Sun, 23 Sep 2018

Package nullabor updated to version 0.3.5 with previous version 0.3.1 dated 2014-12-17

Title: Tools for Graphical Inference
Description: Tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.
Author: Hadley Wickham [aut, ctb], Niladri Roy Chowdhury [aut, ctb], Di Cook [aut, cre], Heike Hofmann [aut, ctb]
Maintainer: Di Cook <dicook@monash.edu>

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New package DescribeDisplay with initial version 0.2.7
Package: DescribeDisplay
Version: 0.2.7
Date: 2018-09-23
Title: An Interface to the 'DescribeDisplay' 'GGobi' Plugin
Description: Produce publication quality graphics from output of 'GGobi' describe display plugin.
Authors@R: c( person("Di", "Cook", , "dicook@monash.edu" , c("aut", "cre")), person("Hadley", "Wickham", , "h.wickham@gmail.com" , c("aut")), person("Andreas", "Buja", , "buja@wharton.upenn.edu", c("aut")), person("Barret", "Schloerke", , "schloerke@gmail.com" , c("aut")) )
License: MIT + file LICENSE
URL: https://github.com/ggobi/DescribeDisplay
BugReports: https://github.com/ggobi/DescribeDisplay/issues
Imports: reshape2, ggplot2 (>= 3.0.0), plyr, scales, grid, GGally (>= 1.4.0)
Suggests: roxygen2 (>= 6.0.1), testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-09-23 21:30:35 UTC; dicook
Author: Di Cook [aut, cre], Hadley Wickham [aut], Andreas Buja [aut], Barret Schloerke [aut]
Maintainer: Di Cook <dicook@monash.edu>
Repository: CRAN
Date/Publication: 2018-09-23 22:20:12 UTC

More information about DescribeDisplay at CRAN
Permanent link

Package photobiology updated to version 0.9.24 with previous version 0.9.23 dated 2018-08-30

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima. Conversion between energy- and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package geex updated to version 1.0.11 with previous version 1.0.3 dated 2017-09-04

Title: An API for M-Estimation
Description: Provides a general, flexible framework for estimating parameters and empirical sandwich variance estimator from a set of unbiased estimating equations (i.e., M-estimation in the vein of Stefanski & Boos (2002) <doi:10.1198/000313002753631330>). Also provides an API to compute finite-sample variance corrections.
Author: Bradley Saul [aut, cre], Brian Barkley [ctb]
Maintainer: Bradley Saul <bradleysaul@gmail.com>

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Package RxODE updated to version 0.8.0-7 with previous version 0.7.2-5 dated 2018-06-19

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation (ODE) models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The VODE and LSODA are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut], Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Justin Wilkins [ctb], Simon Frost [ctb], Heng Li [ctb], Yu Feng [ctb], Alan Hindmarsh [ctb], Linda Petzold [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], J Colinge [ctb], Hadley Wickham [ctb], G Grothendieck [ctb], Robert Gentleman [ctb], Ross Ihaka [ctb], R core team [cph], odepack authors [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package NitrogenUptake2016 updated to version 0.2.2 with previous version 0.2.0 dated 2018-07-30

Title: Data and Source Code From: Nitrogen Uptake and Allocation Estimates for Spartina Alterniflora and Distichlis Spicata
Description: Contains data, code, and figures from Hill et al. (2018; Journal of Experimental Marine Biology and Ecology; <DOI: 10.1016/j.jembe.2018.07.006>) and Hill et al. (submitted; Data In Brief). Datasets document plant allometry, stem heights, nutrient and stable isotope content, and sediment denitrification enzyme assays. The data and analysis offer an examination of nitrogen uptake and allocation in two salt marsh plant species.
Author: Troy D. Hill, Nathalie R. Sommer, Caroline R. Kanaskie, Emily A. Santos, and Autumn J. Oczkowski
Maintainer: Troy D. Hill <Hill.Troy@gmail.com>

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Package data.tree updated to version 0.7.7 with previous version 0.7.6 dated 2018-06-16

Title: General Purpose Hierarchical Data Structure
Description: Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
Author: Chris Hammil [ctb] (improve getting), Facundo Munoz [ctb] (improve list conversion), Markus Wamser [ctb] (fixed some typos), Pierre Formont [ctb] (additional features), Kent Russel [ctb] (documentation), Noam Ross [ctb] (fixes), Duncan Garmonsway [ctb] (fixes), Christoph Glur [aut, cre] (R interface)
Maintainer: Christoph Glur <christoph.glur@ipub.com>

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Package nlmixr updated to version 1.0.0-7 with previous version 0.9.1-3 dated 2018-06-21

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

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New package mFilter with initial version 0.1-4
Package: mFilter
Title: Miscellaneous Time Series Filters
Date: 2018-09-22
Version: 0.1-4
Author: Mehmet Balcilar <mehmet@mbalcilar.net>
Depends: R (>= 2.2.0), stats
Suggests: tseries, pastecs, locfit, tseriesChaos, tsDyn, forecast
Description: The mFilter package implements several time series filters useful for smoothing and extracting trend and cyclical components of a time series. The routines are commonly used in economics and finance, however they should also be interest to other areas. Currently, Christiano-Fitzgerald, Baxter-King, Hodrick-Prescott, Butterworth, and trigonometric regression filters are included in the package.
Maintainer: Mehmet Balcilar <mehmet@mbalcilar.net>
License: GPL (>= 2)
URL: http://www.mbalcilar.net
Encoding: UTF-8
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-09-22 21:15:45 UTC; mbalcilar
Repository: CRAN
Date/Publication: 2018-09-23 13:50:03 UTC

