Sun, 09 Jan 2022

Package forecast updated to version 8.16 with previous version 8.15 dated 2021-06-01

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.15 dated 2021-06-01 and 8.16 dated 2022-01-09

 DESCRIPTION                     |    8 
 MD5                             |   65 +++----
 NEWS.md                         |  255 ++++++++++++++--------------
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 R/clean.R                       |    9 
 R/ets.R                         |    4 
 R/etsforecast.R                 |   18 +
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 R/getResponse.R                 |    4 
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 34 files changed, 573 insertions(+), 560 deletions(-)

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Package tidytree updated to version 0.3.7 with previous version 0.3.6 dated 2021-11-12

Title: A Tidy Tool for Phylogenetic Tree Data Manipulation
Description: Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>), Bradley Jones [ctb], Zebulun Arendsee [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between tidytree versions 0.3.6 dated 2021-11-12 and 0.3.7 dated 2022-01-09

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Package shadowtext updated to version 0.1.1 with previous version 0.1.0 dated 2021-12-20

Title: Shadow Text Grob and Layer
Description: Implement shadowtextGrob() for 'grid' and geom_shadowtext() layer for 'ggplot2'. These functions create/draw text grob with background shadow.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between shadowtext versions 0.1.0 dated 2021-12-20 and 0.1.1 dated 2022-01-09

 DESCRIPTION              |    6 +++---
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 4 files changed, 12 insertions(+), 8 deletions(-)

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Package jpmesh updated to version 2.1.0 with previous version 2.0.2 dated 2021-06-25

Title: Utilities for Japanese Mesh Code
Description: Helpful functions for using mesh code (80km to 100m) data in Japan. Visualize mesh code using 'ggplot2' and 'leaflet', etc.
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>)
Maintainer: Shinya Uryu <suika1127@gmail.com>

Diff between jpmesh versions 2.0.2 dated 2021-06-25 and 2.1.0 dated 2022-01-09

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Package aplot updated to version 0.1.2 with previous version 0.1.1 dated 2021-09-22

Title: Decorate a 'ggplot' with Associated Information
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. This package provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between aplot versions 0.1.1 dated 2021-09-22 and 0.1.2 dated 2022-01-09

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More information about aplot at CRAN
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Package akc updated to version 0.9.6 with previous version 0.9.5 dated 2020-12-05

Title: Automatic Knowledge Classification
Description: A tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in 'akc' are general, and could be extended to solve other tasks in text mining as well.
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

Diff between akc versions 0.9.5 dated 2020-12-05 and 0.9.6 dated 2022-01-09

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Package grattan updated to version 1.9.0.10 with previous version 1.9.0.9 dated 2021-07-16

Title: Australian Tax Policy Analysis
Description: Utilities to cost and evaluate Australian tax policy, including fast projections of personal income tax collections, high-performance tax and transfer calculators, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program, and related projects. Access to the Australian Taxation Office's sample files of personal income tax returns is assumed.
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], Matthew Katzen [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb], Matt Cowgill [aut]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattan versions 1.9.0.9 dated 2021-07-16 and 1.9.0.10 dated 2022-01-09

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New package Rfssa with initial version 2.0.1
Package: Rfssa
Title: Functional Singular Spectrum Analysis
Version: 2.0.1
Maintainer: Hossein Haghbin <haghbinh@gmail.com>
URL: https://github.com/haghbinh/Rfssa
Description: Methods and tools for implementing univariate and multivariate functional singular spectrum analysis for functional time series whose variables might be observed over different dimensional domains. The univariate fssa algorithm is described in Haghbin H., Najibi, S.M., Mahmoudvand R., Trinka J., Maadooliat M. (2021) and the multivariate fssa over different dimensional domains technique may be found in Trinka J., Haghbin H., and Maadooliat M. (Accepted). In addition, one may perform forecasting of univariate and multivariate fts whose variables are observed over one-dimensional domains as described in the dissertation of Trinka J. (2021) and the manuscript of Trinka J., Haghbin H., Maadooliat M. (2020) where the manuscript is to be submitted to a journal for publication.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp, fda, lattice, plotly, shiny, Rssa, hrbrthemes, ggplot2, tibble, methods, RSpectra, httr, markdown
LinkingTo: Rcpp, RcppArmadillo, RcppEigen,
Suggests: knitr,
Depends: R (>= 4.0.0), dplyr
NeedsCompilation: yes
Packaged: 2022-01-09 06:13:39 UTC; asus
Author: Hossein Haghbin [aut, cre] (<https://orcid.org/0000-0001-8416-2354>), Jordan Trinka [aut], Seyed Morteza Najibi [aut], Mehdi Maadooliat [aut] (<https://orcid.org/0000-0002-5408-2676>)
Repository: CRAN
Date/Publication: 2022-01-10 00:32:44 UTC

