Sun, 29 Oct 2017

Package SimDesign updated to version 1.8 with previous version 1.7 dated 2017-08-14

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to help safely and efficiently organize Monte Carlo simulations in R. The package controls the structure and back-end of Monte Carlo simulations by utilizing a general generate-analyse-summarise strategy. The functions provided control common simulation issues such as re-simulating non-convergent results, support parallel back-end and MPI distributed computations, save and restore temporary files, aggregate results across independent nodes, and provide native support for debugging.
Author: Phil Chalmers [aut, cre], Matthew Sigal [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between SimDesign versions 1.7 dated 2017-08-14 and 1.8 dated 2017-10-29

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More information about SimDesign at CRAN
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Package rpg updated to version 1.6 with previous version 1.5 dated 2017-02-08

Title: Easy Interface to Advanced PostgreSQL Features
Description: Allows ad hoc queries and reading and writing data frames to and from a database.
Author: Timothy H. Keitt
Maintainer: Timothy H. Keitt <tkeitt@gmail.com>

Diff between rpg versions 1.5 dated 2017-02-08 and 1.6 dated 2017-10-29

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More information about rpg at CRAN
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Package lubridate updated to version 1.7.0 with previous version 1.6.0 dated 2016-09-13

Title: Make Dealing with Dates a Little Easier
Description: Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.
Author: Vitalie Spinu [aut, cre], Garrett Grolemund [aut], Hadley Wickham [aut], Ian Lyttle [ctb], Imanuel Constigan [ctb], Jason Law [ctb], Doug Mitarotonda [ctb], Joseph Larmarange [ctb], Jonathan Boiser [ctb], Chel Hee Lee [ctb]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

Diff between lubridate versions 1.6.0 dated 2016-09-13 and 1.7.0 dated 2017-10-29

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More information about lubridate at CRAN
Permanent link

Package diffusr updated to version 0.1.2 with previous version 0.1.1 dated 2017-06-05

Title: Network Diffusion Algorithms
Description: Implementation of network diffusion algorithms such as heat diffusion or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs.
Author: Simon Dirmeier [aut, cre]
Maintainer: Simon Dirmeier <simon.dirmeier@gmx.de>

Diff between diffusr versions 0.1.1 dated 2017-06-05 and 0.1.2 dated 2017-10-29

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Package websearchr updated to version 0.0.2 with previous version 0.0.1 dated 2017-09-15

Title: Access Domains and Search Popular Websites
Description: Functions that allow for accessing domains and a number of search engines.
Author: Florian Simon Schaffner [aut, cre]
Maintainer: Florian Simon Schaffner <schaffner.florian@gmail.com>

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Package sommer updated to version 3.1 with previous version 3.0 dated 2017-08-24

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous variance models (Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson, and Efficient Mixed Model Association algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package lazyeval updated to version 0.2.1 with previous version 0.2.0 dated 2016-06-13

Title: Lazy (Non-Standard) Evaluation
Description: An alternative approach to non-standard evaluation using formulas. Provides a full implementation of LISP style 'quasiquotation', making it easier to generate code with other code.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between lazyeval versions 0.2.0 dated 2016-06-13 and 0.2.1 dated 2017-10-29

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Package gridSVG updated to version 1.6-0 with previous version 1.5-1 dated 2017-05-04

Title: Export 'grid' Graphics as SVG
Description: Functions to export graphics drawn with package grid to SVG format. Additional functions provide access to SVG features that are not available in standard R graphics, such as hyperlinks, animation, filters, masks, clipping paths, and gradient and pattern fills.
Author: Paul Murrell [cre, aut], Simon Potter [aut]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

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Package spgwr updated to version 0.6-32 with previous version 0.6-31 dated 2017-04-25

Title: Geographically Weighted Regression
Description: Functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.
Author: Roger Bivand [cre, aut] (0000-0003-2392-6140), Danlin Yu [aut], Tomoki Nakaya [ctb], Miquel-Angel Garcia-Lopez [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package replyr updated to version 0.8.2 with previous version 0.5.4 dated 2017-10-19

Title: Reliable Adaption of Big Data with R
Description: Methods to use 'dplyr' remote data sources ('SQL' databases, 'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning user code works similarly on all such sources, without needing per-source adaption). Adds convenience functions to make such tasks more like working with an in-memory R 'data.frame'.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package glue updated to version 1.2.0 with previous version 1.1.1 dated 2017-06-21

