Mon, 29 Apr 2019

Package VLMC updated to version 1.4-3-1 with previous version 1.4-3 dated 2019-04-26

Title: Variable Length Markov Chains ('VLMC') Models
Description: Functions, Classes & Methods for estimation, prediction, and simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.
Author: Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between VLMC versions 1.4-3 dated 2019-04-26 and 1.4-3-1 dated 2019-04-29

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Package pricesensitivitymeter updated to version 1.0.1 with previous version 1.0.0 dated 2019-04-28

Title: Van Westendorp Price Sensitivity Meter Analysis
Description: An implementation of the van Westendorp Price Sensitivity Meter in R, which is a survey-based approach to analyze consumer price preferences and sensitivity (van Westendorp 1976, isbn:9789283100386).
Author: Max Alletsee [aut, cre]
Maintainer: Max Alletsee <max.alletsee@gmail.com>

Diff between pricesensitivitymeter versions 1.0.0 dated 2019-04-28 and 1.0.1 dated 2019-04-29

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New package PACLasso with initial version 1.0.0
Package: PACLasso
Type: Package
Title: Penalized and Constrained Lasso Optimization
Version: 1.0.0
Date: 2019-4-11
Authors@R: c(person("Courtney", "Paulson", email = "cpaulson@rhsmith.umd.edu", role = c("aut", "cre")),person("Gareth","James",role="ctb"),person("Paat","Rusmevichientong",role="ctb"))
Maintainer: Courtney Paulson <cpaulson@rhsmith.umd.edu>
Description: An implementation of both the equality and inequality constrained lasso functions for the algorithm described in "Penalized and Constrained Optimization" by James, Paulson, and Rusmevichientong (Journal of the American Statistical Association, 2019; see <http://www-bcf.usc.edu/~gareth/research/PAC.pdf> for a full-text version of the paper). The algorithm here is designed to allow users to define linear constraints (either equality or inequality constraints) and use a penalized regression approach to solve the constrained problem. The functions here are used specifically for constraints with the lasso formulation, but the method described in the PaC paper can be used for a variety of scenarios. In addition to the simple examples included here with the corresponding functions, complete code to entirely reproduce the results of the paper is available online through the Journal of the American Statistical Association.
Depends: R (>= 3.3.0), methods (>= 3.4.4), penalized (>= 0.9)
Imports: MASS (>= 7.3), lars (>= 1.2), quadprog (>= 1.5), limSolve (>= 1.5.5.3)
License: GPL-3
URL: http://www-bcf.usc.edu/~gareth/research/PAC.pdf
Repository: CRAN
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-29 19:41:30 UTC; cpaulson
Author: Courtney Paulson [aut, cre], Gareth James [ctb], Paat Rusmevichientong [ctb]
Date/Publication: 2019-04-29 21:30:16 UTC

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Package sdprisk updated to version 1.1-6 with previous version 1.1-5 dated 2016-12-30

Title: Measures of Risk for the Compound Poisson Risk Process with Diffusion
Description: Based on the compound Poisson risk process that is perturbed by a Brownian motion, saddlepoint approximations to some measures of risk are provided. Various approximation methods for the probability of ruin are also included. Furthermore, exact values of both the risk measures as well as the probability of ruin are available if the individual claims follow a hypo-exponential distribution (i. e., if it can be represented as a sum of independent exponentially distributed random variables with different rate parameters). For more details see Gatto and Baumgartner (2014) <doi:10.1007/s11009-012-9316-5>.
Author: Benjamin Baumgartner [aut, cre], Riccardo Gatto [ctb, ths], Sebastian Szugat [ctb]
Maintainer: Benjamin Baumgartner <benjamin@baumgrt.com>

Diff between sdprisk versions 1.1-5 dated 2016-12-30 and 1.1-6 dated 2019-04-29

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Package bench updated to version 1.0.2 with previous version 1.0.1 dated 2018-06-06

Title: High Precision Timing of R Expressions
Description: Tools to accurately benchmark and analyze execution times for R expressions.
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between bench versions 1.0.1 dated 2018-06-06 and 1.0.2 dated 2019-04-29

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Package SCINA updated to version 1.1.0 with previous version 1.0.1 dated 2018-10-13

Title: A Semi-Supervised Category Identification and Assignment Tool
Description: An automatic cell type detection and assignment algorithm for single cell RNA-Seq and Cytof/FACS data. 'SCINA' is capable of assigning cell type identities to a pool of cells profiled by scRNA-Seq or Cytof/FACS data with prior knowledge of markers, such as genes and protein symbols that are highly or lowly expressed in each category.
Author: Ze Zhang
Maintainer: Ze Zhang <Ze.Zhang@utsouthwestern.edu>

Diff between SCINA versions 1.0.1 dated 2018-10-13 and 1.1.0 dated 2019-04-29

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Package Rmosek updated to version 1.3.4 with previous version 1.3.3 dated 2019-03-18

Title: The R to MOSEK Optimization Interface
Description: This is a generic meta-package designed to make the optimization facilities of MOSEK available from the R-language. The interface supports large-scale optimization of many kinds: Mixed-integer and continuous linear, second-order cone, exponential cone and power cone optimization, as well as continuous semidefinite optimization. Rmosek and the R-language are open-source projects. MOSEK is a proprietary product, but unrestricted trial and academic licenses are available.
Author: MOSEK ApS
Maintainer: Henrik A. Friberg <haf@mosek.com>

