Thu, 30 Nov 2017

Package wnl updated to version 0.3.2 with previous version 0.3.1 dated 2017-10-16

Title: Minimization Tool for Pharmacokinetic-Pharmacodynamic Data Analysis
Description: This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between wnl versions 0.3.1 dated 2017-10-16 and 0.3.2 dated 2017-11-30

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Package harrietr updated to version 0.2.3 with previous version 0.2.2 dated 2017-02-22

Title: Wrangle Phylogenetic Distance Matrices and Other Utilities
Description: Harriet was Charles Darwin's pet tortoise (possibly). 'harrietr' implements some function to manipulate distance matrices and phylogenetic trees to make it easier to plot with 'ggplot2' and to manipulate using 'tidyverse' tools.
Author: Anders Gonçalves da Silva [aut, cre]
Maintainer: Anders Gonçalves da Silva <andersgs@gmail.com>

Diff between harrietr versions 0.2.2 dated 2017-02-22 and 0.2.3 dated 2017-11-30

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Package exprso updated to version 0.2.6 with previous version 0.2.0 dated 2017-11-18

Title: Rapid Deployment of Machine Learning Algorithms
Description: Supervised machine learning has an increasingly important role in data analysis. This package introduces a framework for rapidly building and deploying supervised machine learning in a high-throughput manner. This package provides a user-friendly interface that empowers investigators to execute state-of-the-art binary and multi-class classification, as well as regression, with minimal programming experience necessary.
Author: Thomas Quinn [aut, cre], Daniel Tylee [ctb]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>

Diff between exprso versions 0.2.0 dated 2017-11-18 and 0.2.6 dated 2017-11-30

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Package dgo updated to version 0.2.12 with previous version 0.2.11 dated 2017-10-29

Title: Dynamic Estimation of Group-Level Opinion
Description: Fit dynamic group-level IRT and MRP models from individual or aggregated item response data. This package handles common preprocessing tasks and extends functions for inspecting results, poststratification, and quick iteration over alternative models.
Author: James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut]
Maintainer: James Dunham <james@jdunham.io>

Diff between dgo versions 0.2.11 dated 2017-10-29 and 0.2.12 dated 2017-11-30

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New package SUMMER with initial version 0.1.0
Package: SUMMER
Type: Package
Title: Spatio-Temporal Under-Five Mortality Methods for Estimation
Version: 0.1.0
Authors@R: c( person(given = "Bryan D", family = "Martin", email= "bmartin6@uw.edu", role = c("cre","aut")), person(given = "Zehang R", family = "Li", email= "lizehang@uw.edu", role = "aut") )
Description: Provides methods for estimating, projecting, and plotting spatio-temporal under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>.
URL: https://github.com/martinbryan/SUMMER
BugReports: https://github.com/martinbryan/SUMMER/issues
Depends: R (>= 3.4.2)
License: GPL (>= 2)
Imports: RColorBrewer, classInt, maptools, survey, grDevices, graphics, stats, spdep, survival, ggplot2, sp, utils
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Additional_repositories: https://www.math.ntnu.no/inla/R/stable
Suggests: INLA, knitr, rmarkdown, readstata13
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-30 18:25:55 UTC; Bryan
Author: Bryan D Martin [cre, aut], Zehang R Li [aut]
Maintainer: Bryan D Martin <bmartin6@uw.edu>
Repository: CRAN
Date/Publication: 2017-11-30 19:11:15 UTC

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Package constellation updated to version 0.1.0 with previous version 0.0.1 dated 2017-11-02

Title: Identify Event Sequences Using Time Series Joins
Description: Examine any number of time series data frames to identify instances in which various criteria are met within specified time frames. In clinical medicine, these types of events are often called "constellations of signs and symptoms", because a single condition depends on a series of events occurring within a certain amount of time of each other. This package was written to work with any number of time series data frames and is optimized for speed to work well with data frames with millions of rows.
Author: Mark Sendak [aut, cre]
Maintainer: Mark Sendak <mark.sendak@gmail.com>

Diff between constellation versions 0.0.1 dated 2017-11-02 and 0.1.0 dated 2017-11-30

