Mon, 07 Mar 2016

Package scrubr updated to version 0.1.1 with previous version 0.1.0 dated 2016-03-04

Title: Clean Biological Occurrence Records
Description: Clean biological occurrence records. Includes functionality for cleaning based on various aspects of spatial coordinates, unlikely values due to political 'centroids', coordinates based on where collections of specimens are held, and more.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between scrubr versions 0.1.0 dated 2016-03-04 and 0.1.1 dated 2016-03-07

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 MD5                           |   42 ++++++++++++++++++++++++------------------
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 NEWS.md                       |    8 ++++++++
 R/coord-funs.R                |   10 +++++++---
 R/dedup.R                     |    2 +-
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Package OmicKriging updated to version 1.4.0 with previous version 1.3 dated 2014-06-18

Title: Poly-Omic Prediction of Complex TRaits
Description: It provides functions to generate a correlation matrix from a genetic dataset and to use this matrix to predict the phenotype of an individual by using the phenotypes of the remaining individuals through kriging. Kriging is a geostatistical method for optimal prediction or best unbiased linear prediction. It consists of predicting the value of a variable at an unobserved location as a weighted sum of the variable at observed locations. Intuitively, it works as a reverse linear regression: instead of computing correlation (univariate regression coefficients are simply scaled correlation) between a dependent variable Y and independent variables X, it uses known correlation between X and Y to predict Y.
Author: Hae Kyung Im, Heather E. Wheeler, Keston Aquino Michaels, Vassily Trubetskoy
Maintainer: Hae Kyung Im <haky@uchicago.edu>

Diff between OmicKriging versions 1.3 dated 2014-06-18 and 1.4.0 dated 2016-03-07

 DESCRIPTION                   |   19 ++++++-------
 MD5                           |   32 +++++++++++-----------
 NAMESPACE                     |   12 +++++++-
 R/correlation_matrices.R      |    7 ++++
 R/input_pheno_GT.R            |    6 ----
 R/omic_KRIGR.R                |   60 ++++++------------------------------------
 README.md                     |    8 +++--
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Package LinkedMatrix updated to version 1.1.0 with previous version 1.0.0 dated 2015-10-22

Title: Column-Linked and Row-Linked Matrices
Description: Matrices implemented as collections of matrix-like nodes, linked by columns or rows.
Author: Gustavo de los Campos [aut], Alexander Grueneberg [aut, cre]
Maintainer: Alexander Grueneberg <alexander.grueneberg@googlemail.com>

Diff between LinkedMatrix versions 1.0.0 dated 2015-10-22 and 1.1.0 dated 2016-03-07

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 LinkedMatrix-1.1.0/LinkedMatrix/R/RowLinkedMatrix.R                         |  141 +++-
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Package GMDH updated to version 1.3 with previous version 1.2 dated 2015-12-28

Title: Short Term Forecasting via GMDH-Type Neural Network Algorithms
Description: Group method of data handling (GMDH) - type neural network algorithm is the heuristic self-organization method for modelling the complex systems. In this package, GMDH-type neural network algorithms are applied to make short term forecasting for a univariate time series.
Author: Osman Dag, Ceylan Yozgatligil
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between GMDH versions 1.2 dated 2015-12-28 and 1.3 dated 2016-03-07

 DESCRIPTION   |    8 +-
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 NAMESPACE     |    6 -
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 man/GMDH.Rd   |    4 -
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 7 files changed, 208 insertions(+), 37 deletions(-)

