Sat, 10 Feb 2024

Package AirMonitor updated to version 0.4.0 with previous version 0.3.12 dated 2023-08-25

Title: Air Quality Data Analysis
Description: Utilities for working with hourly air quality monitoring data with a focus on small particulates (PM2.5). A compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Algorithms to calculate NowCast and the associated Air Quality Index (AQI) are defined at the US Environmental Projection Agency AirNow program: <https://www.airnow.gov/sites/default/files/2020-05/aqi-technical-assistance-document-sept2018.pdf>.
Author: Jonathan Callahan [aut, cre], Spencer Pease [ctb], Hans Martin [ctb], Rex Thompson [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package bnma updated to version 1.6.0 with previous version 1.5.1 dated 2023-08-15

Title: Bayesian Network Meta-Analysis using 'JAGS'
Description: Network meta-analyses using Bayesian framework following Dias et al. (2013) <DOI:10.1177/0272989X12458724>. Based on the data input, creates prior, model file, and initial values needed to run models in 'rjags'. Able to handle binomial, normal and multinomial arm-level data. Can handle multi-arm trials and includes methods to incorporate covariate and baseline risk effects. Includes standard diagnostics and visualization tools to evaluate the results.
Author: Michael Seo [aut, cre], Christopher Schmid [aut]
Maintainer: Michael Seo <swj8874@gmail.com>

Diff between bnma versions 1.5.1 dated 2023-08-15 and 1.6.0 dated 2024-02-10

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Package strategicplayers updated to version 1.1 with previous version 1.0 dated 2016-09-22

Title: Strategic Players
Description: Identifies individuals in a social network who should be the intervention subjects for a network intervention in which you have a group of targets, a group of avoiders, and a group that is neither.
Author: Miles Ott
Maintainer: Miles Ott <miles_ott@alumni.brown.edu>

Diff between strategicplayers versions 1.0 dated 2016-09-22 and 1.1 dated 2024-02-10

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Package fetch updated to version 0.1.5 with previous version 0.1.4 dated 2023-12-04

Title: Fetch Data from Various Data Sources
Description: Contains functions to fetch data from various data sources. The user first creates a catalog of objects from a data source, then fetches data from the catalog. The package provides an easy way to access data from many different types of sources.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between fetch versions 0.1.4 dated 2023-12-04 and 0.1.5 dated 2024-02-10

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New package RobLox with initial version 1.2.1
Package: RobLox
Version: 1.2.1
Date: 2024-02-10
Title: Optimally Robust Influence Curves and Estimators for Location and Scale
Description: Functions for the determination of optimally robust influence curves and estimators in case of normal location and/or scale (see Chapter 8 in Kohl (2005) <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).
Depends: R(>= 3.4), stats, distrMod(>= 2.8.0), RobAStBase(>= 1.2.0)
Imports: methods, lattice, RColorBrewer, Biobase, RandVar(>= 1.2.0), distr(>= 2.8.0)
Suggests: MASS
ByteCompile: yes
License: LGPL-3
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate: 2024-02-04 09:41:04 +0100 (So, 04. Feb 2024) $}
LastChangedRevision: {$LastChangedRevision: 1271 $}
VCS/SVNRevision: 1214
NeedsCompilation: no
Packaged: 2024-02-10 08:31:23 UTC; kohlm
Author: Matthias Kohl [cre, cph], Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Repository: CRAN
Date/Publication: 2024-02-10 23:50:03 UTC

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Package HH updated to version 3.1-52 with previous version 3.1-51 dated 2024-01-31

Title: Statistical Analysis and Data Display: Heiberger and Holland
Description: Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
Author: Richard M. Heiberger
Maintainer: Richard M. Heiberger <rmh@temple.edu>

Diff between HH versions 3.1-51 dated 2024-01-31 and 3.1-52 dated 2024-02-10

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Package SPEDInstabR updated to version 2.2 with previous version 2.1 dated 2023-11-07

Title: Estimation of the Relative Importance of Factors Affecting Species Distribution Based on Stability Concept
Description: From output files obtained from the software 'ModestR', the relative contribution of factors to explain species distribution is depicted using several plots. A global geographic raster file for each environmental variable may be also obtained with the mean relative contribution, considering all species present in each raster cell, of the factor to explain species distribution. Finally, for each variable it is also possible to compare the frequencies of any variable obtained in the cells where the species is present with the frequencies of the same variable in the cells of the extent.
Author: Castor Guisande Gonzalez
Maintainer: Castor Guisande Gonzalez <castor@uvigo.es>

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Package NeuralSens updated to version 1.1.2 with previous version 1.1.1 dated 2024-01-12

Title: Sensitivity Analysis of Neural Networks
Description: Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point <doi:10.18637/jss.v102.i07>.
Author: Jose Portela Gonzalez [aut], Antonio Munoz San Roque [aut], Jaime Pizarroso Gonzalo [aut, ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>

Diff between NeuralSens versions 1.1.1 dated 2024-01-12 and 1.1.2 dated 2024-02-10

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Package DrugUtilisation updated to version 0.5.0 with previous version 0.4.1 dated 2023-11-23

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [aut] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [ctb] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package oolong updated to version 0.6.0 with previous version 0.5.0 dated 2023-08-25

Title: Create Validation Tests for Automated Content Analysis
Description: Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009, <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. 2021) <doi:10.1017/pan.2021.33> tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) <doi:10.1080/10584609.2020.1723752>.
Author: Chung-hong Chan [aut, cre] , Marius Saeltzer [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package satellite updated to version 1.0.5 with previous version 1.0.4 dated 2021-10-12

Title: Handling and Manipulating Remote Sensing Data
Description: Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set.
Author: Thomas Nauss, Hanna Meyer, Tim Appelhans, Florian Detsch
Maintainer: Florian Detsch <fdetsch@web.de>

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Package explore updated to version 1.1.1 with previous version 1.1.0 dated 2023-10-11

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package TeachingDemos updated to version 2.12.1 with previous version 2.12 dated 2020-04-07

Title: Demonstrations for Teaching and Learning
Description: Demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.
Author: Greg Snow
Maintainer: ORPHANED

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