Mon, 15 Jul 2024

Package PAICE updated to version 1.0.2 with previous version 1.0.1 dated 2023-11-13

Title: Phylogeographic Analysis of Island Colonization Events
Description: Estimation of the number of colonization events between islands of the same archipelago for a species. It uses rarefaction curves to control for both field and genetic sample sizes as it was described in Coello et al. (2022) <doi:10.1111/jbi.14341>.
Author: Alberto J. Coello [aut, cre] , Mario Fernandez-Mazuecos [aut] , Ruben H. Heleno [aut] , Pablo Vargas [aut]
Maintainer: Alberto J. Coello <albjcoello@gmail.com>

Diff between PAICE versions 1.0.1 dated 2023-11-13 and 1.0.2 dated 2024-07-15

 PAICE-1.0.1/PAICE/R/PAICE.R               |only
 PAICE-1.0.2/PAICE/DESCRIPTION             |   10 +++++-----
 PAICE-1.0.2/PAICE/MD5                     |   16 ++++++++--------
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 PAICE-1.0.2/PAICE/R/print.colonization.R  |    2 +-
 PAICE-1.0.2/PAICE/R/print.maxCol.R        |    4 ++--
 PAICE-1.0.2/PAICE/R/zzz.R                 |    2 +-
 PAICE-1.0.2/PAICE/data/CmonsData.RData    |binary
 PAICE-1.0.2/PAICE/data/CmonsNetwork.RData |binary
 PAICE-1.0.2/PAICE/data/CmonsRare.RData    |binary
 10 files changed, 17 insertions(+), 17 deletions(-)

More information about PAICE at CRAN
Permanent link

Package spatstat.random updated to version 3.3-1 with previous version 3.2-3 dated 2024-02-29

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.random versions 3.2-3 dated 2024-02-29 and 3.3-1 dated 2024-07-15

 spatstat.random-3.2-3/spatstat.random/R/indefinteg.R                  |only
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 spatstat.random-3.3-1/spatstat.random/NAMESPACE                       |    3 
 spatstat.random-3.3-1/spatstat.random/NEWS                            |   37 +++
 spatstat.random-3.3-1/spatstat.random/R/clusterinfo.R                 |    6 
 spatstat.random-3.3-1/spatstat.random/R/rPerfect.R                    |   38 +--
 spatstat.random-3.3-1/spatstat.random/R/rags.R                        |    4 
 spatstat.random-3.3-1/spatstat.random/R/random.R                      |    4 
 spatstat.random-3.3-1/spatstat.random/R/randomNS.R                    |    6 
 spatstat.random-3.3-1/spatstat.random/R/randomcircembed.R             |    8 
 spatstat.random-3.3-1/spatstat.random/R/rcauchy.R                     |   10 
 spatstat.random-3.3-1/spatstat.random/R/rmatclust.R                   |   14 -
 spatstat.random-3.3-1/spatstat.random/R/rmhmodel.R                    |  110 ++++-----
 spatstat.random-3.3-1/spatstat.random/R/rthomas.R                     |   10 
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 spatstat.random-3.3-1/spatstat.random/man/rnoise.Rd                   |   10 
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 spatstat.random-3.3-1/spatstat.random/man/spatstat.random-internal.Rd |    1 
 spatstat.random-3.3-1/spatstat.random/src/Perfect.cc                  |    5 
 60 files changed, 359 insertions(+), 345 deletions(-)

More information about spatstat.random at CRAN
Permanent link

Package spatstat.model updated to version 3.3-1 with previous version 3.2-11 dated 2024-03-22

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.model versions 3.2-11 dated 2024-03-22 and 3.3-1 dated 2024-07-15

 DESCRIPTION                    |   19 +--
 MD5                            |  251 ++++++++++++++++++++---------------------
 NAMESPACE                      |    5 
 NEWS                           |   45 +++++++
 R/evidence.R                   |    4 
 R/logistic.R                   |   11 +
 R/measures.R                   |    6 
 R/mpl.R                        |   13 +-
 R/ppm.R                        |    7 -
 R/predict.ppm.R                |   56 +++------
 R/response.R                   |    2 
 R/slrm.R                       |   28 +++-
 R/sysdata.rda                  |binary
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 man/fitted.slrm.Rd             |   36 +++++
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 man/is.multitype.ppm.Rd        |    4 
 man/is.stationary.ppm.Rd       |   10 -
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 man/vcov.ppm.Rd                |    2 
 tests/testsP2.R                |    9 +
 127 files changed, 759 insertions(+), 637 deletions(-)

More information about spatstat.model at CRAN
Permanent link

Package spatstat.linnet updated to version 3.2-1 with previous version 3.1-5 dated 2024-03-25

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 3.1-5 dated 2024-03-25 and 3.2-1 dated 2024-07-15

 DESCRIPTION                       |   18 +--
 MD5                               |  179 ++++++++++++++++-----------------
 NAMESPACE                         |   18 +++
 NEWS                              |   36 ++++++
 R/density.lpp.R                   |    2 
 R/densityfunlpp.R                 |    4 
 R/evaluateNetCovariate.R          |only
 R/evidencelppm.R                  |  206 +++++++++++++++++++++++++++++++++++++-
 R/exactlppm.R                     |only
 R/linnet.R                        |   10 +
 R/linnetsurgery.R                 |   82 +++++++++------
 R/lpp.R                           |    5 
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 man/as.linim.Rd                   |    8 -
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 man/plot.linnet.Rd                |    4 
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 man/points.lpp.Rd                 |    2 
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 man/spatstat.linnet-deprecated.Rd |    1 
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 man/thinNetwork.Rd                |    9 +
 tests/testsL.R                    |    9 +
 92 files changed, 692 insertions(+), 362 deletions(-)

More information about spatstat.linnet at CRAN
Permanent link

Package spatstat.geom updated to version 3.3-2 with previous version 3.2-9 dated 2024-02-28

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oehlschlaegel [ctb, cph], Suman Rakshit [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 3.2-9 dated 2024-02-28 and 3.3-2 dated 2024-07-15

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 spatstat.geom-3.2-9/spatstat.geom/src/hotrod.c                    |only
 spatstat.geom-3.2-9/spatstat.geom/src/tabnum.c                    |only
 spatstat.geom-3.2-9/spatstat.geom/src/whist.c                     |only
 spatstat.geom-3.3-2/spatstat.geom/DESCRIPTION                     |   14 
 spatstat.geom-3.3-2/spatstat.geom/MD5                             |  203 +--
 spatstat.geom-3.3-2/spatstat.geom/NAMESPACE                       |   56 
 spatstat.geom-3.3-2/spatstat.geom/NEWS                            |  143 ++
 spatstat.geom-3.3-2/spatstat.geom/R/affine.R                      |    9 
 spatstat.geom-3.3-2/spatstat.geom/R/colourtables.R                |   28 
 spatstat.geom-3.3-2/spatstat.geom/R/diagram.R                     |   32 
 spatstat.geom-3.3-2/spatstat.geom/R/plot.owin.R                   |   21 
 spatstat.geom-3.3-2/spatstat.geom/R/plot.ppp.R                    |  622 +++++-----
 spatstat.geom-3.3-2/spatstat.geom/R/ppp.R                         |   18 
 spatstat.geom-3.3-2/spatstat.geom/R/ppx.R                         |    4 
 spatstat.geom-3.3-2/spatstat.geom/R/psp.R                         |   38 
 spatstat.geom-3.3-2/spatstat.geom/R/randombasic.R                 |    6 
 spatstat.geom-3.3-2/spatstat.geom/R/round.R                       |   30 
 spatstat.geom-3.3-2/spatstat.geom/R/simplepanel.R                 |   22 
 spatstat.geom-3.3-2/spatstat.geom/R/solist.R                      |    8 
 spatstat.geom-3.3-2/spatstat.geom/R/symbolmap.R                   |  112 +
 spatstat.geom-3.3-2/spatstat.geom/R/tess.R                        |    4 
 spatstat.geom-3.3-2/spatstat.geom/R/unique.ppp.R                  |   22 
 spatstat.geom-3.3-2/spatstat.geom/R/uniquemap.ppp.R               |only
 spatstat.geom-3.3-2/spatstat.geom/inst/doc/packagesizes.txt       |    2 
 spatstat.geom-3.3-2/spatstat.geom/inst/info                       |only
 spatstat.geom-3.3-2/spatstat.geom/man/Window.tess.Rd              |   12 
 spatstat.geom-3.3-2/spatstat.geom/man/affine.im.Rd                |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/affine.owin.Rd              |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/as.im.Rd                    |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/as.matrix.owin.Rd           |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/as.polygonal.Rd             |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/bdist.pixels.Rd             |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/boundingcircle.Rd           |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/bufftess.Rd                 |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/closing.Rd                  |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/commonGrid.Rd               |    6 
 spatstat.geom-3.3-2/spatstat.geom/man/connected.Rd                |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/connected.tess.Rd           |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/covering.Rd                 |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/default.symbolmap.Rd        |only
 spatstat.geom-3.3-2/spatstat.geom/man/default.symbolmap.ppp.Rd    |only
 spatstat.geom-3.3-2/spatstat.geom/man/deltametric.Rd              |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/dilation.Rd                 |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/disc.Rd                     |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/discretise.Rd               |    8 
 spatstat.geom-3.3-2/spatstat.geom/man/discs.Rd                    |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/distmap.Rd                  |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/distmap.owin.Rd             |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/distmap.ppp.Rd              |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/distmap.psp.Rd              |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/domain.Rd                   |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/ellipse.Rd                  |    6 
 spatstat.geom-3.3-2/spatstat.geom/man/erosion.Rd                  |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/fardist.Rd                  |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/framedist.pixels.Rd         |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/gridweights.Rd              |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/integral.im.Rd              |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/intensity.quadratcount.Rd   |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/intersect.owin.Rd           |    6 
 spatstat.geom-3.3-2/spatstat.geom/man/intersect.tess.Rd           |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/is.subset.owin.Rd           |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/layout.boxes.Rd             |   24 
 spatstat.geom-3.3-2/spatstat.geom/man/nearest.raster.point.Rd     |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/nnmap.Rd                    |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/nnmark.Rd                   |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/opening.Rd                  |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/owin.object.Rd              |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/owin2mask.Rd                |   10 
 spatstat.geom-3.3-2/spatstat.geom/man/pixelcentres.Rd             |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/pixellate.owin.Rd           |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/pixellate.ppp.Rd            |    6 
 spatstat.geom-3.3-2/spatstat.geom/man/pixellate.psp.Rd            |    8 
 spatstat.geom-3.3-2/spatstat.geom/man/pixelquad.Rd                |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/plot.colourmap.Rd           |   20 
 spatstat.geom-3.3-2/spatstat.geom/man/plot.owin.Rd                |   10 
 spatstat.geom-3.3-2/spatstat.geom/man/plot.ppp.Rd                 |   17 
 spatstat.geom-3.3-2/spatstat.geom/man/plot.tess.Rd                |   14 
 spatstat.geom-3.3-2/spatstat.geom/man/plot.texturemap.Rd          |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/project2set.Rd              |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/psp2mask.Rd                 |    8 
 spatstat.geom-3.3-2/spatstat.geom/man/quantilefun.im.Rd           |    7 
 spatstat.geom-3.3-2/spatstat.geom/man/raster.x.Rd                 |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/rotate.owin.Rd              |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/round.ppp.Rd                |    5 
 spatstat.geom-3.3-2/spatstat.geom/man/rounding.ppp.Rd             |only
 spatstat.geom-3.3-2/spatstat.geom/man/setcov.Rd                   |    2 
 spatstat.geom-3.3-2/spatstat.geom/man/spatstat.geom-deprecated.Rd |    1 
 spatstat.geom-3.3-2/spatstat.geom/man/spatstat.geom-internal.Rd   |   69 -
 spatstat.geom-3.3-2/spatstat.geom/man/spatstat.geom-package.Rd    |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/summary.distfun.Rd          |    4 
 spatstat.geom-3.3-2/spatstat.geom/man/uniquemap.ppp.Rd            |    9 
 spatstat.geom-3.3-2/spatstat.geom/src/init.c                      |    4 
 spatstat.geom-3.3-2/spatstat.geom/src/proto.h                     |    4 
 spatstat.geom-3.3-2/spatstat.geom/tests/testsD.R                  |   23 
 spatstat.geom-3.3-2/spatstat.geom/tests/testsS.R                  |   13 
 spatstat.geom-3.3-2/spatstat.geom/tests/testsUtoZ.R               |   25 
 117 files changed, 1048 insertions(+), 785 deletions(-)

