Wed, 28 Oct 2020

Package BioVenn updated to version 1.0.3 with previous version 1.0.2 dated 2020-09-30

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>

Diff between BioVenn versions 1.0.2 dated 2020-09-30 and 1.0.3 dated 2020-10-28

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Package sjPlot updated to version 2.8.6 with previous version 2.8.5 dated 2020-09-24

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Alexander Bartel [ctb] (<https://orcid.org/0000-0002-1280-6138>), Carsten Schwemmer [ctb], Chuck Powell [ctb] (<https://orcid.org/0000-0002-3606-2188>), Amir Djalovski [ctb], Johannes Titz [ctb] (<https://orcid.org/0000-0002-1102-5719>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package RcmdrPlugin.NMBU updated to version 1.8.12 with previous version 1.8.11 dated 2019-09-09

Title: R Commander Plug-in for University Level Applied Statistics
Description: An R Commander "plug-in" extending functionality of linear models and providing an interface to Partial Least Squares Regression and Linear and Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types of analyses, and extra plots, tests and mixed models are available.
Author: Kristian Hovde Liland [aut, cre], Solve S<e6>b<f8> [aut]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package psqn updated to version 0.1.1 with previous version 0.1.0 dated 2020-10-27

Title: Partially Separable Quasi-Newton
Description: Provides quasi-Newton methods to minimize partially separable functions. The methods are largely described by Nocedal and Wright (2006) <doi:10.1007/978-0-387-40065-5>.
Author: Benjamin Christoffersen [cre, aut]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

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Package plotdap updated to version 0.0.9 with previous version 0.0.8 dated 2020-10-23

Title: Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap' Package
Description: Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command, using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data, map projections and continental outlines. Optionally the data can be animated through time using the 'gganmiate' package.
Author: Carson Sievert [aut], Roy Mendelssohn [aut, ctb, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package PAMmisc updated to version 1.6.5 with previous version 1.6.3 dated 2020-10-22

Title: Miscellaneous Functions for Passive Acoustic Analysis
Description: A collection of miscellaneous functions for passive acoustics. Much of the content here is adapted to R from code written by other people. If you have any ideas of functions to add, please contact Taiki Sakai.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Julie Oswald [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package pairwiseComparisons updated to version 3.1.0 with previous version 3.0.0 dated 2020-10-06

Title: Multiple Pairwise Comparison Tests
Description: Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover and Dunn test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package ech updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-18

Title: Toolbox for ECH with R
Description: R toolbox for the processing of the Encuesta Continua de Hogares (ECH) from Uruguay at <http://www.ine.gub.uy/encuesta-continua-de-hogares1> conducted by the Instituto Nacional de Estadistica (INE).
Author: Gabriela Mathieu [aut, cre] (<https://orcid.org/0000-0003-3965-9024>), Richard Detomasi [aut] (<https://orcid.org/0000-0002-6725-0261>), Tati Micheletti [ctb] (<https://orcid.org/0000-0003-4838-8342>), Instituto Nacional de Estadistica, Uruguay (INE) [dtc]
Maintainer: Gabriela Mathieu <calcita@gmx.li>

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Package EBMAforecast updated to version 1.0.2 with previous version 1.0.0 dated 2020-05-20

Title: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms
Description: Create forecasts from multiple predictions using ensemble Bayesian model averaging (EBMA). EBMA models can be estimated using an expectation maximization (EM) algorithm or as fully Bayesian models via Gibbs sampling. The methods in this package are Montgomery, Hollenbach, and Ward (2015) <doi:10.1016/j.ijforecast.2014.08.001> and Montgomery, Hollenbach, and Ward (2012) <doi:10.1093/pan/mps002>.
Author: Florian M. Hollenbach [aut, cre] (<https://orcid.org/0000-0002-9599-556X>), Jacob M. Montgomery [aut], Michael D. Ward [aut]
Maintainer: Florian M. Hollenbach <fhollenbach@tamu.edu>

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Package apollo updated to version 0.2.1 with previous version 0.2.0 dated 2020-10-19

Title: Tools for Choice Model Estimation and Application
Description: The Choice Modelling Centre (CMC) at the University of Leeds has developed flexible code for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit www.ApolloChoiceModelling.com. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and Hess, S. & Daly, A.J. (2014) <isbn:978-1-781-00314-5> for an overview of the field.
Author: Stephane Hess [aut], David Palma [aut, cre]
Maintainer: David Palma <D.Palma@leeds.ac.uk>

