Mon, 26 Mar 2018

Package ssc updated to version 2.0.0 with previous version 1.0 dated 2016-10-05

Title: Semi-Supervised Classification Methods
Description: Provides a collection of self-labeled techniques for semi-supervised classification. In semi-supervised classification, both labeled and unlabeled data are used to train a classifier. This learning paradigm has obtained promising results, specifically in the presence of a reduced set of labeled examples. This package implements a collection of self-labeled techniques to construct a classification model. This family of techniques enlarges the original labeled set using the most confident predictions to classify unlabeled data. The techniques implemented can be applied to classification problems in several domains by the specification of a supervised base classifier. At low ratios of labeled data, it can be shown to perform better than classical supervised classifiers.
Author: Mabel González [aut] (<https://orcid.org/0000-0003-0152-444X>), Osmani Rosado-Falcón [aut] (<https://orcid.org/0000-0002-2639-3354>), José Daniel Rodríguez [aut] (<https://orcid.org/0000-0002-8489-4106>), Christoph Bergmeir [ths, cre] (<https://orcid.org/0000-0002-3665-9021>), Isaac Triguero [ctb] (<https://orcid.org/0000-0002-0150-0651>), José Manuel Benítez [ths] (<https://orcid.org/0000-0002-2346-0793>)
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

Diff between ssc versions 1.0 dated 2016-10-05 and 2.0.0 dated 2018-03-26

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Package PWEALL updated to version 1.2.1 with previous version 1.2.0 dated 2017-10-01

Title: Design and Monitoring of Survival Trials Accounting for Complex Situations
Description: Calculates various functions needed for design and monitoring survival trials accounting for complex situations such as delayed treatment effect, treatment crossover, non-uniform accrual, and different censoring distributions between groups. The event time distribution is assumed to be piecewise exponential (PWE) distribution and the entry time is assumed to be piecewise uniform distribution. As compared with Version 1.1.0, this version includes the calculation of the restricted mean survival time and weighted log-rank statistics.
Author: Xiaodong Luo [aut, cre], Xuezhou Mao [ctb], Xun Chen [ctb], Hui Quan [ctb], Sanofi [cph]
Maintainer: Xiaodong Luo <Xiaodong.Luo@sanofi.com>

Diff between PWEALL versions 1.2.0 dated 2017-10-01 and 1.2.1 dated 2018-03-26

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Package constellation updated to version 0.2.0 with previous version 0.1.0 dated 2017-11-30

Title: Identify Event Sequences Using Time Series Joins
Description: Examine any number of time series data frames to identify instances in which various criteria are met within specified time frames. In clinical medicine, these types of events are often called "constellations of signs and symptoms", because a single condition depends on a series of events occurring within a certain amount of time of each other. This package was written to work with any number of time series data frames and is optimized for speed to work well with data frames with millions of rows.
Author: Mark Sendak [aut, cre]
Maintainer: Mark Sendak <mark.sendak@gmail.com>

Diff between constellation versions 0.1.0 dated 2017-11-30 and 0.2.0 dated 2018-03-26

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Package Bolstad updated to version 0.2-38 with previous version 0.2-37 dated 2018-02-23

Title: Functions for Elementary Bayesian Inference
Description: A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2017), John Wiley & Sons ISBN 978-1-118-09156-2.
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

Diff between Bolstad versions 0.2-37 dated 2018-02-23 and 0.2-38 dated 2018-03-26

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Package sparseMVN updated to version 0.2.1.1 with previous version 0.2.1 dated 2017-05-24

Title: Multivariate Normal Functions for Sparse Covariance and Precision Matrices
Description: Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

Diff between sparseMVN versions 0.2.1 dated 2017-05-24 and 0.2.1.1 dated 2018-03-26

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Package Rdpack updated to version 0.7-0 with previous version 0.5-5 dated 2018-02-14

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of Rd objects, including function reprompt() for updating existing Rd documentation for functions, methods and classes; function rebib() for import of references from 'bibtex' files; a macro for importing 'bibtex' references which can be used in Rd files and 'roxygen2' comments; and other convenience functions for references.
Author: Georgi N. Boshnakov [aut, cre], Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between Rdpack versions 0.5-5 dated 2018-02-14 and 0.7-0 dated 2018-03-26

