Fri, 01 Nov 2019

Package MatchThem updated to version 0.9.0 with previous version 0.8.1 dated 2019-10-10

Title: Matching and Weighting Multiply Imputed Datasets
Description: Provides the necessary tools for the pre-processing techniques of matching and weighting multiply imputed datasets to control for effects of confounders and to reduce the degree of dependence on certain modeling assumptions in studying the causal associations between an exposure and an outcome. This package includes functions to perform matching within and across the multiply imputed datasets using several matching methods, to estimate weights of units in the imputed datasets using several weighting methods, to calculate the causal effect estimate in each matched or weighted dataset using parametric or non-parametric statistical models, and to pool the obtained estimates from these models according to Rubin's rules (please see <https://github.com/FarhadPishgar/MatchThem> for details).
Author: Farhad Pishgar [aut, cre], Noah Greifer [aut], Clémence Leyrat [ctb]
Maintainer: Farhad Pishgar <Farhad.Pishgar@Gmail.com>

Diff between MatchThem versions 0.8.1 dated 2019-10-10 and 0.9.0 dated 2019-11-01

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New package diffEnrich with initial version 0.1.0
Package: diffEnrich
Title: Given a List of Gene Symbols, Performs Differential Enrichment Analysis
Version: 0.1.0
Authors@R: c(person(given = "Harry", family = "Smith", role = c("aut", "cre"), email = "harry.smith@ucdenver.edu"), person(given = "Laura", family = "Saba", role = c("aut"), email = "laura.saba@cuanschutz.edu"))
Description: Compare functional enrichment between two experimentally-derived groups of genes or proteins (Peterson, DR., et al.(2018)) <doi: 10.1371/journal.pone.0198139>. Given a list of gene symbols, *diffEnrich* will perform differential enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) REST API. This package provides a number of functions that are intended to be used in a pipeline. Briefly, the user provides a KEGG formatted species id for either human, mouse or rat, and the package will download and clean species specific ENTREZ gene IDs and map them to their respective KEGG pathways by accessing KEGG's REST API. KEGG's API is used to guarantee the most up-to-date pathway data from KEGG. Next, the user will identify significantly enriched pathways from two gene sets, and finally, the user will identify pathways that are differentially enriched between the two gene sets. In addition to the analysis pipeline, this package also provides a plotting function.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/SabaLab/diffEnrich
BugReports: https://github.com/SabaLab/diffEnrich/issues
Suggests: knitr, rmarkdown, kableExtra, diagram
Depends: dplyr, ggplot2, R (>= 2.10)
Imports: here, stats, rlang, stringr, reshape2, ggnewscale
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-11-01 16:26:04 UTC; smiharry
Author: Harry Smith [aut, cre], Laura Saba [aut]
Maintainer: Harry Smith <harry.smith@ucdenver.edu>
Repository: CRAN
Date/Publication: 2019-11-01 22:20:02 UTC

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Package castor updated to version 1.5.0 with previous version 1.4.3 dated 2019-09-20

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.4.3 dated 2019-09-20 and 1.5.0 dated 2019-11-01

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 28 files changed, 4054 insertions(+), 416 deletions(-)

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Package insurancerating updated to version 0.4.3 with previous version 0.4.2 dated 2019-05-31

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. The package also adds functionality showing additional lines for the reference categories in the levels of the coefficients in the output of a generalized linear regression analysis. In addition it implements a procedure determining the level of a factor with the largest exposure, and thereafter changing the base level of the factor to this level.
Author: Martin Haringa
Maintainer: Martin Haringa <mtharinga@gmail.com>

Diff between insurancerating versions 0.4.2 dated 2019-05-31 and 0.4.3 dated 2019-11-01

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 13 files changed, 79 insertions(+), 42 deletions(-)

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Package replyr updated to version 1.0.5 with previous version 1.0.4 dated 2019-07-24

Title: Patches to Use 'dplyr' on Remote Data Sources
Description: Patches to use 'dplyr' on remote data sources ('SQL' databases, 'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning user code works similarly on all such sources, without needing per-source adaption). Due to the fluctuating nature of 'dplyr'/'dbplyr'/'rlang' 'APIs' this package is going into maintenance mode. Most of the 'replyr' functions are now done better by one of the non-monolithic replacement packages: 'wrapr', 'seplyr', 'rquery', or 'cdata'.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between replyr versions 1.0.4 dated 2019-07-24 and 1.0.5 dated 2019-11-01

