Thu, 17 Nov 2022

Package miceFast updated to version 0.8.2 with previous version 0.8.1 dated 2022-03-13

Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Description: Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

Diff between miceFast versions 0.8.1 dated 2022-03-13 and 0.8.2 dated 2022-11-17

 DESCRIPTION                         |    8 -
 MD5                                 |   54 ++++-----
 NAMESPACE                           |    1 
 NEWS.md                             |    9 +
 R/VIF.R                             |   23 ++-
 R/data.R                            |    2 
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 R/plots.R                           |   38 +++---
 README.md                           |   24 +---
 build/vignette.rds                  |binary
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 inst/doc/miceFast-intro.Rmd         |   42 +++----
 inst/doc/miceFast-intro.html        |  198 ++++++++++++++++-----------------
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 tests/testthat/Rplots.pdf           |binary
 tests/testthat/test-fill_NA_funcs.R |    8 -
 tests/testthat/test-naive_fill_NA.R |   56 ++++++---
 tests/testthat/test-vif.R           |   20 +--
 vignettes/miceFast-intro.Rmd        |   42 +++----
 28 files changed, 595 insertions(+), 663 deletions(-)

More information about miceFast at CRAN
Permanent link

Package timetk updated to version 2.8.2 with previous version 2.8.1 dated 2022-05-31

Title: A Tool Kit for Working with Time Series in R
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between timetk versions 2.8.1 dated 2022-05-31 and 2.8.2 dated 2022-11-17

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 timetk-2.8.2/timetk/DESCRIPTION                                             |    8 
 timetk-2.8.2/timetk/MD5                                                     |  430 +-
 timetk-2.8.2/timetk/NAMESPACE                                               |  772 +--
 timetk-2.8.2/timetk/NEWS.md                                                 |  970 ++--
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 timetk-2.8.2/timetk/R/augment-tk_augment_lags.R                             |  494 +-
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 timetk-2.8.2/timetk/R/coersion-tk_xts.R                                     |  462 +-
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 timetk-2.8.2/timetk/R/data-bike_sharing.R                                   |   78 
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 timetk-2.8.2/timetk/R/data-m4_yearly.R                                      |   46 
 timetk-2.8.2/timetk/R/data-taylor_30_min.R                                  |   40 
 timetk-2.8.2/timetk/R/data-walmart_sales_weekly.R                           |   98 
 timetk-2.8.2/timetk/R/data-wikipedia_traffic_daily.R                        |   54 
 timetk-2.8.2/timetk/R/diagnostics-tk_acf_diagnostics.R                      |  492 +-
 timetk-2.8.2/timetk/R/diagnostics-tk_anomaly_diagnostics.R                  |  616 +-
 timetk-2.8.2/timetk/R/diagnostics-tk_seasonal_diagnostics.R                 |  488 +-
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 timetk-2.8.2/timetk/R/dplyr-pad_by_time.R                                   |  614 +-
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 timetk-2.8.2/timetk/R/dplyr-slidify.R                                       |  534 +-
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 timetk-2.8.2/timetk/R/get-tk_get_time_scale_template.R                      |  122 
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 timetk-2.8.2/timetk/R/index-tk_index.R                                      |  788 +--
 timetk-2.8.2/timetk/R/lubridate-date_parsers.R                              |  182 
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 timetk-2.8.2/timetk/R/make-tk_make_timeseries.R                             |  888 ++--
 timetk-2.8.2/timetk/R/make-tk_make_timeseries_future.R                      | 2104 +++++-----
 timetk-2.8.2/timetk/R/plot-acf_diagnostics.R                                |  754 +--
 timetk-2.8.2/timetk/R/plot-anomaly_diagnostics.R                            |  948 ++--
 timetk-2.8.2/timetk/R/plot-seasonal_diagnostics.R                           |  704 +--
 timetk-2.8.2/timetk/R/plot-stl_diagnostics.R                                |  554 +-
 timetk-2.8.2/timetk/R/plot-time_series.R                                    | 1309 +++---
 timetk-2.8.2/timetk/R/plot-time_series_boxplot.R                            | 1302 +++---
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 timetk-2.8.2/timetk/R/recipes-step_smooth.R                                 |  641 +--
 timetk-2.8.2/timetk/R/recipes-step_timeseries_signature.R                   |  504 +-
 timetk-2.8.2/timetk/R/recipes-step_ts_clean.R                               |  446 +-
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 timetk-2.8.2/timetk/R/recipes-step_ts_pad.R                                 |  492 +-
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 timetk-2.8.2/timetk/R/rsample-time_series_cv.R                              |  942 ++--
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 timetk-2.8.2/timetk/build/vignette.rds                                      |binary
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 timetk-2.8.2/timetk/inst/doc/TK04_Plotting_Time_Series.html                 | 1031 +++-
 timetk-2.8.2/timetk/inst/doc/TK07_Time_Series_Data_Wrangling.R              |  210 
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 timetk-2.8.2/timetk/inst/doc/TK07_Time_Series_Data_Wrangling.html           | 1187 +++--
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 timetk-2.8.2/timetk/man/filter_by_time.Rd                                   |  186 
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 timetk-2.8.2/timetk/tests/testthat/test-dplyr-pad_by_time.R                 |   60 
 timetk-2.8.2/timetk/tests/testthat/test-recipes-step_timeseries_signature.R |   96 
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 timetk-2.8.2/timetk/tests/testthat/test-tk_augment_timeseries.R             |  120 
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 timetk-2.8.2/timetk/tests/testthat/test-tk_index.R                          |  666 +--
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 timetk-2.8.2/timetk/tests/testthat/test-tk_make_timeseries_future.R         |  826 +--
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 timetk-2.8.2/timetk/vignettes/TK04_Plotting_Time_Series.Rmd                 |  462 +-
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 timetk-2.8.2/timetk/vignettes/temp_archive                                  |only
 210 files changed, 33382 insertions(+), 32847 deletions(-)

