Mon, 01 Oct 2018

New package IMmailgun with initial version 0.1.2
Package: IMmailgun
Type: Package
Title: Send Emails using 'Mailgun'
Version: 0.1.2
Author: Ignacio Martinez
Maintainer: Ignacio Martinez <ignacio@protonmail.com>
Description: Send emails using the 'mailgun' api. To use this package you will need an account from <https://www.mailgun.com> .
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: httr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-09-27 17:10:00 UTC; rstudio
Repository: CRAN
Date/Publication: 2018-10-01 22:40:03 UTC

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New package EncDNA with initial version 1.0.1
Package: EncDNA
Type: Package
Title: Encoding of Nucleotide Sequences into Numeric Feature Vectors
Version: 1.0.1
Date: 2018-09-17
Author: Prabina Kumar Meher
Maintainer: Prabina Kumar Meher <meherprabin@yahoo.com>
Depends: R(>= 3.3.0)
Imports: Biostrings
LazyData: TRUE
Description: We describe fifteen different splice site sequence encoding schemes that have been used in earlier studies for mapping of splice site sequences into numeric feature vectors. These encoding schemes will also be helpful for transforming other nucleotide sequences into numeric forms, provided they are of equal length. These encoding schemes will help the computational biologist working in the field of classification (binary or multiclass) or prediction involving nucleic acid sequences of equal length.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-09-28 07:52:38 UTC; USER
Repository: CRAN
Date/Publication: 2018-10-01 22:30:03 UTC

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New package WeightedROC with initial version 2018.10.1
Package: WeightedROC
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Author: Toby Dylan Hocking
Version: 2018.10.1
License: GPL-3
Title: Fast, Weighted ROC Curves
Description: Fast computation of Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) for weighted binary classification problems (weights are example-specific cost values).
Suggests: ROCR, pROC, PRROC, microbenchmark, glmnet, ElemStatLearn, testthat, ggplot2, GsymPoint, geometry
NeedsCompilation: no
Packaged: 2018-10-01 20:17:48 UTC; tdhock
Repository: CRAN
Date/Publication: 2018-10-01 21:50:06 UTC

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New package hrIPW with initial version 0.1.2
Package: hrIPW
Title: Hazard Ratio Estimation using Cox Model Weighted by the Estimated Propensity Score
Version: 0.1.2
Authors@R: person("David", "Hajage", email = "david.hajage@aphp.fr", role = c("aut", "cre"))
Description: Estimates the log hazard ratio associated with a binary exposure using a Cox PH model weighted by the propensity score. Propensity model is estimated using a simple logistic regression. Variance estimation takes into account the propensity score estimation step with the method proposed by Hajage et al. (2018) <doi:10.1002/bimj.201700330>. Both the average treatment effect on the overall (ATE) or the treated (ATT) population can be estimated. For the ATE estimation, both unstabilized and stabilized weights can be used.
Depends: R (>= 3.3)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: survival
Suggests: IPWsurvival, boot
NeedsCompilation: no
Packaged: 2018-09-27 07:51:27 UTC; 3121805
Author: David Hajage [aut, cre]
Maintainer: David Hajage <david.hajage@aphp.fr>
Repository: CRAN
Date/Publication: 2018-10-01 21:50:02 UTC

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Package webuse updated to version 0.1.3 with previous version 0.1.2 dated 2015-07-29

Title: Import Stata 'webuse' Datasets
Description: A Stata-style `webuse()` function for importing named datasets from Stata's online collection.
Author: Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>), Jodi Beggs [cre, aut]
Maintainer: Jodi Beggs <jodi@alum.mit.edu>

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Package scriptexec updated to version 0.2.2 with previous version 0.2.1 dated 2017-11-25

Title: Execute Native Scripts
Description: Run complex native scripts with a single command, similar to system commands.
Author: Sagie Gur-Ari [aut, cre]
Maintainer: Sagie Gur-Ari <sagiegurari@gmail.com>