Diff between Rmosek versions 1.3.3 dated 2019-03-18 and 1.3.4 dated 2019-04-29

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New package NACHO with initial version 0.5.6
Package: NACHO
Type: Package
Title: NanoString Quality Control Dashboard
Version: 0.5.6
Authors@R: c( person(given = "Mickaël", family = "Canouil", role = c("aut", "cre"), email = "mickael.canouil@cnrs.fr", comment = c(ORCID = "0000-0002-3396-4549") ), person(given = "Roderick", family = "Slieker", role = "aut", email = "R.C.Slieker@lumc.nl", comment = c(ORCID = "0000-0003-0961-9152") ), person(given = "Gerard", family = "Bouland", role = "aut", email = "G.A.Bouland@lumc.nl") )
Description: NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
License: GPL-3 | file LICENSE
URL: https://mcanouil.github.io/NACHO
BugReports: https://github.com/mcanouil/NACHO/issues
Depends: R (>= 3.5.0)
Imports: tibble, dplyr, tidyr, purrr, shiny, scales, ggplot2, ggbeeswarm, ggrepel, ggpubr, gtools
Suggests: covr, Biobase, GEOquery, utils, sessioninfo, knitr, rmarkdown, testthat
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-04-29 09:30:01 UTC; mcanouil
Author: Mickaël Canouil [aut, cre] (<https://orcid.org/0000-0002-3396-4549>), Roderick Slieker [aut] (<https://orcid.org/0000-0003-0961-9152>), Gerard Bouland [aut]
Maintainer: Mickaël Canouil <mickael.canouil@cnrs.fr>
Repository: CRAN
Date/Publication: 2019-04-29 19:30:13 UTC

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Package kvh updated to version 1.4.1 with previous version 1.4 dated 2019-04-26

Title: Read/Write Files in Key-Value-Hierarchy Format
Description: The format KVH is a lightweight format that can be read/written both by humans and machines. It can be useful in situations where XML or alike formats seem to be an overkill. We provide an ability to parse KVH files in R pretty fast due to 'Rcpp' use.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between kvh versions 1.4 dated 2019-04-26 and 1.4.1 dated 2019-04-29

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Package intccr updated to version 1.1.2 with previous version 1.1.1 dated 2019-02-20

Title: Semiparametric Competing Risks Regression under Interval Censoring
Description: Semiparametric regression models on the cumulative incidence function with interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350>. The main function fits the proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
Author: Giorgos Bakoyannis <gbakogia@iu.edu>, Jun Park <jp84@iu.edu>
Maintainer: Jun Park <jp84@iu.edu>

Diff between intccr versions 1.1.1 dated 2019-02-20 and 1.1.2 dated 2019-04-29

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Package divest updated to version 0.8.0 with previous version 0.7.2 dated 2018-11-15

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them 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>

Diff between divest versions 0.7.2 dated 2018-11-15 and 0.8.0 dated 2019-04-29

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Package cranlogs updated to version 2.1.1 with previous version 2.1.0 dated 2015-12-07

Title: Download Logs from the 'RStudio' 'CRAN' Mirror
Description: 'API' to the database of 'CRAN' package downloads from the 'RStudio' 'CRAN mirror'. The database itself is at <http://cranlogs.r-pkg.org>, see <https://github.com/r-hub/cranlogs.app> for the raw 'API'.
Author: Gábor Csárdi [aut, cre], R Consortium [fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package DLMtool updated to version 5.3.1 with previous version 5.3 dated 2019-03-06

Title: Data-Limited Methods Toolkit
Description: Development, simulation testing, and implementation of management procedures for data-limited fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).
Author: Tom Carruthers [aut, cre], Adrian Hordyk [aut], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Tom Carruthers <t.carruthers@fisheries.ubc.ca>

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Package BlakerCI updated to version 1.0-6 with previous version 1.0-5 dated 2015-08-20

Title: Blaker's Binomial and Poisson Confidence Limits
Description: Fast and accurate calculation of Blaker's binomial and Poisson confidence limits (and some related stuff).
Author: Jan Klaschka
Maintainer: Jan Klaschka <klaschka@cs.cas.cz>

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New package islasso with initial version 1.0.0
Package: islasso
Type: Package
Title: The Induced Smoothed Lasso
Version: 1.0.0
Date: 2019-04-17
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, ctb]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
Depends: glmnet, Matrix, R (>= 2.10)
Description: An implementation of the induced smoothing idea that focuses on hypothesis testing in lasso regularization models (IS-lasso). Linear, logistic, Poisson and gamma regressions with several link functions are already implemented. The algorithm uses the steps as described in the original paper. See: The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression. Cilluffo, G., Sottile, G., La Grutta, S. and Muggeo, V. (2019) <doi:10.1177/0962280219842890>.
License: GPL (>= 2)
URL: https://journals.sagepub.com/doi/abs/10.1177/0962280219842890
LazyLoad: yes
NeedsCompilation: yes
Repository: CRAN
Packaged: 2019-04-28 09:04:42 UTC; gianlucasottile
Date/Publication: 2019-04-29 17:30:03 UTC

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Package repr updated to version 1.0.0 with previous version 0.19.2 dated 2019-02-06

Title: Serializable Representations
Description: String and binary representations of objects for several formats / mime types.
Author: Philipp Angerer [aut, cre] (<https://orcid.org/0000-0002-0369-2888>), Thomas Kluyver [aut], Jan Schulz [aut], abielr [ctb], Denilson Figueiredo de Sa [ctb], Jim Hester [ctb], karldw [ctb], Dave Foster [ctb], Carson Sievert [ctb]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>

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Package cmfilter (with last version 0.9.1) was removed from CRAN

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

2019-04-29 0.9.1

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Package meteoland updated to version 0.8.0 with previous version 0.7.7 dated 2018-10-22

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

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 meteoland-0.8.0/meteoland/inst/include/meteoland_RcppExports.h   | 1318 +++++-----
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Package GWmodel updated to version 2.0-9 with previous version 2.0-8 dated 2019-02-15

Title: Geographically-Weighted Models
Description: In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. GWmodel includes functions to calibrate: GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

Diff between GWmodel versions 2.0-8 dated 2019-02-15 and 2.0-9 dated 2019-04-29

 DESCRIPTION           |   13 +++++++------
 MD5                   |   14 +++++++-------
 NAMESPACE             |    3 ++-
 R/bw.gtwr.R           |    8 ++++----
 R/gtwr.R              |   30 +++++++++++++++++++++++++++++-
 R/gwr.multiscale.R    |   27 +++++++++++++++++++++++++--
 R/zzz.r               |    2 +-
 man/gwr.multiscale.rd |    2 +-
 8 files changed, 76 insertions(+), 23 deletions(-)

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Package spsann updated to version 2.2.0 with previous version 2.1-0 dated 2017-06-23

