Wed, 19 Apr 2017

New package timekit with initial version 0.1.0
Package: timekit
Type: Package
Title: Simplified and Extensible Time Series Coercion Tools
Version: 0.1.0
Date: 2017-04-19
Authors@R: c( person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")), person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut")) )
Description: Coerces between time-based tibbles ('tbl') and the primary time series object classes including 'xts', 'zoo', and 'ts'. Additionally, provides methods for maintaining the non-regularized time index during coercion to regularized time series objects.
URL: https://github.com/business-science/timekit
BugReports: https://github.com/business-science/timekit/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: devtools (>= 1.12.0), dplyr (>= 0.5.0), forcats (>= 0.2.0), forecast (>= 0.8.0), lazyeval (>= 0.2.0), lubridate (>= 1.6.0), purrr (>= 0.2.2), quantmod (>= 0.4-8), readr (>= 1.0.0), scales (<= 0.4.1), tibble (>= 1.2), tidyquant (>= 0.5.0), tidyr (>= 0.6.1), timeSeries (>= 3022.101.2), tseries (>= 0.10-37), TTR (>= 0.23-1), xts (>= 0.9-7), zoo (>= 1.7-14)
Suggests: knitr, rmarkdown, testthat, stringr, tidyverse
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-04-19 20:10:30 UTC; mdanc
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2017-04-19 20:16:34 UTC

More information about timekit at CRAN
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Package rfishbase updated to version 2.1.2 with previous version 2.1.1 dated 2016-07-21

Title: R Interface to 'FishBase'
Description: A programmatic interface to <http://www.fishbase.org>, re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to <http://www.sealifebase.org> data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Author: Carl Boettiger [cre, aut], Scott Chamberlain [aut], Duncan Temple Lang [aut], Peter Wainwright [aut]
Maintainer: Carl Boettiger <cboettig@ropensci.org>

Diff between rfishbase versions 2.1.1 dated 2016-07-21 and 2.1.2 dated 2017-04-19

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Package rarhsmm updated to version 1.0.2 with previous version 1.0.1 dated 2017-04-12

Title: Regularized Autoregressive Hidden Semi Markov Model
Description: Fit Gaussian hidden Markov (or semi-Markov) models with / without autoregressive coefficients and with / without regularization. The fitting algorithm for the hidden Markov model is illustrated by Rabiner (1989) <doi:10.1109/5.18626>. The shrinkage estimation on the covariance matrices is based on the graphical lasso method by Freedman (2007) <doi:10.1093/biostatistics/kxm045>. The shrinkage estimation on the autoregressive coefficients uses the elastic net shrinkage detailed in Zou (2005) <doi:10.1111/j.1467-9868.2005.00503.x>.
Author: Zekun (Jack) Xu, Ye Liu
Maintainer: Zekun Xu <zekunxu@gmail.com>

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Package paleomorph updated to version 0.1.4 with previous version 0.1.3 dated 2016-09-29

Title: Geometric Morphometric Tools for Paleobiology
Description: Fill missing symmetrical data with mirroring, calculate Procrustes alignments with or without scaling, and compute standard or vector correlation and covariance matrices (congruence coefficients) of 3D landmarks. Tolerates missing data for all analyses.
Author: Tim Lucas, Anjali Goswami
Maintainer: Tim Lucas <timcdlucas@gmail.com>

Diff between paleomorph versions 0.1.3 dated 2016-09-29 and 0.1.4 dated 2017-04-19

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New package DescToolsAddIns with initial version 0.9
Package: DescToolsAddIns
Type: Package
Title: Some Functions to be Used as Shortcuts in RStudio
Version: 0.9
Date: 2017-04-19
Author: Andri Signorell
Maintainer: Andri Signorell <andri@signorell.net>
Description: RStudio as of recently offers the option to define addins and assign shortcuts to them. This package contains AddIns for a few most used functions in an analysts (at least mine) daily work (like str(), example(), plot(), head(), view(), Desc()). Most of these functions will get the current selection in RStudio's editor window and send the specific command to the console while instantly executing it. Assigning shortcuts to these AddIns will spare you quite a few keystrokes.
Depends: base, stats, R (>= 3.1.1)
Imports: DescTools, rstudioapi
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2017-04-19 19:33:45 UTC; Andri
Repository: CRAN
Date/Publication: 2017-04-19 19:58:09 UTC

