Tue, 19 Dec 2017

Package widgetframe updated to version 0.3.1 with previous version 0.3.0 dated 2017-08-07

Title: 'Htmlwidgets' in Responsive 'iframes'
Description: Provides two functions 'frameableWidget()', and 'frameWidget()'. The 'frameableWidget()' is used to add extra code to a 'htmlwidget' which allows is to be rendered correctly inside a responsive 'iframe'. The 'frameWidget()' is a 'htmlwidget' which displays content of another 'htmlwidget' inside a responsive 'iframe'. These functions allow for easier embedding of 'htmlwidgets' in content management systems such as 'wordpress', 'blogger' etc. They also allow for separation of widget content from main HTML content where CSS of the main HTML could interfere with the widget.
Author: Bhaskar Karambelkar [aut, cre], Yihui Xie [ctb], NPR Visual Team [ctb, cph] (pym.js JavaScript library), Bjørn Klinggaard [ctb, cph] (bLazy.js JavaScript library)
Maintainer: Bhaskar Karambelkar <bhaskarvk@gmail.com>

Diff between widgetframe versions 0.3.0 dated 2017-08-07 and 0.3.1 dated 2017-12-19

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Package tinytex updated to version 0.2 with previous version 0.1 dated 2017-12-13

Title: Helper Functions to Install and Maintain 'TeX Live', and Compile 'LaTeX' Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.name/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] (0000-0003-0645-5666), RStudio, Inc. [cph]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between tinytex versions 0.1 dated 2017-12-13 and 0.2 dated 2017-12-19

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Package GWmodel updated to version 2.0-5 with previous version 2.0-4 dated 2017-05-21

Title: Geographically-Weighted Models
Description: In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. GWmodel includes functions to calibrate: GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

Diff between GWmodel versions 2.0-4 dated 2017-05-21 and 2.0-5 dated 2017-12-19

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Package PathSelectMP updated to version 1.1 with previous version 1.0 dated 2016-05-19

Title: Backwards Variable Selection for Paths using M Plus
Description: Primarily for use with datasets containing only categorical variables, although continuous variables may be included as independent variables in paths. Using M Plus, backward variable selection is performed on all Total, Total Indirect, and then Direct effects until none of these effects have p-values greater than the specified target p-value. If there are missing values in the data, imputations are performed using the Mice package. Then selection is performed with the imputed data sets, and results are averaged.
Author: William Terry, Meredith Ray, Hongmei Zhang
Maintainer: William Terry <wterryj6a214@gmail.com>

Diff between PathSelectMP versions 1.0 dated 2016-05-19 and 1.1 dated 2017-12-19

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Package withr updated to version 2.1.1 with previous version 2.1.0 dated 2017-11-01

Title: Run Code 'With' Temporarily Modified Global State
Description: A set of functions to run code 'with' safely and temporarily modified global state. Many of these functions were originally a part of the 'devtools' package, this provides a simple package with limited dependencies to provide access to these functions.
Author: Jim Hester [aut, cre], Kirill Müller [aut], Kevin Ushey [aut], Hadley Wickham [aut], Winston Chang [aut], Richard Cotton [ctb], RStudio [cph]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package visNetwork updated to version 2.0.2 with previous version 2.0.1 dated 2017-07-30

Title: Network Visualization using 'vis.js' Library
Description: Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.
Author: Almende B.V. [aut, cph] (vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home), Benoit Thieurmel [aut, cre] (R interface), Titouan Robert [aut, ctb]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between visNetwork versions 2.0.1 dated 2017-07-30 and 2.0.2 dated 2017-12-19

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Package tis updated to version 1.34 with previous version 1.32 dated 2017-01-26

Title: Time Indexes and Time Indexed Series
Description: Functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.
Author: Jeff Hallman <jeffhallman@gmail.com>
Maintainer: Brian Salzer <brian.m.salzer@frb.gov>

Diff between tis versions 1.32 dated 2017-01-26 and 1.34 dated 2017-12-19

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Package quantregForest updated to version 1.3-7 with previous version 1.3-6 dated 2017-11-14

Title: Quantile Regression Forests
Description: Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package 'randomForest', written by Andy Liaw.
Author: Nicolai Meinshausen
Maintainer: Loris Michel <michel@stat.math.ethz.ch>

Diff between quantregForest versions 1.3-6 dated 2017-11-14 and 1.3-7 dated 2017-12-19

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Package msde updated to version 1.0.3 with previous version 1.0.2 dated 2017-10-11