Title: Optimization of Sample Configurations using Spatial Simulated Annealing
Description: Methods to optimize sample configurations using spatial simulated annealing. Multiple objective functions are implemented for various purposes, such as variogram estimation, spatial trend estimation and spatial interpolation. A general purpose spatial simulated annealing function enables the user to define his/her own objective function. Solutions for augmenting existing sample configurations and solving multi-objective optimization problems are available as well.
Author: Alessandro Samuel-Rosa [aut, cre] (<https://orcid.org/0000-0003-0877-1320>), Lucia Helena Cunha dos Anjos [ths] (<https://orcid.org/0000-0003-0063-3521>), Gustavo de Mattos Vasques [ths], Gerard B M Heuvelink [ths] (<https://orcid.org/0000-0003-0959-9358>), Dick Brus [ctb] (<https://orcid.org/0000-0003-2194-4783>), Richard Murray Lark [ctb] (<https://orcid.org/0000-0003-2571-8521>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>), Jon Skoien [ctb], Joshua French [ctb], Pierre Roudier [ctb]
Maintainer: Alessandro Samuel-Rosa <alessandrosamuelrosa@gmail.com>

Diff between spsann versions 2.1-0 dated 2017-06-23 and 2.2.0 dated 2019-04-29

 DESCRIPTION                |   49 ++++---
 MD5                        |   75 +++++------
 NEWS.md                    |   39 +++++
 R/AAA.R                    |    2 
 R/RcppExports.R            |    8 -
 R/check-spsann-arguments.R |   44 ++++--
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 R/optimCLHS.R              |  305 +++++++++++++++++++++++++++++----------------
 R/optimCORR.R              |    2 
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 R/prepare-clhs-covars.R    |    3 
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 man/spsann-package.Rd      |  118 ++++++++---------
 src/RcppExports.cpp        |   16 +-
 vignettes/spsann.Rnw       |   26 +++
 39 files changed, 1149 insertions(+), 877 deletions(-)

More information about spsann at CRAN
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Package serrsBayes updated to version 0.4-0 with previous version 0.3-13 dated 2018-06-05

Title: Bayesian Modelling of Raman Spectroscopy
Description: Sequential Monte Carlo (SMC) algorithms for fitting a generalised additive mixed model (GAMM) to surface-enhanced resonance Raman spectroscopy (SERRS), using the method of Moores et al. (2016) <arXiv:1604.07299>. Multivariate observations of SERRS are highly collinear and lend themselves to a reduced-rank representation. The GAMM separates the SERRS signal into three components: a sequence of Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying baseline; and additive white noise. The parameters of each component of the model are estimated iteratively using SMC. The posterior distributions of the parameters given the observed spectra are represented as a population of weighted particles.
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>), Jake Carson [aut] (<https://orcid.org/0000-0002-7896-0971>), Benjamin Moskowitz [ctb], Kirsten Gracie [dtc], Karen Faulds [dtc] (<https://orcid.org/0000-0002-5567-7399>), Mark Girolami [aut], Engineering and Physical Sciences Research Council [fnd] (EPSRC programme grant ref: EP/L014165/1), University of Warwick [cph]
Maintainer: Matt Moores <mmoores@gmail.com>

Diff between serrsBayes versions 0.3-13 dated 2018-06-05 and 0.4-0 dated 2019-04-29

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 MD5                              |   64 ++--
 NAMESPACE                        |   23 +
 NEWS.md                          |   15 +
 R/RcppExports.R                  |    6 
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 38 files changed, 575 insertions(+), 568 deletions(-)

More information about serrsBayes at CRAN
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Package RcppArmadillo updated to version 0.9.400.2.0 with previous version 0.9.300.2.0 dated 2019-03-22

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.9.300.2.0 dated 2019-03-22 and 0.9.400.2.0 dated 2019-04-29

