Tue, 20 Apr 2021

Package Rblpapi updated to version 0.3.11 with previous version 0.3.10 dated 2019-04-07

Title: R Interface to 'Bloomberg'
Description: An R Interface to 'Bloomberg' is provided via the 'Blp API'.
Author: Whit Armstrong, Dirk Eddelbuettel and John Laing
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rblpapi versions 0.3.10 dated 2019-04-07 and 0.3.11 dated 2021-04-20

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Package stacks updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-23

Title: Tidy Model Stacking
Description: Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
Author: Simon Couch [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>

Diff between stacks versions 0.1.0 dated 2020-11-23 and 0.2.0 dated 2021-04-20

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Package njtr1 updated to version 0.2.0 with previous version 0.1.1 dated 2021-04-04

Title: Download, Analyze & Clean New Jersey Car Crash Data
Description: Download and analyze motor vehicle crash data released by the New Jersey Department of Transportation (NJDOT). The data in this package is collected through the filing of NJTR-1 form by police officers, which provide a standardized way of documenting a motor vehicle crash that occurred in New Jersey. 3 different data tables containing data on crashes, vehicles & pedestrians released from 2001 to the present can be downloaded & cleaned using this package.
Author: Gavin Rozzi [aut, cre] (<https://orcid.org/0000-0002-9969-8175>)
Maintainer: Gavin Rozzi <gr@gavinrozzi.com>

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Package xROI updated to version 0.9.18 with previous version 0.9.17 dated 2020-07-24

Title: Delineate Region of Interests (ROI's) and Extract Time-Series Data from Digital Repeat Photography Images
Description: Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time-series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called 'xROI', that facilitate the process time-series extraction and improve the quality of the final data. 'xROI' provides a responsive environment for scientists to interactively a) delineate regions of interest (ROI), b) handle field of view (FOV) shifts, and c) extract and export time series data characterizing image color (i.e. red, green and blue channel digital numbers for the defined ROI). Using 'xROI', user can detect FOV shifts without minimal difficulty. The software gives user the opportunity to readjust the mask files or redraw new ones every time an FOV shift occurs. 'xROI' helps to significantly improve data accuracy and continuity.
Author: Bijan Seyednasrollah, Thomas Milliman, Andrew D. Richardson
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

Diff between xROI versions 0.9.17 dated 2020-07-24 and 0.9.18 dated 2021-04-20

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Package writexl updated to version 1.4.0 with previous version 1.3.1 dated 2020-08-26

Title: Export Data Frames to Excel 'xlsx' Format
Description: Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter'. Fast and no Java or Excel required.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), John McNamara [cph] (Author of libxlsxwriter (see AUTHORS and COPYRIGHT files for details))
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package NNS updated to version 0.6.3.1 with previous version 0.6.2 dated 2021-03-15

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 0.6.2 dated 2021-03-15 and 0.6.3.1 dated 2021-04-20

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Package bayesGARCH updated to version 2.1.7 with previous version 2.1.5 dated 2020-04-20

Title: Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
Description: Provides the bayesGARCH() function which performs the Bayesian estimation of the GARCH(1,1) model with Student's t innovations as described in Ardia (2008) <doi:10.1007/978-3-540-78657-3>.
Author: David Ardia [aut, cre]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package basecamb updated to version 1.0.1 with previous version 0.9.0 dated 2021-04-10

Title: Utilities for Streamlined Data Import, Imputation and Modelling
Description: Provides functions streamlining the data analysis workflow: Outsourcing data import, renaming and type casting to a *.csv. Manipulating imputed datasets and fitting models on them. Summarizing models.
Author: J. Peter Marquardt [aut] (<https://orcid.org/0000-0002-5596-1357>), Till D. Best [aut, cre] (<https://orcid.org/0000-0001-7323-827X>)
Maintainer: Till D. Best <till-best@gmx.de>

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Package coil updated to version 1.2.3 with previous version 1.2.2 dated 2020-10-29

Title: Contextualization and Evaluation of COI-5P Barcode Data
Description: Designed for the cleaning, contextualization and assessment of cytochrome c oxidase I DNA barcode data (COI-5P, or the five prime portion of COI). It contains functions for placing COI-5P barcode sequences into a common reading frame, translating DNA sequences to amino acids and for assessing the likelihood that a given barcode sequence includes an insertion or deletion error. The error assessment relies on the comparison of input sequences against nucleotide and amino acid profile hidden Markov models (PHMMs) (for details see Durbin et al. 1998, ISBN: 9780521629713) trained on a taxonomically diverse set of reference sequences. The functions are provided as a complete pipeline and are also available individually for efficient and targeted analysis of barcode data.
Author: Cameron M. Nugent
Maintainer: Cameron M. Nugent <nugentc@uoguelph.ca>

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Package mkin updated to version 1.0.4 with previous version 1.0.3 dated 2021-02-15

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb] (contributed to mkinresplot()), René Lehmann [ctb] (ilr() and invilr()), Eurofins Regulatory AG [cph] (copyright for some of the contributions of JR 2012-2014)
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

Diff between mkin versions 1.0.3 dated 2021-02-15 and 1.0.4 dated 2021-04-20

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Package journalabbr updated to version 0.2.5 with previous version 0.2.2 dated 2020-08-06

