Sun, 12 Feb 2017

Package startup updated to version 0.5.0 with previous version 0.4.0 dated 2016-12-22

Title: Friendly R Startup Configuration
Description: Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between startup versions 0.4.0 dated 2016-12-22 and 0.5.0 dated 2017-02-12

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Package RcppTOML updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-05

Title: 'Rcpp' Bindings to Parser for Tom's Obvious Markup Language
Description: The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://github.com/toml-lang/toml>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect the 'cpptoml' parser written by Chase Geigle (in modern C++11) to R.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppTOML versions 0.1.0 dated 2017-01-05 and 0.1.1 dated 2017-02-12

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Package randomNames updated to version 0.4-0 with previous version 0.2-0 dated 2016-09-09

Title: Function for Generating Random Names and a Dataset
Description: Function for generating random gender and ethnicity correct first and/or last names. Names are chosen proportionally based upon their probability of appearing in a large scale data base of real names.
Author: Damian W. Betebenner <dbetebenner@nciea.org>
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between randomNames versions 0.2-0 dated 2016-09-09 and 0.4-0 dated 2017-02-12

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Package vistime updated to version 0.3.0 with previous version 0.2.0 dated 2017-01-30

Title: Pretty Timeline Creation
Description: Create timelines or Gantt charts, offline and interactive, that are usable in the 'RStudio' viewer pane, in 'R Markdown' documents and in 'Shiny' apps using 'plotly.js', a high-level, declarative charting library (see https://plot.ly/javascript/). Hover the mouse pointer over a point or task to show details or drag a rectangle to zoom in. Timelines (and the data behind them) can be manipulated using 'plotly_build()' or, once uploaded to a 'plotly' account, viewed and modified in a web browser.
Author: Sandro Raabe [aut, cre]
Maintainer: Sandro Raabe <shosaco_nospam@hotmail.com>

Diff between vistime versions 0.2.0 dated 2017-01-30 and 0.3.0 dated 2017-02-12

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Package seasonal updated to version 1.5.1 with previous version 1.5.0 dated 2017-02-12

Title: R Interface to X-13-ARIMA-SEATS
Description: Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment software by the US Census Bureau. It offers full access to almost all options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model search, outlier detection and support for user defined holiday variables, such as Chinese New Year or Indian Diwali. A graphical user interface can be used through the 'seasonalview' package. Uses the X-13-binaries from the 'x13binary' package.
Author: Christoph Sax
Maintainer: Christoph Sax <christoph.sax@gmail.com>

Diff between seasonal versions 1.5.0 dated 2017-02-12 and 1.5.1 dated 2017-02-12

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Package reproducer updated to version 0.1.8 with previous version 0.1.7 dated 2017-01-31

Title: Reproduce Statistical Analyses and Meta-Analyses
Description: Includes data analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for ABBA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram), and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi-site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.
Author: Lech Madeyski [cre, aut, ctb], Marian Jureczko [ctb] (Data contributor), Barbara Kitchenham [ctb] (Data and code contributor), David Budgen [ctb] (Data contributor), Pearl Brereton [ctb] (Data contributor), Jacky Keung [ctb] (Data contributor), Stuart Charters [ctb] (Data contributor), Shirley Gibbs [ctb] (Data contributor), Amnart Pohthong [ctb] (Data contributor)
Maintainer: Lech Madeyski <lech.madeyski@gmail.com>

Diff between reproducer versions 0.1.7 dated 2017-01-31 and 0.1.8 dated 2017-02-12

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New package plotrr with initial version 0.2.0
Package: plotrr
Type: Package
Title: Making Visual Exploratory Data Analysis Easier
Version: 0.2.0
Authors@R: c(person("Charles", "Crabtree", role = c("aut", "cre"), email = "ccrabtr@umich.edu"), person("Michael J.", "Nelson", role = c("aut")))
Description: Functions for making visual exploratory data analysis easier.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, dplyr, stats
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2017-02-12 18:35:12 UTC; cdcrabtree
Author: Charles Crabtree [aut, cre], Michael J. Nelson [aut]
Maintainer: Charles Crabtree <ccrabtr@umich.edu>
Repository: CRAN
Date/Publication: 2017-02-12 20:48:32

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New package HRQoL with initial version 1.0
Package: HRQoL
Title: Health Related Quality of Life Analysis
Version: 1.0
Author: Josu Najera-Zuloaga <jnajera@bcamath.org>, Dae-Jin Lee <dlee@bcamath.org>, Inmaculada Arostegui <inmaculada.arostegui@ehu.es>
Maintainer: Josu Najera-Zuloaga <jnajera@bcamath.org>
Description: Offers tools and modelling approaches for binomial data with overdispersion, with particular interest in Health Related Quality of Life (HRQoL) questionnaires regression analysis.
License: GPL
Imports: fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv, Matrix
Packaged: 2017-02-11 12:34:44 UTC; root
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-02-12 20:52:16

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Package mazeGen updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-05