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Package sparseHessianFD updated to version 0.3.3 with previous version 0.3.2 dated 2016-12-26

Title: Numerical Estimation of Sparse Hessians
Description: Estimates Hessian of a scalar-valued function, and returns it in a sparse Matrix format. The sparsity pattern must be known in advance. The algorithm is especially efficient for hierarchical models with a large number of heterogeneous units.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

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Package rtk updated to version 0.2.5.1 with previous version 0.2.5 dated 2017-03-22

Title: Rarefaction Tool Kit
Description: Rarefy data, calculate diversity and plot the results.
Author: Paul Saary, Falk Hildebrand
Maintainer: Paul Saary <rtk@paulsaary.de>

Diff between rtk versions 0.2.5 dated 2017-03-22 and 0.2.5.1 dated 2017-04-19

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Package rAltmetric updated to version 0.7.0 with previous version 0.6 dated 2014-12-04

Title: Retrieves Altmerics Data for Any Published Paper from 'Altmetric.com'
Description: Provides a programmatic interface to the citation information and alternate metrics provided by 'Altmetric'. Data from Altmetric allows researchers to immediately track the impact of their published work, without having to wait for citations. This allows for faster engagement with the audience interested in your work. For more information, visit <https://www.altmetric.com/>.
Author: Karthik Ram [aut, cre]
Maintainer: Karthik Ram <karthik.ram@gmail.com>

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Package COMPoissonReg updated to version 0.4.0 with previous version 0.3.5 dated 2015-07-10

Title: Conway-Maxwell Poisson (COM-Poisson) Regression
Description: Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010) <doi:10.1214/09-AOAS306>. The package provides functions for model estimation, dispersion testing, and diagnostics. Zero-inflated CMP regression (Raim & Sellers, 2016) <doi:10.1016/j.csda.2016.01.007> is also supported.
Author: Kimberly Sellers <kfs7@georgetown.edu> Thomas Lotze <thomas.lotze@thomaslotze.com> Andrew Raim <andrew.raim@gmail.com>
Maintainer: Andrew Raim <andrew.raim@gmail.com>

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Package ArCo updated to version 0.1-2 with previous version 0.1-1 dated 2017-04-04

Title: Artificial Counterfactual Package
Description: Set of functions to analyse and estimate Artificial Counterfactual models from Carvalho, Masini and Medeiros (2016) <DOI:10.2139/ssrn.2823687>.
Author: Yuri R. Fonseca [aut], Ricardo Masini [aut], Marcelo C. Medeiros [aut], Gabriel F. R. Vasconcelos [aut, cre]
Maintainer: Gabriel F. R. Vasconcelos <gabrielrvsc@yahoo.com.br>

Diff between ArCo versions 0.1-1 dated 2017-04-04 and 0.1-2 dated 2017-04-19

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Package bgeva (with last version 0.3) was removed from CRAN

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

2015-01-15 0.3
2013-07-05 0.2
2013-04-29 0.1

Permanent link
New package simule with initial version 1.0.0
Package: simule
Version: 1.0.0
Date: 2017-04-18
Title: A Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models
Authors@R: c(person("Beilun", "Wang", role = c("aut", "cre"), email = "bw4mw@virginia.edu"), person("Yanjun", "Qi", role = "aut", email = "yanjun@virginia.edu"))
Author: Beilun Wang [aut, cre], Yanjun Qi [aut]
Maintainer: Beilun Wang <bw4mw@virginia.edu>
Depends: R (>= 3.0.0), lpSolve, pcaPP
Suggests: parallel
Description: The SIMULE (Shared and Individual parts of MULtiple graphs Explicitly) is a generalized method for estimating multiple related graphs with shared and individual pattern among graphs. For more details, please see <arXiv:1605.03468>.
License: GPL-2
URL: https://www.cs.virginia.edu/~bw4mw, https://github.com/QData/SIMULE
BugReports: https://github.com/QData/SIMULE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-19 14:46:03 UTC; beilunwang
Repository: CRAN
Date/Publication: 2017-04-19 15:49:35 UTC

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Package RSocrata updated to version 1.7.2-12 with previous version 1.7.1-24 dated 2016-11-16

