Sat, 28 Oct 2023

Package gluedown updated to version 1.0.7 with previous version 1.0.6 dated 2022-11-06

Title: Wrap Vectors in Markdown Formatting
Description: Ease the transition between R vectors and markdown text. With 'gluedown' and 'rmarkdown', users can create traditional vectors in R, glue those strings together with the markdown syntax, and print those formatted vectors directly to the document. This package primarily uses GitHub Flavored Markdown (GFM), an offshoot of the unambiguous CommonMark specification by John MacFarlane (2019) <https://spec.commonmark.org/>.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

Diff between gluedown versions 1.0.6 dated 2022-11-06 and 1.0.7 dated 2023-10-28

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Package fmesher updated to version 0.1.4 with previous version 0.1.3 dated 2023-10-18

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1- and 2-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package embed updated to version 1.1.3 with previous version 1.1.2 dated 2023-08-17

Title: Extra Recipes for Encoding Predictors
Description: Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737> can be used. There are also functions for dimension reduction and other approaches.
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between embed versions 1.1.2 dated 2023-08-17 and 1.1.3 dated 2023-10-28

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Package gRain updated to version 1.4.0 with previous version 1.3.14 dated 2023-08-12

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>

Diff between gRain versions 1.3.14 dated 2023-08-12 and 1.4.0 dated 2023-10-28

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Package RSQLite updated to version 2.3.2 with previous version 2.3.1 dated 2023-04-03

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions in a recent version is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package rphylopic updated to version 1.2.2 with previous version 1.2.1 dated 2023-10-10

Title: Get Silhouettes of Organisms from PhyloPic
Description: Work with the PhyloPic Web Service (<http://api-docs.phylopic.org/v2/>) to fetch silhouette images of organisms. Includes functions for adding silhouettes to both base R plots and ggplot2 plots.
Author: William Gearty [aut, cre] , Lewis A. Jones [aut] , Scott Chamberlain [aut] , David Miller [ctb]
Maintainer: William Gearty <willgearty@gmail.com>

Diff between rphylopic versions 1.2.1 dated 2023-10-10 and 1.2.2 dated 2023-10-28

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Package octopus updated to version 0.4.0 with previous version 0.3.0 dated 2023-06-16

Title: A Database Management Tool
Description: A database management tool built as a 'shiny' application. Connect to various databases to send queries, upload files, preview tables, and more.
Author: Marcus Codrescu [aut, cre]
Maintainer: Marcus Codrescu <m.codrescu@outlook.com>

Diff between octopus versions 0.3.0 dated 2023-06-16 and 0.4.0 dated 2023-10-28

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Package mixvlmc updated to version 0.2.0 with previous version 0.1.1 dated 2023-07-10

Title: Variable Length Markov Chains with Covariates
Description: Estimates Variable Length Markov Chains (VLMC) models and VLMC with covariates models from discrete sequences. Supports model selection via information criteria and simulation of new sequences from an estimated model. See Bühlmann, P. and Wyner, A. J. (1999) <doi:10.1214/aos/1018031204> for VLMC and Zanin Zambom, A., Kim, S. and Lopes Garcia, N. (2022) <doi:10.1111/jtsa.12615> for VLMC with covariates.
Author: Fabrice Rossi [aut, cre, cph] , Hugo Le Picard [ctb] , Guenole Joubioux [ctb]
Maintainer: Fabrice Rossi <Fabrice.Rossi@apiacoa.org>

Diff between mixvlmc versions 0.1.1 dated 2023-07-10 and 0.2.0 dated 2023-10-28

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Package metro updated to version 0.9.2 with previous version 0.9.1 dated 2021-03-01

Title: Washington Metropolitan Area Transit Authority API
Description: The Washington Metropolitan Area Transit Authority is a government agency operating light rail and passenger buses in the Washington D.C. area. With a free developer account, access their 'Metro Transparent Data Sets API' <https://developer.wmata.com/> to return data frames of transit data for easy analysis.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

Diff between metro versions 0.9.1 dated 2021-03-01 and 0.9.2 dated 2023-10-28

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More information about metro at CRAN
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New package AlleleShift with initial version 1.1-2
Package: AlleleShift
Title: Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change
Version: 1.1-2
Date: 2023-10-28
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>
Description: Methods (<doi:10.7717/peerj.11534>) are provided of calibrating and predicting shifts in allele frequencies through redundancy analysis ('vegan::rda()') and generalized additive models ('mgcv::gam()'). Visualization functions for predicted changes in allele frequencies include 'shift.dot.ggplot()', 'shift.pie.ggplot()', 'shift.moon.ggplot()', 'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made with input data sets that are prepared by helper functions for each visualization method. Examples in the documentation show how to prepare animated climate change graphics through a time series with the 'gganimate' package. Function 'amova.rda()' shows how Analysis of Molecular Variance can be directly conducted with the results from redundancy analysis.
License: GPL-3
Imports: vegan (>= 2.6-4), BiodiversityR (>= 2.15-4), adegenet
Depends: R (>= 4.1.0)
Suggests: poppr, mgcv, dplyr, ggplot2, GGally, ggforce, ggrepel, ggsci, gggibbous, gganimate, patchwork
Packaged: 2023-10-28 16:17:49 UTC; RKINDT
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2023-10-28 21:50:12 UTC

More information about AlleleShift at CRAN
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Package Qtools updated to version 1.5.9 with previous version 1.5.8 dated 2023-10-17

Title: Utilities for Quantiles
Description: Functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, restricted quantile regression, directional quantile classification, and quantile ratio regression. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.
Author: Marco Geraci [aut, cph, cre] , Alessio Farcomeni [ctb] , Cinzia Viroli [ctb]
Maintainer: Marco Geraci <marco.geraci@uniroma1.it>

Diff between Qtools versions 1.5.8 dated 2023-10-17 and 1.5.9 dated 2023-10-28

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Permanent link

New package INLAjoint with initial version 23.10.28
Package: INLAjoint
Title: Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'
Version: 23.10.28
Description: Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).
License: GPL-3
URL: https://github.com/DenisRustand/INLAjoint
BugReports: https://github.com/DenisRustand/INLAjoint/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6), utils, stats
Imports: numDeriv, lme4, ggplot2
Additional_repositories: https://inla.r-inla-download.org/R/testing
Suggests: INLA, knitr, rmarkdown, splines, graphics, grDevices, methods, R.rsp
BuildVignettes: true
VignetteBuilder: R.rsp
Maintainer: Denis Rustand <INLAjoint@gmail.com>
NeedsCompilation: no
Packaged: 2023-10-27 21:05:31 UTC; dr
Author: Denis Rustand [cre, aut] , Elias Teixeira Krainski [aut] , Haavard Rue [aut] , Janet van Niekerk [aut]
Repository: CRAN
Date/Publication: 2023-10-28 15:10:07 UTC