Diff between scriptexec versions 0.2.1 dated 2017-11-25 and 0.2.2 dated 2018-10-01

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Package quickPlot updated to version 0.1.5 with previous version 0.1.4 dated 2018-06-26

Title: A System of Plotting Optimized for Speed and Modularity
Description: A high-level plotting system, built using 'grid' graphics, that is optimized for speed and modularity. This has great utility for quick visualizations when testing code, with the key benefit that visualizations are updated independently of one another.
Author: Eliot J B McIntire [aut, cre] (<https://orcid.org/0000-0002-6914-8316>), Alex M Chubaty [aut] (<https://orcid.org/0000-0001-7146-8135>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package PeakSegJoint updated to version 2018.01.09 with previous version 2017.08.11 dated 2017-08-15

Title: Joint Peak Detection in Several ChIP-Seq Samples
Description: Jointly segment several ChIP-seq samples to find the peaks which are the same and different across samples. The fast approximate maximum Poisson likelihood algorithm is described in "PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples" <arXiv:1506.01286> by TD Hocking and G Bourque.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between PeakSegJoint versions 2017.08.11 dated 2017-08-15 and 2018.01.09 dated 2018-10-01

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Package SimRVPedigree updated to version 0.3.0 with previous version 0.2.0 dated 2018-08-17

Title: Simulate Pedigrees Ascertained for a Rare Disease
Description: Routines to simulate and manipulate pedigrees ascertained to contain multiple family members affected by a rare disease. Christina Nieuwoudt, Samantha J Jones, Angela Brooks-Wilson, and Jinko Graham (2018) <doi:10.1101/234153>.
Author: Christina Nieuwoudt [aut, cre], Jinko Graham [aut]
Maintainer: Christina Nieuwoudt <cnieuwou@sfu.ca>

Diff between SimRVPedigree versions 0.2.0 dated 2018-08-17 and 0.3.0 dated 2018-10-01

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Package memisc updated to version 0.99.14.12 with previous version 0.99.14.11 dated 2018-09-08

Title: Management of Survey Data and Presentation of Analysis Results
Description: An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

Diff between memisc versions 0.99.14.11 dated 2018-09-08 and 0.99.14.12 dated 2018-10-01

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Package SoyNAM updated to version 1.5 with previous version 1.4 dated 2018-02-02

Title: Soybean Nested Association Mapping Dataset
Description: Genomic and multi-environmental soybean data. Soybean Nested Association Mapping (SoyNAM) project dataset funded by the United Soybean Board (USB). See <doi.org/10.1534/g3.118.200332> and <doi.org/10.1534/g3.117.300300>. BLUP function formats data for genome-wide prediction and association analysis.
Author: Alencar Xavier, William Beavis, James Specht, Brian Diers, Rouf Mian, Reka Howard, George Graef, Randall Nelson, William Schapaugh, Dechun Wang, Grover Shannon, Leah McHale, Perry Cregan, Qijian Song, Miguel Lopez, William Muir, Katy Rainey.
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between SoyNAM versions 1.4 dated 2018-02-02 and 1.5 dated 2018-10-01

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Package landscapetools updated to version 0.4.0 with previous version 0.3.0 dated 2018-03-28

Title: Landscape Utility Toolbox
Description: Provides utility functions for some of the less-glamorous tasks involved in landscape analysis. It includes functions to coerce raster data to the common tibble format and vice versa, it helps with flexible reclassification tasks of raster data and it provides a function to merge multiple raster. Furthermore, 'landscapetools' helps landscape scientists to visualize their data by providing optional themes and utility functions to plot single landscapes, rasterstacks, -bricks and lists of raster.
Author: Marco Sciaini [aut, cre] (<https://orcid.org/0000-0002-3042-5435>), Matthias Fritsch [aut], Google [cph] (Roboto Condensed Font), Laura Graham [rev] (Laura reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188), Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188)
Maintainer: Marco Sciaini <sciaini.marco@gmail.com>

