Mon, 23 Oct 2017

Package jsTree updated to version 1.0.1 with previous version 1.0 dated 2017-10-06

Title: Create Interactive Trees with the 'jQuery' 'jsTree' Plugin
Description: Create and customize interactive trees using the 'jQuery' 'jsTree' <https://www.jstree.com/> plugin library and the 'htmlwidgets' package. These trees can be used directly from the R console, from 'RStudio', in Shiny apps and R Markdown documents.
Author: Jonathan Sidi [aut, cre]
Maintainer: Jonathan Sidi <yonis@metrumrg.com>

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Package comtradr updated to version 0.1.0 with previous version 0.0.2 dated 2017-07-03

Title: Interface with the United Nations Comtrade API
Description: Interface with and extract data from the United Nations Comtrade API <https://comtrade.un.org/data/>. Comtrade provides country level shipping data for a variety of commodities, these functions allow for easy API query and data returned as a tidy data frame.
Author: Chris Muir [aut, cre]
Maintainer: Chris Muir <chrismuirRVA@gmail.com>

Diff between comtradr versions 0.0.2 dated 2017-07-03 and 0.1.0 dated 2017-10-23

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Package xtensor updated to version 0.2.0-0 with previous version 0.1.1-0 dated 2017-09-15

Title: Headers for the 'xtensor' Library
Description: The 'xtensor' C++ library for numerical analysis with multi-dimensional array expressions is provided as a header-only C++14 library. It offers an extensible expression system enabling lazy broadcasting; an API following the idioms of the C++ standard library; and tools to manipulate array expressions and build upon 'xtensor'.
Author: Johan Mabille, Sylvain Corlay and Wolf Vollprecht
Maintainer: Sylvain Corlay <sylvain.corlay@gmail.com>

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Package CINNA updated to version 1.1.2 with previous version 1.1.1 dated 2017-10-08

Title: Deciphering Central Informative Nodes in Network Analysis
Description: Functions for computing, comparing and demonstrating top informative centrality measures within a network.
Author: Minoo Ashtiani, Mohieddin Jafari
Maintainer: Minoo Ashtiani <m_ashtiani@pasteur.ac.ir>

Diff between CINNA versions 1.1.1 dated 2017-10-08 and 1.1.2 dated 2017-10-23

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Package bigKRLS updated to version 2.0.3 with previous version 2.0.2 dated 2017-09-26

Title: Optimized Kernel Regularized Least Squares
Description: Functions for Kernel-Regularized Least Squares optimized for speed and memory usage are provided along with visualization tools. For working papers, sample code, and recent presentations visit <https://sites.google.com/site/petemohanty/software/>. bigKRLS, as well its dependencies, require current versions of R and its compilers (and RStudio if used). For details, see <https://github.com/rdrr1990/bigKRLS/blob/master/INSTALL.md>.
Author: Pete Mohanty [aut, cre], Robert Shaffer [aut]
Maintainer: Pete Mohanty <pete.mohanty@gmail.com>

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Package ziphsmm updated to version 1.0.8 with previous version 1.0.7 dated 2017-09-23

Title: Zero-Inflated Poisson Hidden (Semi-)Markov Models
Description: Fit zero-inflated Poisson hidden (semi-)Markov models with or without covariates by directly minimizing the negative log likelihood function using the gradient descent algorithm. Multiple starting values should be used to avoid local minima.
Author: Zekun (Jack) Xu, Ye Liu, Ana-Maria Staicu, Eric Laber
Maintainer: Zekun (Jack) Xu <zekunxu@gmail.com>

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Package TurtleGraphics updated to version 1.0-7 with previous version 1.0-5 dated 2014-10-07

Title: Turtle Graphics
Description: An implementation of turtle graphics <http://en.wikipedia.org/wiki/Turtle_graphics>. Turtle graphics comes from Papert's language Logo and has been used to teach concepts of computer programming.
Author: Anna Cena [aut], Marek Gagolewski [aut], Marcin Kosinski [aut], Natalia Potocka [aut], Barbara Zogala-Siudem [aut, cre]
Maintainer: Barbara Zogala-Siudem <zogala@rexamine.com>

