Thu, 20 Jan 2022

Package eplusr updated to version 0.15.1 with previous version 0.15.0 dated 2021-11-17

Title: A Toolkit for Using Whole Building Simulation Program 'EnergyPlus'
Description: A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
Author: Hongyuan Jia [aut, cre] (<https://orcid.org/0000-0002-0075-8183>), Adrian Chong [aut] (<https://orcid.org/0000-0002-9486-4728>)
Maintainer: Hongyuan Jia <hongyuanjia@cqust.edu.cn>

Diff between eplusr versions 0.15.0 dated 2021-11-17 and 0.15.1 dated 2022-01-20

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More information about eplusr at CRAN
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Package waves updated to version 0.2.0 with previous version 0.1.1 dated 2021-04-21

Title: Vis-NIR Spectral Analysis Wrapper
Description: Originally designed application in the context of resource-limited plant research and breeding programs, 'waves' provides an open-source solution to spectral data processing and model development by bringing useful packages together into a streamlined pipeline. This package is wrapper for functions related to the analysis of point visible and near-infrared reflectance measurements. It includes visualization, filtering, aggregation, preprocessing, cross-validation set formation, model training, and prediction functions to enable open-source association of spectral and reference data. This package is documented in a peer-reviewed manuscript in the Plant Phenome Journal <doi:10.1002/ppj2.20012>. Specialized cross-validation schemes are described in detail in Jarquín et al. (2017) <doi:10.3835/plantgenome2016.12.0130>. Example data is from Ikeogu et al. (2017) <doi:10.1371/journal.pone.0188918>.
Author: Jenna Hershberger [aut, cre] (<https://orcid.org/0000-0002-3147-6867>), Michael Gore [ths], NSF BREAD IOS-1543958 [fnd]
Maintainer: Jenna Hershberger <jmh579@cornell.edu>

Diff between waves versions 0.1.1 dated 2021-04-21 and 0.2.0 dated 2022-01-20

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More information about waves at CRAN
Permanent link

Package nberwp updated to version 1.1.0 with previous version 1.0.0 dated 2021-07-21

Title: NBER Working Papers
Description: Catalogue of NBER working papers published between June 1973 and December 2021.
Author: Benjamin Davies [aut, cre] (<https://orcid.org/0000-0002-1749-4567>)
Maintainer: Benjamin Davies <dev@bldavies.com>

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More information about nberwp at CRAN
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Package gtsummary updated to version 1.5.1 with previous version 1.5.0 dated 2021-10-16

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] (<https://orcid.org/0000-0003-0862-2018>), Michael Curry [aut] (<https://orcid.org/0000-0002-0261-4044>), Joseph Larmarange [aut] (<https://orcid.org/0000-0001-7097-700X>), Jessica Lavery [aut] (<https://orcid.org/0000-0002-2746-5647>), Karissa Whiting [aut] (<https://orcid.org/0000-0002-4683-1868>), Emily C. Zabor [aut] (<https://orcid.org/0000-0002-1402-4498>), Xing Bai [ctb], Esther Drill [ctb] (<https://orcid.org/0000-0002-3315-4538>), Jessica Flynn [ctb] (<https://orcid.org/0000-0001-8310-6684>), Margie Hannum [ctb] (<https://orcid.org/0000-0002-2953-0449>), Stephanie Lobaugh [ctb], Shannon Pileggi [ctb] (<https://orcid.org/0000-0002-7732-4164>), Amy Tin [ctb] (<https://orcid.org/0000-0002-8005-0694>), Gustavo Zapata Wainberg [ctb] (<https://orcid.org/0000-0002-2524-3637>)
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package TmCalculator updated to version 1.0.2 with previous version 1.0.1 dated 2020-07-31

Title: Melting Temperature of Nucleic Acid Sequences
Description: This tool is extended from methods in Bio.SeqUtils.MeltingTemp of python. The melting temperature of nucleic acid sequences can be calculated in three method, the Wallace rule (Thein & Wallace (1986) <doi:10.1016/S0140-6736(86)90739-7>), empirical formulas based on G and C content (Marmur J. (1962) <doi:10.1016/S0022-2836(62)80066-7>, Schildkraut C. (2010) <doi:10.1002/bip.360030207>, Wetmur J G (1991) <doi:10.3109/10409239109114069>, Untergasser,A. (2012) <doi:10.1093/nar/gks596>, von Ahsen N (2001) <doi:10.1093/clinchem/47.11.1956>) and nearest neighbor thermodynamics (Breslauer K J (1986) <doi:10.1073/pnas.83.11.3746>, Sugimoto N (1996) <doi:10.1093/nar/24.22.4501>, Allawi H (1998) <doi:10.1093/nar/26.11.2694>, SantaLucia J (2004) <doi:10.1146/annurev.biophys.32.110601.141800>, Freier S (1986) <doi:10.1073/pnas.83.24.9373>, Xia T (1998) <doi:10.1021/bi9809425>, Chen JL (2012) <doi:10.1021/bi3002709>, Bommarito S (2000) <doi:10.1093/nar/28.9.1929>, Turner D H (2010) <doi:10.1093/nar/gkp892>, Sugimoto N (1995) <doi:10.1016/S0048-9697(98)00088-6>, Allawi H T (1997) <doi:10.1021/bi962590c>, Santalucia N (2005) <doi:10.1093/nar/gki918>), and it can also be corrected with salt ions and chemical compound (SantaLucia J (1996) <doi:10.1021/bi951907q>, SantaLucia J(1998) <doi:10.1073/pnas.95.4.1460>, Owczarzy R (2004) <doi:10.1021/bi034621r>, Owczarzy R (2008) <doi:10.1021/bi702363u>).
Author: Junhui Li
Maintainer: Junhui Li <junhuili@cau.edu.cn>

Diff between TmCalculator versions 1.0.1 dated 2020-07-31 and 1.0.2 dated 2022-01-20

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Permanent link

Package forestploter updated to version 0.1.1 with previous version 0.0.1 dated 2022-01-11

