Thu, 26 Jul 2018

Package NeuralNetTools updated to version 1.5.2 with previous version 1.5.1 dated 2018-02-05

Title: Visualization and Analysis Tools for Neural Networks
Description: Visualization and analysis tools to aid in the interpretation of neural network models. Functions are available for plotting, quantifying variable importance, conducting a sensitivity analysis, and obtaining a simple list of model weights.
Author: Marcus W. Beck [aut, cre]
Maintainer: Marcus W. Beck <marcusb@sccwrp.org>

Diff between NeuralNetTools versions 1.5.1 dated 2018-02-05 and 1.5.2 dated 2018-07-26

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Package INLABMA updated to version 0.1-11 with previous version 0.1-8 dated 2017-02-04

Title: Bayesian Model Averaging with INLA
Description: Fit Spatial Econometrics models using Bayesian model averaging on models fitted with INLA. The INLA package can be obtained from <http://www.r-inla.org>.
Author: Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>, Roger Bivand <Roger.Bivand@nhh.no>
Maintainer: Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>

Diff between INLABMA versions 0.1-8 dated 2017-02-04 and 0.1-11 dated 2018-07-26

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Package projmanr updated to version 0.2.1 with previous version 0.1.1 dated 2018-03-07

Title: Project Management Tools
Description: Calculates the critical path for a series of tasks, creates Gantt charts and generates network diagrams in order to provide similar functionality to the basic tools offered by 'MS Project'.
Author: Ben Greenawald [aut, cre, cph], Yael Grushka-Cockayne [aut, cph]
Maintainer: Ben Greenawald <bgreenawald@gmail.com>

Diff between projmanr versions 0.1.1 dated 2018-03-07 and 0.2.1 dated 2018-07-26

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Package lspls updated to version 0.2-2 with previous version 0.2-1 dated 2011-10-20

Title: LS-PLS Models
Description: Implements the LS-PLS (least squares - partial least squares) method described in for instance Jørgensen, K., Segtnan, V. H., Thyholt, K., Næs, T. (2004) "A Comparison of Methods for Analysing Regression Models with Both Spectral and Designed Variables" Journal of Chemometrics, 18(10), 451--464, <doi:10.1002/cem.890>.
Author: Bjørn-Helge Mevik [aut, cre]
Maintainer: Bjørn-Helge Mevik <b-h@mevik.net>

Diff between lspls versions 0.2-1 dated 2011-10-20 and 0.2-2 dated 2018-07-26

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New package CEC with initial version 0.10.2
Package: CEC
Title: Cross-Entropy Clustering
Version: 0.10.2
Date: 2018-07-26
Author: Konrad Kamieniecki [aut, cre], Przemyslaw Spurek [ctb]
Maintainer: Konrad Kamieniecki <konrad.kamieniecki@alumni.uj.edu.pl>
Description: CEC divides data into Gaussian type clusters. The implementation allows the simultaneous use of various type Gaussian mixture models, performs the reduction of unnecessary clusters and it's able to discover new groups. Based on Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.
ByteCompile: true
URL: https://github.com/azureblue/cec
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: C++11
License: GPL-3
Imports: graphics, methods, stats, utils
Packaged: 2018-07-26 20:10:44 UTC; konrad
Repository: CRAN
Date/Publication: 2018-07-26 22:00:06 UTC

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Package germinationmetrics updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-17

Title: Seed Germination Indices and Curve Fitting
Description: Provides functions to compute various germination indices such as germinability, median germination time, mean germination time, mean germination rate, speed of germination, Timson's index, germination value, coefficient of uniformity of germination, uncertainty of germination process, synchrony of germination etc. from germination count data. Includes functions for fitting cumulative seed germination curves using four-parameter hill function and computation of associated parameters. See the vignette for more, including full list of citations for the methods implemented.
Author: J. Aravind [aut, cre] (<https://orcid.org/0000-0002-4791-442X>), S. Vimala Devi [aut], J. Radhamani [aut], Sherry Rachel Jacob [aut], Kalyani Srinivasan [aut], ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.gov.in>

