Sun, 29 Jul 2018

New package pssmooth with initial version 1.0.0
Package: pssmooth
Type: Package
Title: Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers
Version: 1.0.0
Author: Michal Juraska
Maintainer: Michal Juraska <mjuraska@fredhutch.org>
BugReports: https://github.com/mjuraska/pssmooth/issues
Description: Implements estimation and testing procedures for evaluating an intermediate biomarker response as a principal surrogate of a clinical response to treatment (i.e., principal stratification effect modification analysis), as described in Juraska M, Huang Y, and Gilbert PB, Inference on treatment effect modification by biomarker response in a three-phase sampling design (under review). The methods avoid the restrictive 'placebo structural risk' modeling assumption common to past methods and further improve robustness by the use of nonparametric kernel smoothing for biomarker density estimation. A randomized controlled two-group clinical efficacy trial is assumed with an ordered categorical or continuous univariate biomarker response measured at a fixed timepoint post-randomization and with a univariate baseline surrogate measure allowed to be observed in only a subset of trial participants with an observed biomarker response (see the flexible three-phase sampling design in the paper for details). Bootstrap-based procedures are available for pointwise and simultaneous confidence intervals and testing of four relevant hypotheses. Summary and plotting functions are provided for estimation results.
License: GPL-2
URL: https://github.com/mjuraska/pssmooth
Encoding: UTF-8
LazyData: true
Imports: graphics, stats, osDesign, np, chngpt, MASS
Suggests: knitr, rmarkdown
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-07-23 18:12:40 UTC; mjuraska
Repository: CRAN
Date/Publication: 2018-07-29 22:00:03 UTC

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New package HDclust with initial version 1.0
Package: HDclust
Type: Package
Title: Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks
Version: 1.0
Date: 2018-07-19
Authors@R: c( person("Yevhen", "Tupikov", email = "yzt116@psu.edu", role = c("aut", "cre")), person("Lin", "Lin", email = "llin@psu.edu", role = "aut"), person("Jia", "Li", email = "jiali@psu.edu", role = "aut"))
Description: Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <http://jmlr.org/papers/v18/16-342.html>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.16), RcppProgress (>= 0.1)
Depends: methods
LinkingTo: Rcpp, RcppProgress
Collate: 'AllClass.R' 'AllGeneric.R' 'AllMethod.R' 'clustControl.R' 'trainControl.R' 'hmmvbClust.R' 'hmmvbTrain.R' 'vbSearchControl.R' 'package-HDclust.R' 'RcppExports.R' 'sim3.R' 'sim2.R' 'hmmvbBIC.R'
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-07-23 20:35:01 UTC; eugene
Author: Yevhen Tupikov [aut, cre], Lin Lin [aut], Jia Li [aut]
Maintainer: Yevhen Tupikov <yzt116@psu.edu>
Repository: CRAN
Date/Publication: 2018-07-29 22:00:07 UTC

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New package DeclareDesign with initial version 0.10.0
Package: DeclareDesign
Title: Declare and Diagnose Research Designs
Version: 0.10.0
Authors@R: c(person("Graeme", "Blair", email = "graeme.blair@ucla.edu", role = c("aut", "cre")), person("Jasper", "Cooper", email = "jaspercooper@gmail.com", role = c("aut")), person("Alexander", "Coppock", email = "acoppock@gmail.com", role = c("aut")), person("Macartan", "Humphreys", email = "macartan@gmail.com", role = c("aut")), person("Neal", "Fultz", email = "nfultz@gmail.com", role = c("aut")))
Description: Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Depends: R (>= 3.4.0), randomizr (>= 0.16.1), fabricatr (>= 0.4.0), estimatr (>= 0.10.0)
Imports: rlang, methods
License: MIT + file LICENSE
URL: https://declaredesign.org, https://github.com/DeclareDesign/DeclareDesign
BugReports: https://github.com/DeclareDesign/DeclareDesign/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, AER, dplyr, data.table, ggplot2, future.apply, broom, MASS, Matching, betareg, biglm, gam, lfe, sf, reshape2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-07-23 18:12:40 UTC; gdblair
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>
Repository: CRAN
Date/Publication: 2018-07-29 21:50:03 UTC

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Package RcppCNPy updated to version 0.2.10 with previous version 0.2.9 dated 2018-03-22

Title: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description: The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with -std=c++11 which should be the default on all platforms since the release of R 3.3.0.
Author: Dirk Eddelbuettel and Wush Wu
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package dfpk updated to version 3.5.0 with previous version 3.4.1 dated 2018-03-28