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Package GCD updated to version 4.0.1 with previous version 4.0.0 dated 2018-03-01

Title: Global Charcoal Database
Description: Contains the Global Charcoal database data. Data include charcoal series (age, depth, charcoal quantity, associated units and methods) and information on sedimentary sites (localisation, depositional environment, biome, etc.) as well as publications informations. Since 4.0.0 the GCD mirrors the online SQL database at <http://paleofire.org>.
Author: Global Paleofire Working Group <paleofire@univ-fcomte.fr>
Maintainer: Olivier Blarquez <blarquez@gmail.com>

Diff between GCD versions 4.0.0 dated 2018-03-01 and 4.0.1 dated 2018-03-26

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Package DLMtool updated to version 5.1.3 with previous version 5.1.2 dated 2018-03-21

Title: Data-Limited Methods Toolkit
Description: Development, simulation testing, and implementation of management procedures for data-limited fisheries (see Carruthers et al (2014) <doi:10.1016/j.fishres.2013.12.014>).
Author: Tom Carruthers [aut, cre], Adrian Hordyk [aut], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Tom Carruthers <t.carruthers@fisheries.ubc.ca>

Diff between DLMtool versions 5.1.2 dated 2018-03-21 and 5.1.3 dated 2018-03-26

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Package coneproj updated to version 1.13 with previous version 1.12 dated 2017-09-19

Title: Primal or Dual Cone Projections with Routines for Constrained Regression
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>

Diff between coneproj versions 1.12 dated 2017-09-19 and 1.13 dated 2018-03-26

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Package checkr updated to version 0.2.0 with previous version 0.1.0 dated 2018-03-02

Title: Check the Properties of Common R Objects
Description: Expressive assertive pipe-friendly, dependency-free functions to check the properties of common R objects. In the case of failure the functions issue informative error messages that (hopefully!) allow users to quickly identify and fix any problems. The functions are designed to be used in scripts and packages.
Author: Joe Thorley [aut, cre]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between checkr versions 0.1.0 dated 2018-03-02 and 0.2.0 dated 2018-03-26

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Package BVSNLP updated to version 1.1.0 with previous version 0.9.10 dated 2018-02-07

Title: Bayesian Variable Selection in High Dimensional Settings using Nonlocal Priors
Description: Variable/Feature selection in high or ultra-high dimensional settings has gained a lot of attention recently specially in cancer genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits mixture of point masses at zero and nonlocal priors to improve the performance of variable selection and coefficient estimation. product moment (pMOM) and product inverse moment (piMOM) nonlocal priors are implemented and can be used for the analyses. This package performs variable selection for binary response and survival time response datasets which are widely used in biostatistic and bioinformatics community. Benefiting from parallel computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median Probability Model (MPM) and posterior inclusion probability for each of the covariates in the model. The option to use Bayesian Model Averaging (BMA) is also part of this package that can be exploited for predictive power measurements in real datasets.
Author: Amir Nikooienejad [aut, cre], Valen E. Johnson [ths]
Maintainer: Amir Nikooienejad <amir@stat.tamu.edu>

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Package quotedargs updated to version 0.1.2 with previous version 0.1.1 dated 2018-01-08

Title: A Way of Writing Functions that Quote their Arguments
Description: A facility for writing functions that quote their arguments, may sometimes evaluate them in the environment where they were quoted, and may pass them as quoted to other functions.
Author: Radford Neal
Maintainer: Radford Neal <radfordneal@gmail.com>

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Package tidyxl updated to version 1.0.1 with previous version 1.0.0 dated 2017-11-25

Title: Read Untidy Excel Files
Description: Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded 'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Does not support '.xlsb' or '.xls'.
Author: Duncan Garmonsway [aut, cre], Hadley Wickham [ctb] (Author of included readxl fragments), Jenny Bryan [ctb] (Author of included readxl fragments), RStudio [cph] (Copyright holder of included readxl fragments), Marcin Kalicinski [ctb, cph] (Author of included RapidXML code)
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>

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Package ri2 updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-31