Title: Elithorn Maze Generator
Description: A maze generator that creates the Elithorn Maze (HTML file) and the functions to calculate the associated maze parameters (i.e. Difficulty and Ability).
Author: Bao Sheng Loe (Aiden) [aut,cre,cph], Maria Sanchez[ctb]
Maintainer: Bao Sheng Loe (Aiden) <bsl28@cam.ac.uk>

Diff between mazeGen versions 0.1.0 dated 2017-01-05 and 0.1.1 dated 2017-02-12

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Package GDINA updated to version 1.2.1 with previous version 1.2.0 dated 2017-01-28

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnostic analyses for both dichotomous and polytomous responses. Various cognitive diagnosis models can be estimated, include the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7>, the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070>, and many other models they subsume. Joint attribute distribution can be saturated, higher-order or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided.
Author: Wenchao Ma [aut, cre], Jimmy de la Torre [aut]
Maintainer: Wenchao Ma <wenchao.ma@rutgers.edu>

Diff between GDINA versions 1.2.0 dated 2017-01-28 and 1.2.1 dated 2017-02-12

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Package dynBiplotGUI updated to version 1.1.5 with previous version 1.1.4 dated 2017-01-17

Title: Full Interactive GUI for Dynamic Biplot in R
Description: A GUI to solve dynamic biplots and classical biplot. Try matrices of 2-way and 3-way. The GUI can be run in multiple languages.
Author: Jaime Egido [aut, cre]
Maintainer: Jaime Egido <jegido@usal.es>

Diff between dynBiplotGUI versions 1.1.4 dated 2017-01-17 and 1.1.5 dated 2017-02-12

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Package AIG updated to version 0.1.1 with previous version 0.1.0 dated 2016-12-19

Title: Automatic Item Generator
Description: A collection of Automatic Item Generators used mainly for psychological research. This package can generate linear syllogistic reasoning items and arithmetic items. It is recommended for research purpose only.
Author: Bao Sheng Loe (Aiden)
Maintainer: Bao Sheng Loe (Aiden) <bsl28@cam.ac.uk>

Diff between AIG versions 0.1.0 dated 2016-12-19 and 0.1.1 dated 2017-02-12

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Package fma updated to version 2.3 with previous version 2.2 dated 2016-06-05

Title: Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)
Description: All data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (Wiley, 3rd ed., 1998).
Author: Rob J Hyndman <Rob.Hyndman@monash.edu>
Maintainer: Rob J Hyndman <Rob.Hyndman@monash.edu>

Diff between fma versions 2.2 dated 2016-06-05 and 2.3 dated 2017-02-12

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Package dtwclust updated to version 3.1.1 with previous version 3.1.0 dated 2017-01-08

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

Diff between dtwclust versions 3.1.0 dated 2017-01-08 and 3.1.1 dated 2017-02-12

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Package synthACS updated to version 1.0.1 with previous version 1.0.0 dated 2016-09-14

Title: Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data
Description: Firstly provides a wrapper to library(acs) to access curated set of American Community Survey (ACS) base tables which may be of interest to many researchers. Secondly, it builds synthetic micro-datasets of ACS data at any specified geographic level with 10 default individual attributes. Thirdly, provides functionality for data-extensibility of micro-datasets; allowing users to both add data attributes and marginalize undesired attributes. And finally, the package also conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default.
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex@gmail.com>

Diff between synthACS versions 1.0.0 dated 2016-09-14 and 1.0.1 dated 2017-02-12

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Package seasonal updated to version 1.5.0 with previous version 1.4.0 dated 2016-12-23

Title: R Interface to X-13-ARIMA-SEATS
Description: Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment software by the US Census Bureau. It offers full access to almost all options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model search, outlier detection and support for user defined holiday variables, such as Chinese New Year or Indian Diwali. A graphical user interface can be used through the 'seasonalview' package. Uses the X-13-binaries from the 'x13binary' package.
Author: Christoph Sax
Maintainer: Christoph Sax <christoph.sax@gmail.com>

Diff between seasonal versions 1.4.0 dated 2016-12-23 and 1.5.0 dated 2017-02-12

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Package BDgraph updated to version 2.33 with previous version 2.32 dated 2017-01-09

Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Description: Provides statistical tools for Bayesian structure learning in undirected graphical models with both continuous and discrete variables.
Author: Abdolreza Mohammadi and Ernst Wit
Maintainer: Abdolreza Mohammadi <a.mohammadi@rug.nl>

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Package purge updated to version 0.2.1 with previous version 0.2.0 dated 2015-10-28

Title: Purge Training Data from Models
Description: Enables the removal of training data from fitted R models while retaining predict functionality. The purged models are more portable as their memory footprints do not scale with the training sample size.
Author: Marc Maier [cre], Chaoqun Jia [ctb], MassMutual Advanced Analytics [aut] (http://datascience.massmutual.com)
Maintainer: Marc Maier <mmaier@massmutual.com>

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Package NNS updated to version 0.2.6 with previous version 0.2.5 dated 2017-01-10

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 <viole.nawrocki@gmail.com>

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Package missDeaths updated to version 2.1 with previous version 2.0 dated 2017-02-05

Title: Simulating and Analyzing Time to Event Data in the Presence of Population Mortality
Description: Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence. Also includes a powerful set of object oriented survival data simulation functions.
Author: Tomaz Stupnik [aut, cre], Maja Pohar Perme [ctb]
Maintainer: Tomaz Stupnik <tomaz.stupnik@guest.arnes.si>