Title: Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for Phase I Clinical Trials
Description: Statistical methods involving PK measures are provided, in the dose allocation process during a Phase I clinical trials. These methods, proposed by Ursino et al, (2017) <doi:10.1002/bimj.201600084>, enter pharmacokinetics (PK) in the dose finding designs in different ways, including covariates models, dependent variable or hierarchical models. This package provides functions to generate data from several scenarios and functions to run simulations which their objective is to determine the maximum tolerated dose (MTD).
Author: Artemis Toumazi [cre, aut], Sarah Zohar [aut], Moreno Ursino [aut], Trustees of Columbia University [cph] (R/stanmodels.R), French National Institute of Health and Medical Research [cph]
Maintainer: Artemis Toumazi <artemis.toumazi@gmail.com>

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Package siplab updated to version 1.3 with previous version 1.2 dated 2016-03-16

Title: Spatial Individual-Plant Modelling
Description: A platform for experimenting with spatially explicit individual-based vegetation models.
Author: Oscar Garcia
Maintainer: Oscar Garcia <garcia@dasometrics.net>

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Package tm updated to version 0.7-5 with previous version 0.7-4 dated 2018-06-19

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut, cre] (<https://orcid.org/0000-0001-7656-8338>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), Artifex Software, Inc. [ctb, cph] (pdf_info.ps taken from GPL Ghostscript)
Maintainer: Ingo Feinerer <feinerer@logic.at>

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Package tensorA updated to version 0.36.1 with previous version 0.36 dated 2010-12-01

Title: Advanced Tensor Arithmetic with Named Indices
Description: Provides convenience functions for advanced linear algebra with tensors and computation with datasets of tensors on a higher level abstraction. It includes Einstein and Riemann summing conventions, dragging, co- and contravariate indices, parallel computations on sequences of tensors.
Author: K. Gerald van den Boogaart <boogaart@uni-greifswald.de>
Maintainer: K. Gerald van den Boogaart <boogaart@math.tu-freiberg.de>

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Package taRifx updated to version 1.0.6.1 with previous version 1.0.6 dated 2014-05-29

Title: Collection of Utility and Convenience Functions
Description: A collection of various utility and convenience functions.
Author: Ari B. Friedman
Maintainer: Ari B. Friedman <abfriedman@gmail.com>

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Package rqdatatable updated to version 0.1.3 with previous version 0.1.2 dated 2018-07-09

Title: 'rquery' for 'data.table'
Description: Implements the 'rquery' piped Codd-style query algebra using 'data.table'. This allows for a high-speed in memory implementation of Codd-style data manipulation tools.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package reghelper updated to version 0.3.4 with previous version 0.3.3 dated 2017-04-07

Title: Helper Functions for Regression Analysis
Description: A set of functions used to automate commonly used methods in regression analysis. This includes plotting interactions, calculating simple slopes, calculating standardized coefficients, etc. See the reghelper documentation for more information, documentation, and examples.
Author: Jeffrey Hughes [aut, cre]
Maintainer: Jeffrey Hughes <jeff.hughes@gmail.com>

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Package geoR updated to version 1.7-5.2.1 with previous version 1.7-5.2 dated 2016-05-03

Title: Analysis of Geostatistical Data
Description: Geostatistical analysis including traditional, likelihood-based and Bayesian methods.
Author: Paulo J. Ribeiro Jr <paulojus@ufpr.br> and Peter J. Diggle <p.diggle@lancaster.ac.uk>
Maintainer: Paulo J. Ribeiro Jr <paulojus@ufpr.br>

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Package fts updated to version 0.9.9.1 with previous version 0.9.9 dated 2014-04-04

Title: R Interface to 'tslib' (a Time Series Library in C++)
Description: Fast operations for time series objects.
Author: Whit Armstrong <armstrong.whit@gmail.com>
Maintainer: Whit Armstrong <armstrong.whit@gmail.com>

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Package stellaRbase (with last version 0.1.0) was removed from CRAN

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

2018-04-11 0.1.0

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Package SequenceAnalysis (with last version 1.3) was removed from CRAN

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

2016-08-15 1.3
2016-08-10 1.2

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Package tropr (with last version 0.1.2) was removed from CRAN

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

2017-06-13 0.1.2
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Package btf (with last version 1.2) was removed from CRAN