Title: Journal Abbreviations for BibTeX Documents
Description: Since the reference management software (such as 'Zotero', 'Mendeley') exports Bib file journal abbreviation is not detailed enough, the 'journalabbr' package only abbreviates the journal field of Bib file, and then outputs a new Bib file for generating reference format with journal abbreviation on other software (such as 'texstudio'). The abbreviation table is from 'JabRef'. At the same time, 'Shiny' application is provided to generate 'thebibliography', a reference format that can be directly used for latex paper writing based on 'Rmd' files.
Author: ShuCai Zou [aut, cre], Yu Chen [aut]
Maintainer: ShuCai Zou <zscmoyujian@163.com>

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Package liver updated to version 1.7 with previous version 1.6 dated 2021-04-06

Title: "Eating the Liver of Data Science"
Description: Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package worldmet updated to version 0.9.5 with previous version 0.9.4 dated 2021-04-09

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package tune updated to version 0.1.4 with previous version 0.1.3 dated 2021-02-28

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package splancs updated to version 2.01-42 with previous version 2.01-40 dated 2017-04-16

Title: Spatial and Space-Time Point Pattern Analysis
Description: The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode".
Author: Roger Bivand [cre], Barry Rowlingson [aut], Peter Diggle [aut], Giovanni Petris [ctb], Stephen Eglen [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package parsedate updated to version 1.2.1 with previous version 1.2.0 dated 2019-05-08

Title: Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats
Description: Parse dates automatically, without the need of specifying a format. Currently it includes the git date parser. It can also recognize and parse all ISO 8601 formats.
Author: Gábor Csárdi, Linus Torvalds
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package multiAssetOptions updated to version 0.1-2 with previous version 0.1-1 dated 2015-01-31

Title: Finite Difference Method for Multi-Asset Option Valuation
Description: Efficient finite difference method for valuing European and American multi-asset options.
Author: Michael Eichenberger and Carlo Rosa
Maintainer: Michael Eichenberger <mike.eichenberger@gmail.com>

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Package callr updated to version 3.7.0 with previous version 3.6.0 dated 2021-03-28

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package BiodiversityR updated to version 2.13-1 with previous version 2.12-3 dated 2020-12-17

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

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Package TransPhylo updated to version 1.4.5 with previous version 1.4.4 dated 2020-06-08

Title: Inference of Transmission Tree from a Dated Phylogeny
Description: Inference of transmission tree from a dated phylogeny. Includes methods to simulate and analyse outbreaks. The methodology is described in Didelot et al. (2014) <doi:10.1093/molbev/msu121>, Didelot et al. (2017) <doi:10.1093/molbev/msw275>.
Author: Xavier Didelot [aut, cre] (<https://orcid.org/0000-0003-1885-500X>), Yuanwei Xu [ctb]
Maintainer: Xavier Didelot <xavier.didelot@gmail.com>

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Package sportyR updated to version 1.0.1 with previous version 1.0.0 dated 2021-04-19

Title: Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Description: Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying player tracking data.
Author: Ross Drucker [aut, cre]
Maintainer: Ross Drucker <ross.a.drucker@gmail.com>

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Package flexpolyline updated to version 0.2.2 with previous version 0.2.1 dated 2021-01-04

Title: Flexible Polyline Encoding
Description: Binding to the C++ implementation of the flexible polyline encoding by HERE <https://github.com/heremaps/flexible-polyline>. The flexible polyline encoding is a lossy compressed representation of a list of coordinate pairs or coordinate triples. The encoding is achieved by: (1) Reducing the decimal digits of each value; (2) encoding only the offset from the previous point; (3) using variable length for each coordinate delta; and (4) using 64 URL-safe characters to display the result.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), HERE Europe B.V. [aut, cph] (Flexible polyline encoding C++ implementation)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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New package EMpeaksR with initial version 0.1.0
Package: EMpeaksR
Title: Conducting the Peak Fitting Based on the EM Algorithm
Version: 0.1.0
Authors@R: person("Tarojiro", "Matsumura", role = c("aut", "cre"), email = "matsumura-tarojiro@aist.go.jp")
Description: The peak fitting of spectral data is performed by using the frame work of EM algorithm. We adapted the EM algorithm for the peak fitting of spectral data set by considering the weight of the intensity corresponding to the measurement energy steps (Matsumura, T., Nagamura, N., Akaho, S., Nagata, K., & Ando, Y. (2019) <doi:10.1080/14686996.2019.1620123>). The package efficiently estimates the parameters of Gaussian mixture model during iterative calculation between E-step and M-step, and the parameters are converged to a local optimal solution. This package can support the investigation of peak shift with two advantages: (1) a large amount of data can be processed at high speed; and (2) stable and automatic calculation can be easily performed.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-20 12:59:10 UTC; tarojiro.matsumura
Author: Tarojiro Matsumura [aut, cre]
Maintainer: Tarojiro Matsumura <matsumura-tarojiro@aist.go.jp>
Repository: CRAN
Date/Publication: 2021-04-20 13:50:05 UTC

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Package seagull updated to version 1.1.0 with previous version 1.0.6 dated 2020-03-25

Title: Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models
Description: Proximal gradient descent solver for the operators lasso, (fitted) group lasso, and (fitted) sparse-group lasso. The implementation involves backtracking line search and warm starts. Input data needs to be clustered/ grouped for each group lasso variant before calling these algorithms.
Author: Jan Klosa [aut, cre], Noah Simon [ths], Dörte Wittenburg [ths]
Maintainer: Jan Klosa <klosa@fbn-dummerstorf.de>