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Package R6 updated to version 2.5.0 with previous version 2.4.1 dated 2019-11-12

Title: Encapsulated Classes with Reference Semantics
Description: Creates classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.
Author: Winston Chang [aut, cre]
Maintainer: Winston Chang <winston@stdout.org>

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Package epos updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-05

Title: Epilepsy Ontologies' Similarities
Description: Analysis and visualization of similarities between epilepsy ontologies based on text mining results by comparing ranked lists of co-occurring drug terms in the corpus of LIVIVO. The ranked result lists of neurological drug terms co-occurring with named entities from the epilepsy ontologies EpSO, ESSO, and EPILONT are aggregated in order to generate two different results: an overview table of drugs that are relevant to epilepsy created with the method createNeuroTable, and a plot of tanimoto similarity coefficients between the aggregated list of drug terms against the list of drug terms from each of the ontologies created with the method createTanimotoBaseline(). The alignment of the Top-K Ranked Lists is conducted using the R-package TopKLists <https://cran.r-project.org/package=TopKLists>. The source data to create the ranked lists of drug names is produced using the text mining workflows described in Mueller, Bernd and Hagelstein, Alexandra (2016) <doi:10.4126/FRL01-006408558> and Mueller, Bernd et al. (2017) <doi:10.1007/978-3-319-58694-6_22>.
Author: Bernd Mueller
Maintainer: Bernd Mueller <bernd.mueller@zbmed.de>

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Package hypergea (with last version 1.3.6) was removed from CRAN

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

2018-01-26 1.3.6
2016-09-10 1.3.3
2016-04-09 1.3.1
2014-09-16 1.2.3
2014-09-09 1.2.1
2014-07-10 1.0.1
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2012-09-06 2.2.2
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2015-04-18 1.2.2
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Package kantorovich updated to version 3.0.0 with previous version 2.0.1 dated 2020-08-26

Title: Kantorovich Distance Between Probability Measures
Description: Computes the Kantorovich distance between two probability measures on a finite set. The Kantorovich distance is also known as the Monge-Kantorovich distance or the first Wasserstein distance.
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>

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Package BAT updated to version 2.3.0 with previous version 2.2.1 dated 2020-10-16

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>

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Package rioja updated to version 0.9-26 with previous version 0.9-21 dated 2019-04-24

Title: Analysis of Quaternary Science Data
Description: Constrained clustering, transfer functions, and other methods for analysing Quaternary science data.
Author: Steve Juggins
Maintainer: Steve Juggins <Stephen.Juggins@ncl.ac.uk>

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Package rbacon updated to version 2.5.0 with previous version 2.4.3 dated 2020-08-10

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino L. [aut], Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rbacon versions 2.4.3 dated 2020-08-10 and 2.5.0 dated 2020-10-28

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Package mscstts updated to version 0.6.2 with previous version 0.6.1 dated 2020-10-03

Title: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API
Description: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API, including voice synthesis. A valid account must be registered at the Microsoft Cognitive Services website <https://azure.microsoft.com/services/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package SPOT updated to version 2.1.2 with previous version 2.0.6 dated 2020-06-17

Title: Sequential Parameter Optimization Toolbox
Description: A set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Author: Thomas Bartz-Beielstein [aut, cre], Joerg Stork [aut], Martin Zaefferer [aut], Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Frederik Rehbach [aut]
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>

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Package qicharts2 updated to version 0.7.1 with previous version 0.6.1 dated 2020-03-15

Title: Quality Improvement Charts
Description: Functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]. Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>].
Author: Jacob Anhoej [aut, cre]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

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Package odin updated to version 1.0.8 with previous version 1.0.1 dated 2019-07-02

Title: ODE Generation and Integration
Description: Generate systems of ordinary differential equations (ODE) and integrate them, using a domain specific language (DSL). The DSL uses R's syntax, but compiles to C in order to efficiently solve the system. A solver is not provided, but instead interfaces to the packages 'deSolve' and 'dde' are generated. With these, while solving the differential equations, no allocations are done and the calculations remain entirely in compiled code. Alternatively, a model can be transpiled to R for use in contexts where a C compiler is not present. After compilation, models can be inspected to return information about parameters and outputs, or intermediate values after calculations. 'odin' is not targeted at any particular domain and is suitable for any system that can be expressed primarily as mathematical expressions. Additional support is provided for working with delays (delay differential equations, DDE), using interpolated functions during interpolation, and for integrating quantities that represent arrays.
Author: Rich FitzJohn [aut, cre], Thibaut Jombart [ctb], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package insurancerating updated to version 0.6.3 with previous version 0.6.2 dated 2020-06-08

