Tue, 30 Jan 2018

Package xpose updated to version 0.4.2 with previous version 0.4.1 dated 2018-01-09

Title: Diagnostics for Pharmacometric Models
Description: Diagnostics for non-linear mixed-effects (population) models from 'NONMEM' <http://www.iconplc.com/innovation/nonmem/>. 'xpose' facilitates data import, creation of numerical run summary and provide 'ggplot2'-based graphics for data exploration and model diagnostics.
Author: Benjamin Guiastrennec [aut, cre, cph], Andrew C. Hooker [aut, cph], Anna Olofsson [aut, cph], Sebastian Ueckert [aut, cph], Ron Keizer [aut], Nick Solomon [ctb] (Wrote the geom_qq_line function), Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. Karlsson [aut, cph], Pharmetheus [ctb], Pfizer [ctb]
Maintainer: Benjamin Guiastrennec <guiastrennec@gmail.com>

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Package rtfbs updated to version 0.3.9 with previous version 0.3.5 dated 2016-08-16

Title: Transcription Factor Binding Site Identification Tool
Description: Identifies and scores possible Transcription Factor Binding Sites and allows for FDR analysis and pruning. It supports splitting of sequences based on size or a specified GFF, grouping by G+C content, and specification of Markov model order. The heavy lifting is done in C while all results are made available via R.
Author: Nicholas Peterson, Andre Martins, Melissa Hubisz, and Adam Siepel
Maintainer: Ritika Ramani<rramani@cshl.edu>

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Package mlegp updated to version 3.1.6 with previous version 3.1.5 dated 2018-01-30

Title: Maximum Likelihood Estimates of Gaussian Processes
Description: Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots following Santner et al (2003) <doi:10.1007/978-1-4757-3799-8>. Contact the maintainer for a package version that includes sensitivity analysis.
Author: Garrett M. Dancik
Maintainer: Garrett M. Dancik <dancikg@easternct.edu>

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Package Epi updated to version 2.24 with previous version 2.19 dated 2017-08-09

Title: A Package for Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data, in particular representation, manipulation and simulation of multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Also contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package DT updated to version 0.4 with previous version 0.3 dated 2018-01-23

Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut, cre], Joe Cheng [ctb], JJ Allaire [ctb], Xianying Tan [ctb], Maximilian Girlich [ctb], jQuery contributors [ctb, cph] (jQuery in htmlwidgets/lib), SpryMedia Limited [ctb, cph] (DataTables in htmlwidgets/lib), Brian Reavis [ctb, cph] (selectize.js in htmlwidgets/lib), Leon Gersen [ctb, cph] (noUiSlider in htmlwidgets/lib), Bartek Szopka [ctb, cph] (jquery.highlight.js in htmlwidgets/lib), RStudio Inc [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package personalized updated to version 0.1.3 with previous version 0.1.2 dated 2017-11-28

Title: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Description: Provides functions for fitting and validation of subgroup identification and personalized medicine models under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies.
Author: Jared Huling [aut, cre], Aaron Potvien [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package gaston updated to version 1.5.3 with previous version 1.5.2 dated 2018-01-24

Title: Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models
Description: Manipulation of genetic data (SNPs). Computation of GRM and dominance matrix, LD, heritability with efficient algorithms for linear mixed model (AIREML) .
Author: Hervé Perdry [cre, cph], Claire Dandine-Roulland [aut, cph], Deepak Bandyopadhyay [cph] (C++ gzstream class), Lutz Kettner [cph] (C++ gzstream class)
Maintainer: Hervé Perdry <herve.perdry@u-psud.fr>

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Package covTestR updated to version 0.1.3 with previous version 0.1.2 dated 2017-12-23

Title: Covariance Matrix Tests
Description: Testing functions for Covariance Matrices. These tests include high-dimension homogeneity of covariance matrix testing described by Schott (2007) <doi:10.1016/j.csda.2007.03.004> and high-dimensional one-sample tests of covariance matrix structure described by Fisher, et al. (2010) <doi:10.1016/j.jmva.2010.07.004>. Covariance matrix tests use C++ to speed performance and allow larger data sets.
Author: Ben Barnard [aut, cre], Dean Young [aut]
Maintainer: Ben Barnard <ben_barnard@outlook.com>

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Package MuMIn updated to version 1.40.4 with previous version 1.40.0 dated 2017-10-02

Title: Multi-Model Inference
Description: Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
Author: Kamil Bartoń
Maintainer: Kamil Bartoń <kamil.barton@go2.pl>

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Package mapview updated to version 2.3.0 with previous version 2.2.0 dated 2017-11-02

Title: Interactive Viewing of Spatial Data in R
Description: Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images, bounding boxes, small multiples and 3D raster data cubes.
Author: Tim Appelhans [cre, aut], Florian Detsch [aut], Christoph Reudenbach [aut], Stefan Woellauer [aut], Spaska Forteva [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Kenton Russell [ctb], Michael Sumner [ctb], Environmental Informatics Marburg [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package apcluster updated to version 1.4.5 with previous version 1.4.4 dated 2017-07-04