More information about spatstat.geom at CRAN
Permanent link

Package spatstat.explore updated to version 3.3-1 with previous version 3.2-7 dated 2024-03-21

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.explore versions 3.2-7 dated 2024-03-21 and 3.3-1 dated 2024-07-15

 spatstat.explore-3.2-7/spatstat.explore/R/bw.abram.R                          |only
 spatstat.explore-3.2-7/spatstat.explore/R/densityAdaptiveKernel.R             |only
 spatstat.explore-3.2-7/spatstat.explore/R/kernels.R                           |only
 spatstat.explore-3.2-7/spatstat.explore/R/kmrs.R                              |only
 spatstat.explore-3.2-7/spatstat.explore/R/quantiledensity.R                   |only
 spatstat.explore-3.2-7/spatstat.explore/R/stieltjes.R                         |only
 spatstat.explore-3.2-7/spatstat.explore/man/CDF.Rd                            |only
 spatstat.explore-3.2-7/spatstat.explore/man/bw.abram.Rd                       |only
 spatstat.explore-3.2-7/spatstat.explore/man/densityAdaptiveKernel.Rd          |only
 spatstat.explore-3.2-7/spatstat.explore/man/dkernel.Rd                        |only
 spatstat.explore-3.2-7/spatstat.explore/man/kaplan.meier.Rd                   |only
 spatstat.explore-3.2-7/spatstat.explore/man/kernel.factor.Rd                  |only
 spatstat.explore-3.2-7/spatstat.explore/man/kernel.moment.Rd                  |only
 spatstat.explore-3.2-7/spatstat.explore/man/kernel.squint.Rd                  |only
 spatstat.explore-3.2-7/spatstat.explore/man/km.rs.Rd                          |only
 spatstat.explore-3.2-7/spatstat.explore/man/quantile.density.Rd               |only
 spatstat.explore-3.2-7/spatstat.explore/man/reduced.sample.Rd                 |only
 spatstat.explore-3.2-7/spatstat.explore/man/stieltjes.Rd                      |only
 spatstat.explore-3.3-1/spatstat.explore/DESCRIPTION                           |   20 
 spatstat.explore-3.3-1/spatstat.explore/MD5                                   |  280 ++++------
 spatstat.explore-3.3-1/spatstat.explore/NAMESPACE                             |   26 
 spatstat.explore-3.3-1/spatstat.explore/NEWS                                  |   62 ++
 spatstat.explore-3.3-1/spatstat.explore/R/Kinhom.R                            |    6 
 spatstat.explore-3.3-1/spatstat.explore/R/bw.abram.ppp.R                      |only
 spatstat.explore-3.3-1/spatstat.explore/R/bw.ppl.R                            |    5 
 spatstat.explore-3.3-1/spatstat.explore/R/densityAdaptiveKernel.ppp.R         |only
 spatstat.explore-3.3-1/spatstat.explore/R/edgeTrans.R                         |    6 
 spatstat.explore-3.3-1/spatstat.explore/R/evidence.R                          |   31 -
 spatstat.explore-3.3-1/spatstat.explore/R/fv.R                                |   39 +
 spatstat.explore-3.3-1/spatstat.explore/R/smooth.ppp.R                        |    5 
 spatstat.explore-3.3-1/spatstat.explore/R/spatialQuantile.R                   |    2 
 spatstat.explore-3.3-1/spatstat.explore/R/sysdata.rda                         |binary
 spatstat.explore-3.3-1/spatstat.explore/inst/doc/packagesizes.txt             |    1 
 spatstat.explore-3.3-1/spatstat.explore/inst/info                             |only
 spatstat.explore-3.3-1/spatstat.explore/man/Emark.Rd                          |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/F3est.Rd                          |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/Fest.Rd                           |   14 
 spatstat.explore-3.3-1/spatstat.explore/man/Finhom.Rd                         |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/FmultiInhom.Rd                    |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/G3est.Rd                          |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Gcross.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Gdot.Rd                           |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Gest.Rd                           |   22 
 spatstat.explore-3.3-1/spatstat.explore/man/Gfox.Rd                           |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Ginhom.Rd                         |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/Gmulti.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/GmultiInhom.Rd                    |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/Hest.Rd                           |    6 
 spatstat.explore-3.3-1/spatstat.explore/man/Iest.Rd                           |    6 
 spatstat.explore-3.3-1/spatstat.explore/man/Jcross.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Jdot.Rd                           |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Jest.Rd                           |   12 
 spatstat.explore-3.3-1/spatstat.explore/man/Jinhom.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Jmulti.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/K3est.Rd                          |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kcross.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kcross.inhom.Rd                   |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kdot.Rd                           |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kdot.inhom.Rd                     |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kest.Rd                           |   10 
 spatstat.explore-3.3-1/spatstat.explore/man/Kest.fft.Rd                       |    8 
 spatstat.explore-3.3-1/spatstat.explore/man/Kinhom.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kmark.Rd                          |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kmeasure.Rd                       |   14 
 spatstat.explore-3.3-1/spatstat.explore/man/Kmulti.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kmulti.inhom.Rd                   |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Kscaled.Rd                        |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Ksector.Rd                        |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Lest.Rd                           |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Linhom.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Smooth.ppp.Rd                     |   10 
 spatstat.explore-3.3-1/spatstat.explore/man/Smoothfun.ppp.Rd                  |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/Tstat.Rd                          |    7 
 spatstat.explore-3.3-1/spatstat.explore/man/Window.quadrattest.Rd             |   12 
 spatstat.explore-3.3-1/spatstat.explore/man/adaptive.density.Rd               |   26 
 spatstat.explore-3.3-1/spatstat.explore/man/allstats.Rd                       |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/as.owin.quadrattest.Rd            |    8 
 spatstat.explore-3.3-1/spatstat.explore/man/as.tess.Rd                        |    5 
 spatstat.explore-3.3-1/spatstat.explore/man/auc.Rd                            |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/berman.test.Rd                    |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/bind.fv.Rd                        |   39 +
 spatstat.explore-3.3-1/spatstat.explore/man/blur.Rd                           |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/bw.CvL.adaptive.Rd                |    6 
 spatstat.explore-3.3-1/spatstat.explore/man/bw.abram.ppp.Rd                   |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/bw.frac.Rd                        |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/cdf.test.Rd                       |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/clarkevans.Rd                     |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/clusterset.Rd                     |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/compatible.fasp.Rd                |    9 
 spatstat.explore-3.3-1/spatstat.explore/man/compatible.fv.Rd                  |    5 
 spatstat.explore-3.3-1/spatstat.explore/man/density.ppp.Rd                    |   14 
 spatstat.explore-3.3-1/spatstat.explore/man/density.psp.Rd                    |    8 
 spatstat.explore-3.3-1/spatstat.explore/man/density.splitppp.Rd               |    8 
 spatstat.explore-3.3-1/spatstat.explore/man/densityAdaptiveKernel.ppp.Rd      |only
 spatstat.explore-3.3-1/spatstat.explore/man/densityAdaptiveKernel.splitppp.Rd |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/densityVoronoi.Rd                 |    8 
 spatstat.explore-3.3-1/spatstat.explore/man/densityfun.Rd                     |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/distcdf.Rd                        |   14 
 spatstat.explore-3.3-1/spatstat.explore/man/domain.quadrattest.Rd             |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/edge.Trans.Rd                     |    8 
 spatstat.explore-3.3-1/spatstat.explore/man/envelope.Rd                       |   12 
 spatstat.explore-3.3-1/spatstat.explore/man/envelope.pp3.Rd                   |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/fryplot.Rd                        |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/harmonise.fv.Rd                   |   10 
 spatstat.explore-3.3-1/spatstat.explore/man/hopskel.Rd                        |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/hotbox.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/idw.Rd                            |   15 
 spatstat.explore-3.3-1/spatstat.explore/man/integral.fv.Rd                    |    6 
 spatstat.explore-3.3-1/spatstat.explore/man/laslett.Rd                        |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/markconnect.Rd                    |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/markcorr.Rd                       |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/markcrosscorr.Rd                  |   12 
 spatstat.explore-3.3-1/spatstat.explore/man/markmarkscatter.Rd                |    6 
 spatstat.explore-3.3-1/spatstat.explore/man/marktable.Rd                      |    8 
 spatstat.explore-3.3-1/spatstat.explore/man/markvario.Rd                      |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/methods.ssf.Rd                    |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/miplot.Rd                         |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/nnclean.Rd                        |    6 
 spatstat.explore-3.3-1/spatstat.explore/man/nncorr.Rd                         |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/nndensity.Rd                      |   10 
 spatstat.explore-3.3-1/spatstat.explore/man/pairMean.Rd                       |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/pairs.im.Rd                       |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/panel.contour.Rd                  |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/pcf.ppp.Rd                        |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/pcf3est.Rd                        |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/pcfinhom.Rd                       |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/plot.fv.Rd                        |    4 
 spatstat.explore-3.3-1/spatstat.explore/man/plot.laslett.Rd                   |   14 
 spatstat.explore-3.3-1/spatstat.explore/man/plot.quadrattest.Rd               |   11 
 spatstat.explore-3.3-1/spatstat.explore/man/plot.scan.test.Rd                 |    2 
 spatstat.explore-3.3-1/spatstat.explore/man/pool.anylist.Rd                   |   12 
 spatstat.explore-3.3-1/spatstat.explore/man/quadrat.test.Rd                   |   12 
 spatstat.explore-3.3-1/spatstat.explore/man/quadrat.test.splitppp.Rd          |    6 
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Package spatstat updated to version 3.1-1 with previous version 3.0-8 dated 2024-03-26