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It helps actuaries to implement GLMs within all relevant steps needed to construct a risk premium from raw data. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. It also provides recipes on how to easily perform one-way, or univariate, analyses on an insurance portfolio. In addition it adds functionality to include reference categories in the levels of the coefficients in the output of a generalized linear regression analysis.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package ftExtra updated to version 0.1.0 with previous version 0.0.2 dated 2020-08-29

Title: Extensions for 'Flextable'
Description: Build display tables easily by extending the functionality of the 'flextable' package. Features include spanning header, grouping rows, parsing markdown and so on.
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Romain François [ctb] (<https://orcid.org/0000-0002-2444-4226>)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

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Package rotor updated to version 0.3.4 with previous version 0.3.3 dated 2020-10-27

Title: Log Rotation and Conditional Backups
Description: Conditionally rotate or back-up files based on their size or the date of the last backup; inspired by the 'Linux' utility 'logrotate'.
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

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Package nvctr updated to version 0.1.4 with previous version 0.1.1 dated 2019-03-07

Title: The n-vector Approach to Geographical Position Calculations using an Ellipsoidal Model of Earth
Description: The n-vector framework uses the normal vector to the Earth ellipsoid (called n-vector) as a non-singular position representation that turns out to be very convenient for practical position calculations. The n-vector is simple to use and gives exact answers for all global positions, and all distances, for both ellipsoidal and spherical Earth models. This package is a translation of the 'Matlab' library from FFI, the Norwegian Defence Research Establishment, as described in Gade (2010) <doi:10.1017/S0373463309990415>.
Author: Enrico Spinielli [aut, cre] (<https://orcid.org/0000-0001-8584-9131>), EUROCONTROL [cph, fnd]
Maintainer: Enrico Spinielli <enrico.spinielli@eurocontrol.int>

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Package modeltime updated to version 0.3.0 with previous version 0.2.1 dated 2020-10-08

Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between modeltime versions 0.2.1 dated 2020-10-08 and 0.3.0 dated 2020-10-28

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Package projpred updated to version 2.0.2 with previous version 2.0.0 dated 2020-10-26

Title: Projection Predictive Feature Selection
Description: Performs projection predictive feature selection for generalized linear models and generalized linear and additive multilevel models (see, Piironen, Paasiniemi and Vehtari, 2020, <https://projecteuclid.org/euclid.ejs/1589335310>, Catalina, Bürkner and Vehtari, 2020, <arXiv:2010.06994>). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the package vignette for more information and examples.
Author: Juho Piironen [aut], Markus Paasiniemi [aut], Alejandro Catalina [cre, aut], Aki Vehtari [aut], Jonah Gabry [ctb], Marco Colombo [ctb], Paul-Christian Bürkner [ctb]
Maintainer: Alejandro Catalina <alecatfel@gmail.com>

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Package GMKMcharlie updated to version 1.1.1 with previous version 1.0.3 dated 2019-10-08

Title: Unsupervised Gaussian Mixture and Minkowski and Spherical K-Means with Constraints
Description: High performance trainers for parameterizing and clustering weighted data. The Gaussian mixture (GM) module includes the conventional EM (expectation maximization) trainer, the component-wise EM trainer, the minimum-message-length EM trainer by Figueiredo and Jain (2002) <doi:10.1109/34.990138>. These trainers accept additional constraints on mixture weights and covariance eigen ratios. The K-means (KM) module offers clustering with the options of (i) deterministic and stochastic K-means++ initializations, (ii) upper bounds on cluster weights (sizes), (iii) Minkowski distances, (iv) cosine dissimilarity, (v) dense and sparse representation of data input. The package improved the typical implementations of GM and KM algorithms in various aspects. It is carefully crafted in multithreaded C++ for modeling large data in industry use.
Author: Charlie Wusuo Liu
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>

Diff between GMKMcharlie versions 1.0.3 dated 2019-10-08 and 1.1.1 dated 2020-10-28

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Package ade4 updated to version 1.7-16 with previous version 1.7-15 dated 2020-02-13

Title: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Description: Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Author: Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, Daniel Borcard, Pierre Legendre, Stéphanie Bougeard and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package trip updated to version 1.8.0 with previous version 1.7.1 dated 2020-06-15

