Wed, 30 Sep 2020

Package glmdisc updated to version 0.6 with previous version 0.5 dated 2020-03-22

Title: Discretization and Grouping for Logistic Regression
Description: A Stochastic-Expectation-Maximization (SEM) algorithm (Celeux et al. (1995) <https://hal.inria.fr/inria-00074164>) associated with a Gibbs sampler which purpose is to learn a constrained representation for logistic regression that is called quantization (Ehrhardt et al. (2019) <arXiv:1903.08920>). Continuous features are discretized and categorical features' values are grouped to produce a better logistic regression model. Pairwise interactions between quantized features are dynamically added to the model through a Metropolis-Hastings algorithm (Hastings, W. K. (1970) <doi:10.1093/biomet/57.1.97>).
Author: Adrien Ehrhardt [aut, cre], Vincent Vandewalle [aut], Christophe Biernacki [ctb], Philippe Heinrich [ctb]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt@centraliens-lille.org>

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Package countfitteR updated to version 1.4 with previous version 1.3 dated 2020-09-02

Title: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description: A large number of measurements generate count data. This is a statistical data type that only assumes non-negative integer values and is generated by counting. Typically, counting data can be found in biomedical applications, such as the analysis of DNA double-strand breaks. The number of DNA double-strand breaks can be counted in individual cells using various bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of the number data in order to determine their biomedical significance (Roediger, S. et al., 2018. Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers functions for a comprehensive automated evaluation of distribution models of count data. In addition to programmatic interaction, a graphical user interface (web server) is included, which enables fast and interactive data-scientific analyses. The user is supported in selecting the most suitable counting distribution for his own data set.
Author: Jaroslaw Chilimoniuk [cre, ctb] (<https://orcid.org/0000-0001-5467-018X>), Alicja Gosiewska [ctb] (<https://orcid.org/0000-0001-6563-5742>), Jadwiga Słowik [ctb] (<https://orcid.org/0000-0003-3466-8933>), Michal Burdukiewicz [aut] (<https://orcid.org/0000-0001-8926-582X>), Stefan Roediger [ctb] (<https://orcid.org/0000-0002-1441-6512>)
Maintainer: Jaroslaw Chilimoniuk <jaroslaw.chilimoniuk@gmail.com>

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Package BioVenn updated to version 1.0.2 with previous version 1.0.1 dated 2020-09-07

Title: Create Area-Proportional Venn Diagrams from Biological Lists
Description: Creates an area-proportional Venn diagram of 2 or 3 circles. 'BioVenn' is the only R package that can automatically generate an accurate area-proportional Venn diagram by having only lists of (biological) identifiers as input. Also offers the option to map Entrez and/or Affymetrix IDs to Ensembl IDs. In SVG mode, text and numbers can be dragged and dropped. Based on the BioVenn web interface available at <https://www.biovenn.nl>. Hulsen et al. (2008) <doi:10.1186/1471-2164-9-488>.
Author: Tim Hulsen [aut, cre] (<https://orcid.org/0000-0002-0208-8443>)
Maintainer: Tim Hulsen <thulsen@gmail.com>

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Package bda updated to version 15.1.7 with previous version 15.0.2 dated 2020-07-27

Title: Binned Data Analysis
Description: Algorithms developed for binned data analysis, gene expression data analysis and measurement error models for ordinal data analysis.
Author: Bin Wang <bwang831@gmail.com>
Maintainer: Bin Wang <bwang831@gmail.com>

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Package webmockr updated to version 0.7.0 with previous version 0.6.2 dated 2020-03-24

Title: Stubbing and Setting Expectations on 'HTTP' Requests
Description: Stubbing and setting expectations on 'HTTP' requests. Includes tools for stubbing 'HTTP' requests, including expected request conditions and response conditions. Match on 'HTTP' method, query parameters, request body, headers and more. Can be used for unit tests or outside of a testing context.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Aaron Wolen [ctb] (<https://orcid.org/0000-0003-2542-2202>), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

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Package vroom updated to version 1.3.2 with previous version 1.3.1 dated 2020-08-27

Title: Read and Write Rectangular Text Data Quickly
Description: The goal of 'vroom' is to read and write data (like 'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial indexing step, then reads the values lazily , so only the data you actually use needs to be read. The writer formats the data in parallel and writes to disk asynchronously from formatting.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), https://github.com/mandreyel/ [cph] (mio library), R Core Team [ctb] (localtime.c code adapted from R), Jukka Jylänki [cph] (grisu3 implementation), Mikkel Jørgensen [cph] (grisu3 implementation), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package UCSCXenaTools updated to version 1.3.4 with previous version 1.3.3 dated 2020-08-05

Title: Download and Explore Datasets from UCSC Xena Data Hubs
Description: Download and explore datasets from UCSC Xena data hubs, which are a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others. Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Xue-Song Liu [aut] (<https://orcid.org/0000-0002-7736-0077>), Martin Morgan [ctb], Christine Stawitz [rev] (Christine reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/315>), Carl Ganz [rev] (Carl reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/315>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package coda updated to version 0.19-4 with previous version 0.19-3 dated 2019-07-05

Title: Output Analysis and Diagnostics for MCMC
Description: Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain.
Author: Martyn Plummer [aut, cre, trl], Nicky Best [aut], Kate Cowles [aut], Karen Vines [aut], Deepayan Sarkar [aut], Douglas Bates [aut], Russell Almond [aut], Arni Magnusson [aut]
Maintainer: Martyn Plummer <martyn.plummer@gmail.com>

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Package rmdcev updated to version 1.2.4 with previous version 1.2.3 dated 2020-09-23

Title: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models
Description: Estimates and simulates Kuhn-Tucker demand models with individual heterogeneity. The package implements the multiple-discrete continuous extreme value (MDCEV) model and the Kuhn-Tucker specification common in the environmental economics literature on recreation demand. Latent class and random parameters specifications can be implemented and the models are fit using maximum likelihood estimation or Bayesian estimation. All models are implemented in Stan, which is a C++ package for performing full Bayesian inference (see Stan Development Team, 2019) <https://mc-stan.org/>. The package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare calculation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>) for policy simulation.
Author: Patrick Lloyd-Smith [aut, cre], Trustees of Columbia University [cph]
Maintainer: Patrick Lloyd-Smith <patrick.lloydsmith@usask.ca>

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Package rmarkdown updated to version 2.4 with previous version 2.3 dated 2020-06-18

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Andrew Dunning [ctb] (<https://orcid.org/0000-0003-0464-5036>), Atsushi Yasumoto [ctb, cph] (<https://orcid.org/0000-0002-8335-495X>, Number sections Lua filter), Barret Schloerke [ctb], Christophe Dervieux [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Jeff Allen [ctb], JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>), Malcolm Barrett [ctb], Rob Hyndman [ctb], Romain Lesur [ctb], Roy Storey [ctb], Ruben Arslan [ctb], Sergio Oller [ctb], RStudio, PBC [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui-AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs), Benct Philip Jonsson [ctb, cph] (pagebreak Lua filter), Albert Krewinkel [ctb, cph] (pagebreak Lua filter)
Maintainer: Yihui Xie <xie@yihui.name>

