Sun, 01 Dec 2024

Package quickcode updated to version 1.0.3 with previous version 1.0.2 dated 2024-11-06

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between quickcode versions 1.0.2 dated 2024-11-06 and 1.0.3 dated 2024-12-01

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Package Cyclops updated to version 3.5.0 with previous version 3.4.1 dated 2024-06-06

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between Cyclops versions 3.4.1 dated 2024-06-06 and 3.5.0 dated 2024-12-01

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Package forestmangr updated to version 0.9.8 with previous version 0.9.7 dated 2024-09-14

Title: Forest Mensuration and Management
Description: Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.
Author: Sollano Rabelo Braga [aut, cre, cph], Marcio Leles Romarco de Oliveira [aut], Eric Bastos Gorgens [aut]
Maintainer: Sollano Rabelo Braga <sollanorb@gmail.com>

Diff between forestmangr versions 0.9.7 dated 2024-09-14 and 0.9.8 dated 2024-12-01

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Package fastTS updated to version 1.0.2 with previous version 1.0.1 dated 2024-03-28

Title: Fast Time Series Modeling for Seasonal Series with Exogenous Variables
Description: An implementation of sparsity-ranked lasso and related methods for time series data. This methodology is especially useful for large time series with exogenous features and/or complex seasonality. Originally described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7> in the context of variable selection with interactions and/or polynomials, ranked sparsity is a philosophy with methods useful for variable selection in the presence of prior informational asymmetry. This situation exists for time series data with complex seasonality, as shown in Peterson and Cavanaugh (2024) <doi:10.1177/1471082X231225307>, which also describes this package in greater detail. The sparsity-ranked penalization methods for time series implemented in 'fastTS' can fit large/complex/high-frequency time series quickly, even with a high-dimensional exogenous feature set. The method is considerably faster than its competitors, while often producing more accurate predictions. Also includ [...truncated...]
Author: Ryan Andrew Peterson [aut, cre, cph]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

Diff between fastTS versions 1.0.1 dated 2024-03-28 and 1.0.2 dated 2024-12-01

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Package rank updated to version 0.1.1 with previous version 0.1.0 dated 2024-07-09

Title: Customisable Ranking of Numerical and Categorical Data
Description: Provides a flexible alternative to the built-in rank() function called smartrank(). Optionally rank categorical variables by frequency (instead of in alphabetical order), and control whether ranking is based on descending/ascending order. smartrank() is suitable for both numerical and categorical data.
Author: Sam El-Kamand [aut, cre, cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>

Diff between rank versions 0.1.0 dated 2024-07-09 and 0.1.1 dated 2024-12-01

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Package lightr updated to version 1.8.0 with previous version 1.7.1 dated 2024-03-21

Title: Read Spectrometric Data and Metadata
Description: Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files from 'Avantes' <https://www.avantes.com/>, 'CRAIC' <https://www.microspectra.com/>, and 'OceanOptics'/'OceanInsight' <https://www.oceanoptics.com/> brands.
Author: Hugo Gruson [cre, aut, cph] , Rafael Maia [aut, cph] , Thomas White [aut, cph] , Kotya Karapetyan [ctb, cph] )
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

Diff between lightr versions 1.7.1 dated 2024-03-21 and 1.8.0 dated 2024-12-01

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Package dae updated to version 3.2.30 with previous version 3.2.28 dated 2024-06-12

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. There is a vignette describing how to use the design functions for randomizing and assessing designs available as a vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'. The package 'dae' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between dae versions 3.2.28 dated 2024-06-12 and 3.2.30 dated 2024-12-01

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 dae-3.2.30/dae/DESCRIPTION                                                                                    |    8 -
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 dae-3.2.30/dae/NAMESPACE                                                                                      |    2 
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 dae-3.2.30/dae/build/partial.rdb                                                                              |binary
 dae-3.2.30/dae/build/vignette.rds                                                                             |binary
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 dae-3.2.30/dae/man/dae-package.Rd                                                                             |   23 +--
 dae-3.2.30/dae/man/designBlocksGGPlot.Rd                                                                      |    2 
 dae-3.2.30/dae/man/designGGPlot.Rd                                                                            |   11 -
 dae-3.2.30/dae/man/designPlotlabels.Rd                                                                        |    8 -
 dae-3.2.30/dae/man/fac.multinested.Rd                                                                         |    2 
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 dae-3.2.30/dae/tests/testthat/testCanon.r                                                                     |    6 
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 dae-3.2.30/dae/tests/testthat/testInteractionABCplot.r                                                        |    6 
 dae-3.2.30/dae/tests/testthat/testOneStructure.r                                                              |    2 
 dae-3.2.30/dae/tests/testthat/testSources.r                                                                   |   14 --
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Package scoringfunctions updated to version 1.0 with previous version 0.0.7 dated 2024-11-10

Title: A Collection of Scoring Functions for Assessing Point Forecasts
Description: Implements multiple consistent scoring functions (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point predictions. Detailed documentation of scoring functions' properties is included for facilitating interpretation of results.
Author: Hristos Tyralis [aut, cre] , Georgia Papacharalampous [aut]
Maintainer: Hristos Tyralis <montchrister@gmail.com>

Diff between scoringfunctions versions 0.0.7 dated 2024-11-10 and 1.0 dated 2024-12-01

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