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Package R2BEAT updated to version 1.0.2-1 with previous version 1.0.2 dated 2021-01-11

Title: Multistage Sampling Allocation and PSU Selection
Description: Multivariate optimal allocation for different domains in one and two stages stratified sample design.R2BEAT extends the Neyman (1934) – Tschuprow (1923) allocation method to the case of several variables, adopting a generalization of the Bethel’s proposal (1989). R2BEAT develops this methodology but, moreover, it allows to determine the sample allocation in the multivariate and multi-domains case of estimates for two-stage stratified samples. It also allows to perform Primary Stage Units selection. This package requires the availability of ReGenesees, that can be installed from <https://github.com/DiegoZardetto/ReGenesees>.
Author: Andrea Fasulo,Giulio Barcaroli,Raffaella Cianchetta,Stefano Falorsi,Alessio Guandalini,Daniela Pagliuca,Marco Dionisio Terribili
Maintainer: Andrea Fasulo <fasulo@istat.it>

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Package qicharts updated to version 0.5.8 with previous version 0.5.5 dated 2017-08-28

Title: Quality Improvement Charts
Description: Functions for making run charts [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>] and basic Shewhart control charts [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>] for measure and count data. The main function, qic(), creates run and control charts and has a simple interface with a rich set of options to control data analysis and plotting, including options for automatic data aggregation by subgroups, easy analysis of before-and-after data, exclusion of one or more data points from analysis, and splitting charts into sequential time periods. Missing values and empty subgroups are handled gracefully.
Author: Jacob Anhoej [aut, cre], Timo Roeder [ctb]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

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Package maptiles updated to version 0.1.2 with previous version 0.1.1 dated 2020-11-20

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stamen', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Diego Hernangómez [ctb] (<https://orcid.org/0000-0001-8457-4658>), Robert J. Hijmans [ctb] (<https://orcid.org/0000-0001-5872-2872>)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package linbin updated to version 0.1.3 with previous version 0.1.2 dated 2017-03-14

Title: Binning and Plotting of Linearly Referenced Data
Description: Short for 'linear binning', the linbin package provides functions for manipulating, binning, and plotting linearly referenced data. Although developed for data collected on river networks, it can be used with any interval or point data referenced to a 1-dimensional coordinate system. Flexible bin generation and batch processing makes it easy to compute and visualize variables at multiple scales, useful for identifying patterns within and between variables and investigating the influence of scale of observation on data interpretation.
Author: Ethan Z. Welty [aut, cre], Christian E. Torgersen [ctb] (author support and guidance), Samuel J. Brenkman [ctb] (elwha and quinault datasets), Jeffrey J. Duda [ctb] (elwha dataset), Jonathan B. Armstrong [ctb] (fishmotion dataset)
Maintainer: Ethan Z. Welty <ethan.welty+linbin@gmail.com>

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Package ijtiff updated to version 2.2.6 with previous version 2.2.5 dated 2021-01-14

Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users. Currently the only such package with read and write support for TIFF files with floating point (real-numbered) pixels, and the only package that can correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.nih.gov/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Kent Johnson [aut], Simon Urbanek [ctb], Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>), Jeroen Ooms [rev, ctb] (<https://orcid.org/0000-0002-4035-0289>), Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package synoptReg updated to version 1.2.0 with previous version 1.1.0 dated 2020-11-20

Title: Synoptic Climate Classification and Spatial Regionalization of Environmental Data
Description: Set of functions to compute different types of synoptic classification methods and for analysing their effect on environmental variables. More information about the methods used in Lemus-Canovas et al. 2019 <DOI:10.1016/j.atmosres.2019.01.018>, Martin-Vide et al. 2008 <DOI:10.5194/asr-2-99-2008>, Jenkinson and Collison 1977.
Author: Marc Lemus-Canovas [aut, cre] (<https://orcid.org/0000-0002-0925-3827>), Dominic Roye [ctb] (<https://orcid.org/0000-0002-5516-6396>)
Maintainer: Marc Lemus-Canovas <mlemus@ub.edu>

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Package GE updated to version 0.1.8 with previous version 0.1.6 dated 2020-11-25

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see <https://www.nse.pku.edu.cn/> and LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to von Neumann, J. (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9) and Kemeny, J. G., O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

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Package dendsort updated to version 0.3.4 with previous version 0.3.3 dated 2015-12-14

Title: Modular Leaf Ordering Methods for Dendrogram Nodes
Description: An implementation of functions to optimize ordering of nodes in a dendrogram, without affecting the meaning of the dendrogram. A dendrogram can be sorted based on the average distance of subtrees, or based on the smallest distance value. These sorting methods improve readability and interpretability of tree structure, especially for tasks such as comparison of different distance measures or linkage types and identification of tight clusters and outliers. As a result, it also introduces more meaningful reordering for a coupled heatmap visualization. This method is described in "dendsort: modular leaf ordering methods for dendrogram representations in R", F1000Research 2014, 3: 177 <doi:10.12688/f1000research.4784.1>.
Author: Ryo Sakai [aut], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package wiesbaden updated to version 1.2.4 with previous version 1.2.3 dated 2020-06-18