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Package bigQueryR updated to version 0.3.2 with previous version 0.3.1 dated 2017-05-20

Title: Interface with Google BigQuery with Shiny Compatibility
Description: Interface with 'Google BigQuery', see <https://cloud.google.com/bigquery/> for more information. This package uses 'googleAuthR' so is compatible with similar packages, including 'Google Cloud Storage' (<https://cloud.google.com/storage/>) for result extracts.
Author: Mark Edmondson [aut, cre], Hadley Wickham [ctb]
Maintainer: Mark Edmondson <r@sunholo.com>

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Package orcutt updated to version 2.2 with previous version 2.1 dated 2017-04-09

Title: Estimate Procedure in Case of First Order Autocorrelation
Description: Solve first order autocorrelation problems using an iterative method. This procedure estimates both autocorrelation and beta coefficients recursively until we reach the convergence (8th decimal as default). The residuals are computed after estimating Beta using EGLS approach and Rho is estimated using the previous residuals.
Author: Stefano Spada [aut, cre], Matteo Quartagno [ctb], Marco Tamburini [ctb], David Robinson [ctb]
Maintainer: Stefano Spada <lostefanospada@gmail.com>

Diff between orcutt versions 2.1 dated 2017-04-09 and 2.2 dated 2017-10-23

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Package ompr.roi updated to version 0.6.1 with previous version 0.6.0 dated 2017-04-19

Title: A Solver for 'ompr' that Uses the R Optimization Infrastructure ('ROI')
Description: A solver for 'ompr' based on the R Optimization Infrastructure ('ROI'). The package makes all solvers in 'ROI' available to solve 'ompr' models. Please see the 'ompr' website <https://dirkschumacher.github.io/ompr> and package docs for more information and examples on how to use it.
Author: Dirk Schumacher [aut, cre]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>

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Package mpath updated to version 0.3-4 with previous version 0.3-3 dated 2017-08-18

Title: Regularized Linear Models
Description: Algorithms for fitting model-based penalized coefficient paths. Currently the models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each possibly combining with L_2 penalty.
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny
Maintainer: Zhu Wang <zwang@connecticutchildrens.org>

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Package mem updated to version 2.11 with previous version 2.10 dated 2017-09-01

Title: The Moving Epidemic Method
Description: The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>

Diff between mem versions 2.10 dated 2017-09-01 and 2.11 dated 2017-10-23

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Package dendroTools updated to version 0.0.4 with previous version 0.0.3 dated 2017-09-28

Title: Nonlinear Methods for Analyzing Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are two core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. The second one is compare_methods(), which effectively compares linear and several nonlinear regression algorithms.
Author: Jernej Jevsenak [aut, cre], Tom Levanic [ctb]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

Diff between dendroTools versions 0.0.3 dated 2017-09-28 and 0.0.4 dated 2017-10-23

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Package BBMV updated to version 2.0 with previous version 1.0 dated 2017-05-02

Title: Models for Continuous Traits Evolving in Macroevolutionary Landscapes of any Shape
Description: Provides a set of functions to fit general macroevolutionary models for continuous traits evolving in adaptive landscapes of any shape. This package implements the Fokker-Planck-Kolmogorov model (FPK), in which the trait evolves under random diffusion but is also subject to a force that pulls it towards specific values - this force can be of any shape. FPK has a version in which hard reflective bounds exist at the extremes of the trait interval: this second model is called BBMV.
Author: Florian C. Boucher
Maintainer: Florian C. Boucher <flofloboucher@gmail.com>

Diff between BBMV versions 1.0 dated 2017-05-02 and 2.0 dated 2017-10-23

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Package AzureML updated to version 0.2.14 with previous version 0.2.13 dated 2016-08-21

Title: Interface with Azure Machine Learning Datasets, Experiments and Web Services
Description: Functions and datasets to support Azure Machine Learning. This allows you to interact with datasets, as well as publish and consume R functions as API services.
Author: Rich Calaway [cre], Andrie de Vries [aut], Microsoft Corporation [cph], Revolution Analytics [cph] (Code adapted from the foreach package)
Maintainer: Rich Calaway <richcala@microsoft.com>

