Wed, 26 Sep 2018

Package rdrobust updated to version 0.99.4 with previous version 0.99.3 dated 2018-07-12

Title: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs
Description: Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
Author: Sebastian Calonico <scalonico@bus.miami.edu>, Matias D. Cattaneo <cattaneo@umich.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>, Rocio Titiunik <titiunik@umich.edu>
Maintainer: Sebastian Calonico <scalonico@bus.miami.edu>

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Package neotoma updated to version 1.7.2 with previous version 1.7.0 dated 2017-06-21

Title: Access to the Neotoma Paleoecological Database Through R
Description: Access paleoecological datasets from the Neotoma Paleoecological Database using the published API (<http://api.neotomadb.org/>). The functions in this package access various pre-built API functions and attempt to return the results from Neotoma in a usable format for researchers and the public.
Author: Simon J. Goring [aut, cre], Gavin L. Simpson [aut], Jeremiah P. Marsicek [ctb], Karthik Ram [aut], Luke Sosalla [ctb]
Maintainer: Simon J. Goring <goring@wisc.edu>

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Package nonmem2R updated to version 0.1.10 with previous version 0.1.9 dated 2018-04-05

Title: Loading NONMEM Output Files and Simulate with Parameter Uncertainty
Description: Loading NONMEM (NONlinear Mixed-Effect Modeling, <http://www.iconplc.com/innovation/solutions/nonmem/> ) output files and simulate with parameter uncertainty.
Author: Magnus Astrand
Maintainer: Magnus Astrand <magnus.astrand@astrazeneca.com>

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Package bdvis updated to version 0.2.22 with previous version 0.2.20 dated 2018-02-12

Title: Biodiversity Data Visualizations
Description: Provides a set of functions to create basic visualizations to quickly preview different aspects of biodiversity information such as inventory completeness, extent of coverage (taxonomic, temporal and geographic), gaps and biases.
Author: Vijay Barve <vijay.barve@gmail.com>, Javier Otegui <javier.otegui@gmail.com>
Maintainer: Vijay Barve <vijay.barve@gmail.com>

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Package adjclust updated to version 0.5.7 with previous version 0.5.6 dated 2018-02-08

Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description: Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Chapter 4 of Alia Dehman (2015) <https://hal.archives-ouvertes.fr/tel-01288568v1>.
Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Michel Koskas [aut], Pierre Neuvial [aut, cre], Guillem Rigaill [aut], Nathalie Vialaneix [aut]
Maintainer: Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr>

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Package movMF updated to version 0.2-4 with previous version 0.2-3 dated 2018-09-10

Title: Mixtures of von Mises-Fisher Distributions
Description: Fit and simulate mixtures of von Mises-Fisher distributions.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Bettina GrĂ¼n [aut] (<https://orcid.org/0000-0001-7265-4773>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package mdsstat updated to version 0.2.0 with previous version 0.1.0 dated 2018-06-10

Title: Statistical Trending for Medical Devices Surveillance
Description: A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.
Author: Gary Chung [aut, cre]
Maintainer: Gary Chung <gchung05@gmail.com>

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Package mds updated to version 0.2.0 with previous version 0.1.0 dated 2018-04-27

Title: Medical Devices Surveillance
Description: A set of core functions for handling medical device event data in the context of post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are data on events by device and data on exposures by device. Outputs include: standardized device-event and exposure datasets, defined analyses, and time series.
Author: Gary Chung [aut, cre]
Maintainer: Gary Chung <gchung05@gmail.com>

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Package CRM updated to version 1.2.4 with previous version 1.1.1 dated 2012-03-01

Title: Continual Reassessment Method (CRM) for Phase I Clinical Trials
Description: Functions for phase I clinical trials using the continual reassessment method.
Author: Qianxing Mo
Maintainer: Qianxing Mo <qianxing.mo@moffitt.org>

Diff between CRM versions 1.1.1 dated 2012-03-01 and 1.2.4 dated 2018-09-26

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Package arrangements updated to version 1.1.4 with previous version 1.1.3 dated 2018-09-16

