Mon, 05 Oct 2020

Package zebu updated to version 0.1.3.0 with previous version 0.1.2 dated 2017-10-24

Title: Local Association Measures
Description: Implements the estimation of local (and global) association measures: Ducher's Z, pointwise mutual information, normalized pointwise mutual information and chi-squared residuals. The significance of local (and global) association is accessed using p-values estimated by permutations. Finally, using local association subgroup analysis, it identifies if the association between variables is dependent on the value of another variable.
Author: Olivier M. F. Martin [aut, cre], Michel Ducher [aut]
Maintainer: Olivier M. F. Martin <oliviermfmartin@tutanota.com>

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Package odpc updated to version 2.0.4 with previous version 2.0.3 dated 2020-06-30

Title: One-Sided Dynamic Principal Components
Description: Functions to compute the one-sided dynamic principal components ('odpc') introduced in Peña, Smucler and Yohai (2019) <DOI:10.1080/01621459.2018.1520117>. 'odpc' is a novel dimension reduction technique for multivariate time series, that is useful for forecasting. These dynamic principal components are defined as the linear combinations of the present and past values of the series that minimize the reconstruction mean squared error.
Author: Daniel Peña <daniel.pena@uc3m.es>, Ezequiel Smucler <ezequiels.90@gmail.com>, Victor Yohai <vyohai@dm.uba.ar>
Maintainer: Ezequiel Smucler <ezequiels.90@gmail.com>

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Package splmm updated to version 1.1.1 with previous version 1.0 dated 2020-09-21

Title: Simultaneous Penalized Linear Mixed Effects Models
Description: Contains functions that fit linear mixed-effects models for high-dimensional data (p>>n) with penalty for both the fixed effects and random effects for variable selection. The details of the algorithm can be found in Luoying Yang PhD thesis (available soon). The algorithm implementation is based on the R package 'lmmlasso'.
Author: Luoying Yang, Tong Tong Wu
Maintainer: Luoying Yang <lyang19@u.rochester.edu>

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Package prim updated to version 1.0.18 with previous version 1.0.17 dated 2020-03-17

Title: Patient Rule Induction Method (PRIM)
Description: Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.
Author: Tarn Duong <tarn.duong@gmail.com>
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package MGDrivE updated to version 1.6.0 with previous version 1.5.0 dated 2020-01-29

Title: Mosquito Gene Drive Explorer
Description: Provides a model designed to be a reliable testbed where various gene drive interventions for mosquito-borne diseases control. It is being developed to accommodate the use of various mosquito-specific gene drive systems within a population dynamics framework that allows migration of individuals between patches in landscape. Previous work developing the population dynamics can be found in Deredec et al. (2001) <doi:10.1073/pnas.1110717108> and Hancock & Godfray (2007) <doi:10.1186/1475-2875-6-98>, and extensions to accommodate CRISPR homing dynamics in Marshall et al. (2017) <doi:10.1038/s41598-017-02744-7>.
Author: Héctor Manuel Sánchez Castellanos [aut, cre], Jared Bennett [aut], Sean Wu [aut], John M. Marshall [aut]
Maintainer: Héctor Manuel Sánchez Castellanos <sanchez.hmsc@berkeley.edu>

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Package mlr3viz updated to version 0.4.0 with previous version 0.3.0 dated 2020-09-25

Title: Visualizations for 'mlr3'
Description: Provides visualizations for 'mlr3' objects such as tasks, predictions, resample results or benchmark results via the autoplot() generic of 'ggplot2'. The returned 'ggplot' objects are intended to provide sensible defaults, yet can easily be customized to create camera-ready figures. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>), Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package khroma updated to version 1.4.0 with previous version 1.3.0 dated 2019-10-26

Title: Colour Schemes for Scientific Data Visualization
Description: An implementation of Paul Tol's colour schemes for use with 'graphics' or 'ggplot2'. These schemes are ready for each type of data (qualitative, diverging or sequential), with colours that are distinct for all people, including colour-blind readers. This package provides tools to simulate colour-blindness and to test how well the colours of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package gmvarkit updated to version 1.2.2 with previous version 1.2.1 dated 2020-08-28

Title: Estimate Gaussian Mixture Vector Autoregressive Model
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive (GMVAR) model, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2020) <arXiv:2007.04713>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package diffobj updated to version 0.3.2 with previous version 0.3.0 dated 2020-05-11

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph] (Original C implementation of Myers Diff Algorithm)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package RNOmni updated to version 1.0.0 with previous version 0.7.1 dated 2019-04-28