Title: Access Databases from the Federal Statistical Office of Germany
Description: Retrieve and import data from different databases of the Federal Statistical Office of Germany (DESTATIS) using their SOAP XML web service <https://www-genesis.destatis.de/>.
Author: Moritz Marbach <moritz.marbach@tamu.edu> [aut, cre]
Maintainer: Moritz Marbach <moritz.marbach@tamu.edu>

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New package staRdom with initial version 1.1.21
Package: staRdom
Title: PARAFAC Analysis of EEMs from DOM
Version: 1.1.21
Date: 2021-04-17
Authors@R: c(person("Matthias", "Pucher", email = "matthias.pucher@wcl.ac.at", role = c("aut", "cre")), person("Daniel", "Graeber", email = "daniel.graeber@ufz.de", role = c("aut", "ctb")), person("Stefan", "Preiner", email = "stefan.preiner@boku.ac.at", role = c("ctb")), person("Renata", "Pinto", email = "renatamspinto@sapo.pt", role = c("ctb")))
Depends: R (>= 4.0), ggplot2 (>= 3.3.2), eemR (>= 1.0.1), parallel (>= 4.0)
Description: This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.
License: AGPL
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.0.5), tidyr (>= 1.1.2), stringr (>= 1.4.0), pracma (>= 2.3.3), zoo (>= 1.8-8), tibble (>= 3.1.0), multiway (>= 1.0-6), GGally (>= 2.0.0), graphics (>= 4.0), doParallel (>= 1.0.16), drc (>= 3.0-1), foreach (>= 1.5.1), data.table (>= 1.14.0), matrixStats (>= 0.57.0), MBA(>= 0.0-9), cdom(>= 0.1.0), R.matlab(>= 3.6.2), readr(>= 1.4.0), gtools(>= 3.8.2), httr(>= 1.4.2), askpass(>= 1.1)
Suggests: plotly, xlsx, knitr, kableExtra, rmarkdown
VignetteBuilder: knitr
URL: https://cran.r-project.org/package=staRdom
BugReports: https://github.com/MatthiasPucher/staRdom/issues
NeedsCompilation: no
Packaged: 2021-04-19 07:34:27 UTC; matthias
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@wcl.ac.at>
Repository: CRAN
Date/Publication: 2021-04-20 11:00:03 UTC

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Package LA updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-15

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 compendiumdb (with last version 1.0.3) was removed from CRAN

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

2015-10-12 1.0.3
2015-10-03 1.0.2
2015-06-15 1.0.1
2015-04-16 1.0.0
2014-08-29 0.1.0

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Package ggTimeSeries (with last version 1.0.1) was removed from CRAN

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

2018-09-03 1.0.1

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Package countyweather (with last version 0.1.0) was removed from CRAN

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

2016-10-25 0.1.0

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Package TreeTools updated to version 1.4.4 with previous version 1.4.3 dated 2021-04-12

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of node support; calculation of ancestor-descendant relationships; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <http://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Emmanuel Paradis [cph] (<https://orcid.org/0000-0003-3092-2199>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package tosca updated to version 0.3-1 with previous version 0.2-0 dated 2020-03-10

Title: Tools for Statistical Content Analysis
Description: A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided. Sample data for the vignette is included in the toscaData package, which is available on gitHub: <https://github.com/Docma-TU/toscaData>.
Author: Lars Koppers [aut, cre] (<https://orcid.org/0000-0002-1642-9616>), Jonas Rieger [aut] (<https://orcid.org/0000-0002-0007-4478>), Karin Boczek [ctb] (<https://orcid.org/0000-0003-1516-4094>), Gerret von Nordheim [ctb] (<https://orcid.org/0000-0001-7553-3838>)
Maintainer: Lars Koppers <koppers@statistik.tu-dortmund.de>