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package sampcompR updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-12

Title: Comparing and Visualizing Differences Between Surveys
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). „Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Non-Probability Surveys with [...truncated...]
Author: Bjoern Rohr [aut, cre, cph], Barbara Felderer [aut]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>

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Package lineup updated to version 0.44 with previous version 0.42 dated 2022-07-10

Title: Lining Up Two Sets of Measurements
Description: Tools for detecting and correcting sample mix-ups between two sets of measurements, such as between gene expression data on two tissues. Broman et al. (2015) <doi:10.1534/g3.115.019778>.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package sox updated to version 1.2 with previous version 1.1 dated 2023-12-11

Title: Structured Learning in Time-Dependent Cox Models
Description: Efficient procedures for fitting and cross-validating the structurally-regularized time-dependent Cox models.
Author: Yi Lian [aut, cre], Guanbo Wang [aut], Archer Y. Yang [aut], Mireille E. Schnitzer [aut], Robert W. Platt [aut], Rui Wang [aut], Marc Dorais [aut], Sylvie Perreault [aut], Julien Mairal [ctb], Yuansi Chen [ctb]
Maintainer: Yi Lian <yi.lian@mail.mcgill.ca>

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Package refseqR updated to version 1.1.2 with previous version 1.0.2 dated 2024-05-22

Title: Common Computational Operations Working with RefSeq Entries (GenBank)
Description: Fetches NCBI data (RefSeq <https://www.ncbi.nlm.nih.gov/refseq/> database) and provides an environment to extract information at the level of gene, mRNA or protein accessions.
Author: Jose V. Die [aut, cre] , Lluis Revilla Sancho [ctb]
Maintainer: Jose V. Die <jose.die@uco.es>

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Package protti updated to version 0.9.0 with previous version 0.8.0 dated 2024-03-28

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre] , Dina Schuster [aut] , ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

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Package parallelpam updated to version 1.4.3 with previous version 1.4.2 dated 2024-07-01

Title: Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data
Description: Application of the Partitioning-Around-Medoids (PAM) clustering algorithm described in Schubert, E. and Rousseeuw, P.J.: "Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms." Information Systems, vol. 101, p. 101804, (2021). <doi:10.1016/j.is.2021.101804>. It uses a binary format for storing and retrieval of matrices developed for the 'jmatrix' package but the functionality of 'jmatrix' is included here, so you do not need to install it. Also, it is used by package 'scellpam', so if you have installed it, you do not need to install this package. PAM can be applied to sets of data whose dissimilarity matrix can be very big. It has been tested with up to 100.000 points. It does this with the help of the code developed for other package, 'jmatrix', which allows the matrix not to be loaded in 'R' memory (which would force it to be of double type) but it gets from disk, which allows using float (or even smaller data types). Moreover [...truncated...]
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>

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Package NMsim updated to version 0.1.2 with previous version 0.1.1 dated 2024-07-03

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface from within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating time spent and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre]
Maintainer: Philip Delff <philip@delff.dk>

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Package FeatureExtraction updated to version 3.6.0 with previous version 3.5.2 dated 2024-05-01

Title: Generating Features for a Cohort
Description: An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package fdaPDE updated to version 1.1-19 with previous version 1.1-18 dated 2024-05-30

Title: Physics-Informed Spatial and Functional Data Analysis
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization. See Sangalli, L. M. (2021) <doi:10.1111/insr.12444> "Spatial Regression With Partial Differential Equation Regularisation" for an overview. The release 1.1-9 requires R (>= 4.2.0) to be installed on windows machines.
Author: Eleonora Arnone [aut, cre], Aldo Clemente [aut], Laura M. Sangalli [aut], Eardi Lila [aut], Jim Ramsay [aut], Luca Formaggia [aut], Giovanni Ardenghi [ctb], Blerta Begu [ctb], Michele Cavazzutti [ctb], Alessandra Colli [ctb], Alberto Colombo [ctb], L [...truncated...]
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>

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New package databraryr with initial version 0.6.6
Package: databraryr
Title: Interact with the 'Databrary.org' API
Version: 0.6.6
Maintainer: Rick O. Gilmore <rog1@psu.edu>
Description: 'Databrary.org' is a restricted access repository for research data, especially video and audio. This package provides commands to interact with the data stored on 'Databrary.org'.
License: MIT + file LICENSE
URL: https://databrary.github.io/databraryr/, https://github.com/databrary/databraryr
BugReports: https://github.com/databrary/databraryr/issues
Imports: assertthat (>= 0.2.1), dplyr (>= 1.1.4), getPass (>= 0.2.4), httr2 (>= 1.0.0), keyring (>= 1.3.2), lifecycle (>= 1.0.4), magick (>= 2.8.2), magrittr, methods (>= 4.3.2), options (>= 0.2.0), purrr (>= 1.0.2), stringr (>= 1.5.1), tibble (>= 3.2.1), xfun (>= 0.41)
Suggests: av (>= 0.9.0), ggplot2, knitr, openssl, readr, rmarkdown (>= 2.26), testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-07-09 15:01:58 UTC; rog1
Author: Rick O. Gilmore [aut, cre, cph], Jeffrey Spies [aut], National Science Foundation OAC-2032713 [fnd], National Institutes of Health R01HD094830 [fnd]
Repository: CRAN
Date/Publication: 2024-07-15 18:40:02 UTC

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Permanent link

Package CovRegRF updated to version 2.0.1 with previous version 2.0.0 dated 2024-02-13

Title: Covariance Regression with Random Forests
Description: Covariance Regression with Random Forests (CovRegRF) is a random forest method for estimating the covariance matrix of a multivariate response given a set of covariates. Random forest trees are built with a new splitting rule which is designed to maximize the distance between the sample covariance matrix estimates of the child nodes. The method is described in Alakus et al. (2023) <doi:10.1186/s12859-023-05377-y>. 'CovRegRF' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2022) <https://cran.r-project.org/package=randomForestSRC> by freezing at the version 3.1.0. The custom splitting rule feature is utilised to apply the proposed splitting rule. The 'randomForestSRC' package implements 'OpenMP' by default, contingent upon the support provided by the target architecture and operating system. In this package, 'LAPACK' and 'BLAS' libraries are used for matrix decompositions.
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb] , Intel Corporation [cph] , Keita Teranishi [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>

Diff between CovRegRF versions 2.0.0 dated 2024-02-13 and 2.0.1 dated 2024-07-15

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More information about CovRegRF at CRAN
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Package optimCheck (with last version 1.0) was removed from CRAN

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

2019-10-09 1.0

Permanent link
Package VAJointSurv (with last version 0.1.0) was removed from CRAN

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

2022-08-14 0.1.0

Permanent link
Package maxnodf (with last version 1.0.0) was removed from CRAN

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

2020-03-13 1.0.0

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Package NADIA (with last version 0.4.2) was removed from CRAN

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

2022-10-02 0.4.2
2021-01-06 0.4.1
2020-11-23 0.4.0

Permanent link
Package Rapp updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-20

Title: Easily Build Command Line Applications
Description: Run simple 'R' scripts as command line applications, with automatic robust and convenient support for command line arguments. This package provides 'Rapp', an alternative 'R' front-end similar to 'Rscript', that enables this.
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between Rapp versions 0.1.0 dated 2023-03-20 and 0.2.0 dated 2024-07-15

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Package performance updated to version 0.12.1 with previous version 0.12.0 dated 2024-06-08

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between performance versions 0.12.0 dated 2024-06-08 and 0.12.1 dated 2024-07-15

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Package EloRating updated to version 0.46.18 with previous version 0.46.11 dated 2020-03-12

Title: Animal Dominance Hierarchies by Elo Rating
Description: Provides functions to quantify animal dominance hierarchies. The major focus is on Elo rating and its ability to deal with temporal dynamics in dominance interaction sequences. For static data, David's score and de Vries' I&SI are also implemented. In addition, the package provides functions to assess transitivity, linearity and stability of dominance networks. See Neumann et al (2011) <doi:10.1016/j.anbehav.2011.07.016> for an introduction.
Author: Christof Neumann [aut, cre] , Lars Kulik [aut]
Maintainer: Christof Neumann <christofneumann1@gmail.com>

Diff between EloRating versions 0.46.11 dated 2020-03-12 and 0.46.18 dated 2024-07-15

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Permanent link

Package AHPtools updated to version 0.3.0 with previous version 0.2.1 dated 2023-11-02

Title: Consistency in the Analytic Hierarchy Process
Description: A Swiss Army knife of utility functions for users of the Analytic Hierarchy Process (AHP) which will help you to assess the consistency of a PCM as well as to improve its consistency ratio, to compute the sensitivity of a PCM, create a logical (as distinct from a random PCM) from preferences provided for the alternatives, and a function that helps evaluate the actual consistency of a PCM based on objective, fair bench marking. The various functions in the toolkit additionally provide the flexibility to users to specify only the upper triangular comparison ratios of the PCM in order to performs its assigned task.
Author: Amarnath Bose [aut, cre]
Maintainer: Amarnath Bose <amarnath.bose@gmail.com>

Diff between AHPtools versions 0.2.1 dated 2023-11-02 and 0.3.0 dated 2024-07-15

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Permanent link

Package mdmb updated to version 1.9-22 with previous version 1.8-7 dated 2023-02-28

Title: Model Based Treatment of Missing Data
Description: Contains model-based treatment of missing data for regression models with missing values in covariates or the dependent variable using maximum likelihood or Bayesian estimation (Ibrahim et al., 2005; <doi:10.1198/016214504000001844>; Luedtke, Robitzsch, & West, 2020a, 2020b; <doi:10.1080/00273171.2019.1640104><doi:10.1037/met0000233>). The regression model can be nonlinear (e.g., interaction effects, quadratic effects or B-spline functions). Multilevel models with missing data in predictors are available for Bayesian estimation. Substantive-model compatible multiple imputation can be also conducted.
Author: Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between mdmb versions 1.8-7 dated 2023-02-28 and 1.9-22 dated 2024-07-15