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New package DMQ with initial version 0.1.2
Package: DMQ
Title: Dynamic Multiple Quantile (DMQ) Model
Version: 0.1.2
Date: 2023-10-25
Maintainer: Leopoldo Catania <leopoldo.catania@econ.au.dk>
Description: Perform estimation, prediction, and simulations using the Dynamic Multiple Quantile model of Catania and Luati (2023) <doi:10.1016/j.jeconom.2022.11.002>. Can be used to estimate a set of conditional time-varying quantiles of a time series that do not cross.
License: GPL-3
Imports: Rcpp (>= 0.12.17)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.6.0), Rsolnp, DEoptim, MASS, parallel
NeedsCompilation: yes
Packaged: 2023-10-27 15:28:31 UTC; au588008
Author: Leopoldo Catania [cre, aut] , Alessandra Luati [ctb]
Repository: CRAN
Date/Publication: 2023-10-28 15:20:05 UTC

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New package defineOptions with initial version 0.9
Package: defineOptions
Title: Define and Parse Command Line Options
Version: 0.9
Date: 2023-10-21
Maintainer: Toshihiro Umehara <toshi@niceume.com>
Description: Parses command line arguments and supplies values to scripts. Users can specify names to which parsed inputs are assigned, value types into which inputs are cast, long options or short options, input splitters and callbacks that define how options should be specified and how input values are supplied.
Imports: methods
Suggests: RUnit
License: GPL (>= 3)
URL: https://github.com/niceume/defineOptions
BugReports: https://github.com/niceume/defineOptions
NeedsCompilation: no
Packaged: 2023-10-28 04:49:55 UTC; toshihiro
Author: Toshihiro Umehara [aut, cre]
Repository: CRAN
Date/Publication: 2023-10-28 15:20:02 UTC

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New package colorsGen with initial version 1.0.0
Package: colorsGen
Title: Generation of Random Colors
Version: 1.0.0
Description: Generation of random colors, possibly with a given hue or a given luminosity. This is a port of the JavaScript library 'randomColor' <https://randomcolor.lllllllllllllllll.com/>.
License: CC0
URL: https://github.com/stla/colorsGen
BugReports: https://github.com/stla/colorsGen/issues
Depends: R (>= 2.10)
Imports: colorspace, grDevices, methods, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-10-28 08:19:44 UTC; SDL96354
Author: Stephane Laurent [aut, cre], David Merfield [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2023-10-28 15:30:02 UTC

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Package spatstat.linnet updated to version 3.1-3 with previous version 3.1-1 dated 2023-05-14

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.linnet versions 3.1-1 dated 2023-05-14 and 3.1-3 dated 2023-10-28

 DESCRIPTION                    |   14 +-
 MD5                            |  270 ++++++++++++++++++++---------------------
 NEWS                           |   13 +
 inst/doc/packagesizes.txt      |    2 
 man/Extract.linim.Rd           |    1 
 man/Extract.linnet.Rd          |    1 
 man/Extract.lpp.Rd             |    1 
 man/Math.linim.Rd              |    1 
 man/Replace.linim.Rd           |    1 
 man/Smooth.lpp.Rd              |    1 
 man/Window.lpp.Rd              |    1 
 man/addVertices.Rd             |    2 
 man/affine.linnet.Rd           |    2 
 man/affine.lpp.Rd              |    2 
 man/anova.lppm.Rd              |    4 
 man/as.data.frame.lintess.Rd   |    3 
 man/as.linfun.Rd               |    1 
 man/as.linim.Rd                |    1 
 man/as.linnet.linim.Rd         |    1 
 man/as.linnet.psp.Rd           |    1 
 man/as.lpp.Rd                  |    1 
 man/as.owin.lpp.Rd             |    8 -
 man/auc.lpp.Rd                 |    1 
 man/berman.test.lpp.Rd         |    2 
 man/branchlabelfun.Rd          |    2 
 man/bw.lppl.Rd                 |    2 
 man/bw.relrisk.lpp.Rd          |    2 
 man/bw.voronoi.Rd              |    1 
 man/cdf.test.lpp.Rd            |    2 
 man/chop.linnet.Rd             |    1 
 man/clicklpp.Rd                |    1 
 man/connected.linnet.Rd        |    1 
 man/connected.lpp.Rd           |    1 
 man/crossdist.lpp.Rd           |    1 
 man/crossing.linnet.Rd         |    1 
 man/cut.lpp.Rd                 |    1 
 man/data.lppm.Rd               |    1 
 man/density.linnet.Rd          |    1 
 man/density.lpp.Rd             |    1 
 man/densityHeat.lpp.Rd         |    1 
 man/densityQuick.lpp.Rd        |    1 
 man/densityVoronoi.lpp.Rd      |    2 
 man/densityfun.lpp.Rd          |    1 
 man/diameter.linnet.Rd         |    1 
 man/distfun.lpp.Rd             |    1 
 man/distmap.lpp.Rd             |    1 
 man/divide.linnet.Rd           |    2 
 man/domain.lpp.Rd              |    1 
 man/envelope.lpp.Rd            |    4 
 man/eval.linim.Rd              |    1 
 man/fitted.lppm.Rd             |    1 
 man/identify.lpp.Rd            |    1 
 man/integral.linim.Rd          |    1 
 man/intensity.lpp.Rd           |    1 
 man/intersect.lintess.Rd       |    2 
 man/is.connected.linnet.Rd     |    1 
 man/is.marked.lppm.Rd          |    1 
 man/is.multitype.lpp.Rd        |    1 
 man/is.multitype.lppm.Rd       |    1 
 man/is.stationary.lppm.Rd      |    1 
 man/linearJinhom.Rd            |    1 
 man/linearK.Rd                 |    1 
 man/linearKEuclid.Rd           |    3 
 man/linearKEuclidInhom.Rd      |    1 
 man/linearKcross.Rd            |    1 
 man/linearKcross.inhom.Rd      |    1 
 man/linearKdot.Rd              |    1 
 man/linearKdot.inhom.Rd        |    1 
 man/linearKinhom.Rd            |    1 
 man/lineardirichlet.Rd         |    7 -
 man/lineardisc.Rd              |    1 
 man/linearmarkconnect.Rd       |    1 
 man/linearmarkequal.Rd         |    1 
 man/linearpcf.Rd               |    1 
 man/linearpcfEuclid.Rd         |    3 
 man/linearpcfEuclidInhom.Rd    |    1 
 man/linearpcfcross.Rd          |    1 
 man/linearpcfcross.inhom.Rd    |    1 
 man/linearpcfdot.Rd            |    1 
 man/linearpcfdot.inhom.Rd      |    1 
 man/linearpcfinhom.Rd          |    1 
 man/lineartileindex.Rd         |    2 
 man/linequad.Rd                |    1 
 man/linfun.Rd                  |    1 
 man/linim.Rd                   |    1 
 man/linnet.Rd                  |    1 
 man/lintess.Rd                 |    2 
 man/lpp.Rd                     |    1 
 man/lppm.Rd                    |    1 
 man/macros/defns.Rd            |    5 
 man/marks.linnet.Rd            |    1 
 man/marks.lintess.Rd           |    2 
 man/mean.linim.Rd              |    1 
 man/methods.linfun.Rd          |    1 
 man/methods.linim.Rd           |    1 
 man/methods.linnet.Rd          |    1 
 man/methods.lpp.Rd             |    1 
 man/methods.lppm.Rd            |    1 
 man/model.frame.lppm.Rd        |    1 
 man/model.images.lppm.Rd       |    1 
 man/model.matrix.lppm.Rd       |    1 
 man/nncross.lpp.Rd             |    1 
 man/nndist.lpp.Rd              |    1 
 man/nnfun.lpp.Rd               |    1 
 man/nnwhich.lpp.Rd             |    1 
 man/pairdist.lpp.Rd            |    1 
 man/pairs.linim.Rd             |    1 
 man/persp.linfun.Rd            |    2 
 man/persp.linim.Rd             |    1 
 man/plot.linim.Rd              |    6 
 man/plot.linnet.Rd             |    3 
 man/plot.lintess.Rd            |    2 
 man/plot.lpp.Rd                |    1 
 man/plot.lppm.Rd               |    1 
 man/points.lpp.Rd              |    1 
 man/predict.lppm.Rd            |    1 
 man/pseudoR2.lppm.Rd           |    1 
 man/rSwitzerlpp.Rd             |    1 
 man/rThomaslpp.Rd              |    1 
 man/rcelllpp.Rd                |    1 
 man/relrisk.lpp.Rd             |    1 
 man/rhohat.lpp.Rd              |    1 
 man/rjitter.lpp.Rd             |    1 
 man/rlpp.Rd                    |    1 
 man/roc.lpp.Rd                 |    1 
 man/rpoislpp.Rd                |    1 
 man/runiflpp.Rd                |    1 
 man/sdr.lpp.Rd                 |    2 
 man/simulate.lppm.Rd           |    1 
 man/spatstat.linnet-package.Rd |    2 
 man/subset.lpp.Rd              |    1 
 man/superimpose.lpp.Rd         |    1 
 man/text.lpp.Rd                |    1 
 man/tilenames.lintess.Rd       |    2 
 man/unstack.lpp.Rd             |    1 
 tests/testsAtoK.R              |    4 
 136 files changed, 327 insertions(+), 162 deletions(-)