 ChangeLog                                                |   19 
 DESCRIPTION                                              |    8 
 MD5                                                      |  486 +++++++--------
 inst/NEWS.Rd                                             |   21 
 inst/doc/RcppArmadillo-intro.pdf                         |binary
 inst/doc/RcppArmadillo-sparseMatrix.pdf                  |binary
 inst/include/armadillo                                   |   14 
 inst/include/armadillo_bits/BaseCube_bones.hpp           |    4 
 inst/include/armadillo_bits/Base_bones.hpp               |    5 
 inst/include/armadillo_bits/Base_meat.hpp                |  112 +++
 inst/include/armadillo_bits/Col_bones.hpp                |   12 
 inst/include/armadillo_bits/Col_meat.hpp                 |   10 
 inst/include/armadillo_bits/Cube_bones.hpp               |    2 
 inst/include/armadillo_bits/Cube_meat.hpp                |   74 ++
 inst/include/armadillo_bits/Gen_bones.hpp                |    5 
 inst/include/armadillo_bits/GlueCube_bones.hpp           |    4 
 inst/include/armadillo_bits/Glue_bones.hpp               |   60 -
 inst/include/armadillo_bits/MapMat_bones.hpp             |    5 
 inst/include/armadillo_bits/Mat_bones.hpp                |   23 
 inst/include/armadillo_bits/Mat_meat.hpp                 |  272 ++++++++
 inst/include/armadillo_bits/OpCube_bones.hpp             |   12 
 inst/include/armadillo_bits/Op_bones.hpp                 |  112 ---
 inst/include/armadillo_bits/Proxy.hpp                    |  264 +++++---
 inst/include/armadillo_bits/Row_bones.hpp                |   12 
 inst/include/armadillo_bits/Row_meat.hpp                 |   10 
 inst/include/armadillo_bits/SpBase_bones.hpp             |   17 
 inst/include/armadillo_bits/SpBase_meat.hpp              |   80 ++
 inst/include/armadillo_bits/SpCol_bones.hpp              |    5 
 inst/include/armadillo_bits/SpGlue_bones.hpp             |    9 
 inst/include/armadillo_bits/SpMat_bones.hpp              |   18 
 inst/include/armadillo_bits/SpMat_meat.hpp               |  279 +++++++-
 inst/include/armadillo_bits/SpOp_bones.hpp               |   13 
 inst/include/armadillo_bits/SpProxy.hpp                  |   93 ++
 inst/include/armadillo_bits/SpRow_bones.hpp              |    5 
 inst/include/armadillo_bits/SpSubview_bones.hpp          |    5 
 inst/include/armadillo_bits/SpToDOp_bones.hpp            |only
 inst/include/armadillo_bits/SpToDOp_meat.hpp             |only
 inst/include/armadillo_bits/arma_forward.hpp             |  170 ++---
 inst/include/armadillo_bits/arma_rng.hpp                 |    4 
 inst/include/armadillo_bits/arma_version.hpp             |    4 
 inst/include/armadillo_bits/arrayops_meat.hpp            |   15 
 inst/include/armadillo_bits/auxlib_bones.hpp             |   22 
 inst/include/armadillo_bits/auxlib_meat.hpp              |  141 +++-
 inst/include/armadillo_bits/compiler_setup.hpp           |   32 
 inst/include/armadillo_bits/def_lapack.hpp               |  284 ++++----
 inst/include/armadillo_bits/diagmat_proxy.hpp            |    4 
 inst/include/armadillo_bits/diagview_bones.hpp           |    5 
 inst/include/armadillo_bits/eGlue_bones.hpp              |    5 
 inst/include/armadillo_bits/eOp_bones.hpp                |    5 
 inst/include/armadillo_bits/fn_accu.hpp                  |    2 
 inst/include/armadillo_bits/fn_all.hpp                   |   88 +-
 inst/include/armadillo_bits/fn_any.hpp                   |   88 +-
 inst/include/armadillo_bits/fn_approx_equal.hpp          |    4 
 inst/include/armadillo_bits/fn_as_scalar.hpp             |    2 
 inst/include/armadillo_bits/fn_cumprod.hpp               |   26 
 inst/include/armadillo_bits/fn_cumsum.hpp                |   26 
 inst/include/armadillo_bits/fn_det.hpp                   |    2 
 inst/include/armadillo_bits/fn_diff.hpp                  |   28 
 inst/include/armadillo_bits/fn_dot.hpp                   |    6 
 inst/include/armadillo_bits/fn_eig_sym.hpp               |   51 +
 inst/include/armadillo_bits/fn_find.hpp                  |  152 ++++
 inst/include/armadillo_bits/fn_hist.hpp                  |    6 
 inst/include/armadillo_bits/fn_histc.hpp                 |    4 
 inst/include/armadillo_bits/fn_index_max.hpp             |   71 +-
 inst/include/armadillo_bits/fn_index_min.hpp             |   71 +-
 inst/include/armadillo_bits/fn_max.hpp                   |  156 ++--
 inst/include/armadillo_bits/fn_mean.hpp                  |  144 +---
 inst/include/armadillo_bits/fn_median.hpp                |   45 -
 inst/include/armadillo_bits/fn_min.hpp                   |  155 ++--
 inst/include/armadillo_bits/fn_mvnrnd.hpp                |    4 
 inst/include/armadillo_bits/fn_normalise.hpp             |   25 
 inst/include/armadillo_bits/fn_prod.hpp                  |   72 --
 inst/include/armadillo_bits/fn_range.hpp                 |   43 -
 inst/include/armadillo_bits/fn_reverse.hpp               |   22 
 inst/include/armadillo_bits/fn_shift.hpp                 |   31 
 inst/include/armadillo_bits/fn_shuffle.hpp               |   27 
 inst/include/armadillo_bits/fn_sort.hpp                  |   92 ++
 inst/include/armadillo_bits/fn_stddev.hpp                |   65 --
 inst/include/armadillo_bits/fn_sum.hpp                   |  101 ---
 inst/include/armadillo_bits/fn_trig.hpp                  |    2 
 inst/include/armadillo_bits/fn_unique.hpp                |   19 
 inst/include/armadillo_bits/fn_var.hpp                   |  122 +--
 inst/include/armadillo_bits/fn_vectorise.hpp             |   39 +
 inst/include/armadillo_bits/glue_affmul_bones.hpp        |    8 
 inst/include/armadillo_bits/glue_atan2_bones.hpp         |    1 
 inst/include/armadillo_bits/glue_conv_bones.hpp          |   11 
 inst/include/armadillo_bits/glue_cor_bones.hpp           |   11 
 inst/include/armadillo_bits/glue_cor_meat.hpp            |  168 -----
 inst/include/armadillo_bits/glue_cov_bones.hpp           |   11 
 inst/include/armadillo_bits/glue_cov_meat.hpp            |  151 ----
 inst/include/armadillo_bits/glue_cross_bones.hpp         |   11 
 inst/include/armadillo_bits/glue_hist_bones.hpp          |   39 -
 inst/include/armadillo_bits/glue_hist_meat.hpp           |    9 
 inst/include/armadillo_bits/glue_histc_bones.hpp         |   39 -
 inst/include/armadillo_bits/glue_histc_meat.hpp          |    9 
 inst/include/armadillo_bits/glue_hypot_bones.hpp         |    1 
 inst/include/armadillo_bits/glue_intersect_bones.hpp     |    8 
 inst/include/armadillo_bits/glue_join_bones.hpp          |   16 
 inst/include/armadillo_bits/glue_kron_bones.hpp          |   11 
 inst/include/armadillo_bits/glue_max_bones.hpp           |    1 
 inst/include/armadillo_bits/glue_max_meat.hpp            |    8 
 inst/include/armadillo_bits/glue_min_bones.hpp           |    1 
 inst/include/armadillo_bits/glue_min_meat.hpp            |    8 
 inst/include/armadillo_bits/glue_mixed_bones.hpp         |   12 
 inst/include/armadillo_bits/glue_mvnrnd_bones.hpp        |   43 -
 inst/include/armadillo_bits/glue_mvnrnd_meat.hpp         |   30 
 inst/include/armadillo_bits/glue_polyfit_bones.hpp       |    8 
 inst/include/armadillo_bits/glue_polyval_bones.hpp       |    8 
 inst/include/armadillo_bits/glue_relational_bones.hpp    |    8 
 inst/include/armadillo_bits/glue_solve_bones.hpp         |   16 
 inst/include/armadillo_bits/glue_times_bones.hpp         |   17 
 inst/include/armadillo_bits/glue_times_meat.hpp          |   39 +
 inst/include/armadillo_bits/glue_toeplitz_bones.hpp      |    1 
 inst/include/armadillo_bits/glue_trapz_bones.hpp         |    9 
 inst/include/armadillo_bits/hdf5_misc.hpp                |    4 
 inst/include/armadillo_bits/mtGlueCube_bones.hpp         |    4 
 inst/include/armadillo_bits/mtGlue_bones.hpp             |   22 
 inst/include/armadillo_bits/mtOpCube_bones.hpp           |   12 
 inst/include/armadillo_bits/mtOp_bones.hpp               |   53 -
 inst/include/armadillo_bits/mtSpGlue_bones.hpp           |only
 inst/include/armadillo_bits/mtSpGlue_meat.hpp            |only
 inst/include/armadillo_bits/mtSpOp_bones.hpp             |   13 
 inst/include/armadillo_bits/op_all_bones.hpp             |    1 
 inst/include/armadillo_bits/op_any_bones.hpp             |    1 
 inst/include/armadillo_bits/op_chi2rnd_bones.hpp         |    1 
