Thu, 23 Sep 2021

Package taylor updated to version 0.2.1 with previous version 0.2.0 dated 2021-08-17

Title: Lyrics and Song Data for Taylor Swift's Discography
Description: A comprehensive resource for data on Taylor Swift songs. Data is included for all officially released studio albums, extended plays (EPs), and individual singles are included. Data comes from 'Genius' (lyrics) and 'Spotify' (song characteristics). Additional functions are included for easily creating data visualizations with color palettes inspired by Taylor Swift's album covers.
Author: W. Jake Thompson [aut, cre, cph] (<https://orcid.org/0000-0001-7339-0300>)
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>

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Package regressoR updated to version 2.0.0 with previous version 1.2.1 dated 2021-04-06

Title: Regression Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

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Package cyclestreets updated to version 0.5.0 with previous version 0.4.0 dated 2021-06-22

Title: Cycle Routing and Data for Cycling Advocacy
Description: An interface to the cycle routing/data services provided by 'CycleStreets', a not-for-profit social enterprise and advocacy organisation. The application programming interfaces (APIs) provided by 'CycleStreets' are documented at (<https://www.cyclestreets.net/api/>). The focus of this package is the journey planning API, which aims to emulate the routes taken by a knowledgeable cyclist. An innovative feature of the routing service of its provision of fastest, quietest and balanced profiles. These represent routes taken to minimise time, avoid traffic and compromise between the two, respectively.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Martin Lucas-Smith [aut], Eric Krueger [ctb], Joey Talbot [aut] (<https://orcid.org/0000-0002-6520-4560>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package XPolaris updated to version 1.0.2 with previous version 1.0.1 dated 2021-06-17

Title: Retrieving Soil Data from POLARIS
Description: The POLARIS database <http://hydrology.cee.duke.edu/POLARIS/> is a 30-meter probabilistic soil series map of the contiguous United States (US). It represents an optimization of the Soil Survey Geographic database. This R package facilitates the access to large amounts of soil data within the US, currently stored online as raster images (TIFF).
Author: Luiz Moro Rosso [cre], Andre Borja Reis [aut], Adrian Correndo [aut], Ignacio Ciampitti [aut]
Maintainer: Luiz Moro Rosso <lhmrosso@ksu.edu>

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Package semiArtificial updated to version 2.4.1 with previous version 2.3.1 dated 2019-05-31

Title: Generator of Semi-Artificial Data
Description: Contains methods to generate and evaluate semi-artificial data sets. Based on a given data set different methods learn data properties using machine learning algorithms and generate new data with the same properties. The package currently includes the following data generators: i) a RBF network based generator using rbfDDA() from package 'RSNNS', ii) a Random Forest based generator for both classification and regression problems iii) a density forest based generator for unsupervised data Data evaluation support tools include: a) single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance b) evaluation based on clustering using Adjusted Rand Index (ARI) and FM c) evaluation based on classification performance with various learning models, e.g., random forests.
Author: Marko Robnik-Sikonja
Maintainer: Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>

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New package tsfngm with initial version 0.1.0
Package: tsfngm
Title: Time Series Forecasting using Nonlinear Growth Models
Version: 0.1.0
Author: Mrinmoy Ray [aut, cre], K. N. Singh [ctb], Kanchan Sinha [ctb], Rajeev Ranjan Kumar [ctb], Prakash Kumar [ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Depends: R (>= 2.6),stats
Description: Nonlinear growth models are extremely useful in gaining insight into the underlying mechanism. These models are generally 'mechanistic,' with parameters that have biological meaning. This package allows you to fit and forecast time series data using nonlinear growth models.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2021-09-23 17:18:58 UTC; pc
Repository: CRAN
Date/Publication: 2021-09-23 18:30:02 UTC

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Package tidycensus updated to version 1.1 with previous version 1.0 dated 2021-05-19

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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 man/get_decennial.Rd   |    4 
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 18 files changed, 374 insertions(+), 220 deletions(-)

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Package shinyFeedback updated to version 0.4.0 with previous version 0.3.0 dated 2020-09-22

Title: Display User Feedback in Shiny Apps
Description: Easily display user feedback in Shiny apps.
Author: Andy Merlino [aut, cre], Patrick Howard [aut]
Maintainer: Andy Merlino <andy.merlino@tychobra.com>

Diff between shinyFeedback versions 0.3.0 dated 2020-09-22 and 0.4.0 dated 2021-09-23

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 NAMESPACE                              |    1 
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New package hierSDR with initial version 0.1
Package: hierSDR
Title: Hierarchical Sufficient Dimension Reduction
Version: 0.1
Description: Provides semiparametric sufficient dimension reduction for central mean subspaces for heterogeneous data defined by combinations of binary factors (such as chronic conditions). Subspaces are estimated to be hierarchically nested to respect the structure of subpopulations with overlapping characteristics. This package is an implementation of the proposed methodology of Huling and Yu (2021) <doi:10.1111/biom.13546>.
BugReports: https://github.com/jaredhuling/hierSDR/issues
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.2.0), MASS, Matrix, locfit, lbfgs
Imports: numDeriv, optimx
NeedsCompilation: no
Packaged: 2021-09-23 16:46:15 UTC; huling
Author: Jared Huling [aut, cre]
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-23 18:20:02 UTC