Diff between tosca versions 0.2-0 dated 2020-03-10 and 0.3-1 dated 2021-04-20

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 tosca-0.3-1/tosca/DESCRIPTION                                                      |   17 
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 tosca-0.3-1/tosca/NAMESPACE                                                        |  153 
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 tosca-0.3-1/tosca/R/LDAprep.R                                                      |  134 
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 tosca-0.3-1/tosca/R/as.meta.R                                                      |  110 
 tosca-0.3-1/tosca/R/as.textmeta.corpus.R                                           |  248 
 tosca-0.3-1/tosca/R/cleanTexts.R                                                   |  254 
 tosca-0.3-1/tosca/R/clusterTopics.R                                                |  112 
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 tosca-0.3-1/tosca/R/duplist.R                                                      |  384 
 tosca-0.3-1/tosca/R/filterCount.R                                                  |  130 
 tosca-0.3-1/tosca/R/filterDate.R                                                   |  146 
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 tosca-0.3-1/tosca/R/makeWordlist.R                                                 |  102 
 tosca-0.3-1/tosca/R/mergeLDA.R                                                     |   96 
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 tosca-0.3-1/tosca/R/readWhatsApp.R                                                 |  316 
 tosca-0.3-1/tosca/R/readWiki.R                                                     |  154 
 tosca-0.3-1/tosca/R/readWikinews.R                                                 |  150 
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 tosca-0.3-1/tosca/inst/CITATION                                                    |   36 
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 tosca-0.3-1/tosca/tests/testthat/test_as.textmeta.corpus.R                         |   42 
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 tosca-0.3-1/tosca/tests/testthat/test_intruderTopics.R                             |  110 
 tosca-0.3-1/tosca/tests/testthat/test_intruderWords.R                              |  110 
 tosca-0.3-1/tosca/tests/testthat/test_makeWordlist.R                               |   72 
 tosca-0.3-1/tosca/tests/testthat/test_mergeLDA.R                                   |   66 
 tosca-0.3-1/tosca/tests/testthat/test_mergeTextmeta.R                              |   42 
 tosca-0.3-1/tosca/tests/testthat/test_plotArea.R                                   |   59 
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 tosca-0.3-1/tosca/tests/testthat/test_plotScot.R                                   |   64 
 tosca-0.3-1/tosca/tests/testthat/test_plotTopic.R                                  |   84 
 tosca-0.3-1/tosca/tests/testthat/test_plotTopicWord.R                              |   98 
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 tosca-0.3-1/tosca/tests/testthat/test_plotWordpt.R                                 |   98 
 tosca-0.3-1/tosca/tests/testthat/test_precisionrecall.R                            |   70 
 tosca-0.3-1/tosca/tests/testthat/test_readTextmeta.R                               |   84 
 tosca-0.3-1/tosca/tests/testthat/test_readWhatsApp.R                               |   50 
 tosca-0.3-1/tosca/tests/testthat/test_readWiki.R                                   |   30 
 tosca-0.3-1/tosca/tests/testthat/test_readWikinews.R                               |   58 
 tosca-0.3-1/tosca/tests/testthat/test_removeXML.R                                  |  148 
 tosca-0.3-1/tosca/tests/testthat/test_sampling.R                                   |   50 
 tosca-0.3-1/tosca/tests/testthat/test_showMeta.R                                   |   26 
 tosca-0.3-1/tosca/tests/testthat/test_showTexts.R                                  |   34 
 tosca-0.3-1/tosca/tests/testthat/test_textmeta.R                                   |   68 
 tosca-0.3-1/tosca/tests/testthat/test_tidy.textmeta.R                              |   86 
 tosca-0.3-1/tosca/tests/testthat/test_topTexts.R                                   |   60 
 tosca-0.3-1/tosca/tests/testthat/test_topWords.R                                   |   44 
 tosca-0.3-1/tosca/tests/testthat/test_topicCoherence.R                             |   42 
 tosca-0.3-1/tosca/tests/testthat/test_topicsInText.R                               |   86 
 tosca-0.3-1/tosca/vignettes/Vignette.Rmd                                           | 1178 +-
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Package tidySEM updated to version 0.1.9 with previous version 0.1.8 dated 2021-03-13

Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan' or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize.
Author: Caspar J. van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>)
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>

Diff between tidySEM versions 0.1.8 dated 2021-03-13 and 0.1.9 dated 2021-04-20

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Package spatstat.local updated to version 4.1-1 with previous version 4.1-0 dated 2021-03-31

Title: Extension to 'spatstat' for Local Composite Likelihood
Description: Extension to the 'spatstat' package, enabling the user to fit point process models to point pattern data by local composite likelihood ('geographically weighted regression').
Author: Adrian Baddeley [aut, cre]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.local versions 4.1-0 dated 2021-03-31 and 4.1-1 dated 2021-04-20

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More information about spatstat.local at CRAN
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Package modelStudio updated to version 2.1.2 with previous version 2.1.1 dated 2021-01-07

Title: Interactive Studio for Explanatory Model Analysis
Description: Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive model explanations in the form of a serverless HTML site with only one line of code. This tool is model agnostic, therefore compatible with most of the black box predictive models and frameworks. The main function computes various (instance and dataset level) model explanations and produces a customisable dashboard, which consists of multiple panels for plots with their short descriptions. Easily save the dashboard and share it with others. Tools for Explanatory Model Analysis unite with tools for Exploratory Data Analysis to give a broad overview of the model behavior.
Author: Hubert Baniecki [aut, cre] (<https://orcid.org/0000-0001-6661-5364>), Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>), Piotr Piatyszek [ctb]
Maintainer: Hubert Baniecki <hbaniecki@gmail.com>

Diff between modelStudio versions 2.1.1 dated 2021-01-07 and 2.1.2 dated 2021-04-20

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Package mappoly updated to version 0.2.3 with previous version 0.2.1 dated 2020-11-23

Title: Genetic Linkage Maps in Autopolyploids
Description: Construction of genetic maps in autopolyploid full-sib populations. Uses pairwise recombination fraction estimation as the first source of information to sequentially position allelic variants in specific homologues. For situations where pairwise analysis has limited power, the algorithm relies on the multilocus likelihood obtained through a hidden Markov model (HMM). For more detail, please see Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
Author: Marcelo Mollinari [aut, cre] (<https://orcid.org/0000-0002-7001-8498>), Gabriel Gesteira [aut] (<https://orcid.org/0000-0002-4106-7346>), Guilhereme Pereira [ctb] (<https://orcid.org/0000-0002-7106-8630>), Augusto Garcia [ctb] (<https://orcid.org/0000-0003-0634-3277>), Zhao-Bang Zeng [ctb] (<https://orcid.org/0000-0002-3115-1149>), Katharine Preedy [ctb, cph] (MDS ordering algorithm), Robert Gentleman [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), Ross Ihaka [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), R Foundation [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), R-core [cph] (C code for MLE optimization in src/pairwise_estimation.cpp)
Maintainer: Marcelo Mollinari <mmollin@ncsu.edu>

