Thu, 16 Mar 2017

Package smooth updated to version 1.9.0 with previous version 1.7.0 dated 2017-02-24

Title: Forecasting Using Smoothing Functions
Description: The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.
Author: Ivan Svetunkov [aut, cre] (Research Associate at Lancaster Centre for Forecasting, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package rpgm updated to version 1.0.0 with previous version 0.1.3 dated 2017-02-28

Title: Fast Simulation of Normal/Exponential Random Variables and Stochastic Differential Equations
Description: Fast simulation of some random variables than the usual native functions, including rnorm() and rexp(), using Ziggurat method, reference: MARSAGLIA, George, TSANG, Wai Wan, and al. (2000) <doi:10.18637/jss.v005.i08>, and fast simulation of stochastic differential equations.
Author: Nicolas Baradel
Maintainer: Nicolas Baradel - PGM Solutions <nicolas.baradel@pgm-solutions.com>

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Package micEcon updated to version 0.6-14 with previous version 0.6-12 dated 2014-04-22

Title: Microeconomic Analysis and Modelling
Description: Various tools for microeconomic analysis and microeconomic modelling, e.g. estimating quadratic, Cobb-Douglas and Translog functions, calculating partial derivatives and elasticities of these functions, and calculating Hessian matrices, checking curvature and preparing restrictions for imposing monotonicity of Translog functions.
Author: Arne Henningsen
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between micEcon versions 0.6-12 dated 2014-04-22 and 0.6-14 dated 2017-03-16

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Package funModeling updated to version 1.6.2 with previous version 1.6.1 dated 2017-02-26

Title: Learn Data Science Through the "Data Science Live Book"
Description: Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book <http://livebook.datascienceheroes.com/> are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
Author: Pablo Casas
Maintainer: Pablo Casas <pcasas.biz@gmail.com>

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Package exams updated to version 2.2-1 with previous version 2.2-0 dated 2016-11-10

Title: Automatic Generation of Exams in R
Description: Automatic generation of exams based on exercises in Markdown or LaTeX format, possibly including R code for dynamic generation of exercise elements. Exercise types include single-choice and multiple-choice questions, arithmetic problems, string questions, and combinations thereof (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT, ...), Moodle XML, QTI 1.2 (for OLAT/OpenOLAT), QTI 2.1, Blackboard, ARSnova, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format is provided that can be printed, scanned, and automatically evaluated.
Author: Achim Zeileis [aut, cre], Bettina Gruen [aut], Friedrich Leisch [aut], Nikolaus Umlauf [aut], Niels Smits [ctb], Mirko Birbaumer [ctb], Dominik Ernst [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package BCSub updated to version 0.5 with previous version 0.3 dated 2017-01-20

Title: A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering)
Description: Gene expression profiles are commonly utilized to infer disease subtypes and many clustering methods can be adopted for this task. However, existing clustering methods may not perform well when genes are highly correlated and many uninformative genes are included for clustering. To deal with these challenges, we develop a novel clustering method in the Bayesian setting. This method, called BCSub, adopts an innovative semiparametric Bayesian factor analysis model to reduce the dimension of the data to a few factor scores for clustering. Specifically, the factor scores are assumed to follow the Dirichlet process mixture model in order to induce clustering.
Author: Jiehuan Sun [aut, cre], Joshua L. Warren [aut], and Hongyu Zhao [aut]
Maintainer: Jiehuan Sun <jiehuan.sun@yale.edu>

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Package potts updated to version 0.5-7 with previous version 0.5-6 dated 2017-03-15

Title: Markov Chain Monte Carlo for Potts Models
Description: Do Markov chain Monte Carlo (MCMC) simulation of Potts models (Potts, 1952, <https://doi.org/10.1017/S0305004100027419>), which are the multi-color generalization of Ising models (so, as as special case, also simulates Ising models). Use the Swendsen-Wang algorithm (Swendsen and Wang, 1987, <https://doi.org/10.1103/PhysRevLett.58.86>) so MCMC is fast. Do maximum composite likelihood estimation of parameters (Besag, 1975, <https://doi.org/10.2307/2987782>, Lindsay, 1988, <https://doi.org/10.1090/conm/080>).
Author: Charles J. Geyer <charlie@stat.umn.edu> and Leif Johnson <ltjohnson@google.com>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

