Thu, 28 Jun 2018

Package rsdmx updated to version 0.5-12 with previous version 0.5-11 dated 2018-02-14

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>), Matthieu Stigler [ctb], Eric Persson [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between rsdmx versions 0.5-11 dated 2018-02-14 and 0.5-12 dated 2018-06-28

 DESCRIPTION                                           |   14 
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Permanent link

Package prioritizr updated to version 4.0.2 with previous version 4.0.1 dated 2018-05-26

Title: Systematic Conservation Prioritization in R
Description: Conservation prioritization using integer programming techniques. To solve large-scale problems, users should install the 'gurobi' optimizer (available from <http://www.gurobi.com/>).
Author: Jeffrey O Hanson [aut], Richard Schuster [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey [aut], Matthew E Watts [aut], Peter Arcese [aut], Joeseph Bennett [aut], Hugh P Possingham [aut]
Maintainer: Richard Schuster <mail@richard-schuster.com>

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More information about prioritizr at CRAN
Permanent link

Package NAM updated to version 1.6.1 with previous version 1.6 dated 2018-05-11

Title: Nested Association Mapping
Description: Designed for association studies in nested association mapping (NAM) panels, experimental and random panels. The method is described by Xavier et al. (2015) <doi:10.1093/bioinformatics/btv448>. It includes tools for genome-wide associations of multiple populations, marker quality control, population genetics analysis, genome-wide prediction, solving mixed models and finding variance components through likelihood and Bayesian methods.
Author: Alencar Xavier, William Muir, Katy Rainey, Shizhong Xu.
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between NAM versions 1.6 dated 2018-05-11 and 1.6.1 dated 2018-06-28

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Package lfe updated to version 2.8 with previous version 2.7-2383 dated 2018-06-18

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 hyperSpec updated to version 0.99-20180627 with previous version 0.99-20171005 dated 2017-10-06

Title: Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)
Description: Comfortable ways to work with hyperspectral data sets. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f (wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable.
Author: Claudia Beleites [aut, cre, dtc], Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]
Maintainer: Claudia Beleites <chemometrie@beleites.de>

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Package cld3 updated to version 1.1 with previous version 1.0 dated 2017-06-07

Title: Google's Compact Language Detector 3
Description: Google's Compact Language Detector 3 is a neural network model for language identification and the successor of 'cld2' (available from CRAN). The algorithm is still experimental and takes a novel approach to language detection with different properties and outcomes. It can be useful to combine this with the Bayesian classifier results from 'cld2'. See <https://github.com/google/cld3#readme> for more information.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Google Inc [cph] (CLD3 C++ library)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between cld3 versions 1.0 dated 2017-06-07 and 1.1 dated 2018-06-28

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Package cgam updated to version 1.11 with previous version 1.10 dated 2018-04-11

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Mary C. Meyer (2013)<doi:10.1080/10485252.2013.797577> for more details.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>

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Package ropercenter updated to version 0.2.0 with previous version 0.1.0 dated 2017-03-17

Title: Reproducible Data Retrieval from the Roper Center Data Archive
Description: Reproducible, programmatic retrieval of datasets from the Roper Center data archive. The Roper Center for Public Opinion Research <https://ropercenter.cornell.edu> maintains the largest archive of public opinion data in existence, but researchers using these datasets are caught in a bind. The Center's terms and conditions bar redistribution of downloaded datasets, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one employed. The `ropercenter` package cuts this knot by providing registered users with programmatic, reproducible access to Roper Center datasets from within R.
Author: Frederick Solt [aut, cre]
Maintainer: Frederick Solt <frederick-solt@uiowa.edu>

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Package mfGARCH updated to version 0.1.5 with previous version 0.1.4 dated 2018-06-19

Title: Mixed-Frequency GARCH Models
Description: Estimating GARCH-MIDAS (MIxed-DAta-Sampling) models (Engle, Ghysels, Sohn, 2013, <doi:10.1162/REST_a_00300>) and related statistical inference, accompanying the paper "Two are better than one: volatility forecasting using multiplicative component GARCH models" by Conrad and Kleen (2018, Working Paper, <doi:10.2139/ssrn.2752354>). The GARCH-MIDAS model decomposes the conditional variance of (daily) stock returns into a short- and long-term component, where the latter may depend on an exogenous covariate sampled at a lower frequency.
Author: Onno Kleen [aut, cre]
Maintainer: Onno Kleen <r@onnokleen.de>

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Package SimMultiCorrData updated to version 0.2.2 with previous version 0.2.1 dated 2017-11-09