Title: Rank Normal Transformation Omnibus Test
Description: Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with non-normally distributed residuals. INT-based tests robustly control the type I error in settings where standard linear regression does not, as when the residual distribution exhibits excess skew or kurtosis. Moreover, INT-based tests dominate standard linear regression in terms of power. These tests may be classified into two types. In direct INT (D-INT), the phenotype is itself transformed. In indirect INT (I-INT), phenotypic residuals are transformed. The omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies" <doi:10.1111/biom.13214>.
Author: Zachary McCaw [aut, cre] (<https://orcid.org/0000-0002-2006-9828>)
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>

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Package treenomial updated to version 1.1.3 with previous version 1.1.2 dated 2020-02-13

Title: Comparison of Trees using a Tree Defining Polynomial
Description: Provides functionality for creation and comparison of polynomials that uniquely describe trees as introduced in Liu (2019, <arXiv:1904.03332>). The core method converts rooted unlabeled phylo objects from 'ape' to the tree defining polynomials described with coefficient matrices. Additionally, a conversion for rooted binary trees with binary trait labels is also provided. Once the polynomials of trees are calculated there are functions to calculate distances, distance matrices and plot different distance trees from a target tree. Manipulation and conversion to the tree defining polynomials is implemented in C++ with 'Rcpp' and 'RcppArmadillo'. Furthermore, parallel programming with 'RcppThread' is used to improve performance converting to polynomials and calculating distances.
Author: Matthew Gould [aut, cre], Pengyu Liu [ctb], Caroline Colijn [ctb]
Maintainer: Matthew Gould <mgould@sfu.ca>

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Package psych updated to version 2.0.9 with previous version 2.0.8 dated 2020-09-04

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)
Maintainer: William Revelle <revelle@northwestern.edu>

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Package mlr3measures updated to version 0.3.0 with previous version 0.2.0 dated 2020-06-27

Title: Performance Measures for 'mlr3'
Description: Implements multiple performance measures for supervised learning. Includes over 40 measures for regression and classification. Additionally, meta information about the performance measures can be queried, e.g. what the best and worst possible performances scores are.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Martin Binder [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package bigrquery updated to version 1.3.2 with previous version 1.3.1 dated 2020-05-15

Title: An Interface to Google's 'BigQuery' 'API'
Description: Easily talk to Google's 'BigQuery' database from R.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut] (<https://orcid.org/0000-0002-6983-2759>), Kungliga Tekniska Högskolan [ctb] (strptime implementation), The NetBSD Foundation, Inc. [ctb] (gmtime implementation), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package tidypredict updated to version 0.4.7 with previous version 0.4.6 dated 2020-07-23

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Max Kuhn [aut, cre]
Maintainer: Max Kuhn <max@rstudio.com>

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More information about tidypredict at CRAN
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Package statsExpressions updated to version 0.5.1 with previous version 0.5.0 dated 2020-09-12

Title: Expressions with Statistical Details
Description: Statistical processing backend for 'ggstatsplot', this package creates expressions with details from statistical tests. Currently, it supports only the most common types of statistical tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, and meta-analysis.
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between statsExpressions versions 0.5.0 dated 2020-09-12 and 0.5.1 dated 2020-10-05

 DESCRIPTION                                    |   12 
 MD5                                            |   63 +-
 NAMESPACE                                      |    1 
 NEWS.md                                        |   15 
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 33 files changed, 436 insertions(+), 375 deletions(-)

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Package RecordTest updated to version 1.0.1 with previous version 0.1.2 dated 2020-02-09

Title: Inference Tools in Time Series Based on Record Statistics
Description: Statistical tools based on probabilistic properties of the occurrence of records in a sequence (Xt) of independent and identically distributed random variables. In particular, tools to pre-process a time series as well as distribution-free tests for trend in location and plots to visualize the behavior of the records.
Author: Jorge Castillo-Mateo [aut, cre, cph] (<https://orcid.org/0000-0003-3859-0248>), Ana C. Cebrián [aut], Jesús Asín [dtc]
Maintainer: Jorge Castillo-Mateo <jorgecastillomateo@gmail.com>

Diff between RecordTest versions 0.1.2 dated 2020-02-09 and 1.0.1 dated 2020-10-05

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 RecordTest-1.0.1/RecordTest/man/P_exactPB.test.Rd     |   84 +++-
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More information about RecordTest at CRAN
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Package PSweight updated to version 1.1.2 with previous version 1.1.1 dated 2020-10-02

Title: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.
Author: Tianhui Zhou [aut, cre], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut]
Maintainer: Tianhui Zhou <tianhui.zhou@duke.edu>