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Package ncvreg updated to version 3.9-0 with previous version 3.8-0 dated 2017-01-06

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty.
Author: Patrick Breheny [aut,cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package lava updated to version 1.5 with previous version 1.4.8 dated 2017-03-16

Title: Latent Variable Models
Description: Estimation and simulation of latent variable models.
Author: Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package protolite updated to version 1.6 with previous version 1.5 dated 2016-09-06

Title: Fast and Simple Object Serialization to Protocol Buffers
Description: Optimized C++ implementations for reading and writing protocol-buffers. Currently supports 'rexp.proto' for serializing R objects and 'geobuf.proto' for geojson data. This lightweight package is complementary to the much larger 'RProtoBuf' package which provides a full featured toolkit for working with protocol-buffers in R.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between protolite versions 1.5 dated 2016-09-06 and 1.6 dated 2017-03-16

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Package TR8 updated to version 0.9.16 with previous version 0.9.15 dated 2016-12-14

Title: A Tool for Downloading Functional Traits Data for Plant Species
Description: Plant ecologists often need to collect "traits" data about plant species which are often scattered among various databases: TR8 contains a set of tools which take care of automatically retrieving some of those functional traits data for plant species from publicly available databases (Biolflor, The Ecological Flora of the British Isles, LEDA traitbase, Ellenberg values for Italian Flora, Mycorrhizal intensity databases, Catminat, BROT, PLANTS, Jepson Flora Project). The TR8 name, inspired by "car plates" jokes, was chosen since it both reminds of the main object of the package and is extremely short to type.
Author: Gionata Bocci <boccigionata@gmail.com>
Maintainer: Gionata Bocci <boccigionata@gmail.com>

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New package Rlda with initial version 0.1.0
Package: Rlda
Type: Package
Title: Bayesian LDA for Mixed-Membership Clustering Analysis
Version: 0.1.0
Author: Pedro Albuquerque and Denis Valle and Daijiang Li
Maintainer: Pedro Albuquerque <pedroa@unb.br>
Description: Describes the Bayesian LDA model for mixed-membership clustering based on different types of data (i.e., Multinomial, Bernoulli, and Binomial entries).
License: GPL-2
LazyData: TRUE
Depends: R (>= 2.10), Rcpp (>= 0.9.4), RcppProgress (>= 0.1)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Imports: gtools
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-03-16 14:01:05 UTC; p.albuquerque
Repository: CRAN
Date/Publication: 2017-03-16 16:16:17 UTC

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Package onewaytests updated to version 1.3 with previous version 1.2 dated 2016-07-29

Title: One-Way Tests for Independent Groups Designs
Description: Performs one-way tests for independent groups designs, graphical approaches, and assess variance homogeneity and normality of each group via tests and plots.
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between onewaytests versions 1.2 dated 2016-07-29 and 1.3 dated 2017-03-16

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Package missMDA updated to version 1.11 with previous version 1.10 dated 2016-03-25

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

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Package mexhaz updated to version 1.3 with previous version 1.2 dated 2017-03-14

Title: Mixed Effect Excess Hazard Models
Description: Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty).
Author: Hadrien Charvat, Aurelien Belot
Maintainer: Hadrien Charvat <chadrien@ncc.go.jp>

Diff between mexhaz versions 1.2 dated 2017-03-14 and 1.3 dated 2017-03-16

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New package graphkernels with initial version 1.0
Package: graphkernels
Type: Package
Title: Graph Kernels
Version: 1.0
Date: 2017-03-10
Author: Mahito Sugiyama
Maintainer: Mahito Sugiyama <mahito@ar.sanken.osaka-u.ac.jp>
Description: A fast C++ implementation of various graph kernels.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.9)
Depends: igraph (>= 1.0.1)
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2017-03-16 13:31:11 UTC; mahito
Repository: CRAN
Date/Publication: 2017-03-16 16:16:18 UTC

More information about graphkernels at CRAN
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Package qualpalr updated to version 0.4.0 with previous version 0.3.1 dated 2016-12-22

