Sun, 23 Jul 2017

Package wildcard updated to version 1.0.2 with previous version 1.0.1 dated 2017-06-16

Title: Templates for Data Frames
Description: Generate data frames from templates.
Author: William Michael Landau [aut, cre]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between wildcard versions 1.0.1 dated 2017-06-16 and 1.0.2 dated 2017-07-23

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Package l0ara updated to version 0.1.5 with previous version 0.1.3 dated 2016-08-05

Title: Sparse Generalized Linear Model with L0 Approximation for Feature Selection
Description: An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.
Author: Wenchuan Guo, Shujie Ma, Zhenqiu Liu
Maintainer: Wenchuan Guo <wguo007@ucr.edu>

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Package APSIM updated to version 0.9.2 with previous version 0.9.1 dated 2016-10-19

Title: General Utility Functions for the 'Agricultural Production Systems Simulator'
Description: Contains functions designed to facilitate the loading and transformation of 'Agricultural Production Systems Simulator' output files <https://www.apsim.info>. Input meteorological data (also known as "weather" or "met") files can also be generated from user supplied data.
Author: Justin Fainges
Maintainer: Justin Fainges <Justin.Fainges@csiro.au>

Diff between APSIM versions 0.9.1 dated 2016-10-19 and 0.9.2 dated 2017-07-23

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Package sjstats updated to version 0.10.3 with previous version 0.10.2 dated 2017-06-27

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package netdiffuseR updated to version 1.18.1 with previous version 1.18.0 dated 2017-07-18

Title: Analysis of Diffusion and Contagion Processes on Networks
Description: Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Author: George Vega Yon [aut, cre] (Rewrite functions with Rcpp, plus new features), Stephanie Dyal [aut] (Package's first version), Timothy Hayes [aut] (Package's first version), Thomas Valente [aut, cph] (R original code)
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package polysat updated to version 1.7-1 with previous version 1.7-0 dated 2017-05-03

Title: Tools for Polyploid Microsatellite Analysis
Description: A collection of tools to handle microsatellite data of any ploidy (and samples of mixed ploidy) where allele copy number is not known in partially heterozygous genotypes. It can import and export data in ABI 'GeneMapper', 'Structure', 'ATetra', 'Tetrasat'/'Tetra', 'GenoDive', 'SPAGeDi', 'POPDIST', 'STRand', and binary presence/absence formats. It can calculate pairwise distances between individuals using a stepwise mutation model or infinite alleles model, with or without taking ploidies and allele frequencies into account. These distances can be used for the calculation of clonal diversity statistics or used for further analysis in R. Allelic diversity statistics and Polymorphic Information Content are also available. polysat can assist the user in estimating the ploidy of samples, and it can estimate allele frequencies in populations, calculate pairwise or global differentiation statistics based on those frequencies, and export allele frequencies to 'SPAGeDi' and 'adegenet'. Functions are also included for assigning alleles to isoloci in cases where one pair of microsatellite primers amplifies alleles from two or more independently segregating isoloci.
Author: Lindsay V. Clark [aut, cre]
Maintainer: Lindsay V. Clark <lvclark@illinois.edu>

Diff between polysat versions 1.7-0 dated 2017-05-03 and 1.7-1 dated 2017-07-23

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Package liftr updated to version 0.6 with previous version 0.5 dated 2017-04-12

Title: Containerize R Markdown Documents
Description: Persistent reproducible reporting by containerization of R Markdown documents.
Author: Nan Xiao [aut, cre], Miaozhu Li [ctb], Tengfei Yin [ctb]
Maintainer: Nan Xiao <me@nanx.me>

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New package hIRT with initial version 0.1.0
Package: hIRT
Type: Package
Title: Hierarchical Item Response Theory Models
Version: 0.1.0
Authors@R: person("Xiang", "Zhou", email = "xiang_zhou@fas.harvard.edu", role = c("aut", "cre"))
Description: Implementation of a class of hierarchical item response theory (IRT) models where both the mean and the variance of latent preferences (ability parameters) can depend on observed covariates. The current implementation includes both the two-parameter latent trait model and the graded response model for ordinal data. Both are fitted via the Expectation-Maximization (EM) algorithm. Asymptotic standard errors are derived from the observed information matrix.
Depends: R (>= 3.3.2), stats
Imports: pryr (>= 0.1.2), rms (>= 5.1-1)
Suggests: ggplot2 (>= 2.2.1)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: http://github.com/xiangzhou09/hIRT
BugReports: http://github.com/xiangzhou09/hIRT
NeedsCompilation: no
Packaged: 2017-07-23 11:04:00 UTC; Xiang
Author: Xiang Zhou [aut, cre]
Maintainer: Xiang Zhou <xiang_zhou@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2017-07-23 20:06:29 UTC

