Wed, 07 Feb 2018

Package vcfR updated to version 1.7.0 with previous version 1.6.0 dated 2017-12-07

Title: Manipulate and Visualize VCF Data
Description: Facilitates easy manipulation of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices of data. This information can then be used for quality control or other purposes. Additional functions provide visualization of genomic data. Once processing is complete data may be written to a VCF file (*.vcf.gz). It also may be converted into other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between VCF data and familiar R software.
Author: Brian J. Knaus [cre, aut] (<https://orcid.org/0000-0003-1665-4343>), Niklaus J. Grunwald [aut] (<https://orcid.org/0000-0003-1656-7602>), Eric C. Anderson [ctb], David J. Winter [ctb], Zhian N. Kamvar [ctb] (<https://orcid.org/0000-0003-1458-7108>), Javier F. Tabima [ctb] (<https://orcid.org/0000-0002-3603-2691>)
Maintainer: Brian J. Knaus <briank.lists@gmail.com>

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Package LowRankQP updated to version 1.0.3 with previous version 1.0.2 dated 2012-12-06

Title: Low Rank Quadratic Programming
Description: Solves quadratic programming problems where the Hessian is represented as the product of two matrices.
Author: John T. Ormerod [aut], Matt P. Wand [aut, cre]
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>

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Package coefplot updated to version 1.2.6 with previous version 1.2.5 dated 2018-01-04

Title: Plots Coefficients from Fitted Models
Description: Plots the coefficients from model objects. This very quickly shows the user the point estimates and confidence intervals for fitted models.
Author: Jared P. Lander
Maintainer: Jared P. Lander <packages@jaredlander.com>

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Package SuperExactTest updated to version 1.0.0 with previous version 0.99.4 dated 2017-06-15

Title: Exact Test and Visualization of Multi-Set Intersections
Description: Identification of sets of objects with shared features is a common operation in all disciplines. Analysis of intersections among multiple sets is fundamental for in-depth understanding of their complex relationships. This package implements a theoretical framework for efficient computation of statistical distributions of multi-set intersections based upon combinatorial theory, and provides multiple scalable techniques for visualizing the intersection statistics. The statistical algorithm behind this package was published in Wang et al. (2015) <doi:10.1038/srep16923>.
Author: Minghui Wang, Yongzhong Zhao and Bin Zhang
Maintainer: Minghui Wang <minghui.wang@mssm.edu>

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Package TSstudio updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-03

Title: Tools for Time Series Analysis and Forecasting
Description: Provides a set of interactive visualization tools for time series analysis supporting ts, mts, zoo and xts objects. That includes visualization functions for forecasting model performance (forecasted vs. actual), time series interactive plots (single and multiple series) and seasonality plots.
Author: Rami Krispin
Maintainer: Rami Krispin <rami.krispin@gmail.com>

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Package jmotif updated to version 1.0.3 with previous version 1.0.2.900 dated 2016-06-13

Title: Time Series Analysis Toolkit Based on Symbolic Aggregate Dicretization, i.e. SAX
Description: Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>

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Package BVSNLP updated to version 0.9.10 with previous version 0.9.8 dated 2018-01-12

Title: Bayesian Variable Selection in High Dimensional Settings using Non-Local Prior
Description: Variable/Feature selection in high or ultra-high dimensional settings has gained a lot of attention recently specially in cancer genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits mixture of point masses at zero and nonlocal priors to improve the performance of variable selection and coefficient estimation. It performs variable selection for binary response and survival time response datasets which are widely used in biostatistic and bioinformatics community. Benefiting from parallel computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median Probability Model (MPM) and posterior inclusion probability for each of the covariates in the model. The option to use Bayesian Model Averaging (BMA) is also part of this package that can be exploited for predictive power measurements in real datasets.
Author: Amir Nikooienejad [aut, cre], Valen E. Johnson [ths]
Maintainer: Amir Nikooienejad <amir@stat.tamu.edu>

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

Title: Full Text of 'Scholarly' Articles Across Many Data Sources
Description: Provides a single interface to many sources of full text 'scholarly' data, including 'Biomed Central', Public Library of Science, 'Pubmed Central', 'eLife', 'F1000Research', 'PeerJ', 'Pensoft', 'Hindawi', 'arXiv' 'preprints', and more. Functionality included for searching for articles, downloading full or partial text, downloading supplementary materials, converting to various data formats.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Will Pearse [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package powerMediation updated to version 0.2.9 with previous version 0.2.8 dated 2017-09-12

Title: Power/Sample Size Calculation for Mediation Analysis
Description: Functions to calculate power and sample size for testing (1) mediation effects; (2) the slope in a simple linear regression; (3) odds ratio in a simple logistic regression; (4) mean change for longitudinal study with 2 time points; (5) interaction effect in 2-way ANOVA; and (6) the slope in a simple Poisson regression.
Author: Weiliang Qiu <stwxq@channing.harvard.edu>
Maintainer: Weiliang Qiu <stwxq@channing.harvard.edu>

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Package LEGIT updated to version 1.2.1 with previous version 1.2.0 dated 2017-12-08

Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score) using the alternating optimization algorithm by Jolicoeur-Martineau et al. (2017) <arXiv:1703.08111>. This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Although this approach was originally made for GxE modelling, it is flexible and does not require the use of genetic and environmental variables. It can also handle more than 2 latent variables (rather than just G and E) and 3-way interactions or more. The LEGIT model produces highly interpretable results and is very parameter-efficient thus it can even be used with small sample sizes (n < 250). Tools to determine the type of interaction (vantage sensitivity, diathesis-stress or differential susceptibility), with any number of genetic variants or environments, are available <arXiv:1712.04058>.
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>

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Package divest updated to version 0.5.0 with previous version 0.4.1 dated 2017-06-02

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to convert DICOM-format files to NIfTI-1 format.
Author: Jon Clayden [aut, cre], Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package VGAM updated to version 1.0-5 with previous version 1.0-4 dated 2017-07-25

Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.
Author: Thomas W. Yee <t.yee@auckland.ac.nz>
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

Diff between VGAM versions 1.0-4 dated 2017-07-25 and 1.0-5 dated 2018-02-07

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More information about VGAM at CRAN
Permanent link

Package shape updated to version 1.4.4 with previous version 1.4.3 dated 2017-08-16

Title: Functions for Plotting Graphical Shapes, Colors
Description: Functions for plotting graphical shapes such as ellipses, circles, cylinders, arrows, ...
Author: Karline Soetaert <karline.soetaert@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between shape versions 1.4.3 dated 2017-08-16 and 1.4.4 dated 2018-02-07

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More information about shape at CRAN
Permanent link

Package rmcfs updated to version 1.2.9 with previous version 1.2.8 dated 2017-12-11

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, A.Rada-Iglesias, S.Enroth, C.Wadelius, J. Koronacki, J.Komorowski (2008) <doi:10.1093/bioinformatics/btm486>.
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <michal.draminski@ipipan.waw.pl>

Diff between rmcfs versions 1.2.8 dated 2017-12-11 and 1.2.9 dated 2018-02-07

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Package RcppEigen updated to version 0.3.3.4.0 with previous version 0.3.3.3.1 dated 2017-11-19

