Tue, 26 Mar 2019

Package AGHmatrix updated to version 0.0.5 with previous version 0.0.4 dated 2018-06-06

Title: Relationship Matrices for Diploid and Autopolyploid Species
Description: Computation of A (pedigree), G (genomic-base), and H (A corrected by G) relationship matrices for diploid and autopolyploid species. Several methods are implemented considering additive and non-additive models.
Author: Rodrigo Amadeu [aut, cre], Catherine Cellon [ctb], Leticia Lara [ctb], Marcio Resende [ctb], Ivone Oliveira [ctb], Luis Ferrao [ctb], Patricio Munoz [ctb], Augusto Garcia [ctb]
Maintainer: Rodrigo Amadeu <rramadeu@ufl.edu>

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New package SemNetDictionaries with initial version 0.1.1
Package: SemNetDictionaries
Title: Dictionaries for the 'SemNetCleaner' Package
Version: 0.1.1
Date: 2019-03-26
Author: Alexander P. Christensen
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>
Description: Implements dictionaries that can be used in the 'SemNetCleaner' package. Also includes several functions aimed at facilitating the text cleaning analysis in the 'SemNetCleaner' package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the 'SemNetDictionaries' package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.
Depends: R (>= 3.3.0)
License: GPL (>= 3.0)
URL: https://github.com/AlexChristensen/SemNetDictionaries
BugReports: https://github.com/AlexChristensen/SemNetDictionaries/issues
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Imports: tcltk
RoxygenNote: 6.1.1
Packaged: 2019-03-26 17:00:14 UTC; APCHRIST
Repository: CRAN
Date/Publication: 2019-03-26 17:23:21 UTC

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Package Rpolyhedra updated to version 0.4.2 with previous version 0.4.1 dated 2019-02-20

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph], Barret Schloerke [rev], Lijia Yu [rev]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

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Package forestChange updated to version 0.5 with previous version 0.4 dated 2019-02-19

Title: Computing Essential Biodiversity Variables from Global Forest Change Data
Description: Metrics of two Essential Biodiversity Variables: forest extents and forest fragmentation indices (O'connor et al., 2015) <doi:10.1002/rse2.4> are computed by processing Global Forest Change data (Hansen et al., 2013) <doi:10.1126/science.1244693>. The Forest Change Data are extracted using either Geographic Administrative Units, see <https://gadm.org/>, or user-defined polygons. Most of the procedures can be understood implementing two functions: FCPolygon() and EBVmetric().
Author: Wilson Lara <wilarhen@temple.edu>, Victor Gutierrez-Velez <victorhugo@temple.edu>
Maintainer: Wilson Lara <wilarhen@temple.edu>

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Package ecotox updated to version 1.4.0 with previous version 1.3.3 dated 2018-10-29

Title: Analysis of Ecotoxicology
Description: A simple approach to using a probit or logit analysis to calculate lethal concentration (LC) or time (LT) and the appropriate fiducial confidence limits desired for selected LC or LT for ecotoxicology studies (Finney 1971; Wheeler et al. 2006; Robertson et al. 2007). The simplicity of 'ecotox' comes from the syntax it implies within its functions which are similar to functions like glm() and lm(). In addition to the simplicity of the syntax, a comprehensive data frame is produced which gives the user a predicted LC or LT value for the desired level and a suite of important parameters such as fiducial confidence limits and slope. Finney, D.J. (1971, ISBN: 052108041X); Wheeler, M.W., Park, R.M., and Bailer, A.J. (2006) <doi:10.1897/05-320R.1>; Robertson, J.L., Savin, N.E., Russell, R.M., and Preisler, H.K. (2007, ISBN: 0849323312).
Author: Benjamin L Hlina [aut, cre]
Maintainer: Benjamin L Hlina <benjamin.hlina@gmail.com>

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Package blockcluster updated to version 4.4.3 with previous version 4.3.2 dated 2018-10-05