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Package rlc updated to version 0.3.0 with previous version 0.2.0 dated 2020-01-17

Title: Create Interactive Linked Charts with Minimal Code
Description: An easy-to-use tool to employ interactivity in every-day exploratory analysis. It contains a collection of most commonly used types of charts (such as scatter plots, line plots, heatmaps, bar charts), which can be linked to each other or to other interactive elements with just few lines of code.
Author: Svetlana Ovchinnikova [aut, cre], Simon Anders [aut]
Maintainer: Svetlana Ovchinnikova <s.ovchinnikova@zmbh.uni-heidelberg.de>

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Package BGVAR updated to version 2.1.3 with previous version 2.1.2 dated 2020-09-14

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.
Author: Maximilian Boeck [aut, cre] (<https://orcid.org/0000-0001-6024-8305>), Martin Feldkircher [aut] (<https://orcid.org/0000-0002-5511-9215>), Florian Huber [aut] (<https://orcid.org/0000-0002-2896-7921>), Christopher Sims [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@wu.ac.at>

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Package MendelianRandomization updated to version 0.5.0 with previous version 0.4.3 dated 2020-08-11

Title: Mendelian Randomization Package
Description: Encodes several methods for performing Mendelian randomization analyses with summarized data. Summarized data on genetic associations with the exposure and with the outcome can be obtained from large consortia. These data can be used for obtaining causal estimates using instrumental variable methods.
Author: Olena Yavorska <olena.yavorska@ludwig.ox.ac.uk> James Staley <james.staley@bristol.ac.uk>
Maintainer: Stephen Burgess <sb452@medschl.cam.ac.uk>

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Package easyr (with last version 0.5-0) was removed from CRAN

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

2020-08-10 0.5-0
2020-06-02 0.4-0
2020-03-20 0.3-1
2020-01-31 0.2-0

Permanent link
Package minidown updated to version 0.0.2 with previous version 0.0.1 dated 2020-05-04

Title: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Description: Create minimal, responsive, and style-agnostic HTML documents with the lightweight CSS frameworks such as 'sakura', 'Water.css', and 'mini.css'. Powerful features include floating table of contents as a sidebar, code folding of source, output, message, warning, and error, and accordion menus. They work without JavaScript.
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Angelos Chalaris [aut] (mini.css), Mitesh Shah [aut] (sakura), Kognise [aut] (Water.css)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

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Package EpiILM updated to version 1.5.2 with previous version 1.5.1 dated 2020-06-29

Title: Spatial and Network Based Individual Level Models for Epidemics
Description: Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
Author: Vineetha Warriyar. K. V., Waleed Almutiry, and Rob Deardon
Maintainer: Waleed Almutiry <wkmtierie@qu.edu.sa>

Diff between EpiILM versions 1.5.1 dated 2020-06-29 and 1.5.2 dated 2020-09-30

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 MD5                   |   14 +--
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 inst/doc/Predict.pdf  |binary
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Package BAT updated to version 2.2.0 with previous version 2.1.1 dated 2020-08-29

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxon, phylogenetic and functional diversity), whether communities are completely sampled or not. It allows performing a number of analyses based on either species identities or phylogenetic/functional trees or functional kernel n-dimensional hypervolumes depicting species relationships.
Author: Pedro Cardoso, Stefano Mammola, Francois Rigal, Jose Carlos Carvalho
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

Diff between BAT versions 2.1.1 dated 2020-08-29 and 2.2.0 dated 2020-09-30

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 16 files changed, 192 insertions(+), 53 deletions(-)

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Package childsds updated to version 0.7.6 with previous version 0.7.4 dated 2019-03-26

Title: Data and Methods Around Reference Values in Pediatrics
Description: Calculation of standard deviation scores and percentiles adduced from different growth standards (WHO, UK, Germany, Italy, China, etc). Therefore, the calculation of SDS-values for different measures like BMI, weight, height, head circumference, different ratios, etc. are easy to carry out. Also, references for laboratory values in children and adults are available, e.g., serum lipids, iron-related blood parameters, IGF, liver enzymes. In the new version, there are also functions combining the lms() function from package 'gamlss' with resampling methods for using with repeated measurements and family dependencies. A searchable list of items can be found here: <https://github.com/mvogel78/childsds/wiki>.
Author: Mandy Vogel [aut, cre]
Maintainer: Mandy Vogel <mandy.vogel@googlemail.com>

Diff between childsds versions 0.7.4 dated 2019-03-26 and 0.7.6 dated 2020-09-30

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New package sccore with initial version 0.1.0
Package: sccore
Title: Core Utilities for Single-Cell RNA-Seq
Version: 0.1.0
Authors@R: c(person("Peter", "Kharchenko", email = "peter_kharchenko@hms.harvard.edu", role = "aut"), person("Viktor","Petukhov", email="viktor.s.petuhov@ya.ru", role="aut"), person("Ramus","Rydbirk", email="rasmus.rydbirk@bric.ku.dk", role="aut"), person("Evan","Biederstedt", email="evan.biederstedt@gmail.com", role=c("aut", "cre")))
Description: Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggrepel, graphics, grDevices, igraph, magrittr, Matrix, methods, pROC, parallel, Rcpp, rlang, scales, tibble, utils, uwot, withr
Depends: R (>= 3.5.0)
Suggests: ggrastr (>= 0.1.7), pbapply, rmumps, testthat
RoxygenNote: 7.1.1
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppEigen
NeedsCompilation: yes
URL: https://github.com/kharchenkolab/sccore
BugReports: https://github.com/kharchenkolab/sccore/issues
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Ramus Rydbirk [aut], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>
Packaged: 2020-09-28 13:24:22 UTC; evanbiederstedt
Repository: CRAN
Date/Publication: 2020-09-30 10:00:02 UTC

