Mon, 17 Apr 2017

Package RandomFields updated to version 3.1.50 with previous version 3.1.48 dated 2017-04-16

Title: Simulation and Analysis of Random Fields
Description: Methods for the inference on and the simulation of Gaussian fields are provided, as well as methods for the simulation of extreme value random fields.
Author: Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Christoph Berreth [ctr], Katharina Burmeister [ctb], Juliane Manitz [ctb], Paulo Ribeiro [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>

Diff between RandomFields versions 3.1.48 dated 2017-04-16 and 3.1.50 dated 2017-04-17

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New package CADStat with initial version 3.0.7
Package: CADStat
Version: 3.0.7
Date: 2017-04-17
Title: Provides a GUI to Several Statistical Methods
Author: Lester Yuan, Tom Stockton, Doug Bronson, Pasha Minallah, and Mark Fitzgerald
Maintainer: David Rebhuhn <rebhuhn.david@epa.gov>
Depends: R (>= 2.15.0), JGR (>= 1.7-10)
Imports: rJava, XML, lattice, bio.infer, gdata, gmodels, quantreg, rpart, JavaGD, car, MASS, iplots, SparseM, MatrixModels, gtools, png, pbkrtest, lme4, minqa, Rcpp, nloptr
Description: Using Java GUI for R (JGR), CADStat provides a user interface for several statistical methods - scatterplot, boxplot, linear regression, generalized linear regression, quantile regression, conditional probability calculations, and regression trees.
License: GPL (>= 2)
URL: http://www.rforge.net/CADStat/
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-17 20:00:51 UTC; drebhuhn
Repository: CRAN
Date/Publication: 2017-04-17 23:25:59 UTC

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Package PAFit updated to version 0.9.8.8 with previous version 0.9.8.3 dated 2017-03-13

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongpham@thongpham.net>

Diff between PAFit versions 0.9.8.3 dated 2017-03-13 and 0.9.8.8 dated 2017-04-17

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New package l1kdeconv with initial version 1.1.0
Package: l1kdeconv
Type: Package
Title: Deconvolution for LINCS L1000 Data
Version: 1.1.0
Date: 2017-04-15
Author: Zhao Li[aut], Peng Yu[aut, cre]
Maintainer: Zhao Li <lizhao.informatics@gmail.com>
Description: LINCS L1000 is a high-througphput technology that allows the gene expression measurement in a large number of assays. However, to fit the measurements of ~1000 genes in the ~500 color channels of LINCS L1000, every two landmark genes are designed to share a single channel. Thus, a deconvolution step is required to infer the expression values of each gene. Any errors in this step can be propagated adversely to the downstream analyses. We present a LINCS L1000 data peak calling R package l1kdeconv based on a new outlier detection method and an aggregate Gaussian mixture model (AGMM). Upon the remove of outliers and the borrowing information among similar samples, l1kdeconv shows more stable and better performance than methods commonly used in LINCS L1000 data deconvolution.
Imports: stats
License: GPL (>= 2)
Depends: R (>= 3.2.0)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-17 22:28:29 UTC; zhao
Repository: CRAN
Date/Publication: 2017-04-17 23:00:19 UTC

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New package icosa with initial version 0.9.80
Package: icosa
Title: Global Triangular and Penta-Hexagonal Grids Based on Tessellated Icosahedra
Version: 0.9.80
Authors@R: person("Adam T.", "Kocsis", email = "adam.kocsis@outlook.com", role = c("aut", "cre"))
Description: Employs triangular tessellation to refine icosahedra defined in 3d space. The procedures can be set to provide a grid with a custom resolution. Both the primary triangular and their inverted penta- hexagonal grids are available for implementation. Additional functions are provided to position points (latitude-longitude data) on the grids, to allow 2D and 3D plotting, use raster data and shapefiles.
Depends: R (>= 3.2.2), rgl
Date: 2017-04-17
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
LinkingTo: Rcpp
Imports: Rcpp, sp, raster, igraph, rgdal, methods
NeedsCompilation: yes
Packaged: 2017-04-17 17:45:10 UTC; kocsis
Author: Adam T. Kocsis [aut, cre]
Maintainer: Adam T. Kocsis <adam.kocsis@outlook.com>
Repository: CRAN
Date/Publication: 2017-04-17 22:54:10 UTC

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New package glue with initial version 1.0.0
Package: glue
Title: Interpreted String Literals
Version: 1.0.0
Authors@R: person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut", "cre"))
Description: An implementation of interpreted string literals, inspired by Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals <https://docs.julialang.org/en/stable/manual/strings/#triple-quoted-string-literals>.
Depends: R (>= 3.0.0)
Suggests: testthat, covr, magrittr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-04-17 18:33:26 UTC; jhester
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Repository: CRAN
Date/Publication: 2017-04-17 22:29:19 UTC