Title: Tools for the Analysis of Animal Track Data
Description: Functions for accessing and manipulating spatial data for animal tracking, with straightforward coercion from and to other formats. Filter for speed and create time spent maps from animal track data. There are coercion methods to convert between 'trip' and 'ltraj' from 'adehabitatLT', and between 'trip' and 'psp' and 'ppp' from 'spatstat'. Trip objects can be created from raw or grouped data frames, and from types in the 'sp', 'sf', 'amt', 'trackeR', 'mousetrap', and other packages.
Author: Michael D. Sumner [aut, cre], Sebastian Luque [ctb], Anthony Fischbach [ctb], Tomislav Hengl [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package BayesLN updated to version 0.2.1 with previous version 0.1.2 dated 2020-02-20

Title: Bayesian Inference for Log-Normal Data
Description: Bayesian inference under log-normality assumption must be performed very carefully. In fact, under the common priors for the variance, useful quantities in the original data scale (like mean and quantiles) do not have posterior moments that are finite (Fabrizi et al. 2012 <doi:10.1214/12-BA733>). This package allows to easily carry out a proper Bayesian inferential procedure by fixing a suitable distribution (the generalized inverse Gaussian) as prior for the variance. Functions to estimate several kind of means (unconditional, conditional and conditional under a mixed model) and quantiles (unconditional and conditional) are provided.
Author: Aldo Gardini [aut, cre] (<https://orcid.org/0000-0002-2164-5815>), Enrico Fabrizi [aut] (<https://orcid.org/0000-0003-2504-7043>), Carlo Trivisano [aut] (<https://orcid.org/0000-0002-5991-4902>)
Maintainer: Aldo Gardini <aldo.gardini2@unibo.it>

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Permanent link

New package starwarsdb with initial version 0.1.1
Package: starwarsdb
Title: Relational Data from the 'Star Wars' API for Learning and Teaching
Version: 0.1.1
Authors@R: person(given = "Garrick", family = "Aden-Buie", role = c("aut", "cre"), email = "garrick@adenbuie.com", comment = c(ORCID = "0000-0002-7111-0077"))
Description: Provides data about the 'Star Wars' movie franchise in a set of relational tables or as a complete 'DuckDB' database. All data was collected from the open source 'Star Wars' API <https://swapi.dev/>.
License: MIT + file LICENSE
URL: https://github.com/gadenbuie/starwarsdb
BugReports: https://github.com/gadenbuie/starwarsdb/issues
Depends: R (>= 2.10)
Imports: DBI, duckdb, magrittr, tibble
Suggests: dbplyr, dm, dplyr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-20 16:27:10 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] (<https://orcid.org/0000-0002-7111-0077>)
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2020-10-28 09:20:02 UTC

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New package MatchItEXT with initial version 0.0.1
Package: MatchItEXT
Title: A Supplementary Function Set to 'MatchIt'
Version: 0.0.1
Authors@R: person(given = "Danjie", family = "Zou", role = c("aut", "cre"), email = "zoudanjie7@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0003-2280-0335"))
Description: This function set is supplementary to 'MatchIt'. Its functions conduct several computations that 'MatchIt' does not provide. It takes the 'MatchIt' result object and/or the original data to compute standardized mean differences (SMD) between groups before and after matching. It also calculates ratio of variances and ratio of residual variances. In addition, it draws SMD comparison plots and QQ plots of distance measure score to help diagnose the matching result.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: dplyr, ggplot2, ggpubr, Hmisc, MatchIt, MASS, sure, tibble, tidyr, methods, stats
Suggests: knitr, qpdf, rmarkdown, spelling, testthat
Language: en-US
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-20 18:20:42 UTC; zouda
Author: Danjie Zou [aut, cre] (<https://orcid.org/0000-0003-2280-0335>)
Maintainer: Danjie Zou <zoudanjie7@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-28 09:20:11 UTC

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Package heplots updated to version 1.3-7 with previous version 1.3-5 dated 2018-04-03

Title: Visualizing Hypothesis Tests in Multivariate Linear Models
Description: Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and- products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Author: John Fox [aut], Michael Friendly [aut, cre], Georges Monette [ctb], Phil Chalmers [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package DataVisualizations updated to version 1.2.1 with previous version 1.2.0 dated 2020-08-04

Title: Visualizations of High-Dimensional Data
Description: Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
Author: Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>), Felix Pape [aut, rev], Onno Hansen-Goos [ctr, ctb], Hamza Tayyab [ctr, ctb], Dirk Eddelbuettel [ctr], Craig Varrichio [ctr], Alfred Ultsch [dtc, ctb, ctr]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between DataVisualizations versions 1.2.0 dated 2020-08-04 and 1.2.1 dated 2020-10-28