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New package smartsheetr with initial version 0.1.0
Package: smartsheetr
Title: Access and Write 'Smartsheet' Data using the 'Smartsheet' API 2.0
Version: 0.1.0
Description: Interact with the 'Smartsheet' platform through the 'Smartsheet' API 2.0. <https://smartsheet.redoc.ly/>. API is an acronym for application programming interface; the 'Smartsheet' API allows users to interact with 'Smartsheet' sheets directly within R.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, httr, jsonlite, memoise, purrr, rlang, tibble, tidyr
Suggests: devtools, knitr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-10-27 13:20:56 UTC; cjohanson
Author: Cole Johanson [aut, cre, cph]
Maintainer: Cole Johanson <coldenjohanson@gmail.com>
Repository: CRAN
Date/Publication: 2023-10-28 15:00:12 UTC

More information about smartsheetr at CRAN
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Package sits updated to version 1.4.2 with previous version 1.4.1 dated 2023-06-12

Title: Satellite Image Time Series Analysis for Earth Observation Data Cubes
Description: An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, and Digital Earth Africa using the Spatio-temporal Asset Catalog (STAC) protocol (<https://stacspec.org/> and the 'gdalcubes' R package developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>. Provides machine learning methods including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolutional neu [...truncated...]
Author: Rolf Simoes [aut], Gilberto Camara [aut, cre], Felipe Souza [aut], Lorena Santos [aut], Pedro Andrade [aut], Karine Ferreira [aut], Alber Sanchez [aut], Gilberto Queiroz [aut]
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>