Title: Automatic Generation of Qualitative Color Palettes
Description: Automatic generation of distinct qualitative color palettes, optionally adapted to color blindness. It takes a subspace of the HSL color space as input and projects it to the DIN99d color space where it selects and return colors that are maximally distinct.
Author: Johan Larsson [aut, cre]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package micEconAids updated to version 0.6-18 with previous version 0.6-16 dated 2014-05-17

Title: Demand Analysis with the Almost Ideal Demand System (AIDS)
Description: Functions and tools for analysing consumer demand with the Almost Ideal Demand System (AIDS) suggested by Deaton and Muellbauer (1980).
Author: Arne Henningsen
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package fit.models updated to version 0.5-13 with previous version 0.5-10 dated 2013-02-23

Title: Compare Fitted Models
Description: A collection of functions for comparing fitted models.
Author: Kjell Konis <kjell.konis@me.com>.
Maintainer: Kjell Konis <kjell.konis@me.com>

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Package elevatr updated to version 0.1.3 with previous version 0.1.1 dated 2017-01-27

Title: Access Elevation Data from Various APIs
Description: Several web services are available that provide access to elevation data. This package provides access to several of those services and returns elevation data either as a SpatialPointsDataFrame from point elevation services or as a raster object from raster elevation services. Currently, the package supports access to the Mapzen Elevation Service <https://mapzen.com/documentation/elevation/elevation-service/>, Mapzen Terrain Service <https://mapzen.com/documentation/terrain-tiles/>, Amazon Web Services Terrain Tiles <https://aws.amazon.com/public-datasets/terrain/> and the USGS Elevation Point Query Service <http://ned.usgs.gov/epqs/>.
Author: Jeffrey Hollister [aut, cre], Tarak Shah [ctb]
Maintainer: Jeffrey Hollister <hollister.jeff@epa.gov>

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Package survival updated to version 2.41-2 with previous version 2.40-1 dated 2016-10-30

Title: Survival Analysis
Description: Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Author: Terry M Therneau [aut, cre], Thomas Lumley [ctb, trl] (original S->R port and maintainer until 2009)
Maintainer: Terry M Therneau <therneau.terry@mayo.edu>

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More information about survival at CRAN
Permanent link

Package cluster updated to version 2.0.6 with previous version 2.0.5 dated 2016-10-08

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre], Peter Rousseeuw [aut] (Fortran original), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000)), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between cluster versions 2.0.5 dated 2016-10-08 and 2.0.6 dated 2017-03-16

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Permanent link

Package valr updated to version 0.1.2 with previous version 0.1.1 dated 2016-12-01

Title: Genome Interval Arithmetic in R
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data.
Author: Jay Hesselberth [aut, cre], Kent Riemondy [aut], Ryan Sheridan [ctb]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

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More information about valr at CRAN
Permanent link

New package RankingProject with initial version 0.1.1
Package: RankingProject
Type: Package
Title: The Ranking Project: Visualizations for Comparing Populations
Version: 0.1.1
Date: 2017-03-16
Authors@R: c( person("Jerzy", "Wieczorek", email = "jerzywieczorek@gmail.com", role = c("cre", "aut")), person("Joel", "Beard", role = "ctb"), person("Andy", "Liaw", role = "ctb"), person("Robert", "Gentleman", role = "ctb"), person("Martin", "Maechler", role = "ctb"))
Description: Functions to generate plots and tables for comparing independently- sampled populations. Companion package to "A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals" by Wright, Klein, and Wieczorek (2017, in press).
License: GPL-2
LazyData: TRUE
Depends: R (>= 2.10)
Suggests: knitr (>= 1.15.1), rmarkdown (>= 0.9.6), tikzDevice (>= 0.10-1)
VignetteBuilder: knitr
URL: http://github.com/civilstat/RankingProject
BugReports: http://github.com/civilstat/RankingProject/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-16 11:49:31 UTC; jerzy
Author: Jerzy Wieczorek [cre, aut], Joel Beard [ctb], Andy Liaw [ctb], Robert Gentleman [ctb], Martin Maechler [ctb]
Maintainer: Jerzy Wieczorek <jerzywieczorek@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-16 13:35:05

