Tue, 24 Jul 2018

Package sys updated to version 1.6 with previous version 1.5 dated 2017-10-10

Title: Portable System Utilities
Description: Powerful replacements for base system2 with consistent behavior across platforms. Supports interruption, background tasks, and full control over STDOUT / STDERR binary or text streams. On Unix systems the package also has functions for evaluating expressions inside a temporary fork. Such evaluations have no side effects on the main R process, and support reliable interrupts and timeouts. This provides the basis for a sandboxing mechanism.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Gábor Csárdi [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package surveillance updated to version 1.16.2 with previous version 1.16.1 dated 2018-05-28

Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description: Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Höhle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. 'hhh4' estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. 'twinSIR' models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Höhle (2009) <doi:10.1002/bimj.200900050>. 'twinstim' estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.
Author: Michael Höhle [aut, ths] (<https://orcid.org/0000-0002-0423-6702>), Sebastian Meyer [aut, cre] (<https://orcid.org/0000-0002-1791-9449>), Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Sabanés Bové [ctb], Maëlle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb], Mikko Virtanen [ctb], Wei Wei [ctb], Valentin Wimmer [ctb], R Core Team [ctb] (A few code segments are modified versions of code from base R)
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

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Package spectrolab updated to version 0.0.7 with previous version 0.0.6 dated 2018-06-19

Title: Class and Methods for Hyperspectral Data
Description: Input/Output, processing and visualization of spectra taken with different spectrometers, including SVC (Spectra Vista), ASD and PSR (Spectral Evolution). Implements an S3 class 'spectra' that other packages can build on. Provides methods to access, plot, manipulate, splice sensor overlap, vector normalize and smooth spectra.
Author: Jose Eduardo Meireles [aut, cre], Anna K. Schweiger [aut], Jeannine Cavender-Bares [aut]
Maintainer: Jose Eduardo Meireles <meireles@umn.edu>

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Package princurve updated to version 2.1.2 with previous version 2.1.1 dated 2018-07-23

Title: Fits a Principal Curve in Arbitrary Dimension
Description: Fitting a principal curve to a data matrix in arbitrary dimensions.
Author: Trevor Hastie [aut], Andreas Weingessel [aut], Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), Henrik Bengtsson [ctb] (HenrikBengtsson), Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package piecewiseSEM updated to version 2.0.2 with previous version 2.0.1 dated 2018-07-03

Title: Piecewise Structural Equation Modeling
Description: Implements piecewise structural equation modeling from a single list of structural equations, with new methods for non-linear, latent, and composite variables, standardized coefficients, query-based prediction and indirect effects. See <http://jslefche.github.io/piecewiseSEM/> for more.
Author: Jon Lefcheck [aut, cre], Jarrett Byrnes [aut], James Grace [aut]
Maintainer: Jon Lefcheck <jlefcheck@bigelow.org>

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Package PairViz updated to version 1.3.1 with previous version 1.2.1 dated 2011-12-09

Title: Visualization using Graph Traversal
Description: Improving graphics by ameliorating order effects, using Eulerian tours and Hamiltonian decompositions of graphs.
Author: C.B. Hurley and R.W. Oldford
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

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Package NHMSAR updated to version 1.10 with previous version 1.9 dated 2018-07-22

Title: Non-Homogeneous Markov Switching Autoregressive Models
Description: Calibration, simulation, validation of (non-)homogeneous Markov switching autoregressive models with Gaussian or von Mises innovations. Penalization methods are implemented for Markov Switching Vector Autoregressive Models of order 1 only. Most functions of the package handle missing values.
Author: Valerie Monbet
Maintainer: Valerie Monbet <valerie.monbet@gmail.com>

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Package icr updated to version 0.5.6 with previous version 0.5.5 dated 2018-07-23

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb] (author of the C++ RNG code)
Maintainer: Alexander Staudt <staudtlex@live.de>

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New package bacistool with initial version 0.9.5
Package: bacistool
Type: Package
Title: Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials
Version: 0.9.5
Author: Nan Chen and J. Jack Lee
Maintainer: Nan Chen <nchen2@mdanderson.org>
Description: Provides the design of multi-group phase II clinical trials with binary outcomes using the hierarchical Bayesian classification and information sharing (BaCIS) model. Subgroups are classified into two clusters on the basis of their outcomes mimicking the hypothesis testing framework. Subsequently, information sharing takes place within subgroups in the same cluster, rather than across all subgroups. This method can be applied to the design and analysis of multi-group clinical trials with binary outcomes.
Depends: R (>= 3.3.0)
SystemRequirements: JAGS (>= 4.3.0)
Imports: rjags
License: GNU General Public License (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2018-07-24 19:25:10 UTC; NChen2
Repository: CRAN
Date/Publication: 2018-07-24 21:40:10 UTC

