Mon, 25 Jul 2016

Package vcfR updated to version 1.2.0 with previous version 1.1.0 dated 2016-05-26

Title: Manipulate and Visualize VCF Data
Description: Facilitates easy manipulation of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices of data. This information can then be used for quality control or other purposes. Additional functions provide visualization of genomic data. Once processing is complete data may be written to a VCF file (*.vcf.gz). It also may be converted into other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between VCF data and familiar R software.
Author: Brian J. Knaus [cre, aut], Niklaus J. Grunwald [aut], Eric C. Anderson [ctb], David J. Winter [ctb]
Maintainer: Brian J. Knaus <briank.lists@gmail.com>

Diff between vcfR versions 1.1.0 dated 2016-05-26 and 1.2.0 dated 2016-07-25

 DESCRIPTION                        |    6 -
 MD5                                |   95 ++++++++++----------
 NAMESPACE                          |    1 
 R/AllClass.R                       |    4 
 R/RcppExports.R                    |   10 ++
 R/addID.R                          |   18 ++-
 R/chromo_plot.R                    |    3 
 R/create_chromR.R                  |    2 
 R/extract_gt.R                     |   21 ++--
 R/heatmap_bp.R                     |   13 +-
 R/io_vcfR.R                        |   10 +-
 R/vcfR_conversion.R                |    5 +
 R/vcfR_to_tidy_functions.R         |   90 ++++++++++++++-----
 README.md                          |   35 +++++--
 inst/CITATION                      |    7 -
 inst/doc/converting_data.R         |    5 +
 inst/doc/converting_data.Rmd       |   15 +++
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 inst/doc/filtering_data.html       |  138 ++++++++++++++++-------------
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 inst/doc/ranking_data.html         |  174 ++++++++++++++++++++-----------------
 inst/doc/sequence_coverage.R       |    5 +
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 man/addID.Rd                       |   14 ++
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New package jacpop with initial version 0.5
Package: jacpop
Type: Package
Title: Jaccard Index for Population Structure Identification
Description: Uses the Jaccard similarity index to account for population structure in sequencing studies. This method was specifically designed to detect population stratification based on rare variants, hence it will be especially useful in rare variant analysis.
Version: 0.5
Author: Dmitry Prokopenko
Maintainer: Dmitry Prokopenko <dmitry.prokopenko@uni-bonn.de>
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-25 22:22:57 UTC; Dmitry
Repository: CRAN
Date/Publication: 2016-07-26 02:11:59

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New package Infusion with initial version 1.0.0
Package: Infusion
Type: Package
Title: Inference Using Simulation
Description: Implements functions for simulation-based inference. In particular, implements functions to perform likelihood inference from data summaries whose distributions are simulated.
Encoding: UTF-8
Version: 1.0.0
Date: 2016-07-26
Imports: spaMM (>= 1.9.14), proxy, geometry, Matrix, rcdd, blackbox, mvtnorm, Rmixmod (>= 2.0.4), methods, numDeriv, viridis
Suggests: ks, mclust, caret, testthat
Depends: R (>= 3.1.0)
Authors@R: c(person("François", "Rousset", role = c("aut", "cre", "cph"), email = "francois.rousset@umontpellier.fr"))
Maintainer: François Rousset <francois.rousset@umontpellier.fr>
License: CeCILL-2
URL: http://www.r-project.org, http://kimura.univ-montp2.fr/~rousset/Infusion.htm
NeedsCompilation: no
Packaged: 2016-07-25 22:29:40 UTC; rousset
Author: François Rousset [aut, cre, cph]
Repository: CRAN
Date/Publication: 2016-07-26 02:19:40

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Package DDRTree updated to version 0.1.4 with previous version 0.1.3 dated 2016-02-02

Title: Learning Principal Graphs with DDRTree
Description: Project data into a reduced dimensional space and construct a principal graph from the reduced dimension.
Author: Xiaojie Qiu, Cole Trapnell, Qi Mao, Li Wang
Maintainer: Xiaojie Qiu <xqiu@uw.edu>

