr, stats, leaflet, htmltools, ggplot2, rlang, magrittr, tidyr, RPostgreSQL, DBI, waffle
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-02 13:07:19 UTC; Hannah
Repository: CRAN
Date/Publication: 2021-02-21 17:00:06 UTC

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New package dbhydroR with initial version 0.2-8
Package: dbhydroR
Title: 'DBHYDRO' Hydrologic and Water Quality Data
Description: Client for programmatic access to the South Florida Water Management District's 'DBHYDRO' database at <https://www.sfwmd.gov/science-data/dbhydro>, with functions for accessing hydrologic and water quality data.
Version: 0.2-8
Authors@R: c( person("Joseph", "Stachelek", role = c("aut","cre"), email = "stachel2@msu.edu", comment = c(ORCID = "0000-0002-5924-2464")) )
URL: https://github.com/ropensci/dbhydroR, https://docs.ropensci.org/dbhydroR/
BugReports: https://github.com/ropensci/dbhydroR/issues
Depends: R (>= 3.0.2)
Imports: httr, reshape2, XML
License: GPL
LazyData: true
Suggests: testthat, knitr, rmarkdown, vcr
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-02-21 02:04:30 UTC; julie
Author: Joseph Stachelek [aut, cre] (<https://orcid.org/0000-0002-5924-2464>)
Maintainer: Joseph Stachelek <stachel2@msu.edu>
Repository: CRAN
Date/Publication: 2021-02-21 16:50:02 UTC

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Package quantities updated to version 0.1.6 with previous version 0.1.5 dated 2020-06-14

Title: Quantity Calculus for R Vectors
Description: Integration of the 'units' and 'errors' packages for a complete quantity calculus system for R vectors, matrices and arrays, with automatic propagation, conversion, derivation and simplification of magnitudes and uncertainties. Documentation about 'units' and 'errors' is provided in the papers by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>) and by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in those packages as vignettes; see 'citation("quantities")' for details.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

Diff between quantities versions 0.1.5 dated 2020-06-14 and 0.1.6 dated 2021-02-21

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Package quarks updated to version 1.0.4 with previous version 1.0.3 dated 2021-02-20

Title: Simple Methods for Calculating Value at Risk and Expected Shortfall
Description: Enables the user to calculate Value at Risk (VaR) and Expected Shortfall (ES) by means of various types of historical simulation. Currently plain historical simulation as well as age- and volatility-weighted historical simulation are implemented in this package. Volatility weighting is carried out via an exponentially weighted moving average (EWMA). The methods of the package are described in Gurrola-Perez, P. and Murphy, D. (2015) <https://EconPapers.repec.org/RePEc:boe:boeewp:0525>.
Author: Sebastian Letmathe [aut, cre] (Paderborn University, Germany)
Maintainer: Sebastian Letmathe <sebastian.letmathe@uni-paderborn.de>

Diff between quarks versions 1.0.3 dated 2021-02-20 and 1.0.4 dated 2021-02-21

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Package htmldf updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-25

Title: Simple Scraping and Tidy Webpage Summaries
Description: Simple tools for scraping webpages, extracting common html tags and parsing contents to a tidy, tabular format. Tools help with extraction of page titles, links, images, rss feeds, social media handles and page metadata.
Author: Alastair Rushworth
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>

Diff between htmldf versions 0.1.0 dated 2020-09-25 and 0.2.0 dated 2021-02-21

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Package splines2 updated to version 0.4.2 with previous version 0.4.1 dated 2021-01-07

Title: Regression Spline Functions and Classes
Description: Constructs basis matrix of B-splines, M-splines, I-splines, convex splines (C-splines), periodic M-splines, natural cubic splines, generalized Bernstein polynomials, and their integrals (except C-splines) and derivatives of given order by close-form recursive formulas. It also contains a C++ head-only library integrated with Rcpp. See De Boor (1978) <doi:10.1002/zamm.19800600129>, Ramsay (1988) <doi:10.1214/ss/1177012761>, and Meyer (2008) <doi:10.1214/08-AOAS167> for more information about the spline basis.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Jun Yan [aut] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between splines2 versions 0.4.1 dated 2021-01-07 and 0.4.2 dated 2021-02-21