Title: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Description: R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library (currently version 3.3.4). Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppEigen versions 0.3.3.3.1 dated 2017-11-19 and 0.3.3.4.0 dated 2018-02-07

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 inst/include/Eigen/QR                                                     |    4 
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 inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h             |   11 
 inst/include/Eigen/src/Core/products/TriangularMatrixMatrix_BLAS.h        |   39 +
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 inst/include/Eigen/src/Core/util/DisableStupidWarnings.h                  |   24 -
 inst/include/Eigen/src/Core/util/MKL_support.h                            |   10 
 inst/include/Eigen/src/Core/util/Macros.h                                 |   11 
 inst/include/Eigen/src/Core/util/Memory.h                                 |   12 
 inst/include/Eigen/src/Core/util/StaticAssert.h                           |  116 ++--
 inst/include/Eigen/src/Geometry/AngleAxis.h                               |    2 
 inst/include/Eigen/src/Geometry/Quaternion.h                              |   39 -
 inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h                       |   60 +-
 inst/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h      |   27 -
 inst/include/Eigen/src/Jacobi/Jacobi.h                                    |  238 +++++-----
 inst/include/Eigen/src/OrderingMethods/Eigen_Colamd.h                     |    2 
 inst/include/Eigen/src/PaStiXSupport/PaStiXSupport.h                      |    8 
 inst/include/Eigen/src/QR/ColPivHouseholderQR.h                           |   12 
 inst/include/Eigen/src/SVD/BDCSVD.h                                       |  114 ++--
 inst/include/Eigen/src/SVD/JacobiSVD_LAPACKE.h                            |    5 
 inst/include/Eigen/src/SVD/UpperBidiagonalization.h                       |    4 
 inst/include/Eigen/src/SparseCore/AmbiVector.h                            |    2 
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 inst/include/unsupported/Eigen/CXX11/src/Tensor/README.md                 |    6 
 inst/include/unsupported/Eigen/src/AutoDiff/AutoDiffScalar.h              |   11 
 inst/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h    |   41 +
 inst/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h       |   11 
 inst/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h      |    2 
 83 files changed, 1173 insertions(+), 804 deletions(-)

More information about RcppEigen at CRAN
Permanent link

Package powerSurvEpi updated to version 0.1.0 with previous version 0.0.9 dated 2015-07-24

Title: Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies
Description: Functions to calculate power and sample size for testing main effect or interaction effect in the survival analysis of epidemiological studies (non-randomized studies), taking into account the correlation between the covariate of the interest and other covariates. Some calculations also take into account the competing risks and stratified analysis. This package also includes a set of functions to calculate power and sample size for testing main effect in the survival analysis of randomized clinical trials.
Author: Weiliang Qiu <stwxq@channing.harvard.edu>, Jorge Chavarro <JCHAVARR@hsph.harvard.edu>, Ross Lazarus <ross.lazarus@channing.harvard.edu>, Bernard Rosner <stbar@channing.harvard.edu>, Jing Ma <jing.ma@channing.harvard.edu>.
Maintainer: Weiliang Qiu <stwxq@channing.harvard.edu>

Diff between powerSurvEpi versions 0.0.9 dated 2015-07-24 and 0.1.0 dated 2018-02-07

 powerSurvEpi-0.0.9/powerSurvEpi/INDEX                   |only
 powerSurvEpi-0.1.0/powerSurvEpi/DESCRIPTION             |    8 +++---
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 powerSurvEpi-0.1.0/powerSurvEpi/NEWS                    |    5 ++++
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 powerSurvEpi-0.1.0/powerSurvEpi/man/ssizeEpi.Rd         |    4 +--
 powerSurvEpi-0.1.0/powerSurvEpi/man/ssizeEpi.default.Rd |    4 +--
 11 files changed, 30 insertions(+), 26 deletions(-)

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Package microseq updated to version 1.2.1 with previous version 1.2 dated 2017-01-13

Title: Basic Biological Sequence Handling
Description: Basic functions for microbial sequence data analysis. The idea is to use the basic R data structures as much as possible, without building complex data types.
Author: Lars Snipen, Kristian Hovde Liland
Maintainer: Lars Snipen <lars.snipen@nmbu.no>

Diff between microseq versions 1.2 dated 2017-01-13 and 1.2.1 dated 2018-02-07

 microseq-1.2.1/microseq/DESCRIPTION                      |   20 
 microseq-1.2.1/microseq/MD5                              |   66 
 microseq-1.2.1/microseq/NAMESPACE                        |    3 
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 microseq-1.2.1/microseq/R/fastq.R                        |   20 
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 microseq-1.2.1/microseq/R/utilityfun.R                   |    6 
 microseq-1.2.1/microseq/inst/doc/vignette.pdf            |binary
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 microseq-1.2.1/microseq/inst/extdata/small.fasta         |   42 
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 38 files changed, 11034 insertions(+), 10937 deletions(-)

More information about microseq at CRAN
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New package funbarRF with initial version 1.0.1
Package: funbarRF
Type: Package
Title: Fungal Species Identification using DNA Barcode with Random Forest
Version: 1.0.1
Date: 2018-01-29
Author: P K Meher <meherprabin@yahoo.com>
Maintainer: P K Meher <meherprabin@yahoo.com>
Depends: R(>= 3.3.0)
Imports: bold, randomForest, Biostrings, BioSeqClass
LazyData: TRUE
Description: A machine learning based approach for fungal species identification using barcode sequence data. The multi-class random forest model has been used for prediction purpose, where the gap-pair compositional feature was used to encode the barcode sequence data. The encoded dataset was used as input for prediction purpose. Though this approach has been developed for fungal species identification in particular, can be used for other species identification as well.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-02-06 12:32:25 UTC; USER
Repository: CRAN
Date/Publication: 2018-02-07 16:19:01 UTC

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Package DDD updated to version 3.6 with previous version 3.5 dated 2017-10-01

Title: Diversity-Dependent Diversification
Description: Implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574> and Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565>. Also contains functions to simulate the diversity-dependent process.
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between DDD versions 3.5 dated 2017-10-01 and 3.6 dated 2018-02-07

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 man/DDD-package.Rd  |    7 +++++--
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 8 files changed, 67 insertions(+), 30 deletions(-)

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Package actuar updated to version 2.3-0 with previous version 2.2-0 dated 2018-01-07

Title: Actuarial Functions and Heavy Tailed Distributions
Description: Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probability distributions to model insurance loss amounts and loss frequency: 19 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. Support for phase-type distributions commonly used to compute ruin probabilities.
Author: Vincent Goulet [cre, aut], Sébastien Auclair [ctb], Christophe Dutang [aut], Xavier Milhaud [ctb], Tommy Ouellet [ctb], Alexandre Parent [ctb], Mathieu Pigeon [aut], Louis-Philippe Pouliot [ctb]
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