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New package rgenie with initial version 1.0.0
Package: rgenie
Title: Analysis of GenIE Experiments
Version: 1.0.0
Authors@R: person("Jeremy", "Schwartzentruber", email = "jeremy37@gmail.com", role = c("aut", "cre"))
Description: The R package for GenIE analysis is designed to analyze the next-generation sequencing output from a set of GenIE experimental replicates. GenIE (genome-editing interrogation of enhancers) is an experimental method to evaluate the effects of individual single-nucleotide polymorphisms (SNPs) on gene transcription. It is based on targeted CRISPR-Cas9 genome editing in cultured cells to produce indels at a target locus, optionally with a homology-dependent recombination (HDR) construct to create precisely defined genomic changes. Following this, both genomic DNA (gDNA) and RNA are extracted from the same pool of cells, then complementary DNA (cDNA) is generated from the RNA. Both gDNA and cDNA are amplified with locus-specific PCR primers, in multiple replicates, and libraries of the experimental replicates are prepared for next-generation sequencing. The sequencing data from each replicate for each region should be aligned to either the full reference genome or to a locus-specific (amplicon) reference genome for analysis by 'rgenie'.
License: MIT + file LICENSE
URL: https://github.com/jeremy37/rgenie
BugReports: https://github.com/jeremy37/rgenie/issues
Encoding: UTF-8
LazyData: true
biocViews:
Imports: dplyr (>= 1.0.2), ggplot2 (>= 3.3.2), magrittr (>= 1.5), stringr (>= 1.4.0), readr (>= 1.3.1), tidyr (>= 1.1.2), tibble (>= 3.0.3), forcats (>= 0.5.0), stats, cowplot (>= 0.9.4), egg (>= 0.4.2), ggdendro (>= 0.1-20), gridExtra (>= 2.3), FNN (>= 1.1.3), variancePartition (>= 1.14.0), Rsamtools (>= 2.0.0), IRanges (>= 2.18.1)
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Depends: R (>= 3.3)
NeedsCompilation: no
Packaged: 2020-09-28 10:28:51 UTC; jeremys
Author: Jeremy Schwartzentruber [aut, cre]
Maintainer: Jeremy Schwartzentruber <jeremy37@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-30 09:20:03 UTC

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New package LearnClust with initial version 1.0
Package: LearnClust
Type: Package
Date: 2020-09-04
Title: Learning Hierarchical Clustering Algorithms
Version: 1.0
Authors@R: c( person("Roberto","Alcantara", role = c("aut","cre"), email = "roberto.alcantara@edu.uah.es"), person("Juan Jose Cuadrado", role = c("aut"), email = "jjcg@uah.es"), person("Universidad de Alcala de Henares", role = c("aut")) )
Author: Roberto Alcantara [aut, cre], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut]
Maintainer: Roberto Alcantara <roberto.alcantara@edu.uah.es>
Description: Classical hierarchical clustering algorithms, agglomerative and divisive clustering. Algorithms are implemented as a theoretical way, step by step. It includes some detailed functions that explain each step. Every function allows options to get different results using different techniques. The package explains non expert users how hierarchical clustering algorithms work.
License: Unlimited
Depends: magick
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-28 11:23:12 UTC; Roberto
Repository: CRAN
Date/Publication: 2020-09-30 09:30:03 UTC

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New package h2o with initial version 3.30.1.3
Package: h2o
Version: 3.30.1.3
Type: Package
Title: R Interface for the 'H2O' Scalable Machine Learning Platform
Date: 2020-09-28
Authors@R: c( person("Erin", "LeDell", role = c("aut", "cre"), email = "erin@h2o.ai"), person("Navdeep", "Gill", role = c("aut")), person("Spencer", "Aiello", role = c("aut")), person("Anqi", "Fu", role = c("aut")), person("Arno", "Candel", role = c("aut")), person("Cliff", "Click", role = c("aut")), person("Tom", "Kraljevic", role = c("aut")), person("Tomas", "Nykodym", role = c("aut")), person("Patrick", "Aboyoun", role = c("aut")), person("Michal", "Kurka", role = c("aut")), person("Michal", "Malohlava", role = c("aut")), person("Ludi", "Rehak", role = c("ctb")), person("Eric", "Eckstrand", role = c("ctb")), person("Brandon", "Hill", role = c("ctb")), person("Sebastian", "Vidrio", role = c("ctb")), person("Surekha", "Jadhawani", role = c("ctb")), person("Amy", "Wang", role = c("ctb")), person("Raymond", "Peck", role = c("ctb")), person("Wendy", "Wong", role = c("ctb")), person("Jan", "Gorecki", role = c("ctb")), person("Matt", "Dowle", role = c("ctb")), person("Yuan", "Tang", role = c("ctb")), person("Lauren", "DiPerna", role = c("ctb")), person("H2O.ai", role = c("cph", "fnd")) )
Description: R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
License: Apache License (== 2.0)
URL: https://github.com/h2oai/h2o-3
BugReports: https://0xdata.atlassian.net/projects/PUBDEV
NeedsCompilation: no
SystemRequirements: Java (>= 8)
Depends: R (>= 2.13.0), methods, stats
Imports: graphics, tools, utils, RCurl, jsonlite
Suggests: ggplot2, mlbench, Matrix, slam, bit64 (>= 0.9.7), data.table (>= 1.9.8), rgl (>= 0.100.19), plot3Drgl (>= 1.0.1), survival
Collate: 'aggregator.R' 'astfun.R' 'automl.R' 'classes.R' 'config.R' 'connection.R' 'constants.R' 'datasets.R' 'logging.R' 'communication.R' 'kvstore.R' 'frame.R' 'targetencoder_deprecated.R' 'targetencoder.R' 'import.R' 'isolationforest.R' 'parse.R' 'export.R' 'edicts.R' 'models.R' 'coxph.R' 'coxphutils.R' 'kmeans.R' 'gam.R' 'gbm.R' 'generic.R' 'glm.R' 'glrm.R' 'pca.R' 'svd.R' 'psvm.R' 'deeplearning.R' 'stackedensemble.R' 'xgboost.R' 'randomforest.R' 'naivebayes.R' 'word2vec.R' 'w2vutils.R' 'locate.R' 'grid.R' 'segment.R' 'predict.R' 'zzz.R' 'tf-idf.R'
RoxygenNote: 7.1.1
Packaged: 2020-09-28 15:32:55 UTC; jenkins
Author: Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], H2O.ai [cph, fnd]
Maintainer: Erin LeDell <erin@h2o.ai>
Repository: CRAN
Date/Publication: 2020-09-30 09:10:02 UTC