Title: Affinity Propagation Clustering
Description: Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely analogous to the 'Matlab' code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.
Author: Ulrich Bodenhofer, Johannes Palme, Chrats Melkonian, Andreas Kothmeier
Maintainer: Ulrich Bodenhofer <bodenhofer@bioinf.jku.at>

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Package TipDatingBeast updated to version 1.0-7 with previous version 1.0-6 dated 2017-11-21

Title: Using Tip Dates with Phylogenetic Trees in BEAST (Software for Phylogenetic Analysis)
Description: Assist performing tip-dating of phylogenetic trees with BEAST.
Author: Adrien Rieux, Camilo Khatchikian
Maintainer: Camilo Khatchikian <ckhatchikian@gmail.com>

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Package rpivotTable updated to version 0.3.0 with previous version 0.2.0 dated 2017-04-16

Title: Build Powerful Pivot Tables and Dynamically Slice & Dice your Data
Description: Build powerful pivot tables (aka Pivot Grid, Pivot Chart, Cross-Tab) and dynamically slice & dice / drag 'n' drop your data. 'rpivotTable' is a wrapper of 'pivottable', a powerful open-source Pivot Table library implemented in 'JavaScript' by Nicolas Kruchten. Aligned to 'pivottable' v2.19.0.
Author: Enzo Martoglio [aut, cre], Nicolas Kruchten [ctb, cph], Nagarajan Chinnasamy [ctb, cph], Kenton Russell [ctb]
Maintainer: Enzo Martoglio <enzo@smartinsightsfromdata.com>

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Package profmem updated to version 0.5.0 with previous version 0.4.0 dated 2016-09-15

Title: Simple Memory Profiling for R
Description: A simple and light-weight API for memory profiling of R expressions. The profiling is built on top of R's built-in memory profiler ('utils::Rprofmem()'), which records every memory allocation done by R (also native code).
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package colorednoise updated to version 0.0.2 with previous version 0.0.1 dated 2017-10-10

Title: Simulate Temporally Autocorrelated Population Time Series
Description: Temporally autocorrelated populations are correlated in their vital rates (growth, death, etc.) from year to year. It is very common for populations, whether they be bacteria, plants, or humans, to be temporally autocorrelated. This poses a challenge for stochastic population modeling, because a temporally correlated population will behave differently from an uncorrelated one. This package provides tools for simulating populations with white noise (no temporal autocorrelation), red noise (positive temporal autocorrelation), and blue noise (negative temporal autocorrelation). The algebraic formulation for autocorrelated noise comes from Ruokolainen et al. (2009) <doi:10.1016/j.tree.2009.04.009>. The simulations are based on an assumption of an asexually reproducing population, but it can also be used to simulate females of a sexually reproducing species.
Author: Julia Pilowsky [aut, cre], Elizabeth Crone [ctb]
Maintainer: Julia Pilowsky <jap2178@caa.columbia.edu>

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New package KRIG with initial version 0.1.0
Package: KRIG
Type: Package
Title: Spatial Statistic with Kriging
Version: 0.1.0
Encoding: UTF-8
Date: 2018-01-27
License: LGPL-3
Description: Implements different methods for spatial statistics, in particular focused in Kriging based models. We count with different implemented models, simple, ordinary and universal forms of Kriging, co-Kriging and regression Kriging models. Includes, multivariate sensitivity analysis under an approximation designed over reproducing kernel Hilbert spaces and computation of Sobol indexes under this framework.
Authors@R: c( person("Pedro", "Guarderas", email = "pedro.felipe.guarderas@gmail.com", role = c("aut","cre") ), person("Daniel", "Lagos", role="ctb"), person("Andrés", "Lopez", role="ctb") )
URL: https://github.com/pedroguarderas/KRIG
BugReports: https://github.com/pedroguarderas/KRIG/issues
Depends: R (>= 3.3)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
Imports: Rcpp, Rdpack
Suggests: data.table, colorRamps, plotly, knitr, rmarkdown, testthat
LazyData: true
VignetteBuilder: knitr
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2018-01-30 18:31:46 UTC; aju
Author: Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andrés Lopez [ctb]
Maintainer: Pedro Guarderas <pedro.felipe.guarderas@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-30 18:50:00 UTC

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Package indelmiss updated to version 1.0.8 with previous version 1.0.7 dated 2016-08-21

Title: Insertion Deletion Analysis While Accounting for Possible Missing Data
Description: Genome-wide gene insertion and deletion rates can be modelled in a maximum likelihood framework with the additional flexibility of modelling potential missing data using the models included within. These models simultaneously estimate insertion and deletion (indel) rates of gene families and proportions of "missing" data for (multiple) taxa of interest. The likelihood framework is utilized for parameter estimation. A phylogenetic tree of the taxa and gene presence/absence patterns (with data ordered by the tips of the tree) are required. See Dang et al. (2016) <doi:10.1534/genetics.116.191973> for more details.
Author: Utkarsh J. Dang and G. Brian Golding
Maintainer: Utkarsh J. Dang <udang@binghamton.edu>