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Package echo.find updated to version 1.2.1 with previous version 1.1.1 dated 2018-06-21

Title: Finding Rhythms Using Extended Circadian Harmonic Oscillators (ECHO)
Description: Provides a function (echo_find()) designed to find rhythms from data using extended harmonic oscillators. For more information, see H. De los Santos et al. (2017) <doi:10.1145/3107411.3107420> .
Author: Hannah De los Santos [aut, cre], Emily Collins [aut], Jonathan Shewchuk [ctb], E.F. Harding [ctb], Kristin Bennett [aut], Jennifer Hurley [aut]
Maintainer: Hannah De los Santos <delosh@rpi.edu>

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Package finalfit updated to version 0.8.2 with previous version 0.8.1 dated 2018-07-17

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison, Tom Drake, Riinu Ots
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

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Package taxize updated to version 0.9.4 with previous version 0.9.3 dated 2018-03-20

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Eduard Szoecs [aut], Zachary Foster [aut], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzovaras [ctb], Philippe Marchand [ctb], Vinh Tran [ctb], Maëlle Salmon [ctb], Gaopeng Li [ctb], rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package sdcTable updated to version 0.24 with previous version 0.23 dated 2018-06-22

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>

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Package emdi updated to version 1.1.3 with previous version 1.1.2 dated 2018-04-04

Title: Estimating and Mapping Disaggregated Indicators
Description: Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation and the model-based approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel.
Author: Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut]
Maintainer: Soeren Pannier <soeren.pannier@fu-berlin.de>

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Package mvst updated to version 1.1.0 with previous version 1.0.1 dated 2016-07-25

Title: Bayesian Inference for the Multivariate Skew-t Model
Description: Estimates the multivariate skew-t and nested models, as described in the articles Liseo, B., Parisi, A. (2013). Bayesian inference for the multivariate skew-normal model: a population Monte Carlo approach. Comput. Statist. Data Anal. <doi:10.1016/j.csda.2013.02.007> and in Parisi, A., Liseo, B. (2017). Objective Bayesian analysis for the multivariate skew-t model. Statistical Methods & Applications <doi: 10.1007/s10260-017-0404-0>.
Author: Antonio Parisi [aut, cre], Brunero Liseo [aut], Dirk Eddelbuettel [ctb], Romain Francois [ctb]
Maintainer: Antonio Parisi <antonio.parisi@uniroma2.it>

Diff between mvst versions 1.0.1 dated 2016-07-25 and 1.1.0 dated 2018-07-24

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Package anMC updated to version 0.2.1 with previous version 0.2.0 dated 2017-11-21

Title: Compute High Dimensional Orthant Probabilities
Description: Computationally efficient method to estimate orthant probabilities of high-dimensional Gaussian vectors. Further implements a function to compute conservative estimates of excursion sets under Gaussian random field priors.
Author: Dario Azzimonti
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

Diff between anMC versions 0.2.0 dated 2017-11-21 and 0.2.1 dated 2018-07-24

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Package RhpcBLASctl updated to version 0.18-205 with previous version 0.18-185 dated 2018-07-05

Title: Control the Number of Threads on 'BLAS'
Description: Control the number of threads on 'BLAS' (Aka 'GotoBLAS', 'OpenBLAS', 'ACML', 'BLIS' and 'MKL'). And possible to control the number of threads in 'OpenMP'. Get a number of logical cores and physical cores if feasible.
Author: Junji NAKANO <nakanoj@ism.ac.jp> and Ei-ji Nakama <nakama@ki.rim.or.jp>
Maintainer: Ei-ji Nakama <nakama@ki.rim.or.jp>

Diff between RhpcBLASctl versions 0.18-185 dated 2018-07-05 and 0.18-205 dated 2018-07-24

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Package ERSA updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-05

Title: Exploratory Regression 'Shiny' App
Description: Constructs a 'shiny' app function with interactive displays for summary and analysis of variance regression tables, and parallel coordinate plots of data and residuals.
Author: Catherine B. Hurley
Maintainer: Catherine B. Hurley <catherine.hurley@mu.ie>

Diff between ERSA versions 0.1.0 dated 2018-04-05 and 0.1.1 dated 2018-07-24

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Package sigQC updated to version 0.1.21 with previous version 0.1.20 dated 2018-06-13