Title: Simulation of Correlated Data with Multiple Variable Types
Description: Generate continuous (normal or non-normal), binary, ordinal, and count (Poisson or Negative Binomial) variables with a specified correlation matrix. It can also produce a single continuous variable. This package can be used to simulate data sets that mimic real-world situations (i.e. clinical or genetic data sets, plasmodes). All variables are generated from standard normal variables with an imposed intermediate correlation matrix. Continuous variables are simulated by specifying mean, variance, skewness, standardized kurtosis, and fifth and sixth standardized cumulants using either Fleishman's third-order (<DOI:10.1007/BF02293811>) or Headrick's fifth-order (<DOI:10.1016/S0167-9473(02)00072-5>) polynomial transformation. Binary and ordinal variables are simulated using a modification of the ordsample() function from 'GenOrd'. Count variables are simulated using the inverse cdf method. There are two simulation pathways which differ primarily according to the calculation of the intermediate correlation matrix. In Correlation Method 1, the intercorrelations involving count variables are determined using a simulation based, logarithmic correlation correction (adapting Yahav and Shmueli's 2012 method, <DOI:10.1002/asmb.901>). In Correlation Method 2, the count variables are treated as ordinal (adapting Barbiero and Ferrari's 2015 modification of GenOrd, <DOI:10.1002/asmb.2072>). There is an optional error loop that corrects the final correlation matrix to be within a user-specified precision value of the target matrix. The package also includes functions to calculate standardized cumulants for theoretical distributions or from real data sets, check if a target correlation matrix is within the possible correlation bounds (given the distributions of the simulated variables), summarize results (numerically or graphically), to verify valid power method pdfs, and to calculate lower standardized kurtosis bounds.
Author: Allison Cynthia Fialkowski
Maintainer: Allison Cynthia Fialkowski <allijazz@uab.edu>

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Package ecotox updated to version 1.3.2 with previous version 1.3.1 dated 2018-03-20

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 svTools updated to version 0.9-5 with previous version 0.9-4 dated 2014-03-02

Title: Wrappers for Tools in Other Packages for IDE Friendliness
Description: Set of tools aimed at wrapping some of the functionalities of the packages tools, utils and codetools into a nicer format so that an IDE can use them.
Author: Philippe Grosjean [aut, cre], Romain Francois [aut]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package svIDE updated to version 0.9-54 with previous version 0.9-52 dated 2014-03-03

Title: Functions to Ease Interactions Between R and IDE or Code Editors
Description: Function for the GUI API to interact with external IDE/code editors.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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New package RTransProb with initial version 0.3.0
Package: RTransProb
Type: Package
Title: Analyze and Forecast Credit Migrations
Version: 0.3.0
Date: 2018-06-19
Author: Ab NDiaye
Maintainer: Ab NDiaye <pabdndiaye@gmail.com>
Description: A set of functions used to automate commonly used methods in credit risk to estimate migration (transition) matrices. The package includes multiple methods for bootstrapping default rates and forecasting/stress testing credit exposures migrations, via Econometric and Machine Learning approaches. More information can be found at <https://analyticsrusers.blog>.
LazyData: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.5.0)
Imports: chron, caret, e1071, expm, MASS, Matrix, matrixStats, neuralnet, nnet, pracma, tcltk, zoo, Rcpp (>= 0.12.11)
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2
NeedsCompilation: yes
Packaged: 2018-06-28 12:55:16 UTC; Jamdoulaye
Repository: CRAN
Date/Publication: 2018-06-28 13:54:12 UTC

More information about RTransProb at CRAN
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Package lemon updated to version 0.4.1 with previous version 0.3.3 dated 2018-01-31

Title: Freshing Up your 'ggplot2' Plots
Description: Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
Author: Stefan McKinnon Edwards [aut, ctb, cre] (<https://orcid.org/0000-0002-4628-8148>), Baptiste Auguie [ctb] (For g_legend and grid_arrange_shared_legend), Shaun Jackman [ctb] (For grid_arrange_shared_legend), Hadley Wickham [ctb] (ggplot2 functions), Winston Chang [ctb] (ggplot2 functions)
Maintainer: Stefan McKinnon Edwards <sme@iysik.com>

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Package dygraphs updated to version 1.1.1.5 with previous version 1.1.1.4 dated 2017-01-04