Diff between PSweight versions 1.1.1 dated 2020-10-02 and 1.1.2 dated 2020-10-05

 DESCRIPTION          |    8 ++++----
 MD5                  |    6 +++---
 NAMESPACE            |    1 +
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 4 files changed, 42 insertions(+), 10 deletions(-)

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Package mlr3oml updated to version 0.3.0 with previous version 0.2.0 dated 2020-08-24

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data and tasks. Data and tasks can be automatically converted to 'mlr3' tasks. For a more sophisticated interface which also allows uploading experiments, see the 'OpenML' package.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3oml versions 0.2.0 dated 2020-08-24 and 0.3.0 dated 2020-10-05

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 19 files changed, 91 insertions(+), 47 deletions(-)

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Package googleTagManageR updated to version 0.1.6 with previous version 0.1.5 dated 2020-09-09

Title: Access the 'Google Tag Manager' API using R
Description: Interact with the 'Google Tag Manager' API <https://developers.google.com/tag-manager/api/v2>, enabling scripted deployments and updates across multiple tags, triggers, variables and containers.
Author: James Cottrill [aut, cre, cph], Mark Edmondson [ctb], Manos Parzakonis [ctb]
Maintainer: James Cottrill <r@jamescottrill.co.uk>

Diff between googleTagManageR versions 0.1.5 dated 2020-09-09 and 0.1.6 dated 2020-10-05

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 9 files changed, 98 insertions(+), 48 deletions(-)

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New package FunWithNumbers with initial version 1.0
Package: FunWithNumbers
Type: Package
Title: Fun with Fractions and Number Sequences
Version: 1.0
Date: 2020-09-05
Author: Carl Witthoft
Maintainer: Carl Witthoft <carl@witthoft.com>
Description: A collection of toys to do things like generate Collatz sequences, convert a fraction to "continued fraction" form, calculate a fraction which is a close approximation to some value (e.g., 22/7 or 355/113 or pi), and so on.
License: LGPL-3
LazyData: FALSE
Imports: Rmpfr, gmp
NeedsCompilation: no
Packaged: 2020-09-30 10:16:10 UTC; cgw
Repository: CRAN
Date/Publication: 2020-10-05 12:10:02 UTC

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New package CNAIM with initial version 1.0.0
Package: CNAIM
Type: Package
Title: Common Network Asset Indices Methodology (CNAIM)
Version: 1.0.0
Authors@R: c(person(given = "Emil", family = "Larsen", role = c("aut", "cre"), email = "mohsin@utiligize.com"), person(given = "Kalle", family = "Hansen", role = c("aut"), email = "kalle@utiligize.com"), person(given = "Peter", family = "Larsen", role = c("aut"), email = "peter@utiligize.com"))
Maintainer: Emil Larsen <mohsin@utiligize.com>
Description: Implementation of the CNAIM standard in R. Contains a series of algorithms which determine the probability of failure, consequences of failure and monetary risk associated with electricity distribution companies' assets such as transformers and cables. Results are visualized in an easy-to-understand risk matrix.
URL: https://www.cnaim.io/
BugReports: https://github.com/Utiligize/CNAIM/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.5.0)
Imports: dplyr, htmltools, htmlwidgets (>= 1.2), jsonlite, magrittr, r2d3, readxl, stringr, testthat, tibble, widgetframe
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-30 13:22:13 UTC; mohsinvindhani
Author: Emil Larsen [aut, cre], Kalle Hansen [aut], Peter Larsen [aut]
Repository: CRAN
Date/Publication: 2020-10-05 12:10:05 UTC

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New package winch with initial version 0.0.1
Package: winch
Title: Portable Native and Joint Stack Traces
Version: 0.0.1
Date: 2020-09-26
Authors@R: c(person(given = "Kirill", family = "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org", comment = c(ORCID = "0000-0002-1416-3412")), person(given = "R Consortium", role = "fnd"), person(given = "Ian Lance", family = "Taylor", role = "aut", comment = "Bundled libbacktrace library"), person(given = "Free Software Foundation", role = "cph", comment = "Bundled libbacktrace library"))
Description: Obtain the native stack trace and fuse it with R's stack trace for easier debugging of R packages with native code.
License: GPL-3
URL: https://r-prof.github.io/winch/, https://github.com/r-prof/winch
BugReports: https://github.com/r-prof/winch/issues
Imports: procmaps (>= 0.0.2)
Suggests: DBI, knitr, magrittr, purrr, rlang, rmarkdown, RSQLite, testthat, vctrs
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
NeedsCompilation: yes
Packaged: 2020-09-30 09:09:20 UTC; kirill
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), R Consortium [fnd], Ian Lance Taylor [aut] (Bundled libbacktrace library), Free Software Foundation [cph] (Bundled libbacktrace library)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2020-10-05 11:50:02 UTC