More information about timetk at CRAN
Permanent link

Package s2 updated to version 1.1.1 with previous version 1.1.0 dated 2022-07-18

Title: Spherical Geometry Operators Using the S2 Geometry Library
Description: Provides R bindings for Google's s2 library for geometric calculations on the sphere. High-performance constructors and exporters provide high compatibility with existing spatial packages, transformers construct new geometries from existing geometries, predicates provide a means to select geometries based on spatial relationships, and accessors extract information about geometries.
Author: Dewey Dunnington [aut] , Edzer Pebesma [aut, cre] , Ege Rubak [aut], Jeroen Ooms [ctb] , Google, Inc. [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between s2 versions 1.1.0 dated 2022-07-18 and 1.1.1 dated 2022-11-17

 DESCRIPTION                                 |    6 +++---
 MD5                                         |   12 ++++++------
 NEWS.md                                     |    4 ++++
 build/partial.rdb                           |binary
 src/absl/container/internal/raw_hash_set.h  |    6 +++++-
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Package GreedyExperimentalDesign updated to version 1.5.5 with previous version 1.5 dated 2022-11-04

Title: Greedy Experimental Design Construction
Description: Computes experimental designs for a two-arm experiment with covariates via a number of methods: (0) complete randomization and randomization with forced-balance, (1) Greedily optimizing a balance objective function via pairwise switching. This optimization provides lower variance for the treatment effect estimator (and higher power) while preserving a design that is close to complete randomization. We return all iterations of the designs for use in a permutation test, (2) The second is via numerical optimization (via 'gurobi' which must be installed, see <https://www.gurobi.com/documentation/9.1/quickstart_windows/r_ins_the_r_package.html>) a la Bertsimas and Kallus, (3) rerandomization, (4) Karp's method for one covariate, (5) exhaustive enumeration to find the optimal solution (only for small sample sizes), (6) Binary pair matching using the 'nbpMatching' library, (7) Binary pair matching plus design number (1) to further optimize balance, (8) Binary pair matching plus design n [...truncated...]
Author: Adam Kapelner [aut, cre] , David Azriel [aut], Abba Krieger [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between GreedyExperimentalDesign versions 1.5 dated 2022-11-04 and 1.5.5 dated 2022-11-17

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Package copula updated to version 1.1-1 with previous version 1.1-0 dated 2022-06-15

Title: Multivariate Dependence with Copulas
Description: Classes (S4) of commonly used elliptical, Archimedean, extreme-value and other copula families, as well as their rotations, mixtures and asymmetrizations. Nested Archimedean copulas, related tools and special functions. Methods for density, distribution, random number generation, bivariate dependence measures, Rosenblatt transform, Kendall distribution function, perspective and contour plots. Fitting of copula models with potentially partly fixed parameters, including standard errors. Serial independence tests, copula specification tests (independence, exchangeability, radial symmetry, extreme-value dependence, goodness-of-fit) and model selection based on cross-validation. Empirical copula, smoothed versions, and non-parametric estimators of the Pickands dependence function.
Author: Marius Hofert [aut] , Ivan Kojadinovic [aut] , Martin Maechler [aut, cre] , Jun Yan [aut] , Johanna G. Neslehova [ctb] , <https://orcid.org/0000-0001-9634-4796>), Rebecca Morger [ctb] : code for free mixCopula weight parameters)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between copula versions 1.1-0 dated 2022-06-15 and 1.1-1 dated 2022-11-17