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Package FarmSelect updated to version 1.0.1 with previous version 1.0.0 dated 2018-01-17

Title: Factor Adjusted Robust Model Selection
Description: Implements a consistent model selection strategy for high dimensional sparse regression when the covariate dependence can be reduced through factor models. By separating the latent factors from idiosyncratic components, the problem is transformed from model selection with highly correlated covariates to that with weakly correlated variables. It is appropriate for cases where we have many variables compared to the number of samples. Moreover, it implements a robust procedure to estimate distribution parameters wherever possible, hence being suitable for cases when the underlying distribution deviates from Gaussianity. See the paper on the 'FarmSelect' method, Fan et al.(2017) <arXiv:1612.08490>, for detailed description of methods and further references.
Author: Koushiki Bose [aut, cre], Yuan Ke [aut], Kaizheng Wang [aut]
Maintainer: Koushiki Bose <bose@princeton.edu>

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New package EmiStatR with initial version 1.2.0.4
Package: EmiStatR
Type: Package
Title: Emissions and Statistics in R for Wastewater and Pollutants in Combined Sewer Systems
Version: 1.2.0.4
Date: 2018-01-22
Author: J.A. Torres-Matallana [aut, cre] K. Klepiszewski [aut, cre] U. Leopold [ctb] G. Schutz [ctb] G.B.M. Heuvelink [ctb]
Maintainer: J.A. Torres-Matallana <arturo.torres@list.lu>
Description: Provides a fast and parallelised calculator to estimate combined wastewater emissions. It supports the planning and design of urban drainage systems, without the requirement of extensive simulation tools. The 'EmiStatR' package implements modular R methods. This enables to add new functionalities through the R framework. Furthermore, 'EmiStatR' was implemented with an interactive user interface with sliders and input data exploration.
License: GPL (>= 3)
Depends: R (>= 2.10), methods, shiny
Imports: utils, grDevices, graphics, stats, xts, zoo, foreach, parallel, lattice, doParallel
NeedsCompilation: no
Packaged: 2018-01-30 14:06:42 UTC; atorres
Repository: CRAN
Date/Publication: 2018-01-30 18:29:09 UTC

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Package Rdimtools updated to version 0.3.0 with previous version 0.2.0 dated 2018-01-02

Title: Dimension Reduction and Estimation Methods
Description: We provide 111 linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>

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Permanent link

Package markophylo updated to version 1.0.6 with previous version 1.0.4 dated 2015-12-31

Title: Markov Chain Models for Phylogenetic Trees
Description: Allows for fitting of maximum likelihood models using Markov chains on phylogenetic trees for analysis of discrete character data. Examples of such discrete character data include restriction sites, gene family presence/absence, intron presence/absence, and gene family size data. Hypothesis-driven user- specified substitution rate matrices can be estimated. Allows for biologically realistic models combining constrained substitution rate matrices, site rate variation, site partitioning, branch-specific rates, allowing for non-stationary prior root probabilities, correcting for sampling bias, etc. See Dang and Golding (2016) <doi:10.1093/bioinformatics/btv541> for more details.
Author: Utkarsh J. Dang and G. Brian Golding
Maintainer: Utkarsh J. Dang <udang@binghamton.edu>

Diff between markophylo versions 1.0.4 dated 2015-12-31 and 1.0.6 dated 2018-01-30

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Package callr updated to version 2.0.1 with previous version 2.0.0 dated 2018-01-28

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, Winston Chang
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between callr versions 2.0.0 dated 2018-01-28 and 2.0.1 dated 2018-01-30

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New package relatable with initial version 1.0.0
Package: relatable
Type: Package
Title: Functions for Mapping Key-Value Pairs, Many-to-Many, One-to-Many, and Many-to-One Relations
Version: 1.0.0
Authors@R: person("Dominic", "Jarkey", email = "dominic.jarkey@gmail.com", role = c("aut", "cre"))
Description: Functions to safely map from a vector of keys to a vector of values, determine properties of a given relation, or ensure a relation conforms to a given type, such as many-to-many, one-to-many, injective, surjective, or bijective. Permits default return values for use similar to a vectorised switch statement, as well as safely handling large vectors, NAs, and duplicate mappings.
Depends: R (>= 3.4)
Imports: compare (>= 0.2-6)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, tibble
VignetteBuilder: knitr
URL: https://github.com/domjarkey/relatable
NeedsCompilation: no
Packaged: 2018-01-30 15:13:31 UTC; dom
Author: Dominic Jarkey [aut, cre]
Maintainer: Dominic Jarkey <dominic.jarkey@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-30 16:56:41 UTC

More information about relatable at CRAN
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Package RBMRB updated to version 2.1.2 with previous version 2.1.0 dated 2017-09-22

Title: BMRB Data Access and Visualization
Description: The Biological Magnetic Resonance Data Bank (BMRB,<http:// www.bmrb.wisc.edu/>) collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR(Nuclear Magnetic Resonance) spectroscopic investigations of biological macromolecules and metabolites. This package provides an interface to BMRB database for easy data access and includes a minimal set of data visualization functions. Users are encouraged to make their own data visualizations using BMRB data.
Author: Kumaran Baskaran
Maintainer: Kumaran Baskaran<kbaskaran@bmrb.wisc.edu>