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New package REPPlabShiny with initial version 0.4.0
Package: REPPlabShiny
Type: Package
Title: 'REPPlab' via a Shiny Application
Version: 0.4.0
Date: 2020-09-30
Authors@R: c(person(given = "Thomas", family = "Janka", role = c("aut")), person(given = "Klaus", family = "Nordhausen", role = c("cre","ctb"), email = "klaus.nordhausen@tuwien.ac.at", comment = c(ORCID = "0000-0002-3758-8501")), person(given = "Anne", family = "Ruiz-Gazen", role = "ctb", comment = c(ORCID = "0000-0001-8970-8061")))
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>
Description: Performs exploratory projection pursuit via 'REPPlab' (Daniel Fischer, Alain Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019) <doi:10.1080/03610918.2019.1626880>) using a Shiny app.
License: GPL (>= 2)
Depends: shiny, DT, REPPlab
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.1.1
Packaged: 2020-09-30 09:02:07 UTC; Klaus Nordhausen
Author: Thomas Janka [aut], Klaus Nordhausen [cre, ctb] (<https://orcid.org/0000-0002-3758-8501>), Anne Ruiz-Gazen [ctb] (<https://orcid.org/0000-0001-8970-8061>)
Repository: CRAN
Date/Publication: 2020-10-05 11:40:02 UTC

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New package pvldcurve with initial version 1.2.6
Package: pvldcurve
Type: Package
Title: Simplifies the Analysis of Pressure Volume and Leaf Drying Curves
Version: 1.2.6
Authors@R: person("Anna", "Raesch", email = "annaraesch@gmail.com", role = c("aut", "cre", "cph"))
Depends: ggplot2, R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: Simplifies the manufacturing, analysis and display of pressure volume and leaf drying curves. From the progression of the curves turgor loss point, osmotic potential, apoplastic fraction as well as minimum conductance and stomatal closure can be derived. Methods adapted from Bartlett, Scoffoni, Sack (2012) <doi:10.1111/j.1461-0248.2012.01751.x> and Sack, Scoffoni, PrometheusWikiContributors (2011) <http://prometheuswiki.org/tiki-index.php?page=Minimum+epidermal+conductance+%28gmin%2C+a.k.a.+cuticular+conductance%29>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2020-08-24 15:29:59 UTC; Anna
Author: Anna Raesch [aut, cre, cph]
Maintainer: Anna Raesch <annaraesch@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-05 11:30:02 UTC

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Package nhs.predict updated to version 1.4.0 with previous version 1.2.0 dated 2020-06-09

Title: Breast Cancer Survival and Therapy Benefits
Description: Calculate Overall Survival or Recurrence-Free Survival for breast cancer patients, using 'NHS Predict'. The time interval for the estimation can be set up to 15 years, with default at 10. Incremental therapy benefits are estimated for hormone therapy, chemotherapy, trastuzumab, and bisphosphonates. An additional function, suited for SCAN audits, features a more user-friendly version of the code, with fewer inputs, but necessitates the correct standardised inputs. This work is not affiliated with the development of 'NHS Predict' and its underlying statistical model. Details on 'NHS Predict' can be found at: <doi:10.1186/bcr2464>. The web version of 'NHS Predict': <https://breast.predict.nhs.uk/>. A small dataset of 50 fictional patient observations is provided for the purpose of running examples with the main two functions, and an additional dataset is provided for running example with the dedicated SCAN function.
Author: Giovanni Tramonti
Maintainer: Giovanni Tramonti <giovanni.tramonti@ed.ac.uk>

Diff between nhs.predict versions 1.2.0 dated 2020-06-09 and 1.4.0 dated 2020-10-05

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 14 files changed, 49 insertions(+), 43 deletions(-)

