Tue, 16 Nov 2021

Package spray updated to version 1.0-16 with previous version 1.0-11 dated 2021-02-14

Title: Sparse Arrays and Multivariate Polynomials
Description: Sparse arrays interpreted as multivariate polynomials.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package tidySEM updated to version 0.2.0 with previous version 0.1.10 dated 2021-07-13

Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan', 'OpenMx', or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize.
Author: Caspar J. van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>)
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>

Diff between tidySEM versions 0.1.10 dated 2021-07-13 and 0.2.0 dated 2021-11-16

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Package servr updated to version 0.24 with previous version 0.23 dated 2021-08-11

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb], Romain Lesur [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between servr versions 0.23 dated 2021-08-11 and 0.24 dated 2021-11-16

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Package SEMgraph updated to version 1.0.4 with previous version 1.0.3 dated 2021-07-08

Title: Network Analysis and Causal Inference Through Structural Equation Modeling
Description: Estimate networks and causal relationships in complex systems through Structural Equation Modeling. This package also includes functions to import, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework described in Palluzzi and Grassi (2021) <arXiv:2103.08332>.
Author: Mario Grassi [aut], Fernando Palluzzi [aut, cre], Daniele Pepe [ctb]
Maintainer: Fernando Palluzzi <fernando.palluzzi@gmail.com>

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Package JumpeR updated to version 0.3.0 with previous version 0.1.4 dated 2021-03-07

Title: Importing and Working with Track and Field Data
Description: Primarily used to convert human readable track and field results into dataframes for further analysis. Results can come from central repositories like <https://www.flashresults.com/> or <http://www.deltatiming.com/>, or from individual team sites, like those for colleges. Also contains functions useful for working with track and field data.
Author: Greg Pilgrim [aut, cre] (<https://orcid.org/0000-0001-7831-442X>), George Perry [ctb]
Maintainer: Greg Pilgrim <gpilgrim2670@gmail.com>

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Package robust updated to version 0.6-1 with previous version 0.6-0 dated 2021-10-25

Title: Port of the S+ "Robust Library"
Description: Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.
Author: Jiahui Wang, Ruben Zamar <ruben@stat.ubc.ca>, Alfio Marazzi <Alfio.Marazzi@inst.hospvd.ch>, Victor Yohai <vyohai@dm.uba.ar>, Matias Salibian-Barrera <matias@stat.ubc.ca>, Ricardo Maronna <maron@mate.unlp.edu.ar>, Eric Zivot <ezivot@u.washington.edu>, David Rocke <dmrocke@ucdavis.edu>, Doug Martin, Martin Maechler <maechler@stat.math.ethz.ch>, Kjell Konis <kjell.konis@me.com>.
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

Diff between robust versions 0.6-0 dated 2021-10-25 and 0.6-1 dated 2021-11-16

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Package officedown updated to version 0.2.3 with previous version 0.2.2 dated 2021-04-05

Title: Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Description: Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting defined in 'Microsoft Word' documents. You can reuse table styles, list styles but also add column sections, landscape oriented pages. Table and image captions as well as cross-references are transformed into 'Microsoft Word' fields, allowing documents edition and merging without issue with references; the syntax conforms to the 'bookdown' cross-reference definition. Objects generated by the 'officer' package are also supported in the 'knitr' chunks. 'Microsoft PowerPoint' presentations also benefit from this as well as the ability to produce editable vector graphics in 'PowerPoint' and also to define placeholder where content is to be added.
Author: David Gohel [aut, cre, cph], Institut für Qualitätssicherung und Transparenz im Gesundheitswesen [fnd], Noam Ross [aut] (rmarkdown implementation for rvg), ArData [cph], Martin Camitz [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package WeMix updated to version 3.2.0 with previous version 3.1.9 dated 2021-10-20

Title: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation
Description: Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels.
Author: Emmanuel Sikali [pdr], Paul Bailey [aut, cre], Claire Kelley [aut], Trang Nguyen [aut], Huade Huo [aut], Eric Buehler [ctb], Christian Kjeldsen [ctb]
Maintainer: Paul Bailey <pbailey@air.org>

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Package Ostats updated to version 0.1.1 with previous version 0.1.0 dated 2021-07-26

Title: O-Stats, or Pairwise Community-Level Niche Overlap Statistics
Description: O-statistics, or overlap statistics, measure the degree of community-level trait overlap. They are estimated by fitting nonparametric kernel density functions to each species’ trait distribution and calculating their areas of overlap. For instance, the median pairwise overlap for a community is calculated by first determining the overlap of each species pair in trait space, and then taking the median overlap of each species pair in a community. This median overlap value is called the O-statistic (O for overlap). The Ostats() function calculates separate univariate overlap statistics for each trait, while the Ostats_multivariate() function calculates a single multivariate overlap statistic for all traits. O-statistics can be evaluated against null models to obtain standardized effect sizes. 'Ostats' is part of the collaborative Macrosystems Biodiversity Project "Local- to continental-scale drivers of biodiversity across the National Ecological Observatory Network (NEON)." For more information on this project, see the Macrosystems Biodiversity Website (<https://neon-biodiversity.github.io/>). Calculation of O-statistics is described in Read et al. (2018) <doi:10.1111/ecog.03641>, and a teaching module for introducing the underlying biological concepts at an undergraduate level is described in Grady et al. (2018) <http://tiee.esa.org/vol/v14/issues/figure_sets/grady/abstract.html>.
Author: Quentin D. Read [aut, cre], Arya Yue [aut], Isadora E. Fluck [aut], Benjamin Baiser [aut], John M. Grady [aut], Phoebe L. Zarnetske [aut], Sydne Record [aut]
Maintainer: Quentin D. Read <quentin.read@usda.gov>

