Sun, 24 Mar 2019

Package wrapr updated to version 1.8.5 with previous version 1.8.4 dated 2019-02-19

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools:strmacro()' and 'base::bquote()'), '%.>%' dot-pipe (an 'S3' configurable pipe), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between wrapr versions 1.8.4 dated 2019-02-19 and 1.8.5 dated 2019-03-24

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More information about wrapr at CRAN
Permanent link

Package geomorph updated to version 3.1.0 with previous version 3.0.7 dated 2018-07-27

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams, Michael Collyer, Antigoni Kaliontzopoulou
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 3.0.7 dated 2018-07-27 and 3.1.0 dated 2019-03-24

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More information about geomorph at CRAN
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Package listarrays updated to version 0.2.0 with previous version 0.1.0 dated 2018-04-23

Title: A Toolbox for Working with R Arrays in a Functional Programming Style
Description: A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <kalinowskit@gmail.com>

Diff between listarrays versions 0.1.0 dated 2018-04-23 and 0.2.0 dated 2019-03-24

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 33 files changed, 1700 insertions(+), 1586 deletions(-)

More information about listarrays at CRAN
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New package rocTree with initial version 1.0.0
Package: rocTree
Title: Receiver Operating Characteristic (ROC)-Guided Classification and Survival Tree
Version: 1.0.0
Authors@R: c(person("Yifei", "Sun", email = "ys3072@cumc.columbia.edu", role = "aut"), person("Mei-Cheng", "Wang", email = "mcwang@jhu.edu", role = "aut"), person("Sy Han", "Chiou", email = "schiou@utdallas.edu", role = c("aut", "cre")))
Description: Receiver Operating Characteristic (ROC)-guided survival trees and forests algorithms are implemented, providing a unified framework for tree-structured analysis with censored survival outcomes. A time-invariant partition scheme on the survivor population was considered to incorporate time-dependent covariates. Motivated by ideas of randomized tests, generalized time-dependent ROC curves were used to evaluate the performance of survival trees and establish the optimality of the target hazard function. The optimality of the target hazard function motivates us to use a weighted average of the time-dependent area under the curve (AUC) on a set of time points to evaluate the prediction performance of survival trees and to guide splitting and pruning. A detailed description of the implemented methods can be found in Sun et al. (2019) <arXiv:1809.05627>.
Depends: R (>= 3.4.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: DiagrammeR (>= 1.0.0), parallel, data.tree (>= 0.7.5), graphics, stats, survival (>= 2.38), methods, tibble, dplyr, ggplot2, MASS, flexsurv
URL: http://github.com/stc04003/rocTree
BugReports: http://github.com/stc04003/rocTree/issues
NeedsCompilation: yes
Packaged: 2019-03-20 16:21:55 UTC; schiou
Author: Yifei Sun [aut], Mei-Cheng Wang [aut], Sy Han Chiou [aut, cre]
Maintainer: Sy Han Chiou <schiou@utdallas.edu>
Repository: CRAN
Date/Publication: 2019-03-24 19:50:02 UTC

More information about rocTree at CRAN
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New package legocolors with initial version 0.1.2
Package: legocolors
Title: Official Lego Color Palettes
Version: 0.1.2
Authors@R: person(given = "Matthew", family = "Leonawicz", role = c("aut", "cre"), email = "matt_leonawicz@esource.com")
Description: Provides a dataset containing several color naming conventions established by multiple sources, along with associated color metadata. The package also provides related helper functions for mapping among the different Lego color naming conventions and between Lego colors, hex colors, and 'R' color names. The functions include nearest color matching based on Euclidean distance in RGB space. Naming conventions for color mapping include those from 'BrickLink' (<https://www.bricklink.com>), 'The Lego Group' (<https://www.lego.com>), 'LDraw' (<https://www.ldraw.org/>), and 'Peeron' (<http://www.peeron.com/>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/leonawicz/legocolors
BugReports: https://github.com/leonawicz/legocolors/issues
Depends: R (>= 2.10)
Suggests: testthat, covr
Language: en-US
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-20 14:20:53 UTC; Matt
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <matt_leonawicz@esource.com>
Repository: CRAN
Date/Publication: 2019-03-24 19:10:03 UTC