Title: Create Flexible Forest Plot
Description: Create forest plot based on the layout of the data. Confidence interval in multiple columns by groups can be done easily. Editing plot, inserting/adding text, applying theme to the plot and much more.
Author: Alimu Dayimu [aut, cre] (<https://orcid.org/0000-0001-9998-7463>)
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>

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Package tmt updated to version 0.3.0-20 with previous version 0.2.1-0 dated 2019-07-05

Title: Estimation of the Rasch Model for Multistage Tests
Description: Provides conditional maximum likelihood (CML) item parameter estimation of sequential as well as cumulative deterministic multistage designs (Zwitser & Maris, 2015, <doi:10.1007/s11336-013-9369-6>) as well as probabilistic sequential and cumulative multistage designs (Steinfeld & Robitzsch, 2021, <doi:10.31234/osf.io/ew27f>). Supports CML item parameter estimation of conventional linear designs and additional functions for the likelihood ratio test (Andersen, 1973, <doi:10.1007/BF02291180>) as well as functions for the simulation of several kinds of multistage designs.
Author: Jan Steinfeld [cre, aut] (<https://orcid.org/0000-0001-9853-8260>), Alexander Robitzsch [aut] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Jan Steinfeld <jan.d.steinfeld@gmail.com>

Diff between tmt versions 0.2.1-0 dated 2019-07-05 and 0.3.0-20 dated 2022-01-20

 DESCRIPTION                           |   17 
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Package testthat updated to version 3.1.2 with previous version 3.1.1 dated 2021-12-03

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], R Core team [ctb] (Implementation of utils::recover())
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package sweater updated to version 0.1.4 with previous version 0.1.2 dated 2021-11-24

Title: Speedy Word Embedding Association Test and Extras Using R
Description: Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arXiv:1904.04047>, SemAxis (An et al., 2018) <arXiv:1806.05521>, Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>, and Embedding Coherence Test (Dev & Phillips, 2019) <arXiv:1901.07656>.
Author: Chung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>)
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package Rforestry updated to version 0.9.0.72 with previous version 0.9.0.57 dated 2021-09-02

Title: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Description: Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) <arXiv:1906.06463>.
Author: Sören Künzel [aut], Theo Saarinen [aut, cre], Simon Walter [aut], Edward Liu [aut], Allen Tang [aut], Jasjeet Sekhon [aut]
Maintainer: Theo Saarinen <theo_s@berkeley.edu>

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Package recometrics updated to version 0.1.6 with previous version 0.1.5-2 dated 2021-10-14

Title: Evaluation Metrics for Implicit-Feedback Recommender Systems
Description: Calculates evaluation metrics for implicit-feedback recommender systems that are based on low-rank matrix factorization models, given the fitted model matrices and data, thus allowing to compare models from a variety of libraries. Metrics include P@K (precision-at-k, for top-K recommendations), R@K (recall at k), AP@K (average precision at k), NDCG@K (normalized discounted cumulative gain at k), Hit@K (from which the 'Hit Rate' is calculated), RR@K (reciprocal rank at k, from which the 'MRR' or 'mean reciprocal rank' is calculated), ROC-AUC (area under the receiver-operating characteristic curve), and PR-AUC (area under the precision-recall curve). These are calculated on a per-user basis according to the ranking of items induced by the model, using efficient multi-threaded routines. Also provides functions for creating train-test splits for model fitting and evaluation.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package polyqtlR updated to version 0.0.8 with previous version 0.0.7 dated 2021-12-09

Title: QTL Analysis in Autopolyploid Bi-Parental F1 Populations
Description: Quantitative trait loci (QTL) analysis and exploration of meiotic patterns in autopolyploid bi-parental F1 populations. For all ploidy levels, identity-by-descent (IBD) probabilities can be estimated. Significance thresholds, exploring QTL allele effects and visualising results are provided. For more background and to reference the package see <doi:10.1093/bioinformatics/btab574>.
Author: Peter Bourke [aut, cre], Christine Hackett [ctb], Chris Maliepaard [ctb], Geert van Geest [ctb], Roeland Voorrips [ctb], Johan Willemsen [ctb]
Maintainer: Peter Bourke <pbourkey@gmail.com>

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Package PLNmodels updated to version 0.11.5 with previous version 0.11.4 dated 2021-03-16

Title: Poisson Lognormal Models
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2020 <doi:10.1101/2020.10.07.329383>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Mahendra Mariadassou [aut] (<https://orcid.org/0000-0003-2986-354X>), Stéphane Robin [ctb], François Gindraud [aut]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package MatchIt updated to version 4.3.3 with previous version 4.3.2 dated 2021-11-23

Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)
Author: Daniel Ho [aut] (<https://orcid.org/0000-0002-2195-5469>), Kosuke Imai [aut] (<https://orcid.org/0000-0002-2748-1022>), Gary King [aut] (<https://orcid.org/0000-0002-5327-7631>), Elizabeth Stuart [aut] (<https://orcid.org/0000-0002-9042-8611>), Alex Whitworth [ctb], Noah Greifer [ctb, cre, aut] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package jmvReadWrite updated to version 0.2.4 with previous version 0.2.3 dated 2022-01-19

Title: Read and Write 'jamovi' Files ('.omv')
Description: The free and open a statistical spreadsheet 'jamovi' (www.jamovi.org) aims to make statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of analyses between 'jamovi' and R.
Author: Sebastian Jentschke [aut, cre] (<https://orcid.org/0000-0003-2576-5432>)
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>

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Package binsegRcpp updated to version 2021.11.3 with previous version 2020.9.3 dated 2020-09-14

Title: Efficient Implementation of Binary Segmentation
Description: Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package BayesGWQS updated to version 0.1.1 with previous version 0.0.2 dated 2020-06-23

Title: Bayesian Grouped Weighted Quantile Sum Regression
Description: Fits Bayesian grouped weighted quantile sum (BGWQS) regressions for one or more chemical groups with binary outcomes. Wheeler DC et al. (2019) <doi:10.1016/j.sste.2019.100286>.
Author: David Wheeler, Matthew Carli
Maintainer: Matthew Carli <carlimm@mymail.vcu.edu>

