Tue, 25 Jul 2017

Package sweep updated to version 0.2.0 with previous version 0.1.0 dated 2017-07-03

Title: Tidy Tools for Forecasting
Description: Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between sweep versions 0.1.0 dated 2017-07-03 and 0.2.0 dated 2017-07-25

 DESCRIPTION                                       |   14 +--
 MD5                                               |  102 +++++++++++-----------
 NAMESPACE                                         |   15 ++-
 NEWS.md                                           |    5 +
 R/sw_sweep.R                                      |   36 +++----
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 R/sweep-package.R                                 |    2 
 R/tidiers_HoltWinters.R                           |   44 ++++-----
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 54 files changed, 480 insertions(+), 445 deletions(-)

More information about sweep at CRAN
Permanent link

Package reticulate updated to version 1.0 with previous version 0.9 dated 2017-06-23

Title: R Interface to Python
Description: R interface to Python modules, classes, and functions. When calling into Python R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types. Compatible with all versions of Python >= 2.7.
Author: JJ Allaire [aut, cre], Kevin Ushey [ctb], RStudio [cph, fnd], Yuan Tang [aut, cph], Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between reticulate versions 0.9 dated 2017-06-23 and 1.0 dated 2017-07-25

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More information about reticulate at CRAN
Permanent link

New package concaveman with initial version 1.0.0
Package: concaveman
Type: Package
Title: A Very Fast 2D Concave Hull Algorithm
Version: 1.0.0
Authors@R: c( person("Joël", "Gombin", email="joel.gombin@gmail.com", role = c("cre", "aut")), person("Ramnath", "Vaidyanathan", role = "aut"), person("Vladimir", "Agafonkin", role = "aut"), person("Mapbox", role = "cph") )
Description: The concaveman function ports the 'concaveman' (<https://github.com/mapbox/concaveman>) library from 'mapbox'. It computes the concave polygon(s) for one or several set of points.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: V8, sf, magrittr, jsonlite, methods, dplyr
RoxygenNote: 6.0.1
Suggests: testthat, sp
URL: http://www.github.com/joelgombin/concaveman
BugReports: http://www.github.com/joelgombin/concaveman/issues
SystemRequirements: GDAL (>= 2.0.0), GEOS (>= 3.3.0), PROJ.4 (>= 4.8.0)
NeedsCompilation: no
Packaged: 2017-07-25 21:57:11 UTC; joel
Author: Joël Gombin [cre, aut], Ramnath Vaidyanathan [aut], Vladimir Agafonkin [aut], Mapbox [cph]
Maintainer: Joël Gombin <joel.gombin@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-25 22:37:09 UTC

More information about concaveman at CRAN
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Package VGAM updated to version 1.0-4 with previous version 1.0-3 dated 2017-01-11

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 1.0-3 dated 2017-01-11 and 1.0-4 dated 2017-07-25

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More information about VGAM at CRAN
Permanent link

New package timetk with initial version 0.1.0
Package: timetk
Type: Package
Title: A Tool Kit for Working with Time Series in R
Version: 0.1.0
Date: 2017-07-25
Authors@R: c( person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")), person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut")) )
Description: Get the time series index, signature, and summary from time series objects and time-based tibbles. Create future time series based on properties of existing time series index. Coerce between time-based tibbles ('tbl') and 'xts', 'zoo', and 'ts'.
URL: https://github.com/business-science/timetk
BugReports: https://github.com/business-science/timetk/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: devtools (>= 1.12.0), dplyr (>= 0.7.0), forecast (>= 0.8.0), lazyeval (>= 0.2.0), lubridate (>= 1.6.0), padr (>= 0.3.0), purrr (>= 0.2.2), readr (>= 1.0.0), stringi (>= 1.1.5), tibble (>= 1.2), tidyr (>= 0.6.1), xts (>= 0.9-7), zoo (>= 1.7-14)
Suggests: broom, forcats, knitr, rmarkdown, robets, scales, stringr, testthat, tidyverse, tidyquant
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-25 16:53:08 UTC; mdancho
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2017-07-25 21:43:26 UTC

More information about timetk at CRAN
Permanent link

Package RxnSim updated to version 1.0.3 with previous version 1.0.2 dated 2017-06-20