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2017-05-31 1.2
2014-07-30 1.1
2014-07-15 1.0

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Package GGIR updated to version 1.6-0 with previous version 1.5-24 dated 2018-07-09

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 arulesSequences updated to version 0.2-20 with previous version 0.2-19 dated 2017-05-11

Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

Diff between arulesSequences versions 0.2-19 dated 2017-05-11 and 0.2-20 dated 2018-07-29

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Package sylly updated to version 0.1-5 with previous version 0.1-4 dated 2018-01-06

Title: Hyphenation and Syllable Counting for Text Analysis
Description: Provides the hyphenation algorithm used for 'TeX'/'LaTeX' and similar software, as proposed by Liang (1983, <https://tug.org/docs/liang/>). Mainly contains the function hyphen() to be used for hyphenation/syllable counting of text objects. It was originally developed for and part of the 'koRpus' package, but later released as a separate package so it's lighter to have this particular functionality available for other packages. Support for various languages needs be added on-the-fly or by plugin packages (<https://undocumeantit.github.io/repos>); this package does not include any language specific data. Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
Author: Meik Michalke [aut, cre]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

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Package MortalityLaws updated to version 1.5.0 with previous version 1.4.0 dated 2018-06-20

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 <https://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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Package RaceID updated to version 0.1.0 with previous version 0.0.9 dated 2018-07-27

Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>

Diff between RaceID versions 0.0.9 dated 2018-07-27 and 0.1.0 dated 2018-07-29

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Package MXM updated to version 1.3.8 with previous version 1.3.7 dated 2018-07-26

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. Reference: Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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Package diffobj updated to version 0.1.11 with previous version 0.1.10 dated 2018-06-10

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph] (Original C implementation of Myers Diff Algorithm)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between diffobj versions 0.1.10 dated 2018-06-10 and 0.1.11 dated 2018-07-29

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New package metaDigitise with initial version 1.0.0
Package: metaDigitise
Title: Extract and Summarise Data from Published Figures
Version: 1.0.0
Authors@R: c(person("Joel", "Pick", email = "joel.l.pick@gmail.com", role = c("aut")), person("Shinichi", "Nakagawa", email = "s.nakagawa@unsw.edu.au", role = c("aut")), person("Daniel", "Noble", email = "daniel.wa.noble@gmail.com", role = c("aut", "cre")))
Description: High-throughput, flexible and reproducible extraction of data from figures in primary research papers. metaDigitise() can extract data and / or automatically calculate summary statistics for users from box plots, bar plots (e.g., mean and errors), scatter plots and histograms.
Depends: R (>= 3.4)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: magick, stats, graphics, utils, purrr
Suggests: mockery, testthat, knitr, rmarkdown
BugReports: https://github.com/daniel1noble/metaDigitise/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-07-23 01:11:06 UTC; danielnoble
Author: Joel Pick [aut], Shinichi Nakagawa [aut], Daniel Noble [aut, cre]
Maintainer: Daniel Noble <daniel.wa.noble@gmail.com>
Repository: CRAN
Date/Publication: 2018-07-29 08:40:03 UTC

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New package bcf with initial version 1.2
Package: bcf
Type: Package
Title: Causal Inference for a Binary Treatment and Continuous Outcome using Bayesian Causal Forests
Version: 1.2
Date: 2018-07-24
Author: P. Richard Hahn, Jared S. Murray, and Carlos Carvalho
Maintainer: Jared S. Murray <jared.murray@mccombs.utexas.edu>
Description: Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2017) <arXiv:1706.09523> for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) <arXiv:1309.1906>.
License: GPL-3
Depends: Rcpp (>= 0.10.4)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2018-07-24 21:41:44 UTC; jared
Repository: CRAN
Date/Publication: 2018-07-29 08:40:07 UTC