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New package mapboxapi with initial version 0.2
Package: mapboxapi
Type: Package
Title: R Interface to 'Mapbox' Web Services
Date: 2020-09-29
Version: 0.2
Authors@R: c(person(given = "Kyle", family = "Walker", email = "kyle@walker-data.com", role = c("aut", "cre")))
Maintainer: Kyle Walker <kyle@walker-data.com>
Description: Includes support for 'Mapbox' Navigation APIs, including directions, isochrones, and route optimization; the Search API for forward and reverse geocoding; the Maps API for interacting with 'Mapbox' vector tilesets and visualizing 'Mapbox' maps in R; and the 'tippecanoe' tile-generation utility. See <https://docs.mapbox.com/api/> for more information about the 'Mapbox' APIs.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: httr, sf, jsonlite, purrr, curl, dplyr (>= 1.0.0), tidyr (>= 1.0.0), aws.s3, stringi, slippymath, protolite, rlang, geojsonsf, magick, leaflet
Suggests: mapdeck, tigris, tidycensus
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-29 10:15:09 UTC; kyle
Author: Kyle Walker [aut, cre]
Repository: CRAN
Date/Publication: 2020-10-05 11:20:02 UTC

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New package animalEKF with initial version 1.1
Package: animalEKF
Type: Package
Title: Extended Kalman Filters for Animal Movement
Version: 1.1
Date: 2020-09-21
Author: Samuel Ackerman
Maintainer: Samuel Ackerman <smackrmn@gmail.com>
Description: Synthetic generation of 1-D and 2-D correlated random walks (CRWs) for animal movement with behavioral switching, and particle filter estimation of movement parameters from observed trajectories using Extended Kalman Filter (EKF) model. See Ackerman (2018) <https://digital.library.temple.edu/digital/collection/p245801coll10/id/499150>.
Depends: R (>= 3.3.0), shiny, maptools, sp, rgeos (>= 0.5.2)
License: GPL (>= 2)
Imports: MCMCpack, ellipse, mvtnorm, deldir, colorspace, Matrix, MASS, png, grDevices, bezier, HDInterval, plyr, stats, methods, utils, ggplot2, rgdal
NeedsCompilation: no
Packaged: 2020-09-30 08:39:21 UTC; Sam Ackerman
Repository: CRAN
Date/Publication: 2020-10-05 11:50:06 UTC

More information about animalEKF at CRAN
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Package scoringRules updated to version 1.0.1 with previous version 1.0.0 dated 2019-08-20

Title: Scoring Rules for Parametric and Simulated Distribution Forecasts
Description: Dictionary-like reference for computing scoring rules in a wide range of situations. Covers both parametric forecast distributions (such as mixtures of Gaussians) and distributions generated via simulation.
Author: Alexander Jordan, Fabian Krueger, Sebastian Lerch
Maintainer: Fabian Krueger <Fabian.Krueger83@gmail.com>

Diff between scoringRules versions 1.0.0 dated 2019-08-20 and 1.0.1 dated 2020-10-05

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Package mlr updated to version 2.18.0 with previous version 2.17.1 dated 2020-03-24

Title: Machine Learning in R
Description: Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.
Author: Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Lars Kotthoff [aut], Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut] (<https://orcid.org/0000-0001-5324-5966>), Mason Gallo [aut], Jakob Bossek [ctb] (<https://orcid.org/0000-0002-4121-4668>), Erich Studerus [ctb] (<https://orcid.org/0000-0003-4233-0182>), Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb] (<https://orcid.org/0000-0003-2862-1418>), Florian Fendt [ctb], Philipp Probst [ctb] (<https://orcid.org/0000-0001-8402-6790>), Xudong Sun [ctb] (<https://orcid.org/0000-0003-3269-2307>), Janek Thomas [ctb] (<https://orcid.org/0000-0003-4511-6245>), Bruno Vieira [ctb], Laura Beggel [ctb] (<https://orcid.org/0000-0002-8872-8535>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [ctb], Florian Pfisterer [ctb], Stefan Coors [ctb], Steve Bronder [ctb], Alexander Engelhardt [ctb], Christoph Molnar [ctb], Annette Spooner [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

Diff between mlr versions 2.17.1 dated 2020-03-24 and 2.18.0 dated 2020-10-05

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More information about mlr at CRAN
Permanent link

Package timereg updated to version 1.9.8 with previous version 1.9.7 dated 2020-08-24

Title: Flexible Regression Models for Survival Data
Description: Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.
Author: Thomas Scheike with contributions from Torben Martinussen, Jeremy Silver and Klaus Holst
Maintainer: Thomas Scheike <ts@biostat.ku.dk>

Diff between timereg versions 1.9.7 dated 2020-08-24 and 1.9.8 dated 2020-10-05

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Package timechange updated to version 0.0.2 with previous version 0.0.1 dated 2018-04-26

Title: Efficient Changing of Date-Times
Description: Efficient routines for manipulation of date-time objects while accounting for time-zones and daylight saving times. The package includes utilities for updating of date-time components (year, month, day etc.), modification of time-zones, rounding of date-times, period addition and subtraction etc. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
Author: Vitalie Spinu [aut, cre], Google Inc. [ctb, cph]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

