Sun, 21 May 2023

Package palinsol updated to version 1.0 with previous version 0.93 dated 2016-03-04

Title: Insolation for Palaeoclimate Studies
Description: R package to compute Incoming Solar Radiation (insolation) for palaeoclimate studies. Features three solutions: Berger (1978), Berger and Loutre (1991) and Laskar et al. (2004). Computes daily-mean, season-averaged and annual means and for all latitudes, and polar night dates.
Author: Michel Crucifix [aut, cre]
Maintainer: Michel Crucifix <michel.crucifix@uclouvain.be>

Diff between palinsol versions 0.93 dated 2016-03-04 and 1.0 dated 2023-05-21

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 DESCRIPTION              |   27 +-
 LICENSE                  |   29 +-
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 NAMESPACE                |   28 +-
 R/Insol.R                |  533 ++++++++++++++++++++++++++++++++++++++++++++---
 R/astro.R                |  284 +++++++++++++++----------
 R/elliptint.R            |   25 +-
 README.md                |    8 
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 24 files changed, 1147 insertions(+), 499 deletions(-)

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Package dismo updated to version 1.3-14 with previous version 1.3-9 dated 2022-09-19

Title: Species Distribution Modeling
Description: Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.
Author: Robert J. Hijmans, Steven Phillips, John Leathwick and Jane Elith
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between dismo versions 1.3-9 dated 2022-09-19 and 1.3-14 dated 2023-05-21

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More information about dismo at CRAN
Permanent link

Package TreeBUGS updated to version 1.5.0 with previous version 1.4.9 dated 2022-09-06

Title: Hierarchical Multinomial Processing Tree Modeling
Description: User-friendly analysis of hierarchical multinomial processing tree (MPT) models that are often used in cognitive psychology. Implements the latent-trait MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model heterogeneity of participants. MPT models are conveniently specified by an .eqn-file as used by other MPT software and data are provided by a .csv-file or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests of heterogeneity and MPT-tailored summaries and plotting functions. A detailed documentation is available in Heck, Arnold, & Arnold (2018) <DOI:10.3758/s13428-017-0869-7> and a tutorial on MPT modeling can be found in Schmidt, Erdfelder, & Heck (2022) <DOI:10.31234/osf.io/gh8md>.
Author: Daniel W. Heck [aut, cre] , Nina R. Arnold [aut, dtc], Denis Arnold [aut], Alexander Ly [ctb], Marius Barth [ctb]
Maintainer: Daniel W. Heck <daniel.heck@uni-marburg.de>

Diff between TreeBUGS versions 1.4.9 dated 2022-09-06 and 1.5.0 dated 2023-05-21

 TreeBUGS-1.4.9/TreeBUGS/R/CollectionOfInputProcessingFunctions.R |only
 TreeBUGS-1.5.0/TreeBUGS/DESCRIPTION                              |   27 
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 TreeBUGS-1.5.0/TreeBUGS/R/BFslope.R                              |  267 ++++---
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Package aRtsy updated to version 0.2.3 with previous version 0.2.2 dated 2023-04-23

Title: Generative Art with 'ggplot2'
Description: Provides algorithms for creating artworks in the 'ggplot2' language that incorporate some form of randomness.
Author: Koen Derks [aut, cre]
Maintainer: Koen Derks <koen-derks@hotmail.com>

Diff between aRtsy versions 0.2.2 dated 2023-04-23 and 0.2.3 dated 2023-05-21

 DESCRIPTION                         |   10 
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 NAMESPACE                           |    2 
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Package zoib updated to version 1.6 with previous version 1.5.5 dated 2021-05-29

Title: Bayesian Inference for Beta Regression and Zero-or-One Inflated Beta Regression
Description: Fits beta regression and zero-or-one inflated beta regression and obtains Bayesian Inference of the model via the Markov Chain Monte Carlo approach implemented in JAGS.
Author: Fang Liu <fang.liu.131@nd.edu> with contributions from Yunchuan Kong
Maintainer: Fang Liu <fang.liu.131@nd.edu>