Title: Bayesian Inference for Multivariate Stochastic Differential Equations
Description: Implements an MCMC sampler for the posterior distribution of arbitrary time-homogeneous multivariate stochastic differential equation (SDE) models with possibly latent components. The package provides a simple entry point to integrate user-defined models directly with the sampler's C++ code, and parallelizes large portions of the calculations when compiled with 'OpenMP'.
Author: Martin Lysy [aut, cre], JunYong Tong [aut], Nigel Delaney [ctb]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>

Diff between msde versions 1.0.2 dated 2017-10-11 and 1.0.3 dated 2017-12-19

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Package MBESS updated to version 4.4.2 with previous version 4.4.1 dated 2017-11-01

Title: The MBESS R Package
Description: Implements methods that useful in designing research studies and analyzing data, with particular emphasis on methods that are developed for or used within the behavioral, educational, and social sciences (broadly defined). That being said, many of the methods implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a suite of functions for a variety of related topics, such as effect sizes, confidence intervals for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and minimum-risk point estimation perspectives), mediation analysis, various properties of distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but at this point MBESS contains methods applicable and used in a wide variety of fields and is an orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has greatly benefited from others, see <http://nd.edu/~kkelley/site/MBESS.html> for a detailed list of those that have contributed and other details.
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between MBESS versions 4.4.1 dated 2017-11-01 and 4.4.2 dated 2017-12-19

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Package labelled updated to version 1.0.1 with previous version 1.0.0 dated 2016-11-20

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'.
Author: Joseph Larmarange [aut, cre], Daniel Ludecke [ctb], Hadley Wickham [ctb], Bojanowski Michał [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between labelled versions 1.0.0 dated 2016-11-20 and 1.0.1 dated 2017-12-19

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Package Hmisc updated to version 4.1-0 with previous version 4.0-3 dated 2017-05-02

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>, with contributions from Charles Dupont and many others.
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>

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Package ggiraph updated to version 0.4.2 with previous version 0.4.1 dated 2017-09-05

Title: Make 'ggplot2' Graphics Interactive
Description: Create interactive 'ggplot2' graphics using 'htmlwidgets'.
Author: David Gohel [aut, cre], Mike Bostock [cph] (d3.js), Speros Kokenes [cph] (d3-lasso)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package CBPS updated to version 0.16 with previous version 0.15 dated 2017-11-26

Title: Covariate Balancing Propensity Score
Description: Implements the covariate balancing propensity score (CBPS) proposed by Imai and Ratkovic (2014) <DOI:10.1111/rssb.12027>. The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements several extensions of the CBPS beyond the cross-sectional, binary treatment setting. The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models from Imai and Ratkovic (2015) <DOI:10.1080/01621459.2014.956872>, treatments with three- and four- valued treatment variables, continuous-valued treatments from Fong, Hazlett, and Imai (2015) <http://imai.princeton.edu/research/files/CBGPS.pdf>, and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates. Recently we have added the optimal CBPS which chooses the optimal balancing function and results in doubly robust and efficient estimator for the treatment effect as well as high dimensional CBPS when a large number of covariates exist.
Author: Christian Fong [aut, cre], Marc Ratkovic [aut], Kosuke Imai [aut], Chad Hazlett [ctb], Xiaolin Yang [ctb], Sida Peng [ctb]
Maintainer: Christian Fong <christianfong@stanford.edu>

Diff between CBPS versions 0.15 dated 2017-11-26 and 0.16 dated 2017-12-19

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Package BVSNLP updated to version 0.9.6 with previous version 0.9.5 dated 2017-12-18

Title: Bayesian Variable Selection in High Dimensional Settings using Non-Local Prior
Description: Variable/Feature selection in high or ultra-high dimensional settings has gained a lot of attention recently specially in cancer genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits mixture of point masses at zero and nonlocal priors to improve the performance of variable selection and coefficient estimation. It performs variable selection for binary response and survival time response datasets which are widely used in biostatistic and bioinformatics community. Benefiting from parallel computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median Probability Model (MPM) and posterior inclusion probability for each of the covariates in the model. The option to use Bayesian Model Averaging (BMA) is also part of this package that can be exploited for predictive power measurements in real datasets.
Author: Amir Nikooienejad [aut, cre]
Maintainer: Amir Nikooienejad <amir@stat.tamu.edu>

Diff between BVSNLP versions 0.9.5 dated 2017-12-18 and 0.9.6 dated 2017-12-19

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Package bridgesampling updated to version 0.4-0 with previous version 0.3-0 dated 2017-10-22