More information about RankingProject at CRAN
Permanent link

New package prioritylasso with initial version 0.1.0
Package: prioritylasso
Type: Package
Title: Analyzing Multiple Omics Data with an Offset Approach
Version: 0.1.0
Author: Simon Klau, Anne-Laure Boulesteix
Maintainer: Simon Klau <simonklau@ibe.med.uni-muenchen.de>
Description: Fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block.
Depends: R (>= 2.10.0)
License: GPL-2
LazyData: TRUE
Imports: survival, glmnet
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, pROC
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-16 09:06:51 UTC; simonklau
Repository: CRAN
Date/Publication: 2017-03-16 13:35:07

More information about prioritylasso at CRAN
Permanent link

Package mrgsolve updated to version 0.8.6 with previous version 0.8.2 dated 2017-03-12

Title: Simulate from ODE-Based Population PK/PD and Systems Pharmacology Models
Description: Facilitates simulation from hierarchical, ordinary differential equation (ODE) based models typically employed in drug development. A model specification file is created consisting of R and C++ code that is parsed, compiled, and dynamically loaded into the R session. Input data are passed in and simulated data are returned as R objects. A dosing event engine allows interventions (bolus and infusion) to be managed separately from the model code. Differential equations are solved with the 'DLSODA' routine in 'ODEPACK' (<https://computation.llnl.gov/casc/odepack/>).
Author: Kyle T Baron [aut, cre], Alan C Hindmarsh [ctb], Linda R Petzold [ctb], Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Metrum Research Group LLC [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

Diff between mrgsolve versions 0.8.2 dated 2017-03-12 and 0.8.6 dated 2017-03-16

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More information about mrgsolve at CRAN
Permanent link

Package lava updated to version 1.4.8 with previous version 1.4.7 dated 2017-01-27

Title: Latent Variable Models
Description: Estimation and simulation of latent variable models.
Author: Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

Diff between lava versions 1.4.7 dated 2017-01-27 and 1.4.8 dated 2017-03-16

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More information about lava at CRAN
Permanent link

New package FlexDir with initial version 1.0
Package: FlexDir
Version: 1.0
Title: Tools to Work with the Flexible Dirichlet Distribution
Authors@R: c( person(given="Sonia", family="Migliorati",role = "aut"), person(given=c("Agnese","Maria"), family=c("Di","Brisco"), email="agnese.dibrisco@unimib.it", role = c("aut", "cre")), person(given="Matteo", family="Vestrucci", role = "aut") )
Author: Sonia Migliorati [aut], Agnese Maria Di Brisco [aut, cre], Matteo Vestrucci [aut]
Maintainer: Agnese Maria Di Brisco <agnese.dibrisco@unimib.it>
Description: Provides tools to work with the Flexible Dirichlet distribution. The main features are an E-M algorithm for computing the maximum likelihood estimate of the parameter vector and a function based on conditional bootstrap to estimate its asymptotic variance-covariance matrix. It contains also functions to plot graphs, to generate random observations and to handle compositional data.
Depends: R (>= 3.0.0)
Imports: stats, graphics, utils, grDevices
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2015-08-07 08:47:02 UTC; everett
RoxygenNote: 6.0.0
Suggests: testthat
Repository: CRAN
Date/Publication: 2017-03-16 13:35:03

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Package clifro updated to version 3.1-3 with previous version 3.1-2 dated 2017-01-09

Title: Easily Download and Visualise Climate Data from CliFlo
Description: CliFlo is a web portal to the New Zealand National Climate Database and provides public access (via subscription) to around 6,500 various climate stations (see <https://cliflo.niwa.co.nz/> for more information). Collating and manipulating data from CliFlo (hence clifro) and importing into R for further analysis, exploration and visualisation is now straightforward and coherent. The user is required to have an internet connection, and a current CliFlo subscription (free) if data from stations, other than the public Reefton electronic weather station, is sought.
Author: Blake Seers [aut, cre]
Maintainer: Blake Seers <blake.seers@gmail.com>