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Package kit updated to version 0.0.6 with previous version 0.0.5 dated 2020-11-21

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]
Maintainer: Morgan Jacob <morgan.emailbox@gmail.com>

Diff between kit versions 0.0.5 dated 2020-11-21 and 0.0.6 dated 2021-02-21

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Package imgpalr updated to version 0.3.1 with previous version 0.3.0 dated 2019-11-28

Title: Create Color Palettes from Images
Description: Provides ability to create color palettes from image files. It offers control over the type of color palette to derive from an image (qualitative, sequential or divergent) and other palette properties. Quantiles of an image color distribution can be trimmed. Near-black or near-white colors can be trimmed in RGB color space independent of trimming brightness or saturation distributions in HSV color space. Creating sequential palettes also offers control over the order of HSV color dimensions to sort by. This package differs from other related packages like 'RImagePalette' in approaches to quantizing and extracting colors in images to assemble color palettes and the level of user control over palettes construction.
Author: Matthew Leonawicz [aut, cre] (<https://orcid.org/0000-0001-9452-2771>)
Maintainer: Matthew Leonawicz <mfleonawicz@gmail.com>

Diff between imgpalr versions 0.3.0 dated 2019-11-28 and 0.3.1 dated 2021-02-21

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Package gets updated to version 0.27 with previous version 0.26 dated 2020-10-14

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03>.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut], Jonas Kurle [ctb], Moritz Schwarz [ctb]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

Diff between gets versions 0.26 dated 2020-10-14 and 0.27 dated 2021-02-21

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Package ecoseries (with last version 0.1.5) was removed from CRAN

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

2017-09-27 0.1.5
2017-08-11 0.1.4
2017-05-04 0.1.3
2017-04-27 0.1.2
2017-02-17 0.1.1
2017-01-31 0.1.00
2017-01-13 0.0.99
2017-01-05 0.0.98

Permanent link
Package genderBR (with last version 1.1.1) was removed from CRAN

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

2021-02-15 1.1.1
2018-04-17 1.1.0
2017-09-05 1.0.1

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Package Sequential updated to version 3.3.1 with previous version 3.3 dated 2021-02-06

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled.
Author: Ivair Ramos Silva and Martin Kulldorff
Maintainer: Ivair Ramos Silva <jamesivair@yahoo.com.br>

Diff between Sequential versions 3.3 dated 2021-02-06 and 3.3.1 dated 2021-02-21

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Package RAEN updated to version 0.2 with previous version 0.1 dated 2021-01-18

Title: Random Approximate Elastic Net (RAEN) Variable Selection Method
Description: The Proportional Subdistribution Hazard (PSH) model has been popular for estimating the effects of the covariates on the cause of interest in Competing Risks analysis. The fast accumulation of large scale datasets has posed a challenge to classical statistical methods. Current penalized variable selection methods show unsatisfactory performance in ultra-high dimensional data. We propose a novel method, the Random Approximate Elastic Net (RAEN), with a robust and generalized solution to the variable selection problem for the PSH model. Our method shows improved sensitivity for variable selection compared with current methods.
Author: Han Sun and Xiaofeng Wang
Maintainer: Han Sun <han.sunny@gmail.com>

Diff between RAEN versions 0.1 dated 2021-01-18 and 0.2 dated 2021-02-21

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Package iForecast updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-04

Title: Machine Learning Time Series Forecasting
Description: Compute both static and recursive time series forecasts of machine learning models.
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

Diff between iForecast versions 1.0.1 dated 2020-11-04 and 1.0.2 dated 2021-02-21