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New package BGGE with initial version 0.6.1
Package: BGGE
Title: Bayesian Genomic Linear Models Applied to GE Genome Selection
Version: 0.6.1
Authors@R: c(person("Italo", "Granato", email = "italo.granato@gmail.com", role = c("aut", "cre")), person("Luna-Vázquez", "Francisco J.", email = "frahik@gmail.com ", role =c("aut")), person("Cuevas", "Jaime", email = "jaicueva@uqroo.edu.mx", role =c("aut")))
Description: Application of genome prediction for a continuous variable, focused on genotype by environment (GE) genomic selection models (GS). It consists a group of functions that help to create regression kernels for some GE genomic models proposed by Jarquín et al. (2014) <doi:10.1007/s00122-013-2243-1> and Lopez-Cruz et al. (2015) <doi:10.1534/g3.114.016097>. Also, it computes genomic predictions based on Bayesian approaches. The prediction function uses an orthogonal transformation of the data and specific priors present by Cuevas et al. (2014) <doi:10.1534/g3.114.013094>.
Depends: R (>= 3.1.1)
Imports: stats,
Suggests: BGLR, coda
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-30 18:23:27 UTC; Italo Granato
Author: Italo Granato [aut, cre], Luna-Vázquez Francisco J. [aut], Cuevas Jaime [aut]
Maintainer: Italo Granato <italo.granato@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-30 19:06:07 UTC

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New package tidyinftheo with initial version 0.2.1
Package: tidyinftheo
Type: Package
Title: Some Information-Theoretic Functions in the 'Tidy' Style
Version: 0.2.1
Authors@R: c( person(given="Andy", family="Pohl", email="andy@pohl.io", role=c("aut", "cre")), person(given="Pohl Data, LLC", role="cph") )
Description: A frontend to the Shannon entropy, conditional Shannon entropy, and mutual information calculations provided by the 'infotheo' package. See Cover and Thomas (2001) <doi:10.1002/0471200611> for an explanation of these measures. Also provides a convenient heatmap to compare more than two columns in a pairwise fashion.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: dplyr, infotheo, ggplot2, magrittr, purrr, rlang, tibble, tidyselect, tidyverse
Suggests: knitr, rmarkdown (>= 0.2.65), testthat, covr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
URL: https://github.com/pohlio/tidyinftheo
BugReports: https://github.com/pohlio/tidyinftheo/issues
NeedsCompilation: no
Packaged: 2017-11-30 00:11:11 UTC; andy
Author: Andy Pohl [aut, cre], Pohl Data, LLC [cph]
Maintainer: Andy Pohl <andy@pohl.io>
Repository: CRAN
Date/Publication: 2017-11-30 18:23:07 UTC

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Package rcongresso updated to version 0.3.0 with previous version 0.2.1 dated 2017-11-03

Title: Wraps the API for the Brazilian Chamber of Deputies
Description: Provides propositions, votings, deputies and parties data from Brazilian Chamber of Deputies <https://dadosabertos.camara.leg.br> in data frames.
Author: Paulo Vinícius Soares [aut, cre], Nazareno Andrade [aut], Laboratório Analytics (UFCG) [cph, fnd]
Maintainer: Paulo Vinícius Soares <paulo.soares@ccc.ufcg.edu.br>

Diff between rcongresso versions 0.2.1 dated 2017-11-03 and 0.3.0 dated 2017-11-30

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Package npregfast updated to version 1.5.1 with previous version 1.5.0 dated 2017-10-30

Title: Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions
Description: A method for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines. Additionally, a parametric model (allometric model) can be estimated.
Author: Marta Sestelo [aut, cre] (0000-0003-4284-6509), Nora M. Villanueva [aut], Javier Roca-Pardinas [aut]
Maintainer: Marta Sestelo <sestelo@uvigo.es>

Diff between npregfast versions 1.5.0 dated 2017-10-30 and 1.5.1 dated 2017-11-30