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New package rerf with initial version 1.1.3
Package: rerf
Type: Package
Title: Randomer Forest
Version: 1.1.3
Date: 2018-07-05
Authors@R: c(person("James", "Browne", role = c("aut", "cre"), email = "jbrowne6@jhu.edu"), person("Tyler", "Tomita", role = "aut", email = "ttomita2@jhmi.edu"), person("Joshua", "Vogelstein", role = "ths", email = "jovo@jhu.edu"))
Description: Random Forester (RerF) is an algorithm developed by Tomita (2016) <arXiv:1506.03410v2> which is similar to Random Forest - Random Combination (Forest-RC) developed by Breiman (2001) <doi:10.1023/A:1010933404324>. Random Forests create axis-parallel, or orthogonal trees. That is, the feature space is recursively split along directions parallel to the axes of the feature space. Thus, in cases in which the classes seem inseparable along any single dimension, Random Forests may be suboptimal. To address this, Breiman also proposed and characterized Forest-RC, which uses linear combinations of coordinates rather than individual coordinates, to split along. This package, 'rerf', implements RerF which is similar to Forest-RC. The difference between the two algorithms is where the random linear combinations occur: Forest-RC combines features at the per tree level whereas RerF takes linear combinations of coordinates at every node in the tree.
License: GPL-2
URL: https://github.com/neurodata/R-RerF
Imports: parallel, RcppZiggurat, utils, stats, dummies
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: GNU make
ByteCompile: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-07-28 17:48:47 UTC; james
Author: James Browne [aut, cre], Tyler Tomita [aut], Joshua Vogelstein [ths]
Maintainer: James Browne <jbrowne6@jhu.edu>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2018-07-29 06:10:03 UTC

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Package funcy updated to version 1.0.0 with previous version 0.9.0 dated 2018-06-25

Title: Functional Clustering Algorithms
Description: Unified framework to cluster functional data according to one of seven models. All models are based on the projection of the curves onto a basis. The main function funcit() calls wrapper functions for the existing algorithms, so that input parameters are the same. A list is returned with each entry representing the same or extended output for the corresponding method. Method specific as well as general visualization tools are available.
Author: Christina Yassouridis [aut, cre], Dominik Ernst [ctb], Madison Giacofci [ctb], Sophie Lambert-Lacroix [ctb], Guillemette Marot [ctb], Franck Picard [ctb], Nicoleta Serban [ctb], Huijing Jiang [ctb], Gareth James [ctb], Catherine Sugar [ctb], Hans-Georg Mueller [ctb], Jie Peng [ctb], Chiou Jeng-Min [ctb], Pai-Ling Li [ctb]
Maintainer: Christina Yassouridis <chris.yassou@gmail.com>

Diff between funcy versions 0.9.0 dated 2018-06-25 and 1.0.0 dated 2018-07-29

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New package rise with initial version 1.0.3
Package: rise
Version: 1.0.3
Title: Conduct RISE Analysis
Description: Implements techniques for educational resource inspection, selection, and evaluation (RISE) described in Bodily, Nyland, and Wiley (2017) <doi:10.19173/irrodl.v18i2.2952>. Automates the process of identifying learning materials that are not effectively supporting student learning in technology-mediated courses by synthesizing information about access to course content and performance on assessments.
Authors@R: c(person("David", "Wiley", email= "david.wiley@gmail.com", role = c("aut", "cre")), person("Lumen Learning", role= "cph"))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
Depends: R(>= 2.10.0), ggplot2, stats
Suggests: testthat
BugReports: https://github.com/lumenlearning/rise/issues
NeedsCompilation: no
Packaged: 2018-07-23 15:08:02 UTC; david
Author: David Wiley [aut, cre], Lumen Learning [cph]
Maintainer: David Wiley <david.wiley@gmail.com>
Repository: CRAN
Date/Publication: 2018-07-29 06:00:03 UTC

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Package copulaedas updated to version 1.4.3 with previous version 1.4.2 dated 2015-10-22

Title: Estimation of Distribution Algorithms Based on Copulas
Description: Provides a platform where EDAs (estimation of distribution algorithms) based on copulas can be implemented and studied. The package offers complete implementations of various EDAs based on copulas and vines, a group of well-known optimization problems, and utility functions to study the performance of the algorithms. Newly developed EDAs can be easily integrated into the package by extending an S4 class with generic functions for their main components.
Author: Yasser Gonzalez-Fernandez [aut, cre], Marta Soto [aut]
Maintainer: Yasser Gonzalez-Fernandez <ygonzalezfernandez@gmail.com>

Diff between copulaedas versions 1.4.2 dated 2015-10-22 and 1.4.3 dated 2018-07-29

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 R/CEDA.R    |    2 +-
 4 files changed, 11 insertions(+), 7 deletions(-)

More information about copulaedas at CRAN
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Package mixcat (with last version 1.0-3) was removed from CRAN

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

2012-11-13 1.0-3
2012-10-19 1.0-2

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Package GSCAD (with last version 0.1.0) was removed from CRAN

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

2017-10-06 0.1.0

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