Title: Fast Generators and Iterators for Permutations, Combinations and Partitions
Description: Fast generators and iterators for permutations, combinations and partitions. The iterators allow users to generate arrangements in a memory efficient manner and the generated arrangements are in lexicographical (dictionary) order. Permutations and combinations can be drawn with/without replacement and support multisets. It has been demonstrated that 'arrangements' outperforms most of the existing packages of similar kind. Some benchmarks could be found at <https://randy3k.github.io/arrangements/articles/benchmark.html>.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package PReMiuM updated to version 3.2.1 with previous version 3.2.0 dated 2018-06-15

Title: Dirichlet Process Bayesian Clustering, Profile Regression
Description: Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as well as Normal and discrete covariates. It also allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection. The main reference for the package is Liverani, Hastie, Azizi, Papathomas and Richardson (2015) <doi:10.18637/jss.v064.i07>.
Author: David I. Hastie, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi, Xi Liu, Ruizhu Huang, Austin Gratton, Wei Jing
Maintainer: Silvia Liverani <liveranis@gmail.com>

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Package mrfDepth updated to version 1.0.9 with previous version 1.0.8 dated 2018-07-07

Title: Depth Measures in Multivariate, Regression and Functional Settings
Description: Tools to compute depth measures and implementations of related tasks such as outlier detection, data exploration and classification of multivariate, regression and functional data.
Author: Pieter Segaert [aut], Mia Hubert [aut], Peter Rousseeuw [aut], Jakob Raymaekers [aut, cre], Kaveh Vakili [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

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Package MEPDF updated to version 3.0 with previous version 2.0 dated 2018-07-31

Title: Creation of Empirical Density Functions Based on Multivariate Data
Description: Based on the input data an n-dimensional cube with sub cells of user specified side length is created. The number of sample points which fall in each sub cube is counted, and with the cell volume and overall sample size an empirical probability can be computed. A number of cubes of higher resolution can be superimposed. The basic method stems from J.L. Bentley in "Multidimensional Divide and Conquer". J. L. Bentley (1980) <doi:10.1145/358841.358850>. Furthermore a simple kernel density estimation method is made available, as well as an expansion of Bentleys method, which offers a kernel approach for the grid method.
Author: Martin Wiegand, Saralees Nadarajah
Maintainer: Martin Wiegand <Martin.Wiegand@manchester.ac.uk>

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New package LncPath with initial version 1.1
Package: LncPath
Type: Package
Title: Identifying the Pathways Regulated by LncRNA Sets of Interest
Version: 1.1
Date: 2018-09-26
Author: Junwei Han, Zeguo Sun
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: Identifies pathways synergisticly regulated by the interested lncRNA(long non-coding RNA) sets based on a lncRNA-mRNA(messenger RNA) interaction network. 1) The lncRNA-mRNA interaction network was built from the protein-protein interactions and the lncRNA-mRNA co-expression relationships in 28 RNA-Seq data sets. 2) The interested lncRNAs can be mapped into networks as seed nodes and a random walk strategy will be performed to evaluate the rate of each coding genes influenced by the seed lncRNAs. 3) Pathways regulated by the lncRNA set will be evaluated by a weighted Kolmogorov-Smirnov statistic as an ES Score. 4) The p value and false discovery rate value will also be calculated through a permutation analysis. 5) The running score of each pathway can be plotted and the heat map of each pathway can also be plotted if an expression profile is provided. 6) The rank and scores of the gene list of each pathway can be printed.
Imports: stats, graphics, utils, grDevices
Depends: R (>= 3.2.1), igraph
Suggests: Matrix,graph
License: GPL (>= 2)
LazyData: Yes
NeedsCompilation: no
Packaged: 2018-09-26 06:47:17 UTC; liu
Repository: CRAN
Date/Publication: 2018-09-26 14:20:06 UTC

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Package GSED updated to version 1.9 with previous version 1.8 dated 2018-08-22

