Wed, 11 May 2022

Package SearchTrees updated to version 0.5.3 with previous version 0.5.2 dated 2012-08-24

Title: Spatial Search Trees
Description: The QuadTree data structure is useful for fast, neighborhood-restricted lookups. We use it to implement fast k-Nearest Neighbor and Rectangular range lookups in 2 dimenions. The primary target is high performance interactive graphics.
Author: Gabriel Becker
Maintainer: Gabriel Becker <gabembecker@gmail.com>

Diff between SearchTrees versions 0.5.2 dated 2012-08-24 and 0.5.3 dated 2022-05-11

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Package schtools updated to version 0.2.1 with previous version 0.1.1 dated 2022-03-11

Title: Schloss Lab Tools for Reproducible Microbiome Research
Description: A collection of useful functions and example code created and used by the Schloss Lab for reproducible microbiome research. Perform common tasks like read files created by mothur <https://mothur.org/>, tidy up your microbiome data, and format R Markdown documents for publication. See the website <http://www.schlosslab.org/schtools/> for more information, documentation, and examples.
Author: Kelly Sovacool [aut, cre] , Nick Lesniak [aut] , Patrick Schloss [aut], Sarah Lucas [ctb] , Courtney Armour [ctb] , Jacqueline Moltzau [ctb] , Andrew Hannah [ctb], Nielson Baxter [ctb], Alyxandria Schubert [ctb], Kathryn Iverson [ctb]
Maintainer: Kelly Sovacool <sovacool@umich.edu>

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Package prevR updated to version 4.0.0 with previous version 3.4.1 dated 2020-08-28

Title: Estimating Regional Trends of a Prevalence from a DHS and Similar Surveys
Description: Spatial estimation of a prevalence surface or a relative risks surface, using data from a Demographic and Health Survey (DHS) or an analog survey, see Larmarange et al. (2011) <doi:10.4000/cybergeo.24606>.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph.larmarange@ird.fr>

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Package pdp updated to version 0.8.0 with previous version 0.7.0 dated 2018-08-27

Title: Partial Dependence Plots
Description: A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

Diff between pdp versions 0.7.0 dated 2018-08-27 and 0.8.0 dated 2022-05-11

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Package themis updated to version 0.2.2 with previous version 0.2.1 dated 2022-04-13

Title: Extra Recipes Steps for Dealing with Unbalanced Data
Description: A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <arXiv:1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package fsdaR updated to version 0.7-0 with previous version 0.6-5 dated 2021-11-28

Title: Robust Data Analysis Through Monitoring and Dynamic Visualization
Description: Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is comprehensive and computationally efficient software package for robust statistics in regression, multivariate and categorical data analysis. The current R version implements tools for regression: (forward search, S- and MM-estimation, least trimmed squares (LTS) and least median of squares (LMS)), for multivariate analysis (forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression. The distinctive feature of our package is the possibility of monitoring the statistics of interest as a function of breakdown point, efficiency or subset size, depending on the estimator. This is accompanied by a rich set of graphical features, such as dynamic brushing, linking, particularly useful for exploratory data analysis.
Author: Valentin Todorov [aut, cre] , Emmanuele Sordini [aut], Aldo Corbellini [ctb], Francesca Torti [ctb], Marco Riani [ctb], Domenico Perrotta [ctb], Andrea Cerioli [ctb]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package LDlinkR updated to version 1.2.0 with previous version 1.1.2 dated 2021-02-19

Title: Calculating Linkage Disequilibrium (LD) in Human Population Groups of Interest
Description: Provides access to the 'LDlink' API (<https://ldlink.nci.nih.gov/?tab=apiaccess>) using the R console. This programmatic access facilitates researchers who are interested in performing batch queries in 1000 Genomes Project (2015) <doi:10.1038/nature15393> data using 'LDlink'. 'LDlink' is an interactive and powerful suite of web-based tools for querying germline variants in human population groups of interest. For more details, please see Machiela et al. (2015) <doi:10.1093/bioinformatics/btv402>.
Author: Timothy A. Myers [aut, cre] , Stephen J. Chanock [aut], Mitchell J. Machiela [aut]
Maintainer: Timothy A. Myers <myersta@mail.nih.gov>

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Package krippendorffsalpha updated to version 1.1-2 with previous version 1.1-1 dated 2021-11-03

Title: Measuring Agreement Using Krippendorff's Alpha Coefficient
Description: Provides tools for applying Krippendorff's Alpha methodology <DOI:10.1080/19312450709336664>. The framework supports common and user-defined distance functions, and can accommodate any number of units, any number of coders, and missingness. Bootstrap inference is permitted, and the computation can be done in parallel.
Author: John Hughes
Maintainer: John Hughes <drjphughesjr@gmail.com>

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Package filehashSQLite updated to version 0.2-6 with previous version 0.2-4 dated 2012-03-23

Title: Simple Key-Value Database Using SQLite
Description: Simple key-value database using SQLite as the back end.
Author: Roger D. Peng <rpeng@jhsph.edu>
Maintainer: Roger D. Peng <rpeng@jhsph.edu>

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Package BGLR updated to version 1.1.0 with previous version 1.0.9 dated 2021-11-13

Title: Bayesian Generalized Linear Regression
Description: Bayesian Generalized Linear Regression.
Author: Gustavo de los Campos, Paulino Perez Rodriguez
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

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Package reticulate updated to version 1.25 with previous version 1.24 dated 2022-01-26

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@rstudio.com>

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Package Rcgmin updated to version 2022-4.30 with previous version 2013-2.21 dated 2014-12-05

Title: Conjugate Gradient Minimization of Nonlinear Functions with Box Constraints
Description: Conjugate gradient minimization of nonlinear functions with box constraints using Dai/Yuan update.
Author: John C. Nash [aut, cre]
Maintainer: John C. Nash <nashjc@uottawa.ca>

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Package multispatialCCM updated to version 1.2 with previous version 1.0 dated 2014-10-18