Diff between clifro versions 3.1-2 dated 2017-01-09 and 3.1-3 dated 2017-03-16

 clifro-3.1-2/clifro/vignettes/cfStation_cache              |only
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 clifro-3.1-3/clifro/inst/doc/cfStation.R                   |   38 +++---
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Package arulesSequences updated to version 0.2-18 with previous version 0.2-17 dated 2017-01-18

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

Diff between arulesSequences versions 0.2-17 dated 2017-01-18 and 0.2-18 dated 2017-03-16

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Package PowerTOST updated to version 1.4-4 with previous version 1.4-3 dated 2016-11-01

Title: Power and Sample Size Based on Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies
Description: Contains functions to calculate power and sample size for various study designs used for bioequivalence studies. See function known.designs() for study designs covered. Moreover the package contains functions for power and sample size based on 'expected' power in case of uncertain (estimated) variability and/or uncertain theta0. ----- Added are functions for the power and sample size for the ratio of two means with normally distributed data on the original scale (based on Fieller's confidence ('fiducial') interval). ----- Contains further functions for power and sample size calculations based on non-inferiority t-test. This is not a TOST procedure but eventually useful if the question of 'non-superiority' must be evaluated. The power and sample size calculations based on non-inferiority test may also performed via 'expected' power in case of uncertain (estimated) variability and/or uncertain theta0. ----- Contains functions power.scABEL() and sampleN.scABEL() to calculate power and sample size for the BE decision via scaled (widened) BE acceptance limits (EMA recommended) based on simulations. Contains also functions scABEL.ad() and sampleN.scABEL.ad() to iteratively adjust alpha in order to maintain the overall consumer risk in ABEL studies and adapt the sample size for the loss in power. Contains further functions power.RSABE() and sampleN.RSABE() to calculate power and sample size for the BE decision via reference scaled ABE criterion according to the FDA procedure based on simulations. Contains further functions power.NTIDFDA() and sampleN.NTIDFDA() to calculate power and sample size for the BE decision via the FDA procedure for NTID's based on simulations. Contains further functions power.HVNTID() and sampleN.HVNTID() to calculate power and sample size for the BE decision via the FDA procedure for highly variable NTID's (see FDA Dabigatran / rivaroxaban guidances) ----- Contains functions for power analysis of a sample size plan for ABE (pa.ABE()), scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA()) analysing power if deviating from assumptions of the plan. ----- Contains further functions for power calculations / sample size estimation for dose proportionality studies using the Power model.
Author: Detlew Labes [aut, cre], Helmut Schuetz [aut], Benjamin Lang [aut]
Maintainer: Detlew Labes <DetlewLabes@gmx.de>

Diff between PowerTOST versions 1.4-3 dated 2016-11-01 and 1.4-4 dated 2017-03-16

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 PowerTOST-1.4-4/PowerTOST/NAMESPACE                                 |    9 
 PowerTOST-1.4-4/PowerTOST/NEWS                                      |   22 
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 PowerTOST-1.4-4/PowerTOST/R/exppower.R                              |    8 
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More information about PowerTOST at CRAN
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Package CARBayesST updated to version 2.5 with previous version 2.4 dated 2016-07-28

Title: Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian or Poisson, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, and full details are given in the vignette accompanying this package and the references in the help files. The creation of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grant EP/J017442/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Author: Duncan Lee, Alastair Rushworth and Gary Napier
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

Diff between CARBayesST versions 2.4 dated 2016-07-28 and 2.5 dated 2017-03-16

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More information about CARBayesST at CRAN
Permanent link

Package survminer updated to version 0.3.0 with previous version 0.2.4 dated 2016-12-11

Title: Drawing Survival Curves using 'ggplot2'
Description: Contains the function 'ggsurvplot()' for drawing easily beautiful and 'ready-to-publish' survival curves with the 'number at risk' table and 'censoring count plot'. Other functions are also available to plot adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions.
Author: Alboukadel Kassambara [aut, cre], Marcin Kosinski [aut], Przemyslaw Biecek [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between survminer versions 0.2.4 dated 2016-12-11 and 0.3.0 dated 2017-03-16

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Package sudokuAlt updated to version 0.1-10 with previous version 0.1-9 dated 2016-12-05