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Package landpred updated to version 1.1 with previous version 1.0 dated 2014-10-18

Title: Landmark Prediction of a Survival Outcome
Description: Provides functions for landmark prediction of a survival outcome incorporating covariate and short-term event information. For more information about landmark prediction please see: Parast, Layla, Su-Chun Cheng, and Tianxi Cai. Incorporating short-term outcome information to predict long-term survival with discrete markers. Biometrical Journal 53.2 (2011): 294-307, <doi:10.1002/bimj.201000150>.
Author: Layla Parast
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package hermiter updated to version 2.1.0 with previous version 2.0.3 dated 2021-02-17

Title: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Spearman's Correlation (Bivariate)
Description: Facilitates estimation of full univariate and bivariate probability density functions and cumulative distribution functions along with full quantile functions (univariate) and nonparametric correlation (bivariate) using Hermite series based estimators. These estimators are particularly useful in the sequential setting (both stationary and non-stationary) and one-pass batch estimation setting for large data sets. Based on: Stephanou, Michael, Varughese, Melvin and Macdonald, Iain. "Sequential quantiles via Hermite series density estimation." Electronic Journal of Statistics 11.1 (2017): 570-607 <doi:10.1214/17-EJS1245>, Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z> and Stephanou, Michael and Varughese, Melvin. "Sequential estimation of Spearman rank correlation using Hermite series estimators." Journal of Multivariate Analysis (2021) <doi:10.1016/j.jmva.2021.104783>.
Author: Michael Stephanou [aut, cre], Melvin Varughese [ctb]
Maintainer: Michael Stephanou <michael.stephanou@gmail.com>

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Package duckdb updated to version 0.3.1 with previous version 0.3.0 dated 2021-10-08

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], Facebook Inc. [cph], Steven G. Johnson [cph], Jiahao Chen [cph], Tony Kelman [cph], Jonas Fonseca [cph], Lukas Fittl [cph], Salvatore Sanfilippo [cph], Art.sy, Inc. [cph], Oran Agra [cph], Redis Labs, Inc. [cph], Melissa O'Neill [cph], PCG Project contributors [cph]
Maintainer: Hannes Mühleisen <hannes@cwi.nl>