Diff between RBMRB versions 2.1.0 dated 2017-09-22 and 2.1.2 dated 2018-01-30

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Package gProfileR updated to version 0.6.3 with previous version 0.6.2 dated 2017-12-19

Title: Interface to the 'g:Profiler' Toolkit
Description: Functional enrichment analysis, gene identifier conversion and mapping homologous genes across related organisms via the 'g:Profiler' toolkit (<https://biit.cs.ut.ee/gprofiler/>).
Author: Juri Reimand <juri.reimand@ut.ee>, Raivo Kolde <rkolde@gmail.com>, Tambet Arak <tambet.arak@gmail.com>
Maintainer: Ivan Kuzmin <ivan.kuzmin@ut.ee>

Diff between gProfileR versions 0.6.2 dated 2017-12-19 and 0.6.3 dated 2018-01-30

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Package crypto updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-14

Title: Cryptocurrency Market Data
Description: Retrieves all the daily open, high, low and close values for all crypto currencies. This retrieves the historical market data by web scraping tables provided by 'Cryptocurrency Market Capitalizations' <https://coinmarketcap.com>.
Author: Jesse Vent [aut, cre]
Maintainer: Jesse Vent <jesse@solutiondesign.io>

Diff between crypto versions 0.1.0 dated 2018-01-14 and 0.1.1 dated 2018-01-30

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New package asciiruler with initial version 0.2
Package: asciiruler
Type: Package
Title: Render an ASCII Ruler
Version: 0.2
Date: 2018-01-29
Author: Jeremy Leipzig <leipzig@gmail.com>
Maintainer: Jeremy Leipzig <leipzig@gmail.com>
Description: An ASCII ruler is for measuring text and is especially useful for sequence analysis. Included in this package are methods to create ASCII rulers and associated GenBank sequence blocks, multi-column text displays that make it easy for viewers to locate nucleotides by position.
License: GPL-3 | file LICENSE
Depends: R (>= 2.14)
Imports: stringr
Collate: 'asciiruler.R'
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-01-30 15:15:42 UTC; leipzig
Repository: CRAN
Date/Publication: 2018-01-30 16:53:24 UTC

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Package rvalues (with last version 0.6) was removed from CRAN

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

2015-12-30 0.6
2015-01-28 0.3
2014-07-24 0.2

Permanent link
Package adaptDA (with last version 1.0) was removed from CRAN

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

2014-09-17 1.0

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Package tibbletime updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-02

Title: Time Aware Tibbles
Description: Built on top of the 'tibble' package, 'tibbletime' is an extension that allows for the creation of time aware tibbles. Some immediate advantages of this include: the ability to perform time-based subsetting on tibbles, quickly summarising and aggregating results by time periods, and creating columns that can be used as 'dplyr' time-based groups.
Author: Davis Vaughan [aut, cre], Matt Dancho [aut]
Maintainer: Davis Vaughan <dvaughan@business-science.io>

Diff between tibbletime versions 0.1.0 dated 2018-01-02 and 0.1.1 dated 2018-01-30

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Package ABPS updated to version 0.2 with previous version 0.1 dated 2017-12-19

Title: The Abnormal Blood Profile Score to Detect Blood Doping
Description: An implementation of the Abnormal Blood Profile Score (ABPS, part of the Athlete Biological Passport program of the World Anti-Doping Agency), which combines several blood parameters into a single score in order to detect blood doping (Sottas et al. (2006) <doi:10.2202/1557-4679.1011>). The package also contains functions to calculate other scores used in anti-doping programs, such as the OFF-score (Gore et al. (2003) <http://www.haematologica.org/content/88/3/333>), as well as example data.
Author: Frédéric Schütz [aut, cre], Alix Zollinger [aut]
Maintainer: Frédéric Schütz <schutz@mathgen.ch>

Diff between ABPS versions 0.1 dated 2017-12-19 and 0.2 dated 2018-01-30

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Package timereg updated to version 1.9.2 with previous version 1.9.1 dated 2017-05-21

Title: Flexible Regression Models for Survival Data
Description: Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.
Author: Thomas Scheike with contributions from Torben Martinussen, Jeremy Silver and Klaus Holst
Maintainer: Thomas Scheike <ts@biostat.ku.dk>