Title: Tools for Making and Spoiling Sudoku Games
Description: Tools for making, retrieving, displaying and solving sudoku games. This package is an alternative to the earlier sudoku-solver package, 'sudoku'. The present package uses a slightly different algorithm, has a simpler coding and presents a few more sugar tools, such as plot and print methods. Solved sudoku games are of some interest in Experimental Design as examples of Latin Square designs with additional balance constraints.
Author: Bill Venables <Bill.Venables@gmail.com>
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between sudokuAlt versions 0.1-9 dated 2016-12-05 and 0.1-10 dated 2017-03-16

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New package rolypoly with initial version 0.1.0
Package: rolypoly
Type: Package
Title: Identifying Trait-Relevant Functional Annotations
Version: 0.1.0
Date: 2017-3-15
Author: Diego Calderon
Maintainer: Diego Calderon <dcal@stanford.edu>
Description: Using enrichment of genome-wide association summary statistics to identify trait-relevant cellular functional annotations.
Depends: R (>= 3.1.3),
Imports: data.table (>= 1.9.6), dplyr (>= 0.4.3), foreach (>= 1.4.3), ggplot2 (>= 1.0.1), glmnet (>= 2.0-5), MASS (>= 7.3-45), Matrix (>= 1.2-6), matrixcalc (>= 1.0-3),
LinkingTo:
Suggests: CompQuadForm (>= 1.4.1), knitr, testthat, rmarkdown
License: GPL-3
VignetteBuilder: knitr
LazyData: TRUE
URL: https://github.com/dcalderon/rolypoly
BugReports: https://github.com/dcalderon/rolypoly/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-16 05:03:47 UTC; dcal
Repository: CRAN
Date/Publication: 2017-03-16 08:44:35

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New package rif with initial version 0.1.0
Package: rif
Title: Client for 'Neuroscience' Information Framework 'APIs'
Description: Client for 'Neuroscience' Information Framework ('NIF') 'APIs' (<https://neuinfo.org/>; <http://nif-services.neuinfo.org/servicesv1/>). Package includes functions for each 'API' route, and gives back data in tidy data.frame format.
Version: 0.1.0
License: MIT + file LICENSE
Authors@R: person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus+r@gmail.com")
URL: https://github.com/ropensci/rif
BugReports: https://github.com/ropensci/rif/issues
VignetteBuilder: knitr
Imports: jsonlite, crul (>= 0.3.0), data.table, tibble
Suggests: roxygen2 (>= 6.0.1), testthat, rmarkdown, knitr, covr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-15 21:02:56 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-16 08:44:30

More information about rif at CRAN
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New package rddensity with initial version 0.1
Package: rddensity
Type: Package
Title: Manipulation Testing Based on Density Discontinuity
Description: Density discontinuity test (a.k.a. manipulation test) is commonly employed in regression discontinuity designs and other treatment effect settings to detect whether there is evidence suggesting perfect self-selection (manipulation) around a cutoff where a treatment/policy assignment changes. This package provides tools for conducting the aforementioned statistical test: rddensity() to construct local polynomial based density discontinuity test given a prespecified cutoff, and rdbwdensity() to perform bandwidth selection.
Version: 0.1
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <xinweima@umich.edu>
Depends: R (>= 3.1.0)
License: GPL-2
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-15 17:42:45 UTC; xinwei
Repository: CRAN
Date/Publication: 2017-03-16 08:44:29

More information about rddensity at CRAN
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Package pavo updated to version 1.0.1 with previous version 1.0.0 dated 2016-12-05

Title: Perceptual Analysis, Visualization and Organization of Spectral Color Data in R
Description: A cohesive framework for parsing, analyzing and organizing color from spectral data.
Author: Rafael Maia [aut, cre], Chad Eliason [aut], Pierre-Paul Bitton [aut], Thomas White [aut]
Maintainer: Rafael Maia <rm72@zips.uakron.edu>