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New package MortCast with initial version 1.0-1
Package: MortCast
Type: Package
Title: Estimation and Projection of Age-Specific Mortality Rates
Version: 1.0-1
Date: 2017-11-30
Author: Hana Sevcikova, Nan Li and Patrick Gerland
Maintainer: Hana Sevcikova <hanas@uw.edu>
Description: Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.
License: GPL (>= 2)
Depends: wpp2017
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-30 17:45:35 UTC; hana
Repository: CRAN
Date/Publication: 2017-11-30 18:59:38 UTC

More information about MortCast at CRAN
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Package fold updated to version 0.2.4 with previous version 0.2.2 dated 2017-08-14

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>

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Package excerptr updated to version 1.4.0 with previous version 1.3.1 dated 2017-07-08

Title: Excerpt Structuring Comments from Your Code File and Set a Table of Contents
Description: This is an R interface to the python package 'excerpts' (<https://pypi.python.org/pypi/excerpts>).
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <adc-r@arcor.de>

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Package encode updated to version 0.3.2 with previous version 0.3 dated 2017-04-13

Title: Represent Ordered Lists and Pairs as Strings
Description: Interconverts between ordered lists and compact string notation. Useful for capturing code lists, and pair-wise codes and decodes, for text storage. Analogous to factor levels and labels. Generics encode() and decode() perform interconversion, while codes() and decodes() extract components of an encoding. The function encoded() checks whether something is interpretable as an encoding.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between encode versions 0.3 dated 2017-04-13 and 0.3.2 dated 2017-11-30

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Package clusterSim updated to version 0.47-1 with previous version 0.46-2 dated 2017-09-21

Title: Searching for Optimal Clustering Procedure for a Data Set
Description: Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap, Davies-Bouldin), data normalization formulas (metric data, interval-valued symbolic data), data generation (typical and non-typical data), HINoV method, replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data). (MILLIGAN, G.W., COOPER, M.C. (1985) <doi:10.1007/BF02294245>, HUBERT, L., ARABIE, P. (1985), <doi:10.1007%2FBF01908075>, RAND, W.M. (1971) <doi:10.1080/01621459.1971.10482356>, JAJUGA, K., WALESIAK, M. (2000) <doi:10.1007/978-3-642-57280-7_11>, MILLIGAN, G.W., COOPER, M.C. (1988) <doi:10.1007/BF01897163>, CORMACK, R.M. (1971) <doi:10.2307/2344237>, JAJUGA, K., WALESIAK, M., BAK, A. (2003) <doi:10.1007/978-3-642-55721-7_12>, CARMONE, F.J., KARA, A., MAXWELL, S. (1999) <doi:10.2307/3152003>, DAVIES, D.L., BOULDIN, D.W. (1979) <doi:10.1109/TPAMI.1979.4766909>, CALINSKI, T., HARABASZ, J. (1974) <doi:10.1080/03610927408827101>, HUBERT, L. (1974) <doi:10.1080/01621459.1974.10480191>, TIBSHIRANI, R., WALTHER, G., HASTIE, T. (2001) <doi:10.1111/1467-9868.00293>, KRZANOWSKI, W.J., LAI, Y.T. (1988) <doi:10.2307/2531893>, BRECKENRIDGE, J.N. (2000) <doi:10.1207/S15327906MBR3502_5>, WALESIAK, M., DUDEK, A. (2008) <doi:10.1007/978-3-540-78246-9_11>).
Author: Marek Walesiak <marek.walesiak@ue.wroc.pl>, Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>

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Package BatchExperiments updated to version 1.4.2 with previous version 1.4.1 dated 2015-03-18

Title: Statistical Experiments on Batch Computing Clusters
Description: Extends the BatchJobs package to run statistical experiments on batch computing clusters. For further details see the project web page.
Author: Bernd Bischl <bernd_bischl@gmx.net>, Michel Lang <michellang@gmail.com>, Olaf Mersmann <olafm@p-value.net>
Maintainer: Michel Lang <michellang@gmail.com>

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Package nonmemica updated to version 0.7.9 with previous version 0.7.6 dated 2017-08-01