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New package DataFakeR with initial version 0.1.2
Package: DataFakeR
Title: Generate Fake Data for Relational Databases
Version: 0.1.2
Maintainer: Krystian Igras <krystian8207@gmail.com>
Description: Based on provided database description and/or database connection generate data sample preserving source structure.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: yaml, purrr, tidygraph, dplyr (>= 1.0.0), tibble, magrittr, glue, R6
Suggests: DBI, charlatan, stringr, stringi, rmarkdown, knitr, covr, lintr, httr, mockery, testthat (>= 3.0.0), rcmdcheck
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-23 11:53:28 UTC; krystian
Author: Krystian Igras [aut, cre], Kamil Wais [ctb], Adam Foryś [ctb], Adam Leśniewski [ctb], Paweł Kawski [ctb]
Repository: CRAN
Date/Publication: 2021-09-23 18:10:06 UTC

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New package cvam with initial version 0.9.0
Package: cvam
Title: Coarsened Variable Modeling
Version: 0.9.0
Date: 2021-09-22
Author: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Maintainer: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Description: Extends R's implementation of categorical variables (factors) to handle coarsened observations; implements log-linear models for coarsened categorical data, including latent-class models. Detailed information and examples are provided in the package vignettes.
Depends: R (>= 3.3.0)
Imports: stats, Formula, coda
Suggests: nnet, lme4, MASS, xtable, sticky
License: GPL-3 | file LICENSE
LazyData: yes
NeedsCompilation: yes
Packaged: 2021-09-23 13:23:49 UTC; schaf310
Repository: CRAN
Date/Publication: 2021-09-23 18:10:02 UTC

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Package bggAnalytics updated to version 0.2.0 with previous version 0.1.1 dated 2020-10-22

Title: BoardGameGeek's Board Game Data Analysis Tools
Description: Tools for analysing board game data. Mainly focused on providing an interface for BoardGameGeek's XML API2 through R6 class system objects. More details about the BoardGameGeek's API can be obtained here <https://boardgamegeek.com/wiki/page/BGG_XML_API2>.
Author: Jakub Bujnowicz [aut, cre]
Maintainer: Jakub Bujnowicz <bujnowiczgithub@gmail.com>

Diff between bggAnalytics versions 0.1.1 dated 2020-10-22 and 0.2.0 dated 2021-09-23

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Package lakemorpho updated to version 1.2.0 with previous version 1.1.1 dated 2018-02-11

Title: Lake Morphometry Metrics
Description: Lake morphometry metrics are used by limnologists to understand, among other things, the ecological processes in a lake. Traditionally, these metrics are calculated by hand, with planimeters, and increasingly with commercial GIS products. All of these methods work; however, they are either outdated, difficult to reproduce, or require expensive licenses to use. The 'lakemorpho' package provides the tools to calculate a typical suite of these metrics from an input elevation model and lake polygon. The metrics currently supported are: fetch, major axis, minor axis, major/minor axis ratio, maximum length, maximum width, mean width, maximum depth, mean depth, shoreline development, shoreline length, surface area, and volume.
Author: Jeffrey W. Hollister [aut, cre] (<https://orcid.org/0000-0002-9254-9740>), Jemma Stachelek [aut] (<https://orcid.org/0000-0002-5924-2464>)
Maintainer: Jeffrey W. Hollister <hollister.jeff@epa.gov>

Diff between lakemorpho versions 1.1.1 dated 2018-02-11 and 1.2.0 dated 2021-09-23

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Package unnest updated to version 0.0.3 with previous version 0.0.2 dated 2020-09-22

Title: Unnest Hierarchical Data Structures
Description: Fast flattening of hierarchical data structures (e.g. JSON, XML) into data.frames with a flexible spec language.
Author: Vitalie Spinu [aut, cre]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

Diff between unnest versions 0.0.2 dated 2020-09-22 and 0.0.3 dated 2021-09-23

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More information about unnest at CRAN
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Package styler updated to version 1.6.2 with previous version 1.6.1 dated 2021-09-17

Title: Non-Invasive Pretty Printing of R Code
Description: Pretty-prints R code without changing the user's formatting intent.
Author: Kirill Müller [aut], Lorenz Walthert [cre, aut]
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

Diff between styler versions 1.6.1 dated 2021-09-17 and 1.6.2 dated 2021-09-23

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Package sirt updated to version 3.10-118 with previous version 3.9-4 dated 2020-02-17