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New package composits with initial version 0.1.0
Package: composits
Type: Package
Title: Compositional, Multivariate and Univariate Time Series Outlier Ensemble
Version: 0.1.0
Authors@R: c( person("Sevvandi", "Kandanaarachchi", email = "sevvandik@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0337-0395")), person("Patricia", "Menendez", email = "Patricia.Menendez@monash.edu", role = c("aut"), comment = c(ORCID = "0000-0003-0701-6315")), person("Ursula", "Laa", email = "Ursula.Laa@monash.edu", role = c("aut"), comment = c(ORCID = "0000-0002-0249-6439")), person("Ruben", "Loaiza-Maya", email = "Ruben.LoaizaMaya@monash.edu", role = c("aut"), comment = c(ORCID = "0000-0003-4132-8355")) )
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>
Description: An ensemble of time series outlier detection methods that can be used for compositional, multivariate and univariate data. It uses the four R packages 'forecast', 'tsoutliers', 'otsad' and 'anomalize' to detect time series outliers.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: otsad, tsoutliers, forecast, anomalize, dplyr, tibble, rlang, pracma, dobin, ICS, fastICA, gridExtra, grid, ggplot2, tidyr, kableExtra
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, tourr, stringr, broom, rgdal
VignetteBuilder: knitr
Depends: R (>= 3.4.0)
URL: https://sevvandi.github.io/composits/
NeedsCompilation: no
Packaged: 2020-09-28 12:29:00 UTC; Sevvandi
Author: Sevvandi Kandanaarachchi [aut, cre] (<https://orcid.org/0000-0002-0337-0395>), Patricia Menendez [aut] (<https://orcid.org/0000-0003-0701-6315>), Ursula Laa [aut] (<https://orcid.org/0000-0002-0249-6439>), Ruben Loaiza-Maya [aut] (<https://orcid.org/0000-0003-4132-8355>)
Repository: CRAN
Date/Publication: 2020-09-30 09:50:02 UTC

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New package VoxR with initial version 1.0.0
Package: VoxR
Title: Trees Geometry and Morphology from Unstructured TLS Data
Version: 1.0.0
Authors@R: person(given = "Bastien", family = "Lecigne", role = c("aut", "cre"), email = "lecignebastien@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0002-1496-202X"))
Description: Tools for 3D point cloud voxelisation, projection, geometrical and morphological description of trees (DBH, height, volume, crown diameter), analyses of temporal changes between different measurement times, distance based clustering and visualisation of 3D voxel clouds and 2D projection. Most analyses and algorithms provided in the package are based on the concept of space exploration and are described in Lecigne et al. (2018, <doi:10.1093/aob/mcx095>).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: data.table, FNN, Rfast, circular, dplyr, fastcluster, geometry, raster, rgl, grDevices
URL: https://github.com/Blecigne/VoxR
BugReports: https://github.com/Blecigne/VoxR/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-28 22:27:39 UTC; bastienlecigne
Author: Bastien Lecigne [aut, cre] (<https://orcid.org/0000-0002-1496-202X>)
Maintainer: Bastien Lecigne <lecignebastien@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-30 08:50:08 UTC

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New package treedata.table with initial version 0.1.0
Package: treedata.table
Title: Manipulation of Matched Phylogenies and Data using 'data.table'
Version: 0.1.0
Authors@R: c( person(given = "Josef", family = "Uyeda", role=c("aut"), email="juyeda@vt.edu", comment = c(ORCID="0000-0003-4624-9680") ), person(given = "Cristian", family = "Roman-Palacios", role = c("cre"), email = "cromanpa94@email.arizona.edu", comment = c(ORCID="0000-0003-4692-3225") ), person(given = "April", family = "Wright", role = c("aut"), email = "april.wright@southeastern.edu", comment = c(ORCID="0000-0003-4692-3225")), person(given = "Luke", family = "Harmon", role = c("ctb")), person(given = "Hugo", family = "Gruson", role = c("rev")), person(given = "Kari", family = "Norman", role = c("rev")) )
URL: https://docs.ropensci.org/treedata.table/ (website) https://github.com/ropensci/treedata.table/
BugReports: https://github.com/ropensci/treedata.table/issues
Description: An implementation that combines trait data and a phylogenetic tree (or trees) into a single object of class treedata.table. The resulting object can be easily manipulated to simultaneously change the trait- and tree-level sampling. Currently implemented functions allow users to use a 'data.table' syntax when performing operations on the trait dataset within the treedata.table object.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: lazyeval, ape, geiger, utils, data.table
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-27 13:09:41 UTC; cristianroman
Author: Josef Uyeda [aut] (<https://orcid.org/0000-0003-4624-9680>), Cristian Roman-Palacios [cre] (<https://orcid.org/0000-0003-4692-3225>), April Wright [aut] (<https://orcid.org/0000-0003-4692-3225>), Luke Harmon [ctb], Hugo Gruson [rev], Kari Norman [rev]
Maintainer: Cristian Roman-Palacios <cromanpa94@email.arizona.edu>
Repository: CRAN
Date/Publication: 2020-09-30 08:30:02 UTC

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New package table.glue with initial version 0.0.1
Package: table.glue
Title: Make and Apply Customized Rounding Specifications for Tables
Version: 0.0.1
Authors@R: c(person(given = "Byron", family = "Jaeger", role = c("aut", "cre"), email = "bcjaeger@uab.edu", comment = c(ORCID = "0000-0001-7399-2299")))
Description: Translate double and integer valued data into character values formatted for tabulation in manuscripts or other types of academic reports.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat, covr, knitr, rmarkdown
Imports: glue, stringi
URL: https://github.com/bcjaeger/table.glue
BugReports: https://github.com/bcjaeger/table.glue/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-27 20:14:38 UTC; bcjaeger
Author: Byron Jaeger [aut, cre] (<https://orcid.org/0000-0001-7399-2299>)
Maintainer: Byron Jaeger <bcjaeger@uab.edu>
Repository: CRAN
Date/Publication: 2020-09-30 08:40:03 UTC

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New package svyVGAM with initial version 0.222-2
Package: svyVGAM
Title: Design-Based Inference in Vector Generalised Linear Models
Version: 0.222-2
Author: Thomas Lumley
Description: Provides design-based inference for the wide range of parametric models in the 'VGAM' package.
Imports: stats, methods
Depends: VGAM, survey, R (>= 3.5.0)
Suggests: pscl, knitr, markdown, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>
NeedsCompilation: no
Packaged: 2020-09-27 20:46:56 UTC; tlum005
Repository: CRAN
Date/Publication: 2020-09-30 08:50:02 UTC

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Package skynet updated to version 1.3.9 with previous version 1.3.8 dated 2020-06-02

Title: Generates Networks from BTS Data
Description: A flexible tool that allows generating bespoke air transport statistics for urban studies based on publicly available data from the Bureau of Transport Statistics (BTS) in the United States <https://www.transtats.bts.gov/databases.asp?Mode_ID=1&Mode_Desc=Aviation&Subject_ID2=0>.
Author: Filipe Teixeira [aut, cre]
Maintainer: Filipe Teixeira <Filipe.MarquesTeixeira@Ugent.be>

Diff between skynet versions 1.3.8 dated 2020-06-02 and 1.3.9 dated 2020-09-30

 DESCRIPTION           |   12 ++++++------
 MD5                   |   26 +++++++++++++-------------
 NEWS.md               |    5 +++++
 R/download_t100.R     |    6 +++++-
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 R/import_t100.R       |    4 ++--
 README.md             |    5 ++---
 build/vignette.rds    |binary
 inst/doc/skynet.html  |   28 ++++++++++++++++++++++------
 man/import_db1b.Rd    |    2 +-
 man/import_ontime.Rd  |    2 +-
 man/import_t100.Rd    |    2 +-
 man/skynet-package.Rd |    4 ++--
 14 files changed, 62 insertions(+), 38 deletions(-)