Diff between actuar versions 2.2-0 dated 2018-01-07 and 2.3-0 dated 2018-02-07

 actuar-2.2-0/actuar/vignettes/auto                          |only
 actuar-2.3-0/actuar/DESCRIPTION                             |   18 
 actuar-2.3-0/actuar/MD5                                     |  317 +++++-------
 actuar-2.3-0/actuar/NAMESPACE                               |    1 
 actuar-2.3-0/actuar/R/BetaMoments.R                         |    2 
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 actuar-2.3-0/actuar/R/CTE.R                                 |    2 
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 actuar-2.3-0/actuar/R/PhaseType.R                           |    2 
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 actuar-2.3-0/actuar/R/cm.R                                  |   96 ++-
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 actuar-2.3-0/actuar/R/elev.R                                |    2 
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 actuar-2.3-0/actuar/R/mde.R                                 |    2 
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 actuar-2.3-0/actuar/R/unroll.R                              |    2 
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 actuar-2.3-0/actuar/po/fr.po                                |   36 -
 actuar-2.3-0/actuar/src/beta.c                              |    2 
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 actuar-2.3-0/actuar/src/dpq.h                               |    2 
 actuar-2.3-0/actuar/src/dpqphtype.c                         |    2 
 actuar-2.3-0/actuar/src/exp.c                               |    2 
 actuar-2.3-0/actuar/src/gamma.c                             |    2 
 actuar-2.3-0/actuar/src/genbeta.c                           |    2 
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 actuar-2.3-0/actuar/src/gumbel.c                            |    2 
 actuar-2.3-0/actuar/src/hierarc.c                           |    2 
 actuar-2.3-0/actuar/src/invburr.c                           |    2 
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 actuar-2.3-0/actuar/src/invpareto.c                         |    2 
 actuar-2.3-0/actuar/src/invtrgamma.c                        |    2 
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 actuar-2.3-0/actuar/src/lgamma.c                            |    2 
 actuar-2.3-0/actuar/src/llogis.c                            |    2 
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 actuar-2.3-0/actuar/src/names.c                             |    2 
 actuar-2.3-0/actuar/src/norm.c                              |    2 
 actuar-2.3-0/actuar/src/panjer.c                            |    2 
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 actuar-2.3-0/actuar/src/random.c                            |    2 
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 actuar-2.3-0/actuar/src/trbeta.c                            |    2 
 actuar-2.3-0/actuar/src/trgamma.c                           |    2 
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 actuar-2.3-0/actuar/src/zmbinom.c                           |    2 
 actuar-2.3-0/actuar/src/zmgeom.c                            |    2 
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 actuar-2.3-0/actuar/src/ztpois.c                            |    2 
 actuar-2.3-0/actuar/vignettes/credibility.Rnw               |  238 ++++++---
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 158 files changed, 1027 insertions(+), 620 deletions(-)

More information about actuar at CRAN
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Package valuer updated to version 1.1.2 with previous version 1.1.1 dated 2017-01-03

Title: Pricing of Variable Annuities
Description: Pricing of variable annuity life insurance contracts by means of Monte Carlo methods. Monte Carlo is used to price the contract in case the policyholder cannot surrender while Least Squares Monte Carlo is used if the insured can surrender. This package implements the pricing framework and algorithm described in Bacinello et al. (2011) <doi:10.1016/j.insmatheco.2011.05.003>. It also implements the state-dependent fee structure discussed in Bernard et al. (2014) <doi:10.1017/asb.2014.13> as well as a function which prices the contract by resolving the partial differential equation described in MacKay et al. (2017) <doi:10.1111/jori.12094>.
Author: Ivan Zoccolan [aut, cre]
Maintainer: Ivan Zoccolan <ivan.zoccolan@gmail.com>

Diff between valuer versions 1.1.1 dated 2017-01-03 and 1.1.2 dated 2018-02-07

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More information about valuer at CRAN
Permanent link

Package PTXQC updated to version 0.92.3 with previous version 0.92.0 dated 2017-10-13

Title: Quality Report Generation for MaxQuant Results
Description: Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (see <http://www.maxquant.org>). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.
Author: Chris Bielow <chris.bielow@fu-berlin.de>
Maintainer: Chris Bielow <chris.bielow@fu-berlin.de>

Diff between PTXQC versions 0.92.0 dated 2017-10-13 and 0.92.3 dated 2018-02-07

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 PTXQC-0.92.3/PTXQC/MD5                                                            |  268 ++---
 PTXQC-0.92.3/PTXQC/NEWS                                                           |   11 
 PTXQC-0.92.3/PTXQC/R/MQDataReader.R                                               |   19 
 PTXQC-0.92.3/PTXQC/R/fcn_MQ.R                                                     |    2 
 PTXQC-0.92.3/PTXQC/R/fcn_QCHeat.R                                                 |    9 
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 PTXQC-0.92.3/PTXQC/R/qcMetric_PG.R                                                |   12 
 PTXQC-0.92.3/PTXQC/README.md                                                      |   17 
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 PTXQC-0.92.3/PTXQC/man/grepv.Rd                                                   |    1 
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 PTXQC-0.92.3/PTXQC/man/pasten.Rd                                                  |    1 
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More information about PTXQC at CRAN
Permanent link

Package nlmixr updated to version 0.9.0-3 with previous version 0.9.0-1 dated 2017-11-09

Title: Nonlinear Mixed Effects Models in Population Pharmacokinetics and Pharmacodynamics
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut], Yuan Xiong [aut], Rik Schoemaker [aut], Justin Wilkins [aut], Mirjam Trame [aut], Teun Post [aut], Robert Leary [ctb], Wenping Wang [aut, cre], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], David Ardia [cph], Katharine Mullen [cph], Sylvan Elhay [cph], Jaroslav Kautsky [cph], John Burkardt [cph], Shanjie Zhang [cph], Jianming Jin [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>

Diff between nlmixr versions 0.9.0-1 dated 2017-11-09 and 0.9.0-3 dated 2018-02-07

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 MD5                                                        |  351 
 NAMESPACE                                                  |  384 -
 R/RcppExports.R                                            |  274 
 R/bounds.R                                                 | 1576 ++--
 R/focei.R                                                  |  922 +-
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 R/nlme_fit.R                                               |  122 
 R/nlme_fit_gen.R                                           |   56 
 R/nlmixr.R                                                 |   81 
 R/saem_fit.R                                               |   60 
 R/ui.R                                                     | 2934 ++++---
 R/utils.R                                                  |   27 
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 R/vpc.R                                                    |    2 
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 man/print.dyn.ID.Rd                                        |   32 
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 src/Makevars                                               |    5 
 src/RcppExportMod.cpp                                      |    2 
 src/RcppExports.cpp                                        |    3 
 src/chkSolved.c                                            |   38 
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 tests/testthat/test-ui-bad-models.R                        |  430 -
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More information about nlmixr at CRAN
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Package netgwas updated to version 0.1.3.1 with previous version 0.1.3.0 dated 2018-02-07

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on undirected graphical models for accomplishing three important and interrelated goals in genetics: (1) linkage map construction, (2) reconstructing intra- and inter-chromosomal conditional interactions (linkage disequilibrium) networks, and (3) exploring high-dimensional genotype-phenotype network and genotype-phenotype-environment interactions network. For this purpose, we use conditional (in)dependence relationships between variables. The netgwas package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The package is implemented the recent developments in Behrouzi and Wit (2017) <arXiv:1710.00894> and Behrouzi and Wit (2017) <arXiv:1710.01063> .
Author: Pariya Behrouzi and Ernst C. Wit
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