Title: Functions to Compute Chemical Reaction Similarity
Description: Methods to compute chemical similarity between two or more reactions and molecules. Allows masking of chemical substructures for weighted similarity computations. Uses packages 'rCDK' and 'fingerprint' for cheminformatics functionality.
Author: Varun Giri [aut, cre]
Maintainer: Varun Giri <varungiri@gmail.com>

Diff between RxnSim versions 1.0.2 dated 2017-06-20 and 1.0.3 dated 2017-07-25

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Package rtypeform updated to version 0.3.1 with previous version 0.3.0 dated 2017-05-03

Title: Interface to 'typeform' Results
Description: An R interface to the 'typeform' <https://typeform.com> application program interface. Also provides functions for downloading your results.
Author: Colin Gillespie [aut, cre]
Maintainer: Colin Gillespie <csgillespie@gmail.com>

Diff between rtypeform versions 0.3.0 dated 2017-05-03 and 0.3.1 dated 2017-07-25

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New package MiRKAT with initial version 1.0
Package: MiRKAT
Version: 1.0
Date: 2017-07-25
Title: Microbiome Regression-Based Kernel Association Test
Authors@R: c(person("Haotian", "Zheng", role = c("aut"), email = "ht-zh14@mails.tsighua.edu.cn"), person("Xiang", "Zhan", role = "aut"), person("Anna", "Plantinga", role = "aut"), person("Michael", "Wu", role = "aut"), person("Ni", "Zhao", role = c("aut", "cre"), email = "nzhao10@jhu.edu"))
Author: Haotian Zheng [aut], Xiang Zhan [aut], Anna Plantinga [aut], Michael Wu [aut], Ni Zhao [aut, cre]
Maintainer: Ni Zhao <nzhao10@jhu.edu>
Depends: R (>= 2.13.0), survival, PearsonDS, GUniFrac, MASS
Description: Test for overall association between microbiome composition data with a continuous or dichotomous outcome via phylogenetic kernels. The phenotype can be univariate continuous or binary phenotypes (Zhao et al. (2015) <doi:10.1016/j.ajhg.2015.04.003>), survival outcomes (Plantinga et al. (2017) <doi:10.1186/s40168-017-0239-9>), multivariate (Zhan et al. (2017) <doi:10.1002/gepi.22030>) and structured phenotypes (Zhan et al. (2017) <doi:10.1111/biom.12684>). For all these effect, the microbiome community effect was modeled nonparametrically through a kernel function, which can incorporate the phylogenetic tree information.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-07-25 20:54:07 UTC; dell
Repository: CRAN
Date/Publication: 2017-07-25 21:52:56 UTC

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Package gamm4 updated to version 0.2-5 with previous version 0.2-4 dated 2016-09-17

Title: Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Description: Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.
Author: Simon Wood, Fabian Scheipl
Maintainer: Simon Wood <simon.wood@r-project.org>

Diff between gamm4 versions 0.2-4 dated 2016-09-17 and 0.2-5 dated 2017-07-25

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New package bayeslongitudinal with initial version 0.1.0
Package: bayeslongitudinal
Type: Package
Title: Adjust Longitudinal Regression Models Using Bayesian Methodology
Version: 0.1.0
Date: 2017-07-18
Author: Edwin Javier Castillo Carreño, Edilberto Cepeda Cuervo
Maintainer: Edwin Javier Castillo Carreño <edjcastilloca@unal.edu.co>
Description: Adjusts longitudinal regression models using Bayesian methodology for covariance structures of composite symmetry (SC), autoregressive ones of order 1 AR (1) and autoregressive moving average of order (1,1) ARMA (1,1).
License: GPL (>= 2)
Depends: R(>= 3.1.0), LearnBayes, mvtnorm, MASS
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-18 21:21:17 UTC; edwin
Repository: CRAN
Date/Publication: 2017-07-25 21:13:13 UTC

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Package timekit (with last version 0.3.1) was removed from CRAN

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

2017-06-28 0.3.1
2017-05-16 0.3.0
2017-04-30 0.2.0
2017-04-19 0.1.0

Permanent link
Package sequoia updated to version 0.9.3 with previous version 0.9.2 dated 2017-07-17

Title: Pedigree Inference from SNPs
Description: Fast multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See citation('sequoia') for more information.
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>

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Package QTLRel updated to version 0.2-17 with previous version 0.2-16 dated 2017-07-20