 inst/include/armadillo_bits/op_chol_bones.hpp            |    1 
 inst/include/armadillo_bits/op_chol_meat.hpp             |   15 
 inst/include/armadillo_bits/op_clamp_bones.hpp           |    1 
 inst/include/armadillo_bits/op_cond_bones.hpp            |    1 
 inst/include/armadillo_bits/op_cor_bones.hpp             |    7 
 inst/include/armadillo_bits/op_cor_meat.hpp              |  126 ++-
 inst/include/armadillo_bits/op_cov_bones.hpp             |    7 
 inst/include/armadillo_bits/op_cov_meat.hpp              |  112 +--
 inst/include/armadillo_bits/op_cumprod_bones.hpp         |    6 
 inst/include/armadillo_bits/op_cumprod_meat.hpp          |    6 
 inst/include/armadillo_bits/op_cumsum_bones.hpp          |    6 
 inst/include/armadillo_bits/op_cumsum_meat.hpp           |    6 
 inst/include/armadillo_bits/op_cx_scalar_bones.hpp       |   12 
 inst/include/armadillo_bits/op_diagmat_bones.hpp         |    2 
 inst/include/armadillo_bits/op_diagvec_bones.hpp         |    1 
 inst/include/armadillo_bits/op_diff_bones.hpp            |    6 
 inst/include/armadillo_bits/op_diff_meat.hpp             |    4 
 inst/include/armadillo_bits/op_dot_bones.hpp             |    4 
 inst/include/armadillo_bits/op_dotext_bones.hpp          |    1 
 inst/include/armadillo_bits/op_expmat_bones.hpp          |    2 
 inst/include/armadillo_bits/op_expmat_meat.hpp           |    2 
 inst/include/armadillo_bits/op_fft_bones.hpp             |    3 
 inst/include/armadillo_bits/op_find_bones.hpp            |    4 
 inst/include/armadillo_bits/op_find_unique_bones.hpp     |    1 
 inst/include/armadillo_bits/op_flip_bones.hpp            |    2 
 inst/include/armadillo_bits/op_hist_bones.hpp            |    3 
 inst/include/armadillo_bits/op_hist_meat.hpp             |   10 
 inst/include/armadillo_bits/op_htrans_bones.hpp          |   16 
 inst/include/armadillo_bits/op_htrans_meat.hpp           |    4 
 inst/include/armadillo_bits/op_index_max_bones.hpp       |    1 
 inst/include/armadillo_bits/op_index_min_bones.hpp       |    1 
 inst/include/armadillo_bits/op_inv_bones.hpp             |    3 
 inst/include/armadillo_bits/op_logmat_bones.hpp          |    3 
 inst/include/armadillo_bits/op_logmat_meat.hpp           |    4 
 inst/include/armadillo_bits/op_max_bones.hpp             |    1 
 inst/include/armadillo_bits/op_mean_bones.hpp            |    1 
 inst/include/armadillo_bits/op_median_bones.hpp          |    1 
 inst/include/armadillo_bits/op_min_bones.hpp             |    1 
 inst/include/armadillo_bits/op_misc_bones.hpp            |    4 
 inst/include/armadillo_bits/op_nonzeros_bones.hpp        |    1 
 inst/include/armadillo_bits/op_norm_bones.hpp            |    1 
 inst/include/armadillo_bits/op_normalise_bones.hpp       |    2 
 inst/include/armadillo_bits/op_orth_null_bones.hpp       |    2 
 inst/include/armadillo_bits/op_pinv_bones.hpp            |    1 
 inst/include/armadillo_bits/op_princomp_bones.hpp        |    1 
 inst/include/armadillo_bits/op_prod_bones.hpp            |    1 
 inst/include/armadillo_bits/op_range_bones.hpp           |    1 
 inst/include/armadillo_bits/op_relational_bones.hpp      |   10 
 inst/include/armadillo_bits/op_repelem_bones.hpp         |    1 
 inst/include/armadillo_bits/op_repmat_bones.hpp          |    1 
 inst/include/armadillo_bits/op_reshape_bones.hpp         |    2 
 inst/include/armadillo_bits/op_resize_bones.hpp          |    1 
 inst/include/armadillo_bits/op_reverse_bones.hpp         |   11 
 inst/include/armadillo_bits/op_reverse_meat.hpp          |   34 -
 inst/include/armadillo_bits/op_roots_bones.hpp           |    1 
 inst/include/armadillo_bits/op_shift_bones.hpp           |    6 
 inst/include/armadillo_bits/op_shift_meat.hpp            |    5 
 inst/include/armadillo_bits/op_shuffle_bones.hpp         |    6 
 inst/include/armadillo_bits/op_shuffle_meat.hpp          |    4 
 inst/include/armadillo_bits/op_sort_bones.hpp            |    6 
 inst/include/armadillo_bits/op_sort_index_bones.hpp      |    2 
 inst/include/armadillo_bits/op_sort_meat.hpp             |    4 
 inst/include/armadillo_bits/op_sp_minus_bones.hpp        |only
 inst/include/armadillo_bits/op_sp_minus_meat.hpp         |only
 inst/include/armadillo_bits/op_sp_plus_bones.hpp         |only
 inst/include/armadillo_bits/op_sp_plus_meat.hpp          |only
 inst/include/armadillo_bits/op_sqrtmat_bones.hpp         |    3 
 inst/include/armadillo_bits/op_sqrtmat_meat.hpp          |    2 
 inst/include/armadillo_bits/op_stddev_bones.hpp          |    1 
 inst/include/armadillo_bits/op_strans_bones.hpp          |   16 
 inst/include/armadillo_bits/op_strans_meat.hpp           |    4 
 inst/include/armadillo_bits/op_sum_bones.hpp             |    1 
 inst/include/armadillo_bits/op_symmat_bones.hpp          |    2 
 inst/include/armadillo_bits/op_toeplitz_bones.hpp        |    2 
 inst/include/armadillo_bits/op_trimat_bones.hpp          |    3 
 inst/include/armadillo_bits/op_unique_bones.hpp          |   14 
 inst/include/armadillo_bits/op_unique_meat.hpp           |   64 +
 inst/include/armadillo_bits/op_var_bones.hpp             |    1 
 inst/include/armadillo_bits/op_vectorise_bones.hpp       |    8 
 inst/include/armadillo_bits/op_vectorise_meat.hpp        |   83 +-
 inst/include/armadillo_bits/op_wishrnd_bones.hpp         |   62 -
 inst/include/armadillo_bits/operator_div.hpp             |   32 
 inst/include/armadillo_bits/operator_minus.hpp           |  149 ++++
 inst/include/armadillo_bits/operator_plus.hpp            |  147 ++++
 inst/include/armadillo_bits/operator_schur.hpp           |   77 ++
 inst/include/armadillo_bits/operator_times.hpp           |   11 
 inst/include/armadillo_bits/spdiagview_bones.hpp         |    5 
 inst/include/armadillo_bits/spglue_elem_helper_bones.hpp |    1 
 inst/include/armadillo_bits/spglue_join_bones.hpp        |   16 
 inst/include/armadillo_bits/spglue_kron_bones.hpp        |    8 
 inst/include/armadillo_bits/spglue_max_bones.hpp         |only
 inst/include/armadillo_bits/spglue_max_meat.hpp          |only
 inst/include/armadillo_bits/spglue_min_bones.hpp         |only
 inst/include/armadillo_bits/spglue_min_meat.hpp          |only
 inst/include/armadillo_bits/spglue_minus_bones.hpp       |    4 
 inst/include/armadillo_bits/spglue_minus_meat.hpp        |   20 
 inst/include/armadillo_bits/spglue_plus_bones.hpp        |    4 
 inst/include/armadillo_bits/spglue_plus_meat.hpp         |   20 
 inst/include/armadillo_bits/spglue_schur_bones.hpp       |    5 
 inst/include/armadillo_bits/spglue_schur_meat.hpp        |   20 
 inst/include/armadillo_bits/spglue_times_bones.hpp       |   28 
 inst/include/armadillo_bits/spglue_times_meat.hpp        |   24 
 inst/include/armadillo_bits/spop_diagmat_bones.hpp       |    2 
 inst/include/armadillo_bits/spop_htrans_bones.hpp        |    8 
 inst/include/armadillo_bits/spop_max_bones.hpp           |    1 
 inst/include/armadillo_bits/spop_mean_bones.hpp          |    1 
 inst/include/armadillo_bits/spop_min_bones.hpp           |    1 
 inst/include/armadillo_bits/spop_misc_bones.hpp          |   22 
 inst/include/armadillo_bits/spop_normalise_bones.hpp     |    1 
 inst/include/armadillo_bits/spop_repmat_bones.hpp        |    1 
 inst/include/armadillo_bits/spop_reverse_bones.hpp       |    1 
 inst/include/armadillo_bits/spop_strans_bones.hpp        |    8 
 inst/include/armadillo_bits/spop_sum_bones.hpp           |    1 
 inst/include/armadillo_bits/spop_symmat_bones.hpp        |    2 
 inst/include/armadillo_bits/spop_trimat_bones.hpp        |    1 
 inst/include/armadillo_bits/spop_var_bones.hpp           |    1 
 inst/include/armadillo_bits/spop_vectorise_bones.hpp     |only
 inst/include/armadillo_bits/spop_vectorise_meat.hpp      |only
 inst/include/armadillo_bits/subview_bones.hpp            |   29 
 inst/include/armadillo_bits/subview_elem1_bones.hpp      |    5 
 inst/include/armadillo_bits/subview_elem2_bones.hpp      |    5 
 inst/include/armadillo_bits/subview_meat.hpp             |   20 
 inst/include/armadillo_bits/traits.hpp                   |  327 ++--------
 inst/include/armadillo_bits/unwrap_spmat.hpp             |   20 
 inst/include/armadillo_bits/xtrans_mat_bones.hpp         |    5 
 inst/include/armadillo_bits/xvec_htrans_bones.hpp        |    5 
 251 files changed, 4543 insertions(+), 2632 deletions(-)