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New package Rmst with initial version 0.0.1
Package: Rmst
Type: Package
Title: Computerized Adaptive Multistage Testing
Version: 0.0.1
Date: 2019-10-23
Authors@R: c(person("Xiao", "Luo", role=c("aut","cre"), email="xluo1986@gmail.com"))
Author: Xiao Luo [aut, cre]
Maintainer: Xiao Luo <xluo1986@gmail.com>
Description: Assemble the panels of computerized adaptive multistage testing by the bottom-up and the top-down approach, and simulate the administration of the assembled panels. The full documentation and tutorials are at <https://github.com/xluo11/Rmst>. Reference: Luo and Kim (2018) <doi:10.1111/jedm.12174>.
License: GPL (>= 3)
Depends: R (>= 3.6.0)
URL: https://github.com/xluo11/Rmst
BugReports: https://github.com/xluo11/Rmst/issues
Imports: ggplot2, Rata, reshape2, Rirt, stats
Suggests: testthat
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-10-29 18:38:03 UTC; Luo.Xiao
Repository: CRAN
Date/Publication: 2019-11-01 12:20:03 UTC

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New package ribd with initial version 1.0.0
Package: ribd
Type: Package
Title: Pedigree-based Relatedness Coefficients
Version: 1.0.0
Authors@R: person("Magnus Dehli", "Vigeland", email = "m.d.vigeland@medisin.uio.no", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9134-4962"))
Description: Recursive algorithms for computing various relatedness coefficients, including pairwise kinship, kappa and identity coefficients. Both autosomal and X-linked coefficients are computed. Founders are allowed to be inbred. In addition to the standard pairwise coefficients, ribd also computes a range of lesser-known coefficients, including generalised kinship coefficients (Karigl (1981) <doi:10.1111/j.1469-1809.1981.tb00341.x>; Weeks and Lange (1988) <https:www.ncbi.nlm.nih.gov/pmc/articles/PMC1715269>), two-locus coefficients (Thompson (1988) <doi:10.1093/imammb/5.4.261>) and multi-person coefficients. This package is part of the ped suite, a collection of packages for pedigree analysis with 'pedtools' as the core package for creating and handling pedigree objects.
License: GPL-3
URL: https://github.com/magnusdv/ribd
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 3.5.0), pedtools
Imports: slam, kinship2, glue
Suggests: identity, testthat
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-29 18:08:03 UTC; magnusdv
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2019-11-01 12:10:02 UTC

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New package pedprobr with initial version 0.1.0
Package: pedprobr
Type: Package
Title: Probability Computations on Pedigrees
Version: 0.1.0
Authors@R: person("Magnus Dehli", "Vigeland", email = "m.d.vigeland@medisin.uio.no", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9134-4962"))
Description: An implementation of the Elston-Stewart algorithm for calculating pedigree likelihoods given genetic marker data (Elston and Stewart (1971) <doi:10.1159/000152448>). The standard algorithm is extended to allow inbred founders. Mutation modelling is supported by the 'pedmut' package. 'pedprobr' is part of the ped suite, a collection of packages for pedigree analysis in R, based on 'pedtools' for handling pedigrees and markers.
License: GPL-3
URL: https://github.com/magnusdv/pedprobr
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 3.1.0), pedtools
Imports: pedmut
Suggests: testthat
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-29 20:01:39 UTC; magnusdv
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2019-11-01 12:30:02 UTC

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New package presmTP with initial version 1.1.0
Package: presmTP
Type: Package
Title: Methods for Transition Probabilities
Version: 1.1.0
Date: 2019-10-04
Author: Gustavo Soutinho, Luis Meira-Machado and Pedro Oliveira
Maintainer: Gustavo Soutinho <gustavosoutinho@sapo.pt>
Description: Provides a function for estimating the transition probabilities in an illness-death model. The transition probabilities can be estimated from the unsmoothed landmark estimators developed by de Una-Alvarez and Meira-Machado (2015) <doi:10.1111/biom.12288>. Presmoothed estimates can also be obtained through the use of a parametric family of binary regression curves, such as logit, probit or cauchit. The additive logistic regression model and nonparametric regression are also alternatives which have been implemented. The idea behind the presmoothed landmark estimators is to use the presmoothing techniques developed by Cao et al. (2005) <doi:10.1007/s00180-007-0076-6> in the landmark estimation of the transition probabilities.
Depends: R (>= 3.0.0)
Encoding: UTF-8
License: GPL-3
LazyData: true
Imports: survPresmooth, mgcv
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-29 14:39:01 UTC; ASUS
Repository: CRAN
Date/Publication: 2019-11-01 11:20:02 UTC