Title: Multispatial Convergent Cross Mapping
Description: The multispatial convergent cross mapping algorithm can be used as a test for causal associations between pairs of processes represented by time series. This is a combination of convergent cross mapping (CCM), described in Sugihara et al., 2012, Science, 338, 496-500, and dew-drop regression, described in Hsieh et al., 2008, American Naturalist, 171, 71–80. The algorithm allows CCM to be implemented on data that are not from a single long time series. Instead, data can come from many short time series, which are stitched together using bootstrapping.
Author: Adam Clark
Maintainer: Adam Clark <adam.tclark@gmail.com>

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Package box updated to version 1.1.2 with previous version 1.1.1 dated 2022-04-23

Title: Write Reusable, Composable and Modular R Code
Description: A modern module system for R. Organise code into hierarchical, composable, reusable modules, and use it effortlessly across projects via a flexible, declarative dependency loading syntax.
Author: Konrad Rudolph [aut, cre] , Michael Schubert [ctb]
Maintainer: Konrad Rudolph <konrad.rudolph@gmail.com>

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Package blavaan updated to version 0.4-3 with previous version 0.4-1 dated 2022-01-27

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al. (2021) <doi:10.18637/jss.v100.i06>.
Author: Edgar Merkle [aut, cre] , Yves Rosseel [aut], Ben Goodrich [aut], Mauricio Garnier-Villarreal [ctb] , Terrence D. Jorgensen [ctb] , Huub Hoofs [ctb] , Rens van de Schoot [ctb] , Andrew Johnson [ctb] , Matthew Emery [ctb]
Maintainer: Edgar Merkle <merklee@missouri.edu>

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Package BET updated to version 0.5.0 with previous version 0.4.2 dated 2022-01-24

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921>, Kai Zhang, Zhigen Zhai, and Wen Zhou. (2021). BEAUTY Powered BEAST, <arXiv:2103.00674> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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Package stanette updated to version 2.21.4 with previous version 2.21.3 dated 2022-04-29

Title: R Interface to Stan
Description: Expansion and additions to 'rstan' to facilitate pharmacokinetics (PK) and pharmacodynamics (PD) modeling with 'rstan'. A PKPD model often is specified via a set of ordinary differential equations(ODEs) and requires flexible and different routes of drug administrations. These features make PKPD modeling with plain 'rstan' challenging and tedious to code. 'stanette' provides a powerful Stan-compatible ODE solver ('LSODA') and mechanism/utilities that make easy specification of flexible dosing records.
Author: Yuan Xiong [aut], Huijuan Xu [aut], Wenping Wang [cre, aut, cph], rstan developers [aut], Trustees of Columbia University [cph], John Plevyak [ctb, cph] , Linda Petzold [ctb]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package LA updated to version 2.1 with previous version 2.0 dated 2022-05-07

Title: Lioness Algorithm (LA)
Description: Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal Latin hypercube designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.
Author: Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]
Maintainer: Hongzhi Wang <hw34508@uga.edu>

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Package Compositional updated to version 5.6 with previous version 5.5 dated 2022-03-25

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. Fourth International International Workshop on Compositional Data Analysis. b) Tsagris M. (2014). The k-NN algorithm for compositional data: a revised approach with and without zero values present. Journal of Data Science, 12(3):519--534. c) Tsagris M. (2015). A novel, divergence based, regression for compositional data. Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. d) Tsagris M. (2015). Regression analysis with compositional data containing zero values. Chilean Journal of Statistics, 6(2):47--57. e) Tsagris M., Preston S. and Wood A.T.A. (2016). Improved supervised classification for compositional data using the alpha-transformation. Journal of Classification, 33(2):243--261. <doi:10.1007/s00357-016-9207-5>. f) Tsagris M., Preston S. and Wood A.T.A. (2017). Nonparametric hypothesis testing for equality of means on the simplex. Journal of Statistical Computation and Simulation, 87(2): 406--422. <doi:10.1080/00949655.2016.1216554>. g) Tsagris M. and Stewart C. (2018). A Dirichlet regression model for compositional data with zeros. Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>. h) Alenazi A. (2019). Regression for compositional data with compositional data as predictor variables with or without zero values. Journal of Data Science, 17(1): 219--238. <doi:10.6339/JDS.201901_17(1).0010>. i) Tsagris M. and Stewart C. (2020). A folded model for compositional data analysis. Australian and New Zealand Journal of Statistics, 62(2):249--277. <doi:10.1111/anzs.12289>. j) Tsagris M., Alenazi A. and Stewart C. (2021). Non-parametric regression models for compositional data. <arXiv:2002.05137>. k) Alenazi A. (2021). Alenazi, A. (2021). A review of compositional data analysis and recent advances. Communications in Statistics-Theory and Methods (Accepted for publication). <doi:10.1080/03610926.2021.2014890>. We further include functions for percentages (or proportions).
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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New package stdmod with initial version 0.1.7.1
Package: stdmod
Title: Standardized Moderation Effect and Its Confidence Interval
Version: 0.1.7.1
Description: Functions for computing a standardized moderation effect in moderated regression and forming its confidence interval by nonparametric bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2002) <doi:10.1037/hea0001188>. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.
URL: https://sfcheung.github.io/stdmod/
BugReports: https://github.com/sfcheung/stdmod/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, dplyr, knitr, rmarkdown, lavaan, visreg, lm.beta
Depends: R (>= 4.0.0)
Imports: boot, ggplot2, stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-10 15:11:13 UTC; sfcheung
Author: Shu Fai Cheung [aut, cre] , David Weng Ngai Vong [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-11 14:40:02 UTC

More information about stdmod at CRAN
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Package multibiplotGUI updated to version 1.1 with previous version 1.0 dated 2015-06-19

Title: Multibiplot Analysis in R
Description: Provides a GUI with which users can construct and interact with Multibiplot Analysis.
Author: Ana Belen Nieto Librero <ananieto@usal.es>, Nora Baccala <norabaccala@gmail.com>, Purificacion Vicente Galindo <purivg@usal.es>, Purificacion Galindo Villardon <pgalindo@usal.es>
Maintainer: Ana Belen Nieto Librero <ananieto@usal.es>