Diff between netgwas versions 0.1.3.0 dated 2018-02-07 and 0.1.3.1 dated 2018-02-07

 DESCRIPTION |    8 ++++----
 MD5         |    2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

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New package WindCurves with initial version 0.1.3
Package: WindCurves
Type: Package
Title: Tool to Fit Wind Turbine Power Curves
Version: 0.1.3
Author: Neeraj Bokde, Andres Feijoo
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>
Description: Provides a tool to fit and compare the wind turbine power curves with successful curve fitting techniques. Facilitates to examine and compare the performance of a user-defined power curve fitting techniques. Also, provide features to generate power curve discrete points from a graphical power curves. Data on the power curves of the wind turbine from major manufacturers are provided.
Imports: methods, readbitmap, grid, drc, imputeTestbench
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-02-07 06:18:14 UTC; Neeraj
Repository: CRAN
Date/Publication: 2018-02-07 14:08:04 UTC

More information about WindCurves at CRAN
Permanent link

Package netgwas updated to version 0.1.3.0 with previous version 0.1.2.0 dated 2018-01-12

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on undirected graphical models for accomplishing three important and interrelated goals in genetics: (1) linkage map construction, (2) reconstructing intra- and inter-chromosomal conditional interactions (linkage disequilibrium) networks, and (3) exploring high-dimensional genotype-phenotype network and genotype-phenotype-environment interactions network. For this purpose, we use conditional (in)dependence relationships between variables. The netgwas package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The package is implemented the recent developments in Behrouzi and Wit (2017) <arXiv:1710.00894> and Behrouzi and Wit (2017) <arXiv:1710.01063> .
Author: Pariya Behrouzi and Ernst C. Wit
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

Diff between netgwas versions 0.1.2.0 dated 2018-01-12 and 0.1.3.0 dated 2018-02-07

 DESCRIPTION        |    6 +++---
 MD5                |   14 +++++++++-----
 R/netmap.R         |    8 ++++----
 data/bp.RData      |only
 data/hdl.RData     |only
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 10 files changed, 21 insertions(+), 37 deletions(-)

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New package filelock with initial version 1.0.1
Package: filelock
Title: Portable File Locking
Version: 1.0.1
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Description: Place an exclusive or shared lock on a file. It uses 'LockFile' on Windows and 'fcntl' locks on Unix-like systems.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/r-lib/filelock#readme
BugReports: https://github.com/r-lib/filelock/issues
RoxygenNote: 6.0.1.9000
Suggests: callr (>= 2.0.0), covr, testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2018-02-07 00:31:31 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2018-02-07 14:28:55 UTC

More information about filelock at CRAN
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Package udpipe updated to version 0.4 with previous version 0.3 dated 2018-01-15

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <http://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [cph], Jana Straková [cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between udpipe versions 0.3 dated 2018-01-15 and 0.4 dated 2018-02-07

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 udpipe-0.4/udpipe/DESCRIPTION                                           |    8 
 udpipe-0.4/udpipe/MD5                                                   |   70 +++--
 udpipe-0.4/udpipe/NAMESPACE                                             |   14 +
 udpipe-0.4/udpipe/NEWS.md                                               |   15 +
 udpipe-0.4/udpipe/R/nlp_collocation.R                                   |   21 +
 udpipe-0.4/udpipe/R/nlp_cooccurrence.R                                  |  111 +++++++-
 udpipe-0.4/udpipe/R/nlp_flow.R                                          |   87 ++++++-
 udpipe-0.4/udpipe/R/nlp_phrase_sequences.R                              |   43 ++-
 udpipe-0.4/udpipe/R/nlp_rake.R                                          |only
 udpipe-0.4/udpipe/R/pkg.R                                               |    4 
 udpipe-0.4/udpipe/R/topicmodels.R                                       |    1 
 udpipe-0.4/udpipe/R/udpipe_parse.R                                      |   11 
 udpipe-0.4/udpipe/R/udpipe_train.R                                      |  124 ++++++++++
 udpipe-0.4/udpipe/README.md                                             |    1 
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 udpipe-0.4/udpipe/man/document_term_matrix.Rd                           |    2 
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 45 files changed, 537 insertions(+), 128 deletions(-)

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New package tstools with initial version 0.3.5.1
Package: tstools
Type: Package
Version: 0.3.5.1
Title: A Time Series Toolbox for Official Statistics
Description: Plot official statistics' time series conveniently: automatic legends, highlight windows, stacked bar chars with positive and negative contributions, sum-as-line option, two y-axes with automatic horizontal grids that fit both axes and other popular chart types. 'tstools' comes with a plethora of defaults to let you plot without setting an abundance of parameters first, but gives you the flexibility to tweak the defaults. In addition to charts, 'tstools' provides a super fast, 'data.table' backed time series I/O that allows the user to export / import long format, wide format and transposed wide format data to various file types.
Authors@R: c( person("Matthias", "Bannert", , "bannert@kof.ethz.ch", c("aut", "cre")), person("Severin", "Thoeni", , "thoenis@kof.ethz.ch", "aut"))
Depends: R (>= 3.0.0), zoo (>= 1.7-12),
Imports: xts, stats, graphics, jsonlite, data.table,
Suggests: knitr, rmarkdown, testthat, reshape2, openxlsx
VignetteBuilder: knitr
Date: 2018-02-06
URL: https://github.com/mbannert/tstools
BugReports: https://github.com/mbannert/tstools/issues
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-06 19:33:48 UTC; mbannert
Author: Matthias Bannert [aut, cre], Severin Thoeni [aut]
Maintainer: Matthias Bannert <bannert@kof.ethz.ch>
Repository: CRAN
Date/Publication: 2018-02-07 13:08:21 UTC

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New package Rprofet with initial version 1.1.0
Package: Rprofet
Type: Package
Title: WOE Transformation and Scorecard Builder
Version: 1.1.0
Authors@R: c( person("Thomas", "Brandenburger", email = "thomas.brandenburger@sdstate.edu", role = "cre"), person("Eric", "Stratman", email = "eric.stratman@sdstate.edu", role = "aut"), person("Riaz", "Khan", email = "mdriazahmed.khan@jacks.sdstate.edu", role = "aut"), person("Allison", "Lempola", email = "ally@rprofet.com", role = "aut"))
Maintainer: Thomas Brandenburger <thomas.brandenburger@sdstate.edu>
Description: Performs all steps in the credit scoring process. This package allows the user to follow all the necessary steps for building an effective scorecard. It provides the user functions for coarse binning of variables, Weights of Evidence (WOE) transformation, variable clustering, custom binning, visualization, and scaling of logistic regression coefficients. The results will generate a scorecard that can be used as an effective credit scoring tool to evaluate risk. For complete details on the credit scoring process, see Siddiqi (2005, ISBN:047175451X).
License: GPL-3
Imports: binr, ClustOfVar, ggplot2, gridExtra, plyr, sqldf
Suggests: ISLR, MASS
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-06 20:53:46 UTC; stratman252
Author: Thomas Brandenburger [cre], Eric Stratman [aut], Riaz Khan [aut], Allison Lempola [aut]
Repository: CRAN
Date/Publication: 2018-02-07 13:53:21 UTC