Title: Supplementary Item Response Theory Models
Description: Supplementary functions for item response models aiming to complement existing R packages. The functionality includes among others multidimensional compensatory and noncompensatory IRT models (Reckase, 2009, <doi:10.1007/978-0-387-89976-3>), MCMC for hierarchical IRT models and testlet models (Fox, 2010, <doi:10.1007/978-1-4419-0742-4>), NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>), Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>; Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>), faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011, <doi:10.1111/j.1745-3984.2011.00143.x>), ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>), DETECT statistic (Stout, Habing, Douglas & Kim, 1996, <doi:10.1177/014662169602000403>), local structural equation modeling (LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016, <doi:10.1080/00273171.2016.1142856>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between sirt versions 3.9-4 dated 2020-02-17 and 3.10-118 dated 2021-09-23

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Package recmap updated to version 1.0.11 with previous version 1.0.9 dated 2021-05-10

Title: Compute the Rectangular Statistical Cartogram
Description: Provides an interface and a C++ implementation of the RecMap MP2 construction heuristic (Panse C. (2018) <doi:10.18637/jss.v086.c01>). This algorithm draws maps according to a given statistical value (e.g., election results, population or epidemiological data). The basic idea of the RecMap algorithm is that each map region (e.g., different countries) is represented by a rectangle. The area of each rectangle represents the statistical value given as input (maintain zero cartographic error). Documentation about the usage of the recmap algorithm is provided by a vignette included in this package.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>)
Maintainer: Christian Panse <Christian.Panse@gmail.com>

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Package populR updated to version 0.1.1 with previous version 0.1.0 dated 2021-09-09

Title: Population Down-Scaling
Description: Population down-scaling from census blocks to building units using Areametric and Volumetric approaches. The aforementioned methods were adopted by Lwin K. K. and Murayama Y. work <doi:10.1111/j.1467-9671.2009.01171.x>.
Author: Marios Batsaris
Maintainer: Marios Batsaris <m.batsaris@aegean.gr>

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Package IncDTW updated to version 1.1.4.3 with previous version 1.1.4.2 dated 2020-10-09

Title: Incremental Calculation of Dynamic Time Warping
Description: The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>. For details about this package, Dynamic Time Warping and Incremental Dynamic Time Warping please see "IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping" by Leodolter et al. (2021) <doi:10.18637/jss.v099.i09>.
Author: Maximilian Leodolter
Maintainer: Maximilian Leodolter <maximilian.leodolter@gmail.com>

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Package ExtremalDep updated to version 0.0.3-4 with previous version 0.0.3-3 dated 2020-01-16

Title: Extremal Dependence Models
Description: A set of procedures for modelling parametrically and non-parametrically the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. Adapts the methodologies derived in Beranger et al. (2019) <arxiv:1904.08251>, Beranger et al. (2017) <doi:10.1111/sjos.12240>, Beranger and Padoan (2015) <arxiv:1508.05561>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Marcon et al. (2016) <doi:10.1214/16-EJS1162>. It also refers to the works of Bortot (2010) <https://www.semanticscholar.org/paper/Tail-dependence-in-bivariate-skew-Normal-and-skew-t-Bortot/b0dc1cb608d35bf515c76e39aacc14b4de82e281?p2df>, Padoan (2011) <doi:10.1016/j.jmva.2011.01.014>, Cooley et al. (2010) <doi:10.1016/j.jmva.2010.04.007>, Husler and Reiss (1989) <doi:10.1016/0167-7152(89)90106-5>, Engelke et al. (2015) <doi:10.1111/rssb.12074>, Coles and Tawn (1991) <doi:10.1111/j.2517-6161.1991.tb01830.x>, Nikoloulopoulos et al. (2011) <doi:10.1007/s10687-008-0072-4>, Opitz (2013) <doi:10.1016/j.jmva.2013.08.008>, Tawn (1990) <doi:10.2307/2336802>, Azzalini and Capitanio (2014) <doi:10.1017/CBO9781139248891>, Azzalini (2003) <doi:10.1111/1467-9469.00322>, Azzalini and Capitanio (1999) <doi:10.1111/1467-9868.00194>, Azzalini and Dalla Valle (1996) <doi:10.1093/biomet/83.4.715>, Einmahl et al. (2013) <doi:10.1007/s10687-012-0156-z>, Naveau et al (2009) <doi:10.1093/biomet/asp001> and Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>.
Author: Boris Beranger [aut] (<https://orcid.org/0000-0002-7944-3925>), Simone Padoan [cre, aut] (<https://orcid.org/0000-0002-0417-7570>), Giulia Marcon [aut], Steven G. Johnson [ctb] (Author of included cubature fragments)
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package digest updated to version 0.6.28 with previous version 0.6.27 dated 2020-10-24

Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash', 'spookyhash' and 'blake3' algorithms) permitting easy comparison of R language objects, as well as functions such as'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Author: Dirk Eddelbuettel <edd@debian.org> with contributions by Antoine Lucas, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek, Mario Frasca, Bryan Lewis, Murray Stokely, Hannes Muehleisen, Duncan Murdoch, Jim Hester, Wush Wu, Qiang Kou, Thierry Onkelinx, Michel Lang, Viliam Simko, Kurt Hornik, Radford Neal, Kendon Bell, Matthew de Queljoe, Ion Suruceanu, Bill Denney, Dirk Schumacher, and Winston Chang.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package catchr updated to version 0.2.31 with previous version 0.2.3 dated 2020-08-31

Title: Taking the Pain Out of Catching and Handling Conditions
Description: R has a unique way of dealing with warnings, errors, messages, and other conditions, but it can often be troublesome to users coming from different programming backgrounds. The purpose of this package is to provide flexible and useful tools for handling R conditions with less hassle. In order to lower the barrier of entry, keep code clean and readable, and reduce the amount of typing required, `catchr` uses a very simple domain-specific language that simplifies things on the front-end. This package aims to maintain a continuous learning curve that lets new users jump straight in to condition-handling, while simultaneously offering depth and complexity for more advanced users.
Author: Zachary Burchill [aut, cre, cph]
Maintainer: Zachary Burchill <zach.burchill.code@gmail.com>

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Package biblio updated to version 0.0.2 with previous version 0.0.1 dated 2021-09-23

Title: Interacting with BibTeX Databases
Description: Reading and writing BibTeX files using data frames in R sessions.
Author: Miguel Alvarez [aut, cre] (<https://orcid.org/0000-0003-1500-1834>)
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

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Package adoption updated to version 0.6.4 with previous version 0.6.2 dated 2019-04-01

Title: Modelling Adoption Process in Marketing
Description: The classical Bass (1969) <doi:10.1287/mnsc.15.5.215> model and the agent based models, such as that by Goldenberg, Libai and Muller (2010) <doi:10.1016/j.ijresmar.2009.06.006> have been two different approaches to model adoption processes in marketing. These two approaches can be unified by explicitly modelling the utility functions. This package provides a GUI that allows, in a unified way, the modelling of these two processes and other processes.
Author: Martin Schlather [aut, cre]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>

Diff between adoption versions 0.6.2 dated 2019-04-01 and 0.6.4 dated 2021-09-23

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More information about adoption at CRAN
Permanent link

Package SignifReg updated to version 4.2 with previous version 4.1 dated 2021-06-30

Title: Consistent Significance Controlled Variable Selection in Generalized Linear Regression
Description: Provides significance controlled variable selection algorithms with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a final model with only significant variables defined as those with significant p-values after multiple testing correction such as Bonferroni, False Discovery Rate, etc.
Author: Jongwook Kim, Adriano Zanin Zambom
Maintainer: Adriano Zanin Zambom <adriano.zambom@csun.edu>

Diff between SignifReg versions 4.1 dated 2021-06-30 and 4.2 dated 2021-09-23

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More information about SignifReg at CRAN
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Package resourcer updated to version 1.1.1 with previous version 1.1.0 dated 2020-11-03

Title: Resource Resolver
Description: A resource represents some data or a computation unit. It is described by a URL and credentials. This package proposes a Resource model with "resolver" and "client" classes to facilitate the access and the usage of the resources.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between resourcer versions 1.1.0 dated 2020-11-03 and 1.1.1 dated 2021-09-23

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More information about resourcer at CRAN
Permanent link

Package RavenR updated to version 2.1.4 with previous version 2.1.0 dated 2021-06-10

Title: Raven Hydrological Modelling Framework R Support and Analysis
Description: Utilities for processing input and output files associated with the Raven Hydrological Modelling Framework. Includes various plotting functions, model diagnostics, reading output files into extensible time series format, and support for writing Raven input files. The RavenR package is also archived at Chlumsky et al. (2020) <doi:10.5281/zenodo.4248183>. The Raven Hydrologic Modelling Framework method can be referenced with Craig et al. (2020) <doi:10.1016/j.envsoft.2020.104728>.
Author: Robert Chlumsky [cre, aut] (<https://orcid.org/0000-0002-1303-5064>), James Craig [ctb, aut] (<https://orcid.org/0000-0003-2715-7166>), Leland Scantlebury [ctb, aut], Simon Lin [ctb, aut], Sarah Grass [ctb, aut], Genevieve Brown [ctb, aut], Rezgar Arabzadeh [ctb, aut]
Maintainer: Robert Chlumsky <rchlumsk@uwaterloo.ca>

Diff between RavenR versions 2.1.0 dated 2021-06-10 and 2.1.4 dated 2021-09-23

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Package PH1XBAR updated to version 0.10.1 with previous version 0.9.4 dated 2021-09-13