Title: Download or Upload 'Socrata' Data Sets
Description: Provides easier interaction with Socrata open data portals <http://dev.socrata.com>. Users can provide a 'Socrata' data set resource URL, or a 'Socrata' Open Data API (SoDA) web query, or a 'Socrata' "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX' format and manages throttling by 'Socrata'. Users can upload data to Socrata portals directly from R.
Author: Hugh Devlin, Ph. D., Tom Schenk, Jr., and John Malc
Maintainer: "Tom Schenk Jr." <developers@cityofchicago.org>

Diff between RSocrata versions 1.7.1-24 dated 2016-11-16 and 1.7.2-12 dated 2017-04-19

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New package RNAseqNet with initial version 0.1.0
Package: RNAseqNet
Type: Package
Title: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Version: 0.1.0
Date: 2017-04-19
Authors@R: c(person("Alyssa", "Imbert", role = c("aut"), email="alyssa.imbert@inra.fr"), person("Nathalie", "Villa-Vialaneix", role = c("aut", "cre"), email="nathalie.villa-vialaneix@inra.fr"))
Maintainer: Nathalie Villa-Vialaneix <nathalie.villa-vialaneix@inra.fr>
Description: Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter.
License: GPL (>= 3)
Repository: CRAN
Depends: R (>= 3.1.0), ggplot2
Imports: igraph (>= 1.0), hot.deck, PoiClaClu, glmnet
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-04-19 13:49:29 UTC; nathalie
Author: Alyssa Imbert [aut], Nathalie Villa-Vialaneix [aut, cre]
Date/Publication: 2017-04-19 15:51:49 UTC

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Package multipanelfigure updated to version 0.9.0 with previous version 0.8.3 dated 2016-07-06

Title: Infrastructure to Assemble Multi-Panel Figures (from Grobs)
Description: Tools to create a layout for figures made of multiple panels, and to fill the panels with base, lattice and ggplot2 plots, grobs, and PNG, JPEG, SVG and TIFF images.
Author: Johannes Graumann [cre, aut], Richard Cotton [ctb]
Maintainer: Johannes Graumann <jog2030@qatar-med.cornell.edu>

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Package miceadds updated to version 2.4-12 with previous version 2.3-0 dated 2017-02-21

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains some auxiliary functions for multiple imputation which complements existing functionality in R. In addition to some utility functions, main features include plausible value imputation, multilevel imputation functions, imputation using partial least squares (PLS) for high dimensional predictors, nested multiple imputation.
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package icenReg updated to version 2.0.1 with previous version 2.0.0 dated 2017-03-18

Title: Regression Models for Interval Censored Data
Description: Regression models for interval censored data. Currently supports Cox-PH, proportional odds, and accelerated failure time models. Allows for semi and fully parametric models (parametric only for accelerated failure time models) and Bayesian parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data.
Author: Clifford Anderson-Bergman
Maintainer: Clifford Anderson-Bergman <pistacliffcho@gmail.com>

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Package GGMselect updated to version 0.1-12 with previous version 0.1-11 dated 2016-11-23

Title: Gaussian Graphs Models Selection
Description: Graph estimation in Gaussian Graphical Models. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.
Author: Annie Bouvier, Christophe Giraud, Sylvie Huet, Verzelen N.
Maintainer: Annie Bouvier <Annie.Bouvier@inra.fr>

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Package RatingScaleReduction updated to version 1.1 with previous version 1.0 dated 2017-02-11

Title: Rating Scale Reduction Procedure
Description: Describes a new procedure of reducing items in a rating scale called Rating Scale Reduction (RSR). The new stop criterion in RSR procedure is added (stop global max).
Author: Waldemar W. Koczkodaj, Alicja Wolny-Dominiak
Maintainer: Alicja Wolny-Dominiak <alicja.wolny-dominiak@ue.katowice.pl>

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Package pomp updated to version 1.12 with previous version 1.11 dated 2017-03-01

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for working with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package gap updated to version 1.1-17 with previous version 1.1-16 dated 2015-06-06

Title: Genetic Analysis Package
Description: It is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates.
Author: Jing Hua Zhao and colleagues with inputs from Kurt Hornik and Brian Ripley
Maintainer: Jing Hua Zhao <jinghua.zhao@mrc-epid.cam.ac.uk>

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Package rstanarm updated to version 2.15.2 with previous version 2.14.1 dated 2017-01-17