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New package rosqp with initial version 0.1.0
Package: rosqp
Type: Package
Title: Quadratic Programming Solver using the 'OSQP' Library
Version: 0.1.0
Date: 2018-01-19
Authors@R: c(person("Eric", "Anderson", email="anderic1@gmx.com", role=c("aut", "cre")), person("Bartolomeo", "Stellato", role = c("ctb", "cph"), comment="OSQP"), person("Goran", "Banjac", role = c("ctb", "cph"), comment="OSQP"), person("Paul", "Goulart", role = c("ctb", "cph"), comment="OSQP"), person("Stephen", "Boyd", role = c("ctb", "cph"), comment="OSQP"), person("Patrick R.", "Amestoy", role = c("ctb", "cph"), comment="SuiteSparse AMD"), person("Iain S.", "Duff", role = c("ctb", "cph"), comment="SuiteSparse AMD"), person("Timothy A.", "Davis", role = c("ctb", "cph"), comment=c("SuiteSparse LDL", "SuiteSparse AMD")), person("John K.", "Reid", role = c("ctb", "cph"), comment=c("SuiteSparse AMD")))
Copyright: file COPYRIGHT
Description: Provides bindings to the 'OSQP' solver, which can solve sparse convex quadratic programming problems with optional equality and inequality constraints.
License: Apache License 2.0
Imports: Rcpp (>= 0.12.14), methods, Matrix, R6
LinkingTo: Rcpp
RoxygenNote: 6.0.1
Collate: 'RcppExports.R' 'rosqp-package.R' 'solve.R' 'osqp.R' 'params.R'
NeedsCompilation: yes
Packaged: 2018-02-06 20:32:49 UTC; hh
Author: Eric Anderson [aut, cre], Bartolomeo Stellato [ctb, cph] (OSQP), Goran Banjac [ctb, cph] (OSQP), Paul Goulart [ctb, cph] (OSQP), Stephen Boyd [ctb, cph] (OSQP), Patrick R. Amestoy [ctb, cph] (SuiteSparse AMD), Iain S. Duff [ctb, cph] (SuiteSparse AMD), Timothy A. Davis [ctb, cph] (SuiteSparse LDL, SuiteSparse AMD), John K. Reid [ctb, cph] (SuiteSparse AMD)
Maintainer: Eric Anderson <anderic1@gmx.com>
Repository: CRAN
Date/Publication: 2018-02-07 13:10:50 UTC

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New package Phase123 with initial version 1.2
Package: Phase123
Type: Package
Title: Simulating and Conducting Phase 123 Trials
Version: 1.2
Date: 2018-01-31
Author: Andrew G Chapple
Maintainer: Andrew Chapple <andrew.g.chapple@rice.edu>
Description: Contains three simulation functions for implementing the entire Phase 123 trial and the separate Eff-Tox and Phase 3 portions of the trial, which may be beneficial for use on clusters. The functions AssignEffTox() and RandomizeEffTox() assign doses to patient cohorts during phase 12 and Reoptimize() determines the optimal dose to continue with during Phase 3. The functions ReturnMeansAgent() and ReturnMeanControl() gives the true mean survival for the agent doses and control and ReturnOCS() gives the operating characteristics of the design.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.9),survival, stats
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-02-06 19:23:05 UTC; Andrew
Repository: CRAN
Date/Publication: 2018-02-07 13:02:41 UTC

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New package lutz with initial version 0.1.0
Package: lutz
Type: Package
Title: Look Up Time Zones of Point Coordinates
Version: 0.1.0
Date: 2018-02-05
Authors@R: person("Andy", "Teucher", email = "andy.teucher@gmail.com", role = c("aut", "cre"))
Description: Look up time zones. Input latitude and longitude values or an 'sf/sfc' POINT object and get back the timezone in which they exist. This package uses the 'V8' package to access the 'tz-lookup.js' 'Javascript' library (<https://github.com/darkskyapp/tz-lookup/>).
License: MIT + file LICENSE
URL: https://github.com/ateucher/lutz
BugReports: https://github.com/ateucher/lutz/issues
Imports: V8 (>= 1.5)
Suggests: testthat, sf (>= 0.5), sp, rgdal, datasets, covr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-06 23:28:44 UTC; ateucher
Author: Andy Teucher [aut, cre]
Maintainer: Andy Teucher <andy.teucher@gmail.com>
Repository: CRAN
Date/Publication: 2018-02-07 13:41:25 UTC

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New package glmtlp with initial version 1.1
Package: glmtlp
Type: Package
Title: Truncated Lasso Regularized Generalized Linear Models
Version: 1.1
Date: 2018-02-05
Author: Chong Wu and Wei Pan
Maintainer: Chong Wu <wuxx0845@umn.edu>
Description: It provides an extremely efficient procedure for fitting the entire truncated lasso regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. The algorithm uses the difference of convex technique. The detail of the algorithm is described in Shen, Pan and Zhu (2012) <doi:10.1080/01621459.2011.645783>. The package is inherited from a popular R package 'glmnet' and many functions in 'glmnet' can be directly used in 'glmtlp'. You can learn more details by the online manual (<http://wuchong.org/glmtlp.html>).
License: GPL-2
Depends: R (>= 3.1.1), glmnet
NeedsCompilation: no
Packaged: 2018-02-07 03:25:58 UTC; uniquechong
Repository: CRAN
Date/Publication: 2018-02-07 13:50:51 UTC

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Package rAmCharts updated to version 2.1.6 with previous version 2.1.5 dated 2017-06-30

Title: JavaScript Charts Tool
Description: Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <http://datastorm- open.github.io/introduction_ramcharts/> and <http://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <http://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <http://www.amcharts.com/about/> for more information about 'AmCharts' company.
Author: Benoit Thieurmel [aut, cre], Antanas Marcelionis [aut, cph] ('AmCharts' library in th directory htmlwidgets/lib/amcharts, refer to http://www.amcharts.com/), Jeffery Petit [aut, ctb], Elena Salette [aut, ctb], Titouan Robert [aut, ctb]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between rAmCharts versions 2.1.5 dated 2017-06-30 and 2.1.6 dated 2018-02-07