Diff between timereg versions 1.9.1 dated 2017-05-21 and 1.9.2 dated 2018-01-30

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New package SIRItoGTFS with initial version 0.2.1
Package: SIRItoGTFS
Type: Package
Title: Compare SIRI Datasets to GTFS Tables
Version: 0.2.1
Date: 2018-01-28
Authors@R: person("Dror", "Bogin", email = "dror.bogin@gmail.com",role = c("aut", "cre"))
Description: Allows the user to compare SIRI (Service Interface for Real Time Information) data sets to their GTFS (General Transit Feed Specification) counterparts, a "Request_id" column us needed for the SIRI data frame in order to subset parts of it for use.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: dplyr (>= 0.7.2), reshape2 (>= 1.4.2), sp (>= 1.2.5), rgdal (>= 1.2), data.table (>= 1.10.4), rgeos (>= 0.3.23), easycsv (>= 1.0.5)
URL: https://github.com/bogind/SIRItoGTFS, http://user47094.vs.easily.co.uk/siri/documentation.htm, https://developers.google.com/transit/gtfs/
BugReports: https://github.com/bogind/SIRItoGTFS/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-28 20:49:14 UTC; bogind
Author: Dror Bogin [aut, cre]
Maintainer: Dror Bogin <dror.bogin@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-30 14:03:35 UTC

More information about SIRItoGTFS at CRAN
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Package pracma updated to version 2.1.4 with previous version 2.1.1 dated 2017-11-21

Title: Practical Numerical Math Functions
Description: Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Author: Hans W. Borchers [aut, cre]
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

Diff between pracma versions 2.1.1 dated 2017-11-21 and 2.1.4 dated 2018-01-30

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Package onewaytests updated to version 1.6 with previous version 1.5 dated 2017-10-11

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests in independent groups designs, pairwise comparisons, graphical approaches, assesses variance homogeneity and normality of data in each group via tests and plots.
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between onewaytests versions 1.5 dated 2017-10-11 and 1.6 dated 2018-01-30

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Package morse updated to version 3.0.0 with previous version 2.2.0 dated 2016-06-13

Title: Modelling Tools for Reproduction and Survival Data in Ecotoxicology
Description: Tools for ecotoxicologists and regulators dedicated to the mathematical and statistical modelling of toxicity test data. They use advanced and innovative methods for a valuable quantitative environmental risk assessment.
Author: Virgile Baudrot [aut], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Wandrille Duchemin [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Ruiz [aut], Philippe Veber [aut]
Maintainer: Philippe Veber <philippe.veber@univ-lyon1.fr>

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Package mlegp updated to version 3.1.5 with previous version 3.1.4 dated 2013-12-10

Title: Maximum Likelihood Estimates of Gaussian Processes
Description: Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots. Contact the maintainer for a package version that implements sensitivity analysis functionality.
Author: Garrett M. Dancik
Maintainer: Garrett M. Dancik <dancikg@easternct.edu>

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New package iotables with initial version 0.2.4
Package: iotables
Type: Package
Title: Importing and Manipulating Symmetric Input-Output Tables
Version: 0.2.4
Author: Daniel Antal CFA
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>
Description: Pre-processing tasks related to working with Eurostat's symmetric input-output tables and provide basic input-output economics calculations. The package is a part of rOpenGov <http://ropengov.github.io/> to open source open government initiatives.
URL: https://github.com/rOpenGov/iotables
BugReports: https://github.com/rOpenGov/iotables/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: dplyr, eurostat, magrittr, tidyr, stats, forcats, utils, plyr
Suggests: testthat, knitr, rmarkdown
Depends: R(>= 2.10.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-30 14:14:40 UTC; Daniel Antal
Repository: CRAN
Date/Publication: 2018-01-30 14:31:53 UTC

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Package ggQC updated to version 0.0.2 with previous version 0.0.1 dated 2017-03-29

Title: Quality Control Charts for 'ggplot'
Description: Plot single and faceted type quality control charts for 'ggplot'.
Author: Kenith Grey
Maintainer: Kenith Grey <kenithgrey@r-bar.net>

Diff between ggQC versions 0.0.1 dated 2017-03-29 and 0.0.2 dated 2018-01-30

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New package findR with initial version 0.1.0
Package: findR
Type: Package
Title: Find R Scripts, R Markdown, PDF and Text Files by Content with Pattern Matching
Version: 0.1.0
Authors@R: person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch")
Description: Scans all directories and subdirectories of a path for R scripts, R Markdown, PDF or text files containing a specific pattern. Hits can be copied to a new folder.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: pdftools
BugReports: https://github.com/zumbov2/findR/issues
NeedsCompilation: no
Packaged: 2018-01-29 14:59:40 UTC; David Zumbach
Author: David Zumbach [aut, cre]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>
Repository: CRAN
Date/Publication: 2018-01-30 14:13:29 UTC

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New package robustBLME with initial version 0.1.3
Package: robustBLME
Type: Package
Title: Robust Bayesian Linear Mixed-Effects Models using ABC
Version: 0.1.3
Date: 2018-01-29
Maintainer: Erlis Ruli <erlisr@yahoo.it>
Authors@R: c( person("Erlis", "Ruli", email = "erlisr@yahoo.it", role = c("aut", "cre")), person("Nicola", "Sartori", role = "aut"), person("Laura", "Ventura", role = "aut"))
Description: Bayesian robust fitting of linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed by Ruli et al. (2017) <arXiv:1706.01752>.
Depends: R (>= 3.0.0), lme4 (>= 1.1.12)
Suggests: devtools
License: GPL-2
URL: https://github.com/erlisR/robustBLME
BugReports: https://github.com/erlisR/robustBLME/issues
LazyData: TRUE
Imports: Rcpp (>= 0.12.1), numDeriv, mvtnorm, utils, parallel, doParallel, foreach, iterators, stats
LinkingTo: Rcpp, RcppArmadillo
Author: Erlis Ruli [aut, cre], Nicola Sartori [aut], Laura Ventura [aut]
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-01-29 13:15:52 UTC; erlisruli
Repository: CRAN
Date/Publication: 2018-01-30 13:24:20 UTC