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Package wcde updated to version 0.0.4 with previous version 0.0.3 dated 2021-10-30

Title: Download Data from the Wittgenstein Centre Human Capital Data Explorer
Description: Download and plot education specific demographic data from the Wittgenstein Centre for Demography and Human Capital Data Explorer <http://dataexplorer.wittgensteincentre.org/>.
Author: Guy J. Abel [aut, cre, ctb] , Samir K.C. [ctb] , Michaela Potancokova [ctb], Claudia Reiter [ctb] , Andrea Tamburini [ctb], Dilek Yildiz [ctb]
Maintainer: Guy J. Abel <g.j.abel@gmail.com>

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Package ecolMod updated to version 1.2.6.2 with previous version 1.2.6 dated 2014-12-29

Title: "A Practical Guide to Ecological Modelling - Using R as a Simulation Platform"
Description: Figures, data sets and examples from the book "A practical guide to ecological modelling - using R as a simulation platform" by Karline Soetaert and Peter MJ Herman (2009). Springer. All figures from chapter x can be generated by "demo(chapx)", where x = 1 to 11. The R-scripts of the model examples discussed in the book are in subdirectory "examples", ordered per chapter. Solutions to model projects are in the same subdirectories.
Author: Karline Soetaert <karline.soetaert@nioz.nl>, Peter MJ Herman <peter.herman@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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Package ActCR updated to version 0.3.0 with previous version 0.2.0 dated 2021-01-28

Title: Extract Circadian Rhythms Metrics from Actigraphy Data
Description: Circadian rhythms are rhythms that oscillate about every 24 h, which has been observed in multiple physiological processes including core body temperature, hormone secretion, heart rate, blood pressure, and many others. Measuring circadian rhythm with wearables is based on a principle that there is increased movement during wake periods and reduced movement during sleep periods, and has been shown to be reliable and valid. This package can be used to extract nonparametric circadian metrics like intradaily variability (IV), interdaily stability (IS), and relative amplitude (RA); and parametric cosinor model and extended cosinor model coefficient. Details can be found in Junrui Di et al (2019) <doi:10.1007/s12561-019-09236-4>.
Author: Junrui Di [aut, cre], Vadim zipunnikov [aut], Vincent van Hees [ctb]
Maintainer: Junrui Di <dijunrui@gmail.com>

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Package transforEmotion updated to version 0.1.1 with previous version 0.1.0 dated 2022-04-04

Title: Sentiment Analysis for Text and Qualitative Data
Description: Implements sentiment analysis using huggingface <https://huggingface.co> transformer zero-shot classification model pipelines. The default pipeline is Cross-Encoder's DistilRoBERTa <https://huggingface.co/cross-encoder/nli-distilroberta-base> trained on the Stanford Natural Language Inference <https://nlp.stanford.edu/projects/snli/> and Multi-Genre Natural Language Inference <https://huggingface.co/datasets/multi_nli> datasets. Using similar models, zero-shot classification transformers have demonstrated superior performance relative to other natural language processing models <arXiv:1909.00161>. All other zero-shot classification model pipelines can be implemented using their model name from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>}.
Author: Alexander Christensen [aut, cre] , Hudson Golino [aut]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

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Package superb updated to version 0.95.0 with previous version 0.9.7.8 dated 2021-12-05

Title: Summary Plots with Adjusted Error Bars
Description: Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superbPlot(), can either return a plot or a dataframe with the statistic and its precision interval so that other plotting package can be used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109> or Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau (2005) <doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012) <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>, Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding <doi:10.20982/tqmp.15.1.p001> for specific references.
Author: Denis Cousineau [aut, cre], Bradley Harding [ctb], Marc-Andre Goulet [ctb], Jesika Walker [art, pre]
Maintainer: Denis Cousineau <denis.cousineau@uottawa.ca>

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Package PSweight updated to version 1.1.7 with previous version 1.1.6 dated 2021-12-02

Title: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.
Author: Tianhui Zhou [aut, cre], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut]
Maintainer: Tianhui Zhou <thuizhou@outlook.com>

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Package NetIndices updated to version 1.4.4.1 with previous version 1.4.4 dated 2014-12-26

Title: Estimating Network Indices, Including Trophic Structure of Foodwebs in R
Description: Given a network (e.g. a food web), estimates several network indices. These include: Ascendency network indices, Direct and indirect dependencies, Effective measures, Environ network indices, General network indices, Pathway analysis, Network uncertainty indices and constraint efficiencies and the trophic level and omnivory indices of food webs.
Author: Karline Soetaert <karline.soetaert@nioz.nl>, Julius Kipyegon Kones <jkones@uonbi.ac.ke>, Dick van Oevelen <dick.vanoevelen@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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Package modQR updated to version 0.1.3 with previous version 0.1.2 dated 2019-01-16

Title: Multiple-Output Directional Quantile Regression
Description: Contains basic tools for performing multiple-output quantile regression and computing regression quantile contours by means of directional regression quantiles. In the location case, one can thus obtain halfspace depth contours in two to six dimensions. Hallin, M., Paindaveine, D. and Šiman, M. (2010) Multivariate quantiles and multiple-output regression quantiles: from L1 optimization to halfspace depth. Annals of Statistics 38, 635-669 For more references about the method, see Help pages.
Author: Miroslav Šiman [aut], Pavel Boček [aut, cre]
Maintainer: Pavel Boček <bocek@utia.cas.cz>

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Package latentnet updated to version 2.10.6 with previous version 2.10.5 dated 2020-03-22