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New package qqid with initial version 1.0.3
Package: qqid
Type: Package
Title: Generation and Support of QQIDs - A Human-Compatible Representation of 128-bit Numbers
Version: 1.0.3
Date: 2019-04-25
Authors@R: c( person("Boris", "Steipe", email = "boris.steipe@utoronto.ca", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1134-6758")) )
Description: The string "bird.carp.7TsBWtwqtKAeCTNk8f" is a "QQID": a representation of a 128-bit number, constructed from two "cues" of short, common, English words, and Base64 encoded characters. The primary intended use of QQIDs is as random unique identifiers, e.g. database keys like the "UUIDs" defined in the RFC 4122 Internet standard. QQIDs can be identically interconverted with UUIDs, IPv6 addresses, MD5 hashes etc., and are suitable for a host of applications in which identifiers are read by humans. They are compact, can safely be transmitted in binary and text form, can be used as components of URLs, and it can be established at a glance whether two QQIDs are different or potentially identical. The qqid package contains functions to retrieve true, quantum-random QQIDs, to generate pseudo- random QQIDs, to validate them, and to interconvert them with other 128-bit number representations.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
LazyData: true
Imports: qrandom
Suggests: covr, digest, testthat
RoxygenNote: 6.1.1
URL: https://github.com/hyginn/qqid
BugReports: https://github.com/hyginn/qqid/issues
NeedsCompilation: no
Packaged: 2019-04-26 03:35:28 UTC; steipe
Author: Boris Steipe [aut, cre] (<https://orcid.org/0000-0002-1134-6758>)
Maintainer: Boris Steipe <boris.steipe@utoronto.ca>
Repository: CRAN
Date/Publication: 2019-04-29 09:40:03 UTC