Title: Randomization Inference for Randomized Experiments
Description: Randomization inference procedures for simple and complex randomized designs, including multi-armed trials, as described in Gerber and Green (2012, ISBN: 978-0393979954). Users formally describe their randomization procedure and test statistic. The randomization distribution of the test statistic under some null hypothesis is efficiently simulated.
Author: Alexander Coppock [aut, cre]
Maintainer: Alexander Coppock <acoppock@gmail.com>

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Package gjam updated to version 2.2.0 with previous version 2.1.9 dated 2018-02-27

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

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Package sentometrics updated to version 0.3.5 with previous version 0.3 dated 2018-03-18

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. (2017) <https://ssrn.com/abstract=3067734>.
Author: David Ardia [aut], Keven Bluteau [aut], Samuel Borms [aut, cre], Kris Boudt [aut]
Maintainer: Samuel Borms <samuel.borms@unine.ch>

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Package FateID updated to version 0.1.1 with previous version 0.0.9 dated 2017-11-15

Title: Quantification of Fate Bias in Multipotent Progenitors
Description: Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2017) <doi:10.1101/218115>.
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>

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Package skpr updated to version 0.47.5 with previous version 0.45.2 dated 2018-01-22

Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible.
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package PwrGSD updated to version 2.3 with previous version 2.2 dated 2018-02-09

Title: Power in a Group Sequential Design
Description: Tools for the evaluation of interim analysis plans for sequentially monitored trials on a survival endpoint; tools to construct efficacy and futility boundaries, for deriving power of a sequential design at a specified alternative, template for evaluating the performance of candidate plans at a set of time varying alternatives.
Author: Grant Izmirlian
Maintainer: Grant Izmirlian <izmirlig@mail.nih.gov>

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Package rinform updated to version 1.0.2 with previous version 1.0.1 dated 2018-03-17

Title: An R Wrapper of the 'Inform' C Library for Information Analysis of Complex Systems
Description: An R wrapper of the 'Inform' v1.0.0 C library for performing information analysis of complex systems. As for the 'Inform' library, 'rinform' is structured around the concepts of: 1) discrete empirical probability distributions which form the basis for all of the information-theoretic measures; 2) classic information-theoretic measures built upon empirical distributions (e.g., Shannon entropy, mutual information, cross entropy); and 3) advanced measures of information dynamics for time series (e.g., transfer entropy, active information, evidence of integration). In addition to the core components, 'rinform' also provides a collection of utilities to manipulate time series (e.g., binning of continuous values, black-boxing of time series).
Author: Gabriele Valentini [aut, cre, cph], Douglas G. Moore [ctb, cph]
Maintainer: Gabriele Valentini <gvalent3@asu.edu>

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Package rcompanion updated to version 1.13.0 with previous version 1.11.3 dated 2018-02-19

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support "Summary and Analysis of Extension Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

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Package accelmissing updated to version 1.2 with previous version 1.1 dated 2016-07-05

Title: Missing Value Imputation for Accelerometer Data
Description: Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
Author: Jung Ae Lee <julee@uark.edu>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>

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Package ramps updated to version 0.6-15 with previous version 0.6-14 dated 2016-06-29

Title: Bayesian Geostatistical Modeling with RAMPS
Description: Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples. Package performance is tuned for large spatial datasets.
Author: Brian J Smith [aut, cre], Jun Yan [aut], Mary Kathryn Cowles [aut]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between ramps versions 0.6-14 dated 2016-06-29 and 0.6-15 dated 2018-03-26

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Package ballr updated to version 0.2.0 with previous version 0.1.1 dated 2017-11-27

Title: Access to Current and Historical Basketball Data
Description: Provides simple functions for accessing data/tables on <http://www.basketball-reference.com>.
Author: Ryan Elmore [cre, aut], Peter DeWitt [ctb]
Maintainer: Ryan Elmore <rtelmore@gmail.com>

Diff between ballr versions 0.1.1 dated 2017-11-27 and 0.2.0 dated 2018-03-26

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Package antitrust updated to version 0.99.5 with previous version 0.99 dated 2018-03-08

Title: Tools for Antitrust Practitioners
Description: A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of mergers under different competitive regimes.
Author: Charles Taragin and Michael Sandfort
Maintainer: Charles Taragin <charles.taragin@usdoj.gov>