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Package ForestTools updated to version 0.1.4 with previous version 0.1.2 dated 2017-03-20

Title: Analysing Remotely Sensed Forest Data
Description: Provides tools for analyzing remotely sensed forest data, including functions for detecting treetops from canopy models, outlining tree crowns and generating spatial statistics.
Author: Andrew Plowright
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

Diff between ForestTools versions 0.1.2 dated 2017-03-20 and 0.1.4 dated 2017-04-17

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Package LEGIT updated to version 1.0.4 with previous version 1.0.3 dated 2017-04-09

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).
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 largeList updated to version 0.3.1 with previous version 0.3.0 dated 2016-11-05

Title: Serialization Interface for Large List Objects
Description: Functions to write or append a R list to a file, as well as read, remove, modify elements from it without restoring the whole list.
Author: Yuchun Zhang
Maintainer: Yuchun Zhang <yczhangvrc@gmail.com>

Diff between largeList versions 0.3.0 dated 2016-11-05 and 0.3.1 dated 2017-04-17

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Package convey updated to version 0.2.0 with previous version 0.1.0 dated 2016-06-24

Title: Income Concentration Analysis with Complex Survey Samples
Description: Variance estimation on indicators of income concentration and poverty using complex sample survey designs. Wrapper around the survey package.
Author: Djalma Pessoa [aut, cre], Anthony Damico [aut], Guilherme Jacob [aut]
Maintainer: Djalma Pessoa <pessoad@gmail.com>

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More information about convey at CRAN
Permanent link

New package metaplot with initial version 0.1.1
Package: metaplot
Type: Package
Title: Formalized Plots for Self-Describing Data
Version: 0.1.1
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Creates fully-annotated plots with minimum guidance. Since the data is self-describing, less effort is needed for creating the plot. Generally expects data of class folded (see fold package). If attributes GUIDE and LABEL are present, they will be used to create formal axis labels. Several aesthetics are supported, such as reference lines, unity lines, smooths, and log transformations.
Imports: encode, lattice, magrittr, lazyeval, dplyr, fold,
Suggests: spec, tidyr, csv
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-17 17:19:39 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-04-17 18:30:57 UTC

More information about metaplot at CRAN
Permanent link

Package h2o updated to version 3.10.4.4 with previous version 3.10.3.6 dated 2017-02-22

Title: R Interface for H2O
Description: R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.
Author: The H2O.ai team
Maintainer: Tom Kraljevic <tomk@0xdata.com>

Diff between h2o versions 3.10.3.6 dated 2017-02-22 and 3.10.4.4 dated 2017-04-17

 DESCRIPTION                    |    8 
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 85 files changed, 1154 insertions(+), 763 deletions(-)

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Package globals updated to version 0.10.0 with previous version 0.9.0 dated 2017-03-12

Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown" or "free") objects in R expressions by code inspection using various strategies, e.g. conservative or liberal. The objective of this package is to make it as simple as possible to identify global objects for the purpose of exporting them in distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between globals versions 0.9.0 dated 2017-03-12 and 0.10.0 dated 2017-04-17

 DESCRIPTION          |   15 ++-
 MD5                  |   39 +++++-----
 NEWS                 |   19 +++++
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 R/cleanup.R          |   11 +-
 R/findGlobals.R      |  192 ++++++++++++++++++++++++++++++++++-----------------
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 R/packagesOf.R       |    3 
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 tests/conservative.R |   39 +++++-----
 tests/dotdotdot.R    |   72 +++++++++----------
 tests/formulas.R     |only
 tests/globalsOf.R    |  186 ++++++++++++++++++++++++++-----------------------
 tests/liberal.R      |   39 +++++-----
 tests/utils.R        |   76 ++++++++++----------
 tests/walkAST.R      |   55 ++++++++------
 21 files changed, 629 insertions(+), 470 deletions(-)

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New package reportROC with initial version 1.0
Package: reportROC
Type: Package
Title: An Easy Way to Report ROC Analysis
Version: 1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, SEN (sensitivity), SPE (specificity), AUC (Area Under Curve), AUC.SE (the standard error of AUC), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value).
License: GPL-3
Depends: R (>= 3.3.3)
Imports: pROC
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-04-17 15:07:44 UTC; dgdzc
Repository: CRAN
Date/Publication: 2017-04-17 17:38:13 UTC

More information about reportROC at CRAN
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Package OpenImageR updated to version 1.0.5 with previous version 1.0.4 dated 2017-02-11

Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform and the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library.
Author: Lampros Mouselimis [aut, cre], Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between OpenImageR versions 1.0.4 dated 2017-02-11 and 1.0.5 dated 2017-04-17

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 NAMESPACE                            |    2 
 NEWS.md                              |    5 
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 README.md                            |    1 
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 src/RcppExports.cpp                  |   12 
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 11 files changed, 390 insertions(+), 323 deletions(-)

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Package IsoplotR updated to version 0.11 with previous version 0.10 dated 2017-01-08

Title: Statistical Toolbox for Radiometric Geochronology
Description: An R implementation of Ken Ludwig's popular Isoplot add-in to Microsoft Excel. Currently plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using the 'York' approach. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith' plots). Constructs Re-Os, Sm-Nd and Rb-Sr isochrons. Future versions will include functionality for Lu-Hf and U-series dating methods. A graphical user interface is provided as an RStudio Shiny app at <http://isoplotr.london-geochron.com>.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotR versions 0.10 dated 2017-01-08 and 0.11 dated 2017-04-17

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 53 files changed, 1330 insertions(+), 902 deletions(-)

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Package fold updated to version 0.1.1 with previous version 0.1 dated 2017-04-13

Title: A Self-Describing Dataset Format and Interface
Description: Defines a compact data format that includes metadata. The function fold() creates the format by converting from data.frame, and unfold() converts back. The predictability of the folded format supports reusability of data processing tools, while the presence of embedded metadata improves portability, interpretability, and efficiency.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between fold versions 0.1 dated 2017-04-13 and 0.1.1 dated 2017-04-17

 DESCRIPTION                  |    8 ++++----
 MD5                          |    8 +++++---
 NAMESPACE                    |    2 ++
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 man/as.folded.definitions.Rd |only
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 6 files changed, 48 insertions(+), 7 deletions(-)

More information about fold at CRAN
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Package EpiILM updated to version 1.1 with previous version 1.0 dated 2017-04-14

Title: Spatial and Network Based Individual Level Models for Epidemics
Description: Provides tools for simulating from individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
Author: Vineetha Warriyar. K. V. and Rob Deardon
Maintainer: Vineetha Warriyar. K. V. <vineethawarriyar.kod@ucalgary.ca>

Diff between EpiILM versions 1.0 dated 2017-04-14 and 1.1 dated 2017-04-17

 DESCRIPTION |   12 ++++++------
 MD5         |    2 +-
 2 files changed, 7 insertions(+), 7 deletions(-)

More information about EpiILM at CRAN
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Package ifaTools updated to version 0.14 with previous version 0.13 dated 2016-09-08

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

Diff between ifaTools versions 0.13 dated 2016-09-08 and 0.14 dated 2017-04-17

 DESCRIPTION                                |   10 ++++----
 MD5                                        |   34 +++++++++++++++--------------
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Package icamix updated to version 1.0.6 with previous version 1.0.5 dated 2017-01-17

Title: Estimation of ICA Mixture Models
Description: Provides R functions which facilitate the estimation of ICA mixture models. We have developed and implemented the NSMM-ICA algorithm that currently integrates npEM and Fast-ICA for non-parametric estimation of ICA mixture models (Zhu, X., & Hunter, D.R., 2016 <DOI:10.1080/10485252.2016.1225049> and Zhu, X., & Hunter, D.R., 2015 <arXiv:1510.08178>). This is a new tool for unsupervised clustering.
Author: Xiaotian Zhu, David R. Hunter
Maintainer: Xiaotian Zhu <xzhu@natera.com>

Diff between icamix versions 1.0.5 dated 2017-01-17 and 1.0.6 dated 2017-04-17

 DESCRIPTION           |   10 +++++-----
 MD5                   |    7 ++++---
 NAMESPACE             |   12 ++++++++++--
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 5 files changed, 26 insertions(+), 15 deletions(-)

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New package ompr with initial version 0.6.0
Package: ompr
Type: Package
Title: Model and Solve Mixed Integer Linear Programs
Version: 0.6.0
Authors@R: person("Dirk", "Schumacher", email = "mail@dirk-schumacher.net", role = c("aut", "cre", "cph"))
Description: Model mixed integer linear programs in an algebraic way directly in R. The model is solver-independent and thus offers the possibility to solve a model with different solvers. It currently only supports linear constraints and objective functions. See the 'ompr' website <https://dirkschumacher.github.io/ompr> for more information, documentation and examples.
License: GPL-3 | file LICENSE
LazyData: TRUE
RoxygenNote: 6.0.1
URL: https://github.com/dirkschumacher/ompr
BugReports: https://github.com/dirkschumacher/ompr/issues
Depends: R (>= 3.2.0)
Imports: dplyr, lazyeval, Rcpp
Suggests: magrittr, testthat
ByteCompile: Yes
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-04-17 13:59:07 UTC; dirkschumacher
Author: Dirk Schumacher [aut, cre, cph]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>
Repository: CRAN
Date/Publication: 2017-04-17 14:52:25 UTC