Title: Latent Position and Cluster Models for Statistical Networks
Description: Fit and simulate latent position and cluster models for statistical networks. See Krivitsky and Handcock (2008) <doi:10.18637/jss.v024.i05> and Krivitsky, Handcock, Raftery, and Hoff (2009) <doi:10.1016/j.socnet.2009.04.001>.
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [aut], Susan M. Shortreed [ctb], Jeremy Tantrum [ctb], Peter D. Hoff [ctb], Li Wang [ctb], Kirk Li [ctb], Jake Fisher [ctb], Jordan T. Bates [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package GeoWeightedModel updated to version 1.0.0 with previous version 0.9.1 dated 2022-01-05

Title: User-Friendly Interface for Geographically-Weighted Models
Description: Contains the development of a tool that provides a web-based graphical user interface (GUI) to perform Techniques from a subset of spatial statistics known as geographically weighted (GW) models. Contains methods described by Brunsdon et al., 1996 <doi:10.1111/j.1538-4632.1996.tb00936.x>, Brunsdon et al., 2002 <doi:10.1016/s0198-9715(01)00009-6>, Harris et al., 2011 <doi:10.1080/13658816.2011.554838>, Brunsdon et al., 2007 <doi:10.1111/j.1538-4632.2007.00709.x>.
Author: Javier De La Hoz Maestre [cre, aut] , Maria Jose Fernandez Gomez [aut] , Susana Mendez [aut]
Maintainer: Javier De La Hoz Maestre <jdelahozmaestre@gmail.com>

Diff between GeoWeightedModel versions 0.9.1 dated 2022-01-05 and 1.0.0 dated 2022-05-11

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Package TreeSearch updated to version 1.1.2 with previous version 1.1.1 dated 2022-03-22

Title: Phylogenetic Analysis with Morphological Data
Description: Reconstruct phylogenetic trees from discrete data. Inapplicable character states are handled using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083> with the "Morphy" library, under equal or implied step weights. Contains a "shiny" user interface for interactive tree search and exploration of results, including character visualization, rogue taxon detection, tree space mapping, and cluster consensus trees (Smith 2022a, b) <doi:10.1093/sysbio/syab099>, <doi:10.1093/sysbio/syab100>. Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, Successive Approximations (Farris, 1969) <doi:10.2307/2412182> and custom optimality criteria are implemented.
Author: Martin R. Smith [aut, cre, cph] , Martin Brazeau [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeSearch versions 1.1.1 dated 2022-03-22 and 1.1.2 dated 2022-05-11

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Package RankResponse updated to version 4.0.0 with previous version 3.1.1 dated 2014-09-11

Title: Ranking Responses in a Single Response Question or a Multiple Response Question
Description: Methods for ranking responses of a single response question or a multiple response question are described in the two papers: 1. Wang, H. (2008). Ranking Responses in Multiple-Choice Questions. Journal of Applied Statistics, 35, 465-474. <DOI:10.1080/02664760801924533> 2. Wang, H. and Huang, W. H. (2014). Bayesian Ranking Responses in Multiple Response Questions. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177, 191-208. <DOI:10.1111/rssa.12009>.
Author: Hsiuying Wang, Yu-Chun Lin, Wan-Ting Huang
Maintainer: Hsiuying Wang <wang@stat.nycu.edu.tw>

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Package r2d2 updated to version 1.0.1 with previous version 1.0-0 dated 2014-03-31

Title: Bivariate (Two-Dimensional) Confidence Region and Frequency Distribution
Description: Generic functions to analyze the distribution of two continuous variables: 'conf2d' to calculate a smooth empirical confidence region, and 'freq2d' to calculate a frequency distribution.
Author: Arni Magnusson [aut, cre], Julian Burgos [aut], Gregory R. Warnes [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package PCRedux updated to version 1.1-2 with previous version 1.1 dated 2021-03-16

Title: Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit
Description: Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al. (2014) <doi:10.1016/j.bdq.2014.08.002>) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al. (2018) <doi:10.1016/j.bdq.2018.08.001>) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
Author: Stefan Roediger [cre, aut] , Michal Burdukiewicz [aut] , Andrej-Nikolai Spiess [aut] , Konstantin A. Blagodatskikh [aut] , Dominik Rafacz [ctb]
Maintainer: Stefan Roediger <stefan.roediger@b-tu.de>

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New package MixGHD with initial version 2.3.7
Package: MixGHD
Title: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Version: 2.3.7
Date: 2022-05-10
Maintainer: Cristina Tortora <grikris1@gmail.com>
Author: Cristina Tortora [aut, cre, cph], Aisha ElSherbiny [com], Ryan P. Browne [aut, cph], Brian C. Franczak [aut, cph], and Paul D. McNicholas [aut, cph], and Donald D. Amos [ctb].
Description: Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution. The first model 'MGHD' (Browne and McNicholas (2015) <doi:10.1002/cjs.11246>) is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' (Tortora et al. (2016) <doi:10.1007/s11634-015-0204-z>) is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The 'MSGHD' is the mixture of multiple scaled generalized hyperbolic distributions, the 'cMSGHD' is a 'MSGHD' with convex contour plots and the 'MCGHD', mixture of coalesced generalized hyperbolic distributions is a new more flexible model (Tortora et al. (2019)<doi:10.1007/s00357-019-09319-3>. The paper related to the software can be found at <doi:10.18637/jss.v098.i03>.
Imports: Bessel,stats, mvtnorm, ghyp, numDeriv, mixture, e1071,cluster, methods
Depends: MASS, R (>= 3.1.3)
NeedsCompilation: no
License: GPL (>= 2)
Packaged: 2022-05-10 17:56:15 UTC; 011543324
Repository: CRAN
Date/Publication: 2022-05-11 11:50:07 UTC

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New package maskRangeR with initial version 1.1
Package: maskRangeR
Title: Mask Species Geographic Ranges
Version: 1.1
Description: Mask ranges based on expert knowledge or remote sensing layers. These tools can be combined to quantitatively and reproducibly generate a new map or to update an existing map. Methods include expert opinion and data-driven tools to generate thresholds for binary masks.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.4.0)
Imports: dplyr, e1071, lubridate, magrittr, raster, sp, stats, utils,
Suggests: dismo, testthat, knitr, rmarkdown, wallace
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-10 16:23:32 UTC; ctg
Author: Cory Merow [aut, cre], Peter J. Galante [aut], Jamie M. Kass [aut], Cecina Babich Morrow [aut], Valentina Grisales Betancur [aut]
Maintainer: Cory Merow <cory.merow@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-11 11:50:02 UTC