Title: Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets
Description: Simultaneous clustering of rows and columns, usually designated by biclustering, co-clustering or block clustering, is an important technique in two way data analysis. It consists of estimating a mixture model which takes into account the block clustering problem on both the individual and variables sets. The 'blockcluster' package provides a bridge between the C++ core library build on top of the 'STK++' library, and the R statistical computing environment. This package allows to co-cluster binary <doi:10.1016/j.csda.2007.09.007>, contingency <doi:10.1080/03610920903140197>, continuous <doi:10.1007/s11634-013-0161-3> and categorical data-sets <doi:10.1007/s11222-014-9472-2>. It also provides utility functions to visualize the results. This package may be useful for various applications in fields of Data mining, Information retrieval, Biology, computer vision and many more. More information about the project and comprehensive tutorial can be found on the link mentioned in URL.
Author: Serge Iovleff [aut, cre], Parmeet Singh Bhatia [aut], Josselin Demont [ctb], Vincent Brault [ctb], Vincent Kubicki [ctb], Gerard Goavert [ctb], Christophe Biernacki [ctb], Gilles Celeux [ctb]
Maintainer: Serge Iovleff <Serge.Iovleff@stkpp.org>

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Package SHELF updated to version 1.5.0 with previous version 1.4.0 dated 2018-08-16

Title: Tools to Support the Sheffield Elicitation Framework
Description: Implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions, eliciting multivariate distributions using a Gaussian copula, eliciting a Dirichlet distribution, and eliciting distributions for variance parameters in a random effects meta-analysis model. R Shiny apps for most of the methods are included.
Author: Jeremy Oakley
Maintainer: Jeremy Oakley <j.oakley@sheffield.ac.uk>

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Package rangeMapper updated to version 0.3-5 with previous version 0.3-4 dated 2018-06-30

Title: A Platform for the Study of Macro-Ecology of Life History Traits
Description: Tools for easy generation of (life-history) traits maps based on species range (extent-of-occurrence) maps.
Author: Mihai Valcu [aut, cre], James Dale [aut], Joan Maspons [ctb]
Maintainer: Mihai Valcu <valcu@orn.mpg.de>

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Package ecoval updated to version 1.2.3 with previous version 1.2.2 dated 2019-03-18

Title: Procedures for Ecological Assessment of Surface Waters
Description: Functions for evaluating and visualizing ecological assessment procedures for surface waters containing physical, chemical and biological assessments in the form of value functions.
Author: Nele Schuwirth <nele.schuwirth@eawag.ch> and Peter Reichert <peter.reichert@eawag.ch> with contributions by Simone Langhans and Christian Michel
Maintainer: Nele Schuwirth <nele.schuwirth@eawag.ch>

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Package visNetwork updated to version 2.0.6 with previous version 2.0.5 dated 2018-12-05

Title: Network Visualization using 'vis.js' Library
Description: Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.
Author: Almende B.V. [aut, cph] (vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home), Benoit Thieurmel [aut, cre] (R interface), Titouan Robert [aut, ctb]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

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Package netgwas updated to version 1.9 with previous version 1.8.1 dated 2019-02-16

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on undirected graphical models for accomplishing three important and interrelated goals in genetics: (1) linkage map construction, (2) reconstructing intra- and inter-chromosomal conditional interactions (linkage disequilibrium) networks, and (3) exploring high-dimensional genotype-phenotype network and genotype-phenotype-environment interactions network. We use conditional independence relationships between variables. The netgwas package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The package is implemented the recent developments in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287> and Behrouzi and Wit (2017) <arXiv:1710.01063>. NOTICE proper functionality of 'netgwas' requires that the 'RBGL' package is installed from 'bioconductor'; for installation instruction please refer to the 'RBGL' web page given below.
Author: Pariya Behrouzi <https://orcid.org/0000-0001-6762-5433> and Ernst C. Wit
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