Diff between DDRTree versions 0.1.3 dated 2016-02-02 and 0.1.4 dated 2016-07-25

 DESCRIPTION     |    6 +++---
 MD5             |    4 ++--
 src/DDRTree.cpp |    2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

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Package boral updated to version 1.0.1 with previous version 1.0 dated 2016-06-17

Title: Bayesian Ordination and Regression AnaLysis
Description: Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via JAGS. Three types of models may be fitted: 1) With explanatory variables only, boral fits independent column GLMs to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.
Author: Francis K.C. Hui
Maintainer: Francis Hui <fhui28@gmail.com>

Diff between boral versions 1.0 dated 2016-06-17 and 1.0.1 dated 2016-07-25

 DESCRIPTION           |    8 ++++----
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 R/boral.jags.R        |    5 ++++-
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 5 files changed, 18 insertions(+), 12 deletions(-)

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New package timevis with initial version 0.1
Package: timevis
Title: Create Interactive Timeline Visualizations in R
Version: 0.1
Authors@R: c( person("Dean", "Attali", email = "daattali@gmail.com", role = c("aut", "cre"), comment = "R interface"), person(family = "Almende B.V.", role = c("aut", "cph"), comment = "vis.js library, http://visjs.org, http://www.almende.com/home") )
Description: Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio Viewer. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline module and the 'htmlwidgets' R package.
URL: https://github.com/daattali/timevis, http://daattali.com/shiny/timevis-demo/
BugReports: https://github.com/daattali/timevis/issues
Depends: R (>= 3.1.0)
Imports: htmltools (>= 0.2.6), htmlwidgets (>= 0.6), jsonlite, rmarkdown, shiny
Suggests: knitr (>= 1.7), testthat (>= 0.9.1),
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-25 17:14:09 UTC; Dean
Author: Dean Attali [aut, cre] (R interface), Almende B.V. [aut, cph] (vis.js library, http://visjs.org, http://www.almende.com/home)
Maintainer: Dean Attali <daattali@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-25 22:49:33

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New package ph2bye with initial version 0.1.1
Package: ph2bye
Type: Package
Title: Phase II Clinical Trial Design Using Bayesian Methods
Version: 0.1.1
Author: Yalin Zhu
Maintainer: Yalin Zhu <yalin.zhu@outlook.com><yalin.zhu@regeneron.com>
Description: Calculate the Bayesian posterior/predictive probability and determine the sample size and stopping boundaries for single-arm Phase II design.
License: GPL (>= 2)
LazyData: TRUE
Depends: stats, graphics, animation
Imports: base, ph2bayes, VGAM
Suggests: clinfun, gsDesign, survival
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-25 14:25:37 UTC; yalin.zhu
Repository: CRAN
Date/Publication: 2016-07-25 22:44:05

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Package VCA updated to version 1.3.2 with previous version 1.3.1 dated 2016-04-04

Title: Variance Component Analysis
Description: ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.
Author: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

Diff between VCA versions 1.3.1 dated 2016-04-04 and 1.3.2 dated 2016-07-25

 DESCRIPTION                     |   10 
 MD5                             |  128 ++++-----
 NAMESPACE                       |    7 
 R/plot.R                        |  250 ++++++++++++++++--
 R/vca.R                         |  534 +++++++++++++++++++++++++++++++---------
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 inst/UnitTests/runit.anovaMM.R  |   16 +
 inst/UnitTests/runit.anovaVCA.R |   13 
 inst/UnitTests/runit.misc.R     |  152 +++++++++++
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 inst/UnitTests/runit.remlVCA.R  |   77 ++++-
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 66 files changed, 1614 insertions(+), 667 deletions(-)

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Package texmexseq updated to version 0.3 with previous version 0.2 dated 2016-05-26

Title: Treatment Effect eXplorer for Microbial Ecology eXperiments (using Sequence Counts)
Description: Analysis and visualization of community dynamics in microbial ecology experiments (that use sequence count data) using the truncated Poisson lognormal distribution.
Author: Scott Olesen
Maintainer: Scott Olesen <swo@mit.edu>