Diff between AzureML versions 0.2.13 dated 2016-08-21 and 0.2.14 dated 2017-10-23

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Package ANN2 updated to version 1.1 with previous version 1.0 dated 2017-10-14

Title: Artificial Neural Networks for Anomaly Detection
Description: Training of general classification and regression neural networks using gradient descent. Special features include a function for training replicator neural networks and a function for training autoencoders. Multiple activation and cost functions (including Huber and pseudo-Huber) are supported, as well as L1 and L2 regularization, momentum, early stopping and the possibility to specify a learning rate schedule. The package contains a vectorized gradient descent implementation which facilitates faster training through batch learning.
Author: Bart Lammers
Maintainer: Bart Lammers <bart.f.lammers@gmail.com>

Diff between ANN2 versions 1.0 dated 2017-10-14 and 1.1 dated 2017-10-23

 DESCRIPTION     |   16 ++++++++--------
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Package Rcrawler updated to version 0.1.5 with previous version 0.1.4 dated 2017-10-22

Title: Web Crawler and Scraper
Description: Performs parallel web crawling and web scraping. It is designed to crawl, parse and store web pages to produce data that can be directly used for analysis application. For details see Khalil and Fakir (2017) <DOI:10.1016/j.softx.2017.04.004>.
Author: Salim Khalil [aut, cre]
Maintainer: Salim Khalil <khalilsalim1@gmail.com>

Diff between Rcrawler versions 0.1.4 dated 2017-10-22 and 0.1.5 dated 2017-10-23

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Permanent link

New package MlBayesOpt with initial version 0.3.3
Package: MlBayesOpt
Type: Package
Title: Hyper Parameter Tuning for Machine Learning, Using Bayesian Optimization
Version: 0.3.3
Authors@R: person("Yuya", "Matsumura", email = "mattu.yuya@gmail.com", role = c("aut", "cre"))
Maintainer: Yuya Matsumura <mattu.yuya@gmail.com>
Description: Hyper parameter tuning using Bayesian optimization (Shahriari et al. <doi:10.1109/JPROC.2015.2494218>) for support vector machine, random forest, and extreme gradient boosting (Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>). Unlike already existing packages (e.g. 'mlr', 'rBayesianOptimization', or 'xgboost'), there is no need to change in accordance with the package or method of machine learning. You just prepare a data frame with feature vectors and the label column that has any class ('character', 'factor', 'integer'). Moreover, to write a optimization function, you have only to specify the data and the column name of the label to classify.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: xgboost(>= 0.6-4), Matrix, rBayesianOptimization(>= 1.1.0), e1071(>= 1.6-8), ranger(>= 0.8.0), data.table(>= 1.9.6), foreach, rlang(>= 0.1.2), dplyr(>= 0.7.0)
Suggests: MASS, testthat, knitr, rmarkdown
RoxygenNote: 6.0.1
URL: https://github.com/ymattu/MlBayesOpt
BugReports: https://github.com/ymattu/MlBayesOpt/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-10-23 12:17:54 UTC; yuya
Author: Yuya Matsumura [aut, cre]
Repository: CRAN
Date/Publication: 2017-10-23 13:14:12 UTC

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Package grattan updated to version 1.5.2.4 with previous version 1.5.1.2 dated 2017-08-30

Title: Australian Tax Policy Analysis
Description: A series of functions focused on costing and evaluating Australian tax policy in support of the Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/drat/", type = "source"). N.B. The 'taxstats' package is approximately 50 MB.
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattan versions 1.5.1.2 dated 2017-08-30 and 1.5.2.4 dated 2017-10-23

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Package DBEST updated to version 1.8 with previous version 1.7 dated 2017-05-31

Title: Detecting Breakpoints and Estimating Segments in Trend
Description: A program for analyzing vegetation time series, with two algorithms: 1) change detection algorithm that detects trend changes, determines their type (abrupt or non-abrupt), and estimates their timing, magnitude, number, and direction; 2) generalization algorithm that simplifies the temporal trend into main features. The user can set the number of major breakpoints or magnitude of greatest changes of interest for detection, and can control the generalization process by setting an additional parameter of generalization-percentage.
Author: Sadegh Jamali, Hristo Tomov
Maintainer: Hristo Tomov <tomov.hristo@gmail.com>