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New package robservable with initial version 0.2.0
Package: robservable
Type: Package
Title: Import an Observable Notebook as HTML Widget
Version: 0.2.0
Date: 2020-09-23
Authors@R: c( person( "Julien", "Barnier", email = "julien.barnier@cnrs.fr", role = c("aut", "cre") ), person( "Kenton", "Russell", email = "kent.russell@timelyportfolio.com", role = "aut" ))
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>
Description: Allows loading and displaying an Observable notebook (online JavaScript notebooks powered by <https://observablehq.com>) as an HTML Widget in an R session, 'shiny' application or 'rmarkdown' document.
VignetteBuilder: knitr
URL: https://juba.github.io/robservable/
BugReports: https://github.com/juba/robservable/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Enhances: shiny
Imports: htmlwidgets, jsonlite
Suggests: gapminder, knitr, rmarkdown, readr, dplyr, tidyr, lubridate, stringr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-28 07:25:38 UTC; julien
Author: Julien Barnier [aut, cre], Kenton Russell [aut]
Repository: CRAN
Date/Publication: 2020-09-30 09:00:02 UTC

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New package rintimg with initial version 0.1.0
Package: rintimg
Type: Package
Title: View Images on Full Screen in 'RMarkdown' Documents and 'shiny' Applications
Version: 0.1.0
Authors@R: c( person("Mohamed El Fodil", "Ihaddaden", email = "ihaddaden.fodeil@gmail.com", role = c("aut", "cre")), person("Tim", "Holman", role = c("ctb", "cph"), comment = "intense-images.js library developer"))
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Description: Allows the user to view an image in full screen when clicking on it in 'RMarkdown' documents and 'shiny' applications. The package relies on the 'JavaScript' library 'intense-images'. See <https://tholman.com/intense-images/> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: htmltools, glue
RoxygenNote: 7.1.1
URL: https://github.com/feddelegrand7/rintimg
BugReports: https://github.com/feddelegrand7/rintimg/issues
NeedsCompilation: no
Packaged: 2020-09-27 21:43:50 UTC; Administrateur
Author: Mohamed El Fodil Ihaddaden [aut, cre], Tim Holman [ctb, cph] (intense-images.js library developer)
Repository: CRAN
Date/Publication: 2020-09-30 08:40:06 UTC

More information about rintimg at CRAN
Permanent link

New package MLGdata with initial version 0.1.0
Package: MLGdata
Type: Package
Title: Datasets for Use with Salvan, Sartori and Pace (2020)
Version: 0.1.0
Author: Nicola Sartori, Alessandra Salvan, Luigi Pace
Maintainer: Nicola Sartori <nicola.sartori@unipd.it>
Description: Contains the datasets for use with the book Salvan, Sartori and Pace (2020, ISBN:978-88-470-4002-1) "Modelli Lineari Generalizzati".
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-28 07:10:45 UTC; nk
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-09-30 08:50:12 UTC

More information about MLGdata at CRAN
Permanent link

Package kdensity updated to version 1.1.0 with previous version 1.0.1 dated 2019-07-11

Title: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels
Description: Handles univariate non-parametric density estimation with parametric starts and asymmetric kernels in a simple and flexible way. Kernel density estimation with parametric starts involves fitting a parametric density to the data before making a correction with kernel density estimation, see Hjort & Glad (1995) <doi:10.1214/aos/1176324627>. Asymmetric kernels make kernel density estimation more efficient on bounded intervals such as (0, 1) and the positive half-line. Supported asymmetric kernels are the gamma kernel of Chen (2000) <doi:10.1023/A:1004165218295>, the beta kernel of Chen (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the copula kernel of Jones & Henderson (2007) <doi:10.1093/biomet/asm068>. User-supplied kernels, parametric starts, and bandwidths are supported.
Author: Jonas Moss, Martin Tveten
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>

Diff between kdensity versions 1.0.1 dated 2019-07-11 and 1.1.0 dated 2020-09-30

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 kdensity-1.1.0/kdensity/R/builtin_bandwidths_get_bw.R      |    2 
 kdensity-1.1.0/kdensity/R/builtin_kernels.R                |   54 +-
 kdensity-1.1.0/kdensity/R/builtin_kernels_get_kernel.R     |    2 
 kdensity-1.1.0/kdensity/R/builtin_starts_get_start.R       |    4 
 kdensity-1.1.0/kdensity/R/builtin_starts_list.R            |  180 +++------
 kdensity-1.1.0/kdensity/R/generics.R                       |   32 +
 kdensity-1.1.0/kdensity/R/kdensity.R                       |   73 ++--
 kdensity-1.1.0/kdensity/R/kdensity_helpers.R               |    4 
 kdensity-1.1.0/kdensity/R/utility_functions.R              |    4 
 kdensity-1.1.0/kdensity/README.md                          |   80 +++-
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 36 files changed, 564 insertions(+), 531 deletions(-)

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New package localFDA with initial version 1.0.0
Package: localFDA
Type: Package
Title: Localization Processes for Functional Data Analysis
Version: 1.0.0
Date: 2020-09-24
Authors@R: c(person("Antonio", "Elías", email = "antonioefz91@gmail.com", role = c("aut", "cre")), person("Raul", "Jiménez", role = c("aut")), person("Joe", "Yukich", role = c("aut")))
Description: Implementation of a theoretically supported alternative to k-nearest neighbors for functional data to solve problems of estimating unobserved segments of a partially observed functional data sample, functional classification and outlier detection. The approximating neighbor curves are piecewise functions built from a functional sample. Instead of a distance on a function space we use a locally defined distance function that satisfies stabilization criteria. The package allows the implementation of the methodology and the replication of the results in Elías, A., Jiménez, R. and Yukich, J. (2020) <arXiv:2007.16059>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/aefdz/localFDA
BugReports: https://github.com/aefdz/localFDA
Imports: stats, graphics
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-27 14:10:55 UTC; anton
Author: Antonio Elías [aut, cre], Raul Jiménez [aut], Joe Yukich [aut]
Maintainer: Antonio Elías <antonioefz91@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-30 08:30:09 UTC

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Package GFD updated to version 0.2.8 with previous version 0.2.6 dated 2018-09-29

Title: Tests for General Factorial Designs
Description: Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors.
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich@med.uni-goettingen.de>

Diff between GFD versions 0.2.6 dated 2018-09-29 and 0.2.8 dated 2020-09-30

 GFD-0.2.6/GFD/vignettes/IntroductionToGFD.md  |only
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 GFD-0.2.8/GFD/man/curdies.Rd                  |    3 
 GFD-0.2.8/GFD/man/pizza.Rd                    |    1 
 GFD-0.2.8/GFD/man/startup.Rd                  |    3 
 14 files changed, 304 insertions(+), 178 deletions(-)