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Package RNAseqQC updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-01

Title: Quality Control for RNA-Seq Data
Description: Functions for semi-automated quality control of bulk RNA-seq data.
Author: Frederik Ziebell [cre], Frederik Ziebell [aut] , GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Frederik Ziebell <f_ziebell@web.de>

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Package processmapR updated to version 0.5.4 with previous version 0.5.3 dated 2023-04-06

Title: Construct Process Maps Using Event Data
Description: Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], Benoît Depaire [ctb], Felix Mannhardt [ctb], Thijs Beuving [ctb], urvikalia [ctb], Hasselt University [cph]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package diseasystore updated to version 0.2.2 with previous version 0.2.1 dated 2024-04-22

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Marcus Munch Gruenewald [ctb] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package LAM updated to version 0.7-22 with previous version 0.6-19 dated 2022-05-18

Title: Some Latent Variable Models
Description: Includes some procedures for latent variable modeling with a particular focus on multilevel data. The 'LAM' package contains mean and covariance structure modelling for multivariate normally distributed data (mlnormal(); Longford, 1987; <doi:10.1093/biomet/74.4.817>), a general Metropolis-Hastings algorithm (amh(); Roberts & Rosenthal, 2001, <doi:10.1214/ss/1015346320>) and penalized maximum likelihood estimation (pmle(); Cole, Chu & Greenland, 2014; <doi:10.1093/aje/kwt245>).
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package box.linters updated to version 0.10.0 with previous version 0.9.1 dated 2024-06-04

Title: Linters for 'box' Modules
Description: Static code analysis of 'box' modules. The package enhances code quality by providing linters that check for common issues, enforce best practices, and ensure consistent coding standards.
Author: Ricardo Rodrigo Basa [aut, cre], Jakub Nowicki [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Ricardo Rodrigo Basa <opensource+rodrigo@appsilon.com>

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Package ivgets updated to version 0.1.2 with previous version 0.1.1 dated 2022-10-17

Title: General to Specific Modeling and Indicator Saturation in 2SLS Models
Description: Provides facilities of general to specific model selection for exogenous regressors in 2SLS models. Furthermore, indicator saturation methods can be used to detect outliers and structural breaks in the sample.
Author: Kurle Jonas [aut, cre]
Maintainer: Kurle Jonas <mail@jonaskurle.com>

Diff between ivgets versions 0.1.1 dated 2022-10-17 and 0.1.2 dated 2024-07-15

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Package StanHeaders updated to version 2.32.10 with previous version 2.32.9 dated 2024-05-29

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The [...truncated...]
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package datawizard updated to version 0.12.1 with previous version 0.12.0 dated 2024-07-11

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] , Etienne Bacher [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Remi Theriault [ctb] , Thomas J. Faulkenberry [rev], Robert Garrett [rev]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package SGPdata updated to version 28.0-0.0 with previous version 27.0-0.0 dated 2023-10-18

Title: Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses
Description: Data sets utilized by the 'SGP' package as exemplars for users to conduct their own student growth percentiles (SGP) analyses.
Author: Damian W. Betebenner [aut, cre], Adam R. Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

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New package holi with initial version 0.1.0
Package: holi
Title: Higher Order Likelihood Inference Web Applications
Version: 0.1.0
Description: Higher order likelihood inference is a promising approach for analyzing small sample size data. The 'holi' package provides web applications for higher order likelihood inference. It currently supports linear, logistic, and Poisson generalized linear models through the rstar_glm() function, based on Pierce and Bellio (2017) <doi:10.1111/insr.12232> and 'likelihoodAsy'. The package offers two main features: LA_rstar(), which launches an interactive 'shiny' application allowing users to fit models with rstar_glm() through their web browser, and sim_rstar_glm_pgsql(), which streamlines the process of launching a web-based 'shiny' simulation application that saves results to a user-created 'PostgreSQL' database.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mightymetrika/holi
BugReports: https://github.com/mightymetrika/holi/issues
Suggests: testthat (>= 3.0.0)
Imports: DT, ggplot2, likelihoodAsy, MASS, pool, RPostgres, shiny, shinythemes, sn
NeedsCompilation: no
Packaged: 2024-07-14 15:59:28 UTC; Administrator
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-15 07:40:02 UTC

More information about holi at CRAN
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Sun, 14 Jul 2024

Package SetTest updated to version 0.3.0 with previous version 0.2.0 dated 2018-03-22

Title: Group Testing Procedures for Signal Detection and Goodness-of-Fit
Description: It provides cumulative distribution function (CDF), quantile, p-value, statistical power calculator and random number generator for a collection of group-testing procedures, including the Higher Criticism tests, the one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests, the one-sided phi-divergence tests, etc. The input are a group of p-values. The null hypothesis is that they are i.i.d. Uniform(0,1). In the context of signal detection, the null hypothesis means no signals. In the context of the goodness-of-fit testing, which contrasts a group of i.i.d. random variables to a given continuous distribution, the input p-values can be obtained by the CDF transformation. The null hypothesis means that these random variables follow the given distribution. For reference, see [1]Hong Zhang, Jiashun Jin and Zheyang Wu. "Distributions and power of optimal signal-detection statistics in finite case", IEEE Transactions on Signal Processing (2020) 68, 1021-1033; [2] Hong Zhang and Zhey [...truncated...]
Author: Hong Zhang and Zheyang Wu
Maintainer: Hong Zhang <hzhang@wpi.edu>

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Package tor updated to version 1.1.3 with previous version 1.1.2 dated 2020-03-07

Title: Import Multiple Files From a Single Directory at Once
Description: The goal of tor (to-R) is to help you to import multiple files from a single directory at once, and to do so as quickly, flexibly, and simply as possible.
Author: Mauro Lepore [aut, cre]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package tidystats updated to version 0.6.2 with previous version 0.6.1 dated 2024-04-09

Title: Save Output of Statistical Tests
Description: Save the output of statistical tests in an organized file that can be shared with others or used to report statistics in scientific papers.
Author: Willem Sleegers
Maintainer: Willem Sleegers <w.sleegers@me.com>

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Package SIMPLE.REGRESSION updated to version 0.1.9 with previous version 0.1.6 dated 2023-02-24

Title: OLS, Moderated, Logistic, and Count Regressions Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple regression, logistic regression, and Poisson regression. Detailed output is also provided for OLS moderated regression, interaction plots, and Johnson-Neyman regions of significance. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. There are numerous options for model plots, including plots of interactions for both lm and lme models.
Author: Brian P. O'Connor
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package nls2 updated to version 0.3-4 with previous version 0.3-3 dated 2022-05-02

Title: Non-Linear Regression with Brute Force
Description: Adds brute force and multiple starting values to nls.
Author: G. Grothendieck, R Core Team
Maintainer: G. Grothendieck <ggrothendieck@gmail.com>

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Package cubature updated to version 2.1.1 with previous version 2.1.0 dated 2023-06-11

Title: Adaptive Multivariate Integration over Hypercubes
Description: R wrappers around the cubature C library of Steven G. Johnson for adaptive multivariate integration over hypercubes and the Cuba C library of Thomas Hahn for deterministic and Monte Carlo integration. Scalar and vector interfaces for cubature and Cuba routines are provided; the vector interfaces are highly recommended as demonstrated in the package vignette.
Author: Balasubramanian Narasimhan [aut, cre], Manuel Koller [ctb], Steven G. Johnson [aut], Thomas Hahn [aut], Annie Bouvier [aut], Kien Kieu [aut], Simen Gaure [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>

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Package CICA updated to version 1.1.1 with previous version 1.1.0 dated 2024-07-11

Title: Clusterwise Independent Component Analysis
Description: Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.
Author: Jeffrey Durieux [aut, cre], Tom Wilderjans [aut], Juan Claramunt Gonzalez [ctb]
Maintainer: Jeffrey Durieux <durieux.jeffrey@gmail.com>

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Package bsvars updated to version 3.1 with previous version 3.0.1 dated 2024-06-28

Title: Bayesian Estimation of Structural Vector Autoregressive Models
Description: Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation complement all this. The implemented techniques align closely with thos [...truncated...]
Author: Tomasz Wozniak [aut, cre]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

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New package zippeR with initial version 0.1.0
Package: zippeR
Title: Working with United States ZIP Code and ZIP Code Tabulation Area Data
Version: 0.1.0
Description: Provides a set of functions for working with American postal codes, which are known as ZIP Codes. These include accessing ZIP Code to ZIP Code Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs, and tabulating demographic data for three-digit ZCTAs.
Depends: R (>= 3.5)
License: Apache License (>= 2)
URL: https://github.com/pfizer-opensource/zippeR
BugReports: https://github.com/pfizer-opensource/zippeR/issues
Encoding: UTF-8
LazyData: true
Imports: datasets, dplyr, httr, jsonlite, purrr, readr, sf, spatstat.univar, stats, stringr, tibble, tidycensus, tidyr, tigris
Suggests: covr, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-12 15:44:37 UTC; prenec
Author: Christopher Prener [aut, cre] , Timothy Wiemken [aut] , Angela Cook [aut]
Maintainer: Christopher Prener <Christopher.Prener@pfizer.com>
Repository: CRAN
Date/Publication: 2024-07-14 12:40:02 UTC

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New package modisfast with initial version 0.9.1
Package: modisfast
Title: Fast and Efficient Access to MODIS Earth Observation Data
Version: 0.9.1
Description: Programmatic interface to several NASA Earth Observation 'OPeNDAP' servers (Open-source Project for a Network Data Access Protocol) (<https://www.opendap.org/>). Allows for easy downloads of MODIS subsets, as well as other Earth Observation datacubes, in a time-saving and efficient way : by sampling it at the very downloading phase (spatially, temporally and dimensionally).
License: GPL (>= 3)
URL: https://github.com/ptaconet/modisfast
BugReports: https://github.com/ptaconet/modisfast/issues
Depends: R (>= 2.10)
Imports: curl, dplyr, httr, lubridate, magrittr, parallel, purrr, rvest, sf, stats, stringr, terra, xml2
Suggests: ggplot2, knitr, mapview, rmarkdown, spelling, testthat
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2024-07-12 12:08:40 UTC; ptaconet
Author: Paul Taconet [aut, cre, cph] , Nicolas Moiroux [fnd] , French National Research Institute for Sustainable Development, IRD [fnd]
Maintainer: Paul Taconet <paul.taconet@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-14 12:10:02 UTC