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Package GAS updated to version 0.2.4 with previous version 0.2.3 dated 2017-07-22

Title: Generalized Autoregressive Score Models
Description: Simulate, estimate and forecast using univariate and multivariate GAS models as described in Ardia et al. (2016) <https://ssrn.com/abstract=2825380>.
Author: Leopoldo Catania [aut,cre], Kris Boudt [ctb], David Ardia [ctb]
Maintainer: Leopoldo Catania <leopoldo.catania@uniroma2.it>

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More information about GAS at CRAN
Permanent link

Package EthSEQ updated to version 2.1.0 with previous version 2.0.1 dated 2017-04-04

Title: Ethnicity Annotation from Whole Exome Sequencing Data
Description: Reliable and rapid ethnicity annotation from whole exome sequencing data.
Author: Alessandro Romanel
Maintainer: Alessandro Romanel <alessandro.romanel@unitn.it>

Diff between EthSEQ versions 2.0.1 dated 2017-04-04 and 2.1.0 dated 2017-07-23

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 19 files changed, 300 insertions(+), 155 deletions(-)

More information about EthSEQ at CRAN
Permanent link

Package collapsibleTree updated to version 0.1.5 with previous version 0.1.4 dated 2017-03-22

Title: Interactive Collapsible Tree Diagrams using 'D3.js'
Description: Interactive Reingold-Tilford tree diagrams created using 'D3.js', where every node can be expanded and collapsed by clicking on it. Tooltips and color gradients can be mapped to nodes using a numeric column in the source data frame. See 'collapsibleTree' website for more information and examples.
Author: Adeel Khan [aut, cre], Dhrumin Shah [ctb], Mike Bostock [ctb, cph] (D3.js library, http://d3js.org)
Maintainer: Adeel Khan <AdeelK@gwu.edu>

Diff between collapsibleTree versions 0.1.4 dated 2017-03-22 and 0.1.5 dated 2017-07-23

 DESCRIPTION                         |   17 ++-
 MD5                                 |   27 +++--
 NAMESPACE                           |    4 
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Permanent link

Package aRpsDCA updated to version 1.1.1 with previous version 1.1.0 dated 2016-04-05

Title: Arps Decline Curve Analysis in R
Description: Functions for Arps decline-curve analysis on oil and gas data. Includes exponential, hyperbolic, harmonic, and hyperbolic-to-exponential models as well as the preceding with initial curtailment or a period of linear rate buildup. Functions included for computing rate, cumulative production, instantaneous decline, EUR, time to economic limit, and performing least-squares best fits.
Author: Derrick Turk [aut, cre, cph]
Maintainer: Derrick Turk <dwt@terminusdatascience.com>

Diff between aRpsDCA versions 1.1.0 dated 2016-04-05 and 1.1.1 dated 2017-07-23

 DESCRIPTION |   12 ++++++------
 MD5         |   10 +++++-----
 NAMESPACE   |    1 +
 R/eur.R     |    6 +++++-
 R/s3.R      |    9 ++++++---
 README.md   |   45 ++++++++++++++++++++++++++-------------------
 6 files changed, 49 insertions(+), 34 deletions(-)

More information about aRpsDCA at CRAN
Permanent link

New package spData with initial version 0.2.2
Package: spData
Title: Datasets for Spatial Analysis
Version: 0.2.2
Authors@R: c(person("Roger", "Bivand", role = "aut", email="Roger.Bivand@nhh.no"), person("Jakub", "Nowosad", role = c("aut", "cre"), email="nowosad.jakub@gmail.com"), person("Robin", "Lovelace", role = "aut") )
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire_osm, for example, is designed to illustrate point pattern analysis techniques.
Depends: R (>= 3.3.0)
Suggests: sf
License: CC0
RoxygenNote: 6.0.1
LazyData: true
URL: https://github.com/Nowosad/spData
BugReports: https://github.com/Nowosad/spData/issues
NeedsCompilation: no
Packaged: 2017-07-23 16:21:53 UTC; jn
Author: Roger Bivand [aut], Jakub Nowosad [aut, cre], Robin Lovelace [aut]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-23 17:37:41 UTC