Diff between DBEST versions 1.7 dated 2017-05-31 and 1.8 dated 2017-10-23

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New package ROI.plugin.deoptim with initial version 0.3-0
Package: ROI.plugin.deoptim
Version: 0.3-0
Title: 'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization Interface
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'DEoptim' and 'DEoptimR' package. 'DEoptim' is used for unconstrained optimization and 'DEoptimR' for constrained optimization.
Imports: methods, stats, utils, ROI (>= 0.3-0), DEoptim, DEoptimR (>= 1.0-4)
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2017-10-22 21:44:46 UTC; florian
Repository: CRAN
Date/Publication: 2017-10-23 11:05:08 UTC

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New package Publish with initial version 2017.10.24
Package: Publish
Type: Package
Title: Format Output of Various Routines in a Suitable Way for Reports and Publication
Description: A bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.
Version: 2017.10.24
Authors@R: c(person("Thomas A.", "Gerds", role = c("aut", "cre"), email = "tag@biostat.ku.dk"), person("Christian", "Torp-Pedersen", role = "ctb"), person("Klaus", "K Holst", role = "ctb"), person("Brice", "Ozenne", role = "aut", email = "broz@sund.ku.dk"))
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>
Depends: prodlim (>= 1.5.4)
Imports: survival (>= 2.38), data.table (>= 1.10.4), lava (>= 1.4.3), multcomp (>= 1.4)
Suggests: lme4 (>= 1.1), mets (>= 1.1.1), pec (>= 2.4.4), riskRegression (>= 1.4.3), testthat, smcfcs (>= 1.3.0), mitools (>= 2.3), nlme (>= 3.1-131)
License: GPL (>= 2)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-23 11:37:16 UTC; tag
Author: Thomas A. Gerds [aut, cre], Christian Torp-Pedersen [ctb], Klaus K Holst [ctb], Brice Ozenne [aut]
Repository: CRAN
Date/Publication: 2017-10-23 11:54:24 UTC

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Package MHCtools updated to version 1.1.0 with previous version 1.0.0 dated 2017-09-29

Title: Analysis of MHC Data in Non-Model Species
Description: Ten tools for analysis of major histocompatibility complex (MHC) data in non- model species. The functions are tailored for amplicon data sets that have been filtered using the 'dada2' method (for more information visit <https://benjjneb.github.io/dada2>), but even other data sets can be analysed, if the data tables are formatted according to the description in each function. The ReplMatch() function matches replicates in data sets in order to evaluate genotyping success. The GetReplTable() and GetReplStats() functions perform such an evaluation. The HpltFind() function infers putative haplotypes from families in the data set. The GetHpltTable() and GetHpltStats() functions evaluate the accuracy of the haplotype inference. The PapaDiv() function compares parent pairs in the data set and calculate their joint MHC diversity, taking into account sequence variants that occur in both parents. The MeanPdist() function calculates the mean p-distance from pairwise comparisons sequences in each sample in a data set. The function includes the option to specify which codons to compare. The CreateFas() function creates a fasta file with all the sequences in the data set. The CreateSamplesFas() function creates a fasta file for each sample in the data set.
Author: Jacob Roved [aut, cre]
Maintainer: Jacob Roved <jacob.roved@biol.lu.se>

Diff between MHCtools versions 1.0.0 dated 2017-09-29 and 1.1.0 dated 2017-10-23

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New package KGode with initial version 1.0.0
Package: KGode
Title: Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
Version: 1.0.0
Authors@R: person("Mu", "Niu", email = "mu.niu@plymouth.ac.uk", role = c("aut","cre"))
Author: Mu Niu [aut, cre]
Maintainer: Mu Niu <mu.niu@plymouth.ac.uk>
Description: The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) <http://jmlr.org/proceedings/papers/v48/niu16.html> and the warping algorithm proposed in Niu et al. (2017) <DOI:10.1007/s00180-017-0753-z> are implemented for parameter inference in differential equations. Four schemes are provided for improving parameter estimation in odes by using the odes regularisation and warping.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
Imports: R6,pracma,pspline,mvtnorm
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-22 19:14:08 UTC; muniu
Repository: CRAN
Date/Publication: 2017-10-23 11:18:27 UTC