Title: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
Description: This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.
Author: Riyan Cheng [aut, cre]
Maintainer: Riyan Cheng <riyancheng@hotmail.com>

Diff between QTLRel versions 0.2-16 dated 2017-07-20 and 0.2-17 dated 2017-07-25

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Package qtlmt updated to version 0.1-6 with previous version 0.1-5 dated 2017-07-20

Title: Tools for Mapping Multiple Complex Traits
Description: Provides tools for joint analysis of multiple traits in a backcross (BC) or recombinant inbred lines (RIL) population. It can be used to select an optimal subset of traits for multiple-trait mapping, analyze multiple traits via the SURE model, which can associate different QTL with different traits, and perform multiple-trait composite multiple-interval mapping.
Author: Riyan Cheng [aut, cre]
Maintainer: Riyan Cheng <riyancheng@hotmail.com>

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Package gambin updated to version 2.1.1 with previous version 1.4 dated 2016-06-22

Title: Fit the Gambin Model to Species Abundance Distributions
Description: Fits unimodal and multimodal gambin distributions to species-abundance distributions from ecological data. 'gambin' is short for 'gamma-binomial'. The main function is fit_abundances(), which estimates the 'alpha' parameter(s) of the gambin distribution using maximum likelihood. Functions are also provided to generate the gambin distribution and for calculating likelihood statistics.
Author: Thomas Matthews [aut, cre], Michael Krabbe Borregaard [aut], Karl Ugland [aut], Colin Gillespie [aut]
Maintainer: Thomas Matthews <txm676@gmail.com>

Diff between gambin versions 1.4 dated 2016-06-22 and 2.1.1 dated 2017-07-25

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Package netCoin updated to version 0.2.6 with previous version 0.2.5 dated 2017-03-31

Title: Interactive Networks with R
Description: Create interactive networked coincidences. It joins the data analysis power of R to study coincidences and the visualization libraries of JavaScript in one package.
Author: Modesto Escobar <modesto@usal.es>, Carlos Prieto <cprietos@usal.es>, David Barrios <metal@usal.es>, Luis Martinez-Uribe <lmartinez@usal.es>.
Maintainer: Modesto Escobar <modesto@usal.es>

Diff between netCoin versions 0.2.5 dated 2017-03-31 and 0.2.6 dated 2017-07-25

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New package qqplotr with initial version 0.0.1
Package: qqplotr
Type: Package
Version: 0.0.1
Title: Quantile-Quantile Plot Extensions for 'ggplot2'
Description: Extensions of 'ggplot2' Q-Q plot functionalities.
Authors@R: c(person("Alexandre", "Almeida", email = "almeida.xan@gmail.com", role = c("aut", "cre")), person("Adam", "Loy", email = "loyad01@gmail.com", role = c("aut")), person("Heike", "Hofmann", role = "aut"))
URL: https://github.com/aloy/qqplotr
BugReports: https://github.com/aloy/qqplotr/issues
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Collate: 'stat_qq_point.R' 'stat_qq_line.R' 'stat_qq_band.R'
Depends: ggplot2
Imports: dplyr, robustbase, stats4
NeedsCompilation: no
Packaged: 2017-07-22 19:46:03 UTC; almeida
Author: Alexandre Almeida [aut, cre], Adam Loy [aut], Heike Hofmann [aut]
Maintainer: Alexandre Almeida <almeida.xan@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-25 17:34:47 UTC

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Package glmm updated to version 1.2 with previous version 1.1.1 dated 2016-08-17

Title: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation
Description: Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.
Author: Christina Knudson
Maintainer: Christina Knudson <christina@umn.edu>

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Package PowerNormal updated to version 1.2.0 with previous version 1.1.0 dated 2017-06-25

Title: Power Normal Distribution
Description: Miscellaneous functions for a descriptive analysis and initial Bayesian and classical inference for the power parameter of the the Power Normal (PN) distribution. This miscellaneous will be extend for more distributions into the power family and the three-parameter model.
Author: Gualberto Segundo Agamez Montalvo, Marcia D'Elia Branco
Maintainer: Gualberto Segundo Agamez Montalvo <gsagamez@gmail.com>

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Package aniDom updated to version 0.1.2 with previous version 0.1.1 dated 2017-04-28