Diff between duckdb versions 0.3.0 dated 2021-10-08 and 0.3.1 dated 2021-11-16

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 duckdb-0.3.1/duckdb/DESCRIPTION                                                                                   |    6 
 duckdb-0.3.1/duckdb/MD5                                                                                           |  902 
 duckdb-0.3.1/duckdb/NAMESPACE                                                                                     |    1 
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 duckdb-0.3.1/duckdb/R/Result.R                                                                                    |    5 
 duckdb-0.3.1/duckdb/R/register.R                                                                                  |   35 
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 duckdb-0.3.1/duckdb/man/duckdb_result-class.Rd                                                                    |    2 
 duckdb-0.3.1/duckdb/src/connection.cpp                                                                            |   22 
 duckdb-0.3.1/duckdb/src/database.cpp                                                                              |   28 
 duckdb-0.3.1/duckdb/src/duckdb/amalgamation-1.cpp                                                                 |    4 
 duckdb-0.3.1/duckdb/src/duckdb/amalgamation-2.cpp                                                                 |    8 
 duckdb-0.3.1/duckdb/src/duckdb/amalgamation-3.cpp                                                                 |   12 
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 duckdb-0.3.1/duckdb/src/duckdb/amalgamation-5.cpp                                                                 |   24 
 duckdb-0.3.1/duckdb/src/duckdb/amalgamation-6.cpp                                                                 |   16 
 duckdb-0.3.1/duckdb/src/duckdb/amalgamation-7.cpp                                                                 |   12 
 duckdb-0.3.1/duckdb/src/duckdb/amalgamation-8.cpp                                                                 |    4 
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 duckdb-0.3.1/duckdb/src/duckdb/extension/parquet/parquet_reader.cpp                                               |   36 
 duckdb-0.3.1/duckdb/src/duckdb/src/catalog/catalog.cpp                                                            |   29 
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 duckdb-0.3.1/duckdb/src/duckdb/src/catalog/catalog_set.cpp                                                        |   47 
 duckdb-0.3.1/duckdb/src/duckdb/src/catalog/default/default_functions.cpp                                          |    6 
 duckdb-0.3.1/duckdb/src/duckdb/src/catalog/dependency_manager.cpp                                                 |   47 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/arrow_wrapper.cpp                                                       |   24 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/enums/catalog_type.cpp                                                  |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/enums/compression_type.cpp                                              |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/enums/expression_type.cpp                                               |    2 
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 duckdb-0.3.1/duckdb/src/duckdb/src/common/enums/physical_operator_type.cpp                                        |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/local_file_system.cpp                                                   |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/operator/cast_operators.cpp                                             |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/printer.cpp                                                             |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/radix.cpp                                                               |   12 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/sort/comparators.cpp                                                    |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/sort/radix_sort.cpp                                                     |  144 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/sort/sort_state.cpp                                                     |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/tree_renderer.cpp                                                       |  100 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/types.cpp                                                               |  267 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/types/chunk_collection.cpp                                              |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/types/data_chunk.cpp                                                    |   43 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/types/hugeint.cpp                                                       |   38 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/types/interval.cpp                                                      |   35 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/types/value.cpp                                                         |   84 
 duckdb-0.3.1/duckdb/src/duckdb/src/common/types/vector.cpp                                                        |   39 
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 duckdb-0.3.1/duckdb/src/duckdb/src/execution/aggregate_hashtable.cpp                                              |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/execution/expression_executor.cpp                                              |   15 
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 duckdb-0.3.1/duckdb/src/duckdb/src/execution/join_hashtable.cpp                                                   |    2 
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 duckdb-0.3.1/duckdb/src/duckdb/src/execution/physical_plan/plan_create.cpp                                        |   14 
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 duckdb-0.3.1/duckdb/src/duckdb/src/execution/physical_plan/plan_expression_get.cpp                                |   20 
 duckdb-0.3.1/duckdb/src/duckdb/src/execution/physical_plan_generator.cpp                                          |    1 
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 duckdb-0.3.1/duckdb/src/duckdb/src/function/aggregate/distributive/sum.cpp                                        |   32 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/aggregate/holistic/quantile.cpp                                       |  859 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/aggregate/nested/list.cpp                                             |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/aggregate/sorted_aggregate_function.cpp                               |    8 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/compression_config.cpp                                                |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/function.cpp                                                          |   28 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/pragma/pragma_functions.cpp                                           |   20 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/list/list_concat.cpp                                           |only
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/list/list_extract.cpp                                          |   16 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/math/numeric.cpp                                               |   36 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/math_functions.cpp                                             |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/nested_functions.cpp                                           |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/operators/arithmetic.cpp                                       |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/string/chr.cpp                                                 |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/string/concat.cpp                                              |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/string/length.cpp                                              |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/string/printf.cpp                                              |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/string/regexp.cpp                                              |  105 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/string_functions.cpp                                           |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/struct/struct_extract.cpp                                      |   14 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/system/system_functions.cpp                                    |   21 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/scalar/uuid                                                           |only
 duckdb-0.3.1/duckdb/src/duckdb/src/function/table/arrow.cpp                                                       |   59 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/table/range.cpp                                                       |   20 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/table/read_csv.cpp                                                    |   11 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/table/table_scan.cpp                                                  |   18 
 duckdb-0.3.1/duckdb/src/duckdb/src/function/table/version/pragma_version.cpp                                      |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/catalog/catalog.hpp                                             |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry/schema_catalog_entry.hpp                  |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry/type_catalog_entry.hpp                    |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_search_path.hpp                                 |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_set.hpp                                         |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/arrow_wrapper.hpp                                        |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/catalog_type.hpp                                   |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/compression_type.hpp                               |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/expression_type.hpp                                |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/logical_operator_type.hpp                          |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/operator_result_type.hpp                           |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/physical_operator_type.hpp                         |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/wal_type.hpp                                       |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/enums/window_aggregation_mode.hpp                        |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/operator/abs.hpp                                         |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/serializer.hpp                                           |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/sort/sort.hpp                                            |    7 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/stack.hpp                                                |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/tree_renderer.hpp                                        |   39 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/types.hpp                                                |   40 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/types/data_chunk.hpp                                     |   15 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/types/hugeint.hpp                                        |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/types/interval.hpp                                       |   12 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/types/selection_vector.hpp                               |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/types/value.hpp                                          |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/common/types/vector.hpp                                         |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/aggregate_hashtable.hpp                               |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/execution_context.hpp                                 |    6 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/executor.hpp                                          |   80 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/expression_executor.hpp                               |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/join_hashtable.hpp                                    |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/aggregate/physical_hash_aggregate.hpp        |   65 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/aggregate/physical_perfecthash_aggregate.hpp |   32 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/aggregate/physical_simple_aggregate.hpp      |   44 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/aggregate/physical_window.hpp                |   49 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/filter/physical_filter.hpp                   |   15 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_execute.hpp                  |   10 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_limit.hpp                    |   21 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_load.hpp                     |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_pragma.hpp                   |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_prepare.hpp                  |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_reservoir_sample.hpp         |   27 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_set.hpp                      |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_streaming_sample.hpp         |   16 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_transaction.hpp              |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_vacuum.hpp                   |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/perfect_hash_join_executor.hpp          |   42 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_blockwise_nl_join.hpp          |   48 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_cross_product.hpp              |   34 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_delim_join.hpp                 |   27 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_hash_join.hpp                  |   85 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_index_join.hpp                 |   23 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_join.hpp                       |    6 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_nested_loop_join.hpp           |   56 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_piecewise_merge_join.hpp       |   56 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/order/physical_order.hpp                     |   33 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/order/physical_top_n.hpp                     |   36 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/physical_copy_to_file.hpp         |   33 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/physical_delete.hpp               |   28 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/physical_export.hpp               |   17 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/physical_insert.hpp               |   38 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/physical_update.hpp               |   31 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/projection/physical_projection.hpp           |   15 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/projection/physical_tableinout_function.hpp  |   10 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/projection/physical_unnest.hpp               |   11 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/scan/physical_chunk_scan.hpp                 |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/scan/physical_dummy_scan.hpp                 |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/scan/physical_empty_result.hpp               |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/scan/physical_expression_scan.hpp            |   22 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/scan/physical_table_scan.hpp                 |   14 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_alter.hpp                    |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_function.hpp          |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_index.hpp             |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_schema.hpp            |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_sequence.hpp          |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_table.hpp             |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_table_as.hpp          |   23 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_type.hpp              |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_create_view.hpp              |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/schema/physical_drop.hpp                     |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/set/physical_recursive_cte.hpp               |   20 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/operator/set/physical_union.hpp                       |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/physical_operator.hpp                                 |  161 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/radix_partitioned_hashtable.hpp                       |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/execution/window_segment_tree.hpp                               |   15 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/aggregate/sum_helpers.hpp                              |   51 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/aggregate_function.hpp                                 |   11 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/scalar/math_functions.hpp                              |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/scalar/nested_functions.hpp                            |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/scalar/regexp.hpp                                      |   12 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/scalar/uuid_functions.hpp                              |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/table/arrow.hpp                                        |    7 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/function/table_function.hpp                                     |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/main/config.hpp                                                 |    7 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/main/connection.hpp                                             |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/main/extension_helper.hpp                                       |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/main/query_profiler.hpp                                         |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/main/query_result.hpp                                           |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/main/relation.hpp                                               |    6 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/main/relation/table_function_relation.hpp                       |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/expression_rewriter.hpp                               |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/matcher/expression_matcher.hpp                        |   16 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/matcher/type_matcher.hpp                              |   18 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/matcher/type_matcher_id.hpp                           |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule.hpp                                              |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/arithmetic_simplification.hpp                    |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/case_simplification.hpp                          |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/comparison_simplification.hpp                    |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/conjunction_simplification.hpp                   |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/constant_folding.hpp                             |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/date_part_simplification.hpp                     |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/distributivity.hpp                               |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/empty_needle_removal.hpp                         |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/enum_comparison.hpp                              |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/in_clause_simplification.hpp                     |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/like_optimizations.hpp                           |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/list.hpp                                         |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/optimizer/rule/move_constants.hpp                               |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parallel/event.hpp                                              |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parallel/pipeline.hpp                                           |   97 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parallel/pipeline_complete_event.hpp                            |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parallel/pipeline_event.hpp                                     |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parallel/pipeline_executor.hpp                                  |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parallel/pipeline_finish_event.hpp                              |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parallel/task.hpp                                               |   18 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parser/column_definition.hpp                                    |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parser/group_by_node.hpp                                        |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/create_type_info.hpp                         |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parser/query_node/select_node.hpp                               |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/parser/transformer.hpp                                          |   78 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/binder.hpp                                              |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/expression/bound_case_expression.hpp                    |   14 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/expression_binder.hpp                                   |    5 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/expression_binder/column_alias_binder.hpp               |only
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/expression_binder/having_binder.hpp                     |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/expression_binder/select_binder.hpp                     |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/expression_binder/where_binder.hpp                      |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/filter/conjunction_filter.hpp                           |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/filter/constant_filter.hpp                              |    1 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/operator/logical_aggregate.hpp                          |    8 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/query_node/bound_select_node.hpp                        |   16 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/planner/table_filter.hpp                                        |   28 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/buffer_manager.hpp                                      |   10 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/checkpoint/table_data_writer.hpp                        |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/checkpoint_manager.hpp                                  |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/data_table.hpp                                          |   16 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/storage_info.hpp                                        |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/table/column_data.hpp                                   |    8 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/table/column_data_checkpointer.hpp                      |    4 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/table/list_column_data.hpp                              |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/table/standard_column_data.hpp                          |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/table/struct_column_data.hpp                            |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/storage/write_ahead_log.hpp                                     |    3 
 duckdb-0.3.1/duckdb/src/duckdb/src/include/duckdb/transaction/local_storage.hpp                                   |    2 
 duckdb-0.3.1/duckdb/src/duckdb/src/main/connection.cpp                                                            |   12 
 duckdb-0.3.1/duckdb/src/duckdb/src/main/database.cpp                                                              |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/main/extension_helper.cpp                                                      |only
 duckdb-0.3.1/duckdb/src/duckdb/src/main/query_profiler.cpp                                                        |   41 
 duckdb-0.3.1/duckdb/src/duckdb/src/main/relation.cpp                                                              |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/main/relation/aggregate_relation.cpp                                           |    9 
 duckdb-0.3.1/duckdb/src/duckdb/src/main/relation/table_function_relation.cpp                                      |   21 
 duckdb-0.3.1/duckdb/src/duckdb/src/optimizer/expression_heuristics.cpp                                            |    8 
 duckdb-0.3.1/duckdb/src/duckdb/src/optimizer/expression_rewriter.cpp                                              |    6 
 duckdb-0.3.1/duckdb/src/duckdb/src/optimizer/filter_combiner.cpp                                                  |    5 
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 duckdb-0.3.1/duckdb/src/duckdb/src/parser/transformer.cpp                                                         |   24 
 duckdb-0.3.1/duckdb/src/duckdb/src/planner/binder.cpp                                                             |   12 
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Package logr updated to version 1.2.7 with previous version 1.2.6 dated 2021-10-04