Diff between texmexseq versions 0.2 dated 2016-05-26 and 0.3 dated 2016-07-25

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 NAMESPACE                 |    3 ++-
 R/session.R               |   14 ++++++--------
 README.md                 |    3 +++
 demo/demo.R               |    2 +-
 man/z-transform-sample.Rd |   23 ++++++++++++++---------
 7 files changed, 38 insertions(+), 30 deletions(-)

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Package runjags updated to version 2.0.4-2 with previous version 2.0.3-2 dated 2016-03-31

Title: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
Description: User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.
Author: Matthew Denwood [aut, cre], Martyn Plummer [cph] (Copyright holder of the code in /src/distributions/jags, src/distributions/DPar1.*, configure.ac, and original copyright holder of some modified code where indicated)
Maintainer: Matthew Denwood <md@sund.ku.dk>

Diff between runjags versions 2.0.3-2 dated 2016-03-31 and 2.0.4-2 dated 2016-07-25

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 runjags-2.0.4-2/runjags/R/mutate.functions.R        |    4 
 runjags-2.0.4-2/runjags/R/print.methods.R           |    2 
 runjags-2.0.4-2/runjags/R/read.jagsfile.R           |    6 
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 runjags-2.0.4-2/runjags/R/runjags.summaries.R       |    2 
 runjags-2.0.4-2/runjags/R/summary.R                 |   19 ++
 runjags-2.0.4-2/runjags/R/template.jags.R           |   22 ++-
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Package longpower updated to version 1.0-16 with previous version 1.0-15 dated 2016-05-17

Title: Sample Size Calculations for Longitudinal Data
Description: The longpower package contains functions for computing power and sample size for linear models of longitudinal data based on the formula due to Liu and Liang (1997) and Diggle et al (2002). Either formula is expressed in terms of marginal model or Generalized Estimating Equations (GEE) parameters. This package contains functions which translate pilot mixed effect model parameters (e.g. random intercept and/or slope) into marginal model parameters so that the formulas of Diggle et al or Liu and Liang formula can be applied to produce sample size calculations for two sample longitudinal designs assuming known variance.
Author: Michael C. Donohue, Anthony C. Gamst, Steven D. Edland
Maintainer: Michael C. Donohue <mdonohue@usc.edu>

Diff between longpower versions 1.0-15 dated 2016-05-17 and 1.0-16 dated 2016-07-25

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Package ifaTools updated to version 0.11 with previous version 0.10 dated 2016-05-16

Title: Toolkit for Item Factor Analysis with OpenMx
Description: Tools, tutorials, and demos of Item Factor Analysis using OpenMx.
Author: Joshua N. Pritikin [cre, aut]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between ifaTools versions 0.10 dated 2016-05-16 and 0.11 dated 2016-07-25

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Package HK80 updated to version 0.0.2 with previous version 0.0.1 dated 2014-05-02

Title: Conversion Tools for HK80 Geographical Coordinate System
Description: This is a collection of functions for converting coordinates between WGS84UTM, WGS84GEO, HK80UTM, HK80GEO and HK1980GRID Coordinate Systems used in Hong Kong SAR, based on the algorithms described in Explanatory Notes on Geodetic Datums in Hong Kong by Survey and Mapping Office Lands Department, Hong Kong Government (1995).
Author: Jinlong Zhang [aut, cre]
Maintainer: Jinlong Zhang <jinlongzhang01@gmail.com>

Diff between HK80 versions 0.0.1 dated 2014-05-02 and 0.0.2 dated 2016-07-25

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 34 files changed, 151 insertions(+), 111 deletions(-)

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Package frailtypack updated to version 2.9.4 with previous version 2.9.3.1 dated 2016-07-08

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. Prediction values are available. Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Agnieszka Krol, Amadou Diakite, Alexandre Laurent and Myriam Lopez
Maintainer: Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>

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Package equateIRT updated to version 2.0-1 with previous version 2.0 dated 2016-03-30

Title: Direct, Chain and Average Equating Coefficients with Standard Errors Using IRT Methods
Description: Computation of direct, chain and average (bisector) equating coefficients with standard errors using Item Response Theory (IRT) methods for dichotomous items. Test scoring can be performed by true score equating and observed score equating methods.
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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Package ddalpha updated to version 1.2.0 with previous version 1.1.3.1 dated 2015-07-24