Diff between mappoly versions 0.2.1 dated 2020-11-23 and 0.2.3 dated 2021-04-20

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Package IPLGP updated to version 1.1.0 with previous version 0.1.0 dated 2021-02-17

Title: Identification of Parental Lines via Genomic Prediction
Description: Combining genomic prediction with Monte Carlo simulation, three different strategies are implemented to select parental lines for multiple traits in plant breeding. The selection strategies include (i) GEBV-O considers only genomic estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O considers only genomic diversity (GD) of the candidate individuals; and (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait genomic best linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate GEBVs of the target traits, and then a selection index is adopted to evaluate the composite performance of an individual.
Author: Ping-Yuan Chung [cre], Chen-Tuo Liao [aut]
Maintainer: Ping-Yuan Chung <r06621204@ntu.edu.tw>

Diff between IPLGP versions 0.1.0 dated 2021-02-17 and 1.1.0 dated 2021-04-20

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Package esquisse updated to version 1.0.1 with previous version 1.0.0 dated 2021-04-12

Title: Explore and Visualize Your Data Interactively
Description: A 'shiny' gadget to create 'ggplot2' figures interactively with drag-and-drop to map your variables to different aesthetics. You can quickly visualize your data accordingly to their type, export in various formats, and retrieve the code to reproduce the plot.
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Ian Carroll [ctb] (Faceting support), Xiangnan Dang [ctb] (Facets rows and cols, X/Y limits)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between esquisse versions 1.0.0 dated 2021-04-12 and 1.0.1 dated 2021-04-20

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Package emojifont updated to version 0.5.5 with previous version 0.5.3 dated 2019-12-12

Title: Emoji and Font Awesome in Graphics
Description: An implementation of using emoji and fontawesome for using in both base and 'ggplot2' graphics.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), Claus Thorn Ekstrøm [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between emojifont versions 0.5.3 dated 2019-12-12 and 0.5.5 dated 2021-04-20

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Package diveMove updated to version 1.5.4 with previous version 1.5.3 dated 2021-02-26

Title: Dive Analysis and Calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Author: Sebastian P. Luque <spluque@gmail.com>
Maintainer: Sebastian P. Luque <spluque@gmail.com>

Diff between diveMove versions 1.5.3 dated 2021-02-26 and 1.5.4 dated 2021-04-20

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Package datamods updated to version 1.1.4 with previous version 1.1.3 dated 2021-04-13

Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Zauad Shahreer Abeer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between datamods versions 1.1.3 dated 2021-04-13 and 1.1.4 dated 2021-04-20

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Package circacompare updated to version 0.1.1 with previous version 0.1.0 dated 2021-02-08

Title: Analyses of Circadian Data
Description: Uses non-linear regression to statistically compare two circadian rhythms. Groups are only compared if both are rhythmic (amplitude is non-zero). Performs analyses regarding mesor, phase, and amplitude, reporting on estimates and statistical differences, for each, between groups. Details can be found in Parsons et al (2020) <doi:10.1093/bioinformatics/btz730>.
Author: Rex Parsons [aut, cre] (<https://orcid.org/0000-0002-6053-8174>)
Maintainer: Rex Parsons <Rex.Parsons94@gmail.com>

Diff between circacompare versions 0.1.0 dated 2021-02-08 and 0.1.1 dated 2021-04-20

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New package GFDsurv with initial version 0.0.2
Package: GFDsurv
Title: Tests for Survival Data in General Factorial Designs
Version: 0.0.2
Authors@R: c(person(given = "Marc", family = "Ditzhaus", role = c("aut")), person(given = "Dennis", family = "Dobler", role = "aut"), person(given = "Markus", family = "Pauly", role = "aut"), person(given = "Philipp", family = "Steinhauer", role = c("aut","cre"), email = "philipp.steinhauer@tu-dortmund.de"))
URL: https://github.com/PhilippSteinhauer/GFDsurv
Description: Implemented are three Wald-type statistic and respective permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Ditzhaus, Dobler and Pauly (2020) <doi:10.1177/0962280220980784> Ditzhaus, Janssen, Pauly (2020) <arXiv: 2004.10818v2> Dobler and Pauly (2019) <doi:10.1177/0962280219831316>.
License: GPL (>= 3)
Imports: gridExtra (>= 2.3), shiny (>= 1.5.0), shinyWidgets (>= 0.5.4), shinyjs (>= 2.0.0), shinythemes (>= 1.1.2), survival (>= 3.2-7), survminer (>= 0.4.8), tippy (>= 0.1.0), magic (>= 1.5-9), MASS (>= 7.3-53), plyr (>= 1.8.6), stats
Encoding: UTF-8
Suggests: condSURV
NeedsCompilation: no
Packaged: 2021-04-19 18:51:07 UTC; stein
Author: Marc Ditzhaus [aut], Dennis Dobler [aut], Markus Pauly [aut], Philipp Steinhauer [aut, cre]
Maintainer: Philipp Steinhauer <philipp.steinhauer@tu-dortmund.de>
Repository: CRAN
Date/Publication: 2021-04-20 08:20:02 UTC