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Package additive updated to version 0.0.4 with previous version 0.0.3 dated 2021-09-30

Title: Bindings for Additive TidyModels
Description: Fit Generalized Additive Models (GAM) using 'mgcv' with 'parsnip'/'tidymodels' via 'additive' <doi:10.5281/zenodo.5884867>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'mgcv' are described in Wood (2017) <doi:10.1201/9781315370279>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>)
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package prereg updated to version 0.6.0 with previous version 0.5.0 dated 2020-12-02

Title: R Markdown Templates to Preregister Scientific Studies
Description: Provides a collection of templates to author preregistration documents for scientific studies in PDF format.
Author: Frederik Aust [aut, cre] (<https://orcid.org/0000-0003-4900-788X>), Lisa Spitzer [aut], Jeffrey R. Stevens [ctb] (<https://orcid.org/0000-0003-2375-1360>), Masataka Ogawa [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>

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Package mrgsolve updated to version 1.0.0 with previous version 0.11.1 dated 2021-05-10

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] (<https://orcid.org/0000-0001-7252-5656>), Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Dilawar Singh [ctb], Felicien Le Louedec [ctb] (<https://orcid.org/0000-0003-3699-2729>), Timothy Waterhouse [ctb] (<https://orcid.org/0000-0002-0954-9660>), Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

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Package khroma updated to version 1.8.0 with previous version 1.7.0 dated 2021-09-02

Title: Colour Schemes for Scientific Data Visualization
Description: Colour schemes ready for each type of data (qualitative, diverging or sequential), with colours that are distinct for all people, including colour-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) <doi: 10.5194/gmd-11-2541-2018> colour schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate colour-blindness and to test how well the colours of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>, Université Bordeaux Montaigne), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>, Université Bordeaux Montaigne), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>, Université de Montréal)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package HiClimR updated to version 2.2.1 with previous version 2.2.0 dated 2021-05-31

Title: Hierarchical Climate Regionalization
Description: A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking, contiguity-constrained clustering, data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multivariate clustering (MVC), cluster validation, visualization of regionalization results, and exporting region map and mean timeseries into NetCDF-4 file. The technical details are described in Badr et al. (2015) <doi:10.1007/s12145-015-0221-7>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Benjamin F. Zaitchik [aut] (<https://orcid.org/0000-0002-0698-0658>), Amin K. Dezfuli [aut] (<https://orcid.org/0000-0003-3274-8542>)
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package GDINA updated to version 2.8.8 with previous version 2.8.7 dated 2021-05-31

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided. For tutorials, please check Ma and de la Torre (2020) <DOI:10.18637/jss.v093.i14>, Ma and de la Torre (2019) <DOI:10.1111/emip.12262>, Ma (2019) <DOI:10.1007/978-3-030-05584-4_29> and de la Torre and Akbay (2019).
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb], Zhehan Jiang [ctb]
Maintainer: Wenchao Ma <wenchao.ma@ua.edu>

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Package multinomineq (with last version 0.2.1) was removed from CRAN

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

2019-05-16 0.2.1

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Package webtools updated to version 0.7.9 with previous version 0.7.8 dated 2022-01-12

Title: Various Useful Web Tools (Including Full CRAN Dataset Search and Fetch)
Description: A set of useful web tools to improve your productivity. Including: searching DuckDuckGo; finding and loading datasets across all CRAN packages (not just those you've installed); sharing a file to a paste-bin; getting a fast GUID.
Author: LS Malenica
Maintainer: LS Malenica <lsmalenica@gmail.com>

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Package RFpredInterval updated to version 1.0.5 with previous version 1.0.4 dated 2021-09-14

Title: Prediction Intervals with Random Forests and Boosted Forests
Description: Implements various prediction interval methods with random forests and boosted forests. The package has two main functions: pibf() produces prediction intervals with boosted forests (PIBF) as described in Alakus et al. (2021) <arXiv:2106.08217> and rfpi() builds 15 distinct variations of prediction intervals with random forests (RFPI) proposed by Roy and Larocque (2020) <doi:10.1177/0962280219829885>.
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] (Author of included randomForestSRC codes), Udaya B. Kogalur [ctb] (Author of included randomForestSRC codes)
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>

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New package mfp with initial version 1.5.2.2
Package: mfp
Version: 1.5.2.2
Date: 2022-01-19
Title: Multivariable Fractional Polynomials
Depends: survival
Description: Fractional polynomials are used to represent curvature in regression models. A key reference is Royston and Altman, 1994.
License: GPL (>= 2)
BugReports: https://github.com/georgheinze/mfp/issues/
NeedsCompilation: no
Packaged: 2022-01-20 09:16:15 UTC; Lena
Author: Georg Heinze [cre], Gareth Ambler [aut], Axel Benner [aut]
Maintainer: Georg Heinze <georg.heinze@meduniwien.ac.at>
Repository: CRAN
Date/Publication: 2022-01-20 19:12:42 UTC

More information about mfp at CRAN
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New package icertool with initial version 0.0.3
Package: icertool
Title: Calculate and Plot ICER
Version: 0.0.3
Description: The app will calculate the ICER (incremental cost-effectiveness ratio) Rawlins (2012) <doi:10.1016/B978-0-7020-4084-9.00044-6> from the mean costs and quality-adjusted life years (QALY) Torrance and Feeny (2009) <doi:10.1017/S0266462300008461> for a set of treatment options, and draw the efficiency frontier in the costs-effectiveness plane. The app automatically identifies and excludes dominated and extended-dominated options from the ICER calculation.
License: GPL-3
Encoding: UTF-8
Imports: shiny, shinythemes, purrr, DT, tidyverse, readxl, ggplot2, ggrepel, digest, shinyhelper
NeedsCompilation: no
Packaged: 2022-01-20 09:25:40 UTC; danie
Author: David Epstein [aut] (<https://orcid.org/0000-0002-2275-0916>), Daniel Perez-Troncoso [aut, cre] (<https://orcid.org/0000-0003-0091-8148>)
Maintainer: Daniel Perez-Troncoso <danielperez@ugr.es>
Repository: CRAN
Date/Publication: 2022-01-20 19:12:45 UTC