Title: Create and Evaluate NONMEM Models in a Project Context
Description: Systematically creates and modifies NONMEM(R) control streams. Harvests NONMEM output, builds run logs, creates derivative data, generates diagnostics. NONMEM (ICON Development Solutions <http://www.iconplc.com/>) is software for nonlinear mixed effects modeling. See 'package?nonmemica'.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package bucky updated to version 1.0.4 with previous version 1.0.3 dated 2017-11-22

Title: Bucky's Archive for Data Analysis in the Social Sciences
Description: Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors. The package was originally developed, in part, to assist porting of replication code from 'Stata' and attempts to replicate default options from 'Stata' where possible.
Author: Alexander Tahk [aut, cre]
Maintainer: Alexander Tahk <tahk@alum.mit.edu>

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Package HSROC (with last version 2.1.8) was removed from CRAN

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

2015-02-09 2.1.8
2013-08-22 2.1.7
2013-01-07 2.1.6
2012-07-23 2.1.4
2012-07-11 2.1.3
2012-07-10 2.1.1
2012-07-03 2.1.0
2012-03-26 2.0.5
2011-10-20 1.1.0
2011-03-28 1.0.0

Permanent link
Package SASmarkdown updated to version 0.4.3 with previous version 0.3.3 dated 2017-07-10

Title: 'SAS' Markdown
Description: Settings and functions to extend the 'knitr' 'SAS' engine.
Author: Doug Hemken [aut, cre] (SSCC, Univ. of Wisconsin-Madison)
Maintainer: Doug Hemken <dehemken@wisc.edu>

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Package lingtypology updated to version 1.0.9 with previous version 1.0.8 dated 2017-10-07

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <http://glottolog.org> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <http://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://ropensci.github.io/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and others.
Author: George Moroz
Maintainer: George Moroz <agricolamz@gmail.com>

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Package TotalCopheneticIndex updated to version 1.0.0 with previous version 0.1 dated 2016-03-26

Title: Total Cophenetic Index: An R Package to Quantify Tree Balance
Description: For a given phylogenetic tree, calculates the Total Cophenetic Index. Reference - A. Mir, F. Rossello, L. A. Rotger, A new balance index for phylogenetic trees. Math. Biosci. 241, 125-136 (2013).
Author: Martin R. Smith
Maintainer: Martin R. Smith <martins@gmail.com>

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Package segmented updated to version 0.5-3.0 with previous version 0.5-2.2 dated 2017-09-19

Title: Regression Models with Break-Points / Change-Points Estimation
Description: Given a regression model, segmented `updates' the model by adding one or more segmented (i.e., piece-wise linear) relationships. Several variables with multiple breakpoints are allowed.
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package passport updated to version 0.2.0 with previous version 0.1.1 dated 2017-07-09

Title: Travel Smoothly Between Country Name and Code Formats
Description: Smooths the process of working with country names and codes via powerful parsing, standardization, and conversion utilities arranged in a simple, consistent API. Country name formats include multiple sources including the Unicode Common Locale Data Repository (CLDR, <http://cldr.unicode.org/>) common-sense standardized names in hundreds of languages.
Author: Edward Visel [aut, cre]
Maintainer: Edward Visel <edward.visel@gmail.com>

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Package MXM updated to version 1.3.1 with previous version 1.3.0 dated 2017-11-16

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Feature selection methods for identifying 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 lmerTest updated to version 2.0-36 with previous version 2.0-33 dated 2016-12-03

Title: Tests in Linear Mixed Effects Models
Description: Different kinds of tests for linear mixed effects models as implemented in 'lme4' package are provided. The tests comprise types I - III F tests for fixed effects, LR tests for random effects. The package also provides the calculation of population means for fixed factors with confidence intervals and corresponding plots. Finally the backward elimination of non-significant effects is implemented.
Author: Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths, cre], Rune Haubo Bojesen Christensen [aut]
Maintainer: Per Bruun Brockhoff <perbb@dtu.dk>

Diff between lmerTest versions 2.0-33 dated 2016-12-03 and 2.0-36 dated 2017-11-30

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Package KernelKnn updated to version 1.0.7 with previous version 1.0.6 dated 2017-10-30