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New package ideamdb with initial version 0.0.9
Package: ideamdb
Type: Package
Title: Easy Manipulation of IDEAM's Climatological Data
Version: 0.0.9
Authors@R: c( person("Luz Maria", "Morales", email = "lummoralesgo@unal.edu.co", role = c("aut", "cre")), person("Edwin", "Echeverri", email = "eecheverris@unal.edu.co", role = "aut"), person("Kenneth Roy", "Cabrera", email = "krcabrer@unal.edu.co", role = "aut"))
Description: Time series plain text conversion and data visualization. It allows to transform IDEAM (Instituto de Hidrologia, Meteorologia y Estudios Ambientales) daily series from plain text to CSV files or data frames in R. Additionally, it is possible to obtain exploratory graphs from times series. IDEAM’s data is freely delivered under formal request through the official web page <http://www.ideam.gov.co/solicitud-de-informacion>.
License: GPL (>= 2)
Depends: R (>= 2.10)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: stringr, tidyr, dplyr, ggplot2, utils, graphics
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-20 04:29:06 UTC; ees_o
Author: Luz Maria Morales [aut, cre], Edwin Echeverri [aut], Kenneth Roy Cabrera [aut]
Maintainer: Luz Maria Morales <lummoralesgo@unal.edu.co>
Repository: CRAN
Date/Publication: 2019-03-24 19:10:06 UTC

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Package FSAdata updated to version 0.3.7 with previous version 0.3.6 dated 2017-03-12

Title: Data to Support Fish Stock Assessment ('FSA') Package
Description: The datasets to support the Fish Stock Assessment ('FSA') package.
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>)
Maintainer: Derek Ogle <derek@derekogle.com>

Diff between FSAdata versions 0.3.6 dated 2017-03-12 and 0.3.7 dated 2019-03-24

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Package fourierin updated to version 0.2.3 with previous version 0.2.2 dated 2017-05-15

Title: Computes Numeric Fourier Integrals
Description: Computes Fourier integrals of functions of one and two variables using the Fast Fourier transform. The Fourier transforms must be evaluated on a regular grid.
Author: Guillermo Basulto-Elias
Maintainer: Guillermo Basulto-Elias <guillermobasulto@gmail.com>

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Package WufooR updated to version 0.9 with previous version 0.8 dated 2018-03-14

Title: R Wrapper for the 'Wufoo.com' - The Form Building Service
Description: Allows form managers to download entries from their respondents using Wufoo JSON API (<https://www.wufoo.com>). Additionally, the Wufoo reports - when public - can be also acquired programmatically. Note that building new forms within this package is not supported.
Author: John Malc [aut, cre] (@dmpe), Maksim Pecherskiy [ctb] (@MrMaksimize)
Maintainer: John Malc <cincenko@outlook.com>

Diff between WufooR versions 0.8 dated 2018-03-14 and 0.9 dated 2019-03-24

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Package vistime updated to version 0.8.1 with previous version 0.8.0 dated 2019-03-03

Title: Pretty Timeline Creation
Description: Create interactive timelines or Gantt charts that are usable in the 'RStudio' viewer pane, in 'R Markdown' documents and in 'Shiny' apps. Hover the mouse pointer over a point or task to show details or drag a rectangle to zoom in. Timelines and their components can afterwards be manipulated using 'plotly_build()', which transforms the plot into a mutable list.
Author: Sandro Raabe [aut, cre]
Maintainer: Sandro Raabe <shosaco_nospam@hotmail.com>

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Package RRPP updated to version 0.4.0 with previous version 0.3.0 dated 2018-07-23

Title: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Description: Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This method is described by Collyer, Sekora, & Adams (2015) <doi:10.1038/hdy.2014.75>. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer, Dean Adams
Maintainer: Michael Collyer <mlcollyer@gmail.com>