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New package errorist with initial version 0.0.1
Package: errorist
Title: Automatically Search Errors or Warnings
Version: 0.0.1
Authors@R: c(person("James", "Balamuta", email = "balamut2@illinois.edu", role = c("aut", "cre")))
Description: Provides environment hooks that obtain errors and warnings which occur during the execution of code to automatically search for solutions.
URL: https://github.com/coatless/errorist
BugReports: https://github.com/coatless/errorist/issues
Depends: R (>= 3.0.0)
Imports: searcher (>= 0.0.2)
Suggests: testthat, covr, knitr, rmarkdown
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-28 01:02:00 UTC; ronin
Author: James Balamuta [aut, cre]
Maintainer: James Balamuta <balamut2@illinois.edu>
Repository: CRAN
Date/Publication: 2018-01-30 13:59:03 UTC

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Package desctable updated to version 0.1.1 with previous version 0.1.0 dated 2017-05-15

Title: Produce Descriptive and Comparative Tables Easily
Description: Easily create descriptive and comparative tables. It makes use and integrates directly with the tidyverse family of packages, and pipes. Tables are produced as data frames/lists of data frames for easy manipulation after creation, and ready to be saved as csv, or piped to DT::datatable() or pander::pander() to integrate into reports.
Author: Maxime Wack [aut, cre]
Maintainer: Maxime Wack <maximewack@free.fr>

Diff between desctable versions 0.1.0 dated 2017-05-15 and 0.1.1 dated 2018-01-30

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New package DataVisualizations with initial version 0.9.2
Package: DataVisualizations
Type: Package
Title: Visualizations of High-Dimensional Data
Version: 0.9.2
Date: 2018-01-30
Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph")),person("Felix", "Pape",role=c("aut","rev")),person("Onno", "Hansen-Goos",role=c("ctr","ctb")),person("Fredericke", "Matz",role=c("ctr","ctb")),person("Alfred", "Ultsch",role=c("dtc","ctb")))
Maintainer: Michael Thrun <m.thrun@gmx.net>
Description: Various visualizations of high-dimensional data such as heat map and silhouette plot for grouped data, visualizations of the distribution of distances, the scatter-density plot for two variables, the Shepard density plot and many more are presented here. Additionally, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through the combination of four methods. More detailed explanations can be found in the book of Thrun, M.C.:"Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
License: GPL-3
Imports: Rcpp (>= 0.12.12), AdaptGauss, ggplot2, magrittr
Suggests: plotly, plyr, akima, ggmap, reshape2
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
LazyLoad: yes
LazyData: TRUE
URL: https://www.uni-marburg.de/fb12/datenbionik/software-en
NeedsCompilation: yes
Packaged: 2018-01-30 09:16:42 UTC; MCT
Author: Michael Thrun [aut, cre, cph], Felix Pape [aut, rev], Onno Hansen-Goos [ctr, ctb], Fredericke Matz [ctr, ctb], Alfred Ultsch [dtc, ctb]
Repository: CRAN
Date/Publication: 2018-01-30 13:15:07 UTC

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New package smotefamily with initial version 1.2
Package: smotefamily
Title: A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE
Version: 1.2
Date: 2018-01-30
Authors@R: person("Wacharasak","Siriseriwan",email="wacharasak.s@gmail.com", role=c("aut","cre"))
Maintainer: Wacharasak Siriseriwan <wacharasak.s@gmail.com>
Description: A collection of various oversampling techniques developed from SMOTE is provided. SMOTE is a oversampling technique which synthesizes a new minority instance between a pair of one minority instance and one of its K nearest neighbor. (see <https://www.jair.org/media/953/live-953-2037-jair.pdf> for more information) Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.
License: GPL-2
Depends: R(>= 3.0.0)
Suggests: FNN, dbscan, igraph,
NeedsCompilation: no
Packaged: 2018-01-30 07:18:01 UTC; Wacharasak
Author: Wacharasak Siriseriwan [aut, cre]
Repository: CRAN
Date/Publication: 2018-01-30 12:55:53 UTC