More information about ompr at CRAN
Permanent link

New package Inventorymodel with initial version 1.0.3
Encoding: latin1
Package: Inventorymodel
Title: Inventory Models
Version: 1.0.3
Date: 2017-04-17
Author: Alejandro Saavedra Nieves
Maintainer: Alejandro Saavedra Nieves <alejandro.saavedra.nieves@gmail.com>
Depends: R(>= 2.15.0),e1071, GameTheoryAllocation
Description: Determination of the optimal policy in inventory problems from a game-theoretic perspective.
License: GPL-2
LazyLoad: yes
Packaged: 2017-04-17 08:44:03 UTC; Alejandro
Repository: CRAN
Date/Publication: 2017-04-17 15:27:07 UTC
NeedsCompilation: no

More information about Inventorymodel at CRAN
Permanent link

Package crunch updated to version 1.16.0 with previous version 1.15.2 dated 2017-03-23

Title: Crunch.io Data Tools
Description: The Crunch.io service <http://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal@crunch.io>

Diff between crunch versions 1.15.2 dated 2017-03-23 and 1.16.0 dated 2017-04-17

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 108 files changed, 1487 insertions(+), 1253 deletions(-)

More information about crunch at CRAN
Permanent link

Package Momocs updated to version 1.1.6 with previous version 1.1.0 dated 2016-10-25

Title: Morphometrics using R
Description: A complete toolkit for morphometrics, from data extraction to multivariate analyses. Most common 2D morphometrics approaches are included: outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. Momocs allows reproducible, complex morphometric analyses, paves the way for a pure open-source workflow in R, and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.
Author: Vincent Bonhomme [aut, cre], Julien Claude [aut]
Maintainer: Vincent Bonhomme <bonhomme.vincent@gmail.com>

Diff between Momocs versions 1.1.0 dated 2016-10-25 and 1.1.6 dated 2017-04-17

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More information about Momocs at CRAN
Permanent link

Package fdasrvf updated to version 1.8.0 with previous version 1.7.0 dated 2016-09-15

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <arXiv:1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker <jdtuck@sandia.gov>
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 1.7.0 dated 2016-09-15 and 1.8.0 dated 2017-04-17

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Package elementR updated to version 1.3.1 with previous version 1.3.0 dated 2017-03-06

Title: A Set of R6 Classes & a Shiny Application for Reducing Elemental LA-ICPMS Data from Solid Structures
Description: Aims to facilitate the reduction of elemental microchemistry data from solid-phase LA-ICPMS analysis (laser ablation inductive coupled plasma mass spectrometry). The elementR package provides a reactive and user friendly interface for conducting all steps needed for an optimal data reduction while leaving maximum control for user.
Author: Charlotte Sirot, Francois Guilhaumon
Maintainer: Charlotte Sirot <charlott.sirot@gmail.com>

Diff between elementR versions 1.3.0 dated 2017-03-06 and 1.3.1 dated 2017-04-17

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Package wsrf updated to version 1.7.13 with previous version 1.7.10 dated 2017-03-28

Title: Weighted Subspace Random Forest for Classification
Description: A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) <DOI:10.4018/jdwm.2012040103>. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.
Author: Qinghan Meng [aut], He Zhao [aut, cre], Graham J. Williams [aut], Junchao Lv [aut], Baoxun Xu [aut], Joshua Zhexue Huang [aut]
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

Diff between wsrf versions 1.7.10 dated 2017-03-28 and 1.7.13 dated 2017-04-17

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Package brms updated to version 1.6.1 with previous version 1.6.0 dated 2017-04-06

Title: Bayesian Regression Models using Stan
Description: Fit Bayesian generalized (non-)linear multilevel models using Stan for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation.
Author: Paul-Christian Bürkner [aut, cre]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

Diff between brms versions 1.6.0 dated 2017-04-06 and 1.6.1 dated 2017-04-17

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Package pollen updated to version 0.52.00 with previous version 0.50.0 dated 2016-11-20

Title: Analysis of Aerobiological Data
Description: Supports analysis of aerobiological data. Available features include determination of pollen season limits, replacement of outliers (Kasprzyk and Walanus (2014) <doi:10.1007/s10453-014-9332-8>), and calculation of growing degree days.
Author: Jakub Nowosad [aut, cre]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between pollen versions 0.50.0 dated 2016-11-20 and 0.52.00 dated 2017-04-17

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