Title: Inferring Dominance Hierarchies and Estimating Uncertainty
Description: Provides: (1) Tools to infer dominance hierarchies based on calculating Elo scores, but with custom functions to improve estimates in animals with relatively stable dominance ranks. (2) Tools to plot the shape of the dominance hierarchy and estimate the uncertainty of a given data set.
Author: Damien R. Farine and Alfredo Sanchez-Tojar
Maintainer: Damien R. Farine <dfarine@orn.mpg.de>

Diff between aniDom versions 0.1.1 dated 2017-04-28 and 0.1.2 dated 2017-07-25

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Package seqICP updated to version 1.1 with previous version 1.0 dated 2017-06-27

Title: Sequential Invariant Causal Prediction
Description: Contains an implementation of invariant causal prediction for sequential data. The main function in the package is 'seqICP', which performs linear sequential invariant causal prediction and has guaranteed type I error control. For non-linear dependencies the package also contains a non-linear method 'seqICPnl', which allows to input any regression procedure and performs tests based on a permutation approach that is only approximately correct. In order to test whether an individual set S is invariant the package contains the subroutines 'seqICP.s' and 'seqICPnl.s' corresponding to the respective main methods.
Author: Niklas Pfister and Jonas Peters
Maintainer: Niklas Pfister <pfister@stat.math.ethz.ch>

Diff between seqICP versions 1.0 dated 2017-06-27 and 1.1 dated 2017-07-25

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Package WhatIf updated to version 1.5-9 with previous version 1.5-8 dated 2017-03-21

Title: Evaluate Counterfactuals
Description: Inferences about counterfactuals are essential for prediction, answering what if questions, and estimating causal effects. However, when the counterfactuals posed are too far from the data at hand, conclusions drawn from well-specified statistical analyses become based largely on speculation hidden in convenient modeling assumptions that few would be willing to defend. Unfortunately, standard statistical approaches assume the veracity of the model rather than revealing the degree of model-dependence, which makes this problem hard to detect. WhatIf offers easy-to-apply methods to evaluate counterfactuals that do not require sensitivity testing over specified classes of models. If an analysis fails the tests offered here, then we know that substantive inferences will be sensitive to at least some modeling choices that are not based on empirical evidence, no matter what method of inference one chooses to use. WhatIf implements the methods for evaluating counterfactuals discussed in Gary King and Langche Zeng, 2006, "The Dangers of Extreme Counterfactuals," Political Analysis 14 (2) <DOI:10.1093/pan/mpj004>; and Gary King and Langche Zeng, 2007, "When Can History Be Our Guide? The Pitfalls of Counterfactual Inference," International Studies Quarterly 51 (March) <DOI:10.1111/j.1468-2478.2007.00445.x>.
Author: Christopher Gandrud [aut, cre], Gary King [aut], Ben Sabath [ctb], Heather Stoll [aut], Langche Zeng [aut]
Maintainer: Christopher Gandrud <zelig.zee@gmail.com>

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Package ggseqlogo updated to version 0.1 with previous version 0.0.1 dated 2017-06-13

Title: A 'ggplot2' Extension for Drawing Publication-Ready Sequence Logos
Description: The extensive range of functions provided by this package makes it possible to draw highly versatile sequence logos. Features include, but not limited to, modifying colour schemes and fonts used to draw the logo, generating multiple logo plots, and aiding the visualisation with annotations. Sequence logos can easily be combined with other plots 'ggplot2' plots.
Author: Omar Wagih
Maintainer: Omar Wagih <wagih@ebi.ac.uk>

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New package MRTSampleSize with initial version 0.1.0
Package: MRTSampleSize
Type: Package
Title: A Sample Size Calculator for Micro-Randomized Trials
Version: 0.1.0
Authors@R: c( person("Liying","Huang", email = "lxh37@psu.edu", role = c("aut","cre")), person("Nicholas J.","Seewald", email = "nseewald@umich.edu", role = "aut"), person("Peng","Liao", email = "pengliao@umich.edu", role ="aut"), person("Ji","Sun", email = "sunji@umich.edu", role ="aut"))
Depends: R (>= 2.15.0)
Copyright: The Pennsylvania State University
Description: Provide a sample size calculator for micro-randomized trials (MRTs) based on methodology developed in Sample Size Calculations for Micro-randomized Trials in mHealth by Liao et al. (2016) <DOI:10.1002/sim.6847>.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-07-21 13:15:14 UTC; admin_lxh37
Author: Liying Huang [aut, cre], Nicholas J. Seewald [aut], Peng Liao [aut], Ji Sun [aut]
Maintainer: Liying Huang <lxh37@psu.edu>
Repository: CRAN
Date/Publication: 2017-07-25 11:06:21 UTC