Diff between RRPP versions 0.3.0 dated 2018-07-23 and 0.4.0 dated 2019-03-24

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New package spsh with initial version 1.0.4
Package: spsh
Type: Package
Title: Estimation and Prediction of Parameters of Various Soil Hydraulic Property Models
Version: 1.0.4
Date: 2019-03-19
Author: Tobias KD Weber [aut, cre], Efstathios Diamantopoulos [ctb],Mélanie Weynants [ctb]
Maintainer: Tobias KD Weber <tobias.weber@uni-hohenheim.de>
Description: Estimates model parameters of soil hydraulic property functions by inverting measured data. A wide range of hydraulic models, weighting schemes, global optimization algorithms, Markov chain Monte Carlo samplers, and extended statistical analyses of results are provided. Prediction of soil hydraulic property model parameters and common soil properties using pedotransfer functions is facilitated. Models include the unimodal van Genuchten-Mualem Model (van Genuchten, M.T. (1980) <doi:10.2136/sssaj1980.03615995004400050002x>, Mualem, Y. (1976) <doi:10.1029/WR012i003p00513>), the multimodel van Genuchten-Mualem model (Durner, W. (1994) <doi:10.1029/93WR02676> and Priesack, E. and Durner, W. (2006) <doi:10.2136/vzj2005.0066>, as used in Weber, T.K.D., Iden, S.C., and Durner, W. (2017a) <doi:10.1002/2016WR019707>, Weber, T.K.D., Iden, S.C., and Durner, W. (2017b <doi:10.5194/hess-21-6185-2017>), the Kosugi 2 parametric-Mualem model (Kosugi, K. (1996) <doi:10.1029/96WR01776>) and the Fredlund-Xing model (Fredlund D.G., and Xing, A. (1994) <doi:10.1139/t94-061>). All models can be extended to account for non-capillary water storage and transport. The isothermal vapour conductivity (Saito, H., Simunek, J. and Mohanty, B.P. (2006) <doi:10.2136/vzj2006.0007>)is calculated based on volumetric air space and a selection of different tortuosity models (Grable, A.R., Siemer, E.G. (1968) <doi:10.2136/sssaj1968.03615995003200020011x>, Lai, S.H., Tiedje J.M., Erickson, E. (1976) <doi:10.2136/sssaj1976.03615995004000010006x>, Moldrup, P., Olesen, T., Rolston, D.E., and Yamaguchi, T. (1997) <doi:10.1097/00010694-199709000-00004>, Moldrup, P., Olesen, T., Yoshikawa, S., Komatsu, T., and Rolston, D.E. (2004) <doi:10.2136/sssaj2004.7500>, Moldrup, P., Olesen, T., Yoshikawa, S., Komatsu, T., and Rolston, D.E. (2005) <doi:10.1097/01.ss.0000196768.44165.1f>, Millington, R.J., Quirk, J.P. (1961) <doi:10.1039/TF9615701200>, Penman, H.L. (1940) <doi:10.1017/S0021859600048164>, and Xu, X, Nieber, J.L. Gupta, S.C. (1992) <doi:10.2136/sssaj1992.03615995005600060014x>). Parameter estimation is based on identically and independentally distributed (weighted) model residuals (Seber and Wild (2003, ISBN:9780471617600)), and simple model selection criteria (Hoege, M., Woehling, T., and Nowak, W. (2018) <doi:10.1002/2017WR021902>) can be calculated.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 6.1.0
LazyData: true
Depends: DEoptim (>= 2.2.4), lhs (>= 0.16.0), pracma (>= 2.1.4), FME (>= 1.3.5)
NeedsCompilation: no
Packaged: 2019-03-19 18:40:42 UTC; tkdweber
Repository: CRAN
Date/Publication: 2019-03-24 17:10:03 UTC