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Permanent link

New package geomultistar with initial version 1.0.0
Package: geomultistar
Type: Package
Title: Multidimensional Queries Enriched with Geographic Data
Version: 1.0.0
Authors@R: person(given = "Jose", family = "Samos", role = c("aut", "cre", "cph"), email = "jsamos@ugr.es", comment = c(ORCID = "0000-0002-4457-3439"))
Description: Multidimensional systems allow complex queries to be carried out in an easy way. The geographical dimension, together with the temporal dimension, plays a fundamental role in multidimensional systems. Through this package, vector layers can be associated to the attributes of geographic dimensions, so that the results of multidimensional queries can be obtained directly as vector layers. The multidimensional structures on which we can define the queries can be created from a flat table or imported directly using functions from this package.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.1.1
Imports: dplyr, readr, tibble, tidyr, tidyselect, starschemar, generics, purrr, sf, magrittr, rlang, pander
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-27 21:50:24 UTC; jsamos
Author: Jose Samos [aut, cre, cph] (<https://orcid.org/0000-0002-4457-3439>)
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2020-09-30 08:40:09 UTC

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Package emuR updated to version 2.1.1 with previous version 2.1.0 dated 2020-06-15

Title: Main Package of the EMU Speech Database Management System
Description: An R package that provides the EMU Speech Database Management System (EMU-SDMS) with database management, data extraction, data preparation and data visualization facilities.
Author: Raphael Winkelmann [aut, cre], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>

Diff between emuR versions 2.1.0 dated 2020-06-15 and 2.1.1 dated 2020-09-30

 DESCRIPTION                                 |   13 
 MD5                                         |  196 -
 NEWS.md                                     |  693 +--
 R/bayesdist.R                               |    2 
 R/classplot.R                               |  192 -
 R/dplot.R                                   |    7 
 R/emuR-annotations_crud.R                   | 1323 +++----
 R/emuR-bas_webservices.R                    | 1313 +++----
 R/emuR-bas_webservicesDBI.R                 | 5046 +++++++++++++--------------
 R/emuR-bundleList.R                         |  132 
 R/emuR-convert_TextGridCollection.R         |  460 +-
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 R/emuR-get_trackdata.R                      | 1146 +++---
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 R/emuR-requery.database.R                   | 1338 +++----
 R/emusegs.R                                 |    2 
 R/epg.class.R                               | 1392 +++----
 R/eplot.R                                   |    6 
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 README.md                                   |    2 
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 man/vowlax.Rd                               |   28 
 man/vowlax.df.Rd                            |   26 
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 tests/testthat/test_emuR-annotations_crud.R |   55 
 tests/testthat/test_emuR-autobuild.R        | 1768 ++++-----
 tests/testthat/test_emuR-bas_webservices.R  |  122 
 tests/testthat/test_emuR-query.database.R   | 1234 +++---
 tests/testthat/test_emuR-requery.database.R |  677 +--
 99 files changed, 14565 insertions(+), 14152 deletions(-)

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New package densEstBayes with initial version 1.0-1
Package: densEstBayes
Version: 1.0-1
Date: 2020-09-28
Title: Density Estimation via Bayesian Inference Engines
Authors@R: person("Matt P.", "Wand", role = c("aut","cre"), email = "matt.wand@uts.edu.au", comment = c(ORCID = "0000-0003-2555-896X"))
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>
Description: Bayesian density estimates for univariate continuous random samples are provided using the Bayesian inference engine paradigm. The engine options are: Hamiltonian Monte Carlo, the no U-turn sampler, semiparametric mean field variational Bayes and slice sampling. The methodology is described in Wand and Yu (2020) <arXiv:2009.06182>.
License: GPL (>= 2)
LazyData: true
Biarch: true
Depends: R (>= 3.5.0)
Imports: MASS, nlme, Rcpp, methods, rstan
LinkingTo: BH, Rcpp, RcppArmadillo, RcppEigen, RcppParallel, StanHeaders, rstan
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2020-09-27 21:42:01 UTC; mwand
Author: Matt P. Wand [aut, cre] (<https://orcid.org/0000-0003-2555-896X>)
Repository: CRAN
Date/Publication: 2020-09-30 08:50:05 UTC

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Package DCchoice updated to version 0.0.17 with previous version 0.0.16 dated 2020-02-21

Title: Analyzing Dichotomous Choice Contingent Valuation Data
Description: Functions for analyzing dichotomous choice contingent valuation (CV) data. It provides functions for estimating parametric and nonparametric models for single-, one-and-one-half-, and double-bounded CV data. For details, see Aizaki et al. (2014) <doi:10.1201/b17292>.
Author: Tomoaki Nakatani [aut, cph] (original developer), Hideo Aizaki [aut, cre] (code patches), Kazuo Sato [ctb] (theoretical part of the manual)
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between DCchoice versions 0.0.16 dated 2020-02-21 and 0.0.17 dated 2020-09-30

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 MD5                     |   18 +++++++++---------
 R/dbchoice.R            |    5 +++++
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 R/sbchoice.R            |    5 +++++
 R/turnbull_db.R         |   15 +++++++++++++--
 R/turnbull_sb.R         |   18 ++++++++++++++----
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 man/DCchoice-package.Rd |    2 +-
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 10 files changed, 84 insertions(+), 39 deletions(-)

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Package vein updated to version 0.9.0 with previous version 0.8.9 dated 2020-06-11

Title: Vehicular Emissions Inventories
Description: Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.
Author: Sergio Ibarra-Espinosa [aut, cre, wdc] (<https://orcid.org/0000-0002-3162-1905>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>

Diff between vein versions 0.8.9 dated 2020-06-11 and 0.9.0 dated 2020-09-30

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Package sommer updated to version 4.1.1 with previous version 4.1.0 dated 2020-06-16

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using i.e. the two-dimensional spline functionality available in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package RSQLite updated to version 2.2.1 with previous version 2.2.0 dated 2020-01-07

Title: 'SQLite' Interface for R
Description: Embeds the 'SQLite' database engine in R and provides an interface compliant with the 'DBI' package. The source for the 'SQLite' engine is included.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], SQLite Authors [ctb] (for the included SQLite sources), Liam Healy [ctb] (for the included SQLite sources), R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package duckdb updated to version 0.2.1-2 with previous version 0.2.1 dated 2020-09-10

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and a R Database Interface (DBI) connector.
Author: Hannes Mühleisen [aut, cre] (<https://orcid.org/0000-0001-8552-0029>), Mark Raasveldt [aut] (<https://orcid.org/0000-0001-5005-6844>), DuckDB Contributors [aut], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrochers [cph], Victor Zverovich [cph], RAD Game Tools [cph], Valve Software [cph], Rich Geldreich [cph], Tenacious Software LLC [cph], The RE2 Authors [cph], Google Inc. [cph], Steven G. Johnson [cph], Jiahao Chen [cph], Tony Kelman [cph], Jonas Fonseca [cph], Lukas Fittl [cph]
Maintainer: Hannes Mühleisen <hannes@cwi.nl>