 DESCRIPTION                                                            |   43 
 MD5                                                                    |  615 +--
 NAMESPACE                                                              |  436 +-
 R/base_data.R                                                          |  470 +-
 R/base_startupMessage.R                                                |   10 
 R/chart_amBarplot.R                                                    |  530 +-
 R/chart_amBoxplot.R                                                    |  982 ++---
 R/chart_amBullet.R                                                     |  252 -
 R/chart_amCandlestick.R                                                |  284 -
 R/chart_amDataset.R                                                    |  356 -
 R/chart_amFloatingBar.R                                                |  474 +-
 R/chart_amFunnel.R                                                     |  218 -
 R/chart_amGauge.R                                                      |  552 +-
 R/chart_amHist.R                                                       |  308 -
 R/chart_amMekko.R                                                      |  206 -
 R/chart_amOHLC.R                                                       |  240 -
 R/chart_amPie.R                                                        |  172 
 R/chart_amPlot.R                                                       | 1450 +++----
 R/chart_amRadar.R                                                      |  264 -
 R/chart_amTimeSeries.R                                                 | 1030 ++---
 R/chart_amWaterfall.R                                                  |  336 -
 R/chart_amWind.R                                                       |  260 -
 R/classUnions.R                                                        |  118 
 R/class_AmBalloon.R                                                    |  348 -
 R/class_AmChart.R                                                      |  498 +-
 R/class_AmChart_constructors.R                                         |  368 -
 R/class_AmChart_setters.R                                              | 1898 +++++-----
 R/class_AmChart_shinyUtils.R                                           |  116 
 R/class_AmGraph.R                                                      |  426 +-
 R/class_AmLegend.R                                                     |  222 -
 R/class_AmObject.R                                                     |  438 +-
 R/class_AmStockChart.R                                                 |  384 +-
 R/class_AmStockChart_setters.R                                         |  792 ++--
 R/class_AxisBase.R                                                     |   40 
 R/class_AxisBase_setters.R                                             |   64 
 R/class_CategoryAxis.R                                                 |  192 -
 R/class_ChartCursor.R                                                  |  180 
 R/class_ChartCursor_setters.R                                          |   98 
 R/class_ChartScrollbar.R                                               |  180 
 R/class_ChartScrollbar_setters.R                                       |  108 
 R/class_DataSet.R                                                      |  204 -
 R/class_DataSetSelector.R                                              |  174 
 R/class_DataSet_setters.R                                              |  186 
 R/class_GaugeArrow.R                                                   |  138 
 R/class_GaugeArrow_setters.R                                           |   74 
 R/class_GaugeAxis.R                                                    |  138 
 R/class_GaugeAxis_setters.R                                            |  106 
 R/class_GaugeBand.R                                                    |  168 
 R/class_Guide.R                                                        |  190 -
 R/class_Guide_setters.R                                                |   84 
 R/class_Label.R                                                        |  330 -
 R/class_PeriodSelector.R                                               |  172 
 R/class_StockEvent.R                                                   |  132 
 R/class_StockEvent_setters.R                                           |   66 
 R/class_StockPanel.R                                                   |  412 +-
 R/class_StockPanel_setters.R                                           |  212 -
 R/class_Title.R                                                        |  218 -
 R/class_TrendLine.R                                                    |  222 -
 R/class_TrendLine_setters.R                                            |  260 -
 R/class_ValueAxis.R                                                    |  184 
 R/shiny_examples.R                                                     |   54 
 R/shiny_modules_export.R                                               |  646 +--
 R/shiny_modules_timeSeries.R                                           | 1582 ++++----
 R/union_AmCharts.R                                                     | 1242 +++---
 R/utils.R                                                              |  148 
 R/utils_amOptions.R                                                    |  590 +--
 R/utils_amTests.R                                                      |  326 -
 R/utils_basicClassUnions.R                                             |    8 
 R/utils_sharedGenerics.R                                               |  154 
 inst/NOTICE.Rmd                                                        |  210 -
 inst/conf.yaml                                                         |   74 
 inst/htmlwidgets/amDrillChart.js                                       |  278 -
 inst/htmlwidgets/amDrillChart.yaml                                     |   70 
 inst/htmlwidgets/lib/amcharts.js                                       |  790 ++--
 inst/htmlwidgets/lib/amstock.js                                        |  210 -
 inst/htmlwidgets/lib/funnel.js                                         |   68 
 inst/htmlwidgets/lib/gantt.js                                          |   10 
 inst/htmlwidgets/lib/gauge.js                                          |   48 
 inst/htmlwidgets/lib/images/style.css                                  |   70 
 inst/htmlwidgets/lib/pie.js                                            |   58 
 inst/htmlwidgets/lib/plugins/animate/LICENSE                           |  402 +-
 inst/htmlwidgets/lib/plugins/animate/animate.min.js                    |   80 
 inst/htmlwidgets/lib/plugins/animate/bower.json                        |   54 
 inst/htmlwidgets/lib/plugins/animate/index.js                          |    4 
 inst/htmlwidgets/lib/plugins/animate/package.json                      |   20 
 inst/htmlwidgets/lib/plugins/dataloader/bower.json                     |   54 
 inst/htmlwidgets/lib/plugins/dataloader/index.js                       |    4 
 inst/htmlwidgets/lib/plugins/dataloader/package.json                   |   20 
 inst/htmlwidgets/lib/plugins/export/LICENSE                            |  404 +-
 inst/htmlwidgets/lib/plugins/export/bower.json                         |   54 
 inst/htmlwidgets/lib/plugins/export/export.css                         |  720 +--
 inst/htmlwidgets/lib/plugins/export/export.min.js                      |    2 
 inst/htmlwidgets/lib/plugins/export/index.js                           |    4 
 inst/htmlwidgets/lib/plugins/export/lang/fr.js                         |   62 
 inst/htmlwidgets/lib/plugins/export/lang/pt.js                         |   74 
 inst/htmlwidgets/lib/plugins/export/libs/FileSaver.js/FileSaver.min.js |    2 
 inst/htmlwidgets/lib/plugins/export/libs/blob.js/blob.js               |  420 +-
 inst/htmlwidgets/lib/plugins/export/libs/fabric.js/fabric.min.js       |   14 
 inst/htmlwidgets/lib/plugins/export/libs/jszip/jszip.min.js            |   26 
 inst/htmlwidgets/lib/plugins/export/libs/pdfmake/pdfmake.min.js        |   34 
 inst/htmlwidgets/lib/plugins/export/libs/xlsx/LICENSE                  |   34 
 inst/htmlwidgets/lib/plugins/export/libs/xlsx/xlsx.min.js              |   16 
 inst/htmlwidgets/lib/plugins/export/package.json                       |   20 
 inst/htmlwidgets/lib/plugins/responsive/bower.json                     |   54 
 inst/htmlwidgets/lib/plugins/responsive/index.js                       |    4 
 inst/htmlwidgets/lib/plugins/responsive/package.json                   |   20 
 inst/htmlwidgets/lib/plugins/responsive/responsive.min.js              |    2 
 inst/htmlwidgets/lib/radar.js                                          |   22 
 inst/htmlwidgets/lib/serial.js                                         |  190 -
 inst/htmlwidgets/lib/xy.js                                             |   82 
 inst/htmlwidgets/ramcharts_base.js                                     |  486 +-
 inst/htmlwidgets/ramcharts_base.yaml                                   |   14 
 inst/modules/global.R                                                  |   40 
 inst/modules/server.R                                                  |   75 
 inst/modules/ui.R                                                      |   31 
 inst/shiny/server.R                                                    |   92 
 inst/shiny/src/Information/information_ui.R                            |   46 
 inst/shiny/src/bar/ambar_server.R                                      |  162 
 inst/shiny/src/bar/ambar_ui.R                                          |  202 -
 inst/shiny/src/bar/bar_server.R                                        |  654 +--
 inst/shiny/src/bar/bar_ui.R                                            |  342 -
 inst/shiny/src/bullet/ambullet_server.R                                |   88 
 inst/shiny/src/bullet/ambullet_ui.R                                    |  154 
 inst/shiny/src/bullet/bullet_server.R                                  |  118 
 inst/shiny/src/bullet/bullet_ui.R                                      |   68 
 inst/shiny/src/candlestick/amcandlestick_server.R                      |  124 
 inst/shiny/src/candlestick/amcandlestick_ui.R                          |  160 
 inst/shiny/src/candlestick/candlestick_server.R                        |   74 
 inst/shiny/src/candlestick/candlestick_ui.R                            |   68 
 inst/shiny/src/drilldown/drilldown_server.R                            |   80 
 inst/shiny/src/drilldown/drilldown_ui.R                                |   18 
 inst/shiny/src/funnel/amfunnel_server.R                                |  104 
 inst/shiny/src/funnel/amfunnel_ui.R                                    |  194 -
 inst/shiny/src/funnel/funnel_server.R                                  |  132 
 inst/shiny/src/funnel/funnel_ui.R                                      |  156 
 inst/shiny/src/gauge/amgauge_server.R                                  |  158 
 inst/shiny/src/gauge/amgauge_ui.R                                      |  220 -
 inst/shiny/src/gauge/gauge_server.R                                    |   62 
 inst/shiny/src/gauge/gauge_ui.R                                        |   66 
 inst/shiny/src/hist/amhist_server.R                                    |   56 
 inst/shiny/src/hist/amhist_ui.R                                        |  170 
 inst/shiny/src/hist/hist_ui.R                                          |   20 
 inst/shiny/src/lines/amlines_server.R                                  |  142 
 inst/shiny/src/lines/amlines_ui.R                                      |  156 
 inst/shiny/src/lines/lines_server.R                                    |  606 +--
 inst/shiny/src/lines/lines_ui.R                                        |  316 -
 inst/shiny/src/mekko/ammekko_server.R                                  |  108 
 inst/shiny/src/mekko/ammekko_ui.R                                      |  162 
 inst/shiny/src/mekko/mekko_server.R                                    |   84 
 inst/shiny/src/mekko/mekko_ui.R                                        |   68 
 inst/shiny/src/menu/menu.R                                             |  148 
 inst/shiny/src/pie/ampie_server.R                                      |  180 
 inst/shiny/src/pie/ampie_ui.R                                          |  214 -
 inst/shiny/src/pie/pie_server.R                                        |  288 -