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New package ksNN with initial version 0.1.0
Encoding: UTF-8
Package: ksNN
Type: Package
Title: K* Nearest Neighbors Algorithm
Version: 0.1.0
Authors@R: c( person("Kei","Nakagawa",email="kei.nak.0315@gmail.com",role=c("aut","cre"),comment = c(ORCID = "0000-0001-5046-8128")), person("Shingo","Sashida",email="gs449901@gmail.com",role=c("aut")) )
Description: Prediction with k* nearest neighbor algorithm based on a publication by Anava and Levy (2016) <arXiv:1701.07266>.
License: GPL (>= 2)
Author: Kei Nakagawa [aut, cre] (<https://orcid.org/0000-0001-5046-8128>), Shingo Sashida [aut]
Maintainer: Kei Nakagawa <kei.nak.0315@gmail.com>
LazyData: TRUE
Imports: stats, Rcpp
Depends: R(>= 3.0.2)
LinkingTo: Rcpp(>= 0.10.6)
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-03-20 09:00:41 UTC; SSunix
Repository: CRAN
Date/Publication: 2019-03-24 17:40:03 UTC

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New package DAIME with initial version 0.1
Package: DAIME
Type: Package
Title: Effects of Changing Deposition Rates
Version: 0.1
Date: 2019-03-19
Author: Niklas Hohmann
Maintainer: Niklas Hohmann <Niklas.Hohmann@fau.de>
Description: Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .
License: CC BY 4.0
Depends: stats
NeedsCompilation: no
Packaged: 2019-03-19 19:04:16 UTC; nick
Repository: CRAN
Date/Publication: 2019-03-24 17:26:11 UTC

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Package hR updated to version 0.1.8 with previous version 0.1.7 dated 2019-02-08

Title: Toolkit for Data Analytics in Human Resources
Description: Transform and analyze workforce data in meaningful ways for human resources (HR) analytics. Two functions, 'hierarchyLong' and 'hierarchyWide', convert standard employee and supervisor relationship data into useful formats. A 'workforcePlan' app is available for simple workforce planning.
Author: Dale Kube [aut, cre]
Maintainer: Dale Kube <dkube@uwalumni.com>

Diff between hR versions 0.1.7 dated 2019-02-08 and 0.1.8 dated 2019-03-24

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Package trackeR updated to version 1.4.1 with previous version 1.4 dated 2019-03-14

Title: Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices
Description: Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) <doi: 10.18637/jss.v082.i07>, which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>), Hannah Frick [aut] (<https://orcid.org/0000-0002-6049-5258>), Robin Hornak [aut]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

Diff between trackeR versions 1.4 dated 2019-03-14 and 1.4.1 dated 2019-03-24

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Package scBio updated to version 0.1.3 with previous version 0.1.2 dated 2018-10-21

Title: Single Cell Genomics for Enhancing Cell Composition Inference from Bulk Genomics Data
Description: Cellular population mapping (CPM) a deconvolution algorithm in which single-cell genomics is required in only one or a few samples, where in other samples of the same tissue, only bulk genomics is measured and the underlying fine resolution cellular heterogeneity is inferred.
Author: Amit Frishberg [aut, cre], Naama Peshes-Yaloz [aut], Irit Gat-Viks [aut]
Maintainer: Amit Frishberg <amfrishberg@gmail.com>

Diff between scBio versions 0.1.2 dated 2018-10-21 and 0.1.3 dated 2019-03-24

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Package Replicate updated to version 1.1.0 with previous version 1.0.1 dated 2017-10-09

Title: Statistical Metrics for Multisite Replication Studies
Description: For a multisite replication project, computes metrics and confidence intervals representing: (1) the probability that the original study would observe an estimated effect size as extreme or more extreme than it actually did, if in fact the original study is statistically consistent with the replications; (2) the probability of a true effect of scientifically meaningful size in the same direction as the estimate the original study; and (3) the probability of a true effect of meaningful size in the direction opposite the original study's estimate. Additionally computes older metrics used in replication projects (namely expected agreement in "statistical significance" between an original study and replication studies as well as prediction intervals for the replication estimates). See Mathur and VanderWeele (2017; <https://osf.io/apnjk/>) for details.
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

