Sun, 03 Jun 2018

Package tsDyn updated to version 0.9-48 with previous version 0.9-46 dated 2018-01-22

Title: Nonlinear Time Series Models with Regime Switching
Description: Implements nonlinear autoregressive (AR) time series models. For univariate series, a non-parametric approach is available through additive nonlinear AR. Parametric modeling and testing for regime switching dynamics is available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with two or three regimes. Tests can be conducted for TVAR as well as for TVECM (Hansen and Seo 2002 and Seo 2006).
Author: Antonio Fabio Di Narzo [aut], Jose Luis Aznarte [ctb], Matthieu Stigler [aut, cre]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

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Package SQRL updated to version 0.4.0 with previous version 0.3.0 dated 2018-04-16

Title: Database Query Interfaces
Description: An 'RODBC' wrapper, for exploratory work and rapid prototyping. Supports parameterised, multi-statement, 'SQL' scripts, with embedded 'R'.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

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Package RxODE updated to version 0.7.2-2 with previous version 0.7.2-1 dated 2018-05-19

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation (ODE) models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The VODE and LSODA are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut], Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Justin Wilkins [ctb], Simon Frost [ctb], Heng Li [ctb], Yu Feng [ctb], Alan Hindmarsh [ctb], Linda Petzold [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], J Colinge [ctb], Hadley Wickham [ctb], G Grothendieck [ctb], Robert Gentleman [ctb], Ross Ihaka [ctb], R core team [cph], odepack authors [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package rgdal updated to version 1.3-1 with previous version 1.2-20 dated 2018-05-07

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. Use is made of classes defined in the 'sp' package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4' and 'Expat') are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package hergm updated to version 3.2-1 with previous version 3.2-0 dated 2018-04-18

Title: Hierarchical Exponential-Family Random Graph Models
Description: Hierarchical exponential-family random graph models with local dependence.
Author: Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [ctb], Pamela Luna <pamela.luna@rice.edu> [ctb]
Maintainer: Michael Schweinberger <michael.schweinberger@rice.edu>

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Package cardidates updated to version 0.4.8 with previous version 0.4.7 dated 2015-09-06

Title: Identification of Cardinal Dates in Ecological Time Series
Description: Identification of cardinal dates (begin, time of maximum, end of mass developments) in ecological time series using fitted Weibull functions.
Author: Susanne Rolinski [aut], René Sachse [aut], Thomas Petzoldt [aut, cre]
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

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Package marelac updated to version 2.1.9 with previous version 2.1.6 dated 2016-09-19

Title: Tools for Aquatic Sciences
Description: Datasets, constants, conversion factors, and utilities for 'MArine', 'Riverine', 'Estuarine', 'LAcustrine' and 'Coastal' science. The package contains among others: (1) chemical and physical constants and datasets, e.g. atomic weights, gas constants, the earths bathymetry; (2) conversion factors (e.g. gram to mol to liter, barometric units, temperature, salinity); (3) physical functions, e.g. to estimate concentrations of conservative substances, gas transfer and diffusion coefficients, the Coriolis force and gravity; (4) thermophysical properties of the seawater, as from the UNESCO polynomial or from the more recent derivation based on a Gibbs function.
Author: Karline Soetaert [aut, cre], Thomas Petzoldt [aut], Filip Meysman [cph], Lorenz Meire [cph]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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Package GPM updated to version 1.0.1 with previous version 1.0 dated 2018-01-05

Title: Gaussian Process Modeling of Multi-Response Datasets
Description: Provides a general and efficient tool for fitting a response surface to datasets via Gaussian processes. The dataset can have multiple responses and the fitted GP model can predict the gradient as well. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S. Y., Apley, D. W. & Chen, W. (2018) Leveraging the nugget parameter for efficient Gaussian process modeling. International Journal for Numerical Methods in Engineering, 114, 501-516.
Author: Ramin Bostanabad
Maintainer: Ramin Bostanabad <bostanabad@u.northwestern.edu>

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Package smooth updated to version 2.4.4 with previous version 2.4.3 dated 2018-05-06

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes Exponential Smoothing, SARIMA, Complex Exponential Smoothing, Simple Moving Average, Vector Exponential Smoothing in state space forms, several simulation functions and intermittent demand state space models.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package radir updated to version 1.0.3 with previous version 1.0.2 dated 2017-01-16

Title: Inverse-Regression Estimation of Radioactive Doses
Description: Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015). A new inverse regression model applied to radiation biodosimetry. Proceedings of the Royal Society A, 471.
Author: David Moriña (Centre for Research in Environmental Epidemiology, CREAL), Manuel Higueras (Universitat Autònoma de Barcelona and Public Health England) and Pedro Puig (Universitat Autònoma de Barcelona)
Maintainer: David Moriña Soler <david.morina@uab.cat>