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Package cffr updated to version 0.4.0 with previous version 0.3.0 dated 2022-09-23

Title: Generate Citation File Format ('cff') Metadata for R Packages
Description: The Citation File Format version 1.2.0 <doi:10.5281/zenodo.5171937> is a human and machine readable file format which provides citation metadata for software. This package provides core utilities to generate and validate this metadata.
Author: Diego Hernangomez [aut, cre, cph] , Joao Martins [rev] , Scott Chamberlain [rev]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package vcr updated to version 1.2.0 with previous version 1.1.0 dated 2022-11-04

Title: Record 'HTTP' Calls to Disk
Description: Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.
Author: Scott Chamberlain [aut, cre] , Aaron Wolen [aut] , Maelle Salmon [aut] , Daniel Possenriede [aut] , rOpenSci [fnd]
Maintainer: Scott Chamberlain <sckott@protonmail.com>

Diff between vcr versions 1.1.0 dated 2022-11-04 and 1.2.0 dated 2022-11-17

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Package tvthemes updated to version 1.3.2 with previous version 1.3.1 dated 2022-07-19

Title: TV Show Themes and Color Palettes for 'ggplot2' Graphics
Description: Contains various 'ggplot2' themes and color palettes based on TV shows such as 'Game of Thrones', 'Brooklyn Nine-Nine', 'Avatar: The Last Airbender', 'Spongebob Squarepants', and more.
Author: Ryo Nakagawara [aut, cre]
Maintainer: Ryo Nakagawara <ryonakagawara@gmail.com>

Diff between tvthemes versions 1.3.1 dated 2022-07-19 and 1.3.2 dated 2022-11-17

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Package shinyWidgets updated to version 0.7.5 with previous version 0.7.4 dated 2022-10-05

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between shinyWidgets versions 0.7.4 dated 2022-10-05 and 0.7.5 dated 2022-11-17

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Package RcppSpdlog updated to version 0.0.10 with previous version 0.0.9 dated 2022-11-04

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C++ code. More explicit use via 'LinkingTo:' is also supported.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package mlrCPO updated to version 0.3.7-6 with previous version 0.3.7-5 dated 2022-10-18

Title: Composable Preprocessing Operators and Pipelines for Machine Learning
Description: Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
Author: Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
Maintainer: Martin Binder <developer.mb706@doublecaret.com>

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Package jmvcore updated to version 2.3.19 with previous version 2.3.12 dated 2022-05-31

Title: Dependencies for the 'jamovi' Framework
Description: A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmvcore versions 2.3.12 dated 2022-05-31 and 2.3.19 dated 2022-11-17

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Package HDInterval updated to version 0.2.4 with previous version 0.2.2 dated 2020-05-23

Title: Highest (Posterior) Density Intervals
Description: A generic function and a set of methods to calculate highest density intervals for a variety of classes of objects which can specify a probability density distribution, including MCMC output, fitted density objects, and functions.
Author: Ngumbang Juat [cre], Mike Meredith [aut], John Kruschke [aut]
Maintainer: Ngumbang Juat <ngumbangjuat@hotmail.com>

Diff between HDInterval versions 0.2.2 dated 2020-05-23 and 0.2.4 dated 2022-11-17

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Package HCTDesign updated to version 0.7.2 with previous version 0.7.1 dated 2022-03-10

Title: Group Sequential Design for Historical Control Trial with Survival Outcome
Description: It provides functions to design historical controlled trials with survival outcome by group sequential method. The options for interim look boundaries are efficacy only, efficacy & futility or futility only. It also provides the function to monitor the trial for any unplanned look. The package is based on Jianrong Wu, Xiaoping Xiong (2016) <doi:10.1002/pst.1756> and Jianrong Wu, Yimei Li (2020) <doi:10.1080/10543406.2019.1684305>.
Author: Tushar Patni [aut, cre], Yimei Li [aut], Jianrong Wu [aut], Arzu Onar-Thomas [aut]
Maintainer: Tushar Patni <patni006@umn.edu>

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Package gRain updated to version 1.3.12 with previous version 1.3.11 dated 2022-09-04

Title: Graphical Independence Networks
Description: Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.
Author: Soeren Hoejsgaard <sorenh@math.aau.dk>
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package geoTS updated to version 0.1.8 with previous version 0.1.3 dated 2020-03-06