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New package frscore with initial version 0.1.1
Package: frscore
Title: Functions for Calculating Fit-Robustness of CNA-Solutions
Version: 0.1.1
Description: Functions for automatically performing a reanalysis series on a data set using CNA, and for calculating the fit-robustness of the resulting models, as described in Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
License: AGPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, Rfast, magrittr, rlang
Depends: R (>= 3.5), cna (>= 3.2.0)
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2022-01-05 10:54:53 UTC; vpa022
Author: Veli-Pekka Parkkinen [aut, cre, cph], Michael Baumgartner [aut, cph], Mathias Ambuehl [ctb]
Maintainer: Veli-Pekka Parkkinen <parkkinenv@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-10 00:32:41 UTC

More information about frscore at CRAN
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Package fansi updated to version 1.0.0 with previous version 0.5.0 dated 2021-05-25

Title: ANSI Control Sequence Aware String Functions
Description: Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences.
Author: Brodie Gaslam [aut, cre], Elliott Sales De Andrade [ctb], R Core Team [cph] (UTF8 byte length calcs from src/util.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package ENMeval updated to version 2.0.3 with previous version 2.0.2 dated 2021-12-13

Title: Automated Tuning and Evaluations of Ecological Niche Models
Description: Runs ecological niche models over all combinations of user-defined settings (i.e., tuning), performs cross validation to evaluate models, and returns data tables to aid in selection of optimal model settings that balance goodness-of-fit and model complexity. Also has functions to partition data spatially (or not) for cross validation, to plot multiple visualizations of results, to run null models to estimate significance and effect sizes of performance metrics, and to calculate niche overlap between model predictions, among others. The package was originally built for Maxent models (Phillips et al. 2006, Phillips et al. 2017), but the current version allows possible extensions for any modeling algorithm. The extensive vignette, which guides users through most package functionality but unfortunately has a file size too big for CRAN, can be found here on the package's Github Pages website: <https://jamiemkass.github.io/ENMeval/articles/ENMeval-2.0.0-vignette.html>.
Author: Jamie M. Kass [aut, cre], Robert Muscarella [aut], Peter J. Galante [aut], Corentin Bohl [aut], Gonzalo E. Buitrago-Pinilla [aut], Robert A. Boria [aut], Mariano Soley-Guardia [aut], Robert P. Anderson [aut]
Maintainer: Jamie M. Kass <jamie.m.kass@gmail.com>

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Package vegdata updated to version 0.9.10 with previous version 0.9.8 dated 2020-05-13

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from different sources ( Turboveg 2.0 <https://www.synbiosys.alterra.nl/turboveg/>; the German national repository <https://www.vegetweb.de> and others. Taxonomic harmonization (given appropriate taxonomic lists, e.g. the German taxonomic standard list "GermanSL", <https://germansl.infinitenature.org>).
Author: Florian Jansen <florian.jansen@uni-rostock.de>
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

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Package unitizer updated to version 1.4.17 with previous version 1.4.16 dated 2022-01-05

Title: Interactive R Unit Tests
Description: Simplifies regression tests by comparing objects produced by test code with earlier versions of those same objects. If objects are unchanged the tests pass, otherwise execution stops with error details. If in interactive mode, tests can be reviewed through the provided interactive environment.
Author: Brodie Gaslam [aut, cre], R Core Team [cph] (Traceback function sources.)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package RecordLinkage updated to version 0.4-12.3 with previous version 0.4-12.2 dated 2022-01-09

Title: Record Linkage Functions for Linking and Deduplicating Data Sets
Description: Provides functions for linking and deduplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain. For details, see our paper "The RecordLinkage Package: Detecting Errors in Data" Sariyar M / Borg A (2010) <doi:10.32614/RJ-2010-017>.
Author: Murat Sariyar [aut, cre], Andreas Borg [aut]
Maintainer: Murat Sariyar <murat.sariyar@bfh.ch>