Title: Bridge Sampling for Marginal Likelihoods and Bayes Factors
Description: Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, <http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>).
Author: Quentin F. Gronau [aut, cre] (<https://orcid.org/0000-0001-5510-6943>), Henrik Singmann [aut] (<https://orcid.org/0000-0002-4842-3657>), Jonathan J. Forster [ctb], Eric-Jan Wagenmakers [ths], The JASP Team [ctb], Jiqiang Guo [ctb], Jonah Gabry [ctb], Ben Goodrich [ctb]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>

Diff between bridgesampling versions 0.3-0 dated 2017-10-22 and 0.4-0 dated 2017-12-19

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New package rhmmer with initial version 0.1.0
Package: rhmmer
Version: 0.1.0
Title: Utilities Parsing 'HMMER' Results
Description: 'HMMER' is a profile hidden Markov model tool used primarily for sequence analysis in bioinformatics (<http://hmmer.org/>). 'rhmmer' provides utilities for parsing the 'HMMER' output into tidy data frames.
Authors@R: person("Zebulun", "Arendsee", email="zbwrnz@gmail.com", role=c("aut","cre"))
URL: https://github.com/arendsee/rhmmer
BugReports: https://github.com/arendsee/rhmmer/issues
Depends: R (>= 3.4.0)
Imports: magrittr, readr, dplyr, tidyr, rlang
Suggests: testthat, covr
LazyData: true
RoxygenNote: 6.0.1
License: GPL-3
NeedsCompilation: no
Packaged: 2017-12-19 17:55:35 UTC; rnz
Author: Zebulun Arendsee [aut, cre]
Maintainer: Zebulun Arendsee <zbwrnz@gmail.com>
Repository: CRAN
Date/Publication: 2017-12-19 19:14:30 UTC

More information about rhmmer at CRAN
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Package reda updated to version 0.4.1 with previous version 0.4.0 dated 2017-12-18

Title: Recurrent Event Data Analysis
Description: Functions for (1) simulating survival and recurrent event data from stochastic process point of view, (2) exploring and modeling recurrent event data through the mean cumulative function (MCF) or also called the Nelson-Aalen estimator of the cumulative hazard rate function, and gamma frailty model with spline rate function, and (3) comparing two-sample recurrent event responses with the pseudo-score tests.
Author: Wenjie Wang [aut, cre], Haoda Fu [aut], Jun Yan [ctb]
Maintainer: Wenjie Wang <wenjie.2.wang@uconn.edu>

Diff between reda versions 0.4.0 dated 2017-12-18 and 0.4.1 dated 2017-12-19

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Package dtwclust updated to version 5.1.0 with previous version 5.0.0 dated 2017-12-09

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging and a distance based on global alignment kernels are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

Diff between dtwclust versions 5.0.0 dated 2017-12-09 and 5.1.0 dated 2017-12-19

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New package ijtiff with initial version 0.2.0
Package: ijtiff
Type: Package
Title: TIFF I/O for 'ImageJ' Users
Version: 0.2.0
Authors@R: c(person("Rory", "Nolan", email = "rorynoolan@gmail.com", role = c("aut", "cre")), person("Simon", "Urbanek", email = "Simon.Urbanek@r-project.org", role = "ctb"), person("Sergi", "Padilla-Parra", email = "spadilla@well.ox.ac.uk", role = "ths"))
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Description: Correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.nih.gov/ij/>. Full support for TIFF files with floating point (real-numbered) pixels. Also supports text image I/O.
License: GPL-3
SystemRequirements: libtiff
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
RoxygenNote: 6.0.1
URL: https://www.github.com/rorynolan/ijtiff
BugReports: https://www.github.com/rorynolan/ijtiff/issues
VignetteBuilder: knitr
Imports: checkmate, RSAGA, magrittr, filesstrings (>= 2.0.0), stringr, purrr, Rcpp, tiff, fields, grDevices, readr, abind
Suggests: knitr, testthat, rmarkdown, covr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-12-19 15:20:02 UTC; rnolan
Author: Rory Nolan [aut, cre], Simon Urbanek [ctb], Sergi Padilla-Parra [ths]
Repository: CRAN
Date/Publication: 2017-12-19 18:24:39 UTC

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Package gProfileR updated to version 0.6.2 with previous version 0.6.1 dated 2016-04-27