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New package geneHummus with initial version 1.0.1
Package: geneHummus
Title: A Pipeline to Define Gene Families in Legumes and Beyond
Version: 1.0.1
Authors@R: c( person("Jose V.", "Die", email = "jose.die@uco.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7506-8590")), person("Moamen M.", "Elmassry", email = "moamen.elmassry@ttu.edu", role = c("aut")), person("Kimberly H.", "LeBlanc", email = "kimberly.leblanc@nih.gov", role = c("aut")), person("Olaitan I.", "Awe", email = "laitanawe@gmail.com", role = c("aut")), person("Allissa","Dillman", email = "Allissa.Dillman@nih.gov", role = c("aut")), person("Ben", "Busby", email = "Ben.Busby@nih.gov", role = c("aut")))
Description: A pipeline with high specificity and sensitivity in extracting proteins from the RefSeq database (National Center for Biotechnology Information). Manual identification of gene families is highly time-consuming and laborious, requiring an iterative process of manual and computational analysis to identify members of a given family. The pipelines implements an automatic approach for the identification of gene families based on the conserved domains that specifically define that family. See Die et al. (2017) <doi:10.1101/436659> for more information and examples.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rentrez (>= 1.2.1), stringr (>= 1.4.0), dplyr (>= 0.8.0.1), httr (>= 1.4.0), utils, curl (>= 3.3)
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
URL: https://github.com/NCBI-Hackathons/GeneHummus
BugReports: https://github.com/NCBI-Hackathons/GeneHummus/issues
NeedsCompilation: no
Packaged: 2019-03-26 13:22:47 UTC; josedie
Author: Jose V. Die [aut, cre] (<https://orcid.org/0000-0002-7506-8590>), Moamen M. Elmassry [aut], Kimberly H. LeBlanc [aut], Olaitan I. Awe [aut], Allissa Dillman [aut], Ben Busby [aut]
Maintainer: Jose V. Die <jose.die@uco.es>
Repository: CRAN
Date/Publication: 2019-03-26 15:20:03 UTC

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Package DVHmetrics updated to version 0.3.8 with previous version 0.3.7 dated 2017-11-22

Title: Analyze Dose-Volume Histograms and Check Constraints
Description: Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut], Heinz Schmidberger [ctb]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

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Package cgmanalysis updated to version 2.3 with previous version 2.2 dated 2019-02-11

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom' (<https://www.dexcom.com>), 'iPro 2' (<http://professional.medtronicdiabetes.com/ipro2-professional-cgm>), Diasend (<https://diasend.com//us>), Libre (<https://www.freestylelibre.us/>) or Carelink (<https://www.medtronicdiabetes.com/products/carelink-personal-diabetes-software>) data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload ("--1" is added to each subject ID automatically for double data entry). cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <tim.b.vigers@gmail.com>

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Package scorecard updated to version 0.2.4 with previous version 0.2.3 dated 2019-02-10

Title: Credit Risk Scorecard
Description: The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

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Package namer updated to version 0.1.4 with previous version 0.1.3 dated 2018-10-30

Title: Names Your 'R Markdown' Chunks
Description: It names the 'R Markdown' chunks of files based on the filename.
Author: Steph Locke [aut, cre], Maëlle Salmon [aut] (<https://orcid.org/0000-0002-2815-0399>), Ellis Valentiner [ctb], Martin Hadley [ctb] (<https://orcid.org/0000-0002-3039-6849>), Locke Data [fnd] (https://itsalocke.com)
Maintainer: Steph Locke <steph@itsalocke.com>

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Package vein updated to version 0.7.0 with previous version 0.6.0 dated 2019-01-12

Title: Vehicular Emissions Inventories
Description: Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the function inventory to create a structure of directories and template scripts.
Author: Sergio Ibarra-Espinosa [aut, cre] (<https://orcid.org/0000-0002-3162-1905>), Daniel Schuch [ctb] (<https://orcid.org/0000-0001-5977-4519>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>

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Package spatialsegregation updated to version 2.45 with previous version 2.44 dated 2017-04-18

Title: Segregation Measures for Multitype Spatial Point Patterns
Description: Summaries for measuring segregation/mingling in multitype spatial point patterns with graph based neighbourhood description. Included indices: Mingling, Shannon, Simpson (also the non-spatial) Included functionals: Mingling, Shannon, Simpson, ISAR, MCI. Included neighbourhoods: Geometric, k- nearest neighbours, Gabriel, Delaunay. Dixon's test.
Author: Tuomas Rajala
Maintainer: Tuomas Rajala <tuomas.rajala@iki.fi>