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Package Rblpapi updated to version 0.3.13 with previous version 0.3.12 dated 2021-12-07

Title: R Interface to 'Bloomberg'
Description: An R Interface to 'Bloomberg' is provided via the 'Blp API'.
Author: Whit Armstrong, Dirk Eddelbuettel and John Laing
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package marginaleffects updated to version 0.3.1 with previous version 0.3.0 dated 2022-01-08

Title: Marginal Effects, Marginal Means, Predictions, and Contrasts
Description: Compute, summarize, and plot marginal effects, adjusted predictions, contrasts, and marginal means for a wide variety of models.
Author: Vincent Arel-Bundock [aut, cre, cph] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between marginaleffects versions 0.3.0 dated 2022-01-08 and 0.3.1 dated 2022-01-09

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Package clintools updated to version 0.9.0 with previous version 0.8.5 dated 2021-08-06

Title: Tools for Clinical Research
Description: Every research team have their own script for data management, statistics and most importantly hemodynamic indices. The purpose is to standardize scripts utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.
Author: Markus Harboe Olsen [cre, aut], Christian Riberholt [aut], Ronan Berg [aut], Kirsten Moeller [aut]
Maintainer: Markus Harboe Olsen <oel@oelfam.com>

Diff between clintools versions 0.8.5 dated 2021-08-06 and 0.9.0 dated 2022-01-09

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Package classmap updated to version 1.2.0 with previous version 1.1.1 dated 2021-07-25

Title: Visualizing Classification Results
Description: Tools to visualize the results of a classification of cases. The graphical displays include stacked plots, silhouette plots, quasi residual plots, and class maps. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, appeared online. <doi:10.1080/00401706.2021.1927849> (open access) and Raymaekers and Rousseeuw (2021), Silhouettes and quasi residual plots for neural nets and tree-based classifiers, <arXiv:2106.08814>. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples", "Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples", and "Neural_net_examples".
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

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Package arules updated to version 1.7-3 with previous version 1.7-2 dated 2021-12-10

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph], Christian Borgelt [ctb, cph], Ian Johnson [ctb], Makhlouf Ledmi [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package gjam updated to version 2.5.1 with previous version 2.5 dated 2021-10-12

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) <doi:10.1002/ecm.1241>.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

Diff between gjam versions 2.5 dated 2021-10-12 and 2.5.1 dated 2022-01-09

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Package bnstruct updated to version 1.0.12 with previous version 1.0.11 dated 2021-05-19

Title: Bayesian Network Structure Learning from Data with Missing Values
Description: Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.
Author: Francesco Sambo [aut], Alberto Franzin [aut, cre]
Maintainer: Alberto Franzin <afranzin@ulb.ac.be>

Diff between bnstruct versions 1.0.11 dated 2021-05-19 and 1.0.12 dated 2022-01-09

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Package sregsurvey updated to version 0.1.2 with previous version 0.1.1 dated 2021-12-03

Title: Semiparametric Model-Assisted Estimation in Finite Populations
Description: It is a framework to fit semiparametric regression estimators for the total parameter of a finite population when the interest variable is asymmetric distributed. The main references for this package are: Sarndal C.E., Swensson B., and Wretman J. (2003,ISBN: 978-0-387-40620-6, "Model Assisted Survey Sampling." Springer-Verlag) and Cardozo C.A and Alonso-Malaver C.E. (2021). "Semi-parametric model assisted estimation in finite populations." In preparation.
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph], Carlos E. Alonso-Malaver [aut]
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

Diff between sregsurvey versions 0.1.1 dated 2021-12-03 and 0.1.2 dated 2022-01-09

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Package SWIM updated to version 1.0.0 with previous version 0.2.2 dated 2020-09-22