Diff between zoib versions 1.5.5 dated 2021-05-29 and 1.6 dated 2023-05-21

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Package outForest updated to version 1.0.1 with previous version 1.0.0 dated 2023-04-25

Title: Multivariate Outlier Detection and Replacement
Description: Provides a random forest based implementation of the method described in Chapter 7.1.2 (Regression model based anomaly detection) of Chandola et al. (2009) <doi:10.1145/1541880.1541882>. It works as follows: Each numeric variable is regressed onto all other variables by a random forest. If the scaled absolute difference between observed value and out-of-bag prediction of the corresponding random forest is suspiciously large, then a value is considered an outlier. The package offers different options to replace such outliers, e.g. by realistic values found via predictive mean matching. Once the method is trained on a reference data, it can be applied to new data.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between outForest versions 1.0.0 dated 2023-04-25 and 1.0.1 dated 2023-05-21

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Package nhanesA updated to version 0.7.3 with previous version 0.7.2 dated 2023-02-17

Title: NHANES Data Retrieval
Description: Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES) website <https://www.cdc.gov/nchs/nhanes/index.htm>.
Author: Christopher Endres [aut, cre]
Maintainer: Christopher Endres <cjendres1@gmail.com>

Diff between nhanesA versions 0.7.2 dated 2023-02-17 and 0.7.3 dated 2023-05-21

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More information about nhanesA at CRAN
Permanent link

Package seacarb updated to version 3.3.2 with previous version 3.3.1 dated 2022-07-04

Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.
Author: Jean-Pierre Gattuso [aut, cre, cph], Jean-Marie Epitalon [aut], Heloise Lavigne [aut], James Orr [aut], Bernard Gentili [ctb], Mathilde Hagens [ctb], Andreas Hofmann [ctb], Jens-Daniel Mueller [ctb], Aurelien Proye [ctb], James Rae [ctb], Karline Soe [...truncated...]
Maintainer: Jean-Pierre Gattuso <jean-pierre.gattuso@imev-mer.fr>

Diff between seacarb versions 3.3.1 dated 2022-07-04 and 3.3.2 dated 2023-05-21

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Package transport updated to version 0.14-1 with previous version 0.13-0 dated 2022-10-30

Title: Computation of Optimal Transport Plans and Wasserstein Distances
Description: Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
Author: Dominic Schuhmacher [aut, cre], Bjoern Baehre [aut] , Nicolas Bonneel [aut] , Carsten Gottschlich [aut] , Valentin Hartmann [aut] , Florian Heinemann [aut] , Bernhard Schmitzer [aut] , Joern Schrieber [aut] , Timo Wilm [ctb]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

Diff between transport versions 0.13-0 dated 2022-10-30 and 0.14-1 dated 2023-05-21

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Package CAST updated to version 0.8.0 with previous version 0.7.1 dated 2023-02-04

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; MilĂ  et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>.
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

Diff between CAST versions 0.7.1 dated 2023-02-04 and 0.8.0 dated 2023-05-21

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Package dbmss updated to version 2.8-2 with previous version 2.8-0 dated 2023-01-06

Title: Distance-Based Measures of Spatial Structures
Description: Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.
Author: Eric Marcon [aut, cre] , Gabriel Lang [aut] , Stephane Traissac [aut] , Florence Puech [aut]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

Diff between dbmss versions 2.8-0 dated 2023-01-06 and 2.8-2 dated 2023-05-21

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Package areaplot updated to version 2.0.0 with previous version 1.2.3 dated 2022-11-11

Title: Plot Stacked Areas and Confidence Bands as Filled Polygons
Description: Plot stacked areas and confidence bands as filled polygons, or add polygons to existing plots. A variety of input formats are supported, including vectors, matrices, data frames, formulas, etc.
Author: Arni Magnusson [aut, cre]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