Title: Interface to 'Dygraphs' Interactive Time Series Charting Library
Description: An R interface to the 'dygraphs' JavaScript charting library (a copy of which is included in the package). Provides rich facilities for charting time-series data in R, including highly configurable series- and axis-display and interactive features like zoom/pan and series/point highlighting.
Author: Dan Vanderkam [aut, cph] (dygraphs library in htmlwidgets/lib, http://dygraphs.com/), Petr Shevtsov [cre, cph], JJ Allaire [aut], RStudio [cph], Jonathan Owen [aut, cph], Daniel Gromer [aut, cph], Benoit Thieurmel [aut, cph], Kent Laukhuf [ctb], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/htmlwidgets/lib/jquery/AUTHORS.txt)
Maintainer: Petr Shevtsov <petr.shevtsov@gmail.com>

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Package DatabaseConnector updated to version 2.1.3 with previous version 2.1.2 dated 2018-05-24

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', and 'Google BigQuery'). Also includes support for fetching data as 'ffdf' objects. Uses 'Java Database Connectivity' ('JDBC') to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] (SQL Server JDBC driver), PostgreSQL Global Development Group [cph] (PostgreSQL JDBC driver), Starschema Ltd. [cph] (BigQuery JDBC driver), Oracle Inc. [cph] (Oracle JDBC driver), Amazon Inc. [cph] (RedShift JDBC driver)
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between DatabaseConnector versions 2.1.2 dated 2018-05-24 and 2.1.3 dated 2018-06-28

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 R/InsertTable.R                                                              |   75 
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Permanent link

New package skynet with initial version 1.2.2
Type: Package
Package: skynet
Version: 1.2.2
Title: Generates Networks from BTS Data
Authors@R: person("Filipe", "Teixeira", email = "Filipe.MarquesTeixeira@Ugent.be", role = c("aut", "cre"))
Maintainer: Filipe Teixeira <Filipe.MarquesTeixeira@Ugent.be>
URL: https://github.com/FilipeamTeixeira/skynet
Description: A flexible tool that allows generating bespoke air transport statistics for urban studies based on publicly available data from the Bureau of Transport Statistics (BTS) in the United States <https://www.transtats.bts.gov/databases.asp?Mode_ID=1&Mode_Desc=Aviation&Subject_ID2=0>.
License: MIT + file LICENSE
BugReports: https://github.com/FilipeamTeixeira/skynet/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Collate: 'PowerLaw.R' 'createNodes.R' 'data_ODsample.R' 'data_airports.R' 'data_carriers.R' 'data_metro.R' 'disparityfilter.R' 'findAirport.R' 'fromto.R' 'netImport.R' 'netDir.R' 'netUnd.R' 'netInt.R' 'netPath.R' 'skynet.R' 'nodeStats.R' 'import_t100.R' 'import_db1b.R' 'findCarrier.R' 'plotMap.R' 'skynet_example.R' 'bootnet.R' 'summary.R'
Depends: R (>= 3.1.2)
Imports: data.table, igraph, dplyr, ggplot2, ggrepel, stringr, maps
Suggests: knitr, rmarkdown, testthat, kableExtra, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-06-28 08:31:02 UTC; Fil
Author: Filipe Teixeira [aut, cre]
Repository: CRAN
Date/Publication: 2018-06-28 10:40:57 UTC

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Package raptr updated to version 0.1.2 with previous version 0.1.1 dated 2017-11-20

Title: Representative and Adequate Prioritization Toolkit in R
Description: Biodiversity is in crisis. The overarching aim of conservation is to preserve biodiversity patterns and processes. To this end, protected areas are established to buffer species and preserve biodiversity processes. But resources are limited and so protected areas must be cost-effective. This package contains tools to generate plans for protected areas (prioritizations), using spatially explicit targets for biodiversity patterns and processes. To obtain solutions in a feasible amount of time, this package uses the commercial 'Gurobi' software package (obtained from <http://www.gurobi.com/>). For more information on using this package, see Hanson et al. (2017) <doi:10.1111/2041-210X.12862>.
Author: Jeffrey O Hanson [aut, cre], Jonathan R Rhodes [aut], Hugh P Possingham [aut], Richard A Fuller [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

Diff between raptr versions 0.1.1 dated 2017-11-20 and 0.1.2 dated 2018-06-28

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Package optiSel updated to version 2.0.1 with previous version 2.0 dated 2017-12-15

Title: Optimum Contribution Selection and Population Genetics
Description: A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees.
Author: Robin Wellmann
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>

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Package INDperform updated to version 0.1.1 with previous version 0.1.0 dated 2018-06-14