Title: Scenario Weights for Importance Measurement
Description: An efficient sensitivity analysis for stochastic models based on Monte Carlo samples. Provides weights on simulated scenarios from a stochastic model, such that stressed random variables fulfil given probabilistic constraints (e.g. specified values for risk measures), under the new scenario weights. Scenario weights are selected by constrained minimisation of the relative entropy to the baseline model. The 'SWIM' package is based on Pesenti S.M., Millossovich P., Tsanakas A. (2019) "Reverse Sensitivity Testing: What does it take to break the model" <openaccess.city.ac.uk/id/eprint/18896/> and Pesenti S.M. (2021) "Reverse Sensitivity Analysis for Risk Modelling" <https://www.ssrn.com/abstract=3878879>.
Author: Silvana M. Pesenti [aut, cre] (<https://orcid.org/0000-0002-6661-6970>), Alberto Bettini [aut], Pietro Millossovich [aut] (<https://orcid.org/0000-0001-8269-7507>), Andreas Tsanakas [aut] (<https://orcid.org/0000-0003-4552-5532>), Zhuomin Mao [ctb], Kent Wu [ctb]
Maintainer: Silvana M. Pesenti <swimpackage@gmail.com>

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Package quarks updated to version 1.0.11 with previous version 1.0.10 dated 2021-11-21

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-, age-, volatility-weighted- and filtered historical simulation are implemented in this package. Volatility weighting can be carried out via an exponentially weighted moving average model (EWMA) or other GARCH-type models. 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 1.0.10 dated 2021-11-21 and 1.0.11 dated 2022-01-09

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Package ChainLadder updated to version 0.2.15 with previous version 0.2.14 dated 2021-11-11

Title: Statistical Methods and Models for Claims Reserving in General Insurance
Description: Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.
Author: Markus Gesmann [aut, cre], Daniel Murphy [aut], Yanwei (Wayne) Zhang [aut], Alessandro Carrato [aut], Giuseppe Crupi [ctb], Christophe Dutang [ctb], Arnaud Lacoume [ctb], Arthur Charpentier [ctb], Mario Wuthrich [aut], Fabio Concina [aut], Eric Dal Moro [aut], Yuriy Krvavych [ctb], Vincent Goulet [ctb], Marco De Virgilis [ctb]
Maintainer: Markus Gesmann <markus.gesmann@googlemail.com>

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Package mfp (with last version 1.5.2.1) was removed from CRAN

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

2021-12-02 1.5.2.1
2015-09-09 1.5.2
2015-02-04 1.5.1
2014-10-02 1.5.0

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Package RecordLinkage updated to version 0.4-12.2 with previous version 0.4-12.1 dated 2020-08-25

Title: Record Linkage Functions for Linking and Deduplicating Data Sets
Description: Provides functions for linking and deduplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain. For details, see our paper "The RecordLinkage Package: Detecting Errors in Data" Sariyar M / Borg A (2010) <doi:10.32614/RJ-2010-017>.
Author: Murat Sariyar [aut, cre], Andreas Borg [aut]
Maintainer: Murat Sariyar <murat.sariyar@bfh.ch>

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Package bfp updated to version 0.0-44 with previous version 0.0-42 dated 2021-02-15

Title: Bayesian Fractional Polynomials
Description: Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms, see Sabanes Bove, D. and Held, L. (2011) <doi:10.1007/s11222-010-9170-7>.
Author: Daniel Sabanes Bove [aut, cre], Isaac Gravestock [aut], Robert Davies [cph], Stephen Moshier [cph], Gareth Ambler [cph], Axel Benner [cph]
Maintainer: Daniel Sabanes Bove <daniel.sabanesbove@gmx.net>

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Package GE updated to version 0.2.4 with previous version 0.2.3 dated 2021-12-21

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see <https://www.nse.pku.edu.cn/> and LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to von Neumann, J. (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9) and Kemeny, J. G., O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

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Package essurvey updated to version 1.0.8 with previous version 1.0.7 dated 2021-03-22

Title: Download Data from the European Social Survey on the Fly
Description: Download data from the European Social Survey directly from their website <http://www.europeansocialsurvey.org/>. There are two families of functions that allow you to download and interactively check all countries and rounds available.
Author: Jorge Cimentada [aut, cre], Thomas Leeper [rev] (Thomas reviewed the package for rOpensci,see https://github.com/ropensci/software-review/issues/201), Nujcharee Haswell [rev] (Nujcharee reviewed the package for rOpensci, see https://github.com/ropensci/software-review/issues/201), Jorge Lopez [ctb], Fran├žois Briatte [ctb]
Maintainer: Jorge Cimentada <cimentadaj@gmail.com>

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