Diff between landscapetools versions 0.3.0 dated 2018-03-28 and 0.4.0 dated 2018-10-01

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New package AMR with initial version 0.4.0
Package: AMR
Version: 0.4.0
Date: 2018-10-01
Title: Antimicrobial Resistance Analysis
Authors@R: c( person( given = c("Matthijs", "S."), family = "Berends", email = "m.s.berends@umcg.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7620-1800")), person( given = c("Christian", "F."), family = "Luz", email = "c.f.luz@umcg.nl", role = c("aut", "rev"), comment = c(ORCID = "0000-0001-5809-5995")), person( given = c("Erwin", "E.A."), family = "Hassing", email = "e.hassing@certe.nl", role = "ctb"), person( given = "Corinna", family = "Glasner", email = "c.glasner@umcg.nl", role = "ths", comment = c(ORCID = "0000-0003-1241-1328")), person( given = c("Alex", "W."), family = "Friedrich", email = "alex.friedrich@umcg.nl", role = "ths", comment = c(ORCID = "0000-0003-4881-038X")), person( given = "Bhanu", family = "Sinha", email = "b.sinha@umcg.nl", role = "ths", comment = c(ORCID = "0000-0003-1634-0010")))
Description: Functions to simplify the analysis of Antimicrobial Resistance (AMR) of microbial isolates, by using new S3 classes and applying EUCAST expert rules on antibiograms according to Leclercq (2013) <doi:10.1111/j.1469-0691.2011.03703.x>.
Depends: R (>= 3.1.0)
Imports: backports, curl, data.table (>= 1.9.0), dplyr (>= 0.7.0), hms, knitr (>= 1.0.0), rlang (>= 0.2.0), rvest (>= 0.3.2), xml2 (>= 1.0.0)
Suggests: covr (>= 3.0.1), ggplot2, rmarkdown, rstudioapi, testthat (>= 1.0.2), tidyr
VignetteBuilder: knitr
URL: https://github.com/msberends/AMR
BugReports: https://github.com/msberends/AMR/issues
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-01 14:46:30 UTC; uscloud
Author: Matthijs S. Berends [aut, cre] (<https://orcid.org/0000-0001-7620-1800>), Christian F. Luz [aut, rev] (<https://orcid.org/0000-0001-5809-5995>), Erwin E.A. Hassing [ctb], Corinna Glasner [ths] (<https://orcid.org/0000-0003-1241-1328>), Alex W. Friedrich [ths] (<https://orcid.org/0000-0003-4881-038X>), Bhanu Sinha [ths] (<https://orcid.org/0000-0003-1634-0010>)
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>
Repository: CRAN
Date/Publication: 2018-10-01 17:30:11 UTC

More information about AMR at CRAN
Permanent link

Package rscorecard updated to version 0.10.0 with previous version 0.9.0 dated 2018-09-10

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@virginia.edu>

Diff between rscorecard versions 0.9.0 dated 2018-09-10 and 0.10.0 dated 2018-10-01

 DESCRIPTION   |    6 +++---
 MD5           |    8 +++++---
 NEWS.md       |    3 +++
 R/sysdata.rda |binary
 inst          |only
 5 files changed, 11 insertions(+), 6 deletions(-)

More information about rscorecard at CRAN
Permanent link

Package rtkore updated to version 1.5.5 with previous version 1.5.1 dated 2018-03-05

Title: 'STK++' Core Library Integration to 'R' using 'Rcpp'
Description: 'STK++' <http://www.stkpp.org> is a collection of C++ classes for statistics, clustering, linear algebra, arrays (with an 'Eigen'-like API), regression, dimension reduction, etc. The integration of the library to 'R' is using 'Rcpp'. The 'rtkore' package includes the header files from the 'STK++' core library. All files contain only template classes and/or inline functions. 'STK++' is licensed under the GNU LGPL version 2 or later. 'rtkore' (the 'stkpp' integration into 'R') is licensed under the GNU GPL version 2 or later. See file LICENSE.note for details.
Author: Serge Iovleff [aut, cre], Parmeet Bhatia [ctb]
Maintainer: Serge Iovleff <serge.iovleff@stkpp.org>