Title: Interpreted String Literals
Description: An implementation of interpreted string literals, inspired by Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals <https://docs.julialang.org/en/stable/manual/strings/#triple-quoted-string-literals>.
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package clickR updated to version 0.3.38 with previous version 0.3.29 dated 2017-09-06

Title: Fix Data and Create Report Tables from Different Objects
Description: Fixes data errors in numerical, factor and date variables, checks data quality, performs exploratory analysis and creates report tables from models and summaries.
Author: Victoria Fornes Ferrer, David Hervas Marin
Maintainer: David Hervas Marin <ddhervas@yahoo.es>

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Package dgo updated to version 0.2.11 with previous version 0.2.10 dated 2017-05-30

Title: Dynamic Estimation of Group-Level Opinion
Description: Fit dynamic group-level IRT and MRP models from individual or aggregated item response data. This package handles common preprocessing tasks and extends functions for inspecting results, poststratification, and quick iteration over alternative models.
Author: James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut]
Maintainer: James Dunham <james@jdunham.io>

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New package rgen with initial version 0.0.1
Package: rgen
Title: Random Sampling Distribution C++ Routines for Armadillo
Version: 0.0.1
Authors@R: c(person("James", "Balamuta", email = "balamut2@illinois.edu", role = c("aut", "cre")), person("Steven", "Culpepper", email = "sculpepp@illinois.edu", role = c("ctb")))
Description: Provides popular sampling distributions C++ routines based in armadillo through a header file approach.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-10-28 18:00:42 UTC; jjb
Author: James Balamuta [aut, cre], Steven Culpepper [ctb]
Maintainer: James Balamuta <balamut2@illinois.edu>
Repository: CRAN
Date/Publication: 2017-10-29 16:47:08 UTC

More information about rgen at CRAN
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Package FSA updated to version 0.8.17 with previous version 0.8.16 dated 2017-09-07

Title: Simple Fisheries Stock Assessment Methods
Description: A variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
Author: Derek Ogle [aut, cre]
Maintainer: Derek Ogle <derek@derekogle.com>

Diff between FSA versions 0.8.16 dated 2017-09-07 and 0.8.17 dated 2017-10-29

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Package crs updated to version 0.15-28 with previous version 0.15-27 dated 2017-05-07

Title: Categorical Regression Splines
Description: Regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>).
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb] (stepCV.R)
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

Diff between crs versions 0.15-27 dated 2017-05-07 and 0.15-28 dated 2017-10-29

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Package proxy updated to version 0.4-19 with previous version 0.4-17 dated 2017-02-01

Title: Distance and Similarity Measures
Description: Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Author: David Meyer [aut, cre], Christian Buchta [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

Diff between proxy versions 0.4-17 dated 2017-02-01 and 0.4-19 dated 2017-10-29

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Package modmarg updated to version 0.9.0 with previous version 0.6.0 dated 2017-08-13

Title: Calculating Marginal Effects and Levels with Errors
Description: Calculate predicted levels and marginal effects, using the delta method to calculate standard errors. This is an R-based version of the 'margins' command from Stata.
Author: Alex Gold [aut], Nat Olin [aut], Annie Wang [aut, cre]
Maintainer: Annie Wang <anniejw6@gmail.com>

Diff between modmarg versions 0.6.0 dated 2017-08-13 and 0.9.0 dated 2017-10-29

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Package lexicon updated to version 0.4.1 with previous version 0.3.1 dated 2017-04-10

Title: Lexicons for Text Analysis
Description: A collection of lexical hash tables, dictionaries, and word lists.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between lexicon versions 0.3.1 dated 2017-04-10 and 0.4.1 dated 2017-10-29

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Permanent link

Package itsmr updated to version 1.6 with previous version 1.5 dated 2011-11-13

Title: Time Series Analysis Using the Innovations Algorithm
Description: Provides functions for modeling and forecasting time series data. Forecasting is based on the innovations algorithm. A description of the innovations algorithm can be found in the textbook "Introduction to Time Series and Forecasting" by Peter J. Brockwell and Richard A. Davis. <http://www.springer.com/us/book/9781475777505>.
Author: George Weigt
Maintainer: George Weigt <g808391@gmail.com>