Diff between timechange versions 0.0.1 dated 2018-04-26 and 0.0.2 dated 2020-10-05

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Package shinyMatrix updated to version 0.4.0 with previous version 0.3.0 dated 2019-11-21

Title: Shiny Matrix Input Field
Description: Implements a custom matrix input field.
Author: Andreas Neudecker
Maintainer: Andreas Neudecker <andreas.neudecker@inwt-statistics.de>

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Package ragg updated to version 0.4.0 with previous version 0.3.1 dated 2020-07-03

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), Maxim Shemanarev [aut, cph] (Author of AGG), Tony Juricic [ctb, cph] (Contributor to AGG), Milan Marusinec [ctb, cph] (Contributor to AGG), Spencer Garrett [ctb] (Contributor to AGG), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between ragg versions 0.3.1 dated 2020-07-03 and 0.4.0 dated 2020-10-05

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Package questionr updated to version 0.7.3 with previous version 0.7.2 dated 2020-08-31

Title: Functions to Make Surveys Processing Easier
Description: Set of functions to make the processing and analysis of surveys easier : interactive shiny apps and addins for data recoding, contingency tables, dataset metadata handling, and several convenience functions.
Author: Julien Barnier [aut, cre], François Briatte [aut], Joseph Larmarange [aut]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

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Package PairViz updated to version 1.3.4 with previous version 1.3.3 dated 2020-10-04

Title: Visualization using Graph Traversal
Description: Improving graphics by ameliorating order effects, using Eulerian tours and Hamiltonian decompositions of graphs.
Author: C.B. Hurley and R.W. Oldford
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

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Package mlr3data updated to version 0.2.1 with previous version 0.2.0 dated 2020-08-03

Title: Collection of Machine Learning Data Sets for 'mlr3'
Description: A small collection of interesting and educational machine learning data sets which are used as examples in the 'mlr3' book (<https://mlr3book.mlr-org.com>), the use case gallery (<https://mlr3gallery.mlr-org.com>), or in other examples. All data sets are properly preprocessed and ready to be analyzed by most machine learning algorithms. Data sets are automatically added to the dictionary of tasks if 'mlr3' is loaded.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package lhs updated to version 1.1.1 with previous version 1.1.0 dated 2020-09-29

Title: Latin Hypercube Samples
Description: Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

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Package effsize updated to version 0.8.1 with previous version 0.8.0 dated 2020-04-09

Title: Efficient Effect Size Computation
Description: A collection of functions to compute the standardized effect sizes for experiments (Cohen d, Hedges g, Cliff delta, Vargha-Delaney A). The computation algorithms have been optimized to allow efficient computation even with very large data sets.
Author: Marco Torchiano [aut, cre]
Maintainer: Marco Torchiano <marco.torchiano@polito.it>

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Package skynet (with last version 1.3.9) was removed from CRAN

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

2020-09-30 1.3.9
2020-06-02 1.3.8
2018-12-12 1.3.0
2018-06-28 1.2.2

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Package fastquant (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:

2020-07-10 0.1.2

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Package sugrrants updated to version 0.2.8 with previous version 0.2.7 dated 2020-04-18

Title: Supporting Graphs for Analysing Time Series
Description: Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>)
Maintainer: Earo Wang <earo.wang@gmail.com>

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Package readr updated to version 1.4.0 with previous version 1.3.1 dated 2018-12-21

Title: Read Rectangular Text Data
Description: The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Romain Francois [ctb], R Core Team [ctb] (Date time code adapted from R), RStudio [cph, fnd], Jukka Jylänki [ctb, cph] (grisu3 implementation), Mikkel Jørgensen [ctb, cph] (grisu3 implementation)
Maintainer: Jim Hester <james.hester@rstudio.com>

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Package rbibutils updated to version 1.3 with previous version 1.1.0 dated 2020-09-27

Title: Convert Between Bibliography Formats
Description: Converts between a number of bibliography formats, including 'BibTeX', 'BibLaTeX' and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] (R port, modifications to bibutils' C code), Chris Putman [aut] (src/*, author of the bibutils libraries, https://sourceforge.net/projects/bibutils/), Richard Mathar [ctb] (src/addsout.c), Johannes Wilm [ctb] (src/biblatexin.c, src/bltypes.c)
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package pense updated to version 2.0.2 with previous version 2.0.1 dated 2020-09-14

Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized (adaptive) elastic net S and M estimators for linear regression. The methods are proposed in Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E. (2019) <https://projecteuclid.org/euclid.aoas/1574910036>. The package implements the extensions and algorithms described in Kepplinger, D. (2020) <doi:10.14288/1.0392915>.
Author: David Kepplinger [aut, cre], Matías Salibián-Barrera [aut], Gabriela Cohen Freue [aut]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

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Package ipmisc updated to version 4.0.0 with previous version 3.2.0 dated 2020-09-13

Title: Miscellaneous Functions for Data Cleaning and Analysis
Description: Provides functions needed for data cleaning and formatting and forms data cleaning and wrangling backend for the following packages: 'broomExtra', 'ggstatsplot', 'groupedstats', 'pairwiseComparisons', 'statsExpressions', and 'tidyBF'.
Author: Indrajeet Patil [aut, cre, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package hesim updated to version 0.4.1 with previous version 0.4.0 dated 2020-09-29

Title: Health-Economic Simulation Modeling and Decision Analysis
Description: A modular and computationally efficient R package for parameterizing, simulating, and analyzing health-economic simulation models. The package supports cohort discrete time state transition models (Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>, N-state partitioned survival models (Glasziou et al. 1990) <doi:10.1002/sim.4780091106>, and individual-level continuous time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>, encompassing both Markov (time-homogeneous and time-inhomogeneous) and semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is quantified with standard graphical and tabular summaries of a probabilistic sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>, <doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table make individual-patient simulation, probabilistic sensitivity analysis, and incorporation of patient heterogeneity fast.
Author: Devin Incerti [aut, cre], Jeroen P. Jansen [aut], R Core Team [ctb] (hesim uses some slightly modified C functions from base R)
Maintainer: Devin Incerti <devin.incerti@gmail.com>

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Package acebayes updated to version 1.10 with previous version 1.9 dated 2020-02-21

Title: Optimal Bayesian Experimental Design using the ACE Algorithm
Description: Optimal Bayesian experimental design using the approximate coordinate exchange (ACE) algorithm. See <doi:10.18637/jss.v095.i13>.
Author: Antony M. Overstall, David C. Woods, Maria Adamou & Damianos Michaelides
Maintainer: Antony M. Overstall <A.M.Overstall@soton.ac.uk>

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Package qs updated to version 0.23.3 with previous version 0.23.2 dated 2020-07-16

Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] (Yann Collet is the author of the bundled zstd, lz4 and xxHash code), Facebook, Inc. [cph] (Facebook is the copyright holder of the bundled zstd code), Reichardt Tino [ctb, cph] (Contributor/copyright holder of zstd bundled code), Skibinski Przemyslaw [ctb, cph] (Contributor/copyright holder of zstd bundled code), Mori Yuta [ctb, cph] (Contributor/copyright holder of zstd bundled code), Romain Francois [ctb, cph] (Derived example/tutorials for ALTREP structures), Francesc Alted [ctb, cph] (Shuffling routines derived from Blosc library), Bryce Chamberlain [ctb] (qsame, qload function contributor)
Maintainer: Travers Ching <traversc@gmail.com>

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Package photobiologySensors updated to version 0.5.0 with previous version 0.4.0 dated 2018-02-26

Title: Spectral Response Data for Light Sensors
Description: Spectral response data for broadband ultraviolet and visible radiation sensors. Different data sources were used: author-supplied data from scientific research papers, sensor-manufacturer supplied data, and published sensor specifications. Part of the 'r4photobiology' suite Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package photobiologyFilters updated to version 0.5.2 with previous version 0.5.1 dated 2020-04-30

Title: Spectral Transmittance and Spectral Reflectance Data
Description: Spectral 'transmittance' data for frequently used filters and similar materials. Plastic sheets and films; photography filters; theatrical gels; machine-vision filters; various types of window glass; optical glass and some laboratory plastics and glassware. Spectral reflectance data for frequently encountered materials. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (Contributed data), Tania de la Rosa [ctb] (Contributed data), Riitta Tegelberg [ctb] (Contributed data), Andreas Albert [ctb] (Contributed data), SCHOTT AG [ctb] (Contributed data), Midwest Optical Systems, Inc. (MidOpt) [ctb] (Contributed data)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package lingtypology updated to version 1.1.4 with previous version 1.1.3 dated 2020-04-26

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz [aut, cre] (<https://orcid.org/0000-0003-1990-6083>)
Maintainer: George Moroz <agricolamz@gmail.com>

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Package HDPenReg updated to version 0.94.7 with previous version 0.94.6 dated 2019-04-10

