Sun, 01 Apr 2018

Package sequoia updated to version 1.0.2 with previous version 1.0.0 dated 2018-03-29

Title: Pedigree Inference from SNPs
Description: Fast multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See citation('sequoia') for more information.
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>

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Package PReMiuM updated to version 3.1.7 with previous version 3.1.6 dated 2017-11-02

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
Maintainer: Silvia Liverani <liveranis@gmail.com>

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Package ICSShiny updated to version 0.5 with previous version 0.4 dated 2017-11-16

Title: ICS via a Shiny Application
Description: Performs Invariant Coordinate Selection (ICS) (Tyler, Critchley, Duembgen and Oja (2009) <doi:10.1111/j.1467-9868.2009.00706.x>) and especially ICS for multivariate outlier detection with application to quality control (Archimbaud, Nordhausen, Ruiz-Gazen (2016) <arXiv:1612.06118>) using a shiny app.
Author: Aurore Archimbaud, Joris May, Klaus Nordhausen, Anne Ruiz-Gazen
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>

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Package denseFLMM updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-17

Title: Functional Linear Mixed Models for Densely Sampled Data
Description: Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.
Author: Sonja Greven, Jona Cederbaum
Maintainer: Jona Cederbaum <Jona.Cederbaum@gmail.com>

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Package cluster updated to version 2.0.7 with previous version 2.0.6 dated 2017-03-16

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], Kamil Kozlowski [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package gb updated to version 2.3.3 with previous version 1.1.8-8 dated 2013-08-08

Title: Generalize Lambda Distribution and Generalized Bootstrapping
Description: A collection of algorithms and functions for fitting data to a generalized lambda distribution via moment matching methods, and generalized bootstrapping.
Author: Bin Wang <bwang@southalabama.edu>.
Maintainer: Bin Wang <bwang@southalabama.edu>

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Package tsibble updated to version 0.1.5 with previous version 0.1.3 dated 2018-02-20

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') to store and manage temporal-context data in a data-centric format, which is built on top of the 'tibble'. The 'tsibble' aims at manipulating and analysing temporal data in a tidy and modern manner, including easily interpolate missing values, aggregate over calendar periods, performing rolling window calculations, and etc.
Author: Earo Wang [aut, cre], Di Cook [aut, ths], Rob Hyndman [aut, ths]
Maintainer: Earo Wang <earo.wang@gmail.com>

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Package rGroovy updated to version 1.3 with previous version 1.2 dated 2018-01-16

Title: Groovy Language Integration
Description: Integrates the Groovy scripting language with the R Project for Statistical Computing.
Author: Thomas P. Fuller <thomas.fuller@coherentlogic.com>
Maintainer: Thomas P. Fuller <thomas.fuller@coherentlogic.com>

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Package geecure updated to version 1.0-6 with previous version 1.0-2 dated 2017-11-27

Title: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations
Description: Features the marginal parametric and semi-parametric proportional hazards mixture cure models for analyzing clustered survival data with a possible cure fraction. A reference is Yi Niu and Yingwei Peng (2014) <doi:10.1016/j.jmva.2013.09.003>.
Author: Yi Niu [aut, cre], Hui Song [ctb], Xiaoguang Wang [ctb], Yingwei Peng [aut, ctb]
Maintainer: Yi Niu <niuyi@dlut.edu.cn>

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Package sparseFLMM updated to version 0.2.2 with previous version 0.2.0 dated 2017-09-23

Title: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data
Description: Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.
Author: Jona Cederbaum
Maintainer: Jona Cederbaum <Jona.Cederbaum@gmail.com>

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Package JuliaCall updated to version 0.12.2 with previous version 0.12.1 dated 2018-02-24

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer: Changcheng Li <cxl508@psu.edu>

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Package emmeans updated to version 1.1.3 with previous version 1.1.2 dated 2018-02-24

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and compact letter displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell Lenth [aut, cre, cph], Jonathon Love [ctb], Maxime Herve [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

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Package deldir updated to version 0.1-15 with previous version 0.1-14 dated 2017-04-22

Title: Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
Description: Calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. Plots triangulations and tessellations in various ways. Clips tessellations to sub-windows. Calculates perimeters of tessellations. Summarises information about the tiles of the tessellation.
Author: Rolf Turner
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>

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Package cholera updated to version 0.4.0 with previous version 0.3.0 dated 2018-01-26

Title: Amend, Augment and Aid Analysis of John Snow's Cholera Data
Description: Amends errors, augments data and aids analysis of John Snow's map of the 1854 London cholera outbreak.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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Package dggridR (with last version 2.0.1) was removed from CRAN

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

2017-08-07 2.0.1
2017-04-24 1.0.1
2016-09-18 0.1.11
2016-08-16 0.1.10
2016-07-27 0.1.8
2016-07-23 0.1.7
2016-07-20 0.1.5

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Package TDA (with last version 1.6) was removed from CRAN

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

2017-12-09 1.6
2017-04-27 1.5.1
2016-06-16 1.5
2015-09-18 1.4.1
2015-09-15 1.4
2014-12-22 1.3
2014-10-14 1.2
2014-08-20 1.1
2014-08-19 1.0

Permanent link
Package RNOmni updated to version 0.2.0 with previous version 0.1.5 dated 2018-02-12

Title: Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation
Description: Implementation of genetic association tests that utilize the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two complementary INT-based approaches. In simulations against phenotypes with skewed and heavy tailed residual distributions, the omnibus test provided valid inference in the absence of a genotypic effect, and provided power comparable to the more powerful of the component methods in the presence of a genotypic effect. Under these settings, standard linear regression often failed to control the type I error.
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@g.harvard.edu>

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Package metaplus updated to version 0.7-11 with previous version 0.7-10 dated 2018-03-08

Title: Robust Meta-Analysis and Meta-Regression
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Author: Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut]
Maintainer: Ken Beath <ken.beath@mq.edu.au>

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Permanent link


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