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Package EfficientMaxEigenpair updated to version 0.1.4 with previous version 0.1.3 dated 2017-08-03

Title: Efficient Initials for Computing the Maximal Eigenpair
Description: An implementation for using efficient initials to compute the maximal eigenpair in R. It provides three algorithms to find the efficient initials under two cases: the tridiagonal matrix case and the general matrix case. Besides, it also provides two algorithms for the next to the maximal eigenpair under these two cases.
Author: Mu-Fa Chen <mfchen@bnu.edu.cn>
Maintainer: Xiao-Jun Mao <maoxj.ki@gmail.com>

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Package WaveLetLongMemory updated to version 0.1.2 with previous version 0.1.1 dated 2017-05-11

Title: Estimating Long Memory Parameter using Wavelet
Description: Estimation of the long memory parameter using wavelets. Other estimation techniques like GPH (Geweke and Porter-Hudak,1983, <DOI:10.1111/j.1467-9892.1983.tb00371.x>) and Semiparametric methods(Robinson, P. M.,1995, <DOI:10.1214/aos/1176324317>) also have included.
Author: Sandipan Samanta and Dr. Ranjit Kumar Paul
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>

Diff between WaveLetLongMemory versions 0.1.1 dated 2017-05-11 and 0.1.2 dated 2017-10-23

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Package MAINT.Data updated to version 1.1.4 with previous version 1.1.3 dated 2017-10-19

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>
Maintainer: Pedro Duarte Silva <psilva@porto.ucp.pt>

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Package COMBIA updated to version 1.0.5 with previous version 1.0-4 dated 2015-07-26

Title: Synergy/Antagonism Analyses of Drug Combinations
Description: A comprehensive synergy/antagonism analyses of drug combinations with quality graphics and data. The analyses can be performed by Bliss independence and Loewe additivity models. 'COMBIA' provides improved statistical analysis and makes only very weak assumption of data variability while calculating bootstrap intervals (BIs). It is based on heteroscedasticity controlled resampling (bootstrapping) and includes a global (omnibus) test. Finally, package saves analyzed data, 2D and 3D plots ready to use in research publications. 'COMBIA' does not require manual data entry. Data can be directly input from wetlab experimental platforms for example fluostar, automated robots etc. One only needs to call a single function, analyzeCOMBO(), to perform all analysis (examples are provided with sample data).
Author: Muhammad Kashif
Maintainer: Muhammad Kashif <Muhammad.Kashif@medsci.uu.se>

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New package census with initial version 0.1.0
Type: Package
Package: census
Title: Scrape US Census Data
Version: 0.1.0
Authors@R: person("Danny", "Malter", email = "danmalter@gmail.com", role = c("aut", "cre"))
Maintainer: Danny Malter <danmalter@gmail.com>
Description: A scraper to collect US Census data from the American Community Survey (ACS) data and metadata. Available datasets include population, income, education and employment levels by age, sex and race. See <http://mcdc.missouri.edu/websas/caps10acsb.html> for more information. Unlike other census related packages, this package does not require a U.S. Census Bureau API.
URL: https://github.com/danmalter/census
BugReports: https://github.com/danmalter/census/issues
Depends: R (>= 3.2.0), ggmap, RCurl, utils
Suggests: knitr, rmarkdown, ggplot2
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-10-22 20:48:24 UTC; Malter
Author: Danny Malter [aut, cre]
Repository: CRAN
Date/Publication: 2017-10-23 09:22:03 UTC