Title: Creates Log Files
Description: Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Author: David Bosak [aut, cre]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between logr versions 1.2.6 dated 2021-10-04 and 1.2.7 dated 2021-11-16

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Package greeks updated to version 0.4.0 with previous version 0.3.1 dated 2021-08-06

Title: Sensitivities of Prices of Financial Options
Description: Methods to calculate sensitivities of financial option prices for European, Asian, American and Digital Options options in the Black Scholes model. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017). Options, Futures, and Other Derivatives, Global Edition (9th Edition). Pearson. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2016). European and Asian Greeks for exponential Lévy processes. <arXiv:1603.00920>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre] (<https://orcid.org/0000-0002-5652-2815>)
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 0.3.1 dated 2021-08-06 and 0.4.0 dated 2021-11-16

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Package popdemo updated to version 1.3-1 with previous version 1.3-0 dated 2018-03-17

Title: Demographic Modelling Using Projection Matrices
Description: Tools for modelling populations and demography using matrix projection models, with deterministic and stochastic model implementations. Includes population projection, indices of short- and long-term population size and growth, perturbation analysis, convergence to stability or stationarity, and diagnostic and manipulation tools.
Author: Iain Stott [aut, cre], Dave Hodgson [aut], Stuart Townley [aut], Stephen Ellner [ctb]
Maintainer: Iain Stott <iainmstott@gmail.com>

Diff between popdemo versions 1.3-0 dated 2018-03-17 and 1.3-1 dated 2021-11-16

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Package skmeans updated to version 0.2-14 with previous version 0.2-13 dated 2020-12-03

Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Ingo Feinerer [aut], Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package mlr3 updated to version 0.13.0 with previous version 0.12.0 dated 2021-08-05

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package WikidataR updated to version 2.3.3 with previous version 2.3.1 dated 2021-07-12

Title: Read-Write API Client Library for Wikidata
Description: Read from, interogate, and write to Wikidata <https://www.wikidata.org> - the multilingual, interdisciplinary, semantic knowledgebase. Includes functions to: read from wikidata (single items, properties, or properties); query wikidata (retrieving all items that match a set of criterial via Wikidata SPARQL query service); write to Wikidata (adding new items or statements via QuickStatements); and handle and manipulate Wikidata objects (as lists and tibbles). Uses the Wikidata and Quickstatements APIs.
Author: Thomas Shafee [aut, cre] (<https://orcid.org/0000-0002-2298-7593>), Os Keyes [aut] (<https://orcid.org/0000-0001-5196-609X>), Serena Signorelli [aut], Alex Lum [ctb] (<https://orcid.org/0000-0002-9295-9053>), Christian Graul [ctb], Mikhail Popov [ctb] (<https://orcid.org/0000-0003-0145-8948>)
Maintainer: Thomas Shafee <T.Shafee@latrobe.edu.au>

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Package rgoogleads updated to version 0.4.0 with previous version 0.3.0 dated 2021-09-03

Title: Loading Data from 'Google Ads API'
Description: Interface for loading data from 'Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>), Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package mlr3misc updated to version 0.9.5 with previous version 0.9.4 dated 2021-09-08

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package FRK updated to version 2.0.2 with previous version 2.0.1 dated 2021-10-11

Title: Fixed Rank Kriging
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach models the field, and hence the covariance function, using a set of r basis functions, where r is typically much smaller than the number of data points (or polygons) m. This low-rank basis-function representation facilitates the modelling of 'big' spatial/spatio-temporal data. The method naturally allows for non-stationary, anisotropic covariance functions. Discretisation of the spatial domain into so-called basic areal units (BAUs) facilitates the use of observations with varying support (i.e., both point-referenced and areal supports, potentially simultaneously), and prediction over arbitrary user-specified regions. `FRK` also supports inference over various manifolds, including the 2D plane and 3D sphere, and it provides helper functions to model, fit, predict, and plot with relative ease. Version 2.0.0 and above of the package `FRK` also supports modelling of non-Gaussian data, by employing a spatial generalised linear mixed model (GLMM) framework to cater for Poisson, binomial, negative-binomial, gamma, and inverse-Gaussian distributions. Zammit-Mangion and Cressie <doi:10.18637/jss.v098.i04> describe `FRK` in a Gaussian setting, and detail its use of basis functions and BAUs.
Author: Andrew Zammit-Mangion [aut, cre], Matthew Sainsbury-Dale [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

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Package deepdep updated to version 0.2.5.4 with previous version 0.2.5.3 dated 2021-06-07

Title: Visualise and Explore the Deep Dependencies of R Packages
Description: Provides tools for exploration of R package dependencies. The main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way. It also adds some popularity measures for the packages e.g. in the form of download count through the 'cranlogs' package. Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor metadata <http://bioconductor.org>. Other data acquire functions are: get_dependencies(), get_downloads() and get_description(). The deepdep_shiny() function runs shiny application that helps to produce a nice 'deepdep' plot.
Author: Dominik Rafacz [aut, cre] (<https://orcid.org/0000-0003-0925-1909>), Hubert Baniecki [aut], Szymon Maksymiuk [aut], Mateusz Bakala [aut]
Maintainer: Dominik Rafacz <dominikrafacz@gmail.com>

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Package bayesDP updated to version 1.3.5 with previous version 1.3.4 dated 2021-01-06

Title: Implementation of the Bayesian Discount Prior Approach for Clinical Trials
Description: Functions for data augmentation using the Bayesian discount prior method for single arm and two-arm clinical trials, as described in Haddad et al. (2017) <doi:10.1080/10543406.2017.1300907>. The discount power prior methodology was developed in collaboration with the The Medical Device Innovation Consortium (MDIC) Computer Modeling & Simulation Working Group.
Author: Shawn Balcome [aut], Donnie Musgrove [aut], Tarek Haddad [aut], Graeme L. Hickey [cre, aut] (<https://orcid.org/0000-0002-4989-0054>), Christopher Jackson [ctb] (For the ppexp R code that was ported to C++.)
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package Rpadrino updated to version 0.0.2 with previous version 0.0.1 dated 2021-11-15