Title: Depth-Based Classification and Calculation of Data Depth
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
Author: Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut]
Maintainer: Oleksii Pokotylo <alexey.pokotylo@gmail.com>

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Package CORElearn updated to version 1.48.0 with previous version 1.47.1 dated 2015-09-04

Title: Classification, Regression and Feature Evaluation
Description: This is a suite of machine learning algorithms written in C++ with R interface. It contains several machine learning model learning techniques in classification and regression, for example classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with ExplainPrediction package. The package is especially strong in feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, and DKM. These methods can be used for example to discretize numeric attributes. Its additional feature is OrdEval algorithm and its visualization used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. Several algorithms support parallel multithreaded execution via OpenMP. The top-level documentation is reachable through ?CORElearn.
Author: Marko Robnik-Sikonja and Petr Savicky with contributions from John Adeyanju Alao
Maintainer: "Marko Robnik-Sikonja" <marko.robnik@fri.uni-lj.si>

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Package condformat updated to version 0.4.0 with previous version 0.2.0 dated 2016-03-07

Title: Conditional Formatting in Data Frames
Description: Apply and visualize conditional formatting to data frames in R. It renders a data frame with cells 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. This package supports both 'HTML' and 'LaTeX' outputs in 'knitr' reports, and exporting to an 'xlsx' file.
Author: Sergio Oller Moreno [aut, cph, cre]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>

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Package Chaos01 updated to version 1.0.1 with previous version 1.0.0 dated 2016-07-18

Title: 0-1 Test for Chaos
Description: Computes and plot the results of the 0-1 test for chaos proposed by Gottwald and Melbourne (2004) <DOI:10.1137/080718851>. The algorithm is available in parallel for the independent values of parameter c.
Author: Tomas Martinovic [aut, cre]
Maintainer: Tomas Martinovic <tomas.martinovic@vsb.cz>

Diff between Chaos01 versions 1.0.0 dated 2016-07-18 and 1.0.1 dated 2016-07-25

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Package CALF updated to version 0.1.3 with previous version 0.1.2 dated 2016-03-25

Title: Coarse Approximation Linear Function
Description: Contains a greedy algorithm for coarse approximation linear function.
Author: Stephanie Lane [aut, cre], Clark Jeffries [aut], Diana Perkins [aut]
Maintainer: Stephanie Lane <slane@unc.edu>

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Package BacArena updated to version 1.5.1 with previous version 1.5.0 dated 2016-07-14

Title: Modeling Framework for Cellular Communities in their Environments
Description: Can be used for simulation of organisms living in communities. Each organism is represented individually and genome scale metabolic models determine the uptake and release of compounds. Biological processes such as movement, diffusion, chemotaxis and kinetics are available along with data analysis techniques.
Author: Eugen Bauer [aut], Johannes Zimmermann [aut, cre]
Maintainer: Johannes Zimmermann <j.zimmermann@iem.uni-kiel.de>

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New package bigReg with initial version 0.1.2
Package: bigReg
Type: Package
Title: Generalized Linear Models (GLM) for Large Data Sets
Version: 0.1.2
Date: 2016-07-23
Author: Chibisi Chima-Okereke <chibisi@active-analytics.com>
Maintainer: Chibisi Chima-Okereke <chibisi@active-analytics.com>
Description: Allows the user to carry out GLM on very large data sets. Data can be created using the data_frame() function and appended to the object with object$append(data); data_frame and data_matrix objects are available that allow the user to store large data on disk. The data is stored as doubles in binary format and any character columns are transformed to factors and then stored as numeric (binary) data while a look-up table is stored in a separate .meta_data file in the same folder. The data is stored in blocks and GLM regression algorithm is modified and carries out a MapReduce- like algorithm to fit the model. The functions bglm(), and summary() and bglm_predict() are available for creating and post-processing of models. The library requires Armadillo installed on your system. It probably won't function on windows since multi-core processing is done using mclapply() which forks R on Unix/Linux type operating systems.
License: GPL (>= 2)
Depends: R (>= 3.2.0), Rcpp (>= 0.12.3), parallel, methods, stats, uuid (>= 0.1-2), MASS (>= 7.3-39)
LinkingTo: Rcpp, RcppArmadillo (>= 0.5.200.1.0)
OS_type: unix
Collate: 'RcppExports.R' 'data_frame.r' 'data_matrix.r' 'family.r' 'map_reg.r'
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-07-25 09:31:12 UTC; chib
Repository: CRAN
Date/Publication: 2016-07-25 19:16:58