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Package GetTDData updated to version 1.5.1 with previous version 1.4.5 dated 2022-04-06

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package LIM updated to version 1.4.7 with previous version 1.4.6 dated 2014-12-26

Title: Linear Inverse Model Examples and Solution Methods
Description: Functions that read and solve linear inverse problems (food web problems, linear programming problems). These problems find solutions to linear or quadratic functions: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi) subject to equality constraints Ex=f and inequality constraints Gx>=h.
Author: Karline Soetaert <karline.soetaert@nioz.nl>, Dick van Oevelen<dick.vanoevelen@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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Package shinyWidgets updated to version 0.7.0 with previous version 0.6.4 dated 2022-02-06

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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 shinyWidgets-0.7.0/shinyWidgets/R/input-airDatepicker.R                                                  |  796 ++---
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 189 files changed, 9074 insertions(+), 10026 deletions(-)

More information about shinyWidgets at CRAN
Permanent link

New package rnetcarto with initial version 0.2.5
Package: rnetcarto
Title: Fast Network Modularity and Roles Computation by Simulated Annealing (Rgraph C Library Wrapper for R)
Version: 0.2.5
Description: Provides functions to compute the modularity and modularity-related roles in networks. It is a wrapper around the rgraph library (Guimera & Amaral, 2005, <doi:10.1038/nature03288>).
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: no
SystemRequirements: GNU GSL
NeedsCompilation: yes
Suggests: testthat, knitr, rmarkdown, igraph
VignetteBuilder: knitr
Packaged: 2022-05-11 02:22:49 UTC; stouffer
Author: Daniel B. Stouffer [cre, aut, ths] , Guilhem Doulcier [aut] , Roger Guimera [ctb]
Maintainer: Daniel B. Stouffer <daniel.stouffer@canterbury.ac.nz>
Repository: CRAN
Date/Publication: 2022-05-11 09:30:02 UTC

More information about rnetcarto at CRAN
Permanent link

Package OneSampleMR updated to version 0.1.2 with previous version 0.1.1 dated 2022-04-28

Title: One Sample Mendelian Randomization and Instrumental Variable Analyses
Description: Useful functions for one-sample (individual level data) Mendelian randomization and instrumental variable analyses. The package includes implementations of; the Sanderson and Windmeijer (2016) <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic, the multiplicative structural mean model Hernán and Robins (2006) <doi:10.1097/01.ede.0000222409.00878.37>, and two-stage predictor substitution and two-stage residual inclusion estimators explained by Terza et al. (2008) <doi:10.1016/j.jhealeco.2007.09.009>.
Author: Tom Palmer [aut, cre] , Wes Spiller [aut] , Eleanor Sanderson [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

Diff between OneSampleMR versions 0.1.1 dated 2022-04-28 and 0.1.2 dated 2022-05-11

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New package LS2Wstat with initial version 2.1-4
Package: LS2Wstat
Title: A Multiscale Test of Spatial Stationarity for LS2W Processes
Version: 2.1-4
Date: 2022-05-09
Depends: LS2W(>= 1.3-1)
Imports: matrixStats, spdep
Description: Wavelet-based methods for testing stationarity and quadtree segmenting of images, see Taylor et al (2014) <doi:10.1080/00401706.2013.823890>.
License: GPL-2
Author: Sarah Taylor [aut], Matt Nunes [aut, cre], Idris Eckley [ctb, ths]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>
LazyLoad: yes
Packaged: 2022-05-09 18:29:59 UTC; man54
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-05-11 09:40:08 UTC

More information about LS2Wstat at CRAN
Permanent link

New package gamboostLSS with initial version 2.0-6
Package: gamboostLSS
Title: Boosting Methods for 'GAMLSS'
Version: 2.0-6
Date: 2022-05-05
Description: Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
Depends: R (>= 2.10.0), mboost (>= 2.8-0), stabs (>= 0.5-0), parallel
Imports: graphics, grDevices, stats, utils
Suggests: gamlss, gamlss.dist, survival, BayesX, R2BayesX
LazyLoad: yes
LazyData: yes
License: GPL-2
URL: For source code, development versions and issue tracker see https://github.com/boost-R/gamboostLSS
NeedsCompilation: no
Packaged: 2022-05-05 14:59:30 UTC; Benjamin (PEI)
Author: Benjamin Hofner [aut, cre] , Andreas Mayr [aut], Nora Fenske [aut], Janek Thomas [aut], Matthias Schmid [aut]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>
Repository: CRAN
Date/Publication: 2022-05-11 09:30:05 UTC

More information about gamboostLSS at CRAN
Permanent link

Package eventdataR updated to version 0.3.0 with previous version 0.2.0 dated 2018-03-20

Title: Event Data Repository
Description: Event dataset repository including both real-life and artificial event logs. They can be used in combination with functionalities provided by the 'bupaR' packages. Janssenswillen et al. (2020) <http://ceur-ws.org/Vol-2703/paperTD7.pdf>.
Author: Gert Janssenswillen [aut, cre]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

Diff between eventdataR versions 0.2.0 dated 2018-03-20 and 0.3.0 dated 2022-05-11

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Package corpustools updated to version 0.4.10 with previous version 0.4.9 dated 2022-01-23

Title: Managing, Querying and Analyzing Tokenized Text
Description: Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations). Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences), similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages, and the possibility to reconstruct original text from tokens to facilitate interpretation.
Author: Kasper Welbers and Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

Diff between corpustools versions 0.4.9 dated 2022-01-23 and 0.4.10 dated 2022-05-11