Title: Interact with the 'PADRINO' IPM Database
Description: 'PADRINO' houses textual representations of Integral Projection Models which can be converted from their table format into full kernels to reproduce or extend an already published analysis. 'Rpadrino' is an R interface to this database. For more information on Integral Projection Models, see Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. See Levin et al. (2021) for more information on 'ipmr', the engine that powers model reconstruction <doi:10.1111/2041-210X.13683>.
Author: Sam Levin [aut, cre] (<https://orcid.org/0000-0002-3289-9925>), Aldo Compagnoni [aut], Dylan Childs [aut], Sanne Evers [aut], Tomos Potter [aut], Roberto Salguero-Gomez [aut], Tiffany Knight [aut]
Maintainer: Sam Levin <levisc8@gmail.com>

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Package deaR updated to version 1.2.4 with previous version 1.2.3 dated 2021-03-28

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

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Package proxyC updated to version 0.2.3 with previous version 0.2.2 dated 2021-10-27

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] (<https://orcid.org/0000-0001-6519-5265>), Robrecht Cannoodt [aut] (<https://orcid.org/0000-0003-3641-729X>)
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package RWeka updated to version 0.4-44 with previous version 0.4-43 dated 2020-08-23

Title: R/Weka Interface
Description: An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <http://www.cs.waikato.ac.nz/ml/weka/>.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package microeco updated to version 0.6.0 with previous version 0.5.1 dated 2021-09-01

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity statistics, beta diversity statistics, differential abundance test and indicator taxon analysis, environmental data analysis, null model analysis, network analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Umer Zeeshan Ijaz [ctb], Chenhao Li [ctb], Yang Cao [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package SDraw (with last version 2.1.13) was removed from CRAN

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

2020-07-03 2.1.13
2020-03-31 2.1.11
2019-03-07 2.1.8
2016-06-13 2.1.3

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Package spatialfusion (with last version 0.6-4) was removed from CRAN

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

2021-10-05 0.6-4
2021-06-27 0.6-3
2020-04-09 0.6-2

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Package MixMatrix updated to version 0.2.6 with previous version 0.2.4 dated 2019-11-14

Title: Classification with Matrix Variate Normal and t Distributions
Description: Provides sampling and density functions for matrix variate normal, t, and inverted t distributions; ML estimation for matrix variate normal and t distributions using the EM algorithm, including some restrictions on the parameters; and classification by linear and quadratic discriminant analysis for matrix variate normal and t distributions described in Thompson et al. (2019) <doi:10.1080/10618600.2019.1696208>. Performs clustering with matrix variate normal and t mixture models.
Author: Geoffrey Thompson [aut, cre] (<https://orcid.org/0000-0003-2436-8822>), B. D. Ripley author of original lda and qda functions [ctb, cph], W. N. Venables author of original lda and qda functions [ctb, cph]
Maintainer: Geoffrey Thompson <gzthompson@gmail.com>

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Package lares updated to version 5.0.3 with previous version 5.0.2 dated 2021-09-10

Title: Analytics, Data Mining & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package kgrams updated to version 0.1.2 with previous version 0.1.0 dated 2021-02-15

Title: Classical k-gram Language Models
Description: Tools for training and evaluating k-gram language models in R, supporting several probability smoothing techniques, perplexity computations, random text generation and more.
Author: Valerio Gherardi [aut, cre] (<https://orcid.org/0000-0002-8215-3013>)
Maintainer: Valerio Gherardi <vgherard840@gmail.com>

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Package hisse updated to version 2.1.6 with previous version 2.1.5 dated 2021-11-11

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Daniel Caetano [aut], James Boyko [aut], Thais Vasconcelos [aut]
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>

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New package fidelius with initial version 0.0.2
Package: fidelius
Title: Browser-Side Password-Protected HTML Documents
Version: 0.0.2
Description: Create secure, encrypted, and password-protected static HTML documents that include the machinery for secure in-browser authentication and decryption.
License: MIT + file LICENSE
URL: https://mattwarkentin.github.io/fidelius/, https://github.com/mattwarkentin/fidelius
BugReports: https://github.com/mattwarkentin/fidelius/issues
Encoding: UTF-8
Imports: askpass, fs, htmltools, readr, rlang, rmarkdown, rstudioapi, sodium, whisker
NeedsCompilation: no
Packaged: 2021-11-15 16:19:35 UTC; matt
Author: Matthew T. Warkentin [aut, cre, cph] (<https://orcid.org/0000-0001-8730-3511>)
Maintainer: Matthew T. Warkentin <warkentin@lunenfeld.ca>
Repository: CRAN
Date/Publication: 2021-11-16 08:10:12 UTC

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Package diagis updated to version 0.2.1 with previous version 0.1.5 dated 2020-06-04

Title: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Description: Fast functions for effective sample size, weighted multivariate mean, variance, and quantile computation, and weight diagnostic plot for generic importance sampling type or other probability weighted samples.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package attachment updated to version 0.2.4 with previous version 0.2.3 dated 2021-11-10

Title: Deal with Dependencies
Description: Tools to help manage dependencies during package development. This can retrieve all dependencies that are used in R files in the "R" directory, in Rmd files in "vignettes" directory and in 'roxygen2' documentation of functions. There is a function to update the Description file of your package and a function to create a file with the R commands to install all dependencies of your package. All functions to retrieve dependencies of R scripts and Rmd files can be used independently of a package development.
Author: Sébastien Rochette [cre, aut] (<https://orcid.org/0000-0002-1565-9313>), Vincent Guyader [aut] (<https://orcid.org/0000-0003-0671-9270>, previous maintainer), ThinkR [cph, fnd]
Maintainer: Sébastien Rochette <sebastien@thinkr.fr>

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Package tseries updated to version 0.10-49 with previous version 0.10-48 dated 2020-12-04

