Thu, 11 Jan 2018

Package rSQM updated to version 1.3.14 with previous version 1.2.42 dated 2017-09-25

Title: Statistical Downscaling Toolkit for Climate Change Scenario using Non Parametric Quantile Mapping
Description: Conducts statistical downscaling of daily CMIP5 (Coupled Model Intercomparison Project 5) climate change scenario data at a station level using empirical quantile mapping method by Jaepil Cho et al. (2016) <doi:10.1002/ird.2035>.
Author: Jaepil Cho [aut], Wonil Cho [aut, cre], Imgook Jung [aut]
Maintainer: Wonil Cho <climate.service@apcc21.org>

Diff between rSQM versions 1.2.42 dated 2017-09-25 and 1.3.14 dated 2018-01-11

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Package Rhpc updated to version 0.18-12 with previous version 0.17-353 dated 2017-12-19

Title: Permits *apply() Style Dispatch for 'HPC'
Description: Function of apply style using 'MPI' provides better 'HPC' environment on R. And this package supports long vector, can deal with slightly big data.
Author: Junji NAKANO <nakanoj@ism.ac.jp> and Ei-ji Nakama<nakama@com-one.com>
Maintainer: Ei-ji Nakama <nakama@com-one.com>

Diff between Rhpc versions 0.17-353 dated 2017-12-19 and 0.18-12 dated 2018-01-11

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Package coga updated to version 0.2.2 with previous version 0.2.1 dated 2017-07-27

Title: Convolution of Gamma Distributions
Description: Convolution of gamma distributions in R. The convolution of gamma distributions is the sum of series of gamma distributions and all gamma distributions here can have different parameters. This package can calculate density, distribution function and do simulation work.
Author: Chaoran Hu [aut, cre], Vladimir Pozdnyakov [ths], Jun Yan [ths]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>

Diff between coga versions 0.2.1 dated 2017-07-27 and 0.2.2 dated 2018-01-11

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Package text2vec updated to version 0.5.1 with previous version 0.5.0 dated 2017-08-08

Title: Modern Text Mining Framework for R
Description: Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.
Author: Dmitriy Selivanov [aut, cre, cph], Qing Wang [aut, cph] (Author of the WaprLDA C++ code)
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>

Diff between text2vec versions 0.5.0 dated 2017-08-08 and 0.5.1 dated 2018-01-11

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Package soilDB updated to version 2.0 with previous version 1.8.14 dated 2017-11-16

Title: Soil Database Interface
Description: A collection of functions for reading data from USDA-NCSS soil databases.
Author: D.E. Beaudette and J. Skovlin, and S.M. Roecker
Maintainer: D.E. Beaudette <dylan.beaudette@ca.usda.gov>

Diff between soilDB versions 1.8.14 dated 2017-11-16 and 2.0 dated 2018-01-11

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Package recipes updated to version 0.1.2 with previous version 0.1.1 dated 2017-11-20

Title: Preprocessing Tools to Create Design Matrices
Description: An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between recipes versions 0.1.1 dated 2017-11-20 and 0.1.2 dated 2018-01-11

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Package dotCall64 updated to version 0.9-5.2 with previous version 0.9-5 dated 2017-12-12

Title: Enhanced Foreign Function Interface Supporting Long Vectors
Description: Provides .C64(), which is an enhanced version of .C() and .Fortran() from the foreign function interface. .C64() supports long vectors, arguments of type 64-bit integer, and provides a mechanism to avoid unnecessary copies of read-only and write-only arguments. This makes it a convenient and fast interface to C/C++ and Fortran code.
Author: Kaspar Moesinger [aut], Florian Gerber [cre, ctb], Reinhard Furrer [ctb]
Maintainer: Florian Gerber <florian.gerber@math.uzh.ch>

Diff between dotCall64 versions 0.9-5 dated 2017-12-12 and 0.9-5.2 dated 2018-01-11

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Package bigmemory updated to version 4.5.33 with previous version 4.5.30 dated 2017-11-20