Title: Methods for Handling and Analyzing Time Series of Satellite Images
Description: Provides functions and methods for: splitting large raster objects into smaller chunks, transferring images from a binary format into raster layers, transferring raster layers into an 'RData' file, calculating the maximum gap (amount of consecutive missing values) of a numeric vector, and fitting harmonic regression models to periodic time series. The homoscedastic harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef (2000) <doi:10.1080/014311600209814>.
Author: Inder Tecuapetla-Gomez [aut, cre]
Maintainer: Inder Tecuapetla-Gomez <itecuapetla@conabio.gob.mx>

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Package dynamac updated to version 0.1.12 with previous version 0.1.11 dated 2020-04-03

Title: Dynamic Simulation and Testing for Single-Equation ARDL Models
Description: While autoregressive distributed lag (ARDL) models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various ARDL models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).
Author: Soren Jordan [aut, cre, cph], Andrew Q. Philips [aut]
Maintainer: Soren Jordan <sorenjordanpols@gmail.com>

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Package wiqid updated to version 0.3.3 with previous version 0.3.1 dated 2022-06-20

Title: Quick and Dirty Estimates for Wildlife Populations
Description: Provides simple, fast functions for maximum likelihood and Bayesian estimates of wildlife population parameters, suitable for use with simulated data or bootstraps. Early versions were indeed quick and dirty, but optional error-checking routines and meaningful error messages have been added. Includes single and multi-season occupancy, closed capture population estimation, survival, species richness and distance measures.
Author: Ngumbang Juat [cre], Mike Meredith [aut], Jason Bryer [ctb] , John Kruschke [ctb], Brian Neelon [ctb] , Michael Schaub [ctb] , R Core Team [ctb]
Maintainer: Ngumbang Juat <ngumbangjuat@hotmail.com>

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Package smacpod updated to version 2.5 with previous version 2.4.1 dated 2022-04-08

Title: Statistical Methods for the Analysis of Case-Control Point Data
Description: Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.
Author: Joshua French [aut, cre]
Maintainer: Joshua French <joshua.french@ucdenver.edu>

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Package mcmcOutput updated to version 0.1.3 with previous version 0.1.1 dated 2020-06-04

Title: Functions to Store, Manipulate and Display Markov Chain Monte Carlo (MCMC) Output
Description: Implements a class ('mcmcOutput') for efficiently storing and handling Markov chain Monte Carlo (MCMC) output, intended as an aid for those writing customized MCMC samplers. A range of constructor methods are provided covering common output formats. Functions are provided to generate summary and diagnostic statistics and to display histograms or density plots of posterior distributions, for the entire output, or subsets of draws, nodes, or parameters.
Author: Ngumbang Juat [cre], Mike Meredith [aut], John Kruschke [ctb]
Maintainer: Ngumbang Juat <ngumbangjuat@hotmail.com>

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Package AgroR updated to version 1.3.2 with previous version 1.3.1 dated 2022-08-29

Title: Experimental Statistics and Graphics for Agricultural Sciences
Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootech [...truncated...]
Author: Gabriel Danilo Shimizu [aut, cre] , Rodrigo Yudi Palhaci Marubayashi [aut, ctb] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <shimizu@uel.br>

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Package optimLanduse updated to version 1.1.2 with previous version 1.1.0 dated 2022-08-17

Title: Robust Land-Use Optimization
Description: Robust multi-criteria land-allocation optimization that explicitly accounts for the uncertainty of the indicators in the objective function. Solves the problem of allocating scarce land to various land-use options with regard to multiple, coequal indicators. The method aims to find the land allocation that represents the indicator composition with the best possible trade-off under uncertainty. optimLanduse includes the actual optimization procedure as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) <doi:10.1016/j.jenvman.2020.110248>.
Author: Kai Husmann [aut, cre] , Volker von Groß [aut] , Jasper Fuchs [aut] , Kai Boedeker [aut] , Goettingen University - Forest Economics and Sustainable Land-use Planning [cph, fnd], TUM School of Life Sciences - Forest Management [cph, fnd]
Maintainer: Kai Husmann <kai.husmann@uni-goettingen.de>

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Package theft updated to version 0.4.1.1 with previous version 0.3.9.6 dated 2022-05-31

Title: Tools for Handling Extraction of Features from Time Series
Description: Consolidates and calculates different sets of time-series features from multiple 'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021) <doi:10.5281/zenodo.5546815>, 'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>, 'tsfeatures' Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020) <https://CRAN.R-project.org/package=tsfeatures>, 'tsfresh' Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018) <doi:10.1016/j.neucom.2018.03.067>, 'TSFEL' Barandas, M., et al. (2020) <doi:10.1016/j.softx.2020.100456>, and 'Kats' Facebook Infrastructure Data Science (2021) <https://facebookresearch.github.io/Kats/>. Provides a standardised workflow from feature calculation to feature processing, machine learning classification procedures, and the production of statistical graphics.
Author: Trent Henderson [cre, aut], Annie Bryant [ctb]
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>