Diff between itsmr versions 1.5 dated 2011-11-13 and 1.6 dated 2017-10-29

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New package HMMoce with initial version 1.0.0
Package: HMMoce
Type: Package
Title: Improved Analysis of Marine Animal Movement Data Using Hidden Markov Models
Version: 1.0.0
Date: 2017-10-26
Authors@R: c( person("Camrin", "Braun", email = "camrin.braun@gmail.com", role = c("aut","cre")), person("Benjamin", "Galuardi", email = "drdrumfish@gmail.com", role = c("aut")), person("Benjamin", "Jones", role = c("ctb"), comment = 'Contributed to earlier version of some of the download functions.'), person("Martin", "Pedersen", role = c("ctb"), comment = 'Developed an earlier version of some of the HMM framework and helper functions.') )
Maintainer: Camrin Braun <camrin.braun@gmail.com>
Description: Improved analysis of marine animal movement data by implementing a state-space hidden Markov model (HMM) to improve position estimates. Position estimates are derived by comparing electronic tag data (from tags deployed on marine animals, typically fish) to three-dimensional oceanographic data.
License: MIT + file LICENSE
Depends: R (>= 2.10),
Imports: dplyr, fields, foreach, imager, locfit, lubridate, maptools, raster, RColorBrewer, rgeos, RNetCDF, sp, parallel, doParallel, curl, methods
Suggests: knitr, rmarkdown, png, grid
RoxygenNote: 6.0.1
URL: http://www.camrinbraun.com/
BugReports: https://github.com/camrinbraun/HMMoce/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-10-27 20:52:57 UTC; Cam
Author: Camrin Braun [aut, cre], Benjamin Galuardi [aut], Benjamin Jones [ctb] (Contributed to earlier version of some of the download functions.), Martin Pedersen [ctb] (Developed an earlier version of some of the HMM framework and helper functions.)
Repository: CRAN
Date/Publication: 2017-10-29 14:23:39 UTC

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New package episode with initial version 1.0.0
Package: episode
Type: Package
Title: Estimation with Penalisation in Systems of Ordinary Differential Equations
Version: 1.0.0
Authors@R: person("Frederik Vissing", "Mikkelsen", email = "mifretz@gmail.com", role = c("aut", "cre"))
Maintainer: Frederik Vissing Mikkelsen <mifretz@gmail.com>
Description: A set of statistical tools for inferring unknown parameters in continuous time processes governed by ordinary differential equations (ODE). Moreover, variance reduction and model selection can be obtained through various implemented penalisation schemes. The package offers two estimation procedures: exact estimation via least squares and a faster approximate estimation via inverse collocation methods. All estimators can handle multiple data sets arising from the same ODE system, but subjected to different interventions.
License: GPL-3
LazyData: TRUE
Imports: Matrix (>= 1.2-9), glmnet (>= 2.0-10), Rcpp (>= 0.12.11), methods (>= 3.4), stats (>= 3.4), nnls (>= 1.4)
Depends: R (>= 3.4.0)
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: GNU make
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-10-24 15:23:41 UTC; hmn426
Author: Frederik Vissing Mikkelsen [aut, cre]
Repository: CRAN
Date/Publication: 2017-10-29 14:27:39 UTC

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New package CAISEr with initial version 0.2.1
Package: CAISEr
Type: Package
Title: Comparison of Algorithms with Iterative Sample Size Estimation
Version: 0.2.1
Date: 2017-10-27
Authors@R: c(person("Felipe", "Campelo", email = "fcampelo@ufmg.br", role = c("aut", "cre")), person("Fernanda", "Takahashi", email = "fernandact@ufmg.br", role = c("aut")))
Maintainer: Felipe Campelo <fcampelo@ufmg.br>
Description: Functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy.
License: GPL-2
Depends: R (>= 3.4.0)
Imports: assertthat (>= 0.1),
Suggests: MOEADr, smoof, knitr, rmarkdown, car, dplyr, ggplot2, ggridges
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 6.0.1
VignetteBuilder: knitr
URL: https://github.com/fcampelo/CAISEr
NeedsCompilation: no
Packaged: 2017-10-27 21:39:11 UTC; fcampelo
Author: Felipe Campelo [aut, cre], Fernanda Takahashi [aut]
Repository: CRAN
Date/Publication: 2017-10-29 14:45:27 UTC

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New package RNOmni with initial version 0.1.2
Package: RNOmni
Title: Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation
Version: 0.1.2
Date: 2017-10-26
Authors@R: person("Zachary","McCaw",email="zmccaw@g.harvard.edu",role=c("aut","cre"))
Description: Implementation of genetic association tests that utilize the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two INT-based approaches, termed direct INT (DINT) and partially indirect INT (PIINT). In genome scale simulations, the omnibus test routinely provided valid inference against continuous phenotypes with skewed and heavy tailed residual distributions. Association testing against these same phenotypes via standard linear regression led to an excess of false positive associations. In addition to controlling the type I error, the omnibus approach provided power comparable to the more powerful of the component methods.
Depends: R (>= 3.2.2)
Imports: abind, cowplot, foreach, ggplot2, microbenchmark, mvtnorm, RcppEigen, reshape2
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-10-28 03:26:53 UTC; zmccaw
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@g.harvard.edu>
Repository: CRAN
Date/Publication: 2017-10-29 13:03:44 UTC