Title: Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Description: Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.
Author: Michael J. Kane <kaneplusplus@gmail.com>, John W. Emerson <jayemerson@gmail.com>, Peter Haverty <haverty.peter@gene.com>, and Charles Determan Jr. <cdetermanjr@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between bigmemory versions 4.5.30 dated 2017-11-20 and 4.5.33 dated 2018-01-11

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Package bayesSurv updated to version 3.2 with previous version 3.1 dated 2017-09-24

Title: Bayesian Survival Regression with Flexible Error and Random Effects Distributions
Description: Contains Bayesian implementations of Mixed-Effects Accelerated Failure Time (MEAFT) models for censored data. Those can be not only right-censored but also interval-censored, doubly-interval-censored or misclassified interval-censored.
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>

Diff between bayesSurv versions 3.1 dated 2017-09-24 and 3.2 dated 2018-01-11

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Package AlleleRetain updated to version 2.0.2 with previous version 1.3.4 dated 2017-08-15

Title: Allele Retention, Inbreeding, and Demography
Description: Simulate the effect of management or demography on allele retention and inbreeding accumulation in bottlenecked populations of animals with overlapping generations.
Author: Emily L. Weiser
Maintainer: Emily Weiser <emily.l.weiser@gmail.com>

Diff between AlleleRetain versions 1.3.4 dated 2017-08-15 and 2.0.2 dated 2018-01-11

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Package tsdf updated to version 1.1-4 with previous version 1.1-2 dated 2017-09-06

Title: Two-/Three-Stage Designs for Phase 1&2 Clinical Trials
Description: Calculate optimal Zhong's two-/three-stage Phase II designs (see Zhong (2012) <doi:10.1016/j.cct.2012.07.006>). Generate Target Toxicity decision table for Phase I dose-finding (Two-/three-stage). This package also allows users to run dose-finding simulations based on customized decision table.
Author: Wenchuan Guo, Bob Zhong
Maintainer: Wenchuan Guo <wguo007@ucr.edu>

Diff between tsdf versions 1.1-2 dated 2017-09-06 and 1.1-4 dated 2018-01-11

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Package trackdem updated to version 0.3.1 with previous version 0.3 dated 2017-11-29

Title: Particle Tracking and Demography
Description: Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.
Author: Marjolein Bruijning, Marco D. Visser, Caspar A. Hallmann, Eelke Jongejans
Maintainer: Marjolein Bruijning <m.bruijning@science.ru.nl>

Diff between trackdem versions 0.3 dated 2017-11-29 and 0.3.1 dated 2018-01-11

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Package sjlabelled updated to version 1.0.6 with previous version 1.0.5 dated 2017-11-09

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjlabelled versions 1.0.5 dated 2017-11-09 and 1.0.6 dated 2018-01-11

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Package irlba updated to version 2.3.2 with previous version 2.3.1 dated 2017-10-18

Title: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
Description: Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
Author: Jim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]
Maintainer: B. W. Lewis <blewis@illposed.net>

Diff between irlba versions 2.3.1 dated 2017-10-18 and 2.3.2 dated 2018-01-11

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Package esmprep updated to version 0.1.3 with previous version 0.1.0 dated 2017-08-30

Title: Data Preparation During and After the Use of the Experience Sampling Methodology (ESM)
Description: Support in preparing a raw ESM dataset for statistical analysis. Preparation includes the handling of errors (mostly due to technological reasons) and the generating of new variables that are necessary and/or helpful in meeting the conditions when statistically analyzing ESM data. The functions in 'esmprep' are meant to hierarchically lead from bottom, i.e. the raw (separated) ESM dataset(s), to top, i.e. a single ESM dataset ready for statistical analysis. This hierarchy evolved out of my personal experience in working with ESM data.
Author: Marcel Miché <esmprep@gmail.com>
Maintainer: Marcel Miché <esmprep@gmail.com>

Diff between esmprep versions 0.1.0 dated 2017-08-30 and 0.1.3 dated 2018-01-11

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Package kexpmv updated to version 0.0.3 with previous version 0.0.2 dated 2018-01-11