Title: Group Sequential Enrichment Design
Description: Provides function to apply "Group sequential enrichment design incorporating subgroup selection" (GSED) method proposed by Magnusson and Turnbull (2013) <doi:10.1002/sim.5738>.
Author: Marie-Karelle Riviere
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

Diff between GSED versions 1.8 dated 2018-08-22 and 1.9 dated 2018-09-26

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Package FishResp updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-24

Title: Analytical Tool for Aquatic Respirometry
Description: Calculates metabolic rate of fish and other aquatic organisms measured using an intermittent-flow respirometry approach. The tool is used to run a set of graphical QC tests of raw respirometry data, correct it for background respiration and chamber effect, filter and extract target values of absolute and mass-specific metabolic rate. Experimental design should include background respiration tests and measuring of one or more metabolic rate traits. The package allows a user to import raw respirometry data obtained from 'AquaResp' (free software), 'AutoResp' ('LoligoSystems'), 'OxyView' ('PreSens'), 'Pyro Oxygen Logger' ('PyroScience') and 'Q-box Aqua' ('QubitSystems').
Author: Sergey Morozov [aut, cre], R.J. Scott McCairns [aut, ths], Federico Calboli [ctb], Juha Merila [ths], Stephen White [dtc], Daniel Montgomery [dtc], Laura Almodovar-Acevedo [dtc], Niclas Kolm [dtc], Alexander Kotrschal [dtc]
Maintainer: Sergey Morozov <sergey.morozov@helsinki.fi>

Diff between FishResp versions 1.0.0 dated 2018-09-24 and 1.0.1 dated 2018-09-26

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Package BuyseTest updated to version 1.5.0 with previous version 1.3.2 dated 2018-05-29

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons. This test enables to compare two groups of observations in randomized trials(e.g treated vs. control patients) on several prioritized outcomes. Pairwise comparisons require consideration of all possible pairs of individuals, one taken from the treatment group and the other taken from the control group. The outcomes of the two individuals forming a pair are compared. Thresholds of minimal clinically significant differences can be defined. It is possible to analyze simultaneously several outcomes by prioritizing the variables that capture them. The highest priority is assigned to the variable considered the most clinically relevant. A natural way of handling uninformative or neutral pairs is to consider the outcomes in descending order of priority: whenever a pair is uninformative or neutral for an outcome of higher priority, the outcomes of lower priority are examined In the case of time-to-event endpoint, four methods to handle censored observations are available in this package (Gehan, Peto, Efron, and Peron).
Author: Brice Ozenne [aut, cre] (<https://orcid.org/0000-0001-9694-2956>), Julien Peron [aut]
Maintainer: Brice Ozenne <brice.ozenne@orange.fr>

Diff between BuyseTest versions 1.3.2 dated 2018-05-29 and 1.5.0 dated 2018-09-26

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 BuyseTest-1.5.0/BuyseTest/src/FCT_buyseTest.cpp                         |  310 +--
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 60 files changed, 2970 insertions(+), 2705 deletions(-)

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Package dcmr (with last version 1.0) was removed from CRAN

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

2014-07-26 1.0

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Package rcdk updated to version 3.4.7.1 with previous version 3.4.7 dated 2018-04-30

Title: Interface to the 'CDK' Libraries
Description: Allows the user to access functionality in the 'CDK', a Java framework for chemoinformatics. This allows the user to load molecules, evaluate fingerprints, calculate molecular descriptors and so on. In addition, the 'CDK' API allows the user to view structures in 2D.
Author: Rajarshi Guha [aut, cph], Zachary Charlop-Powers [cre], Emma Schymanski [ctb]
Maintainer: ORPHANED

Diff between rcdk versions 3.4.7 dated 2018-04-30 and 3.4.7.1 dated 2018-09-26

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 3 files changed, 19 insertions(+), 11 deletions(-)

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Package TimeMachine (with last version 1.2.1) was removed from CRAN

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

2018-09-11 1.2.1
2014-01-13 1.2
2013-08-29 1.1

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