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New package visa with initial version 0.1.0
Package: visa
Title: Vegetation Imaging Spectroscopy Analyzer
Version: 0.1.0
Authors@R: person("Kang", "Yu", email = "kang.yu@outlook.com", role = c("aut", "cre"))
Description: Provides easy-to-use tools for data analysis and visualization for hyperspectral remote sensing (also known as imaging spectroscopy), with a particular focus on vegetation hyperspectral data analysis. It consists of a set of functions, ranging from the organization of hyperspectral data in the proper data structure for spectral feature selection, calculation of vegetation index, multivariate analysis, as well as to the visualization of spectra and results of analysis in the 'ggplot2' style.
License: GPL-3
LazyData: true
Encoding: UTF-8
URL: https://github.com/kang-yu/visa
BugReports: https://github.com/kang-yu/visa/issues
Depends: R (>= 3.1.0)
Imports: ggplot2, ggpmisc, methods, Matrix, reshape2, RColorBrewer
Suggests: devtools, testthat, flux, knitr, rmarkdown, stringi
VignetteBuilder: knitr
Collate: 'visa.R' 'Spectra-class.R' 'cm.nsr.R' 'cm.sr.R' 'data-specdb.R' 'data-specdf.R' 'ggplot-method.R' 'ggplot.lmfit.R' 'ggspectra.R' 'ndvi2.R' 'spectra.R' 'sr.R' 'wavelength.R'
NeedsCompilation: no
Packaged: 2021-04-19 10:48:33 UTC; Kang Yu
Author: Kang Yu [aut, cre]
Maintainer: Kang Yu <kang.yu@outlook.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:20:02 UTC

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New package siconfir with initial version 1.0.5
Package: siconfir
Title: Quick and Easy Access Tax and Accounting Data of Brazil
Version: 1.0.5
Authors@R: c(person(given="Pedro", family="Castro", email = "pdesacastro@gmail.com", role = c("aut", "cre")))
Description: Access tax and accounting data of Brazilian states and municipalities provided by the Brazilian Public Sector Accounting and Tax Information System.
License: MIT + file LICENSE
URL: https://github.com/pedrocastroo/siconfir
BugReports: https://github.com/pedrocastroo/siconfir/issues
Encoding: UTF-8
LazyData: true
Language: en-US
Imports: httr, tidyr, tibble, dplyr, magrittr, purrr, utils
Depends: R (>= 3.2)
NeedsCompilation: no
Packaged: 2021-04-19 11:30:44 UTC; pedro
Author: Pedro Castro [aut, cre]
Maintainer: Pedro Castro <pdesacastro@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:20:06 UTC

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New package moodleR with initial version 0.3.2
Package: moodleR
Title: Helper Functions to Work with 'Moodle' Data
Version: 0.3.2
Authors@R: c(person(given = "Aleksander", family = "Dietrichson", role = c("aut", "cre"), email = "dietrichson@gmail.com"), person(given = "Chi Square Laboratories", role = "cph"), person(given = "Darko", family = "Miletic", role = "ctb"), person(given = "Pablo", family = "Pagnone", role = "ctb"))
Maintainer: Aleksander Dietrichson <dietrichson@gmail.com>
Description: A collection of functions to connect to a 'Moodle' database, cache relevant tables locally and generate learning analytics. 'Moodle' is an open source Learning Management System (LMS) developed by MoodleHQ. For more information about Moodle, visit <https://moodle.org>.
License: MIT + file LICENSE
URL: https://github.com/chi2labs/moodleR, https://chi2labs.github.io/moodleR/
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, prettyunits, lubridate, testthat
Imports: DBI, dplyr, ggplot2, tidytext, ggwordcloud, utils, stringr, rlang, scales, RMariaDB, glue, config, anytime, here, cli, lifecycle, RSQLite
RdMacros: lifecycle
NeedsCompilation: no
Packaged: 2021-04-19 23:02:00 UTC; sasha
Author: Aleksander Dietrichson [aut, cre], Chi Square Laboratories [cph], Darko Miletic [ctb], Pablo Pagnone [ctb]
Repository: CRAN
Date/Publication: 2021-04-20 07:50:02 UTC

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New package mobirep with initial version 0.2.2
Package: mobirep
Title: Models Bivariate Dependence and Produces Bivariate Return Periods
Version: 0.2.2
Authors@R: person(given = "Alois", family = "Tilloy", role = c("aut", "cre"), email = "alois.tilloy@kcl.ac.uk", comment = c(ORCID = "https://orcid.org/0000-0002-5881-0642"))
Description: Models the dependence between two variables in the extremes, select most relevant models, estimate bivariate return periods and create bivariate level curves. Methods used in the package are described in the following reference: Tilloy, Malamud, Winter and Joly-Laugel (2020) <doi:10.5194/nhess-20-2091-2020> Supporting references for the conditional extremes model, Jt-KDE model and for copula modelling are the following: Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x> Cooley, Thibaud, Castillo and Wehner (2019) <doi:10.1007/s10687-019-00348-0> Nelsen (2006) <doi:10.1007/0-387-28678-0>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: True
Depends: R (>= 3.5.0), texmex
Imports: stats, copBasic, grDevices, ks, lattice, SpatialExtremes, zoo, copula, ggplot2, viridis,
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-19 15:05:40 UTC; Alois
Author: Alois Tilloy [aut, cre] (<https://orcid.org/0000-0002-5881-0642>)
Maintainer: Alois Tilloy <alois.tilloy@kcl.ac.uk>
Repository: CRAN
Date/Publication: 2021-04-20 07:40:02 UTC