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between KernelKnn versions 1.0.6 dated 2017-10-30 and 1.0.7 dated 2017-11-30

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Package geojsonR updated to version 1.0.4 with previous version 1.0.3 dated 2017-09-05

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 1.0.3 dated 2017-09-05 and 1.0.4 dated 2017-11-30

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Permanent link

Package ClusterR updated to version 1.0.9 with previous version 1.0.8 dated 2017-10-28

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and K-Medoids Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between ClusterR versions 1.0.8 dated 2017-10-28 and 1.0.9 dated 2017-11-30

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Package clustermq updated to version 0.8.2 with previous version 0.8.1 dated 2017-11-27

Title: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM)
Description: Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Author: Michael Schubert <mschu.dev@gmail.com>
Maintainer: Michael Schubert <mschu.dev@gmail.com>

Diff between clustermq versions 0.8.1 dated 2017-11-27 and 0.8.2 dated 2017-11-30

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Package bigstatsr updated to version 0.2.3 with previous version 0.2.1 dated 2017-09-02

Title: Statistical Tools for Filebacked Big Matrices
Description: Easy-to-use, efficient, flexible and scalable statistical tools. Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more. Preprint: <doi:10.1101/190926>.
Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigstatsr versions 0.2.1 dated 2017-09-02 and 0.2.3 dated 2017-11-30

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Package SPOT updated to version 2.0.2 with previous version 2.0.1 dated 2017-03-08

Title: Sequential Parameter Optimization Toolbox
Description: A set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Author: Thomas Bartz-Beielstein [aut], Joerg Stork [aut], Martin Zaefferer [aut, cre], Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Joerg Ziegenhirt [ctb], Wolfgang Konen [ctb], Oliver Flasch [ctb], Patrick Koch [ctb], Martina Friese [ctb]
Maintainer: Martin Zaefferer <martin.zaefferer@gmx.de>

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New package NLMR with initial version 0.1.0
Package: NLMR
Type: Package
Title: Simulating Neutral Landscape Models
Version: 0.1.0
Authors@R: c(person("Marco", "Sciaini", email = "sciaini.marco@gmail.com", role = c("aut", "cre"), comment = "Department of Ecosystem Modelling, University of Goettingen"), person("Matthias", "Fritsch", email = "matthias.fritsch@forst.uni-goettingen.de", role = c("aut"), comment = "Department of Ecosystem Modelling, University of Goettingen"), person("Cédric", "Scherer", email = "cedricphilippscherer@gmail.com", role = c("aut"), comment = "Leibniz Institute for Zoo and Wildlife Research, Berlin"), person("Craig", "Simpkins", email = "simpkinscraig063@gmail.com", role = c("aut"), comment = "Department of Ecosystem Modelling, University of Goettingen"))
Description: Provides neutral landscape models (Gardner et al. 1987 <doi:10.1007/BF02275262>, With 1997 <doi:10.1046/j.1523-1739.1997.96210.x>) that can easily extend in existing landscape analyses. Neutral landscape models range from "hard" neutral models (only random functions) to "soft" ones (with parameters) and generate landscape patterns that are not grounded in ecological reasoning. Thus, these patterns can be used as null models in landscape ecology. 'NLMR' combines a large number of algorithms from published software (Saura & Martínez 2000 <doi:10.1023/A:1008107902848>, Etherington et al. 2015 <doi:10.1111/2041-210X.12308>) for simulating neutral landscapes and includes utility functions to classify and combine the landscapes. The simulation results are obtained in a geospatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends: R (>= 3.1.0)
RoxygenNote: 6.0.1
Imports: checkmate, dismo, dplyr, ggplot2, gstat, igraph, lemon, magrittr, maptools, purrr, RandomFields, raster, rasterVis, R.utils, sp, spatstat, stats, tibble, viridis
URL: https://marcosci.github.io/NLMR/
BugReports: https://github.com/marcosci/NLMR/issues/
Suggests: testthat, covr, knitr, rmarkdown, lintr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-30 09:52:49 UTC; marco
Author: Marco Sciaini [aut, cre] (Department of Ecosystem Modelling, University of Goettingen), Matthias Fritsch [aut] (Department of Ecosystem Modelling, University of Goettingen), Cédric Scherer [aut] (Leibniz Institute for Zoo and Wildlife Research, Berlin), Craig Simpkins [aut] (Department of Ecosystem Modelling, University of Goettingen)
Maintainer: Marco Sciaini <sciaini.marco@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-30 10:11:05 UTC