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre], Blake LeBaron [ctb] (BDS test code)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package terra updated to version 1.4-20 with previous version 1.4-19 dated 2021-11-15

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Karl Forner [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package SurrogateTest updated to version 1.3 with previous version 1.2 dated 2020-03-29

Title: Early Testing for a Treatment Effect using Surrogate Marker Information
Description: Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect" Biometrics, 75(4):1253-1263. <doi:10.1111/biom.13067>.
Author: Layla Parast
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package SmoothTensor updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-10

Title: A Collection of Smooth Tensor Estimation Methods
Description: A list of methods for estimating a smooth tensor with an unknown permutation. It also contains several multi-variate functions for generating permuted signal tensors and corresponding observed tensors. For a detailed introduction for the model and estimation techniques, see the paper by Chanwoo Lee and Miaoyan Wang (2021) "Smooth tensor estimation with unknown permutations" <arXiv:2111.04681>.
Author: Chanwoo Lee [aut, cre], Miaoyan Wang [aut]
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>

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Package skewMLRM updated to version 1.4 with previous version 1.3 dated 2021-11-06

Title: Estimation for Scale-Shape Mixtures of Skew-Normal Distributions
Description: Provide data generation and estimation tools for the multivariate scale mixtures of normal presented in Lange and Sinsheimer (1993) <doi:10.2307/1390698>, the multivariate scale mixtures of skew-normal presented in Zeller, Lachos and Vilca (2011) <doi:10.1080/02664760903406504>, the multivariate skew scale mixtures of normal presented in Louredo, Zeller and Ferreira (2021) <doi:10.1007/s13571-021-00257-y> and the multivariate scale mixtures of skew-normal-Cauchy presented in Kahrari et al. (2020) <doi:10.1080/03610918.2020.1804582>.
Author: Clecio Ferreira [aut], Diego Gallardo [aut, cre], Camila Zeller [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>

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Package PriceIndices updated to version 0.0.6 with previous version 0.0.5 dated 2021-05-20

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: de Haan and Krsinich (2017) <doi:10.1111/roiw.12304> and Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>.
Author: Jacek Białek [aut, cre] (<https://orcid.org/0000-0002-0952-5327>)
Maintainer: Jacek Białek <jacek.bialek@uni.lodz.pl>

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Package MSEtool updated to version 3.3.0 with previous version 3.2.0 dated 2021-08-13

Title: Management Strategy Evaluation Toolkit
Description: Development, simulation testing, and implementation of management procedures for fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).
Author: Adrian Hordyk [aut, cre], Quang Huynh [aut], Tom Carruthers [aut], Chris Grandin [ctb] (iSCAM functions)
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

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New package mlr3spatial with initial version 0.1.0
Package: mlr3spatial
Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Version: 0.1.0
Date: 2021-10-27
Description: Extends the mlr3 ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.
License: LGPL-3
URL: https://mlr3spatial.mlr-org.com, https://github.com/mlr-org/mlr3spatial
BugReports: https://github.com/mlr-org/mlr3spatial/issues
Depends: mlr3 (>= 0.12.0), R (>= 3.1.0)
Imports: checkmate (>= 2.0.0), data.table (>= 1.14.0), lgr (>= 0.4.2), methods, mlr3misc, R6 (>= 2.5.0), terra (>= 1.3-22), utils
Suggests: bench, e1071, future, future.callr, knitr, mlr3learners (>= 0.4.5), mlr3tuning, paradox, ranger, raster, rgdal, rmarkdown, rpart, sf, stars, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/parallel: false
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-11-15 13:08:43 UTC; marc
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2021-11-16 07:40:02 UTC

More information about mlr3spatial at CRAN
Permanent link

Package lefko3 updated to version 4.0.1 with previous version 3.8.0 dated 2021-09-08

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Creates matrix population models for use in population ecological analyses. Specializes on the construction of historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices. Methodology based on Ehrlen (2000) <doi:10.1890/0012-9658(2000)081[1675:TDOPPD]2.0.CO;2> and deVries and Caswell (2018) <doi:10.1007/s12080-017-0353-0>.
Author: Richard P. Shefferson [aut, cre] (<https://orcid.org/0000-0002-5234-3131>), Johan Ehrlen [aut] (<https://orcid.org/0000-0001-8539-8967>)
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package landest updated to version 1.1 with previous version 1.0 dated 2015-11-15

Title: Landmark Estimation of Survival and Treatment Effect
Description: Provides functions to estimate survival and a treatment effect using a landmark estimation approach.
Author: Layla Parast
Maintainer: Layla Parast <parast@austin.utexas.edu>

Diff between landest versions 1.0 dated 2015-11-15 and 1.1 dated 2021-11-16

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Package gtfstools updated to version 1.0.0 with previous version 0.1.0 dated 2021-02-23

Title: General Transit Feed Specification (GTFS) Editing and Analysing Tools
Description: Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.
Author: Daniel Herszenhut [aut, cre] (<https://orcid.org/0000-0001-8066-1105>), Rafael H. M. Pereira [aut] (<https://orcid.org/0000-0003-2125-7465>), Pedro R. Andrade [aut] (<https://orcid.org/0000-0001-8675-4046>), Joao Bazzo [aut] (<https://orcid.org/0000-0003-4536-5006>), Mark Padgham [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

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Package gdm updated to version 1.5.0 with previous version 1.4.2.2 dated 2021-03-17