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New package mr.raps with initial version 0.2
Package: mr.raps
Type: Package
Title: Two Sample Mendelian Randomization using Robust Adjusted Profile Score
Version: 0.2
Date: 2018-01-29
Authors@R: c(person("Qingyuan", "Zhao", email = "qingyzhao@gmail.com", role = c("aut", "cre")))
Description: Mendelian randomization is a method of identifying and estimating a confounded causal effect using genetic instrumental variables. This packages implements methods for two-sample Mendelian randomization with summary statistics by using Robust Adjusted Profile Score (RAPS). References: Qingyuan Zhao, Jingshu Wang, Jack Bowden, Dylan S. Small. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. <arXiv:1801.09652>.
Imports: stats, graphics, nortest
License: GPL-3
RoxygenNote: 6.0.1
LazyData: true
NeedsCompilation: no
Packaged: 2018-01-30 04:47:53 UTC; qyzhao
Author: Qingyuan Zhao [aut, cre]
Maintainer: Qingyuan Zhao <qingyzhao@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-30 12:48:29 UTC

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Package WhiteStripe updated to version 2.3.0 with previous version 2.2.2 dated 2017-03-08

Title: White Matter Normalization for Magnetic Resonance Images using WhiteStripe
Description: Shinohara (2014) <DOI:10.1016/j.nicl.2014.08.008> introduced 'WhiteStripe', an intensity-based normalization of T1 and T2 images, where normal appearing white matter performs well, but requires segmentation. This method performs white matter mean and standard deviation estimates on data that has been rigidly-registered to the 'MNI' template and uses histogram-based methods.
Author: R. Taki Shinohara, John Muschelli
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between WhiteStripe versions 2.2.2 dated 2017-03-08 and 2.3.0 dated 2018-01-30

 DESCRIPTION                       |   18 -
 MD5                               |   29 +-
 NEWS.md                           |only
 R/download_img_data.R             |   21 +-
 R/smooth_hist.R                   |    4 
 R/t1.voi.R                        |    6 
 R/whitestripe_ind.R               |  189 ++++++++++--------
 build/vignette.rds                |binary
 inst/doc/Running_WhiteStripe.html |  382 +++++++++++++++++++++++++++++---------
 man/get.deriv.smooth.hist.Rd      |    2 
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 man/t2.voi.hist.Rd                |    6 
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 man/whitestripe_hybrid.Rd         |    9 
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 man/whitestripe_norm.Rd           |    2 
 16 files changed, 489 insertions(+), 218 deletions(-)

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Package BoSSA updated to version 3.1 with previous version 3.0 dated 2017-12-06

Title: A Bunch of Structure and Sequence Analysis
Description: Reads and plots phylogenetic placements obtained using the 'epa', 'pplacer' and 'guppy' softwares.
Author: Pierre Lefeuvre
Maintainer: Pierre Lefeuvre <pierre.lefeuvre@cirad.fr>

Diff between BoSSA versions 3.0 dated 2017-12-06 and 3.1 dated 2018-01-30

 DESCRIPTION                  |   12 -
 MD5                          |   24 +--
 build/partial.rdb            |binary
 inst/doc/bossa-analysis.R    |    1 
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 inst/doc/bossa-refpkg.R      |    1 
 inst/doc/bossa-refpkg.Rmd    |   37 ++--
 inst/doc/bossa-refpkg.html   |  340 +++++++++++++++++++------------------------
 man/read_jplace.Rd           |    4 
 man/read_sqlite.Rd           |    2 
 vignettes/bossa-analysis.Rmd |   22 +-
 vignettes/bossa-refpkg.Rmd   |   37 ++--
 13 files changed, 372 insertions(+), 399 deletions(-)

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New package String2AdjMatrix with initial version 0.1.0
Package: String2AdjMatrix
Type: Package
Title: Creates an Adjacency Matrix from a List of Strings
Version: 0.1.0
Author: Tom Drake
Maintainer: Tom Drake <t.drake@ed.ac.uk>
Description: Takes a list of character strings and forms an adjacency matrix for the times the specified characters appear together in the strings provided. For use in social network analysis and data wrangling. Simple package, comprised of three functions.
License: GPL-3
Encoding: UTF-8
Depends: stringr
LazyData: true
RoxygenNote: @import stringr 6.0.1
NeedsCompilation: no
Packaged: 2018-01-29 18:52:04 UTC; tdrake
Repository: CRAN
Date/Publication: 2018-01-30 10:24:44 UTC

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New package scdensity with initial version 1.0.2
Package: scdensity
Title: Shape-Constrained Kernel Density Estimation
Version: 1.0.2
Authors@R: person(c("Mark","A."), "Wolters", email = "mark@mwolters.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7638-8222"))
Description: Implements methods for obtaining kernel density estimates subject to a variety of shape constraints (unimodality, bimodality, symmetry, tail monotonicity, bounds, and constraints on the number of inflection points). Enforcing constraints can eliminate unwanted waves or kinks in the estimate, which improves its subjective appearance and can also improve statistical performance. The main function scdensity() is very similar to the density() function in 'stats', allowing shape-restricted estimates to be obtained with little effort. The methods implemented in this package are described in Wolters and Braun (2017) <doi:10.1080/03610918.2017.1288247>, Wolters (2012) <doi:10.18637/jss.v047.i06>, and Hall and Huang (2002) <http://www3.stat.sinica.edu.tw/statistica/j12n4/j12n41/j12n41.htm>. See the scdensity() help for for full citations.
Depends: R (>= 3.3.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: testthat
Imports: quadprog, lpSolve
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-30 00:56:59 UTC; Mark
Author: Mark A. Wolters [aut, cre] (<https://orcid.org/0000-0001-7638-8222>)
Maintainer: Mark A. Wolters <mark@mwolters.com>
Repository: CRAN
Date/Publication: 2018-01-30 10:52:26 UTC