Title: Phase I Shewhart X-Bar Chart
Description: The purpose of 'PH1XBAR' is to build a Phase I Shewhart control chart for the basic Shewhart, the variance components and the ARMA models in R for subgrouped and individual data. More details can be found: Yao and Chakraborti (2020) <doi: 10.1002/qre.2793>, and Yao and Chakraborti (2021) <doi: 10.1080/08982112.2021.1878220>.
Author: Yuhui Yao [aut, cre], Subha Chakraborti [ctb], Tyler Thomas [ctb], Jason Parton [ctb], Xin Yang [ctb]
Maintainer: Yuhui Yao <yyao17@cba.ua.edu>

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Package LSDsensitivity updated to version 1.1.0 with previous version 0.3.2 dated 2018-12-09

Title: Sensitivity Analysis Tools for LSD Simulations
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <https://www.labsimdev.org/>).
Author: Marcelo C. Pereira [aut, cre] (<https://orcid.org/0000-0002-8069-2734>)
Maintainer: Marcelo C. Pereira <mcper@unicamp.br>

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Package ichimoku updated to version 1.2.1 with previous version 1.2.0 dated 2021-09-20

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting originating from Japan, now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] (<https://orcid.org/0000-0002-0750-061X>)
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package GLMcat updated to version 0.2.4 with previous version 0.2.3 dated 2021-05-18

Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix.
Author: Lorena León [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer: Lorena León <ylorenaleonv@gmail.com>

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Package asremlPlus updated to version 4.3-21 with previous version 4.3-19 dated 2021-09-02

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Also used to display, in tables and graphs, predictions obtained using any model fitting function and to explore differences between predictions. The content falls into the following natural groupings: (i) Data, (ii) Object manipulation functions, (iii) Model modification functions, (iv) Model testing functions, (v) Model diagnostics functions, (vi) Prediction production and presentation functions, (vii) Response transformation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). A history of the fitting of a sequence of models is kept in a data frame. Procedures are available for choosing models that conform to the hierarchy or marginality principle and for displaying predictions for significant terms in tables and graphs. The 'asreml' package provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial package that can be purchased from 'VSNi' <https://www.vsni.co.uk/> as 'asreml-R', who will supply a zip file for local installation/updating (see <https://asreml.kb.vsni.co.uk/>). It is not needed for functions that are methods for 'alldiffs' and 'data.frame' objects. The package 'asremPlus' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre] (<https://orcid.org/0000-0003-0581-1817>)
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package lgpr updated to version 1.1.5 with previous version 1.1.4 dated 2021-08-11

Title: Longitudinal Gaussian Process Regression
Description: Interpretable nonparametric modeling of longitudinal data using additive Gaussian process regression. Contains functionality for inferring covariate effects and assessing covariate relevances. Models are specified using a convenient formula syntax, and can include shared, group-specific, non-stationary, heterogeneous and temporally uncertain effects. Bayesian inference for model parameters is performed using 'Stan'. The modeling approach and methods are described in detail in Timonen et al. (2021) <doi:10.1093/bioinformatics/btab021>.
Author: Juho Timonen [aut, cre] (<https://orcid.org/0000-0003-2341-6765>)
Maintainer: Juho Timonen <juho.timonen@iki.fi>

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Package carat updated to version 2.0 with previous version 1.5 dated 2021-07-25

Title: Covariate-Adaptive Randomization for Clinical Trials
Description: Provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria.
Author: Fuyi Tu [aut], Xiaoqing Ye [aut, cre], Wei Ma [aut, ths], Feifang Hu [aut, ths]
Maintainer: Xiaoqing Ye <ye_xiaoq@163.com>

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Package BWGS updated to version 0.2.1 with previous version 0.2.0 dated 2021-09-09

Title: BreedWheat Genomic Selection Pipeline
Description: Package for Breed Wheat Genomic Selection Pipeline. The R package 'BWGS' is developed by Louis Gautier Tran <louis.gautier.tran@gmail.com> and Gilles Charmet <gilles.charmet@inra.fr>. This repository is forked from original repository <https://forgemia.inra.fr/umr-gdec/bwgs> and modified as a R package.
Author: Louis Gautier Tran [aut], Gilles Charmet [aut], Bangyou Zheng [cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

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Package RAthena updated to version 2.2.0 with previous version 2.1.0 dated 2021-07-27

Title: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description: Designed to be compatible with the R package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this 'Python' 'Boto3' Software Development Kit ('SDK') <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package noctua updated to version 2.2.0 with previous version 2.1.0 dated 2021-07-27

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package qsub updated to version 1.1.3 with previous version 1.1.2 dated 2021-05-12

Title: Running Commands Remotely on 'Gridengine' Clusters
Description: Run lapply() calls in parallel by submitting them to 'gridengine' clusters using the 'qsub' command.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package psfmi updated to version 1.0.0 with previous version 0.7.1 dated 2021-01-13