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New package contingencytables with initial version 1.0.0
Package: contingencytables
Title: Statistical Analysis of Contingency Tables
Version: 1.0.0
Description: Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.
License: GPL-3
Encoding: UTF-8
URL: https://contingencytables.com/
BugReports: https://github.com/ocbe-uio/contingencytables/issues
Imports: MASS, boot
Suggests: testthat
Date: 2022-01-05
NeedsCompilation: no
Packaged: 2022-01-20 11:29:57 UTC; waldir
Author: Morten Wang Fagerland [aut], Stian Lydersen [ctb], Petter Laake [ctb], Waldir Leoncio [cre], Ole Christian Lingjærde [trl]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Repository: CRAN
Date/Publication: 2022-01-20 19:22:41 UTC

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New package BEKKs with initial version 1.0.0
Package: BEKKs
Title: Multivariate Conditional Volatility Modelling and Forecasting
Version: 1.0.0
Description: Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast Berndt–Hall–Hall–Hausman (BHHH) algorithm described in Hafner and Herwartz (2008) <doi:10.1007/s00184-007-0130-y>.
Depends: R (>= 3.5.0)
Imports: Rcpp, expm, reshape2, ggplot2, mathjaxr, gridExtra, grid, ggfortify, parallel, xts, stats, future, forecast, future.apply
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
SystemRequirements: C++11
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0)
RdMacros: mathjaxr
Packaged: 2022-01-20 10:43:25 UTC; alex
Author: Markus Fülle [aut], Helmut Herwartz [aut], Alexander Lange [aut, cre]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>
Repository: CRAN
Date/Publication: 2022-01-20 19:12:47 UTC

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Package bayesian updated to version 0.0.8 with previous version 0.0.7 dated 2021-09-29

Title: Bindings for Bayesian TidyModels
Description: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' <doi:10.5281/zenodo.5884879>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018) <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Paul-Christian Bürkner [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>

Diff between bayesian versions 0.0.7 dated 2021-09-29 and 0.0.8 dated 2022-01-20

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New package ORKM with initial version 0.0.0.3
Package: ORKM
Title: The Online Regularized K-Means Clustering Algorithm
Date: 2022-1-19
Version: 0.0.0.3
Description: Algorithm of online regularized k-means to deal with online multi(single) view data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
License: MIT + file LICENSE
Encoding: UTF-8
Author: Guangbao Guo [aut, cre] (<https://orcid.org/0000-0002-4115-6218>), Miao Yu [aut], Haoyue Song [aut], Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Suggests: testthat (>= 3.0.0)
Imports: MASS, Matrix,
NeedsCompilation: no
Packaged: 2022-01-19 13:56:46 UTC; lenovo
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-01-20 18:42:42 UTC

More information about ORKM at CRAN
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New package cyjShiny with initial version 1.0.34
Package: cyjShiny
Title: Cytoscape.js Shiny Widget (cyjShiny)
Version: 1.0.34
Date: 2022-01-16
Description: Wraps cytoscape.js as a shiny widget. cytoscape.js <https://js.cytoscape.org/> is a Javascript-based graph theory (network) library for visualization and analysis. This package supports the visualization of networks with custom visual styles and several available layouts. Demo Shiny applications are provided in the package code.
Depends: R (>= 3.5.0), htmlwidgets, shiny, jsonlite, graph, base64enc
Suggests: RUnit, knitr, rmarkdown, markdown, BiocStyle
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
biocViews:
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-20 01:26:45 UTC; user
Author: Omar Shah [ctb], Paul Shannon [aut], Augustin Luna [aut, cre] (<https://orcid.org/0000-0001-5709-371X>)
Maintainer: Augustin Luna <aluna@jimmy.harvard.edu>
Repository: CRAN
Date/Publication: 2022-01-20 18:52:42 UTC

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New package chessR with initial version 1.5.0
Package: chessR
Title: Functions to Extract, Clean and Analyse Online Chess Game Data
Version: 1.5.0
URL: https://github.com/JaseZiv/chessR
BugReports: https://github.com/JaseZiv/chessR/issues
Description: A set of functions to enable users to extract chess game data from popular chess sites, including 'Lichess'<https://lichess.org/> and 'Chess.com' <https://www.chess.com/> and then perform analysis on that game data.
License: GPL-3
Encoding: UTF-8
Imports: rlang, jsonlite, dplyr, purrr, tidyr, stringr, lubridate, magrittr, xml2, rvest, curl
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0), covr, chess
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-20 03:40:19 UTC; zivkovij
Author: Jason Zivkovic [aut, cre], Jonathan Carroll [ctb] (<https://orcid.org/0000-0002-1404-5264>)
Maintainer: Jason Zivkovic <jase.ziv83@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-20 18:52:46 UTC

More information about chessR at CRAN
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Package opentripplanner updated to version 0.4.0 with previous version 0.3.1 dated 2020-11-09

Title: Setup and connect to 'OpenTripPlanner'
Description: Setup and connect to 'OpenTripPlanner' (OTP) <http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in 'Java'. The package allows you to manage a local version or connect to remote OTP server to find walking, cycling, driving, or transit routes. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).
Author: Malcolm Morgan [aut, cre] (<https://orcid.org/0000-0002-9488-9183>), Marcus Young [aut] (<https://orcid.org/0000-0003-4627-1116>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Layik Hama [ctb] (<https://orcid.org/0000-0003-1912-4890>)
Maintainer: Malcolm Morgan <m.morgan1@leeds.ac.uk>

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Package simstudy updated to version 0.4.0 with previous version 0.3.0 dated 2021-11-04

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre] (<https://orcid.org/0000-0002-0292-8780>), Jacob Wujciak-Jens [aut] (<https://orcid.org/0000-0002-7281-3989>)
Maintainer: Keith Goldfeld <keith.goldfeld@nyulangone.org>