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Package pivottabler updated to version 1.2.3 with previous version 1.2.2 dated 2019-09-20

Title: Create Pivot Tables in R
Description: Create regular pivot tables with just a few lines of R. More complex pivot tables can also be created, e.g. pivot tables with irregular layouts, multiple calculations and/or derived calculations based on multiple data frames. Pivot tables are constructed using R only and can be written to a range of output formats (plain text, 'HTML', 'Latex' and 'Excel'), including with styling/formatting.
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>

Diff between pivottabler versions 1.2.2 dated 2019-09-20 and 1.2.3 dated 2019-11-01

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New package porridge with initial version 0.0.1
Package: porridge
Type: Package
Title: Ridge-Type Penalized Estimation of a Potpourri of Models
Version: 0.0.1
Date: 2019-10-28
Author: Wessel N. van Wieringen [aut, cre], Mehran Aflakparast [ctb] (part of the R-code of the mixture functionality)
Maintainer: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>
Authors@R: c(person("Wessel N.", "van Wieringen", role = c("aut", "cre"), email="w.vanwieringen@vumc.nl"), person("Mehran", "Aflakparast", role = "ctb", comment="part of the R-code of the mixture functionality"))
Description: The name of the package is derived from the French, 'pour' ridge, and provides functionality for ridge-type estimation of a potpourri of models. Currently, this estimation concerns that of various Gaussian graphical models from different study designs. Among others it considers the regular Gaussian graphical model and a mixture of such models. The porridge-package implements the estimation of the former either from i) data with replicated observations by penalized loglikelihood maximization using the regular ridge penalty on the parameters (van Wieringen, Chen, 2019) or ii) from non-replicated data by means of the generalized ridge estimator that allows for both the inclusion of quantitative and qualitative prior information on the precision matrix via element-wise penalization and shrinkage (van Wieringen, 2019, <doi.org/10.1080/10618600.2019.1604374>). Additionally, the porridge-package facilitates the ridge penalized estimation of a mixture of Gaussian graphical models (Aflakparast et al., 2018, <doi.org/10.1002/bimj.201700102>).
License: GPL (>= 2)
LazyLoad: yes
URL: http://www.few.vu.nl/~wvanwie
Depends: R (>= 2.15.1), rags2ridges
Imports: MASS, stats, mvtnorm
Suggests: Matrix
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2019-10-29 14:26:20 UTC; wessel
Repository: CRAN
Date/Publication: 2019-11-01 11:20:05 UTC

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New package opencastR with initial version 0.1.1
Type: Package
Package: opencastR
Title: 'Opencast' External API Package
Version: 0.1.1
Authors@R: c( person("Daniel", "Ebbert", email = "daniel.ebbert@uni-muenster.de", role = c("cre", "aut"), comment = c(ORCID = "0000-0003-3666-7205")))
Description: Query the external API of a 'Opencast' video management server for information related to the recorded videos. For more information about 'Opencast' see: <https://opencast.org>.
License: Apache License (>= 2.0)
URL: http://opencastr.ebbert.nrw/
BugReports: https://github.com/ebbertd/opencastR/issues
Imports: httr, jsonlite
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2019-10-29 15:12:28 UTC; ebbertd
Author: Daniel Ebbert [cre, aut] (<https://orcid.org/0000-0003-3666-7205>)
Maintainer: Daniel Ebbert <daniel.ebbert@uni-muenster.de>
Repository: CRAN
Date/Publication: 2019-11-01 11:30:03 UTC

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Package DAIME updated to version 2.0 with previous version 1.1 dated 2019-06-11

Title: Effects of Changing Deposition Rates
Description: Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .
Author: Niklas Hohmann
Maintainer: Niklas Hohmann <Niklas.Hohmann@fau.de>

Diff between DAIME versions 1.1 dated 2019-06-11 and 2.0 dated 2019-11-01

 DESCRIPTION                     |    8 +-
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 29 files changed, 474 insertions(+), 819 deletions(-)

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New package fplot with initial version 0.1.0
Package: fplot
Type: Package
Title: Automatic Distribution Graphs Using Formulas
Version: 0.1.0
Authors@R: person("Laurent", "Berge", email = "laurent.berge@uni.lu", role = c("aut", "cre"))
Imports: stats, graphics, utils, Formula, Rcpp
Suggests: knitr, rmarkdown, fixest
LinkingTo: Rcpp
Depends: R(>= 3.5.0), data.table
Description: Easy way to plot common types of graphics with moderators by using formulas. The core of the package concerns distribution plots which are automatic: the many options are tailored to the data at hand to offer the nicest and most meaningful graphs possible -- with no/minimum user input.
License: GPL-3
SystemRequirements: C++11
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-10-29 08:42:35 UTC; laurent.berge
Author: Laurent Berge [aut, cre]
Maintainer: Laurent Berge <laurent.berge@uni.lu>
Repository: CRAN
Date/Publication: 2019-11-01 10:10:02 UTC