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New package mig with initial version 1.0
Package: mig
Title: Multivariate Inverse Gaussian Distribution
Version: 1.0
Description: Provides utilities for estimation for the multivariate inverse Gaussian distribution of Minami (2003) <doi:10.1081/STA-120025379>, including random vector generation and explicit estimators of the location vector and scale matrix. The package implements kernel density estimators discussed in Belzile, Desgagnes, Genest and Ouimet (2024) <doi:10.48550/arXiv.2209.04757> for smoothing multivariate data on half-spaces.
BugReports: https://github.com/lbelzile/mig/issues
Imports: statmod, TruncatedNormal (>= 2.3), Rcpp (>= 1.0.12)
Depends: R (>= 2.10)
Suggests: numDeriv, tinytest, knitr, rmarkdown, minqa
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
License: MIT + file LICENSE
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-07-12 13:32:47 UTC; lbelzile
Author: Frederic Ouimet [aut] , Leo Belzile [aut, cre]
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-14 12:30:02 UTC

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New package EEML with initial version 0.1.0
Package: EEML
Title: Ensemble Explainable Machine Learning Models
Version: 0.1.0
Author: Dr. Md Yeasin [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Dipanwita Haldar [aut], Dr. Suresh Kumar [aut]
Maintainer: Dr. Md Yeasin <yeasin.iasri@gmail.com>
Description: We introduced a novel ensemble-based explainable machine learning model using Model Confidence Set (MCS) and two stage Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm. The model combined the predictive capabilities of different machine-learning models and integrates the interpretability of explainability methods. To develop the proposed algorithm, a two-stage Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) framework was employed. The package has been developed using the algorithm of Paul et al. <doi:10.1007/s40009-023-01218-x> and Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
License: GPL-3
Encoding: UTF-8
Imports: stats, MCS, WeightedEnsemble, topsis
NeedsCompilation: no
Packaged: 2024-07-12 20:22:54 UTC; YEASIN
Repository: CRAN
Date/Publication: 2024-07-14 12:50:02 UTC

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New package ChangePointTaylor with initial version 0.3
Package: ChangePointTaylor
Title: Identify Changes in Mean
Version: 0.3
Date: 2024-07-12
Maintainer: Michael Marks <michaelmarks@analyticaconsulting.com>
Description: A basic implementation of the change in mean detection method outlined in: Taylor, Wayne A. (2000) <https://variation.com/wp-content/uploads/change-point-analyzer/change-point-analysis-a-powerful-new-tool-for-detecting-changes.pdf>. The package recursively uses the mean-squared error change point calculation to identify candidate change points. The candidate change points are then re-estimated and Taylor's backwards elimination process is then employed to come up with a final set of change points. Many of the underlying functions are written in C++ for improved performance.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.4), dplyr, purrr, tidyr, magrittr, rlang
LinkingTo: Rcpp
LazyData: true
Suggests: knitr, rmarkdown, ggplot2, bench
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-07-12 20:39:00 UTC; mmark
Author: Michael Marks [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-07-14 13:00:02 UTC

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New package BATSS with initial version 0.7.14
Package: BATSS
Title: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
Version: 0.7.14
Description: Defines operating characteristics of Bayesian Adaptive Trials considering a generalised linear model response via Monte Carlo simulations of Bayesian GLM fitted via integrated Laplace approximations (INLA).
URL: https://batss-dev.github.io/BATSS/
License: GPL-2
Encoding: UTF-8
Suggests: INLA
Imports: parallel, methods, stats, grDevices, abind, plyr, rlang, R.utils, cli
Additional_repositories: https://inla.r-inla-download.org/R/testing
NeedsCompilation: no
Packaged: 2024-07-12 14:50:23 UTC; research
Author: Dominique-Laurent Couturier [aut, cre] , Liz Ryan [aut] , Rainer Puhr [aut], Thomas Jaki [aut] , Stephane Heritier [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2024-07-14 12:40:06 UTC

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New package iPRISM with initial version 0.1.1
Package: iPRISM
Title: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling
Version: 0.1.1
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: Immunotherapy has revolutionized cancer treatment, but predicting patient response remains challenging. Here, we presented Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling (iPRISM), a novel network-based model that integrates multiple data types to predict immunotherapy outcomes. It incorporates gene expression, biological functional network, tumor microenvironment characteristics, immune-related pathways, and clinical data to provide a comprehensive view of factors influencing immunotherapy efficacy. By identifying key genetic and immunological factors, it provides an insight for more personalized treatment strategies and combination therapies to overcome resistance mechanisms.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: ggplot2, Hmisc, tidyr, igraph, pbapply, Matrix, methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-12 06:27:46 UTC; syc
Author: Junwei Han [aut, cre, ctb], Yinchun Su [aut], Siyuan Li [aut]
Repository: CRAN
Date/Publication: 2024-07-14 12:00:02 UTC

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New package HonestDiD with initial version 0.2.6
Package: HonestDiD
Title: Robust Inference in Difference-in-Differences and Event Study Designs
Version: 0.2.6
Depends: R (>= 3.6.0)
Imports: stats, rlang, foreach (>= 1.4.7), matrixStats (>= 0.63.0), CVXR (>= 0.99-6), latex2exp (>= 0.4.0), lpSolveAPI (>= 5.5.2.0-17), Matrix (>= 1.2-17), pracma (>= 2.2.5), purrr (>= 0.3.4), tibble (>= 1.3.4), dplyr (>= 0.7.4), ggplot2 (>= 2.2.1), Rglpk (>= 0.6-4), mvtnorm (>= 1.1-3), TruncatedNormal (>= 1.0)
Suggests: knitr, testthat, haven, lfe, rmarkdown
Description: Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.
Encoding: UTF-8
LazyData: true
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-07-12 00:19:14 UTC; asheshr
Author: Ashesh Rambachan [aut, cph, cre], Jonathan Roth [aut, cph]
Maintainer: Ashesh Rambachan <ashesh.a.rambachan@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-14 11:40:02 UTC

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New package hedgedrf with initial version 0.0.1
Package: hedgedrf
Title: An Implementation of the Hedged Random Forest Algorithm
Version: 0.0.1
Description: This algorithm is described in detail in the paper "Hedging Forecast Combinations With an Application to the Random Forest" by Beck et al. (2023) <doi:10.48550/arXiv.2308.15384>. The package provides a function hedgedrf() that can be used to train a Hedged Random Forest model on a dataset, and a function predict.hedgedrf() that can be used to make predictions with the model.
License: GPL-3
Imports: ranger, CVXR
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-07-12 06:41:08 UTC; ubuntu
Author: Elliot Beck [aut, cre]
Maintainer: Elliot Beck <elliot.beck@bf.uzh.ch>
Repository: CRAN
Date/Publication: 2024-07-14 12:00:05 UTC

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New package closeloop with initial version 0.1.0
Package: closeloop
Title: Integrate Single-Arm Observational Data in Network Meta Analysis
Version: 0.1.0
Date: 2024-08-07
Maintainer: Shubhram Pandey <shubhram1992@gmail.com>
Description: Calculate the distance between single-arm observational studies using covariate information to remove heterogeneity in Network Meta-Analysis (NMA) of randomized clinical trials. Facilitate the inclusion of observational data in NMA, enhancing the comprehensiveness and robustness of comparative effectiveness research. Schmitz (2018) <doi:10.1186/s12874-018-0509-7>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: combinat
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/heorlytics/closeloop
NeedsCompilation: no
Packaged: 2024-07-12 12:00:18 UTC; ShubhramPandey
Author: Supreet Kaur [ctb], Akanksha Sharma [ctb], Shubhram Pandey [aut, cre]
Repository: CRAN
Date/Publication: 2024-07-14 12:00:09 UTC

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Package magick updated to version 2.8.4 with previous version 2.8.3 dated 2024-02-18

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between magick versions 2.8.3 dated 2024-02-18 and 2.8.4 dated 2024-07-14

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Package gets updated to version 0.38 with previous version 0.37 dated 2022-10-09

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03> for an overview of the package. In advanced use, the estimator and diagnostics tests can be fully user-specified, see Sucarrat (2021) <doi:10.32614/RJ-2021-024>.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut], Jonas Kurle [ctb], Moritz Schwarz [ctb]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

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Package QuickJSR updated to version 1.3.1 with previous version 1.3.0 dated 2024-07-08

Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , Fabrice Bellard [cph] , Charlie Gordon [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between QuickJSR versions 1.3.0 dated 2024-07-08 and 1.3.1 dated 2024-07-14

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Package ppendemic updated to version 0.1.8 with previous version 0.1.7 dated 2023-08-15

Title: A Glimpse at the Diversity of Peru's Endemic Plants
Description: Introducing a novel and updated database showcasing Peru's endemic plants. This meticulously compiled and revised botanical collection encompasses a remarkable assemblage of over 7,249 distinct species. The data for this resource was sourced from the work of Govaerts, R., Nic Lughadha, E., Black, N. et al., titled 'The World Checklist of Vascular Plants: A continuously updated resource for exploring global plant diversity', published in Sci Data 8, 215 (2021) <doi:10.1038/s41597-021-00997-6>.
Author: Paul E. Santos Andrade [aut, cre] , Lucely L. Vilca Bustamante [aut]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

Diff between ppendemic versions 0.1.7 dated 2023-08-15 and 0.1.8 dated 2024-07-14

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Package mirt updated to version 1.42 with previous version 1.41 dated 2023-10-17

Title: Multidimensional Item Response Theory
Description: Analysis of discrete response data using unidimensional and multidimensional item analysis models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory item factor analysis models are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier models are available for modeling item testlets using dimension reduction EM algorithms, while multiple group analyses and mixed effects designs are included for detecting differential item, bundle, and test functioning, and for modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, mixture IRT models, and zero-inflated response models are supported.
Author: Phil Chalmers [aut, cre] , Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb], Lennart Schneider [ctb], David King [ctb], Chen-Wei Liu [ctb], Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.41 dated 2023-10-17 and 1.42 dated 2024-07-14

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Sat, 13 Jul 2024

Package sgs updated to version 0.2.0 with previous version 0.1.1 dated 2023-08-22

Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Description: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general adaptive three operator splitting (ATOS) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) models are also implemented. Both gSLOPE and SGS are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Author: Fabio Feser [aut, cre] , Marina Evangelou [aut]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between sgs versions 0.1.1 dated 2023-08-22 and 0.2.0 dated 2024-07-13

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Package palettes updated to version 0.2.1 with previous version 0.2.0 dated 2024-02-05