 inst/shiny/src/pie/pie_ui.R                                            |  380 +-
 inst/shiny/src/radar/amradar_server.R                                  |  118 
 inst/shiny/src/radar/amradar_ui.R                                      |  172 
 inst/shiny/src/radar/radar_server.R                                    |  232 -
 inst/shiny/src/radar/radar_ui.R                                        |  162 
 inst/shiny/src/serial/serial_server.R                                  | 1470 +++----
 inst/shiny/src/serial/serial_ui.R                                      |  136 
 inst/shiny/src/stock/amstock_server.R                                  |  206 -
 inst/shiny/src/stock/amstock_ui.R                                      |  364 -
 inst/shiny/src/stock/stock_server.R                                    |  388 +-
 inst/shiny/src/stock/stock_ui.R                                        |  124 
 inst/shiny/src/xy/amxy_server.R                                        |  194 -
 inst/shiny/src/xy/amxy_ui.R                                            |  214 -
 inst/shiny/src/xy/xy_server.R                                          |  276 -
 inst/shiny/src/xy/xy_ui.R                                              |  158 
 inst/shiny/ui.R                                                        |  116 
 inst/shiny/www/style.css                                               |   38 
 inst/tests                                                             |only
 man/AmBalloon-class.Rd                                                 |   92 
 man/AmBalloon.Rd                                                       |  158 
 man/AmChart-class.Rd                                                   |  276 -
 man/AmGraph-class.Rd                                                   |   78 
 man/AmGraph.Rd                                                         |  182 
 man/AmLegend-class.Rd                                                  |   62 
 man/AmObject-class.Rd                                                  |   48 
 man/AmStockChart-class.Rd                                              |  112 
 man/AmStockChart.Rd                                                    |  580 +--
 man/AxisBase-class.Rd                                                  |   54 
 man/CategoryAxis-class.Rd                                              |   66 
 man/ChartCursor-class.Rd                                               |   74 
 man/ChartScrollbar-class.Rd                                            |   70 
 man/DataSet-class.Rd                                                   |   80 
 man/DataSet.Rd                                                         |  182 
 man/DataSetSelector-class.Rd                                           |   66 
 man/DataSetSelector.Rd                                                 |   84 
 man/GaugeArrow-class.Rd                                                |   62 
 man/GaugeArrow.Rd                                                      |  110 
 man/GaugeAxis-class.Rd                                                 |   60 
 man/GaugeAxis.Rd                                                       |  120 
 man/GaugeBand-class.Rd                                                 |   60 
 man/GaugeBand.Rd                                                       |   90 
 man/Guide-class.Rd                                                     |   74 
 man/Label-class.Rd                                                     |   70 
 man/Label.Rd                                                           |  148 
 man/PeriodSelector-class.Rd                                            |   66 
 man/StockEvent-class.Rd                                                |   68 
 man/StockPanel-class.Rd                                                |  272 -
 man/Title-class.Rd                                                     |   64 
 man/Title.Rd                                                           |   98 
 man/TrendLine-class.Rd                                                 |   92 
 man/TrendLine.Rd                                                       |  218 -
 man/ValueAxis-class.Rd                                                 |   72 
 man/add_dataloader_dependency.Rd                                       |   36 
 man/add_export_dependency.Rd                                           |   36 
 man/add_responsive_dependency.Rd                                       |   36 
 man/add_theme_dependency.Rd                                            |   56 
 man/amAngularGauge.Rd                                                  |  108 
 man/amBarplot.Rd                                                       |  286 -
 man/amBoxplot.Rd                                                       |  236 -
 man/amBullet.Rd                                                        |  130 
 man/amCandlestick.Rd                                                   |  178 
 man/amChartsOutput.Rd                                                  |   40 
 man/amFloatingBar.Rd                                                   |  268 -
 man/amFunnel.Rd                                                        |  124 
 man/amHist.Rd                                                          |  172 
 man/amLines.Rd                                                         |  114 
 man/amMekko.Rd                                                         |  108 
 man/amOHLC.Rd                                                          |  158 
 man/amOptions.Rd                                                       |  222 -
 man/amPie.Rd                                                           |  100 
 man/amPlot.Rd                                                          |  304 -
 man/amRadar.Rd                                                         |  132 
 man/amSolidGauge.Rd                                                    |  130 
 man/amStockMultiSet.Rd                                                 |  126 
 man/amTimeSeries.Rd                                                    |  336 -
 man/amWaterfall.Rd                                                     |   84 
 man/amWind.Rd                                                          |   92 
 man/amcharts-setters.Rd                                                |   84 
 man/api.Rd                                                             |   42 
 man/controlShinyPlot.Rd                                                |   38 
 man/data_AirPassengers.Rd                                              |   36 
 man/data_bar.Rd                                                        |   40 
 man/data_candleStick1.Rd                                               |   44 
 man/data_candleStick2.Rd                                               |   44 
 man/data_fbar.Rd                                                       |   42 
 man/data_funnel.Rd                                                     |   38 
 man/data_gantt.Rd                                                      |   42 
 man/data_gbar.Rd                                                       |   44 
 man/data_gdp.Rd                                                        |   42 
 man/data_mekko.Rd                                                      |   38 
 man/data_pie.Rd                                                        |   38 
 man/data_radar.Rd                                                      |   42 
 man/data_stock1.Rd                                                     |   38 
 man/data_stock_2.Rd                                                    |   38 
 man/data_stock_3.Rd                                                    |   42 
 man/data_waterfall.Rd                                                  |   40 
 man/data_wind.Rd                                                       |   40 
 man/getCurrentStockData.Rd                                             |  104 
 man/getTransformTS.Rd                                                  |  112 
 man/initialize-AmChart.Rd                                              | 1374 +++----
 man/initialize-AmLegend.Rd                                             |   80 
 man/initialize-AxisBase.Rd                                             |   60 
 man/initialize-CategoryAxis.Rd                                         |   94 
 man/initialize-ChartCursor.Rd                                          |  128 
 man/initialize-ChartScrollbar.Rd                                       |  138 
 man/initialize-Guide.Rd                                                |  108 
 man/initialize-PeriodSelector.Rd                                       |   90 
 man/initialize-StockEvent.Rd                                           |   98 
 man/initialize-StockPanel.Rd                                           |  376 -
 man/initialize-ValueAxis.Rd                                            |   90 
 man/listProperties-AmObject.Rd                                         |   50 
 man/methods-AmObject.Rd                                                |  156 
 man/plot.AmChart.Rd                                                    |   58 
 man/print-AmObject-method.Rd                                           |   54 
 man/rAmCharts-shinymodules-ts.Rd                                       |  357 +
 man/rAmCharts-shinymodules.Rd                                          |  154 
 man/renderAmCharts.Rd                                                  |   38 
 man/runExamples.Rd                                                     |   30 
 man/shared-generics.Rd                                                 |  158 
 man/show-AmChart-method.Rd                                             |   38 
 man/show-AmObject-method.Rd                                            |   42 
 man/show-AmStockChart-method.Rd                                        |   38 
 man/stockGraph.Rd                                                      |   74 
 man/stockLegend.Rd                                                     |   60 
 tests/testthat.R                                                       |    6 
 tests/testthat/test_AmStockChart_setters.R                             |   64 
 tests/testthat/test_AxisBase_setters.R                                 |    8 
 tests/testthat/test_ChartCursor_setters.R                              |   10 
 tests/testthat/test_ChartScrollbar_setters.R                           |   10 
 tests/testthat/test_DataSet_setters.R                                  |   10 
 tests/testthat/test_GaugeArrow_setters.R                               |   10 
 tests/testthat/test_GaugeAxis_setters.R                                |   26 
 tests/testthat/test_Guide.R                                            |   12 
 tests/testthat/test_StockEvent.R                                       |   10 
 tests/testthat/test_StockPanel_setters.R                               |   36 
 tests/testthat/test_TrendLine_setters.R                                |   26 
 tests/testthat/test_amBarplot.R                                        |  144 
 tests/testthat/test_amBoxplot.R                                        |  110 
 tests/testthat/test_amBullet.R                                         |   76 
 tests/testthat/test_amCandlestick.R                                    |  126 
 tests/testthat/test_amFloatingBar.R                                    |  106 
 tests/testthat/test_amFunnel.R                                         |   60 
 tests/testthat/test_amHist.R                                           |   68 
 tests/testthat/test_amMekko.R                                          |   42 
 tests/testthat/test_amOHLC.R                                           |   76 
 tests/testthat/test_amOptions.R                                        |  278 -
 tests/testthat/test_amPie.R                                            |   68 
 tests/testthat/test_amPlot.R                                           |  186 
 tests/testthat/test_amRadar.R                                          |   74 
 tests/testthat/test_amSolidGauge.R                                     |  126 
 tests/testthat/test_amTests.R                                          |  186 
 tests/testthat/test_amWaterfall.R                                      |   34 
 tests/testthat/test_amWind.R                                           |   46 
 tests/testthat/test_amchart_setters.R                                  |  330 -
 tests/testthat/test_getAggregateTS.R                                   |  332 -
 309 files changed, 28119 insertions(+), 28024 deletions(-)