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New package MSCMT with initial version 1.0.0
Package: MSCMT
Type: Package
Version: 1.0.0
Date: 2016-07-25
Title: Multivariate Synthetic Control Method Using Time Series
Authors@R: c(person("Martin","Becker", role = c("aut","cre"), email = "martin.becker@mx.uni-saarland.de"), person("Stefan","Kloessner", role = c("aut"), email = "S.Kloessner@mx.uni-saarland.de"), person("Karline","Soetaert", role = c("com"), email = "karline.soetaert@nioz.nl"), person("LAPACK authors", role = "cph"))
Depends: R (>= 3.0.0)
Imports: stats, utils, optimx, lpSolve, parallel, DEoptim, rgenoud, ggplot2
Suggests: Synth, knitr, rmarkdown
Description: Multivariate Synthetic Control Method Using Time Series. Two generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency.
License: GPL
Copyright: inst/COPYRIGHTS
LazyData: yes
RoxygenNote: 5.0.1
VignetteBuilder: knitr
BuildVignettes: yes
NeedsCompilation: yes
Packaged: 2016-07-25 06:20:22 UTC; mabe003
Author: Martin Becker [aut, cre], Stefan Kloessner [aut], Karline Soetaert [com], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>
Repository: CRAN
Date/Publication: 2016-07-25 15:15:12

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Package mvst updated to version 1.0.1 with previous version 1.0 dated 2016-07-20

Title: Bayesian Inference for the Multivariate Skew-t Model
Description: Estimates the multivariate skew-t and nested models, as described in the articles Liseo, B., Parisi, A. (2013). Bayesian inference for the multivariate skew-normal model: a population Monte Carlo approach. Comput. Statist. Data Anal. <doi:10.1016/j.csda.2013.02.007> and in Parisi, A., Liseo, B. Objective Bayesian analysis for the multivariate skew-t model (to appear).
Author: Antonio Parisi [aut, cre], Brunero Liseo [aut], Dirk Eddelbuettel [ctb], Romain Francois [ctb]
Maintainer: Antonio Parisi <antonio.parisi@uniroma2.it>

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Package jomo updated to version 2.2-0 with previous version 2.1-2 dated 2016-04-04

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables and the option to use cluster-specific covariance matrices.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

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 man/jomo1rancat.Rd             |    6 +-
 man/jomo1rancathr.MCMCchain.Rd |    4 -
 man/jomo1rancathr.Rd           |    6 +-
 man/jomo1rancon.MCMCchain.Rd   |    4 -
 man/jomo1rancon.Rd             |    6 +-
 man/jomo1ranconhr.MCMCchain.Rd |    4 -
 man/jomo1ranconhr.Rd           |    6 +-
 man/jomo1ranmix.MCMCchain.Rd   |    4 -
 man/jomo1ranmix.Rd             |    6 +-
 man/jomo1ranmixhr.MCMCchain.Rd |    4 -
 man/jomo1ranmixhr.Rd           |    6 +-
 man/jomo2.MCMCchain.Rd         |    4 -
 man/jomo2.Rd                   |    6 +-
 man/jomo2com.MCMCchain.Rd      |    4 -
 man/jomo2com.Rd                |    6 +-
 man/jomo2hr.MCMCchain.Rd       |    4 -
 man/jomo2hr.Rd                 |    6 +-
 src/MCMCjomo1ranconhr.c        |   37 ++++----------
 src/MCMCjomo1ranmixhr.c        |   40 +++++----------
 src/MCMCjomo2hr.c              |   40 +++++----------
 src/jomo1ranconhr.c            |   41 +++++----------
 src/jomo1ranmixhr.c            |   40 +++++----------
 src/jomo2hr.c                  |   40 +++++----------
 src/pdflib.c                   |   58 +++++++++++++++-------
 src/pdflib.h                   |   10 +--
 55 files changed, 300 insertions(+), 344 deletions(-)