Title: Methods for Colour Vectors and Colour Palettes
Description: Provides a comprehensive library for colour vectors and colour palettes using a new family of colour classes (palettes_colour and palettes_palette) that always print as hex codes with colour previews. Capabilities include: formatting, casting and coercion, extraction and updating of components, plotting, colour mixing arithmetic, and colour interpolation.
Author: Michael McCarthy [aut, cre, cph]
Maintainer: Michael McCarthy <m.mccarthy1624@gmail.com>

Diff between palettes versions 0.2.0 dated 2024-02-05 and 0.2.1 dated 2024-07-13

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Package rb3 updated to version 0.0.11 with previous version 0.0.10 dated 2023-04-14

Title: Download and Parse Public Data Released by B3 Exchange
Description: Download and parse public files released by B3 and convert them into useful formats and data structures common to data analysis practitioners.
Author: Wilson Freitas [aut, cre], Marcelo Perlin [aut]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between rb3 versions 0.0.10 dated 2023-04-14 and 0.0.11 dated 2024-07-13

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More information about rb3 at CRAN
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Package rayimage updated to version 0.11.0 with previous version 0.10.0 dated 2023-12-09

Title: Image Processing for Simulated Cameras
Description: Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices. Includes functions to perform 2D convolutions, reorient and resize images/matrices, add image overlays, generate camera vignette effects, and add titles to images.
Author: Tyler Morgan-Wall [aut, cph, cre] , Sean Barrett [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayimage versions 0.10.0 dated 2023-12-09 and 0.11.0 dated 2024-07-13

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Permanent link

Package phonfieldwork updated to version 0.0.15 with previous version 0.0.14 dated 2024-05-10

Title: Linguistic Phonetic Fieldwork Tools
Description: There are a lot of different typical tasks that have to be solved during phonetic research and experiments. This includes creating a presentation that will contain all stimuli, renaming and concatenating multiple sound files recorded during a session, automatic annotation in 'Praat' TextGrids (this is one of the sound annotation standards provided by 'Praat' software, see Boersma & Weenink 2020 <https://www.fon.hum.uva.nl/praat/>), creating an html table with annotations and spectrograms, and converting multiple formats ('Praat' TextGrid, 'ELAN', 'EXMARaLDA', 'Audacity', subtitles '.srt', and 'FLEx' flextext). All of these tasks can be solved by a mixture of different tools (any programming language has programs for automatic renaming, and Praat contains scripts for concatenating and renaming files, etc.). 'phonfieldwork' provides a functionality that will make it easier to solve those tasks independently of any additional tools. You can also compare the functionality with ot [...truncated...]
Author: George Moroz [aut, cre] , Jonathan Keane [rev] , Niko Partanen [rev] , Valeria Buntiakova [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>

Diff between phonfieldwork versions 0.0.14 dated 2024-05-10 and 0.0.15 dated 2024-07-13

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 MD5                                               |   10 +++++-----
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More information about phonfieldwork at CRAN
Permanent link

Package ao updated to version 1.1.0 with previous version 1.0.0 dated 2024-06-20

Title: Alternating Optimization
Description: Alternating optimization is an iterative procedure that optimizes a function by alternately performing restricted optimization over individual parameter subsets. Instead of tackling joint optimization directly, it breaks the problem down into simpler sub-problems. This approach can make optimization feasible when joint optimization is too difficult.
Author: Lennart Oelschlaeger [aut, cre] , Siddhartha Chib [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between ao versions 1.0.0 dated 2024-06-20 and 1.1.0 dated 2024-07-13

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More information about ao at CRAN
Permanent link

Package insight updated to version 0.20.2 with previous version 0.20.1 dated 2024-06-11

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between insight versions 0.20.1 dated 2024-06-11 and 0.20.2 dated 2024-07-13

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Package forsearch updated to version 6.2.0 with previous version 6.1.0 dated 2024-06-22

Title: Diagnostic Analysis Using Forward Search Procedure for Various Models
Description: Identifies potential data outliers and their impact on estimates and analyses. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by stats::lm(), stats::glm(), stats::nls(), nlme::lme() or survival::coxph(). Includes graphics functions to display the descriptive statistics.
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>

Diff between forsearch versions 6.1.0 dated 2024-06-22 and 6.2.0 dated 2024-07-13

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More information about forsearch at CRAN
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New package vol2birdR with initial version 1.0.3
Package: vol2birdR
Title: Vertical Profiles of Biological Signals in Weather Radar Data
Version: 1.0.3
Date: 2024-07-10
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
License: LGPL (>= 3)
Language: en-US
URL: https://github.com/adokter/vol2birdR/, https://adriaandokter.com/vol2bird/
BugReports: https://github.com/adokter/vol2birdR/issues
Imports: assertthat, methods, pkgbuild, Rcpp (>= 1.0.4), rlang, utils, withr
LinkingTo: Rcpp, RcppGSL
VignetteBuilder: knitr
SystemRequirements: GNU make, GSL, HDF5, PROJ
NeedsCompilation: yes
RcppModules: RaveIO, PolarVolume, Vol2Bird, Vol2BirdConfig
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Copyright: file COPYRIGHTS
Encoding: UTF-8
Packaged: 2024-07-10 20:45:07 UTC; at744
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>
Repository: CRAN
Date/Publication: 2024-07-13 12:30:02 UTC

More information about vol2birdR at CRAN
Permanent link

Package bnmonitor updated to version 0.2.0 with previous version 0.1.4 dated 2023-06-02

Title: An Implementation of Sensitivity Analysis in Bayesian Networks
Description: An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of co-variation schemes, to compute sensitivity functions and to quantify the dissimilarity of two Bayesian networks via distances and divergences. It further includes diagnostic methods to assess the goodness of fit of a Bayesian networks to data, including global, node and parent-child monitors. Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022) <doi:10.1016/j.knosys.2023.110882>.
Author: Manuele Leonelli [aut, cre], Ramsiya Ramanathan [aut], Rachel Wilkerson [aut]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>

Diff between bnmonitor versions 0.1.4 dated 2023-06-02 and 0.2.0 dated 2024-07-13

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More information about bnmonitor at CRAN
Permanent link

Package nuts updated to version 1.1.0 with previous version 1.0.0 dated 2024-03-22

Title: Convert European Regional Data
Description: Motivated by changing administrative boundaries over time, the 'nuts' package can convert European regional data with NUTS codes between versions (2006, 2010, 2013, 2016 and 2021) and levels (NUTS 1, NUTS 2 and NUTS 3). The package uses spatial interpolation as in Lam (1983) <doi:10.1559/152304083783914958> based on granular (100m x 100m) area, population and land use data provided by the European Commission's Joint Research Center.
Author: Moritz Hennicke [aut, cre, cph] , Werner Krause [aut, cph] , Pueyo-Ros Josep [rev] , Le Meur Nolwenn [rev]
Maintainer: Moritz Hennicke <AAoritz@posteo.de>

Diff between nuts versions 1.0.0 dated 2024-03-22 and 1.1.0 dated 2024-07-13

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Package callback updated to version 0.1.1 with previous version 0.1.0 dated 2024-05-07

Title: Computes Statistics from Discrimination Experimental Data
Description: In discrimination experiments candidates are sent on the same test (e.g. job, house rental) and one examines whether they receive the same outcome. The number of non negative answers are first examined in details looking for outcome differences. Then various answering rates and their exacts confidence intervals are computed. Last, exact and asymptotic discrimination tests are performed. Graphical methods are also available.
Author: Emmanuel Duguet [aut, cre] , David Gray [ctb] , Loic du Parquet [dtc], Yannick L'Horty [ctb] , Remi Le Gall [dtc] , Noam Leandri [dtc], Pascale Petit [ctb] , Florent Sari [ctb]
Maintainer: Emmanuel Duguet <emmanuel.duguet@u-pec.fr>

Diff between callback versions 0.1.0 dated 2024-05-07 and 0.1.1 dated 2024-07-13

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More information about callback at CRAN
Permanent link

Package PubChemR updated to version 2.0 with previous version 1.2 dated 2024-01-16

Title: Interface to the 'PubChem' Database for Chemical Data Retrieval
Description: Provides an interface to the 'PubChem' database via the PUG REST <https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest> and PUG View <https://pubchem.ncbi.nlm.nih.gov/docs/pug-view> services. This package allows users to automatically access chemical and biological data from 'PubChem', including compounds, substances, assays, and various other data types. Functions are available to retrieve data in different formats, perform searches, and access detailed annotations.
Author: Selcuk Korkmaz [aut, cre] , Bilge Eren Yamasan [aut] , Dincer Goksuluk [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package pivotea updated to version 1.0.2 with previous version 1.0.1 dated 2023-07-15

Title: Create Pivot Table Easily
Description: Pivot easily by specifying rows, columns, values and split.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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Package grpnet updated to version 0.5 with previous version 0.4 dated 2024-06-05

Title: Group Elastic Net Regularized GLMs and GAMs
Description: Efficient algorithms for fitting generalized linear and additive models with group elastic net penalties as described in Helwig (2024) <doi:10.1080/10618600.2024.2362232>. Implements group LASSO, group MCP, and group SCAD with an optional group ridge penalty. Computes the regularization path for linear regression (gaussian), logistic regression (binomial), multinomial logistic regression (multinomial), log-linear count regression (poisson and negative.binomial), and log-linear continuous regression (gamma and inverse gaussian). Supports default and formula methods for model specification, k-fold cross-validation for tuning the regularization parameters, and nonparametric regression via tensor product reproducing kernel (smoothing spline) basis function expansion.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Fri, 12 Jul 2024

Package cmhc updated to version 0.2.8 with previous version 0.2.7 dated 2023-12-13

Title: Access, Retrieve, and Work with CMHC Data
Description: Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web interface. It enables programmatic and reproducible access to a wide variety of housing data from CMHC.
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package lqr updated to version 5.2 with previous version 5.1 dated 2024-06-28

Title: Robust Linear Quantile Regression
Description: It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. Missing values and censored observations can be handled as well. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Galarza et.al.(2020) <doi:10.1007/s13571-020-00231-0>. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.
Author: Christian E. Galarza <chedgala@espol.edu.ec>, Luis Benites <lbenitess@pucp.edu.pe>, Marcelo Bourguignon <m.p.bourguignon@gmail.com>, Victor H. Lachos <hlachos@uconn.edu>
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

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Package qrNLMM updated to version 3.4 with previous version 3.3 dated 2022-08-18

Title: Quantile Regression for Nonlinear Mixed-Effects Models
Description: Quantile regression (QR) for Nonlinear Mixed-Effects Models via the asymmetric Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates and full inference results for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.
Author: Christian E. Galarza <chedgala@espol.edu.ec> and Victor H. Lachos <hlachos@uconn.edu>
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