Title: Matrix Exponential using Krylov Subspace Routines
Description: Implements functions from 'EXPOKIT' (<https://www.maths.uq.edu.au/expokit/>) to calculate matrix exponentials, Sidje RB, (1998) <doi:10.1145/285861.285868>. Includes functions for small dense matrices along with functions for large sparse matrices. The functions for large sparse matrices implement Krylov subspace methods which help minimise the computational complexity for matrix exponentials. 'Kexpmv' can be utilised to calculate both the matrix exponential in isolation along with the product of the matrix exponential and a vector.
Author: Meabh G. McCurdy <mmccurdy01@qub.ac.uk>
Maintainer: Meabh G. McCurdy <mmccurdy01@qub.ac.uk>

Diff between kexpmv versions 0.0.2 dated 2018-01-11 and 0.0.3 dated 2018-01-11

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Package matchingMarkets updated to version 0.3-4 with previous version 0.3-3 dated 2017-03-26

Title: Analysis of Stable Matchings
Description: Implements structural estimators to correct for the sample selection bias from observed outcomes in matching markets. This includes one-sided matching of agents into groups as well as two-sided matching of students to schools. The package also contains algorithms to find stable matchings in the three most common matching problems: the stable roommates problem, the college admissions problem, and the house allocation problem.
Author: Thilo Klein
Maintainer: Thilo Klein <thilo@klein.uk>

Diff between matchingMarkets versions 0.3-3 dated 2017-03-26 and 0.3-4 dated 2018-01-11

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New package DiceView with initial version 1.3-2
Package: DiceView
Title: Plot Methods for Computer Experiments Design and Surrogate
Version: 1.3-2
Date: 2018-01-01
Author: Yann Richet, Yves Deville, Clement Chevalier
Maintainer: Yann Richet <yann.richet@irsn.fr>
Description: View 2D/3D sections or contours of computer experiments designs, surrogates or test functions.
Depends: methods, utils, stats, grDevices, DiceKriging, DiceEval, rgl
License: GPL-3
URL: http://promethee.irsn.org/
Repository: CRAN
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-11 10:06:05 UTC; richet
Date/Publication: 2018-01-11 13:18:38 UTC

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Package arrangements updated to version 1.0.1 with previous version 1.0.0 dated 2018-01-10

Title: Fast Generators and Iterators for Permutations, Combinations and Partitions
Description: Fast generators and iterators for permutations, combinations and partitions. The iterators allow users to generate arrangements in a memory efficient manner and the generated arrangements are in lexicographical (dictionary) order. Permutations and combinations can be drawn with/without replacement and support multisets. It has been demonstrated that 'arrangements' outperforms most of the existing packages of similar kind. Some benchmarks could be found at <https://randy3k.github.io/arrangements/articles/benchmark.html>.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between arrangements versions 1.0.0 dated 2018-01-10 and 1.0.1 dated 2018-01-11

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Package spBayesSurv updated to version 1.1.2 with previous version 1.1.1 dated 2017-05-15

Title: Bayesian Modeling and Analysis of Spatially Correlated Survival Data
Description: Provides several Bayesian survival models for spatial/non-spatial survival data: proportional hazards (PH), accelerated failure time (AFT), proportional odds (PO), and accelerated hazards (AH), a super model that includes PH, AFT, PO and AH as special cases, Bayesian nonparametric nonproportional hazards (LDDPM), generalized accelerated failure time (GAFT), and spatially smoothed density estimation. The spatial dependence is modeled via frailties under PH, AFT, PO, AH and GAFT, and via copulas under LDDPM and PH. Model choice is carried out via LPML and DIC.
Author: Haiming Zhou <zhouh@niu.edu> and Timothy Hanson <hansont@stat.sc.edu>
Maintainer: Haiming Zhou <zhouh@niu.edu>

Diff between spBayesSurv versions 1.1.1 dated 2017-05-15 and 1.1.2 dated 2018-01-11