Diff between missDeaths versions 2.0 dated 2017-02-05 and 2.1 dated 2017-02-12

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Package imputeMulti updated to version 0.6.4 with previous version 0.6.3 dated 2016-08-11

Title: Imputation Methods for Multivariate Multinomial Data
Description: Implements imputation methods using EM and Data Augmentation for multinomial data following the work of Schafer 1997 <ISBN: 978-0-412-04061-0>.
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex@gmail.com>

Diff between imputeMulti versions 0.6.3 dated 2016-08-11 and 0.6.4 dated 2017-02-12

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New package fmbasics with initial version 0.1.0
Package: fmbasics
Type: Package
Title: Financial Market Building Blocks
Version: 0.1.0
Author: Imanuel Costigan <i.costigan@me.com>
Maintainer: Imanuel Costigan <i.costigan@me.com>
Description: Implements basic financial market objects like currencies, currency pairs, interest rates and interest rate indices. You will be able to use Benchmark instances of these objects which have been defined using their most common conventions or those defined by International Swap Dealer Association (ISDA, <http://www2.isda.org>) legal documentation.
License: GPL-2
Imports: fmdates (>= 0.1.2), assertthat, lubridate (>= 1.6.0)
Suggests: testthat, knitr, rmarkdown, covr
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/imanuelcostigan/fmbasics
BugReports: https://github.com/imanuelcostigan/fmbasics/issues
NeedsCompilation: no
Packaged: 2017-02-11 23:38:27 UTC; imanuel
Repository: CRAN
Date/Publication: 2017-02-12 08:31:05

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New package DClusterm with initial version 0.1
Package: DClusterm
Type: Package
Title: Model-Based Detection of Disease Clusters
Version: 0.1
Date: 2017-02-10
Author: Virgilio Gomez-Rubio, Paula Esther Moraga Serrano, Barry Rowlingson
Maintainer: Virgilio Gomez-Rubio <virgilio.gomez@uclm.es>
Depends: R (>= 2.10), parallel, sp, spacetime, DCluster
Suggests: INLA
Imports: methods, xts, lme4, pscl, RColorBrewer, gridExtra, latticeExtra
Description: Model-based methods for the detection of disease clusters using GLMs, GLMMs and zero-inflated models.
Additional_repositories: https://www.math.ntnu.no/inla/R/stable
License: GPL-3
LazyLoad: yes
LazyData: yes
Collate: 'Functions1PAU.R' 'Functions2PAU.R' 'glm.isclusterPAU.R' 'knutils.R'
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-11 16:50:49 UTC; virgil
Repository: CRAN
Date/Publication: 2017-02-12 08:31:01

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New package BaTFLED3D with initial version 0.1.7
Package: BaTFLED3D
Title: Bayesian Tensor Factorization Linked to External Data
Version: 0.1.7
Authors@R: person("Nathan", "Lazar", email = "nathan.lazar@gmail.com", role = c("aut", "cre"))
Description: BaTFLED is a machine learning algorithm designed to make predictions and determine interactions in data that varies along three independent modes. For example BaTFLED was developed to predict the growth of cell lines when treated with drugs at different doses. The first mode corresponds to cell lines and incorporates predictors such as cell line genomics and growth conditions. The second mode corresponds to drugs and incorporates predictors indicating known targets and structural features. The third mode corresponds to dose and there are no dose-specific predictors (although the algorithm is capable of including predictors for the third mode if present). See 'BaTFLED3D_vignette.rmd' for a simulated example.
Depends: R (>= 3.2.2)
License: CC BY-NC-SA 4.0
LazyData: true
RoxygenNote: 5.0.1
Collate: 'diagnostics.R' 'CP_model.R' 'Tucker_model.R' 'exp_var.R' 'get_data_params.R' 'get_influence.R' 'get_model_params.R' 'im_2_mat.R' 'im_mat.R' 'input_data.R' 'kernelize.R' 'lower_bnd_Tucker.R' 'lower_bnd_CP.R' 'mk_model.R' 'mk_toy.R' 'mult_3d.R' 'plot_preds.R' 'plot_roc.R' 'plot_test_RMSE.R' 'plot_test_cor.R' 'plot_test_exp_var.R' 'rmse.R' 'rot.R' 'safe_log.R' 'safe_prod.R' 'show_mat.R' 'test.R' 'test_CP.R' 'test_Tucker.R' 'test_results.R' 'train.R' 'train_CP.R' 'train_Tucker.R' 'update_core_Tucker.R' 'update_mode1_Tucker.R' 'update_mode2_Tucker.R' 'update_mode3_Tucker.R' 'update_mode1_CP.R' 'update_mode2_CP.R' 'update_mode3_CP.R'
Imports: foreach, R6, iterators, rTensor, RColorBrewer
Suggests: doMC, doParallel, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-11 19:13:28 UTC; nathan
Author: Nathan Lazar [aut, cre]
Maintainer: Nathan Lazar <nathan.lazar@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-12 08:30:57

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