Wed, 23 May 2018

Package riv updated to version 2.0-5 with previous version 2.0-4 dated 2013-10-03

Title: Robust Instrumental Variables Estimator
Description: Finds a robust instrumental variables estimator using a high breakdown point S-estimator of multivariate location and scatter matrix.
Author: Gabriela Cohen-Freue and Davor Cubranic, with contributions from B. Kaufmann and R.H. Zamar
Maintainer: Gabriela Cohen-Freue <gcohen@stat.ubc.ca>

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Package unsystation updated to version 0.2.0 with previous version 0.1.1 dated 2016-11-03

Title: Stationarity Test Based on Unsystematic Sub-Sampling
Description: Performs a test for second-order stationarity of time series based on unsystematic sub-samples.
Author: Haeran Cho [aut, cre]
Maintainer: Haeran Cho <haeran.cho@bristol.ac.uk>

Diff between unsystation versions 0.1.1 dated 2016-11-03 and 0.2.0 dated 2018-05-23

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New package icd.data with initial version 1.0
Package: icd.data
Title: International Classifcation of Diseases (ICD) Data
Version: 1.0
Authors@R: person("Jack O. Wasey", role = c("aut", "cre", "cph"), email = "jack@jackwasey.com")
Description: Data from the United States Center for Medicare and Medicaid Services (CMS) is included in this package. There are ICD-9 and ICD-10 diagnostic and procedure codes, and lists of the chapter and sub-chapter headings and the ranges of ICD codes they encompass. There are also two sample datasets. These data are used by the 'icd' package for finding comorbidities.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 6.0.1
Imports: utils
Suggests: testthat, icd
NeedsCompilation: no
Packaged: 2018-05-23 14:03:02 UTC; waseyj
Author: Jack O. Wasey [aut, cre, cph]
Maintainer: Jack O. Wasey <jack@jackwasey.com>
Repository: CRAN
Date/Publication: 2018-05-23 22:06:33 UTC

More information about icd.data at CRAN
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New package trekfont with initial version 0.9.2
Package: trekfont
Version: 0.9.2
Title: Star Trek Fonts Collection
Description: Provides a collection of true type and open type Star Trek-themed fonts.
Authors@R: person("Matthew", "Leonawicz", email = "mfleonawicz@alaska.edu", role = c("aut", "cre"))
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
URL: https://github.com/leonawicz/trekfont
BugReports: https://github.com/leonawicz/trekfont/issues
Depends: R (>= 2.10)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-23 15:56:54 UTC; Matt
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@alaska.edu>
Repository: CRAN
Date/Publication: 2018-05-23 22:00:18 UTC

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Package dplR updated to version 1.6.8 with previous version 1.6.7 dated 2018-01-29

Title: Dendrochronology Program Library in R
Description: Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.
Author: Andy Bunn [aut, cph, cre, trl], Mikko Korpela [aut, cph, trl], Franco Biondi [aut, cph], Filipe Campelo [aut, cph], Pierre Mérian [aut, cph], Fares Qeadan [aut, cph], Christian Zang [aut, cph], Allan Buras [ctb], Jacob Cecile [ctb], Manfred Mudelsee [ctb], Michael Schulz [ctb], Darwin Pucha-Cofrep [aut, cph], Jakob Wernicke [aut, cph]
Maintainer: Andy Bunn <andy.bunn@wwu.edu>

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Package prodigenr updated to version 0.4.0 with previous version 0.3.0 dated 2016-07-29

Title: Research Project Directory Generator
Description: Create a project directory structure, along with typical files for that project. This allows projects to be quickly and easily created, as well as for them to be standardized. Designed specifically with scientists in mind (mainly bio-medical researchers, but likely applies to other fields).
Author: Luke Johnston [aut, cre] (<https://orcid.org/0000-0003-4169-2616>)
Maintainer: Luke Johnston <lwjohnst@gmail.com>

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Package CLME updated to version 2.0-10 with previous version 2.0-9 dated 2018-02-01

Title: Constrained Inference for Linear Mixed Effects Models
Description: Estimation and inference for linear models where some or all of the fixed-effects coefficients are subject to order restrictions. This package uses the robust residual bootstrap methodology for inference, and can handle some structure in the residual variance matrix.
Author: Casey M. Jelsema [aut, cre], Shyamal D. Peddada [aut]
Maintainer: Casey M. Jelsema <jelsema.casey@gmail.com>

Diff between CLME versions 2.0-9 dated 2018-02-01 and 2.0-10 dated 2018-05-23

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Package biolink updated to version 0.1.5 with previous version 0.1.4 dated 2018-04-20