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Package simsem updated to version 0.5-14 with previous version 0.5-13 dated 2016-06-13

Title: SIMulated Structural Equation Modeling
Description: Provides an easy framework for Monte Carlo simulation in structural equation modeling, which can be used for various purposes, such as such as model fit evaluation, power analysis, or missing data handling and planning.
Author: Terrence D. Jorgensen [aut, cre], Sunthud Pornprasertmanit [aut], Patrick Miller [aut], Alexander Schoemann [aut], Corbin Quick [ctb]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>

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Package mokken updated to version 2.8.11 with previous version 2.8.10 dated 2018-01-28

Title: Conducts Mokken Scale Analysis
Description: Contains functions for performing Mokken scale analysis on test and questionnaire data (e.g., Sijtsma and Van der Ark, 2017, <doi:10.1111/bmsp.12078>). It includes an automated item selection algorithm, and various checks of model assumptions.
Author: L. Andries van der Ark [aut, cre], J. Hendrik Straat [aut], Letty Koopman [aut]
Maintainer: L. Andries van der Ark <L.A.vanderArk@uva.nl>

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Package live updated to version 1.5.7 with previous version 1.5.4 dated 2018-05-13

Title: Local Interpretable (Model-Agnostic) Visual Explanations
Description: Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>. More details can be found in Staniak, Biecek (2018) <arXiv:1804.01955>.
Author: Mateusz Staniak [cre, aut], Przemysław Biecek [aut]
Maintainer: Mateusz Staniak <mateusz.staniak@math.uni.wroc.pl>

Diff between live versions 1.5.4 dated 2018-05-13 and 1.5.7 dated 2018-06-03

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Package lessR updated to version 3.7.5 with previous version 3.7.4 dated 2018-05-25

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package ibmdbR updated to version 1.50.0 with previous version 1.49.0 dated 2017-07-19

Title: IBM in-Database Analytics for R
Description: Functionality required to efficiently use R with IBM(R) Db2(R) Warehouse offerings (formerly IBM dashDB(R)) and IBM Db2 for z/OS(R) in conjunction with IBM Db2 Analytics Accelerator for z/OS. Many basic and complex R operations are pushed down into the database, which removes the main memory boundary of R and allows to make full use of parallel processing in the underlying database.
Author: Toni Bollinger [aut, cre], Alexander Eckert [aut], Michael Wurst [aut], Craig Blaha [ctb] (documentation), IBM Corporation [cph]
Maintainer: Toni Bollinger <db2-analytics@de.ibm.com>

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Package excerptr updated to version 1.4.1 with previous version 1.4.0 dated 2017-11-30

Title: Excerpt Structuring Comments from Your Code File and Set a Table of Contents
Description: This is an R interface to the python package 'excerpts' (<https://pypi.python.org/pypi/excerpts>).
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <adc-r@arcor.de>

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Package RedditExtractoR updated to version 2.1.2 with previous version 2.0.2 dated 2015-12-05

Title: Reddit Data Extraction Toolkit
Description: A collection of tools for extracting structured data from Reddit.
Author: Ivan Rivera <ivan.s.rivera@gmail.com>
Maintainer: Ivan Rivera <ivan.s.rivera@gmail.com>

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Package kSamples updated to version 1.2-8 with previous version 1.2-7 dated 2017-08-13

Title: K-Sample Rank Tests and their Combinations
Description: Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
Author: Fritz Scholz [aut, cre], Angie Zhu [aut]
Maintainer: Fritz Scholz <fscholz@u.washington.edu>

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Package eigenmodel updated to version 1.10 with previous version 1.01 dated 2012-03-23

Title: Semiparametric Factor and Regression Models for Symmetric Relational Data
Description: Estimation of the parameters in a model for symmetric relational data (e.g., the above-diagonal part of a square matrix), using a model-based eigenvalue decomposition and regression. Missing data is accommodated, and a posterior mean for missing data is calculated under the assumption that the data are missing at random. The marginal distribution of the relational data can be arbitrary, and is fit with an ordered probit specification. See Hoff (2007) <arXiv:0711.1146> for details on the model.
Author: Peter Hoff
Maintainer: Peter Hoff <peter.hoff@duke.edu>

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Package ctmcd updated to version 1.3.5 with previous version 1.3 dated 2018-06-01

Title: Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data
Description: Functions for estimating Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal adjustment, weighted adjustment and quasi-optimization of matrix logarithm based candidate solutions, an expectation-maximization algorithm as well as a Gibbs sampler.
Author: Marius Pfeuffer [aut,cre], Greig Smith [ctb], Goncalo dos Reis [ctb]
Maintainer: Marius Pfeuffer <marius.pfeuffer@fau.de>

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Package usmap updated to version 0.3.0 with previous version 0.2.1 dated 2017-08-15