More information about spData at CRAN
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New package ProjectionBasedClustering with initial version 1.0.0
Package: ProjectionBasedClustering
Type: Package
Title: Projection Based Clustering
Version: 1.0.0
Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre")),person("Florian", "Lerch",role="aut"),person("Felix", "Pape",role="aut"),person("Nybo", "Nybo",role="cph"),person("Jarkko", "Venna",role="cph"))
Date: 2017-07-21
Description: A clustering approach for every projection method based on the generalized U*-matrix visualization of a topographic map is made available here. The number of clusters and the cluster structure can be estimated by counting the valleys in a topographic map. If the number of clusters and the clustering method are chosen correctly, then the clusters will be well separated by mountains in the visualization. Most projection methods are wrappers for already available methods in R. However, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' software package and the Curvilinear Component Analysis (CCA) is translated from 'MATLAB' ('SOM Toolbox' 2.0) to R.
License: GPL-3
Imports: Rcpp, ggplot2, stats, graphics, vegan, deldir, geometry, GeneralizedUmatrix
Suggests: fastICA, tsne, FastKNN, MASS, pcaPP, spdep, methods, pracma, grid, mgcv
LinkingTo: Rcpp
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2017-07-23 06:13:40 UTC; MT
Author: Michael Thrun [aut, cre], Florian Lerch [aut], Felix Pape [aut], Nybo Nybo [cph], Jarkko Venna [cph]
Maintainer: Michael Thrun <m.thrun@gmx.net>
Repository: CRAN
Date/Publication: 2017-07-23 17:50:38 UTC

More information about ProjectionBasedClustering at CRAN
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New package nofrills with initial version 0.1.0
Package: nofrills
Type: Package
Title: Low-Cost Anonymous Functions
Version: 0.1.0
Authors@R: person("Eugene", "Ha", , "eha@posteo.de", c("aut", "cre"))
Description: Provides a compact variation of the usual syntax of function declaration, in order to support Tidyverse-style quasiquotation of a function's arguments and body.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends: R (>= 3.1.0)
Imports: rlang (>= 0.1.1)
Suggests: testthat
URL: https://github.com/egnha/nofrills
BugReports: https://github.com/egnha/nofrills/issues
Collate: 'nofrills.R' 'fn.R' 'as-fn.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-22 21:58:19 UTC; eha
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>
Repository: CRAN
Date/Publication: 2017-07-23 17:39:03 UTC

More information about nofrills at CRAN
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Package mirt updated to version 1.25 with previous version 1.24 dated 2017-05-04

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modelling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models are supported.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.24 dated 2017-05-04 and 1.25 dated 2017-07-23

 DESCRIPTION                     |    8 -
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 man/testinfo.Rd                 |    5 
 man/vcov-method.Rd              |    5 
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 tests/tests/test-02-mirtTwo.R   |   10 +
 tests/tests/test-11-discrete.R  |    7 +
 135 files changed, 1221 insertions(+), 467 deletions(-)

More information about mirt at CRAN
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Package mboost updated to version 2.8-1 with previous version 2.8-0 dated 2017-05-04

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
Author: Torsten Hothorn [aut], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut, cre], Fabian Sobotka [ctb], Fabian Scheipl [ctb], Andreas Mayr [ctb]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

Diff between mboost versions 2.8-0 dated 2017-05-04 and 2.8-1 dated 2017-07-23

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Permanent link

New package jpndistrict with initial version 0.2.0
Package: jpndistrict
Type: Package
Title: Create Japanese Administration Area and Office Maps
Version: 0.2.0
Authors@R: c(person(given = "Shinya", family = "Uryu", email = "suika1127@gmail.com", role = c("aut", "cre")))
Maintainer: Shinya Uryu <suika1127@gmail.com>
Description: Utilizing the data that Japanese administration area provided by the National Land Numerical Information download service (<http://nlftp.mlit.go.jp/ksj/index.html>).
Depends: R (>= 3.1.0)
Imports: dplyr, leaflet, magrittr, miniUI, readr, sf, shiny (>= 0.13), stringi, tibble
Suggests: devtools, ggplot2, kokudosuuchi, jpmesh, knitr, plotly, purrr, rmarkdown, rvest, testthat, tidyr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/uribo/jpndistrict
BugReports: https://github.com/uribo/jpndistrict/issues
NeedsCompilation: no
Packaged: 2017-07-23 13:52:57 UTC; uri
Author: Shinya Uryu [aut, cre]
Repository: CRAN
Date/Publication: 2017-07-23 17:50:34 UTC