Diff between rtkore versions 1.5.1 dated 2018-03-05 and 1.5.5 dated 2018-10-01

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 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_ExprBase.h                      |   46 
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_ExprBaseProduct.h               |  103 
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_ExprBaseVisitor.h               |    7 
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_IArray1D.h                      |  345 +-
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_IArray2D.h                      |   12 
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_IArray2DBase.h                  |  183 +
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_IArrayBase.h                    |  128 -
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_ICArray.h                       |  308 +-
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_IContainerRef.h                 |    2 
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_ISparseArray.h                  |    8 
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_ITContainer.h                   |   34 
 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_ITContainer1D.h                 |   47 
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 rtkore-1.5.5/rtkore/inst/projects/Arrays/include/STK_SparseArray.h                   |    6 
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 rtkore-1.5.5/rtkore/inst/projects/Rtkpp/include/Rcpp_as.h                            |    2 
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More information about rtkore at CRAN
Permanent link

Package coRanking updated to version 0.1.4 with previous version 0.1.3 dated 2016-09-16

Title: Co-Ranking Matrix
Description: Calculates the co-ranking matrix to assess the quality of a dimensionality reduction.
Author: Guido Kraemer
Maintainer: Guido Kraemer <gkraemer@bgc-jena.mpg.de>

Diff between coRanking versions 0.1.3 dated 2016-09-16 and 0.1.4 dated 2018-10-01

 DESCRIPTION                      |   17 +++----
 LICENSE                          |only
 MD5                              |   54 +++++++++++-----------
 NAMESPACE                        |    4 +
 R/coranking-package.R            |    4 +
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 R/rankmatrix.R                   |   66 +++++++++++++--------------
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 man/coranking.Rd                 |    7 +-
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Package rcarbon updated to version 1.2.0 with previous version 1.1.3 dated 2018-06-26

Title: Calibration and Analysis of Radiocarbon Dates
Description: Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
Author: Andrew Bevan [aut], Enrico Crema [aut, cre], Fabio Silva [ctb]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

Diff between rcarbon versions 1.1.3 dated 2018-06-26 and 1.2.0 dated 2018-10-01

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Package DatabaseConnector updated to version 2.2.0 with previous version 2.1.4 dated 2018-08-21

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', and 'Google BigQuery'). Also includes support for fetching data as 'ffdf' objects. Uses 'Java Database Connectivity' ('JDBC') to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] (SQL Server JDBC driver), PostgreSQL Global Development Group [cph] (PostgreSQL JDBC driver), Starschema Ltd. [cph] (BigQuery JDBC driver), Oracle Inc. [cph] (Oracle JDBC driver), Amazon Inc. [cph] (RedShift JDBC driver)
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package spatstat.utils updated to version 1.10-0 with previous version 1.9-0 dated 2018-07-28

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' package which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.utils versions 1.9-0 dated 2018-07-28 and 1.10-0 dated 2018-10-01

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Package Rcpp updated to version 0.12.19 with previous version 0.12.18 dated 2018-07-23

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.18 dated 2018-07-23 and 0.12.19 dated 2018-10-01

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New package cosinor2 with initial version 0.2.0
Package: cosinor2
Title: Extended Tools for Cosinor Analysis of Rhythms
Description: Statistical procedures for calculating population–mean cosinor, non–stationary cosinor, estimation of best–fitting period, tests of population rhythm differences and more. See Cornélissen, G. (2014). <doi:10.1186/1742-4682-11-16>.
Version: 0.2.0
Author: Augustin Mutak <mutak94@gmail.com>
Maintainer: Augustin Mutak <mutak94@gmail.com>
Depends: R (>= 2.10), cosinor (>= 1.1)
Imports: cowplot (>= 0.9.3), scales (>= 1.0.0), magrittr (>= 1.5), stringr (>= 1.3.1), purrr(>= 0.2.5), ggplot2 (>= 3.0.0), matrixStats (>= 0.52.2), Hmisc (>= 4.0-3)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 6.1.0
LazyData: True
URL: https://github.com/amutak/cosinor2
BugReports: https://github.com/amutak/cosinor2/issues
NeedsCompilation: no
Repository: CRAN
Date: 2018-10-01
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2018-09-30 23:32:52 UTC; Augustin
Date/Publication: 2018-10-01 06:10:03 UTC