Title: Create Hyperlinks to Biological Databases and Resources
Description: Generate urls and hyperlinks to commonly used biological databases and resources based on standard identifiers. This is primarily useful when writing dynamic reports that reference things like gene symbols in text or tables, allowing you to, for example, convert gene identifiers to hyperlinks pointing to their entry in the NCBI Gene database. Currently supports NCBI Gene, PubMed, Gene Ontology, CRAN and Bioconductor.
Author: Aaron Wolen [aut, cre]
Maintainer: Aaron Wolen <aaron@wolen.com>

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Package frailtyEM updated to version 0.8.8 with previous version 0.8.7 dated 2018-04-23

Title: Fitting Frailty Models with the EM Algorithm
Description: Contains functions for fitting shared frailty models with a semi-parametric baseline hazard with the Expectation-Maximization algorithm. Supported data formats include clustered failures with left truncation and recurrent events in gap-time or Andersen-Gill format. Several frailty distributions, such as the the gamma, positive stable and the Power Variance Family are supported.
Author: Theodor Adrian Balan, Hein Putter
Maintainer: Theodor Adrian Balan <t.a.balan@lumc.nl>

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Package ukbtools updated to version 0.11.0 with previous version 0.10.1 dated 2018-02-05

Title: Manipulate and Explore UK Biobank Data
Description: A set of tools to create a UK Biobank <http://www.ukbiobank.ac.uk/> dataset from a UKB fileset (.tab, .r, .html), visualize primary demographic data for a sample subset, query ICD diagnoses, retrieve genetic metadata, read and write standard file formats for genetic analyses.
Author: Ken Hanscombe [aut, cre]
Maintainer: Ken Hanscombe <ken.hanscombe@gmail.com>

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Package myTAI updated to version 0.8.0 with previous version 0.7.0 dated 2018-04-11

Title: Evolutionary Transcriptomics
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2017) <doi:10.1093/bioinformatics/btx835>). The aim of this tool is to provide a transcriptome analysis environment for answering questions regarding the evolution of biological processes (Drost et al. (2016) <doi:10.1101/051565>).
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

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Package mratios updated to version 1.4.0 with previous version 1.3.17 dated 2012-11-02

Title: Ratios of Coefficients in the General Linear Model
Description: Performs (simultaneous) inferences for ratios of linear combinations of coefficients in the general linear model. Multiple comparisons and simultaneous confidence interval estimations can be performed for ratios of treatment means in the normal one-way layout with homogeneous and heterogeneous treatment variances, according to Dilba et al. (2007) <https://cran.r-project.org/doc/Rnews/Rnews_2007-1.pdf> and Hasler and Hothorn (2008) <doi:10.1002/bimj.200710466>. Confidence interval estimations for ratios of linear combinations of linear model parameters like in (multiple) slope ratio and parallel line assays can be carried out. Moreover, it is possible to calculate the sample sizes required in comparisons with a control based on relative margins. For the simple two-sample problem, functions for a t-test for ratio-formatted hypotheses and the corresponding confidence interval are provided assuming homogeneous or heterogeneous group variances.
Author: Gemechis Djira [aut], Mario Hasler [aut], Daniel Gerhard [aut], Frank Schaarschmidt [aut, cre]
Maintainer: Frank Schaarschmidt <schaarschmidt@biostat.uni-hannover.de>

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Package mleap updated to version 0.1.2 with previous version 0.1.1 dated 2018-05-10

Title: Interface to 'MLeap'
Description: A 'sparklyr' <https://spark.rstudio.com> extension that provides an interface to 'MLeap' <https://github.com/combust/mleap>, an open source library that enables exporting and serving of 'Apache Spark' pipelines.
Author: Kevin Kuo [aut, cre] (<https://orcid.org/0000-0001-7803-7901>)
Maintainer: Kevin Kuo <kevin.kuo@rstudio.com>

Diff between mleap versions 0.1.1 dated 2018-05-10 and 0.1.2 dated 2018-05-23

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Package histmdl updated to version 0.7-1 with previous version 0.6-1 dated 2016-09-28

Title: A Most Informative Histogram-Like Model
Description: Using the MDL principle, it is possible to estimate parameters for a histogram-like model. The package contains the implementation of such an estimation method.
Author: Jouke Witteveen
Maintainer: Jouke Witteveen <j.witteveen@gmail.com>

Diff between histmdl versions 0.6-1 dated 2016-09-28 and 0.7-1 dated 2018-05-23

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Package haploR updated to version 1.6.4 with previous version 1.6.2 dated 2017-10-31