More information about jpndistrict at CRAN
Permanent link

New package c2c with initial version 0.1.0
Package: c2c
Type: Package
Title: Compare Two Classifications or Clustering Solutions of Varying Structure
Version: 0.1.0
Authors@R: person("Mitchell", "Lyons", email = "mitchell.lyons@gmail.com", role = c("aut", "cre"))
Maintainer: Mitchell Lyons <mitchell.lyons@gmail.com>
Description: Compare two classifications or clustering solutions that may or may not have the same number of classes, and that might have hard or soft (fuzzy, probabilistic) membership. Calculate various metrics to assess how the clusters compare to each other. The calculations are simple, but provide a handy tool for users unfamiliar with matrix multiplication. This package is not geared towards traditional accuracy assessment for classification/ mapping applications - the motivating use case is for comparing a probabilistic clustering solution to a set of reference or existing class labels that could have any number of classes (that is, without having to degrade the probabilistic clustering to hard classes).
Depends: R (>= 3.1.0)
URL: https://github.com/mitchest/c2c/
BugReports: https://github.com/mitchest/c2c/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, e1071
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-23 02:57:48 UTC; mitchell
Author: Mitchell Lyons [aut, cre]
Repository: CRAN
Date/Publication: 2017-07-23 17:50:40 UTC

More information about c2c at CRAN
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Package bayesAB updated to version 1.0.0 with previous version 0.7.0 dated 2016-10-09

Title: Fast Bayesian Methods for AB Testing
Description: A suite of functions that allow the user to analyze A/B test data in a Bayesian framework. Intended to be a drop-in replacement for common frequentist hypothesis test such as the t-test and chi-sq test.
Author: Frank Portman [aut, cre]
Maintainer: Frank Portman <frank1214@gmail.com>

Diff between bayesAB versions 0.7.0 dated 2016-10-09 and 1.0.0 dated 2017-07-23

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Package RQDA updated to version 0.3-0 with previous version 0.2-8 dated 2016-12-12

Title: R-Based Qualitative Data Analysis
Description: Current version only supports plain text, but it can import PDF highlights if package 'rjpod' (<https://r-forge.r-project.org/projects/rqda/>) is installed.
Author: HUANG Ronggui
Maintainer: HUANG Ronggui <ronggui.huang@gmail.com>

Diff between RQDA versions 0.2-8 dated 2016-12-12 and 0.3-0 dated 2017-07-23

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Package randomLCA updated to version 1.0-12 with previous version 1.0-11 dated 2017-03-01

Title: Random Effects Latent Class Analysis
Description: Fits standard and random effects latent class models. The single level random effects model is described in Qu et al <doi:10.2307/2533043> and the two level random effects model in Beath and Heller <doi:10.1177/1471082X0800900302>. Examples are given for their use in diagnostic testing.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken.beath@mq.edu.au>

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Package NNS updated to version 0.3.5 with previous version 0.3.4 dated 2017-06-27

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modelling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

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Package joineRML updated to version 0.3.0 with previous version 0.2.2 dated 2017-05-01

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [aut], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R)
Maintainer: Graeme L. Hickey <graeme.hickey@liverpool.ac.uk>

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Package GSODR updated to version 1.0.4 with previous version 1.0.3 dated 2017-06-13

Title: Global Summary Daily Weather Data in R
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day (GSOD) weather data from the from the USA National Centers for Environmental Information (NCEI) for use in R. Units are converted from from United States Customary System (USCS) units to International System of Units (SI). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure (es), actual vapour pressure (ea) and relative humidity are calculated from the original data and included in the final data set. The resulting data include station identification information, state, country, latitude, longitude, elevation, weather observations and associated flags. Data may be automatically saved to disk. File output may be returned as a comma-separated values (CSV) or GeoPackage (GPKG) file. Additional data are included with this R package: a list of elevation values for stations between -60 and 60 degrees latitude derived from the Shuttle Radar Topography Measuring Mission (SRTM). For information on the GSOD data from NCEI, please see the GSOD readme.txt file available from, <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam Sparks [aut, cre] (http://orcid.org/0000-0002-0061-8359), Tomislav Hengl [aut] (http://orcid.org/0000-0002-9921-5129), Andrew Nelson [aut] (http://orcid.org/0000-0002-7249-3778)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

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Package geoGAM updated to version 0.1-2 with previous version 0.1-1 dated 2016-10-29