Diff between germinationmetrics versions 0.1.0 dated 2018-04-17 and 0.1.1 dated 2018-07-26

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Package ltsk updated to version 1.0.6 with previous version 1.0.5 dated 2018-01-03

Title: Local Time Space Kriging
Description: Implements local spatial and local spatiotemporal Kriging based on local spatial and local spatiotemporal variograms, respectively.
Author: Naresh Kumar, Dong Liang, Jin Chen, Jun Chen
Maintainer: Dong Liang <dliang@umces.edu>

Diff between ltsk versions 1.0.5 dated 2018-01-03 and 1.0.6 dated 2018-07-26

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Package lidR updated to version 1.6.0 with previous version 1.5.1 dated 2018-06-14

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented lassnags)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between lidR versions 1.5.1 dated 2018-06-14 and 1.6.0 dated 2018-07-26

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More information about lidR at CRAN
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Package reconstructr updated to version 2.0.2 with previous version 2.0.0 dated 2016-09-07

Title: Session Reconstruction and Analysis
Description: Functions to reconstruct sessions from web log or other user trace data and calculate various metrics around them, producing tabular, output that is compatible with 'dplyr' or 'data.table' centered processes.
Author: Oliver Keyes
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between reconstructr versions 2.0.0 dated 2016-09-07 and 2.0.2 dated 2018-07-26

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More information about reconstructr at CRAN
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Package RSuite updated to version 0.31-243 with previous version 0.30-241 dated 2018-07-13

Title: Supports Developing, Building and Deploying R Solution
Description: Supports safe and reproducible solutions development in R. It will help you with environment separation per project, dependency management, local packages creation and preparing deployment packs for your solutions.
Author: Walerian Sokolowski [aut, cre], Wit Jakuczun [aut], Yulia Yakimechko [aut], Mateusz Kalinowski [aut], Ryszard Szymanski [aut], WLOG Solutions [cph], R Consortium [ctb] (Definitions of system requirements are taken from sysreqsdb project.)
Maintainer: Walerian Sokolowski <rsuite@wlogsolutions.com>

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Package rpart.plot updated to version 3.0.2 with previous version 3.0.1 dated 2018-07-19

Title: Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
Description: Plot 'rpart' models. Extends plot.rpart() and text.rpart() in the 'rpart' package.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>

Diff between rpart.plot versions 3.0.1 dated 2018-07-19 and 3.0.2 dated 2018-07-26

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Package rmcfs updated to version 1.2.12 with previous version 1.2.11 dated 2018-05-18

Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Description: MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data. M. Draminski, J. Koronacki (2018) <doi:10.18637/jss.v085.i12>.
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <michal.draminski@ipipan.waw.pl>

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Package quickblock updated to version 0.1.1 with previous version 0.1.0 dated 2017-07-31

Title: Quick Threshold Blocking
Description: Provides functions for assigning treatments in randomized experiments using near-optimal threshold blocking. The package is made with large data sets in mind and derives blocks more than an order of magnitude quicker than other methods.
Author: Fredrik Savje [aut, cre], Jasjeet Sekhon [aut], Michael Higgins [aut]
Maintainer: Fredrik Savje <fredrik.savje@yale.edu>

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Package prozor updated to version 0.2.11 with previous version 0.2.3 dated 2017-04-20

Title: Minimal Protein Set Explaining Peptide Spectrum Matches
Description: Determine minimal protein set explaining peptide spectrum matches. Utility functions for creating fasta amino acid databases with decoys and contaminants. Peptide false discovery rate estimation for target decoy search results on psm, precursor, peptide and protein level.
Author: Witold Wolski
Maintainer: Witold Wolski <wewolski@gmail.com>

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Package MXM updated to version 1.3.7 with previous version 1.3.5 dated 2018-06-25

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. Reference: Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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More information about MXM at CRAN
Permanent link