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More information about theft at CRAN
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Package sandwichr updated to version 1.0.2 with previous version 1.0.1 dated 2022-02-08

Title: Spatial Interpolation Based on Spatial Stratified Heterogeneity
Description: Spatial interpolation is a common practice in social and environmental science. This package enables the implementation of SSH-based spatial interpolation proposed by Wang et al. (2013) <doi:10.1068/a44710>. It provides functions to (1) evaluate stratification schemes, (2) interpolate sampling data over user-defined reporting units, (3) assess interpolation uncertainties, and (4) evaluate overall accuracy using the k-fold cross-validation estimate.
Author: Yue Lin [aut, cre], Chengdong Xu [aut, ctb], Jinfeng Wang [aut, ctb]
Maintainer: Yue Lin <lin.3326@osu.edu>

Diff between sandwichr versions 1.0.1 dated 2022-02-08 and 1.0.2 dated 2022-11-17

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Package corTESTsrd updated to version 1.0-0 with previous version 0.9-2 dated 2022-08-14

Title: Significance Testing of Rank Cross-Correlations under SRD
Description: Significance test of Spearman's Rho or Kendall's Tau between short-range dependent random variables.
Author: David Lun [aut, cre], Svenja Fischer [aut], Alberto Viglione [aut]
Maintainer: David Lun <lun@hydro.tuwien.ac.at>

Diff between corTESTsrd versions 0.9-2 dated 2022-08-14 and 1.0-0 dated 2022-11-17

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New package sherlock with initial version 0.5.1
Package: sherlock
Title: Graphical Displays to Aid Structured Problem Solving and Diagnosis
Version: 0.5.1
Description: Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique. The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/gaboraszabo/sherlock, https://gaboraszabo.github.io/sherlock/
BugReports: https://github.com/gaboraszabo/sherlock/issues
Imports: magrittr, rlang (>= 0.4.11), forcats, ggplot2, dplyr, cowplot, scales, ggh4x, stringr, plotly, readr, openxlsx
Suggests: roxygen2
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-16 15:16:47 UTC; gabor
Author: Gabor Szabo [aut, cre]
Maintainer: Gabor Szabo <gabor.attila.szabo@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-17 14:10:02 UTC

More information about sherlock at CRAN
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Package ClusROC updated to version 1.0.2 with previous version 1.0.1 dated 2022-05-25

Title: ROC Analysis in Three-Class Classification Problems for Clustered Data
Description: Statistical methods for ROC surface analysis in three-class classification problems for clustered data and in presence of covariates. In particular, the package allows to obtain covariate-specific point and interval estimation for: (i) true class fractions (TCFs) at fixed pairs of thresholds; (ii) the ROC surface; (iii) the volume under ROC surface (VUS); (iv) the optimal pairs of thresholds. Methods considered in points (i), (ii) and (iv) are proposed and discussed in To et al. (2022) <doi:10.1177/09622802221089029>. Referring to point (iv), three different selection criteria are implemented: Generalized Youden Index (GYI), Closest to Perfection (CtP) and Maximum Volume (MV). Methods considered in point (iii) are proposed and discussed in Xiong et al. (2018) <doi:10.1177/0962280217742539>. Visualization tools are also provided. We refer readers to the articles cited above for all details.
Author: Duc-Khanh To [aut, cre] , with contributions from Gianfranco Adimari and Monica Chiogna
Maintainer: Duc-Khanh To <toduc@stat.unipd.it>

Diff between ClusROC versions 1.0.1 dated 2022-05-25 and 1.0.2 dated 2022-11-17

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Permanent link

New package ggChernoff with initial version 0.3.0
Package: ggChernoff
Title: Chernoff Faces for 'ggplot2'
Version: 0.3.0
Description: Provides a Chernoff face geom for 'ggplot2'. Maps multivariate data to human-like faces. Inspired by Chernoff (1973) <doi:10.1080/01621459.1973.10482434>.
Depends: R (>= 3.2.5)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 2.2.0), grid, scales
URL: https://github.com/Selbosh/ggChernoff
BugReports: https://github.com/Selbosh/ggChernoff/issues
NeedsCompilation: no
Packaged: 2022-11-16 15:27:22 UTC; david
Author: David Selby [aut, cre]
Maintainer: David Selby <selby@cs.uni-kl.de>
Repository: CRAN
Date/Publication: 2022-11-17 13:10:01 UTC