Title: Quality Control Metrics for Gene Signatures
Description: Provides gene signature quality control metrics in publication ready plots. Namely, enables the visualization of properties such as expression, variability, correlation, and comparison of methods of standardisation and scoring metrics.
Author: Andrew Dhawan [aut], Alessandro Barberis [aut], Wei-Chen Cheng [aut], Francesca Buffa [aut, cre]
Maintainer: Francesca Buffa <francesca.buffa@oncology.ox.ac.uk>

Diff between sigQC versions 0.1.20 dated 2018-06-13 and 0.1.21 dated 2018-07-24

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Package Rhpc updated to version 0.18-204 with previous version 0.18-185 dated 2018-07-05

Title: Permits *apply() Style Dispatch for 'HPC'
Description: Function of apply style using 'MPI' provides better 'HPC' environment on R. And this package supports long vector, can deal with slightly big data.
Author: Junji NAKANO <nakanoj@ism.ac.jp> and Ei-ji Nakama <nakama@ki.rim.or.jp>
Maintainer: Ei-ji Nakama <nakama@ki.rim.or.jp>

Diff between Rhpc versions 0.18-185 dated 2018-07-05 and 0.18-204 dated 2018-07-24

 ChangeLog                         |    5 +++++
 DESCRIPTION                       |    8 ++++----
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 src/worker/RhpcWorker_Lapplyseq.h |    2 +-
 6 files changed, 21 insertions(+), 15 deletions(-)

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Package safer updated to version 0.2.1 with previous version 0.2.0 dated 2017-10-30

Title: Encrypt and Decrypt Strings, R Objects and Files
Description: A consistent interface to encrypt and decrypt strings, R objects and files using symmetric and asymmetric key encryption.
Author: KS Srikanth [aut, cre]
Maintainer: KS Srikanth <sri.teach@gmail.com>

Diff between safer versions 0.2.0 dated 2017-10-30 and 0.2.1 dated 2018-07-24

 DESCRIPTION           |    8 +++---
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 7 files changed, 89 insertions(+), 41 deletions(-)

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Package mice updated to version 3.2.0 with previous version 3.1.0 dated 2018-06-20

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Alexander Robitzsch [ctb], Gerko Vink [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Rianne Schouten [ctb], Philipp Gaffert [ctb], Florian Meinfelder [ctb], Bernie Gray [ctb]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

Diff between mice versions 3.1.0 dated 2018-06-20 and 3.2.0 dated 2018-07-24

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Package inlabru updated to version 2.1.9 with previous version 2.1.3 dated 2018-02-11

Title: Spatial Inference using Integrated Nested Laplace Approximation
Description: Facilitates spatial modeling using integrated nested Laplace approximation via the INLA package (<http://www.r-inla.org>). Additionally, implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. See Yuan Yuan, Fabian E. Bachl, Finn Lindgren, David L. Borchers, Janine B. Illian, Stephen T. Buckland, Havard Rue, Tim Gerrodette (2017), <arXiv:1604.06013>.
Author: Fabian E. Bachl [aut, cre] (Fabian Bachl wrote the main code), Finn Lindgren [aut] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren wrote code for SPDE posterior plotting, and continued development of the main code), David L. Borchers [ctb] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb] (Lindesay Scott-Howard provied MRSea data import code)
Maintainer: Fabian E. Bachl <bachlfab@gmail.com>

Diff between inlabru versions 2.1.3 dated 2018-02-11 and 2.1.9 dated 2018-07-24

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Package Rnightlights updated to version 0.2.2 with previous version 0.2.1 dated 2018-05-26

Title: Satellite Nightlight Data Extraction
Description: Extracts raster and zonal statistics from satellite nightlight rasters downloaded from the United States National Oceanic and Atmospheric Administration (<http://www.noaa.gov>) free data repositories. Both the DMSP-OLS annual and SNPP-VIIRS monthly nightlight raster data are supported. Satellite nightlight raster tiles are downloaded and cropped to the country boundaries using shapefiles from the GADM database of Global Administrative Areas (<http://gadm.org>). Zonal statistics are then calculated at the lowest administrative boundary for the selected country and cached locally for future retrieval. Finally, a simple data explorer/browser is included that allows one to visualize the cached data e.g. graphing, mapping and clustering regional data.
Author: Christopher Njuguna [aut, cre, cph]
Maintainer: Christopher Njuguna <chris.njuguna@gmail.com>

Diff between Rnightlights versions 0.2.1 dated 2018-05-26 and 0.2.2 dated 2018-07-24

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Package pseudorank updated to version 0.2.6 with previous version 0.2.5 dated 2018-07-23