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New package HDBRR with initial version 0.1.8
Package: HDBRR
Title: High Dimensional Bayesian Ridge Regression without MCMC
Version: 0.1.8
Authors@R: c(person("Sergio Perez-Elizalde", "Developer", role = "aut"), person("Blanca Monroy-Castillo", "Developer", role = c("aut","cre"), email = "blancamonroy.96@gmail.com"), person("Paulino Perez-Rodriguez", "User", role = "ctb"))
Description: The svd(singular value decomposition) or qr decomposition was using for the implementation, this avoid the recursion optimizing the time in the compute <https://drive.google.com/drive/folders/1xJw7gM5_XiJipQ3grTZkfc6q4K0hzuCx?usp=sharing>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: numDeriv, parallel, bigstatsr, MASS
NeedsCompilation: no
Packaged: 2021-04-19 22:01:33 UTC; monroy
Author: Sergio Perez-Elizalde Developer [aut], Blanca Monroy-Castillo Developer [aut, cre], Paulino Perez-Rodriguez User [ctb]
Maintainer: Blanca Monroy-Castillo Developer <blancamonroy.96@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:50:05 UTC

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New package convdistr with initial version 1.5.3
Package: convdistr
Title: Convolute Probabilistic Distributions
Version: 1.5.3
Authors@R: person( "Aponte", "John", email = "john.j.aponte@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0002-3014-3673"))
Date: 2021-04-19
URL: https://github.com/johnaponte/convdistr
Description: Convolute probabilistic distributions using the random generator function of each distribution. A new random number generator function is created that perform the mathematical operation on the individual random samples from the random generator function of each distribution. See the documentation for examples.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: spelling, testthat, knitr, rmarkdown
Imports: stats, graphics, pryr, extraDistr, dplyr, tidyr, ggplot2, RColorBrewer, SHELF, MASS, shiny
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-04-19 12:55:46 UTC; apontej
Author: Aponte John [aut, cre] (<https://orcid.org/0000-0002-3014-3673>)
Maintainer: Aponte John <john.j.aponte@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:30:02 UTC

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New package bumbl with initial version 1.0.0
Package: bumbl
Title: Tools for Modeling Bumblebee Colony Growth and Decline
Version: 1.0.0
Authors@R: c( person(given = c("Eric", "R."), family = "Scott", role = c("aut", "cre"), email = "scottericr@gmail.com", comment = c(ORCID = "0000-0002-7430-7879")), person(given = c("Elizabeth", "E."), family = "Crone", role = c("aut"), email = "elizabeth.crone@tufts.edu", comment = c(ORCID = "0000-0002-5287-221X")) )
Description: Bumblebee colonies grow during worker production, then decline after switching to production of reproductive individuals (drones and gynes). This package provides tools for modeling and visualizing this pattern by identifying a switchpoint with a growth rate before and a decline rate after the switchpoint. The mathematical models fit by bumbl are described in Crone and Williams (2016) <doi:10.1111/ele.12581>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/Aariq/bumbl
BugReports: https://github.com/Aariq/bumbl/issues
Depends: R (>= 3.0)
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, car, rsq
Imports: dplyr, rlang, tidyr (>= 1.0.0), purrr, broom, glue, MASS, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-19 13:24:55 UTC; scottericr
Author: Eric R. Scott [aut, cre] (<https://orcid.org/0000-0002-7430-7879>), Elizabeth E. Crone [aut] (<https://orcid.org/0000-0002-5287-221X>)
Maintainer: Eric R. Scott <scottericr@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:30:05 UTC

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Package mcprofile updated to version 1.0-1 with previous version 1.0-0 dated 2020-06-04

Title: Testing Generalized Linear Hypotheses for Generalized Linear Model Parameters by Profile Deviance
Description: Calculation of signed root deviance profiles for linear combinations of parameters in a generalized linear model. Multiple tests and simultaneous confidence intervals are provided.
Author: Daniel Gerhard [aut, cre]
Maintainer: Daniel Gerhard <00gerhard@gmail.com>

Diff between mcprofile versions 1.0-0 dated 2020-06-04 and 1.0-1 dated 2021-04-20

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Package longpower updated to version 1.0.23 with previous version 1.0-21 dated 2020-04-21

Title: Sample Size Calculations for Longitudinal Data
Description: Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. Relevant formulas are derived by Liu and Liang (1997) <DOI:10.2307/2533554>, Diggle et al (2002) <ISBN:9780199676750>, and Lu, Luo, and Chen (2008) <DOI:10.2202/1557-4679.1098>.
Author: Michael C. Donohue [aut, cre], Steve D. Edland [ctb]
Maintainer: Michael C. Donohue <mdonohue@usc.edu>

Diff between longpower versions 1.0-21 dated 2020-04-21 and 1.0.23 dated 2021-04-20

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Package quantdr updated to version 1.2.0 with previous version 1.1.0 dated 2020-12-15

Title: Dimension Reduction Techniques for Conditional Quantiles
Description: An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
Author: Eliana Christou [aut, cre] (<https://orcid.org/0000-0001-5044-0969>)
Maintainer: Eliana Christou <echris15@uncc.edu>

Diff between quantdr versions 1.1.0 dated 2020-12-15 and 1.2.0 dated 2021-04-20

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Package languageserver updated to version 0.3.10 with previous version 0.3.9 dated 2020-12-18

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol/> for details.
Author: Randy Lai [aut, cre], Kun Ren [ctb]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between languageserver versions 0.3.9 dated 2020-12-18 and 0.3.10 dated 2021-04-20

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