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New package camtrapR with initial version 2.2.0
Package: camtrapR
Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Version: 2.2.0
Date: 2022-05-05
Depends: R (>= 3.1.0)
Imports: methods, generics, sf, sp, overlap, secr, data.table, lubridate, ggplot2
Suggests: knitr, raster, rgdal, ritis, rmarkdown, taxize, testthat, tibble, unmarked, zip, RSQLite, lattice, magick, tesseract, snow, nimble, nimbleEcology, coda, rjags, snowfall, reshape2, R.rsp
VignetteBuilder: R.rsp
SystemRequirements: ExifTool (https://exiftool.org/)
Description: Management of and data extraction from camera trap data in wildlife studies. The package provides a workflow for storing and sorting camera trap photos (and videos), tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it can visualise species activity data and provides simple mapping functions with GIS export.
URL: https://github.com/jniedballa/camtrapR, https://jniedballa.github.io/camtrapR/, https://groups.google.com/forum/#!forum/camtrapr
BugReports: https://groups.google.com/forum/#!forum/camtrapr
Encoding: UTF-8
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-05-10 10:27:04 UTC; niedballa
Author: Juergen Niedballa [aut, cre] , Alexandre Courtiol [aut] , Rahel Sollmann [aut] , John Mathai [ctb], Seth Timothy Wong [ctb], An The Truong Nguyen [ctb] , Azlan bin Mohamed [ctb] , Andrew Tilker [ctb] , Roshan Guharajan [ctb] , Ioannis Alexiou [ctb] , [...truncated...]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-11 09:20:02 UTC

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Package upsetjs updated to version 1.11.0 with previous version 1.10.11 dated 2022-01-27

Title: 'HTMLWidget' Wrapper of 'UpSet.js' for Exploring Large Set Intersections
Description: 'UpSet.js' is a re-implementation of 'UpSetR' to create interactive set visualizations for more than three sets. This is a 'htmlwidget' wrapper around the 'JavaScript' library 'UpSet.js'.
Author: Samuel Gratzl [aut, cre]
Maintainer: Samuel Gratzl <sam@sgratzl.com>

Diff between upsetjs versions 1.10.11 dated 2022-01-27 and 1.11.0 dated 2022-05-11

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Package transfR updated to version 0.1.2 with previous version 0.1.1 dated 2021-12-20

Title: Transfer of Hydrograph from Gauged to Ungauged Catchments
Description: A geomorphology-based hydrological modelling for transferring streamflow measurements from gauged to ungauged catchments. Inverse modelling enables to estimate net rainfall from streamflow measurements following Boudhraâ et al. (2018) <doi:10.1080/02626667.2018.1425801>. Resulting net rainfall is then estimated on the ungauged catchments by spatial interpolation in order to finally simulate streamflow following de Lavenne et al. (2016) <doi:10.1002/2016WR018716>.
Author: Alban de Lavenne [aut, cre] , Christophe Cudennec [ths] , Tom Loree [ctb], Herve Squividant [ctb]
Maintainer: Alban de Lavenne <alban.delavenne@inrae.fr>

Diff between transfR versions 0.1.1 dated 2021-12-20 and 0.1.2 dated 2022-05-11

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Package SpiceFP updated to version 0.1.1 with previous version 0.1.0 dated 2021-09-15

Title: Sparse Method to Identify Joint Effects of Functional Predictors
Description: A set of functions allowing to implement the 'SpiceFP' approach which is iterative. It involves transformation of functional predictors into several candidate explanatory matrices (based on contingency tables), to which relative edge matrices with contiguity constraints are associated. Generalized Fused Lasso regression are performed in order to identify the best candidate matrix, the best class intervals and related coefficients at each iteration. The approach is stopped when the maximal number of iterations is reached or when retained coefficients are zeros. Supplementary functions allow to get coefficients of any candidate matrix or mean of coefficients of many candidates.
Author: Girault Gnanguenon Guesse [aut, cre], Patrice Loisel [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Thierry Simonneau [ctr], Isabelle Sanchez [ctr]
Maintainer: Girault Gnanguenon Guesse <girault.gnanguenon@gmail.com>

Diff between SpiceFP versions 0.1.0 dated 2021-09-15 and 0.1.1 dated 2022-05-11

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Package SECP updated to version 0.1.5 with previous version 0.1-4 dated 2012-07-09

Title: Statistical Estimation of Cluster Parameters
Description: Estimating parameters of site clusters on 2D & 3D square lattice with various lattice sizes, relative fractions of open sites (occupation probability), iso- & anisotropy, von Neumann & Moore (1,d)-neighborhoods, described by Moskalev P.V. et al. (2011) <arXiv:1105.2334v1>.
Author: Pavel V. Moskalev
Maintainer: Pavel V. Moskalev <moskalefff@gmail.com>

Diff between SECP versions 0.1-4 dated 2012-07-09 and 0.1.5 dated 2022-05-11

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Package glmmLasso updated to version 1.6.1 with previous version 1.6.0 dated 2022-05-05

Title: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation
Description: A variable selection approach for generalized linear mixed models by L1-penalized estimation is provided.
Author: Andreas Groll
Maintainer: Andreas Groll <groll@statistik.tu-dortmund.de>

Diff between glmmLasso versions 1.6.0 dated 2022-05-05 and 1.6.1 dated 2022-05-11