Package GPoM updated to version 1.2 with previous version 1.1 dated 2018-01-18

Title: Generalized Polynomial Modelling
Description: Platform dedicated to the Global Modelling technique. Its aim is to obtain ordinary differential equations of polynomial form directly from time series. It can be applied to single or multiple time series under various conditions of noise, time series lengths, sampling, etc. This platform is developped at the Centre d'Etudes Spatiales de la Biosphere (CESBIO), UMR 5126 UPS/CNRS/CNES/IRD, 18 av. Edouard Belin, 31401 TOULOUSE, FRANCE. The developments were funded by the French program Les Enveloppes Fluides et l'Environnement (LEFE, MANU, projets GloMo, SpatioGloMo and MoMu). The French program Defi InFiNiTi (CNRS) and PNTS are also acknowledged (projects Crops'IChaos and Musc & SlowFast).
Author: Sylvain Mangiarotti [aut], Flavie Le Jean [ctb], Malika Chassan [ctb], Laurent Drapeau [ctb], Mireille Huc [cre]
Maintainer: Mireille Huc <mireille.huc@cesbio.cnes.fr>

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Package errors updated to version 0.3.0 with previous version 0.2.1 dated 2018-04-03

Title: Uncertainty Propagation for R Vectors
Description: Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <i.ucar86@gmail.com>

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Package clusterCrit updated to version 1.2.8 with previous version 1.2.7 dated 2016-05-27

Title: Clustering Indices
Description: Compute clustering validation indices.
Author: Bernard Desgraupes (University of Paris Ouest - Lab Modal'X)
Maintainer: Bernard Desgraupes <bernard.desgraupes@u-paris10.fr>

Diff between clusterCrit versions 1.2.7 dated 2016-05-27 and 1.2.8 dated 2018-07-26

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Package fs updated to version 1.2.4 with previous version 1.2.3 dated 2018-06-08

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package SPCAvRP updated to version 0.3 with previous version 0.2 dated 2018-01-16

Title: Sparse Principal Component Analysis via Random Projections (SPCAvRP)
Description: Implements the SPCAvRP algorithm, developed and analysed in "Sparse principal component analysis via random projections" Gataric, M., Wang, T. and Samworth, R. J. (2018) <arXiv:1712.05630>. The algorithm is based on the aggregation of eigenvector information from carefully-selected random projections of the sample covariance matrix.
Author: Milana Gataric, Tengyao Wang and Richard J. Samworth
Maintainer: Milana Gataric <m.gataric@statslab.cam.ac.uk>

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Package RonFHIR updated to version 0.3.0 with previous version 0.2.0 dated 2018-03-30

Title: Read and Search Interface to the 'HL7 FHIR' REST API
Description: R on FHIR is an easy to use wrapper around the 'HL7 FHIR' REST API (STU 3). It provides tools to easily read and search resources on a FHIR server and brings the results into the R environment. R on FHIR is based on the FhirClient of the official 'HL7 FHIR .NET API', also made by Firely.
Author: Sander Laverman [aut, cre], Firely B.V. [aut, cph]
Maintainer: Sander Laverman <sander@fire.ly>

Diff between RonFHIR versions 0.2.0 dated 2018-03-30 and 0.3.0 dated 2018-07-26

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Package conjoint updated to version 1.41 with previous version 1.39 dated 2013-08-15

Title: An Implementation of Conjoint Analysis Method
Description: This is a simple R package that allows to measure the stated preferences using traditional conjoint analysis method.
Author: Andrzej Bak and Tomasz Bartlomowicz <andrzej.bak@ue.wroc.pl>, <tomasz.bartlomowicz@ue.wroc.pl>
Maintainer: Tomasz Bartlomowicz <tomasz.bartlomowicz@ue.wroc.pl>

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Package aws.ec2metadata updated to version 0.1.5 with previous version 0.1.4 dated 2018-04-03

Title: Get EC2 Instance Metadata
Description: Retrieve Amazon EC2 instance metadata from within the running instance.
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>)
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