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Package missRanger updated to version 2.5.0 with previous version 2.4.0 dated 2023-11-19

Title: Fast Imputation of Missing Values
Description: Alternative implementation of the beautiful 'MissForest' algorithm used to impute mixed-type data sets by chaining random forests, introduced by Stekhoven, D.J. and Buehlmann, P. (2012) <doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the lightning fast random forest package 'ranger'. Between the iterative model fitting, we offer the option of using predictive mean matching. This firstly avoids imputation with values not already present in the original data (like a value 0.3334 in 0-1 coded variable). Secondly, predictive mean matching tries to raise the variance in the resulting conditional distributions to a realistic level. This would allow, e.g., to do multiple imputation when repeating the call to missRanger(). A formula interface allows to control which variables should be imputed by which.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package mirtCAT updated to version 1.14 with previous version 1.13 dated 2023-10-17

Title: Computerized Adaptive Testing with Multidimensional Item Response Theory
Description: Provides tools to generate HTML interfaces for adaptive and non-adaptive tests using the shiny package (Chalmers (2016) <doi:10.18637/jss.v071.i05>). Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests that contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying test item banks.
Author: Phil Chalmers [aut, cre] , Magnus Nordmo [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package kernelshap updated to version 0.6.0 with previous version 0.5.0 dated 2024-05-26

Title: Kernel SHAP
Description: Efficient implementation of Kernel SHAP, see Lundberg and Lee (2017), and Covert and Lee (2021) <http://proceedings.mlr.press/v130/covert21a>. Furthermore, for up to 14 features, exact permutation SHAP values can be calculated. The package plays well together with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.
Author: Michael Mayer [aut, cre] , David Watson [aut] , Przemyslaw Biecek [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package genMCMCDiag updated to version 0.2.2 with previous version 0.2.1 dated 2024-05-10

Title: Generalized Convergence Diagnostics for Difficult MCMC Algorithms
Description: Trace plots and convergence diagnostics for Markov Chain Monte Carlo (MCMC) algorithms on highly multivariate or unordered spaces. Methods outlined in a forthcoming paper.
Author: Luke Duttweiler [aut, cre, cph]
Maintainer: Luke Duttweiler <lduttweiler@hsph.harvard.edu>

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Package adaR updated to version 0.3.3 with previous version 0.3.2 dated 2024-02-08

Title: A Fast 'WHATWG' Compliant URL Parser
Description: A wrapper for 'ada-url', a 'WHATWG' compliant and fast URL parser written in modern 'C++'. Also contains auxiliary functions such as a public suffix extractor.
Author: David Schoch [aut, cre] , Chung-hong Chan [aut] , Yagiz Nizipli [ctb, cph] , Daniel Lemire [ctb, cph]
Maintainer: David Schoch <david@schochastics.net>

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Package qrLMM updated to version 2.3 with previous version 2.2 dated 2022-10-25

Title: Quantile Regression for Linear Mixed-Effects Models
Description: Quantile regression (QR) for Linear Mixed-Effects Models via the asymmetric Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates and full inference results for the fixed-effects and variance components. It also provides graphical summaries for assessing the algorithm convergence and fitting results.
Author: Christian E. Galarza <cgalarza88@gmail.com> and Victor H. Lachos <hlachos@ime.unicamp.br>
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

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Package kayadata updated to version 1.4.0 with previous version 1.3.0 dated 2023-07-17

Title: Kaya Identity Data for Nations and Regions
Description: Provides data for Kaya identity variables (population, gross domestic product, primary energy consumption, and energy-related CO2 emissions) for the world and for individual nations, and utility functions for looking up data, plotting trends of Kaya variables, and plotting the fuel mix for a given country or region. The Kaya identity (Yoichi Kaya and Keiichi Yokobori, "Environment, Energy, and Economy: Strategies for Sustainability" (United Nations University Press, 1998) and <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's or region's greenhouse gas emissions in terms of its population, per-capita Gross Domestic Product, the energy intensity of its economy, and the carbon-intensity of its energy supply.
Author: Jonathan Gilligan [cre, aut]
Maintainer: Jonathan Gilligan <jonathan.gilligan@vanderbilt.edu>

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Package damAOI updated to version 0.1 with previous version 0.0 dated 2024-02-07

Title: Create an 'Area of Interest' Around a Constructed Dam for Comparative Impact Evaluations
Description: Define a spatial 'Area of Interest' (AOI) around a constructed dam using hydrology data. Dams have environmental and social impacts, both positive and negative. Current analyses of dams have no consistent way to specify at what spatial extent we should evaluate these impacts. 'damAOI' implements methods to adjust reservoir polygons to match satellite-observed surface water areas, plot upstream and downstream rivers using elevation data and accumulated river flow, and draw buffers clipped by river basins around reservoirs and relevant rivers. This helps to consistently determine the areas which could be impacted by dam construction, facilitating comparative analysis and informed infrastructure investments.
Author: Chris Littleboy [aut, cre] , Isabel Jones [ctb, fnd]
Maintainer: Chris Littleboy <chris.littleboy@stir.ac.uk>

Diff between damAOI versions 0.0 dated 2024-02-07 and 0.1 dated 2024-07-12

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New package SmithWilsonYieldCurve with initial version 1.1.1
Package: SmithWilsonYieldCurve
Title: Smith-Wilson Yield Curve Construction
Version: 1.1.1
Date: 2024-07-11
Description: Constructs a yield curve by the Smith-Wilson method from a table of libor and swap rates. Now updated to take bond coupons and prices in the same table.
License: GPL-3
Suggests: testthat
Packaged: 2024-07-11 06:53:34 UTC; philj
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-07-12 15:20:05 UTC
Author: Phil Joubert [aut, cre]
Maintainer: Phil Joubert <phil.joubert@gmail.com>

More information about SmithWilsonYieldCurve at CRAN
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New package SCIntRuler with initial version 0.99.6
Package: SCIntRuler
Title: Guiding the Integration of Multiple Single-Cell RNA-Seq Datasets
Version: 0.99.6
Maintainer: Yue Lyu <yuelyu0521@gmail.com>
Description: The accumulation of single-cell RNA-seq ('scRNA-seq') studies highlights the potential benefits of integrating multiple datasets. By augmenting sample sizes and enhancing analytical robustness, integration can lead to more insightful biological conclusions. However, challenges arise due to the inherent diversity and batch discrepancies within and across studies. 'SCIntRuler', a novel R package, addresses these challenges by guiding the integration of multiple 'scRNA-seq' datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, Matrix, batchelor, base, Seurat, SeuratObject, MatrixGenerics, SingleCellExperiment, SummarizedExperiment, dplyr, coin, harmony, ggplot2, gridExtra, cowplot, magrittr, stats
LinkingTo: Rcpp
URL: https://github.com/yuelyu21/SCIntRuler, https://yuelyu21.github.io/SCIntRuler/
BugReports: https://github.com/yuelyu21/SCIntRuler/issues
Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.3.0)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2024-07-11 06:55:10 UTC; a98455
Author: Yue Lyu [aut, cre]
Repository: CRAN
Date/Publication: 2024-07-12 15:20:08 UTC

More information about SCIntRuler at CRAN
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Package pdynmc updated to version 0.9.11 with previous version 0.9.10 dated 2023-11-24

Title: Moment Condition Based Estimation of Linear Dynamic Panel Data Models
Description: Linear dynamic panel data modeling based on linear and nonlinear moment conditions as proposed by Holtz-Eakin, Newey, and Rosen (1988) <doi:10.2307/1913103>, Ahn and Schmidt (1995) <doi:10.1016/0304-4076(94)01641-C>, and Arellano and Bover (1995) <doi:10.1016/0304-4076(94)01642-D>. Estimation of the model parameters relies on the Generalized Method of Moments (GMM) and instrumental variables (IV) estimation, numerical optimization (when nonlinear moment conditions are employed) and the computation of closed form solutions (when estimation is based on linear moment conditions). One-step, two-step and iterated estimation is available. For inference and specification testing, Windmeijer (2005) <doi:10.1016/j.jeconom.2004.02.005> and doubly corrected standard errors (Hwang, Kang, Lee, 2021 <doi:10.1016/j.jeconom.2020.09.010>) are available. Additionally, serial correlation tests, tests for overidentification, and Wald tests are provided. Functions for visualiz [...truncated...]
Author: Markus Fritsch [aut, cre], Joachim Schnurbus [aut], Andrew Adrian Yu Pua [aut]
Maintainer: Markus Fritsch <Markus.Fritsch@uni-Passau.de>

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Package multe updated to version 1.1.0 with previous version 1.0.1 dated 2024-06-19

Title: Multiple Treatment Effects Regression
Description: Implements contamination bias diagnostics and alternative estimators for regressions with multiple treatments. The implementation is based on Goldsmith-Pinkham, Hull, and Kolesár (2024) <doi:10.48550/arXiv.2106.05024>.
Author: Michal Kolesar [aut, cre] , Paul Goldsmith-Pinkham [ctb], Peter Hull [ctb]
Maintainer: Michal Kolesar <kolesarmi@googlemail.com>

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Package mlr3resampling updated to version 2024.7.7 with previous version 2024.7.3 dated 2024-07-05

Title: Resampling Algorithms for 'mlr3' Framework
Description: A supervised learning algorithm inputs a train set, and outputs a prediction function, which can be used on a test set. If each data point belongs to a group (such as geographic region, year, etc), then how do we know if it is possible to train on one group, and predict accurately on another group? Cross-validation can be used to determine the extent to which this is possible, by first assigning fold IDs from 1 to K to all data (possibly using stratification, usually by group and label). Then we loop over test sets (group/fold combinations), train sets (same group, other groups, all groups), and compute test/prediction accuracy for each combination. Comparing test/prediction accuracy between same and other, we can determine the extent to which it is possible (perfect if same/other have similar test accuracy for each group; other is usually somewhat less accurate than same; other can be just as bad as featureless baseline when the groups have different patterns). For more information, [...truncated...]
Author: Toby Hocking [aut, cre] , Michel Lang [ctb] , Bernd Bischl [ctb] , Jakob Richter [ctb] , Patrick Schratz [ctb] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [ctb], Florian Pfisterer [ctb] , Raphael Sonabend [ctb] , [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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New package governor with initial version 0.1.2
Package: governor
Title: Speed Limiter to Control Rate of Execution of Loops
Version: 0.1.2
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Speed limiter for controlling rate of execution of loops. It can be necessary to limit the rate of execution of a loop or repeated function call e.g. to show or gather data only at particular intervals. This package includes two methods for limiting this execution rate; speed governors and timers. A speed governor will insert pauses during execution to meet a user-specified loop time. Timers are alarm clocks which will indicate whether a certain time has passed. These mechanisms are implemented in 'C' to minimize processing overhead.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/coolbutuseless/governor
BugReports: https://github.com/coolbutuseless/governor/issues
NeedsCompilation: yes
Packaged: 2024-07-11 08:01:15 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-07-12 15:20:01 UTC