Diff between antitrust versions 0.99 dated 2018-03-08 and 0.99.5 dated 2018-03-26

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Permanent link

Package manipulateWidget updated to version 0.9.0 with previous version 0.8.0 dated 2017-12-07

Title: Add Even More Interactivity to Interactive Charts
Description: Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], RTE [cph], JJ Allaire [ctb], Marion Praz [ctb] (New user interface), Benoit Thieurmel [ctb], Titouan Robert [ctb], Duncan Murdoch [ctb]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

Diff between manipulateWidget versions 0.8.0 dated 2017-12-07 and 0.9.0 dated 2018-03-26

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Package kmeans.ddR (with last version 0.1.0) was removed from CRAN

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

2015-11-05 0.1.0

Permanent link
Package simTool updated to version 1.1.0 with previous version 1.0.3 dated 2014-10-25

Title: Conduct Simulation Studies with a Minimal Amount of Source Code
Description: The simTool package is designed for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the simTool package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with the simTool package. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.
Author: Marsel Scheer [aut, cre]
Maintainer: Marsel Scheer <scheer@freescience.de>

Diff between simTool versions 1.0.3 dated 2014-10-25 and 1.1.0 dated 2018-03-26

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Permanent link

Package sglOptim (with last version 1.3.6) was removed from CRAN

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

2017-04-02 1.3.6
2016-12-28 1.3.5
2016-09-28 1.3.0
2016-09-10 1.2.2
2015-09-19 1.2.0
2014-11-04 1.0.122.1
2014-03-24 1.0.122.0
2014-03-10 0.0.105
2014-03-05 0.0.100
2014-02-23 0.0.91
2014-02-22 0.0.90
2014-02-19 0.0.82
2014-01-24 0.0.81
2013-12-08 0.0.80

Permanent link
Package Coxnet (with last version 0.2) was removed from CRAN

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

2015-12-09 0.2
2015-03-22 0.1-1
2015-03-17 0.1

Permanent link
Package nettools (with last version 1.0.1) was removed from CRAN

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

2014-09-12 1.0.1

Permanent link
Package lsgl (with last version 1.3.6) was removed from CRAN

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

2017-04-02 1.3.6
2016-12-28 1.3.5
2016-09-28 1.3.0
2016-09-10 1.2.1
2015-09-19 1.2.0
2014-11-05 1.0.123.1
2014-03-25 1.0.123.0

Permanent link
Package msgl (with last version 2.3.6) was removed from CRAN

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

2017-04-02 2.3.6
2016-12-28 2.3.5
2016-09-28 2.3.0
2016-09-10 2.2.1
2015-09-19 2.2.0
2014-11-05 2.0.125.1
2014-03-26 2.0.125.0
2014-03-25 2.0.123.0
2014-02-19 0.1.7
2013-12-07 0.1.6
2013-11-18 0.1.05
2013-06-01 0.1.4
2013-05-27 0.1.3
2013-05-25 0.1.2
2013-05-24 0.1.1

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New package landsepi with initial version 0.0.2
Package: landsepi
Type: Package
Encoding: UTF-8
Title: Landscape Epidemiology and Evolution
Version: 0.0.2
Date: 2018-03-19
Authors@R: c(person("Loup", "Rimbaud", role = "aut", email = "loup.rimbaud@csiro.au"), person("Julien", "Papaix", role = "aut", email = "julien.papaix@inra.fr"), person("Jean-Francois", "Rey", role = "cre", email = "jean-francois.rey@inra.fr"))
Author: Loup Rimbaud [aut], Julien Papaix [aut], Jean-Francois Rey [cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inra.fr>
Description: A spatio-temporal stochastic model to assess resistance deployment strategies against plant pathogens. The model is based on stochastic geometry for describing the landscape and the resistant hosts, a dispersal kernel for the dissemination of the pathogen, and a SEIR (Susceptible-Exposed-Infectious-Removed) architecture to simulate plant response to disease. Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett, Peter H Thrall (2018) <doi:10.1101/260836>.
License: GPL (>= 2) | file LICENSE
LazyData: true
BuildVignettes: true
NeedsCompilation: yes
Biarch: true
SystemRequirements: C++11, gsl, gdal >= 1.7.0
Depends: methods, utils, grDevices (>= 3.0.0), graphics (>= 3.0.0), R (>= 3.3.0), Rcpp (>= 0.9.0), rgdal (>= 1.2-16)
Imports: sp (>= 1.0-17), stats (>= 3.0.2), Matrix, MASS, rgeos, maptools, fields, splancs, sf
Collate: 'invlogit.R' 'logit.R' 'RcppExports.R' 'graphLand.R' 'periodic_cov.R' 'multiN.R' 'AgriLand.R' 'HLIRdynamics.R' 'demo_landsepi.R' 'landsepi.R' 'plotevolQR.R' 'simul_landsepi.R'
LinkingTo: Rcpp
RoxygenNote: 6.0.1
Packaged: 2018-03-23 08:48:28 UTC; jfrey
Repository: CRAN
Date/Publication: 2018-03-26 12:38:25 UTC