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New package tidystats with initial version 0.1
Package: tidystats
Title: Create a Tidy Statistics Output File
Version: 0.1
Authors@R: person("Willem", "Sleegers", email = "w.sleegers@me.com", role = c("aut", "cre"))
Description: Produce a data file containing the output of statistical models and assist with a workflow aimed at writing scientific papers using 'R Markdown'. Supported statistical functions are: t.test(), cor.test(), lm(), aov(), anova(). The package is based on tidy principles (i.e., the 'tidyverse'; Wickham, 2017).
Depends: R (>= 3.4.2)
Imports: tibble, readr, tidyr, dplyr, magrittr, purrr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-10-28 08:24:16 UTC; Willem
Author: Willem Sleegers [aut, cre]
Maintainer: Willem Sleegers <w.sleegers@me.com>
Repository: CRAN
Date/Publication: 2017-10-29 12:44:44 UTC

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New package SurrogateTest with initial version 1.0
Package: SurrogateTest
Type: Package
Title: Early Testing for a Treatment Effect using Surrogate Marker Information
Version: 1.0
Date: 2017-10-27
Author: Layla Parast
Maintainer: Layla Parast <parast@rand.org>
Description: Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2017) "Using a Surrogate Marker for Early Testing of a Treatment Effect" (under review).
License: GPL
Imports: stats, survival
NeedsCompilation: no
Packaged: 2017-10-27 22:12:17 UTC; parast
Repository: CRAN
Date/Publication: 2017-10-29 12:49:05 UTC

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Package linl updated to version 0.0.2 with previous version 0.0.1 dated 2017-10-22

Title: 'linl' is not 'Letter'
Description: A 'LaTeX' Letter class for 'rmarkdown', using the 'pandoc-letter' template adapted for use with 'markdown'.
Author: Dirk Eddelbuettel and Aaron Wolen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between linl versions 0.0.1 dated 2017-10-22 and 0.0.2 dated 2017-10-29

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Package sNPLS updated to version 0.3.0 with previous version 0.2.7 dated 2017-09-30

Title: NPLS Regression with L1 Penalization
Description: Tools for performing variable selection in three-way data using N-PLS in combination with L1 penalization. The N-PLS model (Rasmus Bro, 1996 <DOI:10.1002/(SICI)1099-128X(199601)10:1%3C47::AID-CEM400%3E3.0.CO;2-C>) is the natural extension of PLS (Partial Least Squares) to N-way structures, and tries to maximize the covariance between X and Y data arrays. The package also adds variable selection through L1 penalization.
Author: David Hervas
Maintainer: David Hervas <ddhervas@yahoo.es>

Diff between sNPLS versions 0.2.7 dated 2017-09-30 and 0.3.0 dated 2017-10-29

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Package mBvs updated to version 1.1 with previous version 1.0 dated 2015-12-05

Title: Bayesian Variable Selection Methods for Multivariate Data
Description: Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data and zero-inflated count data.
Author: Kyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull, Jacqueline R. Starr
Maintainer: Kyu Ha Lee <klee@hsph.harvard.edu>

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 mBvs-1.1/mBvs/src/MBVSus_Updates.c           |    1 
 mBvs-1.1/mBvs/src/Utilities.c                |  456 ++++++++++++++++++++++++++-
 mBvs-1.1/mBvs/src/mzipBVS_general.c          |only
 mBvs-1.1/mBvs/src/mzipBVS_general.h          |only
 mBvs-1.1/mBvs/src/mzipBVS_general_Updates.c  |only
 mBvs-1.1/mBvs/src/mzip_restricted1.c         |only
 mBvs-1.1/mBvs/src/mzip_restricted1.h         |only
 mBvs-1.1/mBvs/src/mzip_restricted1_Updates.c |only
 mBvs-1.1/mBvs/src/mzip_restricted2.c         |only
 mBvs-1.1/mBvs/src/mzip_restricted2.h         |only
 mBvs-1.1/mBvs/src/mzip_restricted2_Updates.c |only
 mBvs-1.1/mBvs/src/registerDynamicSymbol.c    |only
 29 files changed, 977 insertions(+), 102 deletions(-)

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