More information about governor at CRAN
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Package glmnetr updated to version 0.5-2 with previous version 0.5-1 dated 2024-05-12

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the 'path=TRUE' option when calling [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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New package WES with initial version 1.0.0
Package: WES
Title: Tools for Analyzing Wastewater and Environmental Sampling Data
Version: 1.0.0
Date: 2024-07-03
Description: Provides reproducible functions for collating and analyzing data from environmental sampling studies. Environmental Sampling (ES) of infectious diseases involves collecting samples from various sources (such as sewage, water, air, soil, or surfaces) to monitor the presence of pathogens in the environment. Analysis of ES data often requires the calculation of Real-Time Quantitative PCR (qPCR) variables, normalizing ES observations, and analyzing sampling site characteristics. To help reduce the complexity of these analyses we have implemented tools that assist with establishing standardized ES data formats, absolute and relative quantification of qPCR data, estimation of qPCR amplification efficiency, and collating open-source spatial data for sampling sites.
URL: https://www.r-wes.com/
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Imports: glue, foreach, data.table, dplyr, HDInterval, zoo, openmeteo, chirps, whitebox, exactextractr, elevatr, raster, sp, sf, rworldmap, stars, RCurl, XML, httr, jsonlite
Depends: R (>= 4.1.1), stats, graphics, grDevices, utils
Suggests: rmarkdown, rworldxtra, progress
NeedsCompilation: no
Packaged: 2024-07-11 02:31:38 UTC; johngiles
Author: John R Giles [aut, cre]
Maintainer: John R Giles <john.giles@gatesfoundation.org>
Repository: CRAN
Date/Publication: 2024-07-12 14:00:06 UTC

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New package tidygate with initial version 1.0.13
Package: tidygate
Title: Interactively Gate Points
Version: 1.0.13
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Description: Interactively gate points on a scatter plot. Interactively drawn gates are recorded and can be applied programmatically to reproduce results exactly. Programmatic gating is based on the package gatepoints by Wajid Jawaid (who is also an author of this package).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: utils, graphics, lifecycle, scales, magrittr, tibble, dplyr, purrr, rlang, tidyr, viridis, grDevices, RColorBrewer, stringr, shiny, plotly, ggplot2
Suggests: testthat, markdown, knitr, readr
VignetteBuilder: knitr
Biarch: true
URL: https://github.com/stemangiola/tidygate
BugReports: https://github.com/stemangiola/tidygate/issues
NeedsCompilation: no
Packaged: 2024-07-11 00:17:21 UTC; mangiola.s
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb], William Hutchison [aut]
Repository: CRAN
Date/Publication: 2024-07-12 13:30:01 UTC

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Package simpleboot updated to version 1.1-8 with previous version 1.1-7 dated 2019-02-20

Title: Simple Bootstrap Routines
Description: Simple bootstrap routines.
Author: Roger D. Peng <roger.peng@austin.utexas.edu>
Maintainer: Roger D. Peng <roger.peng@austin.utexas.edu>

Diff between simpleboot versions 1.1-7 dated 2019-02-20 and 1.1-8 dated 2024-07-12

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New package sdtmchecks with initial version 1.0.0
Package: sdtmchecks
Title: Data Quality Checks for Study Data Tabulation Model (SDTM) Datasets
Version: 1.0.0
Description: A series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.
License: Apache License (>= 2)
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: dplyr (>= 1.1.1), tidyselect, openxlsx
Suggests: knitr, rmarkdown (>= 2.7), testthat, DT
VignetteBuilder: knitr
URL: https://pharmaverse.github.io/sdtmchecks/, https://github.com/pharmaverse/sdtmchecks
BugReports: https://github.com/pharmaverse/sdtmchecks/issues
Repository: CRAN
NeedsCompilation: no
Packaged: 2024-07-11 01:33:03 UTC; harric17
Author: Will Harris [aut, cre], Sara Bodach [aut], Edgar Manukyan [aut], Adrian Waddell [aut], Ross Farrugia [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Will Harris <harric17@gene.com>
Date/Publication: 2024-07-12 13:50:02 UTC

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Package RCzechia updated to version 1.12.2 with previous version 1.12.0 dated 2023-10-29

Title: Spatial Objects of the Czech Republic
Description: Administrative regions and other spatial objects of the Czech Republic.
Author: Jindra Lacko [aut, cre] , Nick Bearman [rev]
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package bamdit updated to version 3.4.1 with previous version 3.4.0 dated 2022-04-04

Title: Bayesian Meta-Analysis of Diagnostic Test Data
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

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Package adestr updated to version 1.0.0 with previous version 0.5.0 dated 2023-09-27

Title: Estimation in Optimal Adaptive Two-Stage Designs
Description: Methods to evaluate the performance characteristics of various point and interval estimators for optimal adaptive two-stage designs as described in Meis et al. (2024) <doi:10.1002/sim.10020>. Specifically, this package is written to work with trial designs created by the 'adoptr' package (Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09>; Pilz et al. (2021) <doi:10.1002/sim.8953>)). Apart from the a priori evaluation of performance characteristics, this package also allows for the evaluation of the implemented estimators on real datasets, and it implements methods to calculate p-values.
Author: Jan Meis [aut, cre] , Martin Maechler [cph] .)
Maintainer: Jan Meis <meis@imbi.uni-heidelberg.de>

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Package ura updated to version 1.0.1 with previous version 1.0.0 dated 2023-09-13

Title: Monitoring Rater Reliability
Description: Provides researchers with a simple set of diagnostic tools for monitoring the progress and reliability of raters conducting content coding tasks. Goehring (2024) <https://bengoehring.github.io/improving-content-analysis-tools-for-working-with-undergraduate-research-assistants.pdf> argues that supervisors---especially supervisors of small teams---should utilize computational tools to monitor reliability in real time. As such, this package provides easy-to-use functions for calculating inter-rater reliability statistics and measuring the reliability of one coder compared to the rest of the team.
Author: Benjamin Goehring [aut, cre]
Maintainer: Benjamin Goehring <bengoehr@umich.edu>

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Package stgam updated to version 0.0.1.1 with previous version 0.0.1.0 dated 2024-06-25

Title: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
Description: A framework for specifying spatially, temporally and spatial-and-temporally varying coefficient models using Generalized Additive Models with Gaussian Process smooths. The smooths are parameterised with location and / or time attributes. Importantly the framework supports the investigation of the presence and nature of any space-time dependencies in the data, allows the user to evaluate different model forms (specifications) and to pick the most probable model or to combine multiple varying coefficient models using Bayesian Model Averaging. For more details see: Brunsdon et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.17>, Comber et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.22> and Comber et al (2024) <doi:10.1080/13658816.2023.2270285>.
Author: Lex Comber [aut, cre], Paul Harris [ctb], Chris Brunsdon [ctb]
Maintainer: Lex Comber <a.comber@leeds.ac.uk>

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Package hstats updated to version 1.2.0 with previous version 1.1.2 dated 2024-02-03

Title: Interaction Statistics
Description: Fast, model-agnostic implementation of different H-statistics introduced by Jerome H. Friedman and Bogdan E. Popescu (2008) <doi:10.1214/07-AOAS148>. These statistics quantify interaction strength per feature, feature pair, and feature triple. The package supports multi-output predictions and can account for case weights. In addition, several variants of the original statistics are provided. The shape of the interactions can be explored through partial dependence plots or individual conditional expectation plots. 'DALEX' explainers, meta learners ('mlr3', 'tidymodels', 'caret') and most other models work out-of-the-box.
Author: Michael Mayer [aut, cre] , Przemyslaw Biecek [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package fitdistrplus updated to version 1.2-1 with previous version 1.1-11 dated 2023-04-25

Title: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
Description: Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.
Author: Marie-Laure Delignette-Muller [aut] , Christophe Dutang [aut] , Regis Pouillot [ctb], Jean-Baptiste Denis [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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More information about fitdistrplus at CRAN
Permanent link

New package sampcompR with initial version 0.2.0
Package: sampcompR
Title: Comparing and Visualizing Differences Between Surveys
Version: 0.2.0
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). „Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Non-Probability Surveys with [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: boot, boot.pval, data.table, dplyr, forcats, furrr, future, ggplot2, Hmisc, lmtest, magrittr, psych, purrr, readr, reshape2, sandwich, stats, survey, svrep, tibble, tidyr,
Suggests: testthat (>= 3.0.0), wooldridge, jtools, utils, parallel
NeedsCompilation: no
Packaged: 2024-07-10 08:27:27 UTC; rohrbn
Author: Bjoern Rohr [aut, cre, cph]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>
Repository: CRAN
Date/Publication: 2024-07-12 11:20:03 UTC

More information about sampcompR at CRAN
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New package mergenstudio with initial version 1.0
Package: mergenstudio
Title: 'Mergen' Studio: An 'RStudio' Addin Wrapper for the 'Mergen' Package
Version: 1.0
Maintainer: Jacqueline Jansen <jacqueline-98@hotmail.com>
Description: An 'RStudio' Addin wrapper for the 'mergen' package. This package employs artificial intelligence to convert data analysis questions into executable code, explanations, and algorithms. This package makes it easier to use Large Language Models in your development environment by providing a chat-like interface, while also allowing you to inspect and execute the returned code.
License: MIT + file LICENSE
Depends: R (>= 4.0)
Imports: mergen, assertthat, bslib (>= 0.4.2), cli, colorspace, fontawesome, glue, grDevices, htmltools, htmlwidgets, httr2, ids, jsonlite, magrittr, purrr, rlang, rstudioapi (>= 0.12), shiny, shiny.i18n, shinyjs, shinyFiles, fs, stringr (>= 1.5.0), rvest, utils, waiter, yaml, rmarkdown, methods
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-07-10 11:35:56 UTC; jacquelinejansen
Author: Jacqueline Jansen [aut, cre], Artuer Manukyan [aut], Nour Alkhoury [aut], Altuna Akalin [aut]
Repository: CRAN
Date/Publication: 2024-07-12 11:30:02 UTC

More information about mergenstudio at CRAN
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New package drglm with initial version 1.0
Package: drglm
Title: Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets
Version: 1.0
Maintainer: Md. Mahadi Hassan Nayem <mhnayem.cu.stat@outlook.com>
Depends: R (>= 3.5.0