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New package genie with initial version 1.0.0
Package: genie
Type: Package
Title: A New, Fast, and Outlier Resistant Hierarchical Clustering Algorithm
Version: 1.0.0
Date: 2016-03-07
Authors@R: c( person("Marek", "Gagolewski", role = c("aut", "cre"), email = "gagolews@rexamine.com"), person("Maciej", "Bartoszuk", role = "aut", email = "bartoszuk@rexamine.com"), person("Anna", "Cena", role = "aut", email = "cena@rexamine.com") )
Description: A new hierarchical clustering linkage criterion: the Genie algorithm links two clusters in such a way that a chosen economic inequity measure (e.g., the Gini index) of the cluster sizes does not increase drastically above a given threshold. Benchmarks indicate a high practical usefulness of the introduced method: it most often outperforms the Ward or average linkage in terms of the clustering quality while retaining the single linkage speed.
License: GPL (>= 3)
Depends: R (>= 3.1.0), stats
Imports: Rcpp (>= 0.12.0)
Suggests: datasets, testthat, stringi
LinkingTo: Rcpp (>= 0.12.0)
SystemRequirements: OpenMP, C++11
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-07 15:59:02 UTC; gagolews
Author: Marek Gagolewski [aut, cre], Maciej Bartoszuk [aut], Anna Cena [aut]
Maintainer: Marek Gagolewski <gagolews@rexamine.com>
Repository: CRAN
Date/Publication: 2016-03-07 23:24:16

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Package FCNN4R updated to version 0.6.1 with previous version 0.6.0 dated 2015-12-31

Title: Fast Compressed Neural Networks for R
Description: Provides an interface to kernel routines from the FCNN C++ library. FCNN is based on a completely new Artificial Neural Network representation that offers unmatched efficiency, modularity, and extensibility. FCNN4R provides standard teaching (backpropagation, Rprop, simulated annealing, stochastic gradient) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon), but it is first and foremost an efficient computational engine. Users can easily implement their algorithms by taking advantage of fast gradient computing routines, as well as network reconstruction functionality (removing weights and redundant neurons, reordering inputs, merging networks). Networks can be exported to C functions in order to integrate them into virtually any software solution.
Author: Grzegorz Klima <gklima@users.sourceforge.net>
Maintainer: Grzegorz Klima <gklima@users.sourceforge.net>

Diff between FCNN4R versions 0.6.0 dated 2015-12-31 and 0.6.1 dated 2016-03-07

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 FCNN4R-0.6.1/FCNN4R/NAMESPACE                 |    1 
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 FCNN4R-0.6.1/FCNN4R/R/mlp_net.R               |   72 ++++++++++++++++----------
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 38 files changed, 156 insertions(+), 143 deletions(-)

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Package diseasemapping updated to version 1.4.0 with previous version 1.2.7 dated 2015-11-09

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA.
Author: Patrick Brown <patrick.brown@utoronto.ca>
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between diseasemapping versions 1.2.7 dated 2015-11-09 and 1.4.0 dated 2016-03-07

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New package condformat with initial version 0.2.0
Package: condformat
Type: Package
Title: Conditional Formatting in Data Frames
Version: 0.2.0
Date: 2016-03-06
Authors@R: person("Sergio", c("Oller", "Moreno"), email = "sergioller@gmail.com", role = c("aut", "cph", "cre"))
URL: http://github.com/zeehio/condformat
BugReports: http://github.com/zeehio/condformat/issues
Description: Apply and visualize conditional formatting to data frames in R. It presents a data frame as an HTML table with cells CSS formatted according to criteria defined by rules, using a syntax similar to 'ggplot2'. The table is printed either opening a web browser or within the 'RStudio' viewer if available. The conditional formatting rules allow to highlight cells matching a condition or add a gradient background to a given column based on a column values.
License: BSD_3_clause + file LICENSE
LazyData: TRUE
NeedsCompilation: no
Imports: htmlTable, scales, dplyr, assertthat, lazyeval, knitr
Suggests: testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Packaged: 2016-03-07 14:05:54 UTC; soller
Author: Sergio Oller Moreno [aut, cph, cre]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-07 23:25:48

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New package compareDF with initial version 1.0.0
Package: compareDF
Type: Package
Title: Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure
Version: 1.0.0
Date: 2016-03-05
Authors@R: person("Alex", "Joseph", email = "alexsanjoseph@gmail.com", role = c("aut", "cre"))
Description: Compares two dataframes which have the same column structure to show the rows that have changed. Also gives a git style diff format to quickly see what has changes in addition to summary statistics.
License: MIT + file LICENSE
Depends: R (>= 3.0.0)
Imports: dplyr (>= 0.4.3), tidyr (>= 0.4.1)
Suggests: htmlTable (>= 1.5), testthat
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-07 11:58:46 UTC; alexsanjoseph
Author: Alex Joseph [aut, cre]
Maintainer: Alex Joseph <alexsanjoseph@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-08 00:20:18