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Package RRreg updated to version 0.6.9 with previous version 0.6.8 dated 2018-06-04

Title: Correlation and Regression Analyses for Randomized Response Data
Description: Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <doi:10.2307/2283137>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724–732, <doi:10.3758/s13428-016-0729-x>).
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>

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Package jmvconnect updated to version 1.0.3 with previous version 1.0.2 dated 2018-07-24

Title: Connect to the 'jamovi' Statistical Spreadsheet
Description: Methods to access data sets from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information) from R.
Author: Jonathon Love [aut, cre]
Maintainer: Jonathon Love <jon@thon.cc>

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Package cmsaf updated to version 1.9.2 with previous version 1.9.1 dated 2018-04-16

Title: Tools for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable observing of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of seven National Meteorological and Hydrological Services. The 'cmsaf' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. The 'cmsaf' R-package is tested for CM SAF NetCDF data, which are structured in three-dimensional arrays (longitude, latitude, time) on a rectangular grid. Layered CM SAF data have to be converted with the provided levbox_mergetime() function. The 'cmsaf' R-package operators have only minor checks for deviations from the recommended data structure, and give only few specific error messages. Scripts for an easy application of the 'cmsaf' package operators and the preparation and visualization of CM SAF NetCDF data are provided at the CM SAF webpage (<http://www.cmsaf.eu/EN/Products/Tools/Tools_node.html>).
Author: Steffen Kothe <Steffen.Kothe@dwd.de>
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package basicTrendline updated to version 2.0.3 with previous version 2.0.2 dated 2018-07-25

Title: Add Trendline and Confidence Interval of Basic Regression Models to Plot
Description: Plot, draw regression line and confidence interval, and show regression equation, R-square and P-value, as simple as possible, by using different models ("line2P", "line3P", "log2P", "exp2P", "exp3P", "power2P", "power3P") built in the 'trendline()' function.
Author: Weiping Mei [aut, cre, cph] (<https://orcid.org/0000-0001-6400-9862>), Guangchuang Yu [aut] (<https://orcid.org/0000-0002-6485-8781>), Jiangshan Lai [ctb], Qiang Rao [ctb], Yu Umezawa [ctb]
Maintainer: Weiping Mei <meiweipingg@163.com>

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Package pec updated to version 2018.07.26 with previous version 2018.04.18 dated 2018-04-18

Title: Prediction Error Curves for Risk Prediction Models in Survival Analysis
Description: Validation of risk predictions obtained from survival models and competing risk models based on censored data using inverse weighting and cross-validation.
Author: Thomas A. Gerds
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

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Package stepp updated to version 3.2.0.0 with previous version 3.0-11 dated 2014-10-22

Title: Subpopulation Treatment Effect Pattern Plot (STEPP)
Description: A method to explore the treatment-covariate interactions in survival or generalized linear model (GLM) for continuous, binomial and count data arising from two or more treatment arms of a clinical trial. A permutation distribution approach to inference is implemented, based on permuting the covariate values within each treatment group. Bonetti M, Gelber RD (2004) <DOI:10.1093/biostatistics/5.3.465>. Marco Bonetti, David Zahrieh, Bernard F. Cole, and Richard D. Gelber (2009) <doi:10.1002/sim.3524>. Ann A. Lazar, Bernard F. Cole, Marco Bonetti, and Richard D. Gelber (2010) <doi:10.1200/JCO.2009.27.9182>. Lazar AA,Bonetti M,Cole BF,Yip WK,Gelber RD (2016) <doi:10.1177/1740774515609106>. Wai-Ki Yip,Marco Bonetti,Bernard F Cole,William Barcella,Xin Victoria Wang,Ann Lazar,and Richard D Gelber (2016) <doi:10.1177/1740774516643297>. Wang XV, Cole B, Bonetti M, Gelber RD (2016) < doi:10.1002/sim.6958>. Wai-Ki Yip (2017, ISBN:978-3-319-48846-2).
Author: Wai-ki Yip, with contributions from Ann Lazar, David Zahrieh, Chip Cole, Ann Lazar, Marco Bonetti, Victoria Wang, William Barcella and Richard Gelber
Maintainer: Wai-ki Yip <yuser86@yahoo.com>