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Package packagefinder updated to version 0.1.5 with previous version 0.1.4 dated 2019-05-27

Title: Comfortable Search for R Packages on CRAN Directly from the R Console
Description: Search for R packages on CRAN directly from the R console, based on the packages' titles, short and long descriptions, or other fields. Combine multiple keywords with logical operators ('and', 'or'), view detailed information on any package and keep track of the latest package contributions to CRAN.
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>

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New package cops with initial version 1.0-2
Package: cops
Title: Cluster Optimized Proximity Scaling
Version: 1.0-2
Date: 2019-10-28
Authors@R: c(person(given="Thomas", family="Rusch", email="thomas.rusch@wu.ac.at", role = c("aut","cre"), comment = c(ORCID = "0000-0002-7773-2096")), person(given="Jan",family="de Leeuw", role = c("aut")), person(given="Patrick",family="Mair", role = "aut"))
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>
Description: Cluster optimized proximity scaling (COPS) refers to multidimensional scaling (MDS) methods that aim at pronouncing the clustered appearance of the configuration. They achieve this by transforming proximities/distances with power functions and augment the fitting criterion with a clusteredness index, the OPTICS Cordillera (Rusch, Hornik & Mair, 2018, <doi:10.1080/10618600.2017.1349664>). There are two variants: One for finding the configuration directly for given parameters (COPS-C) for ratio, interval and non-metric MDS (Borg & Groenen, 2005, ISBN:978-0-387-28981-6), and one for using the augmented fitting criterion to find optimal parameters (P-COPS). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying different MDS models in a COPS framework like ratio, interval and non-metric MDS for COPS-C and P-COPS with Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459), scaling by majorizing a complex function (SMACOF; de Leeuw, 1977, <https://escholarship.org/uc/item/4ps3b5mj>), Sammon mapping (Sammon, 1969, <doi:10.1109/T-C.1969.222678>), elastic scaling (McGee, 1966, <doi:10.1111/j.2044-8317.1966.tb00367.x>), s-stress (Takane, Young & de Leeuw, 1977, <doi:10.1007/BF02293745>, r-stress (de Leeuw, Groenen & Mair, 2016, <https://rpubs.com/deleeuw/142619>), power-stress (Buja & Swayne, 2002 <doi:10.1007/s00357-001-0031-0>) and power elastic scaling, power Sammon mapping and approximated power stress (Rusch, Mair & Hornik, 2015, <https://bach-s59.wu.ac.at/4888/>). All of these models can also solely be fit as MDS with power transformations. The package further contains a function for pattern search optimization, the "Adaptive Luus-Jakola Algorithm" (Rusch, Mair & Hornik, 2015, <https://bach-s59.wu.ac.at/4888/>).
Depends: R (>= 3.1.2), cordillera (>= 0.7-2), smacof (>= 1.10-4)
Imports: MASS, minqa, pso, scatterplot3d, NlcOptim, Rsolnp, dfoptim, subplex, cmaes, crs, nloptr, rgl, rgenoud, GenSA
Enhances: stats
Suggests: testthat
License: GPL-2 | GPL-3
LazyData: true
URL: http://r-forge.r-project.org/projects/stops/
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-10-28 22:48:38 UTC; trusch
Author: Thomas Rusch [aut, cre] (<https://orcid.org/0000-0002-7773-2096>), Jan de Leeuw [aut], Patrick Mair [aut]
Repository: CRAN
Date/Publication: 2019-11-01 09:30:02 UTC

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Package icesTAF updated to version 3.2-0 with previous version 3.1-1 dated 2019-05-24

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <http://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Alexandros Kokkalis [ctb]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

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Package workflowr updated to version 1.5.0 with previous version 1.4.0 dated 2019-06-08