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Package rcompanion updated to version 1.9.1 with previous version 1.5.7 dated 2017-06-23

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support "Summary and Analysis of Extension Education Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

Diff between rcompanion versions 1.5.7 dated 2017-06-23 and 1.9.1 dated 2017-07-25

 DESCRIPTION                   |    8 ++++----
 MD5                           |   24 ++++++++++++++++++------
 NAMESPACE                     |   12 ++++++++++++
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 19 files changed, 38 insertions(+), 14 deletions(-)

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Package tbl2xts updated to version 0.1.1 with previous version 0.1.0 dated 2017-06-23

Title: Convert Tibbles or Data Frames to Xts Easily
Description: Facilitate the movement between data frames to 'xts'. Particularly useful when moving from 'tidyverse' to the widely used 'xts' package, which is the input format of choice to various other packages. It also allows the user to use a 'spread_by' argument for a character column 'xts' conversion.
Author: Nico Katzke
Maintainer: Nico Katzke <nfkatzke@gmail.com>

Diff between tbl2xts versions 0.1.0 dated 2017-06-23 and 0.1.1 dated 2017-07-25

 DESCRIPTION                    |   10 +++++-----
 MD5                            |    6 +++---
 R/tbl_xts.R                    |    2 +-
 inst/doc/tbl2xts_vignette.html |    8 ++++----
 4 files changed, 13 insertions(+), 13 deletions(-)

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Package Directional updated to version 2.8 with previous version 2.7 dated 2017-05-17

Title: Directional Statistics
Description: A collection of functions for directional data analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000).
Author: Michail Tsagris, Giorgos Athineou, Anamul Sajib
Maintainer: Michail Tsagris <mtsagris@yahoo.gr>

Diff between Directional versions 2.7 dated 2017-05-17 and 2.8 dated 2017-07-25

 DESCRIPTION                |   10 +--
 MD5                        |   85 +++++++++++++++-------------
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New package treeDA with initial version 0.0.2
Package: treeDA
Title: Tree-Based Discriminant Analysis
Version: 0.0.2
Authors@R: person("Julia", "Fukuyama", email = "julia.fukuyama@gmail.com", role = c("aut", "cre"))
Description: Performs sparse discriminant analysis on a combination of node and leaf predictors when the predictor variables are structured according to a tree.
Depends: R (>= 3.4.1)
Imports: sparseLDA (>= 0.1.9), Matrix (>= 1.2.10), mvtnorm (>= 1.0.6), reshape2 (>= 1.4.2), gtable (>= 0.2.0), grid (>= 3.4.1), phyloseq (>= 1.20.0), ggplot2 (>= 2.2.1), stats (>= 3.4.1)
Suggests: adaptiveGPCA (>= 0.1), knitr (>= 1.16)
VignetteBuilder: knitr
License: GPL-2
URL: https://github.com/jfukuyama/treeda
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-24 21:59:20 UTC; juliefukuyama
Author: Julia Fukuyama [aut, cre]
Maintainer: Julia Fukuyama <julia.fukuyama@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-25 08:30:30 UTC

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Package TreatmentSelection updated to version 2.1.0 with previous version 2.0.3 dated 2017-02-09

Title: Evaluate Treatment Selection Biomarkers
Description: A suite of descriptive and inferential methods designed to evaluate one or more biomarkers for their ability to guide patient treatment recommendations. Package includes functions to assess the calibration of risk models; and plot, evaluate, and compare markers.
Author: Marshall Brown and Holly Janes
Maintainer: Marshall Brown <mdbrown@fhcrc.org>

Diff between TreatmentSelection versions 2.0.3 dated 2017-02-09 and 2.1.0 dated 2017-07-25