Title: Query 'HaploReg' and 'RegulomeDB'
Description: A set of utilities for querying 'HaploReg' <http://archive.broadinstitute.org/mammals/haploreg/haploreg.php> and 'RegulomeDB' <http://www.regulomedb.org> web-based tools. The package connects to 'HaploReg' or 'RegulomeDB', searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
Author: Ilya Y. Zhbannikov [aut, cre]
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between haploR versions 1.6.2 dated 2017-10-31 and 1.6.4 dated 2018-05-23

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Package synlik updated to version 0.1.2 with previous version 0.1.1 dated 2014-06-08

Title: Synthetic Likelihood Methods for Intractable Likelihoods
Description: Framework to perform synthetic likelihood inference for models where the likelihood function is unavailable or intractable.
Author: Matteo Fasiolo and Simon Wood
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

Diff between synlik versions 0.1.1 dated 2014-06-08 and 0.1.2 dated 2018-05-23

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Package LS2W updated to version 1.3.4 with previous version 1.3-3 dated 2013-07-12

Title: Locally Stationary Two-Dimensional Wavelet Process Estimation Scheme
Description: Estimates two-dimensional local wavelet spectra.
Author: Idris Eckley [aut, cre], Guy Nason [aut], Sarah Taylor [ctb], Matthew Nunes [ctb]
Maintainer: Idris Eckley <i.eckley@lancaster.ac.uk>

Diff between LS2W versions 1.3-3 dated 2013-07-12 and 1.3.4 dated 2018-05-23

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Package bssm updated to version 0.1.5 with previous version 0.1.4 dated 2018-02-04

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo and parallel importance sampling type weighted Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>). Gaussian, Poisson, binomial, or negative binomial observation densities and basic stochastic volatility models with Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske, Matti Vihola
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between bssm versions 0.1.4 dated 2018-02-04 and 0.1.5 dated 2018-05-23

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Package vardpoor updated to version 0.10.0 with previous version 0.9.11 dated 2017-11-07

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

Diff between vardpoor versions 0.9.11 dated 2017-11-07 and 0.10.0 dated 2018-05-23

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New package ODEsensitivity with initial version 1.1.0
Package: ODEsensitivity
Version: 1.1.0
Title: Sensitivity Analysis of Ordinary Differential Equations
Description: Performs sensitivity analysis in ordinary differential equation (ode) models. The package utilize the ode interface from 'deSolve' and connects it with the sensitivity analysis from 'sensitivity'. Additionally we add a method to run the sensitivity analysis on variables with class 'ODEnetwork'. A detailed plotting function provides outputs on the calculations.
Authors@R: c( person("Stefan", "Theers", email = "stefan.theers@tu-dortmund.de", role = "aut"), person("Frank", "Weber", email = "frank.weber@tu-dortmund.de", role = "aut"), person("Dirk", "Surmann", email = "surmann@statistik.tu-dortmund.de", role = c("ctb", "cre") , comment = c(ORCID = "0000-0003-0873-137X")) )
URL: https://github.com/surmann/ODEsensitivity
BugReports: https://github.com/surmann/ODEsensitivity/issues
License: LGPL-3
Encoding: UTF-8
Depends: R (>= 3.1.1), checkmate, deSolve, ODEnetwork (>= 1.3.0), sensitivity (>= 1.12.1)
Suggests: covr, knitr, parallel, rmarkdown, testthat
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2018-05-22 14:02:50 UTC; surmann
Author: Stefan Theers [aut], Frank Weber [aut], Dirk Surmann [ctb, cre] (<https://orcid.org/0000-0003-0873-137X>)
Maintainer: Dirk Surmann <surmann@statistik.tu-dortmund.de>
Repository: CRAN
Date/Publication: 2018-05-23 12:49:34 UTC

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Package excel.link updated to version 0.9.8-1 with previous version 0.9.7 dated 2017-05-01

Title: Convenient Data Exchange with Microsoft Excel
Description: Allows access to data in running instance of Microsoft Excel (e. g. 'xl[a1] = xl[b2]*3' and so on). Graphics can be transferred with 'xl[a1] = current.graphics()'. Additionally there are function for reading/writing 'Excel' files - 'xl.read.file'/'xl.save.file'. They are not fast but able to read/write '*.xlsb'-files and password-protected files. There is an Excel workbook with examples of calling R from Excel in the 'doc' folder. It tries to keep things as simple as possible - there are no needs in any additional installations besides R, only 'VBA' code in the Excel workbook. Microsoft Excel is required for this package.
Author: Gregory Demin <excel.link.feedback@gmail.com>. To comply CRAN policy includes source code from 'RDCOMClient' (http://www.omegahat.net/RDCOMClient) by Duncan Temple Lang <duncan@wald.ucdavis.edu>.
Maintainer: Gregory Demin <excel.link.feedback@gmail.com>