Title: Evaluation of Indicator Performances for Assessing Ecosystem States
Description: An implementation of the 7-step approach suggested by Otto et al. (2018) <doi:10.1016/j.ecolind.2017.05.045> to validate ecological state indicators and to select a suite of complimentary and well performing indicators. This suite can be then used to assess the current state of the system in comparison to a reference period. However, the tools in this package are very generic and can be used to test any type of indicator (e.g. social or economic indicators).
Author: Saskia A. Otto [aut, cre], Rene Plonus [aut], Steffen Funk [aut], Alexander Keth [aut]
Maintainer: Saskia A. Otto <saskia.a.otto@gmail.com>

Diff between INDperform versions 0.1.0 dated 2018-06-14 and 0.1.1 dated 2018-06-28

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New package dynOmics with initial version 1.2
Package: dynOmics
Type: Package
Title: Fast Fourier Transform to Identify Associations Between Time Course Omics Data
Version: 1.2
Date: 2018-06-12
Depends: R (>= 3.0.0), ggplot2
Imports: methods, parallel, gplots
Author: Jasmin Straube [aut, cre], Kim-Anh Le Cao [aut], Emma Huang [aut], Anne Bernard [ctb]
Maintainer: Jasmin Straube <jasmin.straube@qimrberghofer.edu.au>
Description: Implements a method based on the fast Fourier transform to estimate delays of expression initiation between trajectories to integrate and analyse time course omics data.
License: GPL (>= 2) | file LICENSE
VignetteBuilder: knitr
Suggests: knitr, lmms, nlme, testthat, snow
NeedsCompilation: no
LazyData: true
RoxygenNote: 6.0.1
Packaged: 2018-06-27 22:32:33 UTC; JasminS
Repository: CRAN
Date/Publication: 2018-06-28 10:41:01 UTC

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Package clusterlab updated to version 0.0.2.2 with previous version 0.0.2.1 dated 2018-06-27

Title: Flexible Gaussian Cluster Simulator
Description: Clustering is a central task in big data analyses and clusters are often Gaussian or near Gaussian. However, a flexible Gaussian cluster simulation tool with precise control over the size, variance, and spacing of the clusters in NXN dimensional space does not exist. This is why we created 'clusterlab'. The algorithm first creates X points equally spaced on the circumference of a circle in 2D space. These form the centers of each cluster to be simulated. Additional samples are added by adding Gaussian noise to each cluster center and concatenating the new sample co-ordinates. Then if the feature space is greater than 2D, the generated points are considered principal component scores and projected into N dimensional space using linear combinations using fixed eigenvectors. Through using vector rotations and scalar multiplication clusterlab can generate complex patterns of Gaussian clusters and outliers. The algorithm is highly customizable and well suited to testing class discovery tools across a range of fields.
Author: Christopher R John
Maintainer: Christopher R John <chris.r.john86@gmail.com>

Diff between clusterlab versions 0.0.2.1 dated 2018-06-27 and 0.0.2.2 dated 2018-06-28

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Package svWidgets updated to version 0.9-45 with previous version 0.9-44 dated 2014-03-02

Title: Management of GUI Widgets, Windows, and Other GUI Resources
Description: High level management of widgets, windows and other graphical resources.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svWidgets versions 0.9-44 dated 2014-03-02 and 0.9-45 dated 2018-06-28

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Package ifaTools updated to version 0.16 with previous version 0.14 dated 2017-04-17

Title: Toolkit for Item Factor Analysis with 'OpenMx'
Description: Tools, tutorials, and demos of Item Factor Analysis using 'OpenMx'.
Author: Joshua N. Pritikin [cre, aut]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between ifaTools versions 0.14 dated 2017-04-17 and 0.16 dated 2018-06-28

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Package gogamer (with last version 0.4.3) was removed from CRAN

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

2016-09-08 0.4.3

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Package SemiSupervised (with last version 1.0) was removed from CRAN

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

2018-05-11 1.0

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Package rflann (with last version 1.3) was removed from CRAN

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

2017-01-29 1.3

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Package GraphKit (with last version 0.5) was removed from CRAN

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

2017-03-24 0.5
2017-02-21 0.4

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Package rcss (with last version 1.2) was removed from CRAN

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

2017-01-30 1.2

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Package NetworkInference (with last version 1.2.1) was removed from CRAN

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

2018-06-07 1.2.1
2018-06-05 1.2.0
2017-12-01 1.1.2
2017-07-18 1.1.1
2017-06-06 1.1.0
2017-03-26 1.0.0