Diff between sits versions 1.4.1 dated 2023-06-12 and 1.4.2 dated 2023-10-28

 sits-1.4.1/sits/R/api_expressions.R                                                                     |only
 sits-1.4.1/sits/R/sits_temporal_segmentation.R                                                          |only
 sits-1.4.1/sits/R/sits_values.R                                                                         |only
 sits-1.4.1/sits/inst/extdata/colors_old.yml                                                             |only
 sits-1.4.1/sits/man/dot-check_dates_parameter.Rd                                                        |only
 sits-1.4.1/sits/man/plot.segments.Rd                                                                    |only
 sits-1.4.1/sits/man/sits_join_segments.Rd                                                               |only
 sits-1.4.1/sits/man/sits_supercells.Rd                                                                  |only
 sits-1.4.1/sits/man/sits_values.Rd                                                                      |only
 sits-1.4.1/sits/man/summary.probs_cube.Rd                                                               |only
 sits-1.4.1/sits/man/summary.variance_cube.Rd                                                            |only
 sits-1.4.2/sits/DESCRIPTION                                                                             |   59 
 sits-1.4.2/sits/MD5                                                                                     |  576 +++---
 sits-1.4.2/sits/NAMESPACE                                                                               |  171 +
 sits-1.4.2/sits/NEWS.md                                                                                 |   11 
 sits-1.4.2/sits/R/RcppExports.R                                                                         |   20 
 sits-1.4.2/sits/R/api_accessors.R                                                                       |  195 +-
 sits-1.4.2/sits/R/api_accuracy.R                                                                        |    4 
 sits-1.4.2/sits/R/api_apply.R                                                                           |   83 
 sits-1.4.2/sits/R/api_band.R                                                                            |   82 
 sits-1.4.2/sits/R/api_bbox.R                                                                            |   50 
 sits-1.4.2/sits/R/api_block.R                                                                           |  104 +
 sits-1.4.2/sits/R/api_check.R                                                                           |  919 ++++++----
 sits-1.4.2/sits/R/api_chunks.R                                                                          |   36 
 sits-1.4.2/sits/R/api_classify.R                                                                        |  305 ++-
 sits-1.4.2/sits/R/api_clean.R                                                                           |only
 sits-1.4.2/sits/R/api_cluster.R                                                                         |   38 
 sits-1.4.2/sits/R/api_colors.R                                                                          |  157 +
 sits-1.4.2/sits/R/api_combine_predictions.R                                                             |   71 
 sits-1.4.2/sits/R/api_comp.R                                                                            |    6 
 sits-1.4.2/sits/R/api_conf.R                                                                            |  436 ++--
 sits-1.4.2/sits/R/api_csv.R                                                                             |    9 
 sits-1.4.2/sits/R/api_cube.R                                                                            |  539 +++++
 sits-1.4.2/sits/R/api_data.R                                                                            |  647 ++++---
 sits-1.4.2/sits/R/api_debug.R                                                                           |   20 
 sits-1.4.2/sits/R/api_download.R                                                                        |   56 
 sits-1.4.2/sits/R/api_factory.R                                                                         |    1 
 sits-1.4.2/sits/R/api_file.R                                                                            |  115 +
 sits-1.4.2/sits/R/api_file_info.R                                                                       |  190 +-
 sits-1.4.2/sits/R/api_gdal.R                                                                            |  254 +-
 sits-1.4.2/sits/R/api_gdalcubes.R                                                                       |  178 +
 sits-1.4.2/sits/R/api_jobs.R                                                                            |   94 -
 sits-1.4.2/sits/R/api_label_class.R                                                                     |   77 
 sits-1.4.2/sits/R/api_mixture_model.R                                                                   |  100 -
 sits-1.4.2/sits/R/api_ml_model.R                                                                        |   68 
 sits-1.4.2/sits/R/api_mosaic.R                                                                          |   80 
 sits-1.4.2/sits/R/api_parallel.R                                                                        |    9 
 sits-1.4.2/sits/R/api_period.R                                                                          |   16 
 sits-1.4.2/sits/R/api_plot_raster.R                                                                     |  363 ++-
 sits-1.4.2/sits/R/api_plot_time_series.R                                                                |   41 
 sits-1.4.2/sits/R/api_plot_vector.R                                                                     |only
 sits-1.4.2/sits/R/api_point.R                                                                           |   23 
 sits-1.4.2/sits/R/api_predictors.R                                                                      |   72 
 sits-1.4.2/sits/R/api_raster.R                                                                          |  231 +-
 sits-1.4.2/sits/R/api_raster_sub_image.R                                                                |    5 
 sits-1.4.2/sits/R/api_raster_terra.R                                                                    |  189 +-
 sits-1.4.2/sits/R/api_reclassify.R                                                                      |   38 
 sits-1.4.2/sits/R/api_regularize.R                                                                      |only
 sits-1.4.2/sits/R/api_roi.R                                                                             |   27 
 sits-1.4.2/sits/R/api_s2tile.R                                                                          |only
 sits-1.4.2/sits/R/api_samples.R                                                                         |   90 
 sits-1.4.2/sits/R/api_segments.R                                                                        |  620 ++++--
 sits-1.4.2/sits/R/api_sf.R                                                                              |   23 
 sits-1.4.2/sits/R/api_shp.R                                                                             |    5 
 sits-1.4.2/sits/R/api_smooth.R                                                                          |   52 
 sits-1.4.2/sits/R/api_smote.R                                                                           |   38 
 sits-1.4.2/sits/R/api_som.R                                                                             |    5 
 sits-1.4.2/sits/R/api_source.R                                                                          |   74 
 sits-1.4.2/sits/R/api_source_aws.R                                                                      |   79 
 sits-1.4.2/sits/R/api_source_bdc.R                                                                      |   36 
 sits-1.4.2/sits/R/api_source_deafrica.R                                                                 |   19 
 sits-1.4.2/sits/R/api_source_hls.R                                                                      |   56 
 sits-1.4.2/sits/R/api_source_local.R                                                                    |  444 +++-
 sits-1.4.2/sits/R/api_source_mpc.R                                                                      |  260 ++
 sits-1.4.2/sits/R/api_source_sdc.R                                                                      |   54 
 sits-1.4.2/sits/R/api_source_stac.R                                                                     |  142 +
 sits-1.4.2/sits/R/api_source_usgs.R                                                                     |   69 
 sits-1.4.2/sits/R/api_space_time_operations.R                                                           |   81 
 sits-1.4.2/sits/R/api_stac.R                                                                            |    4 
 sits-1.4.2/sits/R/api_stats.R                                                                           |   22 
 sits-1.4.2/sits/R/api_summary.R                                                                         |   63 
 sits-1.4.2/sits/R/api_tibble.R                                                                          |   21 
 sits-1.4.2/sits/R/api_tile.R                                                                            |  563 +++++-
 sits-1.4.2/sits/R/api_timeline.R                                                                        |   48 
 sits-1.4.2/sits/R/api_torch.R                                                                           |   24 
 sits-1.4.2/sits/R/api_torch_psetae.R                                                                    |    1 
 sits-1.4.2/sits/R/api_ts.R                                                                              |  159 +
 sits-1.4.2/sits/R/api_tuning.R                                                                          |   26 
 sits-1.4.2/sits/R/api_uncertainty.R                                                                     |   63 
 sits-1.4.2/sits/R/api_utils.R                                                                           |  161 +
 sits-1.4.2/sits/R/api_values.R                                                                          |only
 sits-1.4.2/sits/R/api_variance.R                                                                        |   60 
 sits-1.4.2/sits/R/api_vector.R                                                                          |only
 sits-1.4.2/sits/R/api_vector_info.R                                                                     |only
 sits-1.4.2/sits/R/api_view.R                                                                            |  634 +++---
 sits-1.4.2/sits/R/sits_accuracy.R                                                                       |  101 -
 sits-1.4.2/sits/R/sits_active_learning.R                                                                |   83 
 sits-1.4.2/sits/R/sits_apply.R                                                                          |   86 
 sits-1.4.2/sits/R/sits_bands.R                                                                          |   58 
 sits-1.4.2/sits/R/sits_bbox.R                                                                           |   53 
 sits-1.4.2/sits/R/sits_classify.R                                                                       |  343 ++-