Diff between Replicate versions 1.0.1 dated 2017-10-09 and 1.1.0 dated 2019-03-24

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Package MetaUtility updated to version 1.1.0 with previous version 1.0.0 dated 2019-02-26

Title: Utility Functions for Conducting and Reporting Meta-Analysis
Description: Contains functions to estimate the proportion of effects stronger than a threshold of scientific importance (per Mathur & VanderWeele, 2018 [<https://onlinelibrary.wiley.com/doi/full/10.1002/sim.8057>]), to make various effect size conversions, to compute and format inference in a meta-analysis, and to scrape results from existing meta-analyses for re-analysis.
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

Diff between MetaUtility versions 1.0.0 dated 2019-02-26 and 1.1.0 dated 2019-03-24

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Package fbroc updated to version 0.4.1 with previous version 0.4.0 dated 2016-06-21

Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description: Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>

Diff between fbroc versions 0.4.0 dated 2016-06-21 and 0.4.1 dated 2019-03-24

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New package MaxMC with initial version 0.1.1
Package: MaxMC
Type: Package
Title: Maximized Monte Carlo
Date: 2019-03-12
Version: 0.1.1
Authors@R: c(person("Julien", "Neves", email = "jmn252@cornell.edu", role = c("aut", "cre")), person("Jean-Marie", "Dufour", email = "jean-marie.dufour@mcgill.ca", role = c("aut")))
Maintainer: Julien Neves <jmn252@cornell.edu>
Description: An implementation of the Monte Carlo techniques described in details by Dufour (2006) <doi:10.1016/j.jeconom.2005.06.007> and Dufour and Khalaf (2007) <doi:10.1002/9780470996249.ch24>. The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.
License: GPL (>= 3)
LazyData: TRUE
RoxygenNote: 6.1.1
Encoding: UTF-8
URL: https://github.com/julienneves/MaxMC
Suggests: fUnitRoots, microbenchmark, boot, MASS, knitr, rmarkdown
Imports: GenSA, pso, GA, NMOF, scales, stats, graphics, utils
NeedsCompilation: no
Packaged: 2019-03-24 07:54:48 UTC; julien
Author: Julien Neves [aut, cre], Jean-Marie Dufour [aut]
Repository: CRAN
Date/Publication: 2019-03-24 09:06:11 UTC

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New package MCMCtreeR with initial version 0.1
Package: MCMCtreeR
Title: Prepare MCMCtree Analyses and Plot Bayesian Divergence Time Analyses Estimates on Trees
Version: 0.1
Author: Mark Puttick [aut,cre]
Maintainer: Mark Puttick <mark.puttick@bristol.ac.uk>
Description: Provides functions to prepare time priors for 'MCMCtree' analyses in the 'PAML' software from Yang (2007)<doi:10.1093/molbev/msm088> and plot time-scaled phylogenies from any Bayesian divergence time analysis. Most time-calibrated node prior distributions require user-specified parameters. The package provides functions to refine these parameters, so that the resulting prior distributions accurately reflect confidence in known, usually fossil, time information. These functions also enable users to visualise distributions and write 'MCMCtree' ready input files. Additionally, the package supplies flexible functions to visualise age uncertainty on a plotted tree with either using node bars, using branch widths proportional to the age uncertainty, or by plotting the full posterior distributions on nodes. The package also gives options to include the geological timescale and other details alongside the plotted phylogeny. All plotting functions these are applicable with output from any Bayesian software, not just 'MCMCtree'.
Depends: R (>= 3.3), ape (>= 3.0-7), sn, coda
Imports: methods, utils, stats, grDevices, graphics
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr
NeedsCompilation: no
Packaged: 2019-03-23 14:55:43 UTC; markputtick
Repository: CRAN
Date/Publication: 2019-03-24 08:46:15 UTC