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New package fitHeavyTail with initial version 0.1.4
Package: fitHeavyTail
Title: Mean and Covariance Matrix Estimation under Heavy Tails
Version: 0.1.4
Date: 2022-5-11
Description: Robust estimation methods for the mean vector, scatter matrix, and covariance matrix (if it exists) from data (possibly containing NAs) under multivariate heavy-tailed distributions such as angular Gaussian (via Tyler's method), Cauchy, and Student's t distributions. Additionally, a factor model structure can be specified for the covariance matrix. The latest revision also includes the multivariate skewed t distribution. The package is based on the papers: Sun, Babu, and Palomar (2014), Sun, Babu, and Palomar (2015), Liu and Rubin (1995), and Zhou, Liu, Kumar, and Palomar (2019).
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>
URL: https://CRAN.R-project.org/package=fitHeavyTail, https://github.com/dppalomar/fitHeavyTail, https://www.danielppalomar.com, https://doi.org/10.1109/TSP.2014.2348944, https://doi.org/10.1109/TSP.2015.2417513
BugReports: https://github.com/dppalomar/fitHeavyTail/issues
License: GPL-3
Encoding: UTF-8
Depends:
Imports: ICSNP, mvtnorm, ghyp, numDeriv, stats
Suggests: knitr, ggplot2, prettydoc, reshape2, rmarkdown, R.rsp, testthat
VignetteBuilder: knitr, rmarkdown, R.rsp
NeedsCompilation: no
Packaged: 2022-05-11 00:19:43 UTC; palomar
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut], Xiwen Wang [aut]
Repository: CRAN
Date/Publication: 2022-05-11 08:40:02 UTC

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Package cncaGUI updated to version 1.1 with previous version 1.0 dated 2015-06-21

Title: Canonical Non-Symmetrical Correspondence Analysis in R
Description: A GUI with which users can construct and interact with Canonical Correspondence Analysis and Canonical Non-Symmetrical Correspondence Analysis and provides inferential results by using Bootstrap Methods.
Author: Ana Belen Nieto Librero <ananieto@usal.es>, Priscila Willems <pwillems@bariloche.inta.gov.ar>, Purificacion Galindo Villardon <pgalindo@usal.es>
Maintainer: Ana Belen Nieto Librero <ananieto@usal.es>

Diff between cncaGUI versions 1.0 dated 2015-06-21 and 1.1 dated 2022-05-11

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Package bbmle updated to version 1.0.25 with previous version 1.0.24 dated 2021-08-05

Title: Tools for General Maximum Likelihood Estimation
Description: Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.
Author: Ben Bolker [aut, cre], R Development Core Team [aut], Iago Gine-Vazquez [ctb]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

Diff between bbmle versions 1.0.24 dated 2021-08-05 and 1.0.25 dated 2022-05-11

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Package stplanr updated to version 0.9.0 with previous version 0.8.7 dated 2022-02-01

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <https://cyclestreets.net/> and calculation of route segment attributes such as bearing. The package implements the 'travel flow aggregration' method described in Morgan and Lovelace (2020) <doi:10.1177/2399808320942779>. Further information on the package's aim and scope can be found in the vignettes and in a paper in the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>. This package Suggests the 'pct' package which at the time of writing is unavailable on CRAN. You can install it from the repository 'itsleeds/pct' on GitHub.
Author: Robin Lovelace [aut, cre] , Richard Ellison [aut], Malcolm Morgan [aut] , Barry Rowlingson [ctb], Nick Bearman [ctb], Nikolai Berkoff [ctb], Scott Chamberlain [rev] , Mark Padgham [ctb], Andrea Gilardi [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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 vignettes/references.bib         |    2 
 vignettes/stplanr-od.Rmd         |    2 
 44 files changed, 1314 insertions(+), 325 deletions(-)

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Package penalizedSVM updated to version 1.1.3 with previous version 1.1.2 dated 2018-07-26

Title: Feature Selection SVM using Penalty Functions
Description: Support Vector Machine (SVM) classification with simultaneous feature selection using penalty functions is implemented. The smoothly clipped absolute deviation (SCAD), 'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic SCAD' (SCAD and 'L2-norm') penalties are available. The tuning parameters can be found using either a fixed grid or a interval search.
Author: Natalia Becker, Wiebke Werft, Axel Benner
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between penalizedSVM versions 1.1.2 dated 2018-07-26 and 1.1.3 dated 2022-05-11

 DESCRIPTION                  |   12 
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 10 files changed, 1312 insertions(+), 1307 deletions(-)

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Package comf updated to version 0.1.11 with previous version 0.1.10 dated 2021-02-12

Title: Models and Equations for Human Comfort Research
Description: Calculation of various common and less common comfort indices such as predicted mean vote or the two node model. Converts physical variables such as relative to absolute humidity and evaluates the performance of comfort indices.
Author: Marcel Schweiker [aut, cre] , Sophia Mueller [aut], Michael Kleber [ctr], Boris Kingma [ctr] , Masanori Shukuya [ctr] , Shaomi Rahman [ctr], Shoaib Sarwar [ctr]
Maintainer: Marcel Schweiker <mschweiker@ukaachen.de>

Diff between comf versions 0.1.10 dated 2021-02-12 and 0.1.11 dated 2022-05-11

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 inst/doc/R_packages-comf.pdf  |binary
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 man/dfSolarGainValues.Rd      |   66 ++++-----
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 vignettes/R_packages-comf.ltx |   36 ++---
 68 files changed, 3382 insertions(+), 3343 deletions(-)

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Package influence.SEM updated to version 2.3 with previous version 2.2 dated 2018-04-14

Title: Case Influence in Structural Equation Models
Description: A set of tools for evaluating several measures of case influence for structural equation models.
Author: Massimiliano Pastore & Gianmarco Altoe'
Maintainer: Massimiliano Pastore <massimiliano.pastore@unipd.it>

Diff between influence.SEM versions 2.2 dated 2018-04-14 and 2.3 dated 2022-05-11

 DESCRIPTION       |    8 ++++----
 MD5               |   20 ++++++++++----------
 NAMESPACE         |    1 +
 NEWS              |    7 +++++++
 R/Deltachi.R      |    2 +-
 R/Likedist.R      |    2 +-
 R/fitinfluence.R  |    4 +---
 R/genCookDist.R   |    7 +++----
 R/parinfluence.R  |    5 ++---
 man/Deltachi.Rd   |    5 ++++-
 man/sem.fitres.Rd |    4 +---
 11 files changed, 35 insertions(+), 30 deletions(-)