Title: Bayesian Applied Regression Modeling via Stan
Description: Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.
Author: Jonah Gabry [aut], Imad Ali [ctb], Trustees of Columbia University [cph], R Core Deveopment Team [cph] (R/stan_aov.R), Douglas Bates [cph] (R/pp_data.R), Martin Maechler [cph] (R/pp_data.R), Ben Bolker [cph] (R/pp_data.R), Steve Walker [cph] (R/pp_data.R), Brian Ripley [cph] (R/stan_aov.R, R/stan_polr.R), William Venables [cph] (R/stan_polr.R), Ben Goodrich [cre, aut]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package prediction updated to version 0.2.0 with previous version 0.1.11 dated 2017-03-22

Title: Tidy, Type-Safe 'prediction()' Methods
Description: A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
Author: Thomas J. Leeper [aut, cre], Carl Ganz [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between prediction versions 0.1.11 dated 2017-03-22 and 0.2.0 dated 2017-04-19

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New package PCADSC with initial version 0.8.0
Package: PCADSC
Type: Package
Title: Tools for Principal Component Analysis-Based Data Structure Comparisons
Version: 0.8.0
Authors@R: c(person("Anne H.", "Petersen", , email="ahpe@sund.ku.dk", role=c("aut", "cre")), person("Bo", "Markussen", , email="bomar@math.ku.dk", role=c("aut")))
Description: A suite of non-parametric, visual tools for assessing differences in data structures for two datasets that contain different observations of the same variables. These tools are all based on Principal Component Analysis (PCA) and thus effectively address differences in the structures of the covariance matrices of the two datasets. The PCASDC tools consist of easy-to-use, intuitive plots that each focus on different aspects of the PCA decompositions. The cumulative eigenvalue (CE) plot describes differences in the variance components (eigenvalues) of the deconstructed covariance matrices. The angle plot presents the information loss when moving from the PCA decomposition of one dataset to the PCA decomposition of the other. The chroma plot describes the loading patterns of the two datasets, thereby presenting the relative weighting and importance of the variables from the original dataset.
Depends: R (>= 3.2.2)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: reshape2, methods, pander, ggplot2, Matrix
RoxygenNote: 5.0.1
URL: https://github.com/annepetersen1/PCADSC
BugReports: https://github.com/annepetersen1/PCADSC/issues
NeedsCompilation: no
Packaged: 2017-04-19 10:00:23 UTC; zms499
Author: Anne H. Petersen [aut, cre], Bo Markussen [aut]
Maintainer: Anne H. Petersen <ahpe@sund.ku.dk>
Repository: CRAN
Date/Publication: 2017-04-19 10:07:43 UTC

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New package CHMM with initial version 0.1.0
Package: CHMM
Type: Package
Title: Coupled Hidden Markov Models
Version: 0.1.0
Authors@R: c( person("Xiaoqiang", "Wang", email = "xiaoqiang.wang@sdu.edu.cn", role = "aut"), person("Julie", "Aubert", email = "julie.aubert@agroparistech.fr", role = c("aut","cre")) )
Description: An exact and a variational inference for coupled Hidden Markov Models applied to the joint detection of copy number variations.
Depends: R (>= 3.1.0)
Imports: mclust
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-04-18 14:47:08 UTC; aubert
Author: Xiaoqiang Wang [aut], Julie Aubert [aut, cre]
Maintainer: Julie Aubert <julie.aubert@agroparistech.fr>
Repository: CRAN
Date/Publication: 2017-04-19 10:07:41 UTC

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Package StanHeaders updated to version 2.15.0-1 with previous version 2.14.0-1 dated 2017-01-09