Diff between simstudy versions 0.3.0 dated 2021-11-04 and 0.4.0 dated 2022-01-20

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Package RGENERATEPREC updated to version 1.2.9 with previous version 1.2.8 dated 2021-01-19

Title: Tools to Generate Daily-Precipitation Time Series
Description: The method 'generate()' is extended for spatial multi-site stochastic generation of daily precipitation. It generates precipitation occurrence in several sites using logit regression (Generalized Linear Models) and the approach by D.S. Wilks (1998) <doi:10.1016/S0022-1694(98)00186-3> .
Author: Emanuele Cordano
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>

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Package rccola updated to version 1.0.2 with previous version 1.0 dated 2022-01-15

Title: Safely Manage API Keys and Load Data from a REDCap or Other Source
Description: The handling of an API key (misnomer for password) for protected data can be difficult. This package provides secure convenience functions for entering / handling API keys and pulling data directly into memory. By default it will load from REDCap instances, but other sources are injectable via inversion of control.
Author: Shawn Garbett [aut, cre], Hui Wu [aut], Cole Beck [aut]
Maintainer: Shawn Garbett <Shawn.Garbett@vumc.org>

Diff between rccola versions 1.0 dated 2022-01-15 and 1.0.2 dated 2022-01-20

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Package QuantileGH updated to version 0.1.1 with previous version 0.1.0 dated 2021-12-17

Title: Quantile Least Mahalanobis Distance Estimator for Tukey g-&-h Mixture
Description: Functions for simulation, estimation, and model selection of finite mixtures of Tukey's g-and-h distributions.
Author: Tingting Zhan [aut, cre, cph], Inna Chervoneva [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package moderndive updated to version 0.5.3 with previous version 0.5.2 dated 2021-07-21

Title: Tidyverse-Friendly Introductory Linear Regression
Description: Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.
Author: Albert Y. Kim [aut, cre] (<https://orcid.org/0000-0001-7824-306X>), Chester Ismay [aut] (<https://orcid.org/0000-0003-2820-2547>), Andrew Bray [ctb] (<https://orcid.org/0000-0002-4037-7414>), Delaney Moran [ctb], Evgeni Chasnovski [ctb] (<https://orcid.org/0000-0002-1617-4019>), Will Hopper [ctb] (<https://orcid.org/0000-0002-7848-1946>), Marium Tapal [ctb] (<https://orcid.org/0000-0001-5093-6462>)
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

Diff between moderndive versions 0.5.2 dated 2021-07-21 and 0.5.3 dated 2022-01-20

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Package mlr3tuning updated to version 0.10.0 with previous version 0.9.0 dated 2021-09-14

Title: Tuning for 'mlr3'
Description: Implements methods for hyperparameter tuning with 'mlr3', e.g. grid search, random search, generalized simulated annealing and iterated racing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Daniel Schalk [aut] (<https://orcid.org/0000-0003-0950-1947>)
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuning versions 0.9.0 dated 2021-09-14 and 0.10.0 dated 2022-01-20

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Package mlr3fselect updated to version 0.6.1 with previous version 0.6.0 dated 2021-09-13

Title: Feature Selection for 'mlr3'
Description: Implements methods for feature selection with 'mlr3', e.g. random search and sequential selection. Various termination criteria can be set and combined. The class 'AutoFSelector' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>)
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3fselect versions 0.6.0 dated 2021-09-13 and 0.6.1 dated 2022-01-20

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Package RRphylo updated to version 2.6.0 with previous version 2.5.9 dated 2021-11-03

Title: Phylogenetic Ridge Regression Methods for Comparative Studies
Description: Functions for phylogenetic analysis (Castiglione et al, 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Author: Pasquale Raia, Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Mirko Di Febbraro, Antonio Profico, Francesco Carotenuto
Maintainer: Pasquale Raia <pasquale.raia@unina.it>

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Package mlr3spatial updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-16

Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Description: Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3spatial versions 0.1.0 dated 2021-11-16 and 0.1.1 dated 2022-01-20

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Package clintools updated to version 0.9.2 with previous version 0.9.1 dated 2022-01-19

Title: Tools for Clinical Research
Description: Every research team have their own script for data management, statistics and most importantly hemodynamic indices. The purpose is to standardize scripts utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.
Author: Markus Harboe Olsen [cre, aut], Christian Riberholt [aut], Ronan Berg [aut], Kirsten Moeller [aut]
Maintainer: Markus Harboe Olsen <oel@oelfam.com>

Diff between clintools versions 0.9.1 dated 2022-01-19 and 0.9.2 dated 2022-01-20

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Package cli updated to version 3.1.1 with previous version 3.1.0 dated 2021-10-27

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [ctb], Kirill Müller [ctb], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between cli versions 3.1.0 dated 2021-10-27 and 3.1.1 dated 2022-01-20

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More information about cli at CRAN
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Package netmeta updated to version 2.1-0 with previous version 2.0-1 dated 2021-10-27

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <DOI:10.1002/jrsm.1058>; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>; - measures characterizing the flow of evidence between two treatments by König et al. (2013) <DOI:10.1002/sim.6001>; - ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <DOI:10.1002/cem.2569>; (Rücker & Schwarzer, 2017) <DOI:10.1002/jrsm.1270>; - split direct and indirect evidence to check consistency (Dias et al., 2010) <DOI:10.1002/sim.3767>, (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - league table with network meta-analysis results; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <DOI:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) <DOI:10.1002/jrsm.57>; - automated drawing of network graphs described in Rücker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>; - rankograms and ranking by SUCRA; - contribution matrix as described in Papakonstantinou et al. (2018) <DOI:10.12688/f1000research.14770.3> and Davies et al. (2021) <arXiv:2107.02886>.
Author: Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>), Ulrike Krahn [aut], Jochem König [aut] (<https://orcid.org/0000-0003-4683-0360>), Orestis Efthimiou [aut] (<https://orcid.org/0000-0002-0955-7572>), Annabel Davies [aut] (<https://orcid.org/0000-0003-2320-7701>), Theodoros Papakonstantinou [aut] (<https://orcid.org/0000-0002-6630-6817>), Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between netmeta versions 2.0-1 dated 2021-10-27 and 2.1-0 dated 2022-01-20