Title: Interface to the 'g:Profiler' Toolkit
Description: Functional enrichment analysis, gene identifier conversion and mapping homologous genes across related organisms via the 'g:Profiler' toolkit (<https://biit.cs.ut.ee/gprofiler/>).
Author: Juri Reimand <juri.reimand@ut.ee>, Raivo Kolde <rkolde@gmail.com>, Tambet Arak <tambet.arak@gmail.com>
Maintainer: Ivan Kuzmin <ivan.kuzmin@ut.ee>

Diff between gProfileR versions 0.6.1 dated 2016-04-27 and 0.6.2 dated 2017-12-19

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New package tmbstan with initial version 1.0.0
Package: tmbstan
Type: Package
Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Version: 1.0.0
Date: 2017-12-18
Author: Kasper Kristensen
Maintainer: Kasper Kristensen <kaskr@dtu.dk>
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects.
Imports: methods, Rcpp
Depends: rstan, TMB (>= 1.7.12)
LinkingTo: StanHeaders, rstan, BH, Rcpp, RcppEigen, TMB
License: GPL (>= 3)
BugReports: https://github.com/kaskr/tmbstan/issues
NeedsCompilation: yes
RoxygenNote: 5.0.1
Packaged: 2017-12-19 11:09:16 UTC; kaskr
Repository: CRAN
Date/Publication: 2017-12-19 16:40:32 UTC

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Package stplanr updated to version 0.2.2 with previous version 0.2.1 dated 2017-11-23

Title: Sustainable Transport Planning
Description: Functionality and data access tools for transport planning, including origin-destination analysis, route allocation and modelling travel patterns.
Author: Robin Lovelace [aut, cre] (0000-0001-5679-6536), Richard Ellison [aut], Barry Rowlingson [ctb] (Author of overline), Nick Bearman [ctb] (Co-author of gclip), Malcolm Morgan [ctb] (Co-author of angle_diff), Nikolai Berkoff [ctb] (Co-author of line2route), Scott Chamberlin [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package iprior updated to version 0.7.1 with previous version 0.7.0 dated 2017-11-03

Title: Regression Modelling using I-Priors
Description: Provides methods to perform and analyse I-prior regression models. Estimation is done either via direct optimisation of the log-likelihood or an EM algorithm.
Author: Haziq Jamil [aut, cre]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>

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Package QuasiSeq (with last version 1.0-10-1) was removed from CRAN

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

2017-07-09 1.0-10-1
2015-05-15 1.0-8
2015-05-13 1.0-7
2015-02-03 1.0-6
2015-01-05 1.0-5
2014-04-14 1.0-4
2014-02-12 1.0-3

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Package hisemi (with last version 1.1-0) was removed from CRAN

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

2017-07-09 1.1-0
2013-08-31 1.0-319
2012-08-01 1.0-249
2012-02-24 1.0-208
2011-10-17 1.0-191
2010-09-19 1.0-130

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Package uniqueAtomMat (with last version 0.1-3-1) was removed from CRAN

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

2017-07-08 0.1-3-1
2017-07-08 0.1-3-2
2016-03-01 0.1-2
2016-02-29 0.1-1
2015-06-26 0.1-0

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Package varComp (with last version 0.2-0) was removed from CRAN

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2017-07-09 0.2-0
2015-02-06 0.1-360
2013-08-31 0.1-317
2013-06-22 0.1-315

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Package pi0 (with last version 1.4-1) was removed from CRAN

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2017-07-09 1.4-1
2015-07-06 1.4-0
2012-09-06 1.3-250
2012-01-17 1.3-200
2011-10-17 1.3-190
2011-06-01 1.3-182
2010-10-09 1.2-139
2010-09-20 1.2-131

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New package rhymer with initial version 1.0.0
Package: rhymer
Type: Package
URL: https://landesbergn.github.io/rhymer/index.html, http://github.com/landesbergn/rhymer
BugReports: https://github.com/landesbergn/rhymer/issues
Title: Wrapper for the 'Datamuse' API to Find Rhyming and Associated Words
Version: 1.0.0
Authors@R: person("Noah", "Landesberg", email = "noah.landesberg@gmail.com", role = c("aut", "cre"))
Description: Wrapper for 'Datamuse' API to find rhyming and other associated words. This includes words of similar meaning, spelling, or other related words. Learn more about the 'Datamuse' API here <http://www.datamuse.com/api/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: jsonlite, httr
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-19 02:29:28 UTC; noah
Author: Noah Landesberg [aut, cre]
Maintainer: Noah Landesberg <noah.landesberg@gmail.com>
Repository: CRAN
Date/Publication: 2017-12-19 14:44:27 UTC