Title: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets
Description: Pooling, backward and forward selection of linear, logistic and Cox regression models in multiply imputed datasets. Backward and forward selection can be done from the pooled model using Rubin's Rules (RR), the D1, D2, D3, D4 and the median p-values method. This is also possible for Mixed models. The models can contain continuous, dichotomous, categorical and restricted cubic spline predictors and interaction terms between all these type of predictors. The stability of the models can be evaluated using bootstrapping and cluster bootstrapping. The package further contains functions to pool the model performance as ROC/AUC, R-squares, scaled Brier score, H&L test and calibration plots for logistic regression models. Internal validation can be done with cross-validation or bootstrapping. The adjusted intercept after shrinkage of pooled regression coefficients can be obtained. Backward and forward selection as part of internal validation is possible. A function to externally validate logistic prediction models in multiple imputed datasets is available and a function to compare models. Eekhout (2017) <doi:10.1186/s12874-017-0404-7>. Wiel (2009) <doi:10.1093/biostatistics/kxp011>. Marshall (2009) <doi:10.1186/1471-2288-9-57>.
Author: Martijn Heymans [cre, aut] (<https://orcid.org/0000-0002-3889-0921>), Iris Eekhout [ctb]
Maintainer: Martijn Heymans <mw.heymans@amsterdamumc.nl>

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Package mgcv updated to version 1.8-37 with previous version 1.8-36 dated 2021-06-01

Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>

Diff between mgcv versions 1.8-36 dated 2021-06-01 and 1.8-37 dated 2021-09-23

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New package MazamaRollUtils with initial version 0.1.3
Package: MazamaRollUtils
Title: Efficient Rolling Functions
Version: 0.1.3
Date: 2021-09-15
Author: Jonathan Callahan [aut, cre], Hans Martin [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Description: A suite of compiled functions calculating rolling mins, means, maxes and other statistics. This package is designed to meet the needs of data processing systems for environmental time series.
License: GPL-3
URL: https://github.com/MazamaScience/MazamaRollUtils
BugReports: https://github.com/MazamaScience/MazamaRollUtils/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.6),
Suggests: knitr, markdown, rmarkdown, roxygen2, testthat (>= 2.1.0), zoo
LinkingTo: Rcpp
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2021-09-23 07:07:26 UTC; jonathancallahan
Repository: CRAN
Date/Publication: 2021-09-23 09:10:02 UTC

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Package bfsl updated to version 0.2.0 with previous version 0.1.0 dated 2018-12-16

Title: Best-Fit Straight Line
Description: How to fit a straight line through a set of points with errors in both coordinates? The 'bfsl' package implements the York regression (York, 2004 <doi:10.1119/1.1632486>). It provides unbiased estimates of the intercept, slope and standard errors for the best-fit straight line to independent points with (possibly correlated) normally distributed errors in both x and y. Other commonly used errors-in-variables methods, such as orthogonal distance regression, geometric mean regression or Deming regression are special cases of the 'bfsl' solution.
Author: Patrick Sturm [aut, cre]
Maintainer: Patrick Sturm <sturm@tofwerk.com>

Diff between bfsl versions 0.1.0 dated 2018-12-16 and 0.2.0 dated 2021-09-23

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Package gorica (with last version 0.1.1) was removed from CRAN

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

2021-09-09 0.1.1
2019-12-13 0.1.0

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

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

2021-09-08 1.1.1
2021-08-19 1.1.0
2021-06-14 1.0.7
2021-05-10 1.0.5

Permanent link
Package rdomains (with last version 0.1.9) was removed from CRAN

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

2020-08-11 0.1.9

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Package Guerry (with last version 1.7.1) was removed from CRAN

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

2021-07-29 1.7.1
2020-01-29 1.7.0
2014-09-26 1.6-1

Permanent link
New package weaana with initial version 0.1.0
Package: weaana
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>
Title: Analysis the Weather Data
Description: Functions are collected to analyse weather data for agriculture purposes including to read weather records in multiple formats, calculate extreme climate index.
License: MIT + file LICENSE
URL: https://weaana.bangyou.me/, https://github.com/byzheng/weaana
BugReports: https://github.com/byzheng/weaana/issues
Encoding: UTF-8
Version: 0.1.0
Date: 2021-09-06
LazyData: true
Depends: R (>= 3.5.0)
Imports: methods, stats, settings, reshape2, lubridate, magrittr, rlang, dplyr, tibble
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-09-23 05:21:13 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Repository: CRAN
Date/Publication: 2021-09-23 09:00:01 UTC