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New package wordcloud2 with initial version 0.2.0
Package: wordcloud2
Type: Package
Title: Create Word Cloud by htmlWidget
Version: 0.2.0
Author: Dawei Lang
Description: A fast visualization tool for creating wordcloud by using wordcloud2.js.
License: GPL-2
Depends: R (>= 3.1.0)
LazyData: TRUE
VignetteBuilder: knitr
Imports: htmlwidgets, base64enc, grDevices, graphics
Suggests: knitr
Enhances: shiny (>= 0.12)
URL: https://github.com/lchiffon/wordcloud2
BugReports: https://github.com/lchiffon/wordcloud2/issues
Maintainer: Dawei Lang <chiffonlang@icloud.com>
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-25 02:03:03 UTC; dawei_lang
Repository: CRAN
Date/Publication: 2016-07-25 09:56:48

More information about wordcloud2 at CRAN
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Package r.jive updated to version 1.7 with previous version 1.5 dated 2016-06-14

Title: Perform JIVE Decompositions for Multi-Source Data
Description: Performs the JIVE decompositions on a list of data sets when the data share a dimension, returning low-rank matrices that capture the joint and individual structure of the data. It provides two methods of rank selection when the rank is unknown, a permutation test and a BIC selection algorithm. Also included in the package are three plotting functions for visualizing the variance attributed to each data source: a bar plot that shows the percentages of the variability attributable to joint and individual structure, a heatmap that shows the structure of the variability, and principal component plots.
Author: Michael J. O'Connell and Eric F. Lock
Maintainer: Michael J. O'Connell <oconn725@umn.edu>

Diff between r.jive versions 1.5 dated 2016-06-14 and 1.7 dated 2016-07-25

 DESCRIPTION                    |    8 ++++----
 MD5                            |   32 ++++++++++++++++----------------
 R/jive.r                       |   28 ++++++++++++++++------------
 R/showHeatmaps.r               |   24 +++++++++++++++---------
 R/showPCA.r                    |    4 ++--
 inst/doc/BRCA_Example.Rmd      |   25 ++++++++++++-------------
 inst/doc/BRCA_Example.html     |   26 +++++++++++++-------------
 man/jive.Rd                    |    7 +++++--
 man/r.jive-package.Rd          |    4 ++--
 man/showHeatmaps.Rd            |    2 +-
 man/showPCA.Rd                 |    6 +++++-
 vignettes/BRCA_Example.Rmd     |   25 ++++++++++++-------------
 vignettes/HeatmapIndivMeth.png |binary
 vignettes/HeatmapsBRCA.png     |binary
 vignettes/JointPCA.png         |binary
 vignettes/MorePCA.png          |binary
 vignettes/VarExplained.png     |binary
 17 files changed, 103 insertions(+), 88 deletions(-)

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Package gesca updated to version 1.0.3 with previous version 1.0.2 dated 2016-05-04

Title: Generalized Structured Component Analysis (GSCA)
Description: Fit a variety of component-based structural equation models.
Author: Heungsun Hwang, Sunmee Kim, Sungyoung Lee, Taesung Park
Maintainer: Sunmee Kim <sunmee.kim@mail.mcgill.ca>

Diff between gesca versions 1.0.2 dated 2016-05-04 and 1.0.3 dated 2016-07-25

 DESCRIPTION     |    8 ++++----
 MD5             |    6 +++---
 R/gsca.mg.ho2.r |   17 +++++++++--------
 R/gsca.mg.r     |   17 +++++++++--------
 4 files changed, 25 insertions(+), 23 deletions(-)

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Package elastic updated to version 0.7.0 with previous version 0.6.0 dated 2016-01-07