More information about landsepi at CRAN
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New package kde1d with initial version 0.1.0
Package: kde1d
Type: Package
Title: Univariate Kernel Density Estimation
Version: 0.1.0
Authors@R: c( person("Thomas", "Nagler",, "mail@tnagler.com", role = c("aut", "cre")), person("Thibault", "Vatter",, "thibault.vatter@gmail.com", role = c("aut")) )
Description: Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <arXiv:1303.4121>, Geenens and Wang (2018) <arXiv:1602.04862>, Nagler (2018a) <arXiv:1704.07457>, Nagler (2018b) <arXiv:1705.05431>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: BH, Rcpp, RcppEigen
Imports: cctools, graphics, Rcpp, qrng, stats, utils
RoxygenNote: 6.0.1
Suggests: testthat
URL: https://github.com/tnagler/kde1d
BugReports: https://github.com/tnagler/kde1d/issues
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2018-03-23 20:50:37 UTC; n5
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>
Repository: CRAN
Date/Publication: 2018-03-26 11:01:35 UTC

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Package fdANOVA updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-08

Title: Analysis of Variance for Univariate and Multivariate Functional Data
Description: Performs analysis of variance testing procedures for univariate and multivariate functional data (Cuesta-Albertos and Febrero-Bande (2010) <doi:10.1007/s11749-010-0185-3>, Gorecki and Smaga (2015) <doi:10.1007/s00180-015-0555-0>, Gorecki and Smaga (2017) <doi:10.1080/02664763.2016.1247791>, Zhang et al. (2016) <arXiv:1309.7376v1>).
Author: Tomasz Gorecki, Lukasz Smaga
Maintainer: Lukasz Smaga <ls@amu.edu.pl>

Diff between fdANOVA versions 0.1.0 dated 2017-09-08 and 0.1.1 dated 2018-03-26

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New package datr with initial version 0.1.0
Package: datr
Title: 'Dat' Protocol Interface
Version: 0.1.0
Authors@R: person("Chris", "Hartgerink", , "chris@libscie.org", c("aut", "cre"))
Description: Interface with the 'Dat' p2p network protocol <https://datproject.org>. Clone archives from the network, share your own files, and install packages from the network.
License: GPL-3
Depends: R (>= 3.1)
Imports: devtools,
Suggests: covr, testthat
SystemRequirements: dat (>= 13.10.0)
ByteCompile: true
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/libscie/datr
BugReports: https://github.com/libscie/datr/issues
NeedsCompilation: no
Packaged: 2018-03-23 18:57:51 UTC; chjh
Author: Chris Hartgerink [aut, cre]
Maintainer: Chris Hartgerink <chris@libscie.org>
Repository: CRAN
Date/Publication: 2018-03-26 09:22:29 UTC

More information about datr at CRAN
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Package compound.Cox updated to version 3.10 with previous version 3.9 dated 2018-03-16

Title: Univariate Feature Selection and Compound Covariate for Predicting Survival
Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (gene expressions). Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>, statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2018-)<submitted>. Algorithms for generating correlated gene expressions are also available.
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between compound.Cox versions 3.9 dated 2018-03-16 and 3.10 dated 2018-03-26

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Package rly updated to version 1.5 with previous version 1.4.2 dated 2017-01-08