Diff between pavo versions 1.0.0 dated 2016-12-05 and 1.0.1 dated 2017-03-16

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New package MOEADr with initial version 0.2.0
Package: MOEADr
Type: Package
Title: Component-Wise MOEA/D Implementation
Version: 0.2.0
Date: 2017-3-16
Imports: FNN, assertthat, R.utils
Suggests: smoof, testthat, knitr, rmarkdown, irace
Depends: R (>= 3.3.0)
Author: c(person("Felipe", "Campelo", email = "fcampelo@ufmg.br", role = c("aut", "cre"), comment = "Original concept; organization; coding"), person("Lucas", "Batista", email = "lusoba@ufmg.br", role = "com", comment = "Literature review; initial formalization of operators"), person("Claus", "Aranha", email = "caranha@cs.tsukuba.ac.jp", role = "aut", comment = "Coding; testing"))
Maintainer: Felipe Campelo <fcampelo@ufmg.br>
Description: Modular implementation of MOEA/D approaches for multiobjective optimization.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-16 04:06:03 UTC; fcampelo
Repository: CRAN
Date/Publication: 2017-03-16 08:43:58

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Package mixAK updated to version 5.0 with previous version 4.4 dated 2016-10-11

Title: Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering
Description: Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>

Diff between mixAK versions 4.4 dated 2016-10-11 and 5.0 dated 2017-03-16

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 79 files changed, 242 insertions(+), 175 deletions(-)

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Permanent link

Package GWmodel updated to version 2.0-2 with previous version 2.0-1 dated 2016-11-30

Title: Geographically-Weighted Models
Description: In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. GWmodel includes functions to calibrate: GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

Diff between GWmodel versions 2.0-1 dated 2016-11-30 and 2.0-2 dated 2017-03-16

 DESCRIPTION     |    8 +--
 MD5             |   11 ++--
 NAMESPACE       |    3 -
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More information about GWmodel at CRAN
Permanent link

New package fetchR with initial version 2.0-0
Package: fetchR
Type: Package
Title: Calculate Wind Fetch in R
Version: 2.0-0
Date: 2017-03-16
Authors@R: person("Blake", "Seers", role = c("aut", "cre"), email = "blake.seers@gmail.com")
Imports: rgdal, sp, methods, rgeos, plotKML
Suggests: knitr, ggplot2, maps, rmarkdown
URL: https://github.com/blasee/fetchR
BugReports: https://github.com/blasee/fetchR/issues
Description: Wind fetch is the unobstructed length of water over which wind can blow from a certain direction. Averaging the wind fetch for numerous directions at the same location is therefore a reasonable measure of the overall wind exposure for a specific marine location. However, this process of calculating wind fetch can be extremely time-consuming and tedious, particularly if a large number of fetch vectors are required at many locations. The fetchR package calculates wind fetch with ease and summarises the information efficiently. There are also plot methods to help visualise the wind exposure at the various locations, and methods to output the fetch vectors to a KML file for further investigation.
License: GPL-2
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-16 03:16:48 UTC; blake
Author: Blake Seers [aut, cre]
Maintainer: Blake Seers <blake.seers@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-16 08:44:13

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Package eurostat updated to version 3.1.1 with previous version 2.2.43 dated 2017-02-21

Title: Tools for Eurostat Open Data
Description: Tools to download data from the Eurostat database <http://ec.europa.eu/eurostat> together with search and manipulation utilities.
Author: Leo Lahti [aut, cre], Przemyslaw Biecek [aut], Markus Kainu [aut], Janne Huovari [aut], Joona Lehtomaki [ctb], Francois Briatte [ctb], Oliver Reiter [ctb]
Maintainer: Leo Lahti <leo.lahti@iki.fi>

Diff between eurostat versions 2.2.43 dated 2017-02-21 and 3.1.1 dated 2017-03-16

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Package english updated to version 1.1-2 with previous version 1.1-1 dated 2017-01-31

Title: Translate Integers into English
Description: Allow numbers to be presented in an English language version, one, two, three, ...
Author: John Fox, Bill Venables and Anthony Damico
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between english versions 1.1-1 dated 2017-01-31 and 1.1-2 dated 2017-03-16

 DESCRIPTION            |    8 ++++----
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 6 files changed, 20 insertions(+), 13 deletions(-)