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 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/scalar/string/like.cpp                                        |   91 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/scalar/string/nfc_normalize.cpp                               |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/scalar/string/strip_accents.cpp                               |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/scalar/string_functions.cpp                                   |    1 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/arrow.cpp                                               |   59 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/copy_csv.cpp                                            |  253 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/glob.cpp                                                |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/information_schema                                      |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/information_schema_functions.cpp                        |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/range.cpp                                               |   98 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/read_csv.cpp                                            |  124 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/repeat.cpp                                              |   39 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/sqlite/pragma_collations.cpp                            |   44 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/sqlite/pragma_database_list.cpp                         |   18 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/sqlite/pragma_table_info.cpp                            |   54 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/sqlite/sqlite_master.cpp                                |   39 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/sqlite_functions.cpp                                    |   24 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/table_scan.cpp                                          |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/function/table/version/pragma_version.cpp                              |   26 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb.h                                                       |   67 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/catalog/catalog.hpp                                     |   10 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry/list.hpp                          |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry/pragma_function_catalog_entry.hpp |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry/schema_catalog_entry.hpp          |    5 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry/view_catalog_entry.hpp            |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/enums/catalog_type.hpp                           |   22 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/enums/logical_operator_type.hpp                  |   91 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/enums/physical_operator_type.hpp                 |    8 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/enums/statement_type.hpp                         |    1 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/enums/undo_flags.hpp                             |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/file_system.hpp                                  |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/helper.hpp                                       |   16 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/mutex.hpp                                        |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/operator/comparison_operators.hpp                |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/serializer.hpp                                   |   13 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/types/date.hpp                                   |    6 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/types/string_type.hpp                            |   60 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/vector_operations/binary_executor.hpp            |    7 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/common/vector_operations/unary_executor.hpp             |    6 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/aggregate_hashtable.hpp                       |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/executor.hpp                                  |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/expression_executor_state.hpp                 |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/index/art/art.hpp                             |   27 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_pragma.hpp           |   11 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_delim_join.hpp         |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/operator/list.hpp                             |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/buffered_csv_reader.hpp   |   17 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/physical_delete.hpp       |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/operator/scan/physical_table_scan.hpp         |   27 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/operator/set/physical_recursive_cte.hpp       |    8 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/physical_operator.hpp                         |   17 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/execution/physical_plan_generator.hpp                   |    5 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/copy_function.hpp                              |    7 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/function.hpp                                   |   11 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/pragma                                         |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/pragma_function.hpp                            |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/scalar/strftime.hpp                            |   93 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/scalar/string_functions.hpp                    |    7 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/table/information_schema_functions.hpp         |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/table/range.hpp                                |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/table/read_csv.hpp                             |   42 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/table/table_scan.hpp                           |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/function/table_function.hpp                             |  131 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/main/client_context.hpp                                 |   11 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/main/connection.hpp                                     |   17 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/main/database.hpp                                       |    1 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/main/relation/read_csv_relation.hpp                     |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/optimizer/filter_combiner.hpp                           |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parallel/parallel_state.hpp                             |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parallel/pipeline.hpp                                   |   23 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parallel/task_context.hpp                               |    9 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/alter_table_info.hpp                 |   12 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/create_aggregate_function_info.hpp   |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/create_copy_function_info.hpp        |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/create_function_info.hpp             |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/create_info.hpp                      |    8 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/create_pragma_function_info.hpp      |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/create_scalar_function_info.hpp      |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/pragma_info.hpp                      |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/qualified_name.hpp                               |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/query_node/recursive_cte_node.hpp                |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/statement/call_statement.hpp                     |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/statement/list.hpp                               |    1 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/statement/select_statement.hpp                   |    7 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/tokens.hpp                                       |    1 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/parser/transformer.hpp                                  |   11 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/bind_context.hpp                                |    6 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/binder.hpp                                      |    8 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/logical_tokens.hpp                              |    5 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/operator/list.hpp                               |    5 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/operator/logical_dummy_scan.hpp                 |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/operator/logical_get.hpp                        |   24 
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 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/pragma_handler.hpp                              |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/table_binding.hpp                               |   51 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/tableref/bound_basetableref.hpp                 |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/planner/tableref/bound_table_function.hpp               |   22 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/storage/data_table.hpp                                  |   39 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/storage/index.hpp                                       |   12 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/storage/table/chunk_info.hpp                            |   21 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/include/duckdb/storage/table/scan_state.hpp                            |   16 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/client_context.cpp                                                |   53 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/connection.cpp                                                    |   18 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/database.cpp                                                      |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/duckdb-c.cpp                                                      |    9 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/query_profiler.cpp                                                |    5 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/query_result.cpp                                                  |    9 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/relation/create_table_relation.cpp                                |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/relation/create_view_relation.cpp                                 |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/main/relation/read_csv_relation.cpp                                    |   26 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/optimizer/expression_heuristics.cpp                                    |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/optimizer/filter_combiner.cpp                                          |   39 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/optimizer/join_order_optimizer.cpp                                     |    6 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/optimizer/optimizer.cpp                                                |    7 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/optimizer/pushdown/pushdown_get.cpp                                    |   71 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/optimizer/remove_unused_columns.cpp                                    |   32 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parallel/executor.cpp                                                  |   58 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parallel/pipeline.cpp                                                  |   54 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/parsed_data/alter_table_info.cpp                                |    8 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/parser.cpp                                                      |   25 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/query_node/recursive_cte_node.cpp                               |    3 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/statement/select_statement.cpp                                  |   21 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/tableref/subqueryref.cpp                                        |   13 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/tableref/table_function.cpp                                     |    5 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/helpers/nodetype_to_string.cpp                        |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/helpers/transform_cte.cpp                             |   34 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_alter_table.cpp                   |   15 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_call.cpp                          |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_create_index.cpp                  |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_create_schema.cpp                 |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_create_sequence.cpp               |   12 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_create_table.cpp                  |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_create_table_as.cpp               |   12 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_create_view.cpp                   |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_import.cpp                        |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_insert.cpp                        |   10 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_pragma.cpp                        |    6 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_rename.cpp                        |   19 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_select.cpp                        |   14 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/statement/transform_show.cpp                          |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transform/tableref/transform_base_tableref.cpp                  |   21 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/parser/transformer.cpp                                                 |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/bind_context.cpp                                               |   14 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder.cpp                                                     |   12 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/query_node/bind_recursive_cte_node.cpp                  |   38 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/statement/bind_call.cpp                                 |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/statement/bind_copy.cpp                                 |   13 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/statement/bind_create.cpp                               |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/statement/bind_delete.cpp                               |   10 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/statement/bind_pragma.cpp                               |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/statement/bind_simple.cpp                               |   24 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/statement/bind_update.cpp                               |    7 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/tableref/bind_basetableref.cpp                          |   26 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/tableref/bind_table_function.cpp                        |   39 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/tableref/plan_dummytableref.cpp                         |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/tableref/plan_expressionlistref.cpp                     |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/tableref/plan_joinref.cpp                               |   95 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/binder/tableref/plan_table_function.cpp                        |    9 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/joinside.cpp                                                   |    5 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/operator/logical_get.cpp                                       |   34 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/planner.cpp                                                    |    1 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/pragma_handler.cpp                                             |only
 duckdb-0.2.1-2/duckdb/src/duckdb/src/planner/table_binding.cpp                                              |  113 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/checkpoint/table_data_writer.cpp                               |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/checkpoint_manager.cpp                                         |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/column_data.cpp                                                |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/data_table.cpp                                                 |  146 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/meta_block_reader.cpp                                          |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/meta_block_writer.cpp                                          |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/single_file_block_manager.cpp                                  |   34 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/string_segment.cpp                                             |   21 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/table/chunk_info.cpp                                           |   65 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/table/version_manager.cpp                                      |   16 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/storage/uncompressed_segment.cpp                                       |   56 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/transaction/cleanup_state.cpp                                          |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/transaction/commit_state.cpp                                           |    9 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/transaction/rollback_state.cpp                                         |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/transaction/transaction.cpp                                            |    4 
 duckdb-0.2.1-2/duckdb/src/duckdb/src/transaction/undo_buffer.cpp                                            |   18 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/libpg_query/include/nodes/nodes.hpp                            |    1 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/libpg_query/include/nodes/parsenodes.hpp                       |   16 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/libpg_query/include/parser/gram.hpp                            | 1610 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/libpg_query/include/parser/kwlist.hpp                          |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/libpg_query/pg_functions.cpp                                   |    8 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/libpg_query/src_backend_parser_gram.cpp                        |25758 +++++-----
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/miniz/miniz.hpp                                                |    2 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/re2/re2/prog.h                                                 |   24 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/re2/re2/regexp.h                                               |   46 
 duckdb-0.2.1-2/duckdb/src/duckdb/third_party/re2/re2/walker-inl.h                                           |    9 
 duckdb-0.2.1-2/duckdb/src/duckdbr.cpp                                                                       |   57 
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Package diagram updated to version 1.6.5 with previous version 1.6.4 dated 2017-08-16

