Mon, 27 Mar 2017

New package hmi with initial version 0.6.3
Package: hmi
Type: Package
Title: Hierarchical Multiple Imputation
Version: 0.6.3
Authors@R: c( person("Matthias", "Speidel", , "matthias.speidel@googlemail.com", role = c("aut", "cre"), comment = "Institute for Employment Research, Nuremberg, Germany"), person("Joerg", "Drechsler", role = "aut", comment = "Institute for Employment Research, Nuremberg, Germany"), person("Shahab", "Jolani", role = "aut", comment = "Maastricht University, Maastricht, The Netherlands"))
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>
Description: Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
BugReports: http://github.com/matthiasspeidel/hmi/issues
Imports: boot (>= 1.3-18), coda (>= 0.18-1), linLIR (>= 1.1), lme4 (>= 1.1-12), MASS (>= 7.3-45), Matrix (>= 1.2), MCMCglmm (>= 2.22.1), mice (>= 2.25), msm (>= 1.6.4), mvtnorm (>= 1.0-5), pbivnorm (>= 0.6.0), stats (>= 3.0.0), tmvtnorm (>= 1.4-10), tree (>= 1.0-37), utils, Rcpp
Suggests: knitr, rmarkdown
Depends: R (>= 3.0.0)
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
VignetteBuilder: knitr
URL: http://github.com/matthiasspeidel/hmi
NeedsCompilation: no
Packaged: 2017-03-27 16:04:59 UTC; Matthias
Author: Matthias Speidel [aut, cre] (Institute for Employment Research, Nuremberg, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Repository: CRAN
Date/Publication: 2017-03-27 16:21:51 UTC

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New package BatchMap with initial version 1.0.0.0
Package: BatchMap
Title: Software for the Creation of High Density Linkage Maps in Outcrossing Species
Version: 1.0.0.0
Description: Algorithms that build on the 'OneMap' package to create linkage maps from high density data in outcrossing species in reasonable time frames.
Date: 2017-03-07
Authors@R: c(person("Bastian", "Schiffthaler", role = c("aut","cre"), email = "bastian.schiffthaler@umu.se"), person("Gabriel", "Margarido", role = "aut", email = "gramarga@usp.br"), person("Marcelo", "Mollinari", role = c("aut"), email = "mmollina@usp.br"), person("Karl", "Broman", role = "ctb", email = "kbroman@biostat.wisc.edu"), person("Augusto", "Garcia", role = c("aut", "ctb"), email = "augusto.garcia@usp.br"))
LinkingTo: Rcpp (>= 0.10.5), RcppArmadillo (>= 0.7.700)
Depends: parallel (>= 3.2.3), ggplot2 (>= 1.0.1), R (>= 3.2.0)
Imports: reshape2 (>= 1.4.1), methods
Suggests: knitr (>= 1.10), rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
URL: https://github.com/bschiffthaler/BatchMap
BugReports: https://github.com/bschiffthaler/BatchMap/issues
Maintainer: Bastian Schiffthaler <bastian.schiffthaler@umu.se>
Repository: CRAN
NeedsCompilation: yes
Date/Publication: 2017-03-27 16:21:55 UTC
RoxygenNote: 6.0.1
Packaged: 2017-03-27 15:44:24 UTC; root
Author: Bastian Schiffthaler [aut, cre], Gabriel Margarido [aut], Marcelo Mollinari [aut], Karl Broman [ctb], Augusto Garcia [aut, ctb]

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Package qrcm updated to version 2.1 with previous version 2.0 dated 2017-02-03

Title: Quantile Regression Coefficients Modeling
Description: Parametric modeling of quantile regression coefficient functions. Can be used with censored and truncated data.
Author: Paolo Frumento <paolo.frumento@ki.se>
Maintainer: Paolo Frumento <paolo.frumento@ki.se>

Diff between qrcm versions 2.0 dated 2017-02-03 and 2.1 dated 2017-03-27

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Package qgraph updated to version 1.4.3 with previous version 1.4.2 dated 2017-01-21

Title: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description: Can be used to visualize data as networks as well as provides an interface for visualizing weighted graphical models.
Author: Sacha Epskamp, Giulio Costantini, Jonas Haslbeck, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann and Denny Borsboom
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between qgraph versions 1.4.2 dated 2017-01-21 and 1.4.3 dated 2017-03-27