 TreatmentSelection-2.0.3/TreatmentSelection/inst/example/tutorial.html |only
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 TreatmentSelection-2.1.0/TreatmentSelection/NEWS                       |   15 +
 TreatmentSelection-2.1.0/TreatmentSelection/R/CDFdeltaPLOT.R           |    4 
 TreatmentSelection-2.1.0/TreatmentSelection/R/SelectionImpactPLOT_gg.R |    2 
 TreatmentSelection-2.1.0/TreatmentSelection/R/boot.sample.R            |   10 
 TreatmentSelection-2.1.0/TreatmentSelection/R/calibrate.trtsel.R       |  140 +++++-----
 TreatmentSelection-2.1.0/TreatmentSelection/R/compare.trtsel.R         |   12 
 TreatmentSelection-2.1.0/TreatmentSelection/R/estimate_measures.R      |   43 +--
 TreatmentSelection-2.1.0/TreatmentSelection/R/evaluate.trtsel.R        |   46 +--
 TreatmentSelection-2.1.0/TreatmentSelection/R/get.coef.R               |    8 
 TreatmentSelection-2.1.0/TreatmentSelection/R/get.plot.ci.R            |    4 
 TreatmentSelection-2.1.0/TreatmentSelection/R/get.summary.measures.R   |   36 +-
 TreatmentSelection-2.1.0/TreatmentSelection/R/myplotcompare.trtsel.R   |    8 
 TreatmentSelection-2.1.0/TreatmentSelection/R/one.boot.compare.R       |   41 +-
 TreatmentSelection-2.1.0/TreatmentSelection/R/one.boot.eval.R          |   16 -
 TreatmentSelection-2.1.0/TreatmentSelection/R/one.boot.plot.R          |   34 +-
 TreatmentSelection-2.1.0/TreatmentSelection/R/plot.trtsel.R            |    3 
 TreatmentSelection-2.1.0/TreatmentSelection/R/predcurvePLOT.R          |    6 
 TreatmentSelection-2.1.0/TreatmentSelection/R/print.trtsel.R           |    6 
 TreatmentSelection-2.1.0/TreatmentSelection/R/subroutines.R            |    4 
 TreatmentSelection-2.1.0/TreatmentSelection/R/trteffectPLOT.R          |   12 
 TreatmentSelection-2.1.0/TreatmentSelection/R/trtsel.R                 |   79 +++--
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 33 files changed, 393 insertions(+), 316 deletions(-)

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Package sidrar updated to version 0.2.4 with previous version 0.2.1 dated 2017-06-29

Title: An Interface to IBGE's SIDRA API
Description: Allows the user to connect with IBGE's (Instituto Brasileiro de Geografia e Estatistica, see <http://www.ibge.gov.br/> for more information) SIDRA API in a flexible way. SIDRA is the acronym to "Sistema IBGE de Recuperacao Automatica" and is the system where IBGE turns available aggregate data from their researches.
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>

Diff between sidrar versions 0.2.1 dated 2017-06-29 and 0.2.4 dated 2017-07-25

 DESCRIPTION                          |    6 +--
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 inst/doc/Introduction_to_sidrar.Rmd  |   22 +++++++++++
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New package pulver with initial version 0.1.0
Package: pulver
Title: Parallel Ultra-Rapid p-Value Computation for Linear Regression Interaction Terms
Version: 0.1.0
Authors@R: person("Sophie", "Molnos", email = "somolnos@gmail.com", role = c("aut", "cre"))
Maintainer: Sophie Molnos <somolnos@gmail.com>
Description: Computes p-values for the interaction term in a very large number of linear regression models.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, DatABEL, parallel, methods
Suggests: testthat, knitr, rmarkdown, devtools
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-07-25 07:37:16 UTC; sophie.molnos
Author: Sophie Molnos [aut, cre]
Repository: CRAN
Date/Publication: 2017-07-25 08:26:31 UTC

More information about pulver at CRAN
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New package PSIMEX with initial version 1.0
Package: PSIMEX
Type: Package
Title: SIMEX Algorithm on Pedigree Structures
Version: 1.0
Depends: MCMCglmm, plotrix, pedigree, knitr
VignetteBuilder: knitr
Date: 2017-07-23
Author: Erica Ponzi
Maintainer: Erica Ponzi <erica.ponzi@uzh.ch>
Description: Generalization of the SIMEX algorithm from Cook & Stefanski (1994) <doi:10.2307/2290994> for the calculation of inbreeding depression or heritability on pedigree structures affected by missing or misassigned paternities. It simulates errors and tracks the behavior of the estimate as a function of the error proportion. It extrapolates back a true value corresponding to the null error rate.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-07-25 07:13:48 UTC; ericapo
Repository: CRAN
Date/Publication: 2017-07-25 08:23:59 UTC