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains no R code, vignettes, or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut], Mitzi Morris [aut], Jeffrey Arnold [aut], Rob Goedman [aut], Brian Lau [aut], Rob Trangucci [aut], Jonah Gabry [aut], Alp Kucukelbir [aut], Robert Grant [aut], Dustin Tran [aut], Michael Malecki [aut], Yuanjun Gao [aut], Trustees of Columbia University [cph], Lawrence Livermore National Security [cph] (CVODES), The Regents of the University of California [cph] (CVODES), Southern Methodist University [cph] (CVODES)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/lang/grammars/indexes_grammar_def.hpp                    |   29 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/lang/parser.hpp                                          |    2 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/fixed_param_sampler.hpp                             |    6 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/hmc/nuts/adapt_softabs_nuts.hpp                     |    9 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp                              |   14 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/hmc/static_uniform/adapt_dense_e_static_uniform.hpp |    4 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/hmc/xhmc/base_xhmc.hpp                              |   10 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/sample.hpp                                          |    2 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/stepsize_covar_adapter.hpp                          |    4 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/stepsize_var_adapter.hpp                            |    4 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/mcmc/windowed_adaptation.hpp                             |   36 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/model/finite_diff_grad.hpp                               |    5 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/model/gradient.hpp                                       |    4 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/model/indexing/lvalue.hpp                                |   40 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/model/test_gradients.hpp                                 |   80 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/src/stan/optimization/bfgs_linesearch.hpp                         |  114 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/mat/prob/dirichlet_log.hpp                         |   55 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/mat/prob/gaussian_dlm_obs_log.hpp                  |  315 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/mat/prob/wishart_log.hpp                           |   73 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/fun/F32.hpp                                   |   96 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/binomial_rng.hpp                         |   13 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/exp_mod_normal_rng.hpp                   |    1 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/exponential_ccdf_log.hpp                 |   53 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/frechet_ccdf_log.hpp                     |   69 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/gumbel_ccdf_log.hpp                      |   71 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/gumbel_lccdf.hpp                         |   23 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/gumbel_log.hpp                           |   94 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/gumbel_lpdf.hpp                          |   23 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/hypergeometric_log.hpp                   |   62 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/hypergeometric_lpmf.hpp                  |   10 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/logistic_ccdf_log.hpp                    |   89 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/logistic_lpdf.hpp                        |    8 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/logistic_rng.hpp                         |    1 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/lognormal_ccdf_log.hpp                   |   79 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/lognormal_cdf.hpp                        |    7 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/lognormal_lccdf.hpp                      |    7 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/neg_binomial_2_cdf.hpp                   |    7 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/neg_binomial_2_cdf_log.hpp               |   50 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/neg_binomial_lcdf.hpp                    |    7 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/neg_binomial_log.hpp                     |  158 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/neg_binomial_lpmf.hpp                    |    8 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_ccdf_log.hpp                      |   89 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_cdf.hpp                           |    7 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_cdf_log.hpp                       |   88 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_lccdf.hpp                         |    7 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_lcdf.hpp                          |    7 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_log.hpp                           |   96 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_lpdf.hpp                          |   12 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_sufficient_log.hpp                |only
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/normal_sufficient_lpdf.hpp               |only
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/pareto_ccdf_log.hpp                      |   81 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/pareto_lccdf.hpp                         |    7 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/pareto_lpdf.hpp                          |    7 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/poisson_lccdf.hpp                        |    5 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/poisson_lcdf.hpp                         |    5 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/poisson_log.hpp                          |   78 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/poisson_log_lpmf.hpp                     |    6 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/poisson_lpmf.hpp                         |    6 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/rayleigh_ccdf_log.hpp                    |   67 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/rayleigh_cdf.hpp                         |    5 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/rayleigh_log.hpp                         |   85 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/rayleigh_lpdf.hpp                        |    5 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/scaled_inv_chi_square_ccdf_log.hpp       |  121 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/skew_normal_ccdf_log.hpp                 |   96 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/skew_normal_cdf.hpp                      |   10 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/uniform_cdf.hpp                          |    7 
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 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/uniform_lcdf.hpp                         |    7 
 StanHeaders-2.15.0-1/StanHeaders/inst/include/stan/math/prim/scal/prob/uniform_log.hpp                          |   88 
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Package rstan updated to version 2.15.1 with previous version 2.14.2 dated 2017-03-19

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] (R/cxxfunplus.R), The R Core Team [cph] (R/pairs.R, R/dynGet.R), Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R), Hadley Wickham [cph] (R/rtools.R), Joel de Guzman [cph] (Boost), John Fletcher [cph] (Boost), Thomas Heller [cph] (Boost), Eric Niebler [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between rstan versions 2.14.2 dated 2017-03-19 and 2.15.1 dated 2017-04-19

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Package yarrr updated to version 0.1.5 with previous version 0.1.4 dated 2017-02-06

Title: A Companion to the e-Book "YaRrr!: The Pirate's Guide to R"
Description: Contains a mixture of functions and data sets referred to in the introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of the e-book is available for free at <https://www.thepiratesguidetor.com>.
Author: Nathaniel Phillips [aut, cre]
Maintainer: Nathaniel Phillips <yarrr.book@gmail.com>