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New package pivottabler with initial version 0.1.0
Package: pivottabler
Type: Package
Title: Create Pivot Tables in R
Version: 0.1.0
Authors@R: person("Christopher", "Bailiss", email = "cbailiss@gmail.com", role = c("aut", "cre"))
Description: Create regular pivot tables with just a few lines of R. More complex pivot tables can also be created, e.g. pivot tables with irregular layouts, multiple calculations and/or derived calculations based on multiple data frames.
Depends: R (>= 3.2.0)
Imports: R6 (>= 2.2.0), dplyr (>= 0.5.0), jsonlite (>= 1.1), htmltools(>= 0.3.5), htmlwidgets (>= 0.8)
Suggests: lubridate (>= 1.5.0), listviewer (>= 1.4.0), digest (>= 0.6.9), shiny, knitr, rmarkdown, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/cbailiss/pivottabler
BugReports: https://github.com/cbailiss/pivottabler/issues
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-27 07:01:17 UTC; bailis01
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-27 15:21:54 UTC

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Package MGLM updated to version 0.0.8 with previous version 0.0.7 dated 2016-02-17

Title: Multivariate Response Generalized Linear Models
Description: Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.
Author: Yiwen Zhang <zhangyiwen1015@gmail.com> and Hua Zhou <huazhou@ucla.edu>
Maintainer: Yiwen Zhang <zhangyiwen1015@gmail.com>

Diff between MGLM versions 0.0.7 dated 2016-02-17 and 0.0.8 dated 2017-03-27

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 32 files changed, 1138 insertions(+), 1222 deletions(-)

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Package loo updated to version 1.1.0 with previous version 1.0.0 dated 2016-12-16

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. We also compute the widely applicable information criterion (WAIC).
Author: Aki Vehtari [aut], Andrew Gelman [aut], Jonah Gabry [cre, aut], Juho Piironen [ctb], Ben Goodrich [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between loo versions 1.0.0 dated 2016-12-16 and 1.1.0 dated 2017-03-27

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Package graphkernels updated to version 1.1 with previous version 1.0 dated 2017-03-16

Title: Graph Kernels
Description: A fast C++ implementation for computing various graph kernels including (1) simple kernels between vertex and/or edge label histograms, (2) random walk kernels (popular baselines), and (3) the Weisfeiler-Lehman graph kernel (state-of-the-art).
Author: Mahito Sugiyama
Maintainer: Mahito Sugiyama <mahito@ar.sanken.osaka-u.ac.jp>

Diff between graphkernels versions 1.0 dated 2017-03-16 and 1.1 dated 2017-03-27

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New package CorporaCoCo with initial version 1.0-1
Encoding: UTF-8
Package: CorporaCoCo
Type: Package
Title: Corpora Co-Occurrence Comparison
Version: 1.0-1
Date: 2017-03-26
Authors@R: c(person('Anthony','Hennessey',email='anthony.hennessey@nottingham.ac.uk',role=c('aut','cre')), person('Viola','Wiegand',email='v.wiegand@bham.ac.uk',role='aut'), person('Michaela','Malberg',email='m.a.mahlberg@bham.ac.uk',role='aut'), person('Christopher R.','Tench',email='christopher.tench@nottingham.ac.uk',role='aut'), person('Jamie','Lentin',email='jm@ravingmantis.com',role='aut'))
Description: A set of functions used to compare co-occurrence between two corpora.
URL:
License: GPL (>= 3)
Depends: R (>= 3.1.0),
Imports: methods, stats, data.table (>= 1.9.6), RColorBrewer, rlist
Suggests: unittest, stringi
BugReports: https://github.com/ravingmantis/CorporaCoCo/issues
LazyData: yes
NeedsCompilation: no
Packaged: 2017-03-26 17:25:00 UTC; albert
Author: Anthony Hennessey [aut, cre], Viola Wiegand [aut], Michaela Malberg [aut], Christopher R. Tench [aut], Jamie Lentin [aut]
Maintainer: Anthony Hennessey <anthony.hennessey@nottingham.ac.uk>
Repository: CRAN
Date/Publication: 2017-03-27 15:21:49 UTC

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Package viridis updated to version 0.4.0 with previous version 0.3.4 dated 2016-03-12

Title: Default Color Maps from 'matplotlib'
Description: Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridis versions 0.3.4 dated 2016-03-12 and 0.4.0 dated 2017-03-27

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Package TSHRC updated to version 0.1-5 with previous version 0.1-4 dated 2016-11-28