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New package soiltestcorr with initial version 2.1.1
Package: soiltestcorr
Title: Soil Test Correlation and Calibration
Version: 2.1.1
Date: 2022-05-10
Description: A compilation of functions designed to assist users on the correlation analysis of crop yield and soil test values. Functions to estimate response patterns to nutrient availability and critical soil test values using alternative approaches such as: 1) the modified arcsine-log calibration curve (Correndo et al. (2017) <doi:10.1071/CP16444>); 2) the graphical Cate-Nelson quadrants-analysis (Cate & Nelson (1965)), 3) the statistical Cate-Nelson quadrants-analysis (Cate & Nelson (1971) <doi:10.2136/sssaj1971.03615995003500040048x>), 4) the linear-plateau regression (Anderson & Nelson (1975) <doi:10.2307/2529422>), 5) the quadratic-plateau regression (Bullock & Bullock (1994) <doi:10.2134/agronj1994.00021962008600010033x>), and 6) the Mitscherlich regression (Melsted & Peck (1977) <doi:10.2134/asaspecpub29.c1>).
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: smatr, covr, knitr, rmarkdown, testthat
Imports: stats, dplyr, rlang, tidyr, utils, purrr, data.table, ggplot2, ggpp, nlstools, minpack.lm, modelr, AICcmodavg
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: https://adriancorrendo.github.io/soiltestcorr/
BugReports: https://github.com/adriancorrendo/soiltestcorr/issues
NeedsCompilation: no
Packaged: 2022-05-10 06:54:02 UTC; correndo
Author: Adrian A. Correndo [cre, cph] , Adrian A. Correndo [aut] , Austin Pearce [aut] , Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <correndo@ksu.edu>
Repository: CRAN
Date/Publication: 2022-05-11 05:50:02 UTC

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New package mnorm with initial version 1.0.0
Package: mnorm
Title: Multivariate Normal Distribution
Version: 1.0.0
Date: 2022-05-08
Description: Calculates and differentiates probabilities and density of (conditional) multivariate normal distribution using methods described in A. Genz (2004) <doi:10.1023/B:STCO.0000035304.20635.31>, A. Genz, F. Bretz (2009) <doi:10.1007/978-3-642-01689-9> and E. Kossova, B. Potanin (2018) <https:ideas.repec.org/a/ris/apltrx/0346.html>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.6)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2022-05-09 21:55:50 UTC; bogda
Author: Bogdan Potanin [aut, cre, ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-11 05:40:02 UTC

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Package gdata updated to version 2.18.0.1 with previous version 2.18.0 dated 2017-06-06

Title: Various R Programming Tools for Data Manipulation
Description: Various R programming tools for data manipulation, including: - medical unit conversions ('ConvertMedUnits', 'MedUnits'), - combining objects ('bindData', 'cbindX', 'combine', 'interleave'), - character vector operations ('centerText', 'startsWith', 'trim'), - factor manipulation ('levels', 'reorder.factor', 'mapLevels'), - obtaining information about R objects ('object.size', 'elem', 'env', 'humanReadable', 'is.what', 'll', 'keep', 'ls.funs', 'Args','nPairs', 'nobs'), - manipulating MS-Excel formatted files ('read.xls', 'installXLSXsupport', 'sheetCount', 'xlsFormats'), - generating fixed-width format files ('write.fwf'), - extricating components of date & time objects ('getYear', 'getMonth', 'getDay', 'getHour', 'getMin', 'getSec'), - operations on columns of data frames ('matchcols', 'rename.vars'), - matrix operations ('unmatrix', 'upperTriangle', 'lowerTriangle'), - operations on vectors ('case', 'unknownToNA', 'duplicated2', 'trimSum'), - operations on data frames ('frameApply', 'wideByFactor'), - value of last evaluated expression ('ans'), and - wrapper for 'sample' that ensures consistent behavior for both scalar and vector arguments ('resample').
Author: Gregory R. Warnes, Ben Bolker, Gregor Gorjanc, Gabor Grothendieck, Ales Korosec, Thomas Lumley, Don MacQueen, Arni Magnusson, Jim Rogers, and others
Maintainer: Gregory R. Warnes <greg@warnes.net>

Diff between gdata versions 2.18.0 dated 2017-06-06 and 2.18.0.1 dated 2022-05-11

 DESCRIPTION            |    6 +++---
 MD5                    |   16 ++++++++--------
 R/env.R                |    2 +-
 R/is.what.R            |    2 +-
 R/ll.R                 |    2 +-
 man/ConvertMedUnits.Rd |    2 +-
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 man/humanReadable.Rd   |    6 +++---
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 9 files changed, 20 insertions(+), 20 deletions(-)

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New package ccpsyc with initial version 0.2.6
Package: ccpsyc
Title: Methods for Cross-Cultural Psychology
Version: 0.2.6
Description: With the development of new cross-cultural methods this package is intended to combine multiple functions automating and simplifying functions providing a unified analysis approach for commonly employed methods.
License: GPL-3
Depends: R (>= 4.0.0)
Imports: magrittr, dplyr, lavaan, readr, MCMCpack, psych, ufs, xlsx, tibble, rlang, RcppAlgos, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-05-10 03:45:45 UTC; karljo
Author: Johannes Karl [aut, cre]
Maintainer: Johannes Karl <johannes.a.karl@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-11 05:50:06 UTC

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Package obliqueRF (with last version 0.3) was removed from CRAN

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

2012-08-10 0.3

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Package lfstat (with last version 0.9.4) was removed from CRAN

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

2016-08-24 0.9.4
2016-07-01 0.9.0
2015-09-29 0.8.0
2014-08-12 0.6.1
2014-02-26 0.6
2014-01-17 0.5
2013-07-25 0.3
2013-02-27 0.2

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Package RcmdrPlugin.lfstat (with last version 0.8.3) was removed from CRAN

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

2018-06-26 0.8.3
2016-08-24 0.8.1
2013-12-18 0.7
2013-10-01 0.5
2013-07-23 0.4
2013-04-15 0.3

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