Diff between yarrr versions 0.1.4 dated 2017-02-06 and 0.1.5 dated 2017-04-19

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Package tseries updated to version 0.10-40 with previous version 0.10-39 dated 2017-04-18

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre], Blake LeBaron [ctb] (BDS test code)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tseries versions 0.10-39 dated 2017-04-18 and 0.10-40 dated 2017-04-19

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Package rAverage updated to version 0.5-3 with previous version 0.4-13 dated 2015-01-16

Title: Parameter Estimation for the Averaging Model of Information Integration Theory
Description: Functions to estimate parameters of averaging models of Anderson's Information Integration Theory.
Author: Giulio Vidotto <giulio.vidotto@unipd.it>, Stefano Noventa <stefano.noventa@uni-tuebingen.de>, Davide Massidda <davide.massidda@gmail.com>, Marco Vicentini <marco.vicentini@gmail.com>
Maintainer: Davide Massidda <davide.massidda@gmail.com>

Diff between rAverage versions 0.4-13 dated 2015-01-16 and 0.5-3 dated 2017-04-19

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Package prophet updated to version 0.1.1 with previous version 0.1 dated 2017-02-01

Title: Automatic Forecasting Procedure
Description: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers.
Author: Sean Taylor [cre, aut], Ben Letham [aut]
Maintainer: Sean Taylor <sjt@fb.com>

Diff between prophet versions 0.1 dated 2017-02-01 and 0.1.1 dated 2017-04-19

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New package leaflet.minicharts with initial version 0.1.0
Package: leaflet.minicharts
Type: Package
Title: Minicharts for Interactive Maps
Version: 0.1.0
Authors@R: c( person("Francois", "Guillem", , "francois.guillem@rte-france.com", role = c("aut", "cre")), person("Jalal-Edine", "ZAWAM", , "jalal-edine.zawam@rte-france.com", role = "ctb"), person("RTE", role = "cph") )
Maintainer: Francois Guillem <francois.guillem@rte-france.com>
Description: Add and modify small charts on an interactive map created with package 'leaflet'. These charts can be used to represent at same time multiple variables on a single map.
License: GPL (>= 2) | file LICENSE
Depends: R (>= 2.10)
Imports: leaflet, htmltools
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-04-19 08:32:02 UTC; franguil
Author: Francois Guillem [aut, cre], Jalal-Edine ZAWAM [ctb], RTE [cph]
Repository: CRAN
Date/Publication: 2017-04-19 08:40:56 UTC

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Package DynNom updated to version 4.1.1 with previous version 4.1 dated 2017-03-23

Title: Dynamic Nomograms for Linear, Generalized Linear and Proportional Hazard Models
Description: Demonstrate the results of a statistical model object as a dynamic nomogram in an RStudio panel or web browser. Also, the generic DNbuilder() function in this package provides a simple and straightforward way to build and publish a dynamic nomogram on the web to use the app independent of R. 'DynNom' supports a variety of model objects; lm(), glm(), coxph() models and also ols(), Glm(), lrm(), cph() models in the 'rms' package.
Author: Amirhossein Jalali, Davood Roshan, Alberto Alvarez-Iglesias, John Newell
Maintainer: Amirhossein Jalali <a.jalali2@nuigalway.ie>

Diff between DynNom versions 4.1 dated 2017-03-23 and 4.1.1 dated 2017-04-19

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New package DA.MRFA with initial version 1.1
Package: DA.MRFA
Type: Package
Title: Dimensionality Assessment using Minimum Rank Factor Analysis
Version: 1.1
Date: 2017-04-18
Author: David Navarro-Gonzalez, Urbano Lorenzo-Seva
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>
Description: Performs Parallel Analysis for assessing the dimensionality of a set of variables using Minimum Rank Factor Analysis (see Timmerman & Lorenzo-Seva (2011) <DOI:10.1037/a0023353> and ten Berge & Kiers (1991) <DOI:10.1007/BF02294464> for more information). The package also includes the option to compute Minimum Rank Factor Analysis by itself, as well as the Greater Lower Bound calculation.
Depends: R (>= 2.10)
Imports: stats, Matrix, optimbase, psych
Suggests: PCovR
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
RoxygenNote: 6.0.1
Packaged: 2017-04-19 07:12:14 UTC; dng
Repository: CRAN
Date/Publication: 2017-04-19 08:32:25 UTC