Title: Pseudo-Ranks
Description: Efficient calculation of pseudo-ranks. In case of equal sample sizes, pseudo-ranks and mid-ranks are equal. When used for inference mid-ranks may lead to paradoxical results. Pseudo-ranks are in general not affected by such a problem. For details, see Brunner, E., Bathke A. C. and Konietschke, F: Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS, Springer Verlag, to appear.
Author: Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>), Georg Zimmermann [aut], Arne C. Bathke [aut], Edgar Brunner [aut]
Maintainer: Martin Happ <martin.happ@aon.at>

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Package logKDE updated to version 0.3.1 with previous version 0.3.0 dated 2018-07-23

Title: Computing Log-Transformed Kernel Density Estimates for Positive Data
Description: Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <arXiv:1804.08365>.
Author: Hien D. Nguyen, Andrew T. Jones, and Geoffrey J. McLachlan
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

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Package jmvconnect updated to version 1.0.2 with previous version 1.0.1 dated 2018-07-22

Title: Connect to the 'jamovi' Statistical Spreadsheet
Description: Methods to access data sets from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information) from R.
Author: Jonathon Love [aut, cre]
Maintainer: Jonathon Love <jon@thon.cc>

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Package CaliCo updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-15

Title: Code Calibration in a Bayesian Framework
Description: Calibration of every computational code. It uses a Bayesian framework to rule the estimation. With a new data set, the prediction will create a prevision set taking into account the new calibrated parameters. The choices between several models is also available. The methods are described in the paper Carmassi et al. (2018) <arXiv:1801.01810>.
Author: Mathieu Carmassi [aut, cre]
Maintainer: Mathieu Carmassi <mathieu.carmassi@gmail.com>

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Package yaImpute updated to version 1.0-30 with previous version 1.0-29 dated 2017-12-10

Title: Nearest Neighbor Observation Imputation and Evaluation Tools
Description: Performs nearest neighbor-based imputation using one or more alternative approaches to processing multivariate data. These include methods based on canonical correlation analysis, canonical correspondence analysis, and a multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele Cutler. Additional methods are also offered. The package includes functions for comparing the results from running alternative techniques, detecting imputation targets that are notably distant from reference observations, detecting and correcting for bias, bootstrapping and building ensemble imputations, and mapping results.
Author: Nicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN)
Maintainer: Nicholas L. Crookston <ncrookston.fs@gmail.com>

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Package pcr updated to version 1.1.2 with previous version 1.1.1 dated 2018-06-23

Title: Analyzing Real-Time Quantitative PCR Data
Description: Calculates the amplification efficiency and curves from real-time quantitative PCR (Polymerase Chain Reaction) data. Estimates the relative expression from PCR data using the double delta CT and the standard curve methods Livak & Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Tests for statistical significance using two-group tests and linear regression Yuan et al. (2006) <doi: 10.1186/1471-2105-7-85>.
Author: Mahmoud Ahmed [aut, cre]
Maintainer: Mahmoud Ahmed <mahmoud.s.fahmy@students.kasralainy.edu.eg>

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Package CEC (with last version 0.10.1) was removed from CRAN

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

2018-07-09 0.10.1
2016-04-24 0.9.4
2015-02-03 0.9.3
2014-11-15 0.9.2
2014-10-09 0.9.1

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Package CAISEr updated to version 0.3.3 with previous version 0.3.0 dated 2018-06-19

Title: Comparison of Algorithms with Iterative Sample Size Estimation
Description: Functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy.
Author: Felipe Campelo [aut, cre], Fernanda Takahashi [aut]
Maintainer: Felipe Campelo <fcampelo@ufmg.br>

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Package aftgee updated to version 1.1.3 with previous version 1.1-2 dated 2018-05-28

Title: Accelerated Failure Time Model with Generalized Estimating Equations
Description: A collection of methods for both the rank-based estimates and least-square estimates to the Accelerated Failure Time (AFT) model. For rank-based estimation, it provides approaches that include the computationally efficient Gehan's weight and the general's weight such as the logrank weight. Details of the rank-based estimation can be found in Chiou et al. (2014) <doi:10.1007/s11222-013-9388-2> and Chiou et al. (2015) <doi:10.1002/sim.6415>. For the least-square estimation, the estimating equation is solved with generalized estimating equations (GEE). Moreover, in multivariate cases, the dependence working correlation structure can be specified in GEE's setting. Details on the least-squares estimation can be found in Chiou et al. (2014) <doi:10.1007/s10985-014-9292-x>.
Author: Sy Han Chiou [aut, cre], Sangwook Kang [aut], Jun Yan [aut]
Maintainer: Sy Han Chiou <schiou@utdallas.edu>

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