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New package exactLTRE with initial version 0.1.0
Package: exactLTRE
Title: An Exact Method for Life Table Response Experiment (LTRE) Analysis
Version: 0.1.0
Description: Life Table Response Experiments (LTREs) are a method of comparative demographic analysis. The purpose is to quantify how the difference or variance in vital rates (stage-specific survival, growth, and fertility) among populations contributes to difference or variance in the population growth rate, "lambda." We provide functions for one-way fixed design and random design LTRE, using either the classical methods that have been in use for several decades, or an fANOVA-based exact method that directly calculates the impact on lambda of changes in matrix elements, for matrix elements and their interactions. The equations and descriptions for the classical methods of LTRE analysis can be found in "Matrix Population Models: Construction, Analysis, and Interpretation (2nd edition)" Caswell (2001, ISBN: 0878930965), and the fANOVA-based exact methods will be published in a forthcoming paper. We also provide some demographic functions, including generation time from Bienvenu and Legendre (2015) [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: matrixcalc, popdemo
NeedsCompilation: no
Packaged: 2022-11-16 14:14:39 UTC; cmh352
Author: Christina Hernandez [aut, cre]
Maintainer: Christina Hernandez <cmh352@cornell.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-11-17 14:00:02 UTC

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New package era with initial version 0.4.1
Package: era
Title: Year-Based Time Scales
Version: 0.4.1
Description: Provides a consistent representation of year-based time scales as a numeric vector with an associated 'era'. There are built-in era definitions for many year numbering systems used in contemporary and historic calendars (e.g. Common Era, Islamic 'Hijri' years); year-based time scales used in archaeology, astronomy, geology, and other palaeosciences (e.g. Before Present, SI-prefixed 'annus'); and support for arbitrary user-defined eras. Years can converted from any one era to another using a generalised transformation function. Methods are also provided for robust casting and coercion between years and other numeric types, type-stable arithmetic with years, and pretty-printing in tables.
Language: en-GB
License: MIT + file LICENSE
URL: https://era.joeroe.io, https://github.com/joeroe/era
BugReports: https://github.com/joeroe/era/issues
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: vctrs (>= 0.3.0), methods, rlang, pillar
Suggests: tibble, testthat, covr, knitr, rmarkdown, dplyr, spelling, purrr, tidyr, lubridate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-16 15:42:21 UTC; joeroe
Author: Joe Roe [aut, cre]
Maintainer: Joe Roe <joe@joeroe.io>
Repository: CRAN
Date/Publication: 2022-11-17 13:10:04 UTC

More information about era at CRAN
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New package elections.dtree with initial version 1.0.3
Package: elections.dtree
Title: Ranked Voting Election Audits with Dirichlet-Trees
Description: Perform ballot-polling Bayesian audits for ranked voting elections using Dirichlet-tree prior distributions. Everest et al. (2022) <arXiv:2206.14605>, <arXiv:2209.03881>.
Version: 1.0.3
Depends: R (>= 4.0.0)
SystemRequirements: C++17
License: GPL-3
LinkingTo: Rcpp, RcppThread, testthat
Imports: Rcpp, methods, Rdpack, R6, parallel
Suggests: covr, testthat (>= 3.0.0), xml2
Encoding: UTF-8
URL: https://fleverest.github.io/elections.dtree/, https://github.com/fleverest/elections.dtree/
BugReports: https://github.com/fleverest/elections.dtree/issues/
NeedsCompilation: yes
Packaged: 2022-11-16 15:37:03 UTC; dev
Author: Floyd Everest [aut, cre, cph] , Damjan Vukcevic [aut]
Maintainer: Floyd Everest <me@floydeverest.com>
Repository: CRAN
Date/Publication: 2022-11-17 13:10:08 UTC

More information about elections.dtree at CRAN
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Package R2SWF updated to version 0.9-8 with previous version 0.9-7 dated 2022-02-11

Title: Convert R Graphics to Flash Animations
Description: Using the 'Ming' library <https://github.com/libming/libming> to create Flash animations. Users can either use the 'SWF' device swf() to generate 'SWF' file directly through plotting functions like plot() and lines(), or convert images of other formats ('SVG', 'PNG', 'JPEG') into 'SWF'.
Author: Yixuan Qiu, Yihui Xie, Cameron Bracken and authors of included software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between R2SWF versions 0.9-7 dated 2022-02-11 and 0.9-8 dated 2022-11-17

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 49 files changed, 580 insertions(+), 572 deletions(-)

More information about R2SWF at CRAN
Permanent link

Package openeo updated to version 1.3.0 with previous version 1.2.2 dated 2022-10-17