Diff between areaplot versions 1.2.3 dated 2022-11-11 and 2.0.0 dated 2023-05-21

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Package tutorial.helpers updated to version 0.2.5 with previous version 0.2.3 dated 2023-05-12

Title: Helper Functions for Creating Tutorials
Description: Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' and 'all.primer.tutorials' packages.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

Diff between tutorial.helpers versions 0.2.3 dated 2023-05-12 and 0.2.5 dated 2023-05-21

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New package tidysynth with initial version 0.2.0
Package: tidysynth
Title: A Tidy Implementation of the Synthetic Control Method
Version: 0.2.0
Description: A synthetic control offers a way of evaluating the effect of an intervention in comparative case studies. The package makes a number of improvements when implementing the method in R. These improvements allow users to inspect, visualize, and tune the synthetic control more easily. A key benefit of a tidy implementation is that the entire preparation process for building the synthetic control can be accomplished in a single pipe.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, rgenoud, optimx, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-05-20 18:10:37 UTC; ed769
Author: Eric Dunford [aut, cre]
Maintainer: Eric Dunford <ed769@georgetown.edu>
Repository: CRAN
Date/Publication: 2023-05-21 07:10:05 UTC

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New package kidsides with initial version 0.5.0
Package: kidsides
Title: Download, Cache, and Connect to KidSIDES
Version: 0.5.0
Maintainer: Nicholas Giangreco <nick.giangreco@gmail.com>
Description: Caches and then connects to a 'sqlite' database containing half a million pediatric drug safety signals. The database is part of a family of resources catalogued at <https://nsides.io>. The database contains 17 tables where the description table provides a map between the fields the field's details. The database was created by Nicholas Giangreco during his PhD thesis which you can read in Giangreco (2022) <doi:10.7916/d8-5d9b-6738>. The observations are from the Food and Drug Administration's Adverse Event Reporting System. Generalized additive models estimated drug effects across child development stages for the occurrence of an adverse event when exposed to a drug compared to other drugs. Read more at the methods detailed in Giangreco (2022) <doi:10.1016/j.medj.2022.06.001>.
License: CC BY 4.0
Encoding: UTF-8
Imports: DBI, RSQLite, R.utils, tools
Suggests: ggplot2, dbplyr, tidyr, stringr, ggthemes, rlang, ggrepel, scales, pacman, dplyr, rmarkdown, knitr, covr, testthat (>= 3.0.0), DT, gt, lobstr, prettyunits, purrr, tidyverse
URL: https://github.com/ngiangre/kidsides, https://ngiangre.github.io/kidsides/, https://nsides.io
VignetteBuilder: knitr
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2023-05-20 19:06:02 UTC; nickgiangreco
Author: Nicholas Giangreco [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-05-21 07:20:02 UTC

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Package stringx updated to version 0.2.5 with previous version 0.2.4 dated 2022-10-27

Title: Replacements for Base String Functions Powered by 'stringi'
Description: English is the native language for only 5% of the World population. Also, only 17% of us can understand this text. Moreover, the Latin alphabet is the main one for merely 36% of the total. The early computer era, now a very long time ago, was dominated by the US. Due to the proliferation of the internet, smartphones, social media, and other technologies and communication platforms, this is no longer the case. This package replaces base R string functions (such as grep(), tolower(), sprintf(), and strptime()) with ones that fully support the Unicode standards related to natural language and date-time processing. It also fixes some long-standing inconsistencies, and introduces some new, useful features. Thanks to 'ICU' (International Components for Unicode) and 'stringi', they are fast, reliable, and portable across different platforms.
Author: Marek Gagolewski [aut, cre, cph]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between stringx versions 0.2.4 dated 2022-10-27 and 0.2.5 dated 2023-05-21

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Package future.apply updated to version 1.11.0 with previous version 1.10.0 dated 2022-11-05

Title: Apply Function to Elements in Parallel using Futures
Description: Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Author: Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.apply versions 1.10.0 dated 2022-11-05 and 1.11.0 dated 2023-05-21

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