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New package braidrm with initial version 0.71
Package: braidrm
Type: Package
Title: Fitting Dose Response with the BRAID Combined Action Model
Version: 0.71
Date: 2016-03-07
Author: Nathaniel R. Twarog
Maintainer: Nathaniel R. Twarog <nathaniel.twarog@stjude.org>
Depends: stats
Description: Contains functions for evaluating, analyzing, and fitting combined action dose response surfaces with the Bivariate Response to Additive Interacting Dose (BRAID) model of combined action.
License: GPL (>= 3)
Packaged: 2016-03-07 20:36:10 UTC; ntwarog
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-08 00:13:04

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Package archivist updated to version 2.0.3 with previous version 2.0.2 dated 2016-03-04

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut], Witold Chodor [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between archivist versions 2.0.2 dated 2016-03-04 and 2.0.3 dated 2016-03-07

 DESCRIPTION           |    6 +++---
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 NAMESPACE             |    1 +
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 5 files changed, 19 insertions(+), 14 deletions(-)

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Package archiDART updated to version 1.4 with previous version 1.3 dated 2016-03-06

Title: Plant Root System Architecture Analysis Using DART and RSML Files
Description: Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) "DART: a software to analyse root system architecture and development from captured images", Plant and Soil, <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language: toward a unified root architecture description language", Plant Physiology, <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al (2016) "archiDART: an R package for the automated computation of plant root architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.
Author: Benjamin M Delory, Caroline Baudson, Yves Brostaux, Guillaume Lobet, Patrick du Jardin, Loic Pages, Pierre Delaplace
Maintainer: Benjamin M Delory <Benjamin.Delory@leuphana.de>

Diff between archiDART versions 1.3 dated 2016-03-06 and 1.4 dated 2016-03-07

 DESCRIPTION |   10 +++++-----
 MD5         |    2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

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Package sparkTable updated to version 1.2.0 with previous version 1.1.0 dated 2015-11-11

Title: Sparklines and Graphical Tables for TeX and HTML
Description: Create sparklines and graphical tables for documents and websites.
Author: Alexander Kowarik, Bernhard Meindl, Matthias Templ
Maintainer: Alexander Kowarik <alexander.kowarik@statistik.gv.at>

Diff between sparkTable versions 1.1.0 dated 2015-11-11 and 1.2.0 dated 2016-03-07

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
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 3 files changed, 11 insertions(+), 11 deletions(-)

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New package svmadmm with initial version 0.1
Package: svmadmm
Title: Linear/Nonlinear SVM Classification Solver Based on ADMM and IADMM Algorithms
Version: 0.1
Author: Ben DAI <bendai2-c@my.cityu.edu.hk>; Junhui Wang <j.h.wang@cityu.edu.hk>
Maintainer: Ben DAI <bendai2-c@my.cityu.edu.hk>
Description: Solve large-scale regularised linear/kernel classification by using ADMM and IADMM algorithms. This package provides linear L2-regularised primal classification (both ADMM and IADMM are available), kernel L2-regularised dual classification (IADMM) as well as L1-regularised primal classification (both ADMM and IADMM are available).
Depends: R (>= 3.2.2), kernlab
License: GPL-2
LazyData: true
Repository: CRAN
NeedsCompilation: yes
Packaged: 2016-03-07 12:17:44 UTC; ben
Date/Publication: 2016-03-07 22:28:51

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New package soql with initial version 0.1
Package: soql
Type: Package
Title: Helps Make Socrata Open Data API Calls
Version: 0.1
Date: 2016-03-06
Suggests: magrittr
Author: Zeb Burke-Conte
Maintainer: "Zeb Burke-Conte" <zmbc@uw.edu>
Description: Used to construct the URLs and parameters of 'Socrata Open Data API' <https://dev.socrata.com> calls, using the API's 'SoQL' parameter format. Has method-chained and sensical syntax. Plays well with pipes.
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2016-03-07 16:52:06 UTC; Zeb
Repository: CRAN
Date/Publication: 2016-03-07 22:30:49