Title: High-Dimensional Penalized Regression
Description: Algorithms for lasso and fused-lasso problems: implementation of the lars algorithm for lasso and fusion penalization and EM-based algorithms for (logistic) lasso and fused-lasso penalization.
Author: Quentin Grimonprez [aut, cre], Serge Iovleff [aut]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package ctrdata updated to version 1.3.2 with previous version 1.3.1 dated 2020-08-01

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: Provides functions for querying, retrieving and analysing protocol- and results-related information on clinical trials from two public registers, the European Union Clinical Trials Register (EUCTR, <https://www.clinicaltrialsregister.eu/>) and ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The information is transformed and then stored in a database (nodbi). Functions are provided for accessing and analysing the locally stored information on the clinical trials, as well as for identifying duplicate records. The package is motivated by the need for aggregating and trend-analysing the design, conduct and outcomes across clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package clusterGeneration updated to version 1.3.5 with previous version 1.3.4 dated 2015-02-18

Title: Random Cluster Generation (with Specified Degree of Separation)
Description: We developed the clusterGeneration package to provide functions for generating random clusters, generating random covariance/correlation matrices, calculating a separation index (data and population version) for pairs of clusters or cluster distributions, and 1-D and 2-D projection plots to visualize clusters. The package also contains a function to generate random clusters based on factorial designs with factors such as degree of separation, number of clusters, number of variables, number of noisy variables.
Author: Weiliang Qiu <stwxq@channing.harvard.edu>, Harry Joe <harry@stat.ubc.ca>.
Maintainer: Weiliang Qiu <weiliang.qiu@gmail.com>

Diff between clusterGeneration versions 1.3.4 dated 2015-02-18 and 1.3.5 dated 2020-10-05

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Package sdmpredictors (with last version 0.2.8) was removed from CRAN

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

2018-07-19 0.2.8
2017-08-15 0.2.6
2017-03-20 0.2.5

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Package libproj (with last version 7.1.0-2) was removed from CRAN

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

2020-09-01 7.1.0-2
2020-08-26 7.1.0-1

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Package MedSurvey updated to version 1.1.1.3.0 with previous version 1.1.1.2.0 dated 2020-05-12

Title: Linear Mediation Analysis for Complex Surveys Using Balanced Repeated Replication
Description: It is a computer tool to conduct linear mediation analysis for complex surveys using multi-stage sampling and Balanced Repeated Replication (BRR). Specifically, the mediation analysis method using balanced repeated replications was proposed by Mai, Ha, and Soulakova (2019) <DOI:10.1080/10705511.2018.1559065>. The current version can only handle continuous mediators and outcomes. The development of 'MedSurvey' was sponsored by American Lebanese Syrian Associated Charities (ALSAC). However, the contents of MedSurvey do not necessarily represent the policy of the ALSAC.
Author: Yujiao Mai [cre, aut], Deo Kumar Srivastava [aut], Hui Zhang [aut]
Maintainer: Hui Zhang <hzhang@northwestern.edu>

Diff between MedSurvey versions 1.1.1.2.0 dated 2020-05-12 and 1.1.1.3.0 dated 2020-10-05

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Package hmclearn updated to version 0.0.5 with previous version 0.0.4 dated 2020-07-27

Title: Fit Statistical Models Using Hamiltonian Monte Carlo
Description: Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models. All of the code is written in R. Theoretical references are listed below:. Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418, Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" <arXiv:1701.02434>, Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" <arXiv:2006.16194>, Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034, Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.
Author: Samuel Thomas [cre, aut], Wanzhu Tu [ctb]
Maintainer: Samuel Thomas <samthoma@iu.edu>

Diff between hmclearn versions 0.0.4 dated 2020-07-27 and 0.0.5 dated 2020-10-05

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Package gbfs updated to version 1.3.4 with previous version 1.3.3 dated 2020-06-07

Title: Interface with Live Bikeshare Data
Description: Supplies a set of functions to interface with bikeshare data following the General Bikeshare Feed Specification, allowing users to query and accumulate tidy datasets for specified cities/bikeshare programs.
Author: Simon P. Couch [aut, cre], Kaelyn Rosenberg [aut], Mark Padgham [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

Diff between gbfs versions 1.3.3 dated 2020-06-07 and 1.3.4 dated 2020-10-05

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Package Bolstad updated to version 0.2-41 with previous version 0.2-40 dated 2018-10-09

Title: Functions for Elementary Bayesian Inference
Description: A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2017), John Wiley & Sons ISBN 978-1-118-09156-2.
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

Diff between Bolstad versions 0.2-40 dated 2018-10-09 and 0.2-41 dated 2020-10-05

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