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Package adespatial updated to version 0.2-0 with previous version 0.1-1 dated 2018-01-16

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM).
Author: Stéphane Dray, David Bauman, Guillaume Blanchet, Daniel Borcard, Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque, Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stéphane Dray <stephane.dray@univ-lyon1.fr>

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Package AdaptFitOS updated to version 0.67 with previous version 0.65 dated 2017-09-22

Title: Adaptive Semiparametric Additive Regression with Simultaneous Confidence Bands and Specification Tests
Description: Fits semiparametric additive regression models with spatially adaptive penalized splines and computes simultaneous confidence bands and associated specification (lack-of-fit) tests. Simultaneous confidence bands cover the entire curve with a prescribed level of confidence and allow us to assess the estimation uncertainty for the whole curve. In contrast to pointwise confidence bands, they permit statements about the statistical significance of certain features (e.g. bumps) in the underlying curve.The method allows for handling of spatially heterogeneous functions and their derivatives as well as heteroscedasticity in the data. See Wiesenfarth et al (2012) <doi:10.1080/01621459.2012.682809>.
Author: Manuel Wiesenfarth and Tatyana Krivobokova
Maintainer: Manuel Wiesenfarth <m.wiesenfarth@dkfz.de>

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Package gsEasy updated to version 1.3 with previous version 1.1 dated 2016-08-06

Title: Gene Set Enrichment Analysis in R
Description: R-interface to C++ implementation of the rank/score permutation based GSEA test (Subramanian et al 2005 <doi: 10.1073/pnas.0506580102>).
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Package btb updated to version 0.1.30 with previous version 0.1.25 dated 2018-05-17

Title: Beyond the Border - Kernel Density Estimation for Urban Geography
Description: The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwith) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles, centroids) for a geographically weighted median and user grid. Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) <doi:10.1080/13658816.2014.937718>.
Author: Arlindo Dos Santos [cre], Francois Semecurbe [drt, aut], Auriane Renaud [ctb], Cynthia Faivre [ctb], Thierry Cornely [ctb], Farida Marouchi [ctb], Farida Marouchi [ctb]
Maintainer: Arlindo Dos Santos <Arlindo.Dos-Santos@insee.fr>

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Package monotonicity updated to version 1.1 with previous version 1.0 dated 2018-04-18

Title: Test for Monotonicity in Expected Asset Returns, Sorted by Portfolios
Description: Test for monotonicity in financial variables sorted by portfolios. It is conventional practice in empirical research to form portfolios of assets ranked by a certain sort variable. A t-test is then used to consider the mean return spread between the portfolios with the highest and lowest values of the sort variable. Yet comparing only the average returns on the top and bottom portfolios does not provide a sufficient way to test for a monotonic relation between expected returns and the sort variable. This package provides nonparametric tests for the full set of monotonic patterns by Patton, A. and Timmermann, A. (2010) <doi:10.1016/0304-4076(89)90094-8> and compares the proposed results with extant alternatives such as t-tests, Bonferroni bounds, and multivariate inequality tests through empirical applications and simulations.
Author: Siegfried Köstlmeier [aut, cre, trl]
Maintainer: Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com>

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Package scholar updated to version 0.1.6 with previous version 0.1.4 dated 2015-11-21

Title: Analyse Citation Data from Google Scholar
Description: Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), James Keirstead [aut], Gregory Jefferis [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package latdiag updated to version 0.2-4 with previous version 0.2-3 dated 2016-10-19

Title: Draws Diagrams Useful for Checking Latent Scales
Description: A graph proposed by Rosenbaum is useful for checking some properties of various sorts of latent scale, this program generates commands to obtain the graph using 'dot' from 'graphviz'.
Author: Michael Dewey
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

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Package evtree updated to version 1.0-7 with previous version 1.0-6 dated 2017-12-15

Title: Evolutionary Learning of Globally Optimal Trees
Description: Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over the parameter space of trees is to use global optimization methods like evolutionary algorithms. The 'evtree' package implements an evolutionary algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while the 'partykit' package is leveraged to represent the resulting trees in R, providing unified infrastructure for summaries, visualizations, and predictions.
Author: Thomas Grubinger [aut, cre], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>>), Karl-Peter Pfeiffer [aut]
Maintainer: Thomas Grubinger <ThomasGrubinger@gmail.com>

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Package mosaic updated to version 1.2.0 with previous version 1.1.1 dated 2017-11-28

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (<http://mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim <rpruim@calvin.edu>, Daniel T. Kaplan <kaplan@macalester.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>

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More information about mosaic at CRAN
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