 sits-1.4.2/sits/R/sits_cluster.R                                                                        |  148 -
 sits-1.4.2/sits/R/sits_colors.R                                                                         |  256 +-
 sits-1.4.2/sits/R/sits_combine_predictions.R                                                            |   95 -
 sits-1.4.2/sits/R/sits_config.R                                                                         |  103 -
 sits-1.4.2/sits/R/sits_csv.R                                                                            |   55 
 sits-1.4.2/sits/R/sits_cube.R                                                                           |  295 +--
 sits-1.4.2/sits/R/sits_cube_copy.R                                                                      |   95 -
 sits-1.4.2/sits/R/sits_factory.R                                                                        |   33 
 sits-1.4.2/sits/R/sits_filters.R                                                                        |   65 
 sits-1.4.2/sits/R/sits_geo_dist.R                                                                       |   31 
 sits-1.4.2/sits/R/sits_get_data.R                                                                       |  213 --
 sits-1.4.2/sits/R/sits_label_classification.R                                                           |  135 +
 sits-1.4.2/sits/R/sits_labels.R                                                                         |  140 +
 sits-1.4.2/sits/R/sits_lighttae.R                                                                       |   55 
 sits-1.4.2/sits/R/sits_machine_learning.R                                                               |   54 
 sits-1.4.2/sits/R/sits_merge.R                                                                          |   44 
 sits-1.4.2/sits/R/sits_mixture_model.R                                                                  |  134 -
 sits-1.4.2/sits/R/sits_mlp.R                                                                            |   26 
 sits-1.4.2/sits/R/sits_model_export.R                                                                   |    5 
 sits-1.4.2/sits/R/sits_mosaic.R                                                                         |   30 
 sits-1.4.2/sits/R/sits_patterns.R                                                                       |   27 
 sits-1.4.2/sits/R/sits_plot.R                                                                           |  862 +++++----
 sits-1.4.2/sits/R/sits_predictors.R                                                                     |   56 
 sits-1.4.2/sits/R/sits_reclassify.R                                                                     |  234 +-
 sits-1.4.2/sits/R/sits_regularize.R                                                                     |  184 +-
 sits-1.4.2/sits/R/sits_resnet.R                                                                         |    6 
 sits-1.4.2/sits/R/sits_sample_functions.R                                                               |  141 -
 sits-1.4.2/sits/R/sits_segmentation.R                                                                   |  491 ++---
 sits-1.4.2/sits/R/sits_select.R                                                                         |  121 -
 sits-1.4.2/sits/R/sits_sf.R                                                                             |   32 
 sits-1.4.2/sits/R/sits_smooth.R                                                                         |  121 -
 sits-1.4.2/sits/R/sits_som.R                                                                            |   55 
 sits-1.4.2/sits/R/sits_summary.R                                                                        |  345 +--
 sits-1.4.2/sits/R/sits_tae.R                                                                            |   14 
 sits-1.4.2/sits/R/sits_tempcnn.R                                                                        |   18 
 sits-1.4.2/sits/R/sits_timeline.R                                                                       |   50 
 sits-1.4.2/sits/R/sits_train.R                                                                          |   21 
 sits-1.4.2/sits/R/sits_tuning.R                                                                         |   31 
 sits-1.4.2/sits/R/sits_uncertainty.R                                                                    |   93 -
 sits-1.4.2/sits/R/sits_utils.R                                                                          |   25 
 sits-1.4.2/sits/R/sits_validate.R                                                                       |   86 
 sits-1.4.2/sits/R/sits_variance.R                                                                       |  106 -
 sits-1.4.2/sits/R/sits_view.R                                                                           |  244 +-
 sits-1.4.2/sits/R/sits_xlsx.R                                                                           |    1 
 sits-1.4.2/sits/R/zzz.R                                                                                 |    7 
 sits-1.4.2/sits/demo/classify_cbers_bdc.R                                                               |   11 
 sits-1.4.2/sits/demo/classify_deeplearning.R                                                            |   11 
 sits-1.4.2/sits/demo/classify_raster_rfor.R                                                             |   11 
 sits-1.4.2/sits/demo/dl_comparison.R                                                                    |   11 
 sits-1.4.2/sits/demo/evaluate_samples_Kohonen.R                                                         |   11 
 sits-1.4.2/sits/demo/ml_comparison.R                                                                    |   11 
 sits-1.4.2/sits/inst/extdata/colors                                                                     |only
 sits-1.4.2/sits/inst/extdata/config.yml                                                                 |   69 
 sits-1.4.2/sits/inst/extdata/config_colors.yml                                                          |  537 ++++-
 sits-1.4.2/sits/inst/extdata/config_internals.yml                                                       |  197 +-
 sits-1.4.2/sits/inst/extdata/config_user_example.yml                                                    |    6 
 sits-1.4.2/sits/inst/extdata/cran                                                                       |only
 sits-1.4.2/sits/inst/extdata/qgis                                                                       |only
 sits-1.4.2/sits/inst/extdata/raster/prodes/PRODES_LANDSAT_AMZ_2000-08-01_2020-07-31_class_v20220606.tif |binary
 sits-1.4.2/sits/inst/extdata/s2-tiles                                                                   |only
 sits-1.4.2/sits/man/dot-check_date_parameter.Rd                                                         |only
 sits-1.4.2/sits/man/plot.Rd                                                                             |   53 
 sits-1.4.2/sits/man/plot.class_cube.Rd                                                                  |   23 
 sits-1.4.2/sits/man/plot.class_vector_cube.Rd                                                           |only
 sits-1.4.2/sits/man/plot.patterns.Rd                                                                    |    7 
 sits-1.4.2/sits/man/plot.predicted.Rd                                                                   |   11 
 sits-1.4.2/sits/man/plot.probs_cube.Rd                                                                  |    6 
 sits-1.4.2/sits/man/plot.probs_vector_cube.Rd                                                           |only
 sits-1.4.2/sits/man/plot.raster_cube.Rd                                                                 |   27 
 sits-1.4.2/sits/man/plot.rfor_model.Rd                                                                  |    2 
 sits-1.4.2/sits/man/plot.sits_accuracy.Rd                                                               |    5 
 sits-1.4.2/sits/man/plot.sits_cluster.Rd                                                                |   11 
 sits-1.4.2/sits/man/plot.som_map.Rd                                                                     |   12 
 sits-1.4.2/sits/man/plot.uncertainty_cube.Rd                                                            |    4 
 sits-1.4.2/sits/man/plot.variance_cube.Rd                                                               |    6 
 sits-1.4.2/sits/man/plot.vector_cube.Rd                                                                 |only
 sits-1.4.2/sits/man/plot.xgb_model.Rd                                                                   |    3 
 sits-1.4.2/sits/man/print.sits_accuracy.Rd                                                              |    4 
 sits-1.4.2/sits/man/print.sits_area_accuracy.Rd                                                         |    2 
 sits-1.4.2/sits/man/sits_accuracy.Rd                                                                    |   27 
 sits-1.4.2/sits/man/sits_accuracy_summary.Rd                                                            |    4 
 sits-1.4.2/sits/man/sits_apply.Rd                                                                       |   61 
 sits-1.4.2/sits/man/sits_as_sf.Rd                                                                       |   20 
 sits-1.4.2/sits/man/sits_bands.Rd                                                                       |   35 
 sits-1.4.2/sits/man/sits_bbox.Rd                                                                        |   29 
 sits-1.4.2/sits/man/sits_classify.Rd                                                                    |  181 +
 sits-1.4.2/sits/man/sits_cluster_clean.Rd                                                               |   11 
 sits-1.4.2/sits/man/sits_cluster_dendro.Rd                                                              |   63 
 sits-1.4.2/sits/man/sits_cluster_frequency.Rd                                                           |    2 
 sits-1.4.2/sits/man/sits_colors.Rd                                                                      |    7 
 sits-1.4.2/sits/man/sits_colors_qgis.Rd                                                                 |only
 sits-1.4.2/sits/man/sits_colors_set.Rd                                                                  |   32 
 sits-1.4.2/sits/man/sits_colors_show.Rd                                                                 |    7 
 sits-1.4.2/sits/man/sits_combine_predictions.Rd                                                         |   61 
 sits-1.4.2/sits/man/sits_confidence_sampling.Rd                                                         |   23 
 sits-1.4.2/sits/man/sits_config.Rd                                                                      |   36 
 sits-1.4.2/sits/man/sits_config_show.Rd                                                                 |   16 
 sits-1.4.2/sits/man/sits_cube.Rd                                                                        |  220 +-
 sits-1.4.2/sits/man/sits_cube_copy.Rd                                                                   |   69 
 sits-1.4.2/sits/man/sits_factory_function.Rd                                                            |   33 
 sits-1.4.2/sits/man/sits_filter.Rd                                                                      |   20 
 sits-1.4.2/sits/man/sits_formula_linear.Rd                                                              |    3 