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New package NBAloveR with initial version 0.1.3.3
Package: NBAloveR
Title: Help Basketball Data Analysis
Version: 0.1.3.3
Authors@R: person("Koki", "Ando", email = "koki.25.ando@gmail.com", role = c("aut", "cre"))
Description: Provides interface to the online basketball data resources such as Basketball reference API <https://www.basketball-reference.com/> and helps R users analyze basketball data.
Depends: R (>= 3.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, ggplot2, plyr, rvest, stringr, xml2
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Imports: magrittr, dplyr, stats, tidyr
NeedsCompilation: no
Packaged: 2019-04-24 23:46:58 UTC; KokiAndo
Author: Koki Ando [aut, cre]
Maintainer: Koki Ando <koki.25.ando@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-29 09:30:03 UTC

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New package cmfilter with initial version 0.9.1
Package: cmfilter
Type: Package
Title: Coordinate-Wise Mediation Filter
Version: 0.9.1
Date: 2019-04-09
Author: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>
Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>
Description: Functions to discover, plot, and select multiple mediators from an x -> M -> y linear system. This exploratory mediation analysis is performed using the Coordinate-wise Mediation Filter as introduced by Van Kesteren and Oberski (2019) <doi: 10.1080/10705511.2019.1588124>.
License: MIT + file LICENCE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Imports: Matrix, sparseMVN, expm, pbapply, MASS, parallel, Rcpp (>= 0.12.13)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-04-26 14:20:16 UTC; 3665364
Repository: CRAN
Date/Publication: 2019-04-29 10:00:03 UTC

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Package Anthropometry updated to version 1.12 with previous version 1.11 dated 2019-03-07

Title: Statistical Methods for Anthropometric Data
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis. Please see Vinue (2017) <doi:10.18637/jss.v077.i06>.
Author: Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

Diff between Anthropometry versions 1.11 dated 2019-03-07 and 1.12 dated 2019-04-29

 DESCRIPTION                      |    8 ++--
 MD5                              |   66 +++++++++++++++++++--------------------
 NEWS                             |    7 ++++
 R/HartiganShapes.R               |   35 +++++++++++++++++---
 R/optraShapes.R                  |   18 +++++++++-
 R/projShapes.R                   |    2 -
 R/qtranShapes.R                  |   19 ++++++++---
 inst/doc/Anthropometry.R         |   20 +++++------
 inst/doc/Anthropometry.Rnw       |   20 +++++------
 inst/doc/Anthropometry.pdf       |binary
 man/Anthropometry-package.Rd     |    4 +-
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 man/TDDclust.Rd                  |    5 +-
 man/archetypesBoundary.Rd        |    5 +-
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 man/computSizesTrimowa.Rd        |    5 +-
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 man/percentilsArchetypoid.Rd     |    4 +-
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 man/xyplotPCArchetypes.Rd        |    5 +-
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 34 files changed, 215 insertions(+), 136 deletions(-)

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New package sobolnp with initial version 0.1.0
Package: sobolnp
Type: Package
Title: Nonparametric Sobol Estimator with Bootstrap Bandwidth
Version: 0.1.0
Author: Maikol Solís <maikol.solis@ucr.ac.cr>
Maintainer: Maikol Solís <maikol.solis@ucr.ac.cr>
Description: Algorithm to estimate the Sobol indices using a non-parametric fit of the regression curve. The bandwidth is estimated using bootstrap to reduce the finite-sample bias. The package is based on the paper Solís, M. (2018) <arXiv:1803.03333>.
License: MIT + file LICENSE
URL: https://github.com/maikol-solis/sobolnp/
BugReports: https://github.com/maikol-solis/sobolnp/issues
Imports: np, minqa, pbmcapply
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-24 12:47:02 UTC; maikol
Repository: CRAN
Date/Publication: 2019-04-29 08:40:02 UTC

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Package osrm updated to version 3.3.0 with previous version 3.2.0 dated 2019-01-24

Title: Interface Between R and the OpenStreetMap-Based Routing Service OSRM
Description: An interface between R and the OSRM API. OSRM is a routing service based on OpenStreetMap data. See <http://project-osrm.org/> for more information. This package allows to compute distances (travel time and kilometric distance) between points and travel time matrices.
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Robin Cura [ctb], Matthieu Viry [ctb]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between osrm versions 3.2.0 dated 2019-01-24 and 3.3.0 dated 2019-04-29

 DESCRIPTION          |   22 ++--
 MD5                  |   34 +++----
 NAMESPACE            |   10 ++
 NEWS                 |   11 ++
 R/osrmIsochrone.R    |  142 ++++++++++++++----------------
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 R/osrmTable.R        |   65 ++++++-------
 R/osrmTrip.R         |   94 ++++++--------------
 R/package.R          |   10 +-
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 data/berlin.RData    |binary
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 19 files changed, 429 insertions(+), 609 deletions(-)

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Package lcc updated to version 1.0.2 with previous version 1.0.1 dated 2019-02-13

Title: Longitudinal Concordance Correlation
Description: Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>. In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.
Author: Thiago de Paula Oliveira [aut, cre], Rafael de Andrade Moral [aut], John Hinde [aut], Silvio Sandoval Zocchi [ctb], Clarice Garcia Borges Demetrio [ctb]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@usp.br>

Diff between lcc versions 1.0.1 dated 2019-02-13 and 1.0.2 dated 2019-04-29

 DESCRIPTION         |   14 +-
 MD5                 |   52 ++++----
 NAMESPACE           |    1 
 NEWS.md             |only
 R/CCC.R             |    6 
 R/ciBuilder.R       |   41 ++++--
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 R/lccModel.R        |    9 -
 R/lccSummary.R      |   10 +
 R/lccWrapper.R      |    2 
 R/plotBuilder_la.R  |   42 +++---
 R/plotBuilder_lcc.R |   44 +++----
 R/plotBuilder_lpc.R |   44 +++----
 R/plotControl.R     |   72 ++++++-----
 R/plot_lcc.R        |   13 +-
 R/plotmethod_lcc.R  |  161 +++++++++++++++++--------
 R/time_lcc.R        |   16 +-
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 man/plot_lcc.Rd     |    6 
 man/summary.lcc.Rd  |   38 ++++--
 man/time_lcc.Rd     |   10 +
 28 files changed, 853 insertions(+), 442 deletions(-)