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New package spatialRF with initial version 1.1.3
Package: spatialRF
Title: Easy Spatial Modeling with Random Forest
Version: 1.1.3
URL: https://blasbenito.github.io/spatialRF/
BugReports: https://github.com/BlasBenito/spatialRF/issues/
Description: Automatic generation and selection of spatial predictors for spatial regression with Random Forest. Spatial predictors are surrogates of variables driving the spatial structure of a response variable. The package offers two methods to generate spatial predictors from a distance matrix among training cases: 1) Moran's Eigenvector Maps (MEMs; Dray, Legendre, and Peres-Neto 2006 <DOI:10.1016/j.ecolmodel.2006.02.015>): computed as the eigenvectors of a weighted matrix of distances; 2) RFsp (Hengl et al. <DOI:10.7717/peerj.5518>): columns of the distance matrix used as spatial predictors. Spatial predictors help minimize the spatial autocorrelation of the model residuals and facilitate an honest assessment of the importance scores of the non-spatial predictors. Additionally, functions to reduce multicollinearity, identify relevant variable interactions, tune random forest hyperparameters, assess model transferability via spatial cross-validation, and explore model results via partial dependence curves and interaction surfaces are included in the package. The modelling functions are built around the highly efficient 'ranger' package (Wright and Ziegler 2017 <DOI:10.18637/jss.v077.i01>).
License: GPL-3
Depends: R (>= 2.10)
Imports: dplyr, ggplot2, magrittr, stats, tibble, utils, foreach, doParallel, ranger, rlang, tidyr, tidyselect, huxtable, patchwork, viridis
Suggests: testthat, spelling
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2021-09-22 19:52:55 UTC; blas
Author: Blas M. Benito [aut, cre, cph] (<https://orcid.org/0000-0001-5105-7232>)
Maintainer: Blas M. Benito <blasbenito@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-23 08:30:02 UTC

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New package jgcricolors with initial version 1.0.0
Package: jgcricolors
Title: Manage 'JGCRI' Color Palettes
Version: 1.0.0
Description: Color palettes used by the Pacific Northwest National Laboratory - Joint Global Change Research Institute for maps and charts.
URL: https://github.com/JGCRI/jgcricolors
BugReports: https://github.com/JGCRI/jgcricolors/issues
Depends: R (>= 2.10)
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: knitr, graphics, ggplot2, RColorBrewer, stringr, markdown
Suggests: rmarkdown, testthat, dplyr
VignetteBuilder: knitr, ggplot2, RColorBrewer
NeedsCompilation: no
Packaged: 2021-09-22 20:37:32 UTC; khan404
Author: Zarrar Khan [aut, cre] (<https://orcid.org/0000-0002-8147-8553>), Chris Vernon [aut] (<https://orcid.org/0000-0002-3406-6214>), Mengqi Zhao [aut] (<https://orcid.org/0000-0001-5385-2758>), Thomas Wild [aut] (<https://orcid.org/0000-0002-6045-7729>)
Maintainer: Zarrar Khan <zarrar.khan@pnnl.gov>
Repository: CRAN
Date/Publication: 2021-09-23 08:40:02 UTC

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New package d3po with initial version 0.3.2
Package: d3po
Title: Fast and Beautiful Interactive Visualization for 'Markdown' and 'Shiny'
Version: 0.3.2
Description: Apache licensed alternative to 'Highcharter' which provides functions for both fast and beautiful interactive visualization for 'Markdown' and 'Shiny'.
Depends: htmlwidgets, magrittr, R (>= 2.10)
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Imports: assertthat, dplyr, purrr, rlang
Suggests: knitr, igraph, rmarkdown
VignetteBuilder: knitr
Packaged: 2021-09-22 22:50:03 UTC; pacha
Author: Mauricio Vargas [aut, cre, cph], John Coene [aut], Riva Quiroga [ctb], Ariel Alvarado [ctb], Sylvain Lesage [ctb], Curran Kelleher [ctb], Fernando Becerra [ctb], R Consortium [fnd]
Maintainer: Mauricio Vargas <mavargas11@uc.cl>
Repository: CRAN
Date/Publication: 2021-09-23 08:40:05 UTC

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New package BPmodel with initial version 1.1.2
Package: BPmodel
Title: Beta-Prime Regression Model
Version: 1.1.2
Author: Manoel Santos-Neto [aut, cre], Marcelo Bourguignon [aut], Mário de Castro [aut], Tales Ribeiro-Bezerra [aut]
Maintainer: Manoel Santos-Neto <manoel.ferreira@professor.ufcg.edu.br>
Description: A new regression model for positive random variables with skewed and long tail.
License: GPL-3
URL: https://github.com/santosneto/BPmodel
BugReports: https://github.com/santosneto/BPmodel/issues
Depends: R (>= 3.1.2)
Imports: base, extraDistr, gamlss, gamlss.dist, ggplot2, Deriv, dplyr, graphics, pracma
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-23 02:10:15 UTC; Tales
Repository: CRAN
Date/Publication: 2021-09-23 09:00:04 UTC