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New package ompr.roi with initial version 0.6.0
Package: ompr.roi
Type: Package
Title: A Solver for 'ompr' that Uses the R Optimization Infrastructure ('ROI')
Version: 0.6.0
Authors@R: person("Dirk", "Schumacher", email = "mail@dirk-schumacher.net", role = c("aut", "cre", "cph"))
Description: A solver for 'ompr' based on the R Optimization Infrastructure ('ROI'). The package makes all solvers in 'ROI' available to solve 'ompr' models. Please see the 'ompr' website <https://dirkschumacher.github.io/ompr> and package docs for more information and examples on how to use it.
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
URL: https://github.com/dirkschumacher/ompr.roi
BugReports: https://github.com/dirkschumacher/ompr.roi/issues
Depends: R (>= 3.2.0)
Imports: ROI, ompr
Suggests: testthat, magrittr, ROI.plugin.glpk
ByteCompile: Yes
NeedsCompilation: no
Packaged: 2017-04-19 06:04:56 UTC; dirkschumacher
Author: Dirk Schumacher [aut, cre, cph]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>
Repository: CRAN
Date/Publication: 2017-04-19 07:06:33 UTC

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Package rcdd updated to version 1.1-13 with previous version 1.1-11 dated 2017-03-13

Title: Computational Geometry
Description: R interface to (some of) cddlib (<http://www.ifor.math.ethz.ch/~fukuda/cdd_home/cdd.html>). Converts back and forth between two representations of a convex polytope: as solution of a set of linear equalities and inequalities and as convex hull of set of points and rays. Also does linear programming and redundant generator elimination (for example, convex hull in n dimensions). All functions can use exact infinite-precision rational arithmetic.
Author: Charles J. Geyer <charlie@stat.umn.edu> and Glen D. Meeden <glen@stat.umn.edu>, incorporates code from cddlib (ver 0.94f) written by Komei Fukuda <fukuda@ifor.math.ethz.ch>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

Diff between rcdd versions 1.1-11 dated 2017-03-13 and 1.1-13 dated 2017-04-19

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Package quantmod updated to version 0.4-8 with previous version 0.4-7 dated 2016-10-24

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, ctb], Wouter Thielen [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4-7 dated 2016-10-24 and 0.4-8 dated 2017-04-19

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New package preseqR with initial version 3.0.1
Package: preseqR
Type: Package
Title: Predicting the Number of Species in a Random Sample
Version: 3.0.1
Date: 2017-04-10
Author: Chao Deng, Timothy Daley and Andrew D. Smith
Maintainer: Chao Deng <chaodeng@usc.edu>
Description: The relation between the number of species and the number of individuals in a random sample is a classic problem back to Fisher (1943) <doi:10.2307/1411>. We generalize this problem to estimate the number of species represented at least r times in a random sample. In particular when r=1, it becomes the classic problem. We use a mixture of Poisson processes to model sampling procedures and apply a nonparametric empirical Bayes approach to obtain an estimator. For more information on preseqR, see Deng C, Daley T and Smith AD (2015) <doi:10.1007/s40484-015-0049-7> and Deng C and Smith AD (2016) <arXiv:1607.02804v2>.
License: GPL-3
Imports: polynom, graphics, stats
NeedsCompilation: yes
Packaged: 2017-04-18 23:51:37 UTC; JAKE
Repository: CRAN
Date/Publication: 2017-04-19 04:26:12 UTC

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Package pdfetch updated to version 0.2.1 with previous version 0.1.9 dated 2017-04-15

Title: Fetch Economic and Financial Time Series Data from Public Sources
Description: Download economic and financial time series from public sources, including the St Louis Fed's FRED system, Yahoo Finance, the US Bureau of Labor Statistics, the US Energy Information Administration, the World Bank, Eurostat, the European Central Bank, the Bank of England, the UK's Office of National Statistics, Deutsche Bundesbank, and INSEE.
Author: Abiel Reinhart <abielr@gmail.com>
Maintainer: Abiel Reinhart <abielr@gmail.com>

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Package lme4 updated to version 1.1-13 with previous version 1.1-12 dated 2016-04-16

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut], Martin Maechler [aut], Ben Bolker [aut, cre], Steven Walker [aut], Rune Haubo Bojesen Christensen [ctb], Henrik Singmann [ctb], Bin Dai [ctb], Gabor Grothendieck [ctb], Peter Green [ctb]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

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More information about lme4 at CRAN
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