Title: Client Interface for 'openEO' Servers
Description: Access data and processing functionalities of 'openEO' compliant back-ends in R.
Author: Florian Lahn [aut, cre], Peter James Zellner [ctb], Matthias Mohr [ctb]
Maintainer: Florian Lahn <florian.lahn@eftas.com>

Diff between openeo versions 1.2.2 dated 2022-10-17 and 1.3.0 dated 2022-11-17

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 openeo-1.3.0/openeo/NEWS.md                                                    |  635 -
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 openeo-1.3.0/openeo/R/client.R                                                 | 1842 +-
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New package FamEvent with initial version 3.0
Package: FamEvent
Title: Family Age-at-Onset Data Simulation and Penetrance Estimation
Version: 3.0
Date: 2022-11-16
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>
Description: Simulates age-at-onset traits associated with a segregating major gene in family data obtained from population-based, clinic-based, or multi-stage designs. Appropriate ascertainment correction is utilized to estimate age-dependent penetrance functions either parametrically from the fitted model or nonparametrically from the data. The Expectation and Maximization algorithm can infer missing genotypes and carrier probabilities estimated from family's genotype and phenotype information or from a fitted model. Plot functions include pedigrees of simulated families and predicted penetrance curves based on specified parameter values. For more information see Choi, Y.-H., Briollais, L., He, W. and Kopciuk, K. (2021) FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs, Journal of Statistical Software 97 (7), 1-30.
License: GPL (>= 2.0)
NeedsCompilation: no
LazyData: true
Depends: R (>= 3.3.0), survival
Imports: MASS, kinship2, truncnorm, eha, pracma, cmprsk
Repository: CRAN
Packaged: 2022-11-16 23:17:17 UTC; yun-heechoi
Date/Publication: 2022-11-17 13:00:02 UTC

More information about FamEvent at CRAN
Permanent link

Package cubble updated to version 0.2.0 with previous version 0.1.1 dated 2022-06-02

Title: A Vector Spatio-Temporal Data Structure for Data Analysis
Description: A spatiotemperal data object in a relational data structure to separate the recording of time variant/ invariant variables.
Author: H. Sherry Zhang [aut, cre] , Dianne Cook [aut] , Ursula Laa [aut] , Nicolas Langrene [aut] , Patricia Menendez [aut]
Maintainer: H. Sherry Zhang <huize.zhang@monash.edu>

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Package voluModel updated to version 0.1.7 with previous version 0.1.6 dated 2022-06-27

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

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Package stats19 updated to version 2.0.1 with previous version 2.0.0 dated 2021-10-29

Title: Work with Open Road Traffic Casualty Data from Great Britain
Description: Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The data are provided as 'CSV' files with detailed road safety data about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979, the types (including make and model) of vehicles involved and the consequential casualties. The statistics relate only to personal casualties on public roads that are reported to the police, and subsequently recorded, using the 'STATS19' accident reporting form. See the Department for Transport website <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more information on these data.
Author: Robin Lovelace [aut, cre] , Malcolm Morgan [aut] , Layik Hama [aut] , Mark Padgham [aut] , David Ranzolin [rev], Adam Sparks [rev, ctb] , Ivo Wengraf [ctb], RAC Foundation [fnd]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package rMOST updated to version 0.0.2 with previous version 0.0.1 dated 2022-11-14

Title: Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
Description: Estimates Pareto-optimal solution for personnel selection with 3 objectives using Normal Boundary Intersection (NBI) algorithm introduced by Das and Dennis (1998) <doi:10.1137/S1052623496307510>. Takes predictor intercorrelations and predictor-objective relations as input and generates a series of solutions containing predictor weights as output. Accepts between 3 and 10 selection predictors. Maximum 2 objectives could be adverse impact objectives. Partially modeled after De Corte (2006) TROFSS Fortran program <https://users.ugent.be/~wdecorte/trofss.pdf> and updated from 'ParetoR' package described in Song et al. (2017) <doi:10.1037/apl0000240>. For details, see Song et al. (in press).
Author: Chelsea Song [aut, cre]
Maintainer: Chelsea Song <qianqisong@gmail.com>

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Package rflsgen updated to version 1.2.1 with previous version 1.2.0 dated 2022-10-11

Title: Neutral Landscape Generator with Targets on Landscape Indices
Description: Interface to the 'flsgen' neutral landscape generator <https://github.com/dimitri-justeau/flsgen>. It allows to - Generate fractal terrain; - Generate landscape structures satisfying user targets over landscape indices; - Generate landscape raster from landscape structures.
Author: Dimitri Justeau-Allaire, Gregoire Blanchard, Thomas Ibanez, Xavier Lorca, Ghislain Vieilledent, Philippe Birnbaum
Maintainer: Dimitri Justeau-Allaire <dimitri.justeau@gmail.com>