Title: Two Stage Hazard Rate Comparison
Description: Two-stage procedure compares hazard rate functions, which may or may not cross each other.
Author: Jun Sheng, Peihua Qiu <qiu@stat.umn.edu>, and Charles J. Geyer <charlie@stat.umn.edu>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

Diff between TSHRC versions 0.1-4 dated 2016-11-28 and 0.1-5 dated 2017-03-27

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Package pgirmess updated to version 1.6.7 with previous version 1.6.6 dated 2017-03-26

Title: Data Analysis in Ecology
Description: Miscellaneous functions for data analysis in ecology, with special emphasis on spatial data.
Author: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

Diff between pgirmess versions 1.6.6 dated 2017-03-26 and 1.6.7 dated 2017-03-27

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Package mtconnectR updated to version 1.1.0 with previous version 1.0.1 dated 2016-08-02

Title: Read Data from Delimited 'MTConnect' Data Files and Perform some Analysis
Description: Read data in the 'MTConnect'<http://www.mtconnect.org/> standard. You can use the package to read data from historical 'MTConnect logs' along with the 'devices.xml' describing the device. The data is organised into a 'MTConnectDevice' S4 data structure and some convenience methods are also provided for basic read/view operations. The package also includes some functions for analysis of 'MTConnect' data. This includes functions to simulate data (primarily position data, feed rate and velocities) based on the G code and visualisation functions to compare the actual and simulated data.
Author: Alex Joseph [aut], Sainath Adapa [aut], Nitin Madasu [aut], Subramanyam Ravishankar [aut, cre]
Maintainer: Subramanyam Ravishankar <subramanyam@systeminsights.com>

Diff between mtconnectR versions 1.0.1 dated 2016-08-02 and 1.1.0 dated 2017-03-27

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Package lulcc updated to version 1.0.2 with previous version 1.0.1 dated 2015-08-19

Title: Land Use Change Modelling in R
Description: Classes and methods for spatially explicit land use change modelling in R.
Author: Simon Moulds <sim.moulds@gmail.com>
Maintainer: Simon Moulds <sim.moulds@gmail.com>

Diff between lulcc versions 1.0.1 dated 2015-08-19 and 1.0.2 dated 2017-03-27

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Package joineRML updated to version 0.2.0 with previous version 0.1.1 dated 2016-12-30

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [aut], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R)
Maintainer: Graeme L. Hickey <graeme.hickey@liverpool.ac.uk>

Diff between joineRML versions 0.1.1 dated 2016-12-30 and 0.2.0 dated 2017-03-27

 joineRML-0.1.1/joineRML/R/approxSE.R                                                                        |only
 joineRML-0.1.1/joineRML/R/fast_nearPD.R                                                                     |only
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 joineRML-0.1.1/joineRML/man/bSim.Rd                                                                         |only
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 joineRML-0.2.0/joineRML/LICENSE                                                                             |  898 +++++++---
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 joineRML-0.2.0/joineRML/NAMESPACE                                                                           |   21 
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 joineRML-0.2.0/joineRML/R/bootSE.R                                                                          |   41 
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 joineRML-0.2.0/joineRML/R/convMonitor.R                                                                     |    2 
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 joineRML-0.2.0/joineRML/R/getVarCov.mjoint.R                                                                |   18 
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 joineRML-0.2.0/joineRML/R/mvlme.R                                                                           |   24 
 joineRML-0.2.0/joineRML/R/pbc2.R                                                                            |   18 
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 joineRML-0.2.0/joineRML/man/getVarCov.mjoint.Rd                                                             |   17 
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Package jmvcore updated to version 0.5.1 with previous version 0.5.0 dated 2017-03-25

Title: Dependencies for the 'jamovi' Framework
Description: 'jamovi' is a framework for creating rich interactive statistical analyses (see <https://www.jamovi.org> for more information). This package represents the core libraries which jamovi analyses written in R depend upon.
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

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Package graphicalVAR updated to version 0.2 with previous version 0.1.4 dated 2016-07-03

Title: Graphical VAR for Experience Sampling Data
Description: Estimates within and between time point interactions in experience sampling data, using the Graphical VAR model in combination with LASSO and EBIC.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package flexsurv updated to version 1.1 with previous version 1.0.0 dated 2016-05-11

Title: Flexible Parametric Survival and Multi-State Models
Description: Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models.
Author: Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package easyDes updated to version 2.0 with previous version 1.0 dated 2017-01-03