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Package Rhpc updated to version 0.17-353 with previous version 0.15-244 dated 2015-09-01

Title: Permits *apply() Style Dispatch for 'HPC'
Description: Function of apply style using 'MPI' provides better 'HPC' environment on R. and this package supports long vector, can deal with slightly big data.
Author: Junji NAKANO <nakanoj@ism.ac.jp> and Ei-ji Nakama<nakama@com-one.com>
Maintainer: Ei-ji Nakama <nakama@com-one.com>

Diff between Rhpc versions 0.15-244 dated 2015-09-01 and 0.17-353 dated 2017-12-19

 ChangeLog                          |   99 +++++++++-------
 DESCRIPTION                        |    8 -
 MD5                                |   40 +++---
 R/Rhpc.R                           |   54 ++++----
 R/RhpcExt.R                        |    6 
 cleanup                            |    1 
 configure                          |   34 +++--
 configure.ac                       |    4 
 src/Makevars.in                    |    2 
 src/Makevars.win                   |    7 -
 src/RhpcMPI.c                      |  224 ++++++++++++++++++++++++++++++++++++-
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 23 files changed, 429 insertions(+), 152 deletions(-)

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New package ABPS with initial version 0.1
Package: ABPS
Title: The Abnormal Blood Profile Score to Detect Blood Doping
Version: 0.1
Date: 2017-12-19
Authors@R: c( person("Frédéric", "Schütz", email = "schutz@mathgen.ch", role = c("aut", "cre")), person("Alix", "Zollinger", role = "aut"))
Description: An implementation of the Abnormal Blood Profile Score (ABPS, part of the Athlete Biological Passport program of the World Anti-Doping Agency), which combines several blood parameters into a single score in order to detect blood doping (Sottas et al. (2006) <doi:10.2202/1557-4679.1011>). The package also contains functions to calculate other scores used in anti-doping programs, such as the OFF-score (Gore et al. (2003) <http://www.haematologica.org/content/88/3/333>), as well as example data.
Imports: kernlab
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-12-18 23:15:37 UTC; schutz
Author: Frédéric Schütz [aut, cre], Alix Zollinger [aut]
Maintainer: Frédéric Schütz <schutz@mathgen.ch>
Repository: CRAN
Date/Publication: 2017-12-19 14:35:24 UTC

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Package partitionComparison updated to version 0.2.3 with previous version 0.2.2 dated 2017-08-25

Title: Implements Measures for the Comparison of Two Partitions
Description: Provides several measures ((dis)similarity, distance/metric, correlation, entropy) for comparing two partitions of the same set of objects. The different measures can be assigned to three different classes: Pair comparison (containing the famous Jaccard and Rand indices), set based, and information theory based. Many of the implemented measures can be found in Albatineh AN, Niewiadomska-Bugaj M and Mihalko D (2006) <doi:10.1007/s00357-006-0017-z> and Meila M (2007) <doi:10.1016/j.jmva.2006.11.013>. Partitions are represented by vectors of class labels which allow a straightforward integration with existing clustering algorithms (e.g. kmeans()). The package is mostly based on the S4 object system.
Author: Fabian Ball [aut, cre, cph, ctb], Andreas Geyer-Schulz [cph]
Maintainer: Fabian Ball <fabian.ball@kit.edu>

Diff between partitionComparison versions 0.2.2 dated 2017-08-25 and 0.2.3 dated 2017-12-19

 DESCRIPTION                        |   10 +--
 MD5                                |   88 +++++++++++++--------------
 R/aab-helper.R                     |   12 +--
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Package DPpackage updated to version 1.1-7.2 with previous version 1.1-7.1 dated 2017-12-05

Title: Bayesian Nonparametric Modeling in R
Description: Functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models. Although the name of the package was motivated by the Dirichlet Process prior, the package considers and will consider other priors on functional spaces. So far, DPpackage includes models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees, Linear Dependent Tailfree Processes, Mixtures of Triangular distributions, Random Bernstein polynomials priors and Dependent Bernstein Polynomials. The package also includes models considering Penalized B-Splines. Includes semiparametric models for marginal and conditional density estimation, ROC curve analysis, interval censored data, binary regression models, generalized linear mixed models, IRT type models, and generalized additive models. Also contains functions to compute Pseudo-Bayes factors for model comparison, and to elicitate the precision parameter of the Dirichlet Process. To maximize computational efficiency, the actual sampling for each model is done in compiled FORTRAN. The functions return objects which can be subsequently analyzed with functions provided in the 'coda' package.
Author: Alejandro Jara [aut, cre], Timothy Hanson [ctb], Fernando Quintana [ctb], Peter Mueller [ctb], Gary Rosner [ctb]
Maintainer: ORPHANED