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New package pompom with initial version 0.1.4
Package: pompom
Type: Package
Title: Person-Oriented Method and Perturbation on the Model
Version: 0.1.4
Authors@R: c(person("Xiao", "Yang", email = "xfy5031@psu.edu", role = c("cre", "aut")),person("Nilam", "Ram", email = "nur5@psu.edu", role = "aut"),person("Peter", "Molenaar", email = "pxm21@psu.edu", role = "aut"))
Maintainer: Xiao Yang <xfy5031@psu.edu>
Description: An implementation of a hybrid method of person-oriented method and perturbation on the model. Pompom is the initials of the two methods. The hybrid method will provide a multivariate intraindividual variability metric (iRAM). The person-oriented method used in this package refers to uSEM (unified structural equation modeling, see Kim et al., 2007, Gates et al., 2010 and Gates et al., 2012 for details). Perturbation on the model was conducted according to impulse response analysis introduced in Lutkepohl (2007). Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007) <doi:10.1002/hbm.20259>. Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) <doi:10.1016/j.neuroimage.2009.12.117>. Gates, K. M., & Molenaar, P. C. M. (2012) <doi:10.1016/j.neuroimage.2012.06.026>. Lutkepohl, H. (2007, ISBN:3540262393).
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 3.0.0)
Imports: lavaan (>= 0.5-23.1097), ggplot2 (>= 2.2.1), reshape2 (>= 1.4.2), qgraph, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-10 19:05:32 UTC; Xiao Yang
Author: Xiao Yang [cre, aut], Nilam Ram [aut], Peter Molenaar [aut]
Repository: CRAN
Date/Publication: 2018-01-11 12:04:04 UTC

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New package DirectedClustering with initial version 0.1.1
Package: DirectedClustering
Type: Package
Title: Directed Weighted Clustering Coefficient
Version: 0.1.1
Date: 2018-01-10
Author: Gian Paolo Clemente[cre,aut], Rosanna Grassi [ctb]
Maintainer: Gian Paolo Clemente <gianpaolo.clemente@unicatt.it>
Description: Allows the computation of clustering coefficients for directed and weighted networks by using different approaches. It allows to compute clustering coefficients that are not present in 'igraph' package. A description of clustering coefficients can be found in "Directed clustering in weighted networks: a new perspective", Clemente, G.P., Grassi, R. (2017), <doi:10.1016/j.chaos.2017.12.007>.
License: GPL-3 | file LICENSE
Depends: R(>= 3.4.0)
Imports: igraph
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-10 21:25:00 UTC; GianPaolo.Clemente
Repository: CRAN
Date/Publication: 2018-01-11 12:12:59 UTC

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Package kexpmv updated to version 0.0.2 with previous version 0.0.1 dated 2017-12-19

Title: Matrix Exponential using Krylov Subspace Routines
Description: Implements functions from 'EXPOKIT' (<https://www.maths.uq.edu.au/expokit/>) to calculate matrix exponentials, Sidje RB, (1998) <doi:10.1145/285861.285868>. Includes functions for small dense matrices along with functions for large sparse matrices. The functions for large sparse matrices implement Krylov subspace methods which help minimise the computational complexity for matrix exponentials. 'Kexpmv' can be utilised to calculate both the matrix exponential in isolation along with the product of the matrix exponential and a vector.
Author: Meabh G. McCurdy <mmccurdy01@qub.ac.uk>
Maintainer: Meabh G. McCurdy <mmccurdy01@qub.ac.uk>

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New package AnaCoDa with initial version 0.1.0
Package: AnaCoDa
Type: Package
Title: Analysis of Codon Data under Stationarity using a Bayesian Framework
Version: 0.1.0
Date: 2018-01-10
Authors@R: c(person("Cedric", "Landerer", role = c("aut", "cre"), email = "cedric.landerer@gmail.com"), person("Gabriel", "Hanas", role = "ctb"), person("Jeremy", "Rogers", role = "ctb"), person("Alex", "Cope", role="ctb"))
Author: Cedric Landerer [aut, cre], Gabriel Hanas [ctb], Jeremy Rogers [ctb], Alex Cope [ctb]
Maintainer: Cedric Landerer <cedric.landerer@gmail.com>
URL: https://github.com/clandere/RibModelFramework
NeedsCompilation: yes
Depends: R (>= 3.3.0), Rcpp (>= 0.11.3), methods
Suggests: Hmisc, VGAM, coda, testthat
RcppModules: Test_mod, Trace_mod, CovarianceMatrix_mod, MCMCAlgorithm_mod, Model_mod, Parameter_mod, Genome_mod, Gene_mod, SequenceSummary_mod
Description: Is a collection of models to analyze genome scale codon data using a Bayesian framework. Provides visualization routines and checkpointing for model fittings. Currently published models to analyze gene data for selection on codon usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist et al. (2015) <doi:10.1093/gbe/evv087>), and ROC with phi (Wallace & Drummond (2013) <doi:10.1093/molbev/mst051>). In addition 'AnaCoDa' contains three currently unpublished models. The FONSE (First order approximation On NonSense Error) model analyzes gene data for selection on codon usage against of nonsense error rates. The PA (PAusing time) and PANSE (PAusing time + NonSense Error) models use ribosome footprinting data to analyze estimate ribosome pausing times with and without nonsense error rate from ribosome footprinting data.
License: GPL (>= 2)
Imports:
LinkingTo: Rcpp
LazyLoad: yes
LazyData: yes
RoxygenNote: 6.0.1
Packaged: 2018-01-10 18:27:01 UTC; clandere
Repository: CRAN
Date/Publication: 2018-01-11 12:01:10 UTC