Title: 'Lex' and 'Yacc'
Description: R implementation of the common parsing tools 'lex' and 'yacc'.
Author: Marek Jagielski [aut, cre, cph], David M. Beazley [aut, cph], Yasutaka Tanaka [ctb]
Maintainer: Marek Jagielski <marek.jagielski@gmail.com>

Diff between rly versions 1.4.2 dated 2017-01-08 and 1.5 dated 2018-03-26

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Package hts updated to version 5.1.5 with previous version 5.1.4 dated 2017-06-21

Title: Hierarchical and Grouped Time Series
Description: Provides methods for analysing and forecasting hierarchical and grouped time series. The available forecast methods include bottom-up, top-down, optimal combination reconciliation (Hyndman et al. 2011) <doi:10.1016/j.csda.2011.03.006>, and trace minimization reconciliation (Wickramasuriya et al. 2018) <doi:10.1080/01621459.2018.1448825>.
Author: Rob Hyndman [aut] (Package creator), Alan Lee [aut] (Fast computation using recursive methods), Earo Wang [aut, cre], Shanika Wickramasuriya [aut] (Reconciliation via trace minimization)
Maintainer: Earo Wang <earo.wang@gmail.com>

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Package degreenet updated to version 1.3-3 with previous version 1.3-1 dated 2015-04-19

Title: Models for Skewed Count Distributions Relevant to Networks
Description: Likelihood-based inference for skewed count distributions used in network modeling. "degreenet" is a part of the "statnet" suite of packages for network analysis.
Author: Mark S. Handcock <handcock@stat.ucla.edu>
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package bomrang updated to version 0.1.4 with previous version 0.1.1 dated 2017-12-15

Title: Australian Government Bureau of Meteorology Data from R
Description: Provides functions to interface with Australian Government Bureau of Meteorology (BOM) data, fetching data and returning a tidy data frame of précis forecasts, current weather data from stations, agriculture bulletin data, BOM 0900 or 1500 weather bulletins or a raster stack object of satellite imagery from GeoTIFF files. Data (c) Australian Government Bureau of Meteorology Creative Commons (CC) Attribution 3.0 licence or Public Access Licence (PAL) as appropriate. See <http://www.bom.gov.au/other/copyright.shtml> for further details.
Author: Adam Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Mark Padgham [aut, rev] (<https://orcid.org/0000-0003-2172-5265>), Hugh Parsonage [aut] (<https://orcid.org/0000-0003-4055-0835>), Keith Pembleton [aut] (<https://orcid.org/0000-0002-1896-4516>), James Balamuta [ctb] (<https://orcid.org/0000-0003-2826-8458>), Brooke Anderson [rev] (<https://orcid.org/0000-0002-5012-9035>)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

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Package olsrr updated to version 0.5.0 with previous version 0.4.0 dated 2017-12-05

Title: Tools for Building OLS Regression Models
Description: Tools for building OLS regression models . Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
Author: Aravind Hebbali [aut, cre]
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Package BoltzMM updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-19

Title: Boltzmann Machines with MM Algorithms
Description: Provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines. It follows the methods described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.
Author: Andrew Thomas Jones, Hien Duy Ngyuen
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

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Package embryogrowth updated to version 7.4 with previous version 7.1 dated 2017-11-23

Title: Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Description: Tools to analyze the embryo growth and the sexualisation thermal reaction norms.
Author: Marc Girondot <marc.girondot@u-psud.fr>
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

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Package phenomap updated to version 1.2.1 with previous version 1.2.0 dated 2018-02-20

Title: Projecting Satellite-Derived Phenology in Space
Description: This tool projects annual phenology metrics and long-term phenology trends, following methodologies described in John (2016) <https://etda.libraries.psu.edu/catalog/13521clj5135>.
Author: Christian John [aut, cre]
Maintainer: Christian John <cjohn@ucdavis.edu>

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Package oem updated to version 2.0.8 with previous version 2.0.7 dated 2018-02-01

Title: Orthogonalizing EM: Penalized Regression for Big Tall Data
Description: Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.
Author: Bin Dai [aut], Jared Huling [aut, cre], Yixuan Qiu [ctb], Gael Guennebaud [cph], Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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