 sits-1.4.2/sits/man/sits_formula_logref.Rd                                                              |    3 
 sits-1.4.2/sits/man/sits_geo_dist.Rd                                                                    |   20 
 sits-1.4.2/sits/man/sits_get_data.Rd                                                                    |  135 -
 sits-1.4.2/sits/man/sits_kfold_validate.Rd                                                              |   19 
 sits-1.4.2/sits/man/sits_label_classification.Rd                                                        |   44 
 sits-1.4.2/sits/man/sits_labels.Rd                                                                      |   54 
 sits-1.4.2/sits/man/sits_labels_summary.Rd                                                              |    2 
 sits-1.4.2/sits/man/sits_lighttae.Rd                                                                    |   44 
 sits-1.4.2/sits/man/sits_list_collections.Rd                                                            |    6 
 sits-1.4.2/sits/man/sits_merge.Rd                                                                       |   17 
 sits-1.4.2/sits/man/sits_mixture_model.Rd                                                               |   93 -
 sits-1.4.2/sits/man/sits_mlp.Rd                                                                         |   32 
 sits-1.4.2/sits/man/sits_model_export.Rd                                                                |    4 
 sits-1.4.2/sits/man/sits_mosaic.Rd                                                                      |   21 
 sits-1.4.2/sits/man/sits_patterns.Rd                                                                    |    8 
 sits-1.4.2/sits/man/sits_pred_features.Rd                                                               |    7 
 sits-1.4.2/sits/man/sits_pred_normalize.Rd                                                              |   13 
 sits-1.4.2/sits/man/sits_pred_reference.Rd                                                              |   12 
 sits-1.4.2/sits/man/sits_pred_sample.Rd                                                                 |    8 
 sits-1.4.2/sits/man/sits_predictors.Rd                                                                  |   10 
 sits-1.4.2/sits/man/sits_reclassify.Rd                                                                  |  177 +
 sits-1.4.2/sits/man/sits_reduce_imbalance.Rd                                                            |    4 
 sits-1.4.2/sits/man/sits_regularize.Rd                                                                  |  110 -
 sits-1.4.2/sits/man/sits_resnet.Rd                                                                      |    5 
 sits-1.4.2/sits/man/sits_rfor.Rd                                                                        |   17 
 sits-1.4.2/sits/man/sits_run_examples.Rd                                                                |   10 
 sits-1.4.2/sits/man/sits_run_tests.Rd                                                                   |    9 
 sits-1.4.2/sits/man/sits_sample.Rd                                                                      |   30 
 sits-1.4.2/sits/man/sits_segment.Rd                                                                     |  136 -
 sits-1.4.2/sits/man/sits_select.Rd                                                                      |   30 
 sits-1.4.2/sits/man/sits_sgolay.Rd                                                                      |   20 
 sits-1.4.2/sits/man/sits_show_prediction.Rd                                                             |    4 
 sits-1.4.2/sits/man/sits_slic.Rd                                                                        |only
 sits-1.4.2/sits/man/sits_smooth.Rd                                                                      |  105 -
 sits-1.4.2/sits/man/sits_som.Rd                                                                         |    4 
 sits-1.4.2/sits/man/sits_som_clean_samples.Rd                                                           |    3 
 sits-1.4.2/sits/man/sits_stats.Rd                                                                       |    2 
 sits-1.4.2/sits/man/sits_tae.Rd                                                                         |    7 
 sits-1.4.2/sits/man/sits_tempcnn.Rd                                                                     |    9 
 sits-1.4.2/sits/man/sits_timeline.Rd                                                                    |   23 
 sits-1.4.2/sits/man/sits_to_csv.Rd                                                                      |   16 
 sits-1.4.2/sits/man/sits_train.Rd                                                                       |   16 
 sits-1.4.2/sits/man/sits_tuning.Rd                                                                      |   19 
 sits-1.4.2/sits/man/sits_tuning_hparams.Rd                                                              |    4 
 sits-1.4.2/sits/man/sits_uncertainty.Rd                                                                 |    7 
 sits-1.4.2/sits/man/sits_uncertainty_sampling.Rd                                                        |   31 
 sits-1.4.2/sits/man/sits_validate.Rd                                                                    |   25 
 sits-1.4.2/sits/man/sits_variance.Rd                                                                    |   79 
 sits-1.4.2/sits/man/sits_view.Rd                                                                        |  121 -
 sits-1.4.2/sits/man/sits_whittaker.Rd                                                                   |   19 
 sits-1.4.2/sits/man/summary.class_cube.Rd                                                               |   19 
 sits-1.4.2/sits/man/summary.raster_cube.Rd                                                              |   21 
 sits-1.4.2/sits/man/summary.sits.Rd                                                                     |    8 
 sits-1.4.2/sits/man/summary.sits_accuracy.Rd                                                            |   14 
 sits-1.4.2/sits/man/summary.sits_area_accuracy.Rd                                                       |    7 
 sits-1.4.2/sits/man/tick-sits_labels-set-tick.Rd                                                        |   12 
 sits-1.4.2/sits/src/RcppExports.cpp                                                                     |   71 
 sits-1.4.2/sits/src/kernel.cpp                                                                          |   33 
 sits-1.4.2/sits/src/sample_points.cpp                                                                   |only
 sits-1.4.2/sits/tests/testthat/Rplots.pdf                                                               |only
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 sits-1.4.2/sits/tests/testthat/test-active_learning.R                                                   |    9 
 sits-1.4.2/sits/tests/testthat/test-api_block.R                                                         |    4 
 sits-1.4.2/sits/tests/testthat/test-api_point.R                                                         |    4 
 sits-1.4.2/sits/tests/testthat/test-apply.R                                                             |   47 
 sits-1.4.2/sits/tests/testthat/test-bands.R                                                             |only
 sits-1.4.2/sits/tests/testthat/test-check.R                                                             |   30 
 sits-1.4.2/sits/tests/testthat/test-classification.R                                                    |    7 
 sits-1.4.2/sits/tests/testthat/test-clustering.R                                                        |   16 
 sits-1.4.2/sits/tests/testthat/test-color.R                                                             |   55 
 sits-1.4.2/sits/tests/testthat/test-combine_predictions.R                                               |   21 
 sits-1.4.2/sits/tests/testthat/test-config.R                                                            |   51 
 sits-1.4.2/sits/tests/testthat/test-cube.R                                                              |  823 ++++++--
 sits-1.4.2/sits/tests/testthat/test-cube_copy.R                                                         |  106 -
 sits-1.4.2/sits/tests/testthat/test-data.R                                                              |  331 +--
 sits-1.4.2/sits/tests/testthat/test-debug.R                                                             |only
 sits-1.4.2/sits/tests/testthat/test-factory.R                                                           |   23 
 sits-1.4.2/sits/tests/testthat/test-file_info.R                                                         |   35 
 sits-1.4.2/sits/tests/testthat/test-internals.R                                                         |    1 
 sits-1.4.2/sits/tests/testthat/test-labels.R                                                            |   21 
 sits-1.4.2/sits/tests/testthat/test-mixture_model.R                                                     |   56 
 sits-1.4.2/sits/tests/testthat/test-ml.R                                                                |   21 
 sits-1.4.2/sits/tests/testthat/test-mosaic.R                                                            |   13 
 sits-1.4.2/sits/tests/testthat/test-parallel.R                                                          |    3 
 sits-1.4.2/sits/tests/testthat/test-plot.R                                                              |   55 
 sits-1.4.2/sits/tests/testthat/test-predictors.R                                                        |    8 
 sits-1.4.2/sits/tests/testthat/test-raster.R                                                            |  145 +
 sits-1.4.2/sits/tests/testthat/test-reclassify.R                                                        |  104 -
 sits-1.4.2/sits/tests/testthat/test-regularize.R                                                        |  203 +-
 sits-1.4.2/sits/tests/testthat/test-roi.R                                                               |   54 
 sits-1.4.2/sits/tests/testthat/test-samples.R                                                           |    4 
 sits-1.4.2/sits/tests/testthat/test-segmentation.R                                                      |   94 -
 sits-1.4.2/sits/tests/testthat/test-sf.R                                                                |only
 sits-1.4.2/sits/tests/testthat/test-som.R                                                               |    2 
 sits-1.4.2/sits/tests/testthat/test-space-time-operations.R                                             |   25 
 sits-1.4.2/sits/tests/testthat/test-summary.R                                                           |   48 
 sits-1.4.2/sits/tests/testthat/test-tibble.R                                                            |   35 
 sits-1.4.2/sits/tests/testthat/test-tuning.R                                                            |    6 
 sits-1.4.2/sits/tests/testthat/test-uncertainty.R                                                       |   29 
 sits-1.4.2/sits/tests/testthat/test-utils.R                                                             |only
 sits-1.4.2/sits/tests/testthat/test-variance.R                                                          |   23 
 sits-1.4.2/sits/tests/testthat/test-view.R                                                              |  142 +
 305 files changed, 14996 insertions(+), 8412 deletions(-)