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Package wTO updated to version 1.6.1 with previous version 1.6 dated 2018-05-30

Title: Computing Weighted Topological Overlaps (wTO) & Consensus wTO Network
Description: Computes the Weighted Topological Overlap with positive and negative signs (wTO) networks (Nowick et al. (2009) <doi:10.1073/pnas.0911376106>) given a data frame containing the mRNA count/ expression/ abundance per sample, and a vector containing the interested nodes of interaction (a subset of the elements of the full data frame). It also computes the cut-off threshold or p-value based on the individuals bootstrap or the values reshuffle per individual. It also allows the construction of a consensus network, based on multiple wTO networks. The package includes a visualization tool for the networks. More about the methodology can be found at <arXiv:1711.04702>.
Author: Deisy Morselli Gysi, Andre Voigt, Tiago Miranda Fragoso, Eivind Almaas and Katja Nowick.
Maintainer: Deisy Morselli Gysi <deisy@bioinf.uni-leipzig.de>

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Package icesTAF updated to version 1.6-1 with previous version 1.6-0 dated 2018-05-15

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <http://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

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Package skynet (with last version 1.2.1) was removed from CRAN

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

2018-06-25 1.2.1
2018-04-06 1.0.1
2018-01-29 1.0

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Package photobiology updated to version 0.9.21 with previous version 0.9.20 dated 2018-04-02

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima. Conversion between energy- and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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More information about photobiology at CRAN
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Package lmQCM updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-19

Title: An Algorithm for Gene Co-Expression Analysis
Description: Implementation based on Zhang, Jie & Huang, Kun (2014) <doi:10.4137/CIN.S14021> Normalized ImQCM: An Algorithm for Detecting Weak Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression Module Discovery in Cancers. Cancer informatics, 13, CIN-S14021.
Author: Zhi Huang [aut, cre], Jie Zhang [aut, ctb], Kun Huang [aut, ctb], Zhi Han [aut, ctb]
Maintainer: Zhi Huang <huang898@purdue.edu>

Diff between lmQCM versions 0.1.0 dated 2018-03-19 and 0.1.1 dated 2018-06-28

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More information about lmQCM at CRAN
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Package gistr updated to version 0.4.2 with previous version 0.4.0 dated 2017-04-20

Title: Work with 'GitHub' 'Gists'
Description: Work with 'GitHub' 'gists' from 'R' (e.g., <http://en.wikipedia.org/wiki/GitHub#Gist>, <https://help.github.com/articles/about-gists/>). A 'gist' is simply one or more files with code/text/images/etc. This package allows the user to create new 'gists', update 'gists' with new files, rename files, delete files, get and delete 'gists', star and 'un-star' 'gists', fork 'gists', open a 'gist' in your default browser, get embed code for a 'gist', list 'gist' 'commits', and get rate limit information when 'authenticated'. Some requests require authentication and some do not. 'Gists' website: <https://gist.github.com/>.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Ramnath Vaidyanathan [aut], Karthik Ram [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package dataone updated to version 2.1.1 with previous version 2.1.0 dated 2017-08-18

Title: R Interface to the DataONE REST API
Description: Provides read and write access to data and metadata from the DataONE network <https://www.dataone.org> of data repositories. Each DataONE repository implements a consistent repository application programming interface. Users call methods in R to access these remote repository functions, such as methods to query the metadata catalog, get access to metadata for particular data packages, and read the data objects from the data repository. Users can also insert and update data objects on repositories that support these methods.
Author: Matthew B. Jones [aut, cre], Peter Slaughter [aut], Rob Nahf [aut], Carl Boettiger [aut], Chris Jones [aut], Jordan Read [aut], Lauren Walker [aut], Edmund Hart [aut], Scott Chamberlain [aut], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package chebpol updated to version 1.4-1 with previous version 1.3-1789 dated 2015-10-28

Title: Multivariate Chebyshev Interpolation
Description: Contains methods for creating multivariate Chebyshev interpolations of functions on a hypercube. If available through fftw3, the DCT-II/FFT is used to compute the coefficients, so it is reasonably fast. Some interpolation methods for multivariate non-Chebyshev grids are also provided, as well as polyharmonic splines with a linear term.
Author: Simen Gaure [aut, cre]
Maintainer: Simen Gaure <Simen.Gaure@frisch.uio.no>

Diff between chebpol versions 1.3-1789 dated 2015-10-28 and 1.4-1 dated 2018-06-28

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More information about chebpol at CRAN
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