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New package biblio with initial version 0.0.1
Package: biblio
Version: 0.0.1
Encoding: UTF-8
Title: Interacting with BibTeX Databases
Depends: R(>= 3.5.0)
Imports: methods, stringr, yamlme
Suggests: covr, devtools, rmarkdown, testthat
LazyData: true
Description: Reading and writing BibTeX files using data frames in R sessions.
License: GPL (>= 2)
URL: https://github.com/kamapu/biblio
BugReports: https://github.com/kamapu/biblio/issues
NeedsCompilation: no
Packaged: 2021-09-22 18:26:09 UTC; miguel
Author: Miguel Alvarez [aut, cre] (<https://orcid.org/0000-0003-1500-1834>)
Maintainer: Miguel Alvarez <kamapu78@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-23 08:30:06 UTC

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Package WorldFlora updated to version 1.9 with previous version 1.8 dated 2021-08-10

Title: Standardize Plant Names According to World Flora Online Taxonomic Backbone
Description: World Flora Online is an online flora of all known plants, available from <http://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

Diff between WorldFlora versions 1.8 dated 2021-08-10 and 1.9 dated 2021-09-23

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 MD5                 |   16 
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 R/new.backbone.R    |   93 ++---
 build/partial.rdb   |binary
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Package UniprotR updated to version 2.1.0 with previous version 2.0.8 dated 2021-07-10

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

Diff between UniprotR versions 2.0.8 dated 2021-07-10 and 2.1.0 dated 2021-09-23

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 MD5                         |   16 +++++++++++-----
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Package trustOptim updated to version 0.8.7.1 with previous version 0.8.6.2 dated 2018-03-27

Title: Trust Region Optimization for Nonlinear Functions with Sparse Hessians
Description: Trust region algorithm for nonlinear optimization. Efficient when the Hessian of the objective function is sparse (i.e., relatively few nonzero cross-partial derivatives). See Braun, M. (2014) <doi:10.18637/jss.v060.i04>.
Author: Michael Braun [aut, cre, cph] (<https://orcid.org/0000-0003-4774-2119>)
Maintainer: Michael Braun <braunm@smu.edu>

Diff between trustOptim versions 0.8.6.2 dated 2018-03-27 and 0.8.7.1 dated 2021-09-23

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Package tigris updated to version 1.5 with previous version 1.4.1 dated 2021-06-18

Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as 'sf' objects.
Author: Kyle Walker [aut, cre], Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tigris versions 1.4.1 dated 2021-06-18 and 1.5 dated 2021-09-23

 DESCRIPTION                        |    8 +-
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Package r2dii.match updated to version 0.0.11 with previous version 0.0.10 dated 2021-06-29

Title: Tools to Match Corporate Lending Portfolios with Climate Data
Description: These tools implement in R a fundamental part of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial portfolios and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals. This package matches data from corporate lending portfolios to asset level data from market-intelligence databases (e.g. power plant capacities, emission factors, etc.). This is the first step to assess if a financial portfolio aligns with climate goals.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], Florence Palandri [aut], Evgeny Petrovsky [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

Diff between r2dii.match versions 0.0.10 dated 2021-06-29 and 0.0.11 dated 2021-09-23

 DESCRIPTION                      |    6 +++---
 MD5                              |    8 ++++----
 NEWS.md                          |    4 ++++
 README.md                        |   24 +++++-------------------
 tests/testthat/test-match_name.R |    2 +-
 5 files changed, 17 insertions(+), 27 deletions(-)

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Package patrick updated to version 0.0.4 with previous version 0.0.3 dated 2020-10-27

Title: Parameterized Unit Testing
Description: This is an extension of the 'testthat' package that lets you add parameters to your unit tests. Parameterized unit tests are often easier to read and more reliable, since they follow the DNRY (do not repeat yourself) rule.
Author: Michael Quinn [aut, cre]
Maintainer: Michael Quinn <msquinn@google.com>

Diff between patrick versions 0.0.3 dated 2020-10-27 and 0.0.4 dated 2021-09-23

 DESCRIPTION                           |    7 ++-
 MD5                                   |    8 ++--
 NEWS.md                               |    7 +++
 R/with_parameters.R                   |   18 +++++++++-
 tests/testthat/test-with_parameters.R |   60 ++++++++++++++++++++++++++++++++--
 5 files changed, 90 insertions(+), 10 deletions(-)

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Package jsmodule updated to version 1.1.9 with previous version 1.1.8 dated 2021-08-09

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jsmodule versions 1.1.8 dated 2021-08-09 and 1.1.9 dated 2021-09-23

 DESCRIPTION            |    8 +--
 MD5                    |   16 +++----
 NAMESPACE              |    1 
 NEWS.md                |    6 ++
 R/timeroc.R            |  107 ++++++++++++++++++++++++++++---------------------
 build/vignette.rds     |binary
 inst/doc/jsmodule.html |    5 +-
 man/timeROC_table.Rd   |    8 +--
 man/timeROChelper.Rd   |    7 ---
 9 files changed, 90 insertions(+), 68 deletions(-)

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