Title: Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams
Description: Visualises simple graphs (networks) based on a transition matrix, utilities to plot flow diagrams, visualising webs, electrical networks, etc. Support for the book "A practical guide to ecological modelling - using R as a simulation platform" by Karline Soetaert and Peter M.J. Herman (2009), Springer. and the book "Solving Differential Equations in R" by Karline Soetaert, Jeff Cash and Francesca Mazzia (2012), Springer. Includes demo(flowchart), demo(plotmat), demo(plotweb).
Author: Karline Soetaert <karline.soetaert@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between diagram versions 1.6.4 dated 2017-08-16 and 1.6.5 dated 2020-09-30

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Package chest updated to version 0.3.4 with previous version 0.3.3 dated 2020-07-12

Title: Change-in-Estimate Approach to Assess Confounding Effects
Description: Applies the change-in-effect estimate method to assess confounding effects in medical and epidemiological research (Greenland & Pearce (2016) <doi:10.1146/annurev-publhealth-031914-122559> ). It starts with a crude model including only the outcome and exposure variables. At each of the subsequent steps, one variable which creates the largest change among the remaining variables is selected. This process is repeated until all variables have been entered into the model (Wang Z (2007) <doi:10.1177/1536867X0700700203> ). Currently, the 'chest' package has functions for linear regression, logistic regression, negative binomial regression, Cox proportional hazards model and conditional logistic regression.
Author: Zhiqiang Wang [aut, cre]
Maintainer: Zhiqiang Wang <zhiqiang.wang@menzies.edu.au>

Diff between chest versions 0.3.3 dated 2020-07-12 and 0.3.4 dated 2020-09-30

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Package tidytable updated to version 0.5.6 with previous version 0.5.5 dated 2020-09-02

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible, giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre], Tyson Barrett [ctb], Ivan Leung [ctb], Ross Kennedy [ctb], Lionel Henry [ctb], Matt Carlson [ctb], Abdessabour Moutik [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

Diff between tidytable versions 0.5.5 dated 2020-09-02 and 0.5.6 dated 2020-09-30

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Package multiclassPairs updated to version 0.2.1 with previous version 0.2.0 dated 2020-09-28

Title: Build MultiClass Pair-Based Classifiers using TSPs or RF
Description: A toolbox to train a single sample classifier that uses in-sample feature relationships. The relationships are represented as feature1 < feature2 (e.g. gene1 < gene2). We provide two options to go with. First is based on 'switchBox' package which uses Top-score pairs algorithm. Second is a novel implementation based on random forest algorithm. For simple problems we recommend to use one-vs-rest using TSP option due to its simplicity and for being easy to interpret. For complex problems RF performs better. Both lines filter the features first then combine the filtered features to make the list of all the possible rules (i.e. rule1: feature1 < feature2, rule2: feature1 < feature3, etc...). Then the list of rules will be filtered and the most important and informative rules will be kept. The informative rules will be assembled in an one-vs-rest model or in an RF model. We provide a detailed description with each function in this package to explain the filtration and training methodology in each line.
Author: Nour-al-dain Marzouka
Maintainer: Nour-al-dain Marzouka <Nour-al-dain.Marzouka@med.lu.se>

Diff between multiclassPairs versions 0.2.0 dated 2020-09-28 and 0.2.1 dated 2020-09-30

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Package fgdr updated to version 1.1.0 with previous version 1.0.1 dated 2020-05-06

Title: Utilities for Fundamental Geo-Spatial Data
Description: Read and Parse for Fundamental Geo-Spatial Data (FGD) which downloads XML file from providing site (<https://fgd.gsi.go.jp/download/menu.php>). The JPGIS format file provided by FGD so that it can be handled as an R spatial object such as 'sf' and 'raster', 'terra' or 'stars'. Supports the FGD version 4.1, and accepts fundamental items and digital elevation models.
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>)
Maintainer: Shinya Uryu <suika1127@gmail.com>

Diff between fgdr versions 1.0.1 dated 2020-05-06 and 1.1.0 dated 2020-09-30

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Package canvasXpress updated to version 1.29.6 with previous version 1.27.6-1 dated 2020-04-11

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between canvasXpress versions 1.27.6-1 dated 2020-04-11 and 1.29.6 dated 2020-09-30

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More information about canvasXpress at CRAN
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