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More information about netmeta at CRAN
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Package mlquantify updated to version 0.2.0 with previous version 0.1.5 dated 2021-04-13

Title: Algorithms for Class Distribution Estimation
Description: Quantification is a prominent machine learning task that has received an increasing amount of attention in the last years. The objective is to predict the class distribution of a data sample. This package is a collection of machine learning algorithms for class distribution estimation. This package include algorithms from different paradigms of quantification. These methods are described in the paper: A. Maletzke, W. Hassan, D. dos Reis, and G. Batista. The importance of the test set size in quantification assessment. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI20, pages 2640–2646, 2020. <doi:10.24963/ijcai.2020/366>.
Author: Andre Maletzke [aut, cre], Everton Cherman [ctb], Denis dos Reis [ctb], Gustavo Batista [ths]
Maintainer: Andre Maletzke <andregustavom@gmail.com>

Diff between mlquantify versions 0.1.5 dated 2021-04-13 and 0.2.0 dated 2022-01-20

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Package mexhaz updated to version 2.2 with previous version 2.1 dated 2021-12-13

Title: Mixed Effect Excess Hazard Models
Description: Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty). A detailed description of the package functionalities is provided in Charvat and Belot (2021) <doi: 10.18637/jss.v098.i14>.
Author: Hadrien Charvat, Aurelien Belot
Maintainer: Hadrien Charvat <chadrien@ncc.go.jp>

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Package DescrTab2 updated to version 2.1.9 with previous version 2.1.7 dated 2021-12-02

Title: Publication Quality Descriptive Statistics Tables
Description: Provides functions to create descriptive statistics tables for continuous and categorical variables. By default, summary statistics such as mean, standard deviation, quantiles, minimum and maximum for continuous variables and relative and absolute frequencies for categorical variables are calculated. 'DescrTab2' features a sophisticated algorithm to choose appropriate test statistics for your data and provides p-values. On top of this, confidence intervals for group differences of appropriated summary measures are automatically produces for two-group comparison. Tables generated by 'DescrTab2' can be integrated in a variety of document formats, including .html, .tex and .docx documents. 'DescrTab2' also allows printing tables to console and saving table objects for later use.
Author: Jan Meis [aut, cre] (<https://orcid.org/0000-0001-5407-7220>), Lukas Baumann [aut] (<https://orcid.org/0000-0001-7931-7470>), Maximilian Pilz [aut] (<https://orcid.org/0000-0002-9685-1613>), Lukas Sauer [aut] (<https://orcid.org/0000-0002-1340-9994>), Lorenz Uhlmann [ctb], Csilla van Lunteren [ctb], Kevin Kunzmann [ctb], Hao Zhu [ctb] (<https://orcid.org/0000-0002-3386-6076>)
Maintainer: Jan Meis <meis@imbi.uni-heidelberg.de>

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Package cmsafvis updated to version 1.1.10 with previous version 1.1.9 dated 2021-12-02

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package cmsafops updated to version 1.2.3 with previous version 1.2.2 dated 2021-12-02

Title: Tools for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package cthist updated to version 0.1.3 with previous version 0.1.2 dated 2021-12-15

Title: Clinical Trial Registry History
Description: Retrieves historical versions of clinical trial registry entries.
Author: Benjamin Gregory Carlisle [aut, cre] (<https://orcid.org/0000-0001-8975-0649>)
Maintainer: Benjamin Gregory Carlisle <murph@bgcarlisle.com>

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Package cmsaf updated to version 3.4.0 with previous version 3.3.1 dated 2021-12-02

Title: A Toolbox for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsaf' R-package includes a 'shiny' based interface for an easy application of the 'cmsafops' and 'cmsafvis' packages - the CM SAF R Toolbox. The Toolbox offers an easy way to prepare, manipulate, analyse and visualize CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package tidygate updated to version 0.4.9 with previous version 0.4.8 dated 2022-01-03

Title: Add Gate Information to Your Tibble
Description: It interactively or programmatically label points within custom gates on two dimensions <https://github.com/stemangiola/tidygate>. The information is added to your tibble. It is based on the package 'gatepoints' from Wajid Jawaid (who is also author of this package). The code of 'gatepoints' was nto integrated in 'tidygate'. The benefits are (i) in interactive mode you can draw your gates on extensive 'ggplot'-like scatter plots; (ii) you can draw multiple gates; and (iii) you can save your gates and apply the programmatically.
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

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Package rscc updated to version 0.2.1 with previous version 0.2.0 dated 2021-11-01

Title: R Source Code Similarity Evaluation by Variable/Function Names
Description: Evaluates R source codes by variable and/or functions names. Similar source codes should deliver similarity coefficients near one. Since neither the frequency nor the order of the used names is considered, a manual inspection of the R source code is required to check for similarity. Possible use cases include detection of code clones for improving software quality and of plagiarism amongst students' assignments.
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>

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Package rdacca.hp updated to version 1.0-6 with previous version 1.0-5 dated 2022-01-12

Title: Hierarchical and Variation Partitioning for Canonical Analysis
Description: This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,<DOI:10.1111/2041-210X.13800>.
Author: Jiangshan Lai,Pedro Peres-Neto,Kim Nimon
Maintainer: Jiangshan Lai <lai@ibcas.ac.cn>

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Package memoiR updated to version 1.1-4 with previous version 1.1-3 dated 2021-11-13

Title: R Markdown and Bookdown Templates to Publish Documents
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>)
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

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Package ggfun updated to version 0.0.5 with previous version 0.0.4 dated 2021-09-17

Title: Miscellaneous Functions for 'ggplot2'
Description: Useful functions to edit 'ggplot' object (e.g., setting fonts for theme and layers, adding rounded rectangle as background for each of the legends).
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>), Shuangbin Xu [aut] (<https://orcid.org/0000-0003-3513-5362>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package CoTiMA updated to version 0.5.4 with previous version 0.5.2 dated 2021-12-09