Title: US Maps Including Alaska and Hawaii
Description: Obtain United States map data frames of varying region types (e.g. county, state). The map data frames include Alaska and Hawaii conveniently placed to the bottom left, as they appear in most maps of the US. Convenience functions for plotting choropleths and working with FIPS codes are also provided.
Author: Paolo Di Lorenzo [aut, cre]
Maintainer: Paolo Di Lorenzo <paolo@dilorenzo.pl>

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Package simecol updated to version 0.8-12 with previous version 0.8-11 dated 2018-05-08

Title: Simulation of Ecological (and Other) Dynamic Systems
Description: An object oriented framework to simulate ecological (and other) dynamic systems. It can be used for differential equations, individual-based (or agent-based) and other models as well. It supports structuring of simulation scenarios (to avoid copy and paste) and aims to improve readability and re-usability of code.
Author: Thomas Petzoldt
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

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Package quickmapr updated to version 0.3.0 with previous version 0.2.0 dated 2016-09-16

Title: Quickly Map and Explore Spatial Data
Description: While analyzing geospatial data, easy visualization is often needed that allows for quick plotting, and simple, but easy interactivity. Additionally, visualizing geospatial data in projected coordinates is also desirable. The 'quickmapr' package provides a simple method to visualize 'sp', 'sf' (via coercion to 'sp'), and 'raster' objects, allows for basic zooming, panning, identifying,labeling, selecting, and measuring spatial objects. Importantly, it does not require that the data be in geographic coordinates.
Author: Jeffrey W. Hollister [aut, cre]
Maintainer: Jeffrey W. Hollister <hollister.jeff@epa.gov>

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Package extracat updated to version 1.7-5 with previous version 1.7-4 dated 2015-11-21

Title: Categorical Data Analysis and Visualization
Description: Categorical Data Analysis and Visualization.
Author: Alexander Pilhoefer <alexander.pilhoefer@gmail.com>
Maintainer: Alexander Pilhoefer <alexander.pilhoefer@gmail.com>

Diff between extracat versions 1.7-4 dated 2015-11-21 and 1.7-5 dated 2018-06-03

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Package odkr (with last version 0.2.0) was removed from CRAN

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

2018-06-03 0.2.0
2018-02-09 0.1.3

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Package odkr updated to version 0.2.0 with previous version 0.1.3 dated 2018-02-09

Title: 'Open Data Kit' ('ODK') R API
Description: Utility functions for working with datasets gathered using 'Open Data Kit' ('ODK') <https://opendatakit.org/>. These include an API to interface with 'ODK Briefcase', a 'Java' application for fetching and pushing 'ODK' forms and their contents, that allows pulling of data from either a remote 'ODK Aggregate Server' or a local 'ODK' folder, a rename function to give more human readable variable names for 'ODK' datasets, a merge function to create a single dataframe from a nested 'ODK' dataset and an expand function to disaggregate multiple choice answers that have been collapsed into single code by 'ODK'.
Author: Ernest Guevarra [aut, cre, cph] (<https://orcid.org/0000-0002-4887-4415>), Laura Bramley [aut, cph], Valid International [cph]
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>

Diff between odkr versions 0.1.3 dated 2018-02-09 and 0.2.0 dated 2018-06-03

 DESCRIPTION                       |   35 ++++++++++++++-------------
 LICENSE                           |    2 -
 MD5                               |   46 +++++++++++++++++++----------------
 NAMESPACE                         |    3 ++
 NEWS.md                           |   28 +++++++++++++++++----
 R/export_data.R                   |   49 ++++++++++++++++++++++++++++----------
 R/get_briefcase.R                 |   29 +++++++++++++++++++++-
 R/get_help.R                      |   21 ++++++++++++++--
 R/odkr.R                          |   40 +++++++++++++++++++++----------
 R/pull_local.R                    |   48 ++++++++++++++++++++++++++++---------
 R/pull_remote.R                   |   43 +++++++++++++++++++++++++++------
 R/push_data.R                     |only
 README.md                         |   21 ++++++++++++----
 man/export_data.Rd                |    7 +++--
 man/figures                       |only
 man/get_help.Rd                   |    1 
 man/odkr.Rd                       |    7 ++---
 man/pull_local.Rd                 |    8 +++---
 man/pull_remote.Rd                |    7 +++--
 man/push_data.Rd                  |only
 man/sampleData2.Rd                |   12 ++++++---
 man/sampleData3.Rd                |   12 ++++++---
 tests/testthat/test_export_data.R |   38 ++++++++++++++++++++++++++++-
 tests/testthat/test_pull_local.R  |   28 +++++++++++++++++++++
 tests/testthat/test_pull_remote.R |   36 +++++++++++++++++++++++++++
 tests/testthat/test_push_data.R   |only
 26 files changed, 404 insertions(+), 117 deletions(-)

More information about odkr at CRAN
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