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Package RNeXML updated to version 2.0.6 with previous version 2.0.5 dated 2015-12-30

Title: Semantically Rich I/O for the 'NeXML' Format
Description: Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Author: Carl Boettiger [cre, aut], Scott Chamberlain [aut], Hilmar Lapp [aut], Kseniia Shumelchyk [aut], Rutger Vos [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between RNeXML versions 2.0.5 dated 2015-12-30 and 2.0.6 dated 2016-03-07

 DESCRIPTION        |    8 ++++----
 MD5                |   12 ++++++------
 NEWS               |    5 +++++
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 R/nexml_write.R    |    2 +-
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Package marked updated to version 1.1.11 with previous version 1.1.10 dated 2015-08-20

Title: Mark-Recapture Analysis for Survival and Abundance Estimation
Description: Functions for fitting various models to capture-recapture data including fixed and mixed-effects Cormack-Jolly-Seber(CJS) for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. Includes a CJS models that concurrently estimates and corrects for tag loss. Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty.
Author: Jeff Laake <jeff.laake@noaa.gov>, Devin Johnson <devin.johnson@noaa.gov>, Paul Conn <paul.conn@noaa.gov>
Maintainer: Jeff Laake <Jeff.Laake@noaa.gov>

Diff between marked versions 1.1.10 dated 2015-08-20 and 1.1.11 dated 2016-03-07

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Package immer updated to version 0.4-0 with previous version 0.3-0 dated 2016-01-22

Title: Item Response Models for Multiple Ratings
Description: Implements some item response models for multiple ratings, including the hierarchical rater model, conditional maximum likelihood estimation of linear logistic partial credit model and a wrapper function to the commercial FACETS program.
Author: Alexander Robitzsch [aut, cre], Jan Steinfeld [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between immer versions 0.3-0 dated 2016-01-22 and 0.4-0 dated 2016-03-07

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Package forecTheta updated to version 2.1 with previous version 2.0 dated 2016-03-02

Title: Forecasting Time Series by Theta Models
Description: Routines for forecasting univariate time series using Theta Models. Contains several cross-validation routines.
Author: Jose Augusto Fiorucci, Francisco Louzada and Bao Yiqi
Maintainer: Jose Augusto Fiorucci <jafiorucci@gmail.com>

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Package ComICS updated to version 1.0.3 with previous version 1.0.2 dated 2016-01-28

Title: Computational Methods for Immune Cell-Type Subsets
Description: Provided are Computational methods for Immune Cell-type Subsets, including:(1) DCQ (Digital Cell Quantifier) to infer global dynamic changes in immune cell quantities within a complex tissue; and (2) VoCAL (Variation of Cell-type Abundance Loci) a deconvolution-based method that utilizes transcriptome data to infer the quantities of immune-cell types, and then uses these quantitative traits to uncover the underlying DNA loci.
Author: Yael Steuerman [aut, cre], Irit Gat-Viks [aut]
Maintainer: Yael Steuerman <yaelsteu@mail.tau.ac.il>

Diff between ComICS versions 1.0.2 dated 2016-01-28 and 1.0.3 dated 2016-03-07

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Package cit updated to version 2.0 with previous version 1.9 dated 2016-01-10

Title: Causal Inference Test
Description: A likelihood-based hypothesis testing approach is implemented for assessing causal mediation. For example, it could be used to test for mediation of a known causal association between a DNA variant, the 'instrumental variable', and a clinical outcome or phenotype by gene expression or DNA methylation, the potential mediator. Another example would be testing mediation of the effect of a drug on a clinical outcome by the molecular target. The hypothesis test generates a p-value or permutation-based FDR value with confidence intervals to quantify uncertainty in the causal inference. The outcome can be represented by either a continuous or binary variable, the potential mediator is continuous, and the instrumental variable can be continuous or binary and is not limited to a single variable but may be a design matrix representing multiple variables.
Author: Joshua Millstein
Maintainer: Joshua Millstein <joshua.millstein@usc.edu>

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Package ccaPP updated to version 0.3.2 with previous version 0.3.1 dated 2015-11-11