Title: Continuous Time Meta-Analysis ('CoTiMA')
Description: The 'CoTiMA' package performs meta-analyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of common fixed or random effects analysis. However, continuous time math, which is applied in 'CoTiMA', can be used to extrapolate or intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different time intervals can be meta-analyzed. 'CoTiMA' fits models to empirical data using the structural equation model (SEM) package 'ctsem', the effects specified in a SEM are related to parameters that are not directly included in the model (i.e., continuous time parameters; together, they represent the continuous time structural equation model, CTSEM). Statistical model comparisons and significance tests are then performed on the continuous time parameter estimates. 'CoTiMA' also allows analysis of publication bias (Egger's test, PET-PEESE estimates, zcurve analysis etc.) and analysis of statistical power (post hoc power, required sample sizes). See Dormann, C., Guthier, C., & Cortina, J. M. (2019) <doi:10.1177/1094428119847277>. and Guthier, C., Dormann, C., & Voelkle, M. C. (2020) <doi:10.1037/bul0000304>.
Author: Christian Dormann [aut, cph], Markus Homberg [aut, com, cre], Christina Guthier [ctb], Manuel Voelkle [ctb]
Maintainer: Markus Homberg <cotima@uni-mainz.de>

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Package vannstats updated to version 1.2.1.19 with previous version 1.2.1.8 dated 2022-01-08

Title: Simplified Statistics for PA 606
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques. Includes functions designed to replicate plots and tables that would result from similar calls in 'SPSS', including hst(), box(), qq(), tab(), cormat(), and residplot(). Also includes simplified formulae, such as mode(), scatter(), p.corr(), ow.anova(), and rm.anova().
Author: Burrel Vann Jr [aut, cre] (<https://orcid.org/0000-0003-3066-5815>)
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>

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Package sasLM updated to version 0.6.5 with previous version 0.6.4 dated 2021-11-25

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package optedr updated to version 1.0.1 with previous version 1.0.0 dated 2021-12-01

Title: Calculating Optimal and D-Augmented Designs
Description: Calculates D-, Ds-, A- and I-optimal designs for non-linear models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Compares designs via their efficiency, and D-augments any design with a controlled efficiency. An efficient rounding function has been provided to transform approximate designs to exact designs.
Author: Carlos de la Calle-Arroyo [aut, cre] (<https://orcid.org/0000-0002-5099-888X>), Jesús López-Fidalgo [aut] (<https://orcid.org/0000-0001-7502-8188>), Licesio J. Rodríguez-Aragón [aut] (<https://orcid.org/0000-0003-4970-3877>)
Maintainer: Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com>

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Package huito updated to version 0.1.2 with previous version 0.1.1 dated 2021-12-14

Title: Flexible and Reproducible Label Designs
Description: An open-source R package to deploys flexible and reproducible labels using layers. The 'huito' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>), Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

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New package TreeDimensionTest with initial version 0.0.1
Package: TreeDimensionTest
Title: Trajectory Presence and Heterogeneity in Multivariate Data
Version: 0.0.1
Date: 2022-01-18
Author: Lovemore Tenha [aut] (<https://orcid.org/0000-0001-9705-2023>), Joe Song [aut, cre] (<https://orcid.org/0000-0002-6883-6547>)
Maintainer: Joe Song <joemsong@cs.nmsu.edu>
Description: Testing on multivariate data for trajectory presence and heterogeneity. Two statistical methods (Tenha & Song, provisionally accepted) are implemented. The tree dimension test quantifies the statistical evidence for trajectory presence. The subset specificity measure summarizes pattern heterogeneity using the minimum subtree cover. There is no user tunable parameters for either method. Examples are included to illustrate how to use the methods on single-cell data for studying gene and pathway expression dynamics and pathway expression specificity.
License: GPL (>= 2)
Imports: fitdistrplus, igraph, nFactors, Rcpp (>= 1.0.2), RColorBrewer, Rdpack
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
RdMacros: Rdpack
Depends: mlpack
Packaged: 2022-01-19 14:17:14 UTC; joesong
Repository: CRAN
Date/Publication: 2022-01-20 08:52:44 UTC

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New package taxonbridge with initial version 1.0.1
Package: taxonbridge
Title: Combined Analysis of NCBI Taxonomy and GBIF Taxonomy
Version: 1.0.1
Description: The NCBI is the go to resource for taxonomic studies but it only contains data on extant species whereas the GBIF also includes extinct species. `taxonbridge` is useful for the combined analysis of the NCBI taxonomy and GBIF taxonomy.
License: CC0
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: purrr, dplyr, vroom, ggplot2, rje
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-01-19 14:48:31 UTC; wernerveldsman
Author: Werner Veldsman [aut, cre] (<https://orcid.org/0000-0001-9837-8332>)
Maintainer: Werner Veldsman <wernerpieter.veldsman@unil.ch>
Repository: CRAN
Date/Publication: 2022-01-20 08:50:02 UTC

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Package RQuantLib updated to version 0.4.15 with previous version 0.4.14 dated 2021-10-06

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen (2009-2010), Terry Leitch (since 2016)
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.14 dated 2021-10-06 and 0.4.15 dated 2022-01-20

 ChangeLog                      |   60 ++++++++++++++++++++++++++++++++
 DESCRIPTION                    |   13 +++----
 MD5                            |   36 +++++++++----------
 NAMESPACE                      |    5 +-
 R/RcppExports.R                |    8 +++-
 R/calendars.R                  |   75 ++++++++++++++++++++++++++++++++++++++---
 R/zzz.R                        |    4 +-
 README.md                      |    5 ++
 data/tsQuotes.RData            |binary
 data/vcube.RData               |binary
 inst/NEWS.Rd                   |   17 +++++++++
 man/BondUtilities.Rd           |    7 +--
 man/Calendars.Rd               |   28 ++++++++++-----
 man/getQuantLibCapabilities.Rd |    2 -
 man/getQuantLibVersion.Rd      |    2 -
 src/RcppExports.cpp            |   14 +++++++
 src/bonds.cpp                  |   53 +++++++++++++++++++++++-----
 src/calendars.cpp              |   23 ++++++++++++
 src/utils.cpp                  |   30 +++++++++++-----
 19 files changed, 310 insertions(+), 72 deletions(-)