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Package regplot updated to version 0.2 with previous version 0.1 dated 2017-09-27

Title: Enhanced Regression Nomogram Plot
Description: A function to plot a regression nomogram of coxph, lm and glm regression objects. Covariate distributions are superimposed on nomogram scales and the plot is animated to allow on the fly changes to distribution representation and to enable outcome calculation.
Author: Roger Marshall [aut, cre]
Maintainer: Roger Marshall <rj.marshall@auckland.ac.nz>

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Package penalizedSVM updated to version 1.1.2 with previous version 1.1.1 dated 2018-07-21

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: Natalia Becker <natalie_becker@gmx.de>

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Package codebook updated to version 0.6.2 with previous version 0.5.9 dated 2018-05-22

Title: Automatic Codebooks from Survey Metadata Encoded in Attributes
Description: Easily automate the following tasks to describe data frames: summarise the distributions of scales and items graphically and using descriptive statistics, compute reliabilities (internal consistencies, retest, multilevel) for psychological scales, combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.). The metadata and codebooks are also available at your fingertips via RStudio Addins.
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

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Package dnr updated to version 0.3.4 with previous version 0.3.2 dated 2018-02-23

Title: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family
Description: Functions are provided to fit temporal lag models to dynamic networks. The models are build on top of exponential random graph models (ERGM) framework. There are functions for simulating or forecasting networks for future time points. Stable Multiple Time Step Simulation/Prediction from Lagged Dynamic Network Regression Models. Mallik, Almquist (2017, under review).
Author: Abhirup Mallik [aut, cre], Zack Almquist [aut]
Maintainer: Abhirup Mallik <malli066@umn.edu>

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Package ridge updated to version 2.3 with previous version 2.2 dated 2017-02-27

Title: Ridge Regression with Automatic Selection of the Penalty Parameter
Description: Linear and logistic ridge regression functions. Additionally includes special functions for genome-wide single-nucleotide polymorphism (SNP) data.
Author: Steffen Moritz [aut, cre] (<https://orcid.org/0000-0002-0085-1804>), Erika Cule [aut]
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>

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Package numOSL updated to version 2.6 with previous version 2.5 dated 2018-05-18

Title: Numeric Routines for Optically Stimulated Luminescence Dating
Description: Package for optimizing regular numeric problems in optically stimulated luminescence dating, such as: equivalent dose calculation, dose rate determination, growth curve fitting, decay curve decomposition, statistical age model optimization, and statistical plot visualization.
Author: Jun Peng [aut, cre], Bo Li [aut], Jorge More [ctb], Burton Garbow [ctb], Kenneth Hillstrom [ctb], John Burkardt [ctb], Paul Gilbert [ctb], Ravi Varadhan [ctb]
Maintainer: Jun Peng <pengjun10@mails.ucas.ac.cn>

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Package swgee updated to version 1.3 with previous version 1.2 dated 2018-06-12

Title: Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations
Description: Simulation extrapolation and inverse probability weighted generalized estimating equations method for longitudinal data with missing observations and measurement error in covariates. References: Yi, G. Y. (2008) <doi:10.1093/biostatistics/kxm054>; Cook, J. R. and Stefanski, L. A. (1994) <doi:10.1080/01621459.1994.10476871>; Little, R. J. A. and Rubin, D. B. (2002, ISBN:978-0-471-18386-0).
Author: Juan Xiong <jxiong@szu.edu.cn>, Grace Y. Yi <yyi@uwaterloo.ca>
Maintainer: Juan Xiong <jxiong@szu.edu.cn>

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Package sugrrants updated to version 0.1.4 with previous version 0.1.3 dated 2018-07-07

Title: Supporting Graphs for Analysing Time Series
Description: Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>)
Maintainer: Earo Wang <earo.wang@gmail.com>

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