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New package ts.extend with initial version 0.1.0
Package: ts.extend
Type: Package
Title: Stationary Gaussian ARMA Processes and Other Time-Series Utilities
Version: 0.1.0
Date: 2020-09-21
Authors@R: person("Ben", "O'Neill", email = "ben.oneill@hotmail.com", role = c("aut", "cre"))
Author: Ben O'Neill [aut, cre]
Maintainer: Ben O'Neill <ben.oneill@hotmail.com>
Description: Stationary Gaussian ARMA processes and the stationary 'GARMA' distribution are fundamental in time series analysis. The permutation-spectrum test can detect a periodic signal in a real or complex time-series. Utilities to compute the auto-covariance/auto-correlation for a stationary Gaussian ARMA process, as well as the density, cumulative distribution, and spectral intensity are also implemented, as is random series generation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: graphics, grDevices
Suggests: ggplot2, gridExtra, mvtnorm
URL: https://github.com/ben-oneill/ts.extend
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-19 22:44:44 UTC; nfultz
Repository: CRAN
Date/Publication: 2020-10-28 08:30:02 UTC

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New package tidyseurat with initial version 0.1.11
Type: Package
Package: tidyseurat
Title: Brings Seurat to the Tidyverse
Version: 0.1.11
Authors@R: c(person("Stefano", "Mangiola", email = "mangiolastefano@gmail.com", role = c("aut", "cre")), person("Maria", "Doyle", email = "Maria.Doyle@petermac.org", role = c("ctb")) )
Description: It creates an invisible layer that allow to see the 'Seurat' object as tibble and interact seamlessly with the tidyverse.
License: GPL-3
Depends: R (>= 4.0.0), Seurat
Imports: tibble, dplyr, magrittr, tidyr, ggplot2, rlang, purrr, lifecycle, methods, plotly, tidyselect, utils, ellipsis, pillar, stringr, cli, fansi
Suggests: testthat, knitr, GGally, markdown, SingleCellSignalR, dittoSeq
VignetteBuilder: knitr
RdMacros: lifecycle
Biarch: true
biocViews: AssayDomain, Infrastructure, RNASeq, DifferentialExpression, GeneExpression, Normalization, Clustering, QualityControl, Sequencing, Transcription, Transcriptomics
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-20 11:26:05 UTC; mangiola.s
Author: Stefano Mangiola [aut, cre], Maria Doyle [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-28 09:00:02 UTC

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Package SoDA updated to version 1.0-6.1 with previous version 1.0-6 dated 2013-06-12

Title: Functions and Examples for "Software for Data Analysis"
Description: Functions, examples and other software related to the book "Software for Data Analysis: Programming with R". See package?SoDA for an overview.
Author: John M Chambers
Maintainer: John M Chambers <jmc@r-project.org>

Diff between SoDA versions 1.0-6 dated 2013-06-12 and 1.0-6.1 dated 2020-10-28

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New package SBAGM with initial version 0.1.0
Package: SBAGM
Type: Package
Title: Search Best ARIMA, GARCH, and MS-GARCH Model
Version: 0.1.0
Authors@R: c(person(given = "Rajeev Ranjan", family = "Kumar", role = c("aut", "cre"), email = "rrk.uasd@gmail.com"), person(given = "Girish Kumar", family = "Jha", role = c("aut", "ths", "ctb")), person(given = "Dwijesh C.", family = "Mishra", role = "ctb"), person(given = "Neeraj", family = "Budhlakoti", role = "ctb"))
Maintainer: Rajeev Ranjan Kumar <rrk.uasd@gmail.com>
Description: Get the most appropriate autoregressive integrated moving average, generalized auto-regressive conditional heteroscedasticity and Markov switching GARCH model. For method details see Haas M, Mittnik S, Paolella MS (2004). <doi:10.1093/jjfinec/nbh020>, Bollerslev T (1986). <doi:10.1016/0304-4076(86)90063-1>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: MSGARCH, forecast, rugarch
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-10-20 07:23:43 UTC; Rajeev-PC
Author: Rajeev Ranjan Kumar [aut, cre], Girish Kumar Jha [aut, ths, ctb], Dwijesh C. Mishra [ctb], Neeraj Budhlakoti [ctb]
Repository: CRAN
Date/Publication: 2020-10-28 08:40:05 UTC