Diff between DPpackage versions 1.1-7.1 dated 2017-12-05 and 1.1-7.2 dated 2017-12-19

 DESCRIPTION             |    6 ++---
 MD5                     |   56 ++++++++++++++++++++++++------------------------
 src/DPMdencens.f        |    5 +---
 src/DPMrasch.f          |    4 +--
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 src/DPMraschpoissonh.f  |    9 +++----
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 src/HDPMdensity.f       |    2 -
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 src/LDTFPdensity.f      |   26 +++-------------------
 src/LDTFPglmmpois.f     |   19 +++-------------
 src/LDTFPsurvival.f     |   24 +++-----------------
 src/PSgamprob.f         |    1 
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 src/PTrasch.f           |   17 ++++----------
 src/PTraschpoisson.f    |   19 +++++-----------
 src/ToolsLDTFP.f        |   27 +++++++++++------------
 src/ToolsPTsampler.f    |   14 +++---------
 src/ToolsRSBA.f         |   12 +++++-----
 src/ToolsSB.f           |    1 
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 29 files changed, 127 insertions(+), 207 deletions(-)

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Package radiomics (with last version 0.1.2) was removed from CRAN

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

2016-05-04 0.1.2
2015-11-28 0.1.1
2015-11-22 0.1.0

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Package oasis (with last version 2.1) was removed from CRAN

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

2016-09-29 2.1
2015-12-26 0.99.5

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Package wordbankr (with last version 0.2.0) was removed from CRAN

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2016-06-14 0.2.0
2015-10-31 0.1

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Package mra (with last version 2.16.10) was removed from CRAN

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2017-10-07 2.16.10

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Package statisticalModeling (with last version 0.3.0) was removed from CRAN

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2016-11-12 0.3.0

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

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

2016-07-25 0.3
2016-05-26 0.2
2015-03-11 0.1

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New package JuniperKernel with initial version 1.0.0.0
Package: JuniperKernel
Title: Kernel for 'Jupyter'
Version: 1.0.0.0
Date: 2017-12-07
Authors@R: c( person("Spencer Aiello", role=c("aut", "cre", "cph"), email="spnrpa@gmail.com"), person("Stephan Brumme", role="cph"), person("Jake Luciani", role="cph"), person("Tony Plate", role="cph"), person("Matthieu Decorde", role="cph"), person("RStudio (Hadley Wickham)", role="cph") )
Copyright: See the file COPYRIGHTS
Depends: R (>= 3.2.0)
Imports: utils, jsonlite, repr, Rcpp (>= 0.11.0), gdtools (>= 0.1.6), data.table, methods
Suggests: RUnit, roxygen2
Collate: 'booter.R' 'comm_close.R' 'comm_info_request.R' 'comm_msg.R' 'comm_open.R' 'complete_request.R' 'execute_request.R' 'history_request.R' 'inspect_request.R' 'is_complete_request.R' 'juniper.R' 'kernel_info_request.R' 'kernelspec.R' 'RcppExports.R' 'request.R' 'shutdown_request.R' 'zzz.R'
LinkingTo: Rcpp, gdtools
Description: Provides a full implementation of the 'Jupyter' <http://jupyter.org/> messaging protocol in C++ by leveraging 'Rcpp' and 'Xeus' <https://github.com/QuantStack/xeus>. 'Jupyter' supplies an interactive computing environment and a messaging protocol defined over 'ZeroMQ' for multiple programming languages. This package implements the 'Jupyter' kernel interface so that 'R' is exposed to this interactive computing environment. 'Xeus' is a C++ library that facilitates the implementation of kernels for 'Jupyter'. Additionally, 'Xeus' provides an interface to libraries that exist in the 'Jupyter' ecosystem for building widgets, plotting, and more <https://blog.jupyter.org/interactive-workflows-for-c-with-jupyter-fe9b54227d92>. 'JuniperKernel' uses 'Xeus' as a library for the 'Jupyter' messaging protocol.
URL: https://github.com/JuniperKernel/JuniperKernel
License: GPL (>= 2)
BugReports: https://github.com/JuniperKernel/JuniperKernel/issues
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-12-18 20:57:09 UTC; saiello8
Author: Spencer Aiello [aut, cre, cph], Stephan Brumme [cph], Jake Luciani [cph], Tony Plate [cph], Matthieu Decorde [cph], RStudio (Hadley Wickham) [cph]
Maintainer: Spencer Aiello <spnrpa@gmail.com>
Repository: CRAN
Date/Publication: 2017-12-19 11:22:42 UTC