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New package akmedoids with initial version 0.1.0
Package: akmedoids
Type: Package
Title: Anchored Kmedoids for Longitudinal Data Clustering
Version: 0.1.0
Date: 2019-03-19
Author: Monsuru Adepeju [cre, aut], Samuel Langton [aut], Jon Bannister [aut]
Maintainer: Monsuru Adepeju <monsuur2010@yahoo.com>
Description: Advances a novel adaptation of longitudinal k-means clustering technique (Genolini et al. (2015) <doi:10.18637/jss.v065.i04>) for grouping trajectories based on the similarities of their long-term trends and determines the optimal solution based on the Calinski-Harabatz criterion (Calinski and Harabatz (1974) <doi:10.1080/03610927408827101>). Includes functions to extract descriptive statistics and generate a visualisation of the resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016) <doi:10.1007/978-3-319-24277-4>). The package also includes a number of other useful functions for exploring and manipulating longitudinal data prior to the clustering process.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: kml, Hmisc, ggplot2, utils, reshape2, longitudinalData
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-03-22 10:59:59 UTC; monsu
Repository: CRAN
Date/Publication: 2019-03-24 08:23:25 UTC

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Package uroot updated to version 2.0-9.1 with previous version 2.0-9 dated 2017-01-29

Title: Unit Root Tests for Seasonal Time Series
Description: Seasonal unit roots and seasonal stability tests. P-values based on response surface regressions are available for both tests. P-values based on bootstrap are available for seasonal unit root tests. A parallel implementation of the bootstrap method requires a CUDA capable GPU with compute capability >= 3.0, otherwise a debugging version fully coded in R is used.
Author: Javier López-de-Lacalle <javlacalle@yahoo.es>
Maintainer: ORPHANED

Diff between uroot versions 2.0-9 dated 2017-01-29 and 2.0-9.1 dated 2019-03-24

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New package SemNetDictionaries with initial version 0.1.0
Package: SemNetDictionaries
Title: Dictionaries for the 'SemNetCleaner' Package
Version: 0.1.0
Date: 2019-03-22
Author: Alexander P. Christensen
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>
Description: Implements dictionaries that can be used in the 'SemNetCleaner' package. Also includes several functions aimed at facilitating the text cleaning analysis in the 'SemNetCleaner' package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the 'SemNetDictionaries' package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.
Depends: R (>= 3.3.0)
License: GPL (>= 3.0)
URL: https://github.com/AlexChristensen/SemNetDictionaries
BugReports: https://github.com/AlexChristensen/SemNetDictionaries/issues
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Imports: SemNetCleaner, tcltk
RoxygenNote: 6.1.1
Packaged: 2019-03-23 14:11:50 UTC; APCHRIST
Repository: CRAN
Date/Publication: 2019-03-24 07:43:21 UTC

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Package pense (with last version 1.2.1) was removed from CRAN

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

2019-01-17 1.2.1
2018-03-10 1.2.0
2017-11-03 1.0.8
2017-10-25 1.0.6

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Package ensembleEN (with last version 1.1.2) was removed from CRAN

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

2018-02-10 1.1.2
2018-01-04 1.1.1

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Package texteffect updated to version 0.3 with previous version 0.2 dated 2018-12-16

Title: Discovering Latent Treatments in Text Corpora and Estimating Their Causal Effects
Description: Implements the approach described in Fong and Grimmer (2016) <https://aclweb.org/anthology/P/P16/P16-1151.pdf> for automatically discovering latent treatments from a corpus and estimating the average marginal component effect (AMCE) of each treatment. The data is divided into a training and test set. The supervised Indian Buffet Process (sibp) is used to discover latent treatments in the training set. The fitted model is then applied to the test set to infer the values of the latent treatments in the test set. Finally, Y is regressed on the latent treatments in the test set to estimate the causal effect of each treatment.
Author: Christian Fong <christianfong@stanford.edu>
Maintainer: Christian Fong <christianfong@stanford.edu>

Diff between texteffect versions 0.2 dated 2018-12-16 and 0.3 dated 2019-03-24

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Package quantmod updated to version 0.4-14 with previous version 0.4-13 dated 2018-04-13

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, aut], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4-13 dated 2018-04-13 and 0.4-14 dated 2019-03-24

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