Title: A Framework for Reproducible and Collaborative Data Science
Description: Provides a workflow for your analysis projects by combining literate programming ('knitr' and 'rmarkdown') and version control ('Git', via 'git2r') to generate a website containing time-stamped, versioned, and documented results.
Author: John Blischak [aut, cre] (<https://orcid.org/0000-0003-2634-9879>), Peter Carbonetto [aut] (<https://orcid.org/0000-0003-1144-6780>), Matthew Stephens [aut] (<https://orcid.org/0000-0001-5397-9257>), Luke Zappia [ctb] (Instructions for hosting with GitLab), Pierre Formont [ctb] (Support for hosting with Shiny Server), Tim Trice [ctb] (Instructions for sharing common code), Jiaxiang Li [ctb] (Function wflow_toc() to create table of contents), Michael J. Kane [ctb] (<https://orcid.org/0000-0003-1899-6662>, Option suppress_report)
Maintainer: John Blischak <jdblischak@uchicago.edu>

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Package sentometrics updated to version 0.7.6 with previous version 0.7.5 dated 2019-10-30

Title: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
Description: Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2019) <doi:10.2139/ssrn.3067734>.
Author: Samuel Borms [aut, cre] (<https://orcid.org/0000-0001-9533-1870>), David Ardia [aut] (<https://orcid.org/0000-0003-2823-782X>), Keven Bluteau [aut] (<https://orcid.org/0000-0003-2990-4807>), Kris Boudt [aut] (<https://orcid.org/0000-0002-1000-5142>), Jeroen Van Pelt [ctb], Andres Algaba [ctb]
Maintainer: Samuel Borms <samuel.borms@unine.ch>

Diff between sentometrics versions 0.7.5 dated 2019-10-30 and 0.7.6 dated 2019-11-01

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New package cabinets with initial version 0.3.1
Package: cabinets
Title: Project Specific Workspace Organization Templates
Version: 0.3.1
Authors@R: person(given = "Nick", family = "Williams", role = c("aut", "cre"), email = "ntwilliams.personal@gmail.com")
Description: Creates project specific directory and file templates that are written to a .Rprofile file. Upon starting a new R session, these templates can be used to streamline the creation of new directories that are standardized to the user's preferences.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.99.9001
Imports: here, rjson, glue, R6, usethis, rstudioapi, crayon, fs, stringr, utils, purrr, withr
Suggests: testthat (>= 2.1.0), covr
NeedsCompilation: no
Packaged: 2019-10-31 22:43:11 UTC; niw4001
Author: Nick Williams [aut, cre]
Maintainer: Nick Williams <ntwilliams.personal@gmail.com>
Repository: CRAN
Date/Publication: 2019-11-01 07:30:02 UTC

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Package xmeta updated to version 1.1-5 with previous version 1.1-4 dated 2017-08-16

Title: A Toolbox for Multivariate Meta-Analysis
Description: A toolbox for meta-analysis. This package includes a collection of functions for (1) implementing robust multivariate meta-analysis of continuous or binary outcomes; and (2) a bivariate Egger's test for detecting small study effects.
Author: Yong Chen [aut, cre], Chuan Hong [aut], Haitao Chu [ctb], Yulun Liu [ctb]
Maintainer: Yong Chen <ychen123@upenn.edu>

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Package sommer updated to version 4.0.8 with previous version 4.0.4 dated 2019-08-24

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using i.e. the two-dimensional spline functionality available in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package maximin updated to version 1.0-3 with previous version 1.0-2 dated 2019-02-02

Title: Space-Filling Design under Maximin Distance
Description: Constructs a space-filling design under the criterion of maximin distance. Both discrete and continuous versions are provided.
Author: Furong Sun <furongs@vt.edu>, Robert B. Gramacy <rbg@vt.edu>
Maintainer: Furong Sun <furongs@vt.edu>

Diff between maximin versions 1.0-2 dated 2019-02-02 and 1.0-3 dated 2019-11-01

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Package BDEsize updated to version 1.2 with previous version 1.1 dated 2019-03-31

Title: Efficient Determination of Sample Size in Balanced Design of Experiments
Description: Provides the sample size in balanced design of experiments and three graphs ; detectable standardized effect size vs power, sample size vs detectable standardized effect size, and sample size vs power. Sample size is computed in order to detect a certain standardized effect size with power at the significance level. Three graphs show the mutual relationship between the sample size, power and the detectable standardized effect size. By investigating those graphs, it can be checked that which effects are sensitive to the efficient sample size determination. Lenth,R.V.(2006-9) <http://www.stat.uiowa.edu/~rlenth/Power> Lim, Yong Bin (1998) Marvin, A., Kastenbaum, A. and Hoel, D.G. (1970) <doi:10.2307/2334851> Montgomery, Douglas C. (2013, ISBN: 0849323312).
Author: Jong Hee Chung, Yong Bin Lim
Maintainer: Jong Hee Chung <jochung947@gmail.com>

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