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Package pbdZMQ updated to version 0.3-1 with previous version 0.3-0 dated 2018-01-04

Title: Programming with Big Data -- Interface to ZeroMQ
Description: 'ZeroMQ' is a well-known library for high-performance asynchronous messaging in scalable, distributed applications. This package provides high level R wrapper functions to easily utilize 'ZeroMQ'. We mainly focus on interactive client/server programming frameworks. For convenience, a minimal 'ZeroMQ' library (4.2.2) is shipped with 'pbdZMQ', which can be used if no system installation of 'ZeroMQ' is available. A few wrapper functions compatible with 'rzmq' are also provided.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], Christian Heckendorf [aut] (file transfer), George Ostrouchov [aut] (Mac OSX), Whit Armstrong [ctb] (some functions are modified from the rzmq package for backwards compatibility), Brian Ripley [ctb] (C code of shellexec, and Solaris), R Core team [ctb] (some functions are modified from the R source code), Philipp A. [ctb] (Fedora), Elliott Sales de Andrade [ctb] (sprintf), Spencer Aiello [ctb] (windows conf)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package mapsapi updated to version 0.3.0 with previous version 0.2.0 dated 2017-11-02

Title: 'sf'-Compatible Interface to 'Google Maps' APIs
Description: Interface to the 'Google Maps' APIs: (1) routing directions based on the 'Directions' API, returned as 'sf' objects, either as single feature per alternative route, or a single feature per segment per alternative route; (2) travel distance or time matrices based on the 'Distance Matrix' API; (3) geocoded locations based on the 'Geocode' API, returned as 'sf' objects, either points or bounds.
Author: Michael Dorman [aut, cre]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

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Package HTSSIP updated to version 1.3.1 with previous version 1.3.0 dated 2017-10-25

Title: High Throughput Sequencing of Stable Isotope Probing Data Analysis
Description: Functions for analyzing high throughput sequencing stable isotope probing (HTS-SIP) data. Analyses include high resolution stable isotope probing (HR-SIP), multi-window high resolution stable isotope probing (MW-HR-SIP), and quantitative stable isotope probing (q-SIP).
Author: Nicholas Youngblut [aut, cre], Samuel Barnett [ctb]
Maintainer: Nicholas Youngblut <nyoungb2@gmail.com>

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Package Rrdrand updated to version 0.1-15 with previous version 0.1-14 dated 2015-05-28

Title: 'DRNG' on Intel CPUs with the 'RdRand' Instruction for R
Description: Make use of the hardware random number accessed by the 'RdRand' instruction in recent Intel CPUs (Ivy Bridge and later). 'DRNG' is "Digital Random Number Generator".
Author: Ei-ji Nakama <nakama@com-one.com>, Junji NAKANO <nakanoj@ism.ac.jp>
Maintainer: Ei-ji Nakama <nakama@com-one.com>

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Package MortalityLaws updated to version 1.3.0 with previous version 1.2.0 dated 2017-12-08

Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. An elegant function for downloading data from Human Mortality Database <http://www.mortality.org> is provided as well.
Author: Marius D. Pascariu [aut, cre], Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>

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