More information about english at CRAN
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New package DisHet with initial version 0.1.0
Package: DisHet
Type: Package
Title: Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor Samples
Version: 0.1.0
Date: 2017-3-6
Author: Tao Wang
Maintainer: Tao Wang <tao.wang@utsouthwestern.edu>
Depends: R (>= 2.15.0), gtools, matrixStats
Description: Model cell type heterogeneity of bulk renal cell carcinoma. The observed gene expression in bulk tumor sample is modeled by a log-normal distribution with the location parameter structured as a linear combination of the component-specific gene expressions.
License: GPL-2
NeedsCompilation: no
Packaged: 2017-03-15 15:36:18 UTC; s168319
Repository: CRAN
Date/Publication: 2017-03-16 08:43:54

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New package CNull with initial version 1.0
Package: CNull
Type: Package
Title: Fast Algorithms for Frequency-Preserving Null Models in Ecology
Version: 1.0
Date: 2017-3-14
Authors@R: c(person("Constantinos", "Tsirogiannis", role = c("aut", "cre"), email = "tsirogiannis.c@gmail.com"), person("Adrija", "Kalvisa", role = "aut"))
Author: Constantinos Tsirogiannis [aut, cre], Adrija Kalvisa [aut]
Maintainer: Constantinos Tsirogiannis <tsirogiannis.c@gmail.com>
Description: Efficient computations for null models that require shuffling columns on big matrix data. This package provides functions for faster computation of diversity measure statistics when independent random shuffling is applied to the columns of a given matrix. Given a diversity measure f and a matrix M, the provided functions can generate random samples (shuffled matrix rows of M), the mean and variance of f, and the p-values of this measure for two different null models that involve independent random shuffling of the columns of M. The package supports computations of alpha and beta diversity measures.
License: GPL-3
Imports: Rcpp (>= 0.12.9), ape, PhyloMeasures, Matrix
LinkingTo: Rcpp
LazyLoad: yes
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2017-03-15 15:07:39 UTC; constant
Repository: CRAN
Date/Publication: 2017-03-16 08:43:52

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New package cir with initial version 2.0.0
Package: cir
Type: Package
Title: Centered Isotonic Regression and Dose-Response Utilities
Version: 2.0.0
Date: 2017-03-15
Description: Isotonic regression (IR), as well as a great small-sample improvement to IR called CIR, interval estimates for both, and additional utilities.
License: GPL-2
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@seattlechildrens.org>
Authors@R: person('Assaf P.','Oron', role=c('cre','aut'), email='assaf.oron@seattlechildrens.org')
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-15 15:50:11 UTC; aoron
Repository: CRAN
Date/Publication: 2017-03-16 08:44:02

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New package BLPestimatoR with initial version 0.1.2
Package: BLPestimatoR
Type: Package
Title: Performs a BLP Demand Estimation
Version: 0.1.2
Author: Daniel Brunner (aut), Constantin Weiser (ctr), Andre Romahn (ctr)
Maintainer: Daniel Brunner <daniel.brunner@hhu.de>
Description: Provides the estimation algorithm to perform the demand estimation described in Berry, Levinsohn and Pakes (1995) <DOI:10.2307/2171802> . The routine uses analytic gradients and offers a large number of implemented integration methods and optimization routines.
License: GPL-3
LazyData: TRUE
Depends: Rcpp (>= 0.12.7), mvQuad, ucminf, numDeriv, randtoolbox
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-03-15 15:21:57 UTC; brunned
Repository: CRAN
Date/Publication: 2017-03-16 08:43:44

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New package BioInstaller with initial version 0.0.1
Package: BioInstaller
Title: Lightweight Biology Software Installer
Version: 0.0.1
Authors@R: person("Jianfeng", "Li", email = "lee_jianfeng@sjtu.edu.cn", role = c("aut", "cre"))
Description: Install and download massive bioinformatics analysis software and database, such as NGS analysis tools with its required database or/and reference genome, is still a complicated task. BioInstaller can be used to install that tools and database in R conveniently.
Depends: R (>= 3.3.0)
URL: https://github.com/Miachol/BioInstaller
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stringr (>= 1.2.0), futile.logger (>= 1.4.1), configr (>= 0.2.0), git2r (>= 0.0.3), R.utils (>= 2.5.0), RCurl (>= 1.95-4.8)
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2017-03-15 18:14:13 UTC; ljf
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2017-03-16 08:43:47

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