 DESCRIPTION      |    8 +++----
 MD5              |   19 +++++++++--------
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 man/ttsCaret.Rd  |    2 -
 man/ttsLSTM.Rd   |    6 +++--
 11 files changed, 162 insertions(+), 40 deletions(-)

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Package data.table updated to version 1.14.0 with previous version 1.13.6 dated 2020-12-30

Title: Extension of `data.frame`
Description: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Author: Matt Dowle [aut, cre], Arun Srinivasan [aut], Jan Gorecki [ctb], Michael Chirico [ctb], Pasha Stetsenko [ctb], Tom Short [ctb], Steve Lianoglou [ctb], Eduard Antonyan [ctb], Markus Bonsch [ctb], Hugh Parsonage [ctb], Scott Ritchie [ctb], Kun Ren [ctb], Xianying Tan [ctb], Rick Saporta [ctb], Otto Seiskari [ctb], Xianghui Dong [ctb], Michel Lang [ctb], Watal Iwasaki [ctb], Seth Wenchel [ctb], Karl Broman [ctb], Tobias Schmidt [ctb], David Arenburg [ctb], Ethan Smith [ctb], Francois Cocquemas [ctb], Matthieu Gomez [ctb], Philippe Chataignon [ctb], Nello Blaser [ctb], Dmitry Selivanov [ctb], Andrey Riabushenko [ctb], Cheng Lee [ctb], Declan Groves [ctb], Daniel Possenriede [ctb], Felipe Parages [ctb], Denes Toth [ctb], Mus Yaramaz-David [ctb], Ayappan Perumal [ctb], James Sams [ctb], Martin Morgan [ctb], Michael Quinn [ctb], @javrucebo [ctb], @marc-outins [ctb], Roy Storey [ctb], Manish Saraswat [ctb], Morgan Jacob [ctb], Michael Schubmehl [ctb], Davis Vaughan [ctb], Toby Hocking [ctb], Leonardo Silvestri [ctb], Tyson Barrett [ctb], Jim Hester [ctb], Anthony Damico [ctb], Sebastian Freundt [ctb], David Simons [ctb], Elliott Sales de Andrade [ctb], Cole Miller [ctb], Jens Peder Meldgaard [ctb], Vaclav Tlapak [ctb], Kevin Ushey [ctb], Dirk Eddelbuettel [ctb], Ben Schwen [ctb]
Maintainer: Matt Dowle <mattjdowle@gmail.com>

Diff between data.table versions 1.13.6 dated 2020-12-30 and 1.14.0 dated 2021-02-21

 DESCRIPTION                                                 |   16 
 MD5                                                         |   66 -
 NEWS.md                                                     |   31 
 R/fread.R                                                   |    2 
 R/setops.R                                                  |    9 
 R/test.data.table.R                                         |    2 
 README.md                                                   |    2 
 configure                                                   |   17 
 inst/cc                                                     |    2 
 inst/doc/datatable-benchmarking.html                        |    4 
 inst/doc/datatable-faq.html                                 |    4 
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 inst/doc/datatable-reshape.html                             |    4 
 inst/doc/datatable-sd-usage.html                            |    4 
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 inst/tests/tests.Rraw.bz2                                   |binary
 man/fread.Rd                                                |    4 
 src/Makevars.in                                             |    5 
 src/bmerge.c                                                |  479 ++++--------
 src/data.table.h                                            |    2 
 src/forder.c                                                |   27 
 src/fread.c                                                 |    2 
 src/fread.h                                                 |    5 
 src/freadR.c                                                |    2 
 src/freadR.h                                                |    1 
 src/fwrite.c                                                |   73 -
 src/init.c                                                  |    2 
 src/uniqlist.c                                              |   14 
 src/utils.c                                                 |    6 
 vignettes/datatable-intro.Rmd                               |    2 
 34 files changed, 374 insertions(+), 449 deletions(-)

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