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New package ivsacim with initial version 1.0
Package: ivsacim
Type: Package
Title: Structural Additive Cumulative Intensity Models with IV
Version: 1.0
Date: 2020-10-09
Author: Andrew Ying
Maintainer: Andrew Ying <aying9339@gmail.com>
Description: An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. We also provide a consistent variance estimate.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.5), survival, lava, timereg
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-10-20 03:35:22 UTC; andrewying
Repository: CRAN
Date/Publication: 2020-10-28 08:40:02 UTC

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Package hisse updated to version 1.9.10 with previous version 1.9.9 dated 2020-10-20

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]
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>

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Package giscoR updated to version 0.1.1 with previous version 0.1.0 dated 2020-10-13

Title: Download Geospatial Data from GISCO API - Eurostat
Description: Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. This package is in no way officially related to or endorsed by Eurostat.
Author: Diego Hernangómez [aut, cre] (<https://orcid.org/0000-0001-8457-4658>)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>

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Package fflr updated to version 0.3.9 with previous version 0.3.8 dated 2020-10-27

Title: Collect ESPN Fantasy Football Data
Description: Format the raw data from the ESPN fantasy football API <https://fantasy.espn.com/apis/v3/games/ffl/> into tidy tables. Scrape data on public leagues, rosters, athletes, and matches.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

Diff between fflr versions 0.3.8 dated 2020-10-27 and 0.3.9 dated 2020-10-28

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Package stplanr updated to version 0.8.0 with previous version 0.7.2 dated 2020-09-04

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <https://cyclestreets.net/> and calculation of route segment attributes such as bearing. The package implements the 'travel flow aggregration' method described in Morgan and Lovelace (2020) <doi:10.1177/2399808320942779>. Further information on the package's aim and scope can be found in the vignettes and in a paper in the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Malcolm Morgan [aut] (<https://orcid.org/0000-0002-9488-9183>), Barry Rowlingson [ctb] (Author of overline), Nick Bearman [ctb] (Co-author of gclip), Nikolai Berkoff [ctb] (Co-author of line2route), Scott Chamberlain [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb], Andrea Gilardi [ctb] (<https://orcid.org/0000-0002-9424-7439>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package tidypredict updated to version 0.4.8 with previous version 0.4.7 dated 2020-10-05

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Max Kuhn [aut, cre]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between tidypredict versions 0.4.7 dated 2020-10-05 and 0.4.8 dated 2020-10-28

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Package rules updated to version 0.1.0 with previous version 0.0.3 dated 2020-10-02

Title: Model Wrappers for Rule-Based Models
Description: Bindings for additional models for use with the 'parsnip' package. Models include prediction rule ensembles (Friedman and Popescu, 2008) <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992 ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013) <doi:10.1007/978-1-4614-6849-3>.
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between rules versions 0.0.3 dated 2020-10-02 and 0.1.0 dated 2020-10-28

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Package poissonreg updated to version 0.1.0 with previous version 0.0.1 dated 2020-04-14

Title: Model Wrappers for Poisson Regression
Description: Bindings for Poisson regression models for use with the 'parsnip' package. Models include simple generalized linear models, Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber, and Jackman (2008) <doi:10.18637/jss.v027.i08>).
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package plsmod updated to version 0.1.1 with previous version 0.1.0 dated 2020-10-07

Title: Model Wrappers for Projection Methods
Description: Bindings for additional regression models for use with the 'parsnip' package, including ordinary and spare partial least squares models for regression and classification (Rohart et al (2017) <doi:10.1371/journal.pcbi.1005752>).
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between plsmod versions 0.1.0 dated 2020-10-07 and 0.1.1 dated 2020-10-28

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Package discrim updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-07

Title: Model Wrappers for Discriminant Analysis
Description: Bindings for additional classification models for use with the 'parsnip' package. Models include flavors of discriminant analysis, such as linear (Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman (1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie, Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as well as naive Bayes classifiers (Hand and Yu (2007) <doi:10.1111/j.1751-5823.2001.tb00465.x>).
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between discrim versions 0.1.0 dated 2020-07-07 and 0.1.1 dated 2020-10-28

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Package baguette updated to version 0.1.0 with previous version 0.0.1 dated 2020-04-14

Title: Efficient Model Functions for Bagging
Description: Tree- and rule-based models can be bagged using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between baguette versions 0.0.1 dated 2020-04-14 and 0.1.0 dated 2020-10-28

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