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Package GeDS updated to version 0.1.3 with previous version 0.1.2 dated 2017-11-08

Title: Geometrically Designed Spline Regression
Description: Geometrically Designed Spline ('GeDS') Regression is a non-parametric geometrically motivated method for fitting variable knots spline predictor models in one or two independent variables, in the context of generalized (non-)linear models. 'GeDS' estimates the number and position of the knots and the order of the spline, assuming the response variable has a distribution from the exponential family. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2017) <https://openaccess.city.ac.uk/18460>.
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>, Vladimir K. Kaishev <V.Kaishev@city.ac.uk>, Andrea Lattuada <Andrea.Lattuada@unicatt.it> and Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Andrea Lattuada <Andrea.Lattuada@unicatt.it>

Diff between GeDS versions 0.1.2 dated 2017-11-08 and 0.1.3 dated 2017-12-19

 DESCRIPTION         |   10 ++++++----
 MD5                 |    8 ++++----
 R/GeDS-package.R    |    4 ++--
 R/dynlib.R          |    2 +-
 man/GeDS-package.Rd |    4 ++--
 5 files changed, 15 insertions(+), 13 deletions(-)

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Package deisotoper updated to version 0.0.3 with previous version 0.0.2 dated 2017-12-08

Title: Detection of Isotope Pattern of a Mass Spectrometric Measurement
Description: Provides a low-level interface for a deisotoper container implemented in the 'Java' programming language and means of S3 helper functions for plotting and debugging isotopes of mass spectrometric data. The deisotoper algorithm detects and aggregates peaks which belong to the same isotopic cluster of a given mass spectrum.
Author: Christian Panse [cre, aut] (0000-0003-1975-3064), Lucas Schmidt [ctb, aut] (0000-0003-4496-0487), Witold E. Wolski [ctb, aut] (0000-0002-6468-120X)
Maintainer: Christian Panse <cp@fgcz.ethz.ch>

Diff between deisotoper versions 0.0.2 dated 2017-12-08 and 0.0.3 dated 2017-12-19

 deisotoper-0.0.2/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/R                                       |only
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 deisotoper-0.0.3/deisotoper/DESCRIPTION                                                                              |   10 
 deisotoper-0.0.3/deisotoper/MD5                                                                                      |  100 ++--
 deisotoper-0.0.3/deisotoper/R/deisotoper.R                                                                           |   14 
 deisotoper-0.0.3/deisotoper/README.md                                                                                |   63 --
 deisotoper-0.0.3/deisotoper/build/vignette.rds                                                                       |binary
 deisotoper-0.0.3/deisotoper/inst/doc/deisotoper.pdf                                                                  |binary
 deisotoper-0.0.3/deisotoper/inst/java/deisotoper-1.0-SNAPSHOT.jar                                                    |binary
 deisotoper-0.0.3/deisotoper/java/Makefile                                                                            |    3 
 deisotoper-0.0.3/deisotoper/java/deisotoper/deisotoper.iml                                                           |    8 
 deisotoper-0.0.3/deisotoper/java/deisotoper/pom.xml                                                                  |   12 
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/Version.java                            |   52 --
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/dto/MassSpecMeasure.java                |   18 
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/dto/MassSpecMeasureSerializer.java      |   46 +
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/dto/MassSpecMeasureSummary.java         |  233 ++++++---
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/dto/MassSpectrum.java                   |   53 --
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/Configuration.java                 |  200 ++++----
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/Connection.java                    |   10 
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/Deisotoper.java                    |  119 +---
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/DeisotoperMassSpectrumAdapter.java |   10 
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/IsotopicCluster.java               |   79 +--
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/IsotopicSet.java                   |  188 ++++---
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 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/Peak.java                          |   10 
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 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/Score.java                         |  242 +++++-----
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/ScoreFive.java                     |   62 +-
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/fbdm/ScoringConfiguration.java          |   28 -
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/mgf/ReadMGF.java                        |   67 +-
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 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/mgf/WriteMGF.java                       |   80 +--
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/mgf/WriteStdOut.java                    |   20 
 deisotoper-0.0.3/deisotoper/java/deisotoper/src/main/java/ch/fgcz/proteomics/mspy/Convert.java                       |  109 +++-
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New package ZOIP with initial version 0.1
Package: ZOIP
Title: ZOIP Distribution, ZOIP Regression, ZOIP Mixed Regression
Description: The ZOIP distribution (Zeros Ones Inflated Proportional) is a proportional data distribution inflated with zeros and/or ones, this distribution is defined on the most known proportional data distributions, the beta and simplex distribution, Jørgensen and Barndorff-Nielsen (1991) <doi:10.1016/0047-259X(91)90008-P>, also allows it to have different parameterizations of the beta distribution, Ferrari and Cribari-Neto (2004) <doi:10.1080/0266476042000214501>, Rigby and Stasinopoulos (2005) <doi:10.18637/jss.v023.i07>. The ZOIP distribution has four parameters, two of which correspond to the proportion of zeros and ones, and the other two correspond to the distribution of the proportional data of your choice. The 'ZOIP' package allows adjustments of regression models for fixed and mixed effects for proportional data inflated with zeros and/or ones.
Version: 0.1
Authors@R: person("Juan Camilo", "Diaz Zapata", email = "jucdiazza@unal.edu.co", role = c("aut", "cre"))
Depends: R (>= 3.2.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: rmutil, boot, numDeriv, GHQp, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-18 13:12:02 UTC; Usuario
Author: Juan Camilo Diaz Zapata [aut, cre]
Maintainer: Juan Camilo Diaz Zapata <jucdiazza@unal.edu.co>
Repository: CRAN
Date/Publication: 2017-12-19 09:29:05 UTC