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Package parsec updated to version 1.2.3 with previous version 1.2.2 dated 2019-03-30

Title: Partial Orders in Socio-Economics
Description: Implements tools for the analysis of partially ordered data, with a particular focus on the evaluation of multidimensional systems of indicators and on the analysis of poverty. References, Fattore M. (2016) <doi:10.1007/s11205-015-1059-6> Fattore M., Arcagni A. (2016) <doi:10.1007/s11205-016-1501-4> Arcagni A. (2017) <doi:10.1007/978-3-319-45421-4_19>.
Author: Alberto Arcagni [aut, cre], Marco Fattore [aut]
Maintainer: Alberto Arcagni <alberto.arcagni@unimib.it>

Diff between parsec versions 1.2.2 dated 2019-03-30 and 1.2.3 dated 2019-04-29

 DESCRIPTION                 |    8 +++----
 MD5                         |   18 +++++++++--------
 R/MRP.R                     |   19 +++++++++++++++---
 R/MRPlex.R                  |only
 R/average_ranks.incidence.R |    6 ++---
 R/evaluation.R              |   10 +++++++--
 R/pop2prof.R                |   45 +++++++++++++++++++++++++++++---------------
 man/MRP.Rd                  |   11 ++++++++--
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 11 files changed, 95 insertions(+), 42 deletions(-)

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Package rollply (with last version 0.5.0) was removed from CRAN

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

2016-03-24 0.5.0
2015-09-21 0.4.2

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New package ggdmc with initial version 0.2.6.0
Package: ggdmc
Type: Package
Title: Cognitive Models
Version: 0.2.6.0
Date: 2019-04-29
Author: Yi-Shin Lin [aut, cre], Andrew Heathcote [aut]
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Hierarchical Bayesian models. The package provides tools to fit two response time models, using the population-based Markov Chain Monte Carlo.
License: GPL-2
URL: https://github.com/yxlin/ggdmc
BugReports: https://github.com/yxlin/ggdmc/issues
LazyData: TRUE
Imports: Rcpp (>= 0.12.10), coda, stats, utils, ggplot2, matrixStats, data.table (>= 1.10.4)
Depends: R (>= 3.3.0)
LinkingTo: Rcpp (>= 0.12.10), RcppArmadillo (>= 0.7.100.3.0)
Suggests: testthat
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-04-28 22:51:49 UTC; yslin
Repository: CRAN
Date/Publication: 2019-04-29 05:10:03 UTC

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Package forecast updated to version 8.7 with previous version 8.6 dated 2019-04-16

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.6 dated 2019-04-16 and 8.7 dated 2019-04-29

 DESCRIPTION                  |    6 +++---
 MD5                          |   28 ++++++++++++++--------------
 NEWS.md                      |    4 ++++
 R/arima.R                    |    8 +++++---
 R/checkresiduals.R           |    6 ++++--
 R/data.R                     |   20 ++------------------
 R/ggplot.R                   |    2 +-
 R/mstl.R                     |    9 +++++++--
 R/newarima2.R                |   16 +++++++++++-----
 R/unitRoot.R                 |   22 ++++++++++++++--------
 inst/doc/JSS2008.pdf         |binary
 man/wineind.Rd               |    2 +-
 man/woolyrnq.Rd              |    2 +-
 tests/testthat/Rplots.pdf    |binary
 tests/testthat/test-season.R |    3 +++
 15 files changed, 70 insertions(+), 58 deletions(-)

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New package colourlovers with initial version 0.3.0
Package: colourlovers
Version: 0.3.0
Date: 2019-04-28
Title: R Client for the COLOURlovers API
Authors@R: c(person("Andrew", "Heiss", role = c("aut", "cre"), email = "andrew@andrewheiss.com", comment = c(ORCID = "0000-0002-3948-3914")), person("Thomas J.", "Leeper", role = c("aut"), email = "thosjleeper@gmail.com", comment = c(ORCID = "0000-0003-4097-6326")) )
Imports: XML, jsonlite, httr, png, graphics, utils
Suggests: httptest, testthat
Description: Provides access to the COLOURlovers <http://www.colourlovers.com/> API, which offers color inspiration and color palettes.
License: GPL-2
URL: https://github.com/andrewheiss/colourlovers
BugReports: https://github.com/andrewheiss/colourlovers/issues
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-29 04:44:26 UTC; andrew
Author: Andrew Heiss [aut, cre] (<https://orcid.org/0000-0002-3948-3914>), Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>)
Maintainer: Andrew Heiss <andrew@andrewheiss.com>
Repository: CRAN
Date/Publication: 2019-04-29 05:10:08 UTC

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Package hR updated to version 0.1.9 with previous version 0.1.8 dated 2019-03-24

Title: Toolkit for Data Analytics in Human Resources
Description: Transform and analyze workforce data in meaningful ways for human resources (HR) analytics. Two functions, 'hierarchyLong' and 'hierarchyWide', convert standard employee and supervisor relationship data into useful formats. A 'workforcePlan' app is available for simple workforce planning.
Author: Dale Kube [aut, cre]
Maintainer: Dale Kube <dkube@uwalumni.com>

Diff between hR versions 0.1.8 dated 2019-03-24 and 0.1.9 dated 2019-04-29

 hR-0.1.8/hR/inst/workforcePlanApp/rsconnect |only
 hR-0.1.9/hR/DESCRIPTION                     |    6 
 hR-0.1.9/hR/MD5                             |    7 
 hR-0.1.9/hR/inst/doc/hR.html                |  277 +++++++++++------------
 hR-0.1.9/hR/inst/workforcePlanApp/app.R     |  333 +++++++++++++++-------------
 5 files changed, 327 insertions(+), 296 deletions(-)

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