Title: Select Sparse Geoadditive Models for Spatial Prediction
Description: A model building procedure to build parsimonious geoadditive model from a large number of covariates. Continuous, binary and ordered categorical responses are supported. The model building is based on component wise gradient boosting with linear effects, smoothing splines and a smooth spatial surface to model spatial autocorrelation. The resulting covariate set after gradient boosting is further reduced through backward elimination and aggregation of factor levels. The package provides a model based bootstrap method to simulate prediction intervals for point predictions. A test data set of a soil mapping case study in Berne (Switzerland) is provided.
Author: Madlene Nussbaum [cre, aut], Andreas Papritz [ths]
Maintainer: Madlene Nussbaum <madlene.nussbaum@env.ethz.ch>

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Package EfficientMaxEigenpair updated to version 0.1.2 with previous version 0.1.1 dated 2017-06-15

Title: Efficient Initials for Computing the Maximal Eigenpair
Description: An implementation for using efficient initials to compute the maximal eigenpair in R. It provides two algorithms to find the efficient initials under two cases: the tridiagonal matrix case and the general matrix case. Besides, it also provides 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 dlsem updated to version 1.9 with previous version 1.8 dated 2017-06-12

Title: Distributed-Lag Linear Structural Equation Modelling
Description: Inference functionalities for distributed-lag linear structural equation models. Endpoint-constrained quadratic, quadratic decreasing and gamma lag shapes are available.
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <alessandro.magrini@for.unipi.it>

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Package taxlist updated to version 0.1.1 with previous version 0.1.0 dated 2017-06-14

Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented in the summary-methods.
Author: Miguel Alvarez <kamapu78@gmail.com>
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

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Package wgeesel updated to version 1.4 with previous version 1.3 dated 2017-05-25

Title: Weighted Generalized Estimating Equations and Model Selection
Description: Weighted generalized estimating equations (WGEE) is an extension of generalized linear models to longitudinal clustered data by incorporating the correlation within-cluster when data is missing at random (MAR). The parameters in mean, scale correlation structures are estimated based on quasi-likelihood. Multiple model selection criterion are provided for selection of mean model and working correlation structure based on WGEE/GEE.
Author: Cong Xu <congxu17@gmail.com>, Zheng Li <zheng.li@outlook.com>, Ming Wang <mwang@phs.psu.edu>
Maintainer: Zheng Li <zheng.li@outlook.com>

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New package tfruns with initial version 0.9
Package: tfruns
Type: Package
Title: Training Run Directories for 'TensorFlow'
Version: 0.9
Authors@R: c( person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"), person(family = "RStudio", role = c("cph", "fnd")) )
Description: Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, timestamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.
License: Apache License 2.0
URL: https://github.com/rstudio/tfruns
BugReports: https://github.com/rstudio/tfruns/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-23 00:53:32 UTC; jjallaire
Author: JJ Allaire [aut, cre], RStudio [cph, fnd]
Maintainer: JJ Allaire <jj@rstudio.com>
Repository: CRAN
Date/Publication: 2017-07-23 08:54:19 UTC

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Package pdfetch updated to version 0.2.2 with previous version 0.2.1 dated 2017-04-19

Title: Fetch Economic and Financial Time Series Data from Public Sources
Description: Download economic and financial time series from public sources, including the St Louis Fed's FRED system, Yahoo Finance, the US Bureau of Labor Statistics, the US Energy Information Administration, the World Bank, Eurostat, the European Central Bank, the Bank of England, the UK's Office of National Statistics, Deutsche Bundesbank, and INSEE.
Author: Abiel Reinhart <abielr@gmail.com>
Maintainer: Abiel Reinhart <abielr@gmail.com>

Diff between pdfetch versions 0.2.1 dated 2017-04-19 and 0.2.2 dated 2017-07-23

 DESCRIPTION                 |   16 +-
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 man/pdfetch_BUNDESBANK.Rd   |    1 
 man/pdfetch_ECB.Rd          |    1 
 man/pdfetch_EIA.Rd          |    1 
 man/pdfetch_EUROSTAT.Rd     |    1 
 man/pdfetch_EUROSTAT_DSD.Rd |    1 
 man/pdfetch_FRED.Rd         |    1 
 man/pdfetch_INSEE.Rd        |    1 
 man/pdfetch_ONS.Rd          |    1 
 man/pdfetch_WB.Rd           |    1 
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Package hisse updated to version 1.8.4 with previous version 1.8.2 dated 2017-04-04

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut]
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

Diff between hisse versions 1.8.2 dated 2017-04-04 and 1.8.4 dated 2017-07-23

 DESCRIPTION                                   |   14 
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 R/hisseNull4.R                                |   23 
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 man/plotHisse.Rd                              |    2 
 man/simToPhylo.Rd                             |    2 
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 38 files changed, 731 insertions(+), 375 deletions(-)

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