Title: An Easy Way to Descriptive Analysis
Description: Descriptive analysis is essential for publishing medical articles. This package provides an easy way to conduct the descriptive analysis. 1. Both numeric and factor variables can be handled. For numeric variables, normality test will be applied to choose the parametric and nonparametric test. 2. Both two or more groups can be handled. For groups more than two, the post hoc test will be applied, 'Tukey' for the numeric variables and 'FDR' for the factor variables. 3. T test, ANOVA or Fisher test can be forced to apply.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>

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Package dfmta updated to version 1.4 with previous version 1.3-4 dated 2016-06-21

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Description: Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization" (in review).
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

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Package dfcomb updated to version 2.2 with previous version 2.1-6 dated 2016-06-21

Title: Phase I/II Adaptive Dose-Finding Design for Combination Studies
Description: Phase I/II adaptive dose-finding design for combination studies. Several methods are proposed depending on the type of combinations: (1) the combination of two cytotoxic agents, and (2) combination of a molecularly targeted agent with a cytotoxic agent.
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

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Package bupaR updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-26

Title: Business Process Analytics in R
Description: Functionalities for process analysis in R. This packages implements an S3-class for event log objects, and related handler functions. Imports related packages for subsetting event data, computation of descriptive statistics, handling of Petri Net objects and visualization of process maps.
Author: Gert Janssenswillen
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package ArchaeoPhases updated to version 1.1 with previous version 1.0 dated 2017-02-07

Title: Post-Processing of the Markov Chain Simulated by 'ChronoModel', 'Oxcal' or 'BCal'
Description: Provides a list of functions for the statistical analysis of archaeological dates and groups of dates. It is based on the post-processing of the Markov Chains whose stationary distribution is the posterior distribution of a series of dates. Such output can be simulated by different applications as for instance 'ChronoModel' (see <http://www.chronomodel.fr>), 'Oxcal' (see <https://c14.arch.ox.ac.uk/oxcal.html>) or 'BCal' (see http://bcal.shef.ac.uk/). The only requirement is to have a csv file containing a sample from the posterior distribution.
Author: Anne Philippe [aut, cre], Marie-Anne Vibet [aut], Thomas S. Dye [ctb]
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>

Diff between ArchaeoPhases versions 1.0 dated 2017-02-07 and 1.1 dated 2017-03-27

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 43 files changed, 1265 insertions(+), 490 deletions(-)

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Package semPlot updated to version 1.1 with previous version 1.0.1 dated 2014-08-15

Title: Path Diagrams and Visual Analysis of Various SEM Packages' Output
Description: Path diagrams and visual analysis of various SEM packages' output.
Author: Sacha Epskamp, with contributions from Simon Stuber
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between semPlot versions 1.0.1 dated 2014-08-15 and 1.1 dated 2017-03-27

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More information about semPlot at CRAN
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Package POUMM updated to version 1.2.2 with previous version 1.2.1 dated 2017-03-12

Title: The Phylogenetic Ornstein-Uhlenbeck Mixed Model
Description: The Phylogenetic Ornstein-Uhlenbeck Mixed Model (POUMM) allows to estimate the phylogenetic heritability of continuous traits, to test hypotheses of neutral evolution versus stabilizing selection, to quantify the strength of stabilizing selection, to estimate measurement error and to make predictions about the evolution of a phenotype and phenotypic variation in a population. The package implements combined maximum likelihood and Bayesian inference of the univariate Phylogenetic Ornstein-Uhlenbeck Mixed Model, fast POUMM likelihood calculation, maximum likelihood inference of the genotypic values at the tips, functions for summarizing and plotting traces and posterior samples, functions for simulation of a univariate continuous trait evolution along a phylogenetic tree. A quick example on using the POUMM package can be found in the README. More elaborate examples and use-cases are provided in the vignette "A User Guide to The POUMM R-package".
Author: Venelin Mitov [aut, cre, cph]
Maintainer: Venelin Mitov <vmitov@gmail.com>

Diff between POUMM versions 1.2.1 dated 2017-03-12 and 1.2.2 dated 2017-03-27

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More information about POUMM at CRAN
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Package nanotime updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-04

Title: Nanosecond-Resolution Time for R
Description: Full 64-bit resolution date and time support with resolution up to nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between nanotime versions 0.1.1 dated 2017-02-04 and 0.1.2 dated 2017-03-27

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 8 files changed, 55 insertions(+), 19 deletions(-)

More information about nanotime at CRAN
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