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New package float with initial version 0.1-1
Package: float
Type: Package
Title: 32-Bit Floats
Version: 0.1-1
Description: R comes with a suite of utilities for linear algebra with "numeric" (double precision) vectors/matrices. However, sometimes single precision (or less!) is more than enough for a particular task. This package extends R's linear algebra facilities to include 32-bit float (single precision) data. Float vectors/matrices have half the precision of their "numeric"-type but are generally faster to numerically operate on, for a performance vs accuracy trade-off. The internal representation is an S4 class, which allows us to keep the syntax identical to that of base R's. Interaction between floats and base types for binary operators is generally possible; in these cases, type promotion always defaults to the higher precision. The package ships with copies of the single precision 'BLAS' and 'LAPACK', which are automatically built in the event they are not available on the system.
License: BSD 2-clause License + file LICENSE
Copyright: The copyright for the single precision BLAS/LAPACK distribution located in src/lapack is given in the file src/lapack/LICENSE.
Depends: R (>= 3.1.0), methods
Imports: utils
ByteCompile: yes
URL: https://github.com/wrathematics/float
BugReports: https://github.com/wrathematics/float/issues
Authors@R: c( person("Drew", "Schmidt", role=c("aut", "cre", "cph"), email="wrathematics@gmail.com"), person("Wei-Chen", "Chen", role="ctb", comment="win32 fixes"), person("ORNL", role="cph") )
Maintainer: Drew Schmidt <wrathematics@gmail.com>
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-11-29 21:46:03 UTC; mschmid3
Author: Drew Schmidt [aut, cre, cph], Wei-Chen Chen [ctb] (win32 fixes), ORNL [cph]
Repository: CRAN
Date/Publication: 2017-11-30 10:19:53 UTC

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Package goftte updated to version 1.0.5 with previous version 1.0.4 dated 2017-11-06

Title: Goodness-of-Fit for Time-to-Event Data
Description: Extension of 'gof' package to survival models.
Author: Patrick Sfumato and Jean-Marie Boher.
Maintainer: Patrick Sfumato <sfumatop@gmail.com>

Diff between goftte versions 1.0.4 dated 2017-11-06 and 1.0.5 dated 2017-11-30

 DESCRIPTION    |    8 ++++----
 MD5            |    8 ++++----
 inst/CITATION  |    4 ++--
 src/Makevars   |    5 +++--
 src/cumres.cpp |    4 ++--
 5 files changed, 15 insertions(+), 14 deletions(-)

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Package ordinalCont updated to version 1.2.2 with previous version 1.2 dated 2017-06-16

Title: Ordinal Regression Analysis for Continuous Scales
Description: A regression framework for response variables which are continuous self-rating scales such as the Visual Analog Scale (VAS) used in pain assessment, or the Linear Analog Self-Assessment (LASA) scales in quality of life studies. These scales measure subjects' perception of an intangible quantity, and cannot be handled as ratio variables because of their inherent non-linearity. We treat them as ordinal variables, measured on a continuous scale. A function (the g function) connects the scale with an underlying continuous latent variable. The link function is the inverse of the CDF of the assumed underlying distribution of the latent variable. Currently the logit link, which corresponds to a standard logistic distribution, is implemented.
Author: Maurizio Manuguerra [aut, cre], Gillian Heller [aut]
Maintainer: Maurizio Manuguerra <maurizio.manuguerra@mq.edu.au>

Diff between ordinalCont versions 1.2 dated 2017-06-16 and 1.2.2 dated 2017-11-30

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 R/ocm.methods.R |  162 +++++++++++++++++++++++++++++++++-----------------------
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 6 files changed, 122 insertions(+), 78 deletions(-)

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