More information about rAmCharts at CRAN
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Package Knoema updated to version 0.1.13 with previous version 0.1.12 dated 2017-12-11

Title: Interface to the Knoema API
Description: Using this package, users can access to the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series from thousands of sources collected in 'Knoema' repository and use rich R calculations in order to analyze the data. Because data in 'Knoema' is time series data, 'Knoema' function offers data in a number of formats usable in R such as 'ts', 'xts' or 'zoo'. For more information about 'Knoema' API go to <https://knoema.com/dev/docs>.
Author: Pavel Pimenov [aut, cre], Ekaterina Chirkova [aut], Knoema [cph]
Maintainer: Pavel Pimenov <pimenov@knoema.com>

Diff between Knoema versions 0.1.12 dated 2017-12-11 and 0.1.13 dated 2018-02-07

 DESCRIPTION                     |    8 +--
 MD5                             |   16 +++---
 NAMESPACE                       |    1 
 R/DataReader.R                  |  106 +++++++++++++++++++++++-----------------
 R/knoema.R                      |    4 -
 README.md                       |   46 ++++++-----------
 tests/testthat/test_dataframe.R |   11 ++++
 tests/testthat/test_errors.R    |    5 -
 tests/testthat/test_xts_zoo.R   |   55 +++++++-------------
 9 files changed, 122 insertions(+), 130 deletions(-)

More information about Knoema at CRAN
Permanent link

Package FADA updated to version 1.3.3 with previous version 1.3.2 dated 2016-05-20

Title: Variable Selection for Supervised Classification in High Dimension
Description: The functions provided in the FADA (Factor Adjusted Discriminant Analysis) package aim at performing supervised classification of high-dimensional and correlated profiles. The procedure combines a decorrelation step based on a factor modeling of the dependence among covariates and a classification method. The available methods are Lasso regularized logistic model (see Friedman et al. (2010)), sparse linear discriminant analysis (see Clemmensen et al. (2011)), shrinkage linear and diagonal discriminant analysis (see M. Ahdesmaki et al. (2010)). More methods of classification can be used on the decorrelated data provided by the package FADA.
Author: Emeline Perthame (INRIA, Grenoble, France), Chloe Friguet (Universite de Bretagne Sud, Vannes, France) and David Causeur (Agrocampus Ouest, Rennes, France)
Maintainer: David Causeur <david.causeur@agrocampus-ouest.fr>

Diff between FADA versions 1.3.2 dated 2016-05-20 and 1.3.3 dated 2018-02-07

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

More information about FADA at CRAN
Permanent link

Package sim1000G (with last version 1.37) was removed from CRAN

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

2018-02-05 1.37
2017-12-15 1.33

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