More information about sits at CRAN
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New package selenium with initial version 0.1.2
Package: selenium
Title: Low-Level Browser Automation Interface
Version: 0.1.2
Description: An implementation of 'W3C WebDriver 2.0' (<https://w3c.github.io/webdriver/>), allowing interaction with a 'Selenium Server' (<https://www.selenium.dev/documentation/grid/>) instance from 'R'. Allows a web browser to be automated from 'R'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0), withr, xml2
Imports: httr2, jsonlite, lifecycle, processx, R6, rappdirs, rlang (>= 1.1.0)
URL: https://ashbythorpe.github.io/selenium-r/, https://github.com/ashbythorpe/selenium-r
BugReports: https://github.com/ashbythorpe/selenium-r/issues
Language: en-GB
NeedsCompilation: no
Packaged: 2023-10-27 14:58:48 UTC; ashbythorpe
Author: Ashby Thorpe [aut, cre, cph]
Maintainer: Ashby Thorpe <ashbythorpe@gmail.com>
Repository: CRAN
Date/Publication: 2023-10-28 15:00:15 UTC

More information about selenium at CRAN
Permanent link

Package ragt2ridges (with last version 0.3.4) was removed from CRAN

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

2020-01-28 0.3.4
2019-12-05 0.3.3
2018-12-20 0.3.2
2017-11-21 0.3.1
2017-11-10 0.3.0
2017-04-04 0.2.4
2016-10-12 0.2.3
2016-09-24 0.2.2
2016-08-26 0.2.1
2016-05-24 0.2.0
2016-05-10 0.1.9

Permanent link
Package MazamaCoreUtils updated to version 0.5.0 with previous version 0.4.16 dated 2023-08-29

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaCoreUtils versions 0.4.16 dated 2023-08-29 and 0.5.0 dated 2023-10-28

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 MazamaCoreUtils-0.5.0/MazamaCoreUtils/DESCRIPTION                             |   12 
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 MazamaCoreUtils-0.5.0/MazamaCoreUtils/NEWS.md                                 |   19 
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 MazamaCoreUtils-0.5.0/MazamaCoreUtils/tests/testthat/test-createLocationID.R  |   75 ++-
 MazamaCoreUtils-0.5.0/MazamaCoreUtils/tests/testthat/test-initializeLogging.R |   28 +
 MazamaCoreUtils-0.5.0/MazamaCoreUtils/tests/testthat/test-locationUtils.R     |   61 +-
 MazamaCoreUtils-0.5.0/MazamaCoreUtils/tests/testthat/test-timeStamp.R         |   12 
 MazamaCoreUtils-0.5.0/MazamaCoreUtils/vignettes/cache-management.Rmd          |    8 
 MazamaCoreUtils-0.5.0/MazamaCoreUtils/vignettes/date-parsing.Rmd              |    2 
 41 files changed, 644 insertions(+), 597 deletions(-)