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Package finalfit updated to version 0.9.1 with previous version 0.9.0 dated 2019-02-15

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

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Package theiaR updated to version 0.2.0 with previous version 0.1.0 dated 2019-02-27

Title: Download and Manage Data from Theia
Description: Provides a simple interface to search available data provided by Theia (<https://theia.cnes.fr>), download it, and manage it. Data can be downloaded based on a search result or from a cart file downloaded from Theia website.
Author: Xavier Laviron [aut, cre] (<https://orcid.org/0000-0002-9882-3253>)
Maintainer: Xavier Laviron <xavier.laviron@gmx.fr>

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Package hdf5r updated to version 1.1.1 with previous version 1.0.1 dated 2018-10-07

Title: Interface to the 'HDF5' Binary Data Format
Description: 'HDF5' is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the 'HDF5' API <https://support.hdfgroup.org/HDF5/doc/RM/RM_H5Front.html> using R6 classes. Additionally, functionality is added so that 'HDF5' objects behave very similar to their corresponding R counterparts.
Author: Holger Hoefling [aut, cre], Mario Annau [aut], Novartis Institute for BioMedical Research (NIBR) [cph]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package cquad updated to version 2.0 with previous version 1.4 dated 2017-06-06

Title: Conditional Maximum Likelihood for Quadratic Exponential Models for Binary Panel Data
Description: Estimation, based on conditional maximum likelihood, of the quadratic exponential model proposed by Bartolucci, F. & Nigro, V. (2010, Econometrica) <DOI:10.3982/ECTA7531> and of a simplified and a modified version of this model. The quadratic exponential model is suitable for the analysis of binary longitudinal data when state dependence (further to the effect of the covariates and a time-fixed individual intercept) has to be taken into account. Therefore, this is an alternative to the dynamic logit model having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts and then getting consistent estimates of the parameters of main interest (for the covariates and the lagged response). The simplified version of this model does not distinguish, as the original model does, between the last time occasion and the previous occasions. The modified version formulates in a different way the interaction terms and it may be used to test in a easy way state dependence as shown in Bartolucci, F., Nigro, V. & Pigini, C. (2018, Econometric Reviews) <DOI:10.1080/07474938.2015.1060039>. The package also includes estimation of the dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci, F. & Nigro, V. (2012, Journal of Econometrics) <DOI:10.1016/j.jeconom.2012.03.004>. For large time dimensions of the panel, the computation of the proposed models involves a recursive function adapted from Krailo M. D., & Pike M. C. (1984, Journal of the Royal Statistical Society. Series C (Applied Statistics)).
Author: Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Ancona "Politecnica delle Marche"), Francesco Valentini (University of Ancona "Politecnica delle Marche")
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

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Package ksNN updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-24

Title: K* Nearest Neighbors Algorithm
Description: Prediction with k* nearest neighbor algorithm based on a publication by Anava and Levy (2016) <arXiv:1701.07266>.
Author: Kei Nakagawa [aut, cre] (<https://orcid.org/0000-0001-5046-8128>), Shingo Sashida [aut]
Maintainer: Kei Nakagawa <kei.nak.0315@gmail.com>

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Package caret updated to version 6.0-82 with previous version 6.0-81 dated 2018-11-20

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models.
Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, Can Candan, and Tyler Hunt.
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package RVAideMemoire updated to version 0.9-73 with previous version 0.9-72 dated 2019-02-11

Title: Testing and Plotting Procedures for Biostatistics
Description: Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.
Author: Maxime Hervé
Maintainer: Maxime Hervé <maxime.herve@univ-rennes1.fr>

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Package childsds updated to version 0.7.4 with previous version 0.7.3 dated 2019-03-12