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New package carfima with initial version 1.0.0
Package: carfima
Version: 1.0.0
Date: 2017-10-21
Title: Continuous-Time Fractionally Integrated ARMA Process for Irregularly Spaced Long-Memory Time Series Data
Author: Hyungsuk Tak and Henghsiu Tsai
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>
Depends: R (>= 2.2.0)
Imports: MASS (>= 7.3-47), DEoptim (>= 2.2-4), numDeriv (>= 2016.8-1), truncnorm (>= 1.0-7), invgamma (>= 1.1)
Description: We provide a toolbox to fit a continuous-time fractionally integrated ARMA process (CARFIMA) on univariate and irregularly spaced time series data via frequentist or Bayesian machinery. A general-order CARFIMA(p, H, q) model for p>q is specified in Tsai and Chan (2005)<doi:10.1111/j.1467-9868.2005.00522.x> and it involves p+q+2 unknown model parameters, i.e., p AR parameters, q MA parameters, Hurst parameter H, and process uncertainty (standard deviation) sigma. The package produces their maximum likelihood estimates and asymptotic uncertainties using a global optimizer called the differential evolution algorithm. It also produces their posterior distributions via Metropolis within a Gibbs sampler equipped with adaptive Markov chain Monte Carlo for posterior sampling. These fitting procedures, however, may produce numerical errors if p>2. The toolbox also contains a function to simulate discrete time series data from CARFIMA(p, H, q) process given the model parameters and observation times.
License: GPL-2
NeedsCompilation: no
Packaged: 2017-10-21 16:47:01 UTC; hyungsuktak
Repository: CRAN
Date/Publication: 2017-10-23 09:05:43 UTC

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Package memapp updated to version 2.6 with previous version 2.5 dated 2017-09-21

Title: The Moving Epidemic Method Web Application
Description: Web application created in the Shiny framework for the 'mem' R package.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>

Diff between memapp versions 2.5 dated 2017-09-21 and 2.6 dated 2017-10-23

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Package zFactor updated to version 0.1.7 with previous version 0.1.6 dated 2017-07-03

Title: Calculate the Compressibility Factor 'z' for Hydrocarbon Gases
Description: Computational algorithms to solve equations and find the compressibility factor `z` of hydrocarbon gases. Correlations available: Hall-Yarborough, Dranchuk-AbuKassem, Dranchuk-Purvis-Robinson, Beggs-Brill, Papp, Shell and an Artificial Neural Network correlation (Ann10) by Kamyab et al. The package uses the original Standing-Katz chart for statistical comparison and plotting. Applicable to sweet hydrocarbon gases for now.
Author: Alfonso R. Reyes [aut, cre]
Maintainer: Alfonso R. Reyes <alfonso.reyes@oilgainsanalytics.com>

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Package rgenoud updated to version 5.8-1.0 with previous version 5.7-12.4 dated 2015-07-20

Title: R Version of GENetic Optimization Using Derivatives
Description: A genetic algorithm plus derivative optimizer.
Author: Walter R. Mebane, Jr. <wmebane@umich.edu>, Jasjeet Singh Sekhon <sekhon@berkeley.edu>
Maintainer: Jasjeet Singh Sekhon <sekhon@berkeley.edu>

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Package PCAmixdata updated to version 3.1 with previous version 3.0 dated 2017-07-08

Title: Multivariate Analysis of Mixed Data
Description: Implements principal component analysis, orthogonal rotation and multiple factor analysis for a mixture of quantitative and qualitative variables.
Author: Marie Chavent [aut, cre], Vanessa Kuentz [aut], Amaury Labenne [aut], Benoit Liquet [aut], Jerome Saracco [aut]
Maintainer: Marie Chavent <Marie.Chavent@u-bordeaux.fr>

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Package lsei updated to version 1.2-0 with previous version 1.1-1 dated 2015-10-07

Title: Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints
Description: It contains functions that solve least squares linear regression problems under linear equality/inequality constraints. Functions for solving quadratic programming problems are also available, which transform such problems into least squares ones first. It is developed based on the 'Fortran' program of Lawson and Hanson (1974, 1995), which is public domain and available at <http://www.netlib.org/lawson-hanson>.
Author: Yong Wang [aut, cre], Charles L. Lawson [aut], Richard J. Hanson [aut]
Maintainer: Yong Wang <yongwang@auckland.ac.nz>

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Package bayesPop updated to version 6.2-3 with previous version 6.2-2 dated 2017-10-11

Title: Probabilistic Population Projection
Description: Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy.
Author: Hana Sevcikova, Adrian Raftery, Thomas Buettner
Maintainer: Hana Sevcikova <hanas@uw.edu>

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