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Package mkin updated to version 1.2.0 with previous version 1.1.1 dated 2022-07-12

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Heteroscedasticity can be taken into account using variance by variable or two-component error models as described by Ranke and Meinecke (2018) <doi:10.3390/environments6120124>. Interfaces to several nonlinear mixed-effects model packages are available, some of which are described by Ranke et al. (2021) <doi:10.3390/environments8080071>. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] , Katrin Lindenberger [ctb] ), Rene Lehmann [ctb] and invilr), Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <johannes.ranke@jrwb.de>

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New package deBInfer with initial version 0.4.4
Package: deBInfer
Title: Bayesian Inference for Differential Equations
Version: 0.4.4
Date: 2022-11-14
BugReports: https://github.com/pboesu/debinfer/issues
URL: https://github.com/pboesu/debinfer
Description: A Bayesian framework for parameter inference in differential equations. This approach offers a rigorous methodology for parameter inference as well as modeling the link between unobservable model states and parameters, and observable quantities. Provides templates for the DE model, the observation model and data likelihood, and the model parameters and their prior distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs to estimate the posterior distributions of the parameters and any derived quantities, including the model trajectories. Further functionality is provided to facilitate MCMC diagnostics and the visualisation of the posterior distributions of model parameters and trajectories.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.5.0), deSolve
Imports: truncdist, coda, RColorBrewer, MASS, stats, mvtnorm, graphics, grDevices, plyr, PBSddesolve, methods
Suggests: testthat, knitr, rmarkdown, devtools, R.rsp, beanplot
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2022-11-16 17:09:32 UTC; philipp.boerschsupan
Author: Philipp H Boersch-Supan [aut, cre] , Leah R Johnson [aut] , Sadie J Ryan [aut]
Maintainer: Philipp H Boersch-Supan <pboesu@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-17 12:00:24 UTC

More information about deBInfer at CRAN
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Package ECOTOXr updated to version 0.2.0 with previous version 0.1.1 dated 2021-10-05

Title: Download and Extract Data from US EPA's ECOTOX Database
Description: The US EPA ECOTOX database is a freely available database with a treasure of aquatic and terrestrial ecotoxicological data. As the online search interface doesn't come with an API, this package provides the means to easily access and search the database in R. To this end, all raw tables are downloaded from the EPA website and stored in a local SQLite database.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package IPMbook updated to version 0.1.4 with previous version 0.1.3 dated 2021-12-10

Title: Functions and Data for the Book 'Integrated Population Models'
Description: Provides functions and data sets to accompany the book 'Integrated Population Models: Theory and Ecological Applications with R and JAGS' by Michael Schaub and Marc Kéry (ISBN: 9780128205648).
Author: Andy Royle [cre], Michael Schaub [aut], Marc Kery [aut], Mike Meredith [aut], Raphael Arlettaz [dtc] , Gabriel Banderet [dtc] , Francois Biollaz [dtc] , Radames Bionda [dtc] , Thomas Bregnballe [dtc] , Hans Jakober [dtc] , Ioannis Ntzoufras [ctb], Lu [...truncated...]
Maintainer: Andy Royle <aroyle@usgs.gov>

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Package IceSat2R updated to version 1.0.4 with previous version 1.0.3 dated 2022-08-08

Title: ICESat-2 Altimeter Data using R
Description: Programmatic connection to the 'OpenAltimetry API' <https://openaltimetry.org/data/swagger-ui/> to download and process 'ATL03' (Global Geolocated Photon Data), 'ATL06' (Land Ice Height), 'ATL07' (Sea Ice Height), 'ATL08' (Land and Vegetation Height), 'ATL10' (Sea Ice Freeboard), 'ATL12' (Ocean Surface Height) and 'ATL13' (Inland Water Surface Height) 'ICESat-2' Altimeter Data. The user has the option to download the data by selecting a bounding box from a 1- or 5-degree grid globally utilizing a shiny application. The 'ICESat-2' mission collects altimetry data of the Earth's surface. The sole instrument on 'ICESat-2' is the Advanced Topographic Laser Altimeter System (ATLAS) instrument that measures ice sheet elevation change and sea ice thickness, while also generating an estimate of global vegetation biomass. 'ICESat-2' continues the important observations of ice-sheet elevation change, sea-ice freeboard, and vegetation canopy height begun by 'ICESat' in 2003.
Author: Lampros Mouselimis [aut, cre] , OpenAltimetry.org [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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