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Package datasus updated to version 0.4.0 with previous version 0.1.0 dated 2017-06-12

Title: An Interface to DATASUS System
Description: It allows the user to retrieve the data from the systems of DATASUS (SUS IT department related to the Brazilian Ministry of Health, see <http://datasus.saude.gov.br/informacoes-de-saude/tabnet/> for more information) much in the same way that is done in the online portal. For now the package allows access to the SINASC and SIM's (ICD-10) systems, that is, the 'Estatísticas Vitais'.
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>

Diff between datasus versions 0.1.0 dated 2017-06-12 and 0.4.0 dated 2017-07-25

 DESCRIPTION                           |    6 +--
 MD5                                   |   48 ++++++++++++++++++++---------
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New package curstatCI with initial version 0.1.0
Package: curstatCI
Type: Package
Title: Confidence Intervals for the Current Status Model
Version: 0.1.0
Authors@R: c( person("Piet", "Groeneboom", email = "P.Groeneboom@tudelft.nl",role = "aut"), person("Kim", "Hendrickx", email = "kim.hendrickx@uhasselt.be",role = "cre"))
Description: Computes the maximum likelihood estimator, the smoothed maximum likelihood estimator and pointwise bootstrap confidence intervals for the distribution function under current status data. Groeneboom and Hendrickx (2017) <arXiv:1701.07359>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp
Depends: R (>= 2.10)
RoxygenNote: 6.0.1
URL: https://github.com/kimhendrickx/curstatCI
BugReports: https://github.com/kimhendrickx/curstatCI/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-07-25 08:41:11 UTC; lucp8442
Author: Piet Groeneboom [aut], Kim Hendrickx [cre]
Maintainer: Kim Hendrickx <kim.hendrickx@uhasselt.be>
Repository: CRAN
Date/Publication: 2017-07-25 08:50:19 UTC

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Package CerioliOutlierDetection updated to version 1.1.9 with previous version 1.1.5 dated 2016-07-08

Title: Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)
Description: Implements the iterated RMCD method of Cerioli (2010) for multivariate outlier detection via robust Mahalanobis distances. Also provides the finite-sample RMCD method discussed in the paper, as well as the methods provided in Hardin and Rocke (2005) <doi:10.1198/106186005X77685> and Green and Martin (2017).
Author: Christopher G. Green [aut, cre], R. Doug Martin [ths]
Maintainer: Christopher G. Green <christopher.g.green@gmail.com>

Diff between CerioliOutlierDetection versions 1.1.5 dated 2016-07-08 and 1.1.9 dated 2017-07-25

 DESCRIPTION                    |   11 
 MD5                            |   35 +-
 NAMESPACE                      |   20 -
 R/cerioli10.fsrmcd.test.r      |  318 ++++++++++++------------
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 man/hr05CriticalValue.Rd       |  114 ++++----
 man/hr05CutoffMvnormal.Rd      |  158 ++++++------
 19 files changed, 1290 insertions(+), 1281 deletions(-)

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Package BioInstaller updated to version 0.2.0 with previous version 0.1.2 dated 2017-06-23

Title: Lightweight Biology Software Installer
Description: Can be used to install and download massive bioinformatics analysis softwares and databases, such as NGS reads mapping tools with its required databases.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

Diff between BioInstaller versions 0.1.2 dated 2017-06-23 and 0.2.0 dated 2017-07-25

 ChangeLog                                   |   25 
 DESCRIPTION                                 |    6 
 MD5                                         |   60 +-
 NAMESPACE                                   |    3 
 R/BioInstaller.R                            |    4 
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 R/docker.R                                  |only
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 R/install_utils.R                           |    6 
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 README.md                                   |   28 -
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 inst/doc/BioInstaller.Rmd                   |   65 +-
 inst/doc/BioInstaller.html                  |  761 ++++++++++++++++++----------
 inst/doc/write_configuration_file.R         |    4 
 inst/doc/write_configuration_file.Rmd       |   52 +
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 man/install.github.Rd                       |   12 
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 vignettes/BioInstaller.Rmd                  |   65 +-
 vignettes/write_configuration_file.Rmd      |   52 +
 36 files changed, 1480 insertions(+), 709 deletions(-)

More information about BioInstaller at CRAN
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