Title: (Robust) Canonical Correlation Analysis via Projection Pursuit
Description: Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and non-parametric methods.
Author: Andreas Alfons [aut, cre], David Simcha [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

Diff between ccaPP versions 0.3.1 dated 2015-11-11 and 0.3.2 dated 2016-03-07

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Package DataCombine updated to version 0.2.19 with previous version 0.2.18 dated 2015-12-24

Title: Tools for Easily Combining and Cleaning Data Sets
Description: Tools for combining and cleaning data sets, particularly with grouped and time series data.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between DataCombine versions 0.2.18 dated 2015-12-24 and 0.2.19 dated 2016-03-07

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Package ViSiElse updated to version 1.0.1 with previous version 1.0.0 dated 2016-01-12

Title: A Visual Tool for Behaviour Analysis
Description: A graphical tool designed to visualize and to give an overview of behavioural observations realized on individuals or groups. ViSiElse allows visualization of raw data during experimental observations of the realization of a procedure. It graphically presents an overview of individuals and group actions usually acquired from timestamps during video recorded sessions. Options of the package allow adding graphical information as statistical indicators (mean, standard deviation, quantile or statistical test) but also for each action green or black zones providing visual information about the accuracy of the realized actions.
Author: Nastasia Fouret [aut, cre, cph], Mederic Descoins [aut, cph], CEPOI - EA 7388 [cph]
Maintainer: Nastasia Fouret <nastasia.fouret@chu-reunion.fr>

Diff between ViSiElse versions 1.0.0 dated 2016-01-12 and 1.0.1 dated 2016-03-07

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Package ssym updated to version 1.5.5 with previous version 1.5.4 dated 2015-10-22

Title: Fitting Semi-Parametric log-Symmetric Regression Models
Description: Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.
Author: Luis Hernando Vanegas <hvanegasp@gmail.com> and Gilberto A. Paula
Maintainer: Luis Hernando Vanegas <hvanegasp@gmail.com>

Diff between ssym versions 1.5.4 dated 2015-10-22 and 1.5.5 dated 2016-03-07

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Package rEDM updated to version 0.4.5 with previous version 0.4.4 dated 2016-03-05

Title: Applications of Empirical Dynamic Modeling from Time Series
Description: Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) <DOI:10.1038/344734a0> and the S-map algorithm in Sugihara (1994) <DOI:10.1098/rsta.1994.0106>. In addition, this package implements convergent cross mapping as described by Sugihara et al. (2012) <DOI:10.1126/science.1227079>.
Author: Hao Ye, Adam Clark, Ethan Deyle
Maintainer: Hao Ye <hye@ucsd.edu>

Diff between rEDM versions 0.4.4 dated 2016-03-05 and 0.4.5 dated 2016-03-07

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Package modes updated to version 0.7.0 with previous version 0.6.1 dated 2016-02-06

Title: Find the Modes and Assess the Modality of Complex and Mixture Distributions, Especially with Big Datasets
Description: Designed with a dual purpose of accurately estimating the mode (or modes) as well as characterizing the modality of data. The specific application area includes complex or mixture distributions particularly in a big data environment. The heterogeneous nature of (big) data may require deep introspective statistical and machine learning techniques, but these statistical tools often fail when applied without first understanding the data. In small datasets, this often isn't a big issue, but when dealing with large scale data analysis or big data thoroughly inspecting each dimension typically yields an O(n^n-1) problem. As such, dealing with big data require an alternative toolkit. This package not only identifies the mode or modes for various data types, it also provides a programmatic way of understanding the modality (i.e. unimodal, bimodal, etc.) of a dataset (whether it's big data or not). See <http://www.sdeevi.com/modes_package> for examples and discussion.
Author: Sathish Deevi [aut, cre], 4D Strategies [aut,own]
Maintainer: Sathish Deevi <SathishCDeevi@gmail.com>

Diff between modes versions 0.6.1 dated 2016-02-06 and 0.7.0 dated 2016-03-07

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Package mirt updated to version 1.16 with previous version 1.15 dated 2016-01-21

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.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.15 dated 2016-01-21 and 1.16 dated 2016-03-07

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Package dpmr updated to version 0.1.9 with previous version 0.1.7-1 dated 2015-05-22