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New package NetOrigin with initial version 1.1-4
Package: NetOrigin
Title: Origin Estimation for Propagation Processes on Complex Networks
Description: Performs network-based source estimation. Different approaches are available: effective distance median (Manitz et al., 2014; <doi:10.1371/currents.outbreaks.f3fdeb08c5b9de7c09ed9cbcef5f01f2>), recursive backtracking (Manitz et al., 2016; <doi:10.1111/rssc.12176>), and centrality-based source estimation (Li et al., 2021; <doi:10.1371/journal.pcbi.1008545>). Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
Version: 1.1-4
Depends: R (>= 3.2.2)
Imports: igraph, Hmisc, colorspace, mvtnorm, corpcor, plyr
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2022-01-19 22:43:35 UTC; M254773
Author: Juliane Manitz [aut, cre], Jonas Harbering [ctb], Jun Li [ctb]
Maintainer: Juliane Manitz <r@manitz.org>
Repository: CRAN
URL: https://netorigin.manitz.org/
BugReports: https://github.com/jmanitz/NetOrigin/issues
Date/Publication: 2022-01-20 08:32:42 UTC

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New package happign with initial version 0.1.0
Package: happign
Title: R Interface to 'IGN' Web Services
Version: 0.1.0
Maintainer: Paul Carteron <carteronpaul@gmail.com>
Description: Interface to easily access the National Institute of Geographic and Forestry Information open-source data for any area of interest in France via the expert web service <https://geoservices.ign.fr/services-web-experts>.
License: GPL (>= 3)
URL: https://github.com/paul-carteron, https://paul-carteron.github.io/happign/
BugReports: https://github.com/paul-carteron/happign/issues
Imports: dplyr, httr, magrittr, sf, stars, stringr, tidyr, xml2
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), tmap, vcr (>= 0.6.0), webmockr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-01-19 09:48:47 UTC; PAUL
Author: Paul Carteron [aut, cre] (<https://orcid.org/0000-0002-6942-6662>)
Repository: CRAN
Date/Publication: 2022-01-20 08:42:42 UTC

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New package grafify with initial version 2.0.0
Package: grafify
Title: Easy Graphs for Data Visualisation and Linear Models for ANOVA
Version: 2.0.0
Description: Easily explore data by generating different kinds of graphs with few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs and choose from 8 colour-blind friendly discreet or 1 continuous colour scheme. Simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs. Carry out post-hoc comparisons on fitted models (via emmeans() wrappers). Also includes small datasets for practicing code and teaching basics before users move on to more complex designs. See vignettes for details on usage <https://grafify-vignettes.netlify.app/>. Citation: <doi:10.5281/zenodo.5136508>.
License: GPL (>= 2)
Imports: broom.mixed, car, emmeans, Hmisc, lme4, lmerTest, magrittr, purrr, stats, tidyr
Depends: R (>= 4.0), ggplot2
Encoding: UTF-8
Date: 2022-01-14
LazyData: true
Suggests: dplyr, knitr, rlang, rmarkdown, pbkrtest, testthat (>= 3.0.0)
URL: https://github.com/ashenoy-cmbi/grafify
NeedsCompilation: no
Packaged: 2022-01-15 14:54:11 UTC; Avinash
Author: Avinash R Shenoy [cre, aut] (<https://orcid.org/0000-0001-6228-9303>)
Maintainer: Avinash R Shenoy <a.shenoy@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2022-01-20 08:22:41 UTC

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New package gamselBayes with initial version 1.0-1
Package: gamselBayes
Version: 1.0-1
Date: 2022-01-19
Title: Bayesian Generalized Additive Model Selection
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>
Description: Generalized additive model selection via approximate Bayesian inference is provided. Bayesian mixed model-based penalized splines with spike-and-slab-type coefficient prior distributions are used to facilitate fitting and selection. The approximate Bayesian inference engine options are: (1) Markov chain Monte Carlo and (2) mean field variational Bayes. Markov chain Monte Carlo has better Bayesian inferential accuracy, but requires a longer run-time. Mean field variational Bayes is faster, but less accurate. The methodology is described in He and Wand (2021) <arXiv:2201.00412>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp, methods
Suggests: Ecdat
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2022-01-19 03:00:50 UTC; mwand
Author: Virginia X. He [aut], Matt P. Wand [aut, cre] (<https://orcid.org/0000-0003-2555-896X>)
Repository: CRAN
Date/Publication: 2022-01-20 08:42:45 UTC

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Package Delaporte updated to version 8.0.2 with previous version 8.0.1 dated 2021-01-10

Title: Statistical Functions for the Delaporte Distribution
Description: Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution with parameterization based on Vose (2008) <isbn:9780470512845>. The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.
Author: Avraham Adler [aut, cph, cre] (<https://orcid.org/0000-0002-3039-0703>)
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between Delaporte versions 8.0.1 dated 2021-01-10 and 8.0.2 dated 2022-01-20

 Delaporte-8.0.1/Delaporte/tests/test-all.R  |only
 Delaporte-8.0.1/Delaporte/tests/testthat    |only
 Delaporte-8.0.2/Delaporte/DESCRIPTION       |   11 +++++------
 Delaporte-8.0.2/Delaporte/MD5               |   28 ++++++++++++++--------------
 Delaporte-8.0.2/Delaporte/README.md         |   11 +++++++----
 Delaporte-8.0.2/Delaporte/build/partial.rdb |binary
 Delaporte-8.0.2/Delaporte/inst/CITATION     |    6 ++++--
 Delaporte-8.0.2/Delaporte/inst/NEWS.Rd      |   15 +++++++++++++++
 Delaporte-8.0.2/Delaporte/inst/tinytest     |only
 Delaporte-8.0.2/Delaporte/man/Delaporte.Rd  |    4 ++--
 Delaporte-8.0.2/Delaporte/tests/tinytest.R  |only
 11 files changed, 47 insertions(+), 28 deletions(-)

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