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Package rstan updated to version 2.17.4 with previous version 2.17.3 dated 2018-01-20

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] (R/cxxfunplus.R), The R Core Team [cph] (R/pairs.R, R/dynGet.R), Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R), Hadley Wickham [cph] (R/rtools.R), Joel de Guzman [cph] (Boost), John Fletcher [cph] (Boost), Thomas Heller [cph] (Boost), Eric Niebler [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between rstan versions 2.17.3 dated 2018-01-20 and 2.17.4 dated 2018-10-01

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Package ROI.plugin.nloptr updated to version 0.3-1 with previous version 0.3-0 dated 2017-10-22

Title: 'nloptr' Plug-in for the 'R' Optimization Infrastructure
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'NLopt' solver for solving nonlinear optimization problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.nloptr versions 0.3-0 dated 2017-10-22 and 0.3-1 dated 2018-10-01

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Package LocalControlStrategy updated to version 1.3.1 with previous version 1.3 dated 2018-09-21

Title: Local Control Strategy for Robust Analysis of Cross-Sectional Data
Description: Especially when cross-sectional data are observational, effects of treatment selection bias and confounding are revealed by using the unsupervised, nonparametric preprocessing methods central to Local Control (LC) Strategy. The LC objective is to estimate the "effect-size distribution" that best quantifies a potentially causal relationship between a numeric y-Outcome variable and a t-Treatment variable. This t-variable may be either binary {1 = "new" vs 0 = "control"} or a numeric measure of Exposure level. LC Strategy starts by CLUSTERING experimental units (patients) on baseline x-Covariates, forming mutually exclusive and exhaustive BLOCKS of relatively well-matched units. The implicit statistical model for LC is thus simple one-way ANOVA. The Within-Block measures of effect-size are Local Rank Correlations (LRCs) when Exposure is numeric with more than two levels. Otherwise, Treatment choice is Nested within BLOCKS, and effect-sizes are Local Treatment Differences (LTDs) between within-cluster y-Outcome Means ["new" minus "control"]. An Instrumental Variable (IV) method is also provided so that Local Average y-Outcomes (LAOs) within BLOCKS may also contribute information for effect-size inferences ...assuming that x-Covariates influence only Treatment choice or Exposure level and otherwise have no direct effects on y-Outcome.
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob@att.net>

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Package FactoClass updated to version 1.2.7 with previous version 1.2.4 dated 2018-03-01

Title: Combination of Factorial Methods and Cluster Analysis
Description: Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statistique Exploratoire Multidimensionnelle, Dunod, Paris. In order to permit to have different weights of the elements to be clustered, the function 'kmeansW', programmed in C++, is included. It is a modification of 'kmeans'. Some graphical functions include the option: 'gg=FALSE'. When 'gg=TRUE', they use the 'ggplot2' and 'ggrepel' packages to avoid the super-position of the labels.
Author: Campo Elias Pardo <cepardot@unal.edu.co>, Pedro Cesar del Campo <pcdelcampon@unal.edu.co> and Camilo Jose Torres <cjtorresj@unal.edu.co>, with the contributions from. Ivan Diaz <ildiazm@unal.edu.co>, Mauricio Sadinle <msadinleg@unal.edu.co>, Jhonathan Medina <jmedinau@unal.edu.co>.
Maintainer: Campo Elias Pardo <cepardot@unal.edu.co>

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