Title: General Purpose Interface to 'Elasticsearch'
Description: Connect to 'Elasticsearch', a 'NoSQL' database built on the 'Java' Virtual Machine. Interacts with the 'Elasticsearch' 'HTTP' 'API' (<https://www.elastic.co/products/elasticsearch>), including functions for setting connection details to 'Elasticsearch' instances, loading bulk data, searching for documents with both 'HTTP' query variables and 'JSON' based body requests. In addition, 'elastic' provides functions for interacting with 'APIs' for 'indices', documents, nodes, clusters, an interface to the cat 'API', and more.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between elastic versions 0.6.0 dated 2016-01-07 and 0.7.0 dated 2016-07-25

 elastic-0.6.0/elastic/R/Search.R                         |only
 elastic-0.6.0/elastic/R/onstart.R                        |only
 elastic-0.7.0/elastic/DESCRIPTION                        |   18 
 elastic-0.7.0/elastic/MD5                                |   82 ++--
 elastic-0.7.0/elastic/NAMESPACE                          |    5 
 elastic-0.7.0/elastic/NEWS.md                            |   32 +
 elastic-0.7.0/elastic/R/Search_uri.R                     |   15 
 elastic-0.7.0/elastic/R/alias.R                          |   14 
 elastic-0.7.0/elastic/R/cat.r                            |    4 
 elastic-0.7.0/elastic/R/connect.R                        |  290 ++++++++++-----
 elastic-0.7.0/elastic/R/docs_bulk.r                      |   59 +--
 elastic-0.7.0/elastic/R/docs_create.R                    |    8 
 elastic-0.7.0/elastic/R/docs_delete.R                    |    4 
 elastic-0.7.0/elastic/R/docs_get.r                       |   11 
 elastic-0.7.0/elastic/R/docs_mget.r                      |    8 
 elastic-0.7.0/elastic/R/elastic-package.r                |    6 
 elastic-0.7.0/elastic/R/explain.R                        |    5 
 elastic-0.7.0/elastic/R/httr-verbs.R                     |   39 --
 elastic-0.7.0/elastic/R/index.R                          |   31 -
 elastic-0.7.0/elastic/R/info.R                           |only
 elastic-0.7.0/elastic/R/mapping.R                        |    2 
 elastic-0.7.0/elastic/R/msearch.R                        |    4 
 elastic-0.7.0/elastic/R/mtermvectors.R                   |only
 elastic-0.7.0/elastic/R/nodes.R                          |    8 
 elastic-0.7.0/elastic/R/percolater.R                     |   11 
 elastic-0.7.0/elastic/R/scroll.R                         |   56 ++
 elastic-0.7.0/elastic/R/search.r                         |only
 elastic-0.7.0/elastic/R/termvectors.R                    |only
 elastic-0.7.0/elastic/R/tokenizer_set.R                  |    4 
 elastic-0.7.0/elastic/R/zzz.r                            |   59 ++-
 elastic-0.7.0/elastic/README.md                          |  130 +++---
 elastic-0.7.0/elastic/build/vignette.rds                 |binary
 elastic-0.7.0/elastic/inst/examples/omdb.json            |only
 elastic-0.7.0/elastic/inst/ignore/connect_changes.R      |only
 elastic-0.7.0/elastic/inst/ignore/omdb_data_fetch.R      |only
 elastic-0.7.0/elastic/man/Search.Rd                      |    6 
 elastic-0.7.0/elastic/man/Search_uri.Rd                  |    4 
 elastic-0.7.0/elastic/man/connect.Rd                     |   55 ++
 elastic-0.7.0/elastic/man/docs_bulk.Rd                   |   21 -
 elastic-0.7.0/elastic/man/es_auth.Rd                     |   11 
 elastic-0.7.0/elastic/man/info.Rd                        |only
 elastic-0.7.0/elastic/man/mtermvectors.Rd                |only
 elastic-0.7.0/elastic/man/percolate.Rd                   |    3 
 elastic-0.7.0/elastic/man/scroll.Rd                      |   43 ++
 elastic-0.7.0/elastic/man/termvectors.Rd                 |only
 elastic-0.7.0/elastic/tests/testthat/helper-elastic.R    |    4 
 elastic-0.7.0/elastic/tests/testthat/test-count.R        |    2 
 elastic-0.7.0/elastic/tests/testthat/test-mtermvectors.R |only
 elastic-0.7.0/elastic/tests/testthat/test-termvectors.R  |only
 49 files changed, 700 insertions(+), 354 deletions(-)

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