Title: Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, summarize, and apply Generalized Dissimilarity Models.
Author: Matt Fitzpatrick [aut, cre] (<https://orcid.org/0000-0003-1911-8407>), Karel Mokany [aut] (<https://orcid.org/0000-0003-4199-3697>), Glenn Manion [aut], Diego Nieto-Lugilde [aut] (<https://orcid.org/0000-0003-4135-2881>), Simon Ferrier [aut] (<https://orcid.org/0000-0001-7884-2388>), Matthew Lisk [ctb], Ware Chris [ctb], Woolley Skip [ctb], Harwood Tom [ctb]
Maintainer: Matt Fitzpatrick <mfitzpatrick@umces.edu>

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Package cclust updated to version 0.6-23 with previous version 0.6-22 dated 2020-12-03

Title: Convex Clustering Methods and Clustering Indexes
Description: Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.
Author: Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package unix updated to version 1.5.4 with previous version 1.5.3 dated 2021-08-16

Title: POSIX System Utilities
Description: Bindings to system utilities found in most Unix systems such as POSIX functions which are not part of the Standard C Library.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package timetk updated to version 2.6.2 with previous version 2.6.1 dated 2021-01-18

Title: A Tool Kit for Working with Time Series in R
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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 R/timetk-package.R                                                      |    1 
 R/vec-fourier.R                                                         |   34 +
 R/vec-lag.R                                                             |   14 
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Package microsimulation updated to version 1.3.6 with previous version 1.3.5 dated 2021-07-15

Title: Discrete Event Simulation in R and C++, with Tools for Cost-Effectiveness Analysis
Description: Discrete event simulation using both R and C++ (Karlsson et al 2016; <doi:10.1109/eScience.2016.7870915>). The C++ code is adapted from the SSIM library <https://www.inf.usi.ch/carzaniga/ssim/>, allowing for both event-oriented and process-oriented simulation. The code includes a SummaryReport class for reporting events and costs by age and other covariates. The C++ code is available as a static library for linking to other packages. A priority queue implementation is given in C++ together with an S3 closure and a reference class implementation. Finally, some tools are provided for cost-effectiveness analysis.
Author: Mark Clements [aut, cre, cph], Alexandra Jauhiainen [aut], Andreas Karlsson [aut], Antonio Carzaniga [cph], University of Colorado [cph], Pierre L'Ecuyer [cph]
Maintainer: Mark Clements <mark.clements@ki.se>

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Package islasso updated to version 1.4.1 with previous version 1.4.0 dated 2021-10-15

Title: The Induced Smoothed Lasso
Description: An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper: Cilluffo, G., Sottile, G., La Grutta, S. and Muggeo, V. (2019) The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression. <doi:10.1177/0962280219842890>, and discussed in a tutorial: Sottile, G., Cilluffo, G., and Muggeo, V. (2019) The R package islasso: estimation and hypothesis testing in lasso regression. <doi:10.13140/RG.2.2.16360.11521>.
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, cre]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

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 islasso-1.4.1/islasso/R/islasso.R                                                                           |    8 
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 islasso-1.4.1/islasso/man/islasso.Rd                                                                        |    3 
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 islasso-1.4.1/islasso/src/islasso.h                                                                         |    2 
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Package uFTIR (with last version 0.1.4) was removed from CRAN

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

2021-10-25 0.1.4

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Package stokes updated to version 1.0-9 with previous version 1.0-8 dated 2021-05-10

Title: The Exterior Calculus
Description: Provides functionality for working with tensors, alternating tensors, wedge products, Stokes's theorem, and related concepts from the exterior calculus. Functionality for Grassman algebra is provided. The canonical reference would be: M. Spivak (1965, ISBN:0-8053-9021-9) "Calculus on Manifolds". Version stokes_1.0-8 is a reduced functionality placeholder pending upload of spray version 1.0-16 to CRAN.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package pushoverr updated to version 1.1.0 with previous version 1.0.0 dated 2016-11-23

Title: Send Push Notifications using 'Pushover'
Description: Send push notifications to mobile devices or the desktop using 'Pushover' <https://pushover.net>. These notifications can display things such as results, job status, plots, or any other text or numeric data.
Author: Brian Connelly [aut, cre] (<https://orcid.org/0000-0002-9948-0379>)
Maintainer: Brian Connelly <bdc@bconnelly.net>

Diff between pushoverr versions 1.0.0 dated 2016-11-23 and 1.1.0 dated 2021-11-16

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Package mtb updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-02

Title: Toolkit for Time Related Data Presentation and Adding Colors to Markdown or Shiny
Description: The purpose of this package is to provide a collection of functions for (1) aiding summarizing time related data; (2) generating axis transformation from data; and (3) aiding Markdown (with html output) and Shiny file editing.
Author: Y Hsu [aut, cre]
Maintainer: Y Hsu <yh202109@gmail.com>

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Package MazamaLocationUtils updated to version 0.2.7 with previous version 0.2.0 dated 2021-10-05

Title: Manage Spatial Metadata for Known Locations
Description: Utility functions for discovering and managing metadata associated with spatially unique "known locations". Applications include all fields of environmental monitoring (e.g. air and water quality) where data are collected at stationary sites.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Oliver Fogelin [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package file2meco updated to version 0.2.0 with previous version 0.1.0 dated 2021-09-09

Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package BE updated to version 0.1.4 with previous version 0.1.3 dated 2021-06-21

Title: Bioequivalence Study Data Analysis
Description: Analyze bioequivalence study data with industrial strength. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design. Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between BE versions 0.1.3 dated 2021-06-21 and 0.1.4 dated 2021-11-16

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More information about BE at CRAN
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Package DominoPredictionLogging (with last version 0.1.0) was removed from CRAN

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

2021-10-25 0.1.0

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