Title: Data Package Manager for R
Description: Create, install, and summarise data packages that follow the Open Knowledge Foundation's Data Package Protocol.
Author: Christopher Gandrud [aut, cre], Yann-Ael Le Borgne [ctb]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between dpmr versions 0.1.7-1 dated 2015-05-22 and 0.1.9 dated 2016-03-07

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Package DescTools updated to version 0.99.16 with previous version 0.99.15 dated 2015-10-25

Title: Tools for Descriptive Statistics
Description: A collection of basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell. Includes R source code and/or documentation previously published by (in alphabetical order): Ken Aho, Nanina Anderegg, Tomas Aragon, Antti Arppe, Adrian Baddeley, Ben Bolker, Frederico Caeiro, Stephane Champely, Daniel Chessel, Leanne Chhay, Clint Cummins, Michael Dewey, Harold C. Doran, Stephane Dray, Charles Dupont, Dirk Eddelbuettel, Jeff Enos, Claus Ekstrom, Martin Elff, Kamil Erguler, Richard W. Farebrother, John Fox, Michael Friendly, Tal Galili, Matthias Gamer, Joseph L. Gastwirth, Yulia R. Gel, Juergen Gross, Gabor Grothendieck, Frank E. Harrell Jr, Richard Heiberger, Michael Hoehle, Christian W. Hoffmann, Torsten Hothorn, Markus Huerzeler, Wallace W. Hui, Pete Hurd, Rob J. Hyndman, Pablo J. Villacorta Iglesias, Matthias Kohl, Mikko Korpela, Max Kuhn, Detlew Labes, Friederich Leisch, Jim Lemon, Dong Li, Martin Maechler, Arni Magnusson, Daniel Malter, George Marsaglia, John Marsaglia, Alina Matei, David Meyer, Weiwen Miao, Giovanni Millo, Yongyi Min, David Mitchell, Markus Naepflin, Daniel Navarro, Klaus Nordhausen, Derek Ogle, Hong Ooi, Nick Parsons, Sandrine Pavoine, Tony Plate, Roland Rapold, William Revelle, Tyler Rinker, Brian D. Ripley, Caroline Rodriguez, Venkatraman E. Seshan, Greg Snow, Michael Smithson, Werner A. Stahel, Mark Stevenson, Terry Therneau, Yves Tille, Adrian Trapletti, Kevin Ushey, Jeremy VanDerWal, Bill Venables, John Verzani, Gregory R. Warnes, Stefan Wellek, Rand R. Wilcox, Peter Wolf, Daniel Wollschlaeger, Thomas Yee, Achim Zeileis
Maintainer: Andri Signorell <andri@signorell.net>

Diff between DescTools versions 0.99.15 dated 2015-10-25 and 0.99.16 dated 2016-03-07

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Package conformal updated to version 0.2 with previous version 0.1 dated 2015-01-21

Title: Conformal Prediction for Regression and Classification
Description: Implementation of conformal prediction using caret models for classification and regression.
Author: Isidro Cortes <isidrolauscher@gmail.com>
Maintainer: Isidro Cortes <isidrolauscher@gmail.com>

Diff between conformal versions 0.1 dated 2015-01-21 and 0.2 dated 2016-03-07

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Package cdfquantreg updated to version 1.0.3 with previous version 1.0.2 dated 2016-02-06

Title: Quantile Regression for Random Variables on the Unit Interval
Description: Employs a two-parameter family of distributions for modelling random variables on the (0, 1) interval by applying the cumulative distribution function (cdf) of one parent distribution to the quantile function of another.
Author: Yiyun Shou [aut, cre], Michael Smithson [aut]
Maintainer: Yiyun Shou <yiyun.shou@anu.edu.au>

Diff between cdfquantreg versions 1.0.2 dated 2016-02-06 and 1.0.3 dated 2016-03-07

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Package assertive.types updated to version 0.0-2 with previous version 0.0-1 dated 2015-10-06

Title: Assertions to Check Types of Variables
Description: A set of predicates and assertions for checking the types of variables. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.types versions 0.0-1 dated 2015-10-06 and 0.0-2 dated 2016-03-07

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