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New package RcppMovStat with initial version 1.0.2
Package: RcppMovStat
Type: Package
Title: Fast Moving Statistics Calculation
Version: 1.0.2
Date: 2018-01-24
Author: Pengfei (Leonard) Li
Maintainer: Pengfei (Leonard) Li <pli3@tulane.edu>
Description: Provides several efficient functions to calculate common moving (or rolling, running) statistics for both evenly and unevenly spaced time series: moving average, moving median, moving maximum (minimum), and so on. Built on 'C++', these functions are apparently more efficient than those written in a traditional 'R' way and also faster than others using package 'Rcpp'.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.15)
Suggests: zoo, caTools
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-01-29 20:51:50 UTC; LZQ
Repository: CRAN
Date/Publication: 2018-01-30 10:31:46 UTC

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New package gnorm with initial version 1.0.0
Package: gnorm
Version: 1.0.0
Date: 2018-01-29
Title: Generalized Normal/Exponential Power Distribution
Author: Maryclare Griffin
Maintainer: Maryclare Griffin <maryclaregriffin@gmail.com>
Suggests: knitr, rmarkdown
Description: Functions for obtaining generalized normal/exponential power distribution probabilities, quantiles, densities and random deviates. The generalized normal/exponential power distribution was introduced by Subbotin (1923) and rediscovered by Nadarajah (2005). The parametrization given by Nadarajah (2005) <doi:10.1080/02664760500079464> is used.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Type: Package
URL: http://github.com/maryclare/gnorm
NeedsCompilation: no
Packaged: 2018-01-29 23:39:28 UTC; maryclaregriffin
Repository: CRAN
Date/Publication: 2018-01-30 10:46:25 UTC

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Package spatstat.local updated to version 3.5-7 with previous version 3.5-6 dated 2017-03-30

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 3.5-6 dated 2017-03-30 and 3.5-7 dated 2018-01-30

 DESCRIPTION           |    8 ++++----
 MD5                   |    6 +++---
 man/plot.loccit.Rd    |    2 +-
 man/plot.locmincon.Rd |    2 +-
 4 files changed, 9 insertions(+), 9 deletions(-)

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New package BeSS with initial version 1.0.5
Package: BeSS
Type: Package
Title: Best Subset Selection in Linear, Logistic and CoxPH Models
Version: 1.0.5
Date: 2018-01-29
Author: Canhong Wen, Aijun Zhang, Shijie Quan, Xueqin Wang
Maintainer: Canhong Wen <wencanhong@gmail.com>
Description: An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2017) <arXiv:1709.06254>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.
License: GPL-3
Depends: R (>= 3.0.0)
Imports: Rcpp(>= 0.12.6), Matrix(>= 1.2-6), glmnet, survival
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2018-01-29 11:00:09 UTC; quanshijief
Repository: CRAN
Date/Publication: 2018-01-30 09:14:35 UTC

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Package FENmlm updated to version 2.0.1 with previous version 2.0 dated 2018-01-18

Title: Fixed Effects Nonlinear Maximum Likelihood Models
Description: Efficient estimation of multiple fixed-effects maximum likelihood models with, possibly, non-linear in parameters right hand sides. Standard-errors can easily be clustered. It also includes tools to seamlessly export (to Latex) the results of various estimations.
Author: Laurent Berge
Maintainer: Laurent Berge <laurent.berge@uni.lu>

Diff between FENmlm versions 2.0 dated 2018-01-18 and 2.0.1 dated 2018-01-30

 FENmlm-2.0.1/FENmlm/DESCRIPTION                 |    8 -
 FENmlm-2.0.1/FENmlm/MD5                         |   22 ++--
 FENmlm-2.0.1/FENmlm/R/ML_Families.R             |  110 ++++++++++++++++--------
 FENmlm-2.0.1/FENmlm/R/MiscFuns.R                |   18 ++-
 FENmlm-2.0.1/FENmlm/R/femlm.R                   |only
 FENmlm-2.0.1/FENmlm/inst/NEWS.Rd                |   12 ++
 FENmlm-2.0.1/FENmlm/man/FENmlm-package.Rd       |   16 ++-
 FENmlm-2.0.1/FENmlm/man/femlm.Rd                |   44 ++++++++-
 FENmlm-2.0.1/FENmlm/man/res2table.Rd            |    4 
 FENmlm-2.0.1/FENmlm/man/res2tex.Rd              |    4 
 FENmlm-2.0.1/FENmlm/src/RcppExports.cpp         |    4 
 FENmlm-2.0.1/FENmlm/src/Rcpp_get_derivative.cpp |  102 ++++++++++++++--------
 FENmlm-2.0/FENmlm/R/feNmlm.R                    |only
 13 files changed, 234 insertions(+), 110 deletions(-)

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