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New package kexpmv with initial version 0.0.1
Package: kexpmv
Type: Package
Title: Matrix Exponential using Krylov Subspace Routines
Version: 0.0.1
Author: Meabh G. McCurdy <mmccurdy01@qub.ac.uk>
Maintainer: Meabh G. McCurdy <mmccurdy01@qub.ac.uk>
Depends: methods, SparseM, R (>= 3.0.2)
LinkingTo: Rcpp (>= 0.11.0)
Copyright: See kexpmv/inst/notes/LAPACK_LICENSE.txt for src/lapack.f.
Description: Implements functions from 'EXPOKIT' (<https://www.maths.uq.edu.au/expokit/>) to calculate matrix exponentials, Sidje RB, (1998) <doi:10.1145/285861.285868>. Includes functions for small dense matrices along with functions for large sparse matrices. The functions for large sparse matrices implement Krylov subspace methods which help minimise the computational complexity for matrix exponentials. 'Kexpmv' can be utilised to calculate both the matrix exponential in isolation along with the product of the matrix exponential and a vector.
License: GPL (>= 2)
LazyData: yes
ByteCompile: true
NeedsCompilation: yes
Repository: CRAN
Packaged: 2017-12-18 14:06:38 UTC; 40061290
Collate: 'kexpmv.R'
RoxygenNote: 6.0.1
Date/Publication: 2017-12-19 09:31:28 UTC

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Package lwgeom updated to version 0.1-2 with previous version 0.1-1 dated 2017-12-17

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/svn-trunk/liblwgeom>, the geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (0000-0001-8049-7069), Colin Rundel [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between lwgeom versions 0.1-1 dated 2017-12-17 and 0.1-2 dated 2017-12-19

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Package LaplacesDemon updated to version 16.1.0 with previous version 16.0.1 dated 2016-07-16

Title: Complete Environment for Bayesian Inference
Description: Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview). The README describes the history of the package development process.
Author: Byron Hall [aut], Martina Hall [aut], Statisticat, LLC [aut], Eric Brown [ctb], Richard Hermanson [ctb], Emmanuel Charpentier [ctb], Daniel Heck [ctb], Stephane Laurent [ctb], Quentin F. Gronau [ctb], Henrik Singmann [cre]
Maintainer: Henrik Singmann <singmann+LaplacesDemon@gmail.com>

Diff between LaplacesDemon versions 16.0.1 dated 2016-07-16 and 16.1.0 dated 2017-12-19

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Package fitur updated to version 0.5.20 with previous version 0.5.0 dated 2017-10-09

Title: Fit Univariate Distributions
Description: Wrapper for computing parameters for univariate distributions using MLE. It creates an object that stores d, p, q, r functions as well as parameters and statistics for diagnostics. Currently supports automated fitting from base and actuar packages. A manually fitting distribution fitting function is included to support directly specifying parameters for any distribution from ancillary packages.
Author: Thomas Roh [aut, cre]
Maintainer: Thomas Roh <thomas@roh.engineering>

Diff between fitur versions 0.5.0 dated 2017-10-09 and 0.5.20 dated 2017-12-19

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