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Package jtools updated to version 1.1.1 with previous version 1.1.0 dated 2018-08-16

Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are a number of functions focused specifically on the interpretation and presentation of interactions. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <long.1377@osu.edu>

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Package geojsonR updated to version 1.0.6 with previous version 1.0.5 dated 2018-07-21

Title: A GeoJson Processing Toolkit
Description: Includes functions for processing GeoJson objects <https://en.wikipedia.org/wiki/GeoJSON> relying on 'RFC 7946' <https://tools.ietf.org/pdf/rfc7946.pdf>. The geojson encoding is based on 'json11', a tiny JSON library for 'C++11' <https://github.com/dropbox/json11>. Furthermore, the source code is exported in R through the 'Rcpp' and 'RcppArmadillo' packages.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between geojsonR versions 1.0.5 dated 2018-07-21 and 1.0.6 dated 2018-09-23

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Package Cyclops updated to version 2.0.1 with previous version 2.0.0 dated 2018-09-18

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] (provided the TinyThread library), Rutgers University [cph, ctb] (provided the HParSearch routine), R Development Core Team [cph, ctb] (provided the ZeroIn routine)
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between Cyclops versions 2.0.0 dated 2018-09-18 and 2.0.1 dated 2018-09-23

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Package NHMSAR updated to version 1.12 with previous version 1.11 dated 2018-08-06

Title: Non-Homogeneous Markov Switching Autoregressive Models
Description: Calibration, simulation, validation of (non-)homogeneous Markov switching autoregressive models with Gaussian or von Mises innovations. Penalization methods are implemented for Markov Switching Vector Autoregressive Models of order 1 only. Most functions of the package handle missing values.
Author: Valerie Monbet
Maintainer: Valerie Monbet <valerie.monbet@gmail.com>

Diff between NHMSAR versions 1.11 dated 2018-08-06 and 1.12 dated 2018-09-23

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Package GGIR updated to version 1.6-7 with previous version 1.6-0 dated 2018-07-29

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in van Hees and colleagues (2014) <doi: 10.1152/japplphysiol.00421.2014> and (2015) <doi: 10.1371/journal.pone.0142533>. The package has been developed and tested for binary data from 'GENEActiv' <https://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <http://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' <https://axivity.com/product/ax3>. These devices are currently widely used in research on human daily physical activity.
Author: Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb], Jairo H Migueles [ctb]
Maintainer: Vincent T van Hees <vincentvanhees@gmail.com>

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Package RGF updated to version 1.0.5 with previous version 1.0.4 dated 2018-07-22

Title: Regularized Greedy Forest
Description: Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <https://github.com/RGF-team/rgf/tree/master/python-package> 'python' package, which also includes a Multi-core implementation (FastRGF) <https://github.com/RGF-team/rgf/tree/master/FastRGF>.
Author: Lampros Mouselimis [aut, cre], Ryosuke Fukatani [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Nikita Titov [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Tong Zhang [cph] (Author of the 'Regularized Greedy Forest' and of the Multi-core implementation of Regularized Greedy Forest machine learning algorithm), Rie Johnson [cph] (Author of the 'Regularized Greedy Forest' machine learning algorithm)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between RGF versions 1.0.4 dated 2018-07-22 and 1.0.5 dated 2018-09-23

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Package nonlinearTseries updated to version 0.2.5 with previous version 0.2.4 dated 2018-08-10

Title: Nonlinear Time Series Analysis
Description: Functions for nonlinear time series analysis. This package permits the computation of the most-used nonlinear statistics/algorithms including generalized correlation dimension, information dimension, largest Lyapunov exponent, sample entropy and Recurrence Quantification Analysis (RQA), among others. Basic routines for surrogate data testing are also included. Part of this work was based on the book "Nonlinear time series analysis" by Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).
Author: Constantino A. Garcia [aut, cre], Gunther Sawitzki [ctb]
Maintainer: ORPHANED

Diff between nonlinearTseries versions 0.2.4 dated 2018-08-10 and 0.2.5 dated 2018-09-23

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Package annovarR (with last version 1.0.0) was removed from CRAN

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

2018-01-09 1.0.0

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Package behaviorchange (with last version 0.0.1) was removed from CRAN

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

2018-08-05 0.0.1

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Package userfriendlyscience (with last version 0.7.1) was removed from CRAN

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

2018-05-02 0.7.1
2017-11-17 0.7.0
2017-05-09 0.6-1
2017-04-03 0.6-0
2016-12-16 0.5-2
2016-11-11 0.5-1
2016-11-07 0.5-0
2016-03-17 0.4-1
2016-01-21 0.4-0
2015-04-20 0.3-0
2015-04-07 0.2-2
2015-03-23 0.2-1
2015-02-27 0.2-0
2014-04-22 0.1-2
2014-04-17 0.1.1

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Package DMR (with last version 2.0) was removed from CRAN

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2013-02-21 2.0

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Package SI updated to version 0.2.0 with previous version 0.1.0 dated 2018-04-17

Title: Stochastic Integrating
Description: An implementation of four stochastic methods of integrating in R, including: 1. Stochastic Point Method (or Monte Carlo Method); 2. Mean Value Method; 3. Important Sampling Method; 4. Stratified Sampling Method. It can be used to estimate one-dimension or multi-dimension integration by Monte Carlo methods. And the estimated variance (precision) is given. Reference: Caflisch, R. E. (1998) <doi:10.1017/S0962492900002804>.
Author: Jinhong Du
Maintainer: Jinhong Du <jayduking@gmail.com>

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