Title: Data and Methods Around Reference Values in Pediatrics
Description: Calculation of standard deviation scores and percentiles adduced from different growth standards (WHO, UK, Germany, Italy, China, etc). Therefore, the calculation of SDS-values for different measures like BMI, weight, height, head circumference, different ratios, etc. are easy to carry out. Also, references for laboratory values in children and adults are available, e.g., serum lipids, iron-related blood parameters, IGF, liver enzymes. In the new version, there are also functions combining the lms() function from package 'gamlss' with resampling methods for using with repeated measurements and family dependencies. A searchable list of items can be found here: <https://github.com/mvogel78/childsds/wiki>.
Author: Mandy Vogel [aut, cre]
Maintainer: Mandy Vogel <mandy.vogel@googlemail.com>

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Package BIOMASS updated to version 2.1 with previous version 2.0 dated 2019-01-14

Title: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
Description: Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) manage tree and plot coordinates, (5) estimate the aboveground biomass/carbon at the stand level with associated uncertainty. To cite BIOMASS, please use citation("BIOMASS"). See more in the article of Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.
Author: Maxime Réjou-Méchain [aut, cre, dtc], Ariane Tanguy [aut], Camille Piponiot [aut], Jerome Chave [dtc], Bruno Herault [aut], Arthur Pere [aut], Guillaume Cornu [aut] (<https://orcid.org/0000-0002-7523-5176>), Ted Feldpausch [dtc]
Maintainer: Maxime Réjou-Méchain <maxime.rejou@gmail.com>

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Package iMediate updated to version 0.5.5 with previous version 0.5 dated 2018-08-31

Title: Likelihood Methods for Mediation Analysis
Description: Implements likelihood based methods for mediation analysis.
Author: Dr. Kai Wang
Maintainer: Kai Wang <kai-wang@uiowa.edu>

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Package netdiffuseR updated to version 1.20.2 with previous version 1.20.0 dated 2018-06-07

Title: Analysis of Diffusion and Contagion Processes on Networks
Description: Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Author: George Vega Yon [aut, cre] (<https://orcid.org/0000-0002-3171-0844>, Rewrite functions with Rcpp, plus new features), Thomas Valente [aut, cph] (<https://orcid.org/0000-0002-8824-5816>, R original code), Stephanie Dyal [ctb] (Package's first version), Timothy Hayes [ctb] (Package's first version)
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package lfe updated to version 2.8-2.1 with previous version 2.8-2 dated 2018-08-22

Title: Linear Group Fixed Effects
Description: Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction.
Author: Simen Gaure [aut, cre]
Maintainer: Simen Gaure <Simen.Gaure@frisch.uio.no>

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Package clusternor (with last version 0.0-2) was removed from CRAN

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

2019-03-25 0.0-2
2019-03-18 0.0-1

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Package tcie (with last version 0.1) was removed from CRAN

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

2019-03-18 0.1

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Package SentimentAnalysis updated to version 1.3-3 with previous version 1.3-2 dated 2018-04-09

Title: Dictionary-Based Sentiment Analysis
Description: Performs a sentiment analysis of textual contents in R. This implementation utilizes various existing dictionaries, such as Harvard IV, or finance-specific dictionaries. Furthermore, it can also create customized dictionaries. The latter uses LASSO regularization as a statistical approach to select relevant terms based on an exogenous response variable.
Author: Stefan Feuerriegel [aut, cre], Nicolas Proellochs [aut]
Maintainer: Stefan Feuerriegel <sentiment@sfeuerriegel.com>

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Package languageserver updated to version 0.2.8 with previous version 0.2.7 dated 2019-03-07

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
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package estmeansd updated to version 0.2.0 with previous version 0.1.1 dated 2019-02-04

Title: Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis
Description: Implements the methods of McGrath et al. (2019) <arXiv:1903.10498> for estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis. These methods can be applied to studies that report the sample median, sample size, and one or both of (i) the sample minimum and maximum values and (ii) the first and third quartiles.
Author: Sean McGrath [aut, cre] (<https://orcid.org/0000-0002-7281-3516>), XiaoFei Zhao [aut], Russell Steele [aut], Andrea Benedetti [aut] (<https://orcid.org/0000-0002-8314-9497>)
Maintainer: Sean McGrath <sean.mcgrath@mail.mcgill.ca>

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