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Package ichimoku updated to version 1.4.10 with previous version 1.4.9 dated 2023-09-03

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between ichimoku versions 1.4.9 dated 2023-09-03 and 1.4.10 dated 2023-10-28

 DESCRIPTION             |    6 ++---
 MD5                     |   42 +++++++++++++++++++-------------------
 NEWS.md                 |    4 +++
 R/data.R                |   12 +++++------
 R/ichimoku-package.R    |   52 ++++++++++++++++++++++++------------------------
 R/ichimoku.R            |   36 ++++++++++++++++-----------------
 R/oanda.R               |   24 +++++++++++-----------
 R/strat.R               |   32 ++++++++++++++---------------
 R/switch.R              |   11 +++++-----
 README.md               |    3 +-
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 inst/doc/xoanda.R       |    2 -
 man/ichimoku-package.Rd |   52 ++++++++++++++++++++++++------------------------
 man/ichimoku.Rd         |   36 ++++++++++++++++-----------------
 man/oanda_stream.Rd     |   24 +++++++++++-----------
 man/sample_ohlc_data.Rd |   12 +++++------
 man/strat.Rd            |   32 ++++++++++++++---------------
 vignettes/reference.Rmd |    2 -
 22 files changed, 200 insertions(+), 194 deletions(-)

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Package BoutrosLab.plotting.general updated to version 7.1.0 with previous version 7.0.10 dated 2023-10-24

Title: Functions to Create Publication-Quality Plots
Description: Contains several plotting functions such as barplots, scatterplots, heatmaps, as well as functions to combine plots and assist in the creation of these plots. These functions will give users great ease of use and customization options in broad use for biomedical applications, as well as general purpose plotting. Each of the functions also provides valid default settings to make plotting data more efficient and producing high quality plots with standard colour schemes simpler. All functions within this package are capable of producing plots that are of the quality to be presented in scientific publications and journals. P'ng et al.; BPG: Seamless, automated and interactive visualization of scientific data; BMC Bioinformatics 2019 <doi:10.1186/s12859-019-2610-2>.
Author: Paul Boutros [aut, cre], Christine P'ng [ctb], Jeff Green [ctb], Stephenie Prokopec [ctb], Ontario Institute for Cancer Research [cph], The R Core Team [cph], The R Foundation [cph], Robert Gentleman [ctb], Ross Ihaka [ctb], Caden Bugh [ctb], Dan Kni [...truncated...]
Maintainer: Paul Boutros <PBoutros@mednet.ucla.edu>

Diff between BoutrosLab.plotting.general versions 7.0.10 dated 2023-10-24 and 7.1.0 dated 2023-10-28

 DESCRIPTION                 |   19 +-
 MD5                         |   35 ++-
 NEWS                        |   12 +
 R/auto.axis.R               |  410 ++++++++++++++++++++++----------------------
 R/create.boxplot.R          |   62 ++----
 R/create.hexbinplot.R       |   62 ++----
 R/create.manhattanplot.R    |   60 ++----
 R/create.scatterplot.R      |   62 ++----
 inst/doc/PlottingGuide.Rnw  |  197 +++++++++++++++++----
 inst/doc/PlottingGuide.pdf  |binary
 man/auto.axis.Rd            |   26 +-
 man/create.barplot.Rd       |   26 ++
 man/create.boxplot.Rd       |   26 ++
 man/create.hexbinplot.Rd    |   26 ++
 man/create.manhattanplot.Rd |   26 ++
 man/create.scatterplot.Rd   |   52 +----
 tests/testthat              |only
 tests/testthat.R            |only
 vignettes/PlottingGuide.Rnw |  197 +++++++++++++++++----
 19 files changed, 776 insertions(+), 522 deletions(-)

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Package aldvmm updated to version 0.8.8 with previous version 0.8.7 dated 2023-07-08

Title: Adjusted Limited Dependent Variable Mixture Models
Description: The goal of the package 'aldvmm' is to fit adjusted limited dependent variable mixture models of health state utilities. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package 'aldvmm' uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using normal component distributions and a multinomial logit model of probabilities of component membership.
Author: Mark Pletscher [aut, cre, cph], Achim Zeileis [ctb]
Maintainer: Mark Pletscher <pletscher.mark@gmail.com>

Diff between aldvmm versions 0.8.7 dated 2023-07-08 and 0.8.8 dated 2023-10-28

 DESCRIPTION                        |   10 +-
 MD5                                |   80 ++++++++---------
 NAMESPACE                          |    2 
 NEWS.md                            |    5 -
 R/aldvmm.R                         |   39 ++++----
 R/aldvmm.init.R                    |   22 +++-
 R/aldvmm.ll.R                      |    2 
 inst/doc/html_vignette.R           |   22 ++--
 inst/doc/html_vignette.Rmd         |   32 +++---
 inst/doc/html_vignette.html        |  172 ++++++++++++++++++-------------------
 man/aldvmm.Rd                      |   23 ++--
 man/aldvmm.check.Rd                |    6 -
 man/aldvmm.cv.Rd                   |    2 
 man/aldvmm.gr.Rd                   |    2 
 man/aldvmm.init.Rd                 |   13 +-
 man/aldvmm.ll.Rd                   |    4 
 man/aldvmm.sc.Rd                   |    2 
 tests/testthat/test.aldvmm.R       |   20 ++--
 tests/testthat/test.aldvmm.init.R  |   96 ++++++++++++++------
 vignettes/df.RData                 |binary
 vignettes/html_vignette.Rmd        |   32 +++---
 vignettes/plot_box_se.png          |binary
 vignettes/plot_box_yhat.png        |binary
 vignettes/plot_comp_mhl_bfgs.png   |binary
 vignettes/plot_comp_mhl_hjn.png    |binary
 vignettes/plot_comp_mhl_nlminb.png |binary
 vignettes/plot_comp_mhl_nm.png     |binary
 vignettes/plot_comp_pred.png       |binary
 vignettes/plot_hist_obs.png        |binary
 vignettes/plot_hist_pred.png       |binary
 vignettes/tab_comp_coef.RData      |binary
 vignettes/tab_comp_cov.RData       |binary
 vignettes/tab_comp_ll.RData        |binary
 vignettes/tab_comp_mae.RData       |binary
 vignettes/tab_comp_mse.RData       |binary
 vignettes/tab_comp_time.RData      |binary
 vignettes/tab_sum_stata1.RData     |binary
 vignettes/tab_sum_stata2.RData     |binary
 vignettes/tab_sum_stata3.RData     |binary
 vignettes/tab_sum_stata4.RData     |binary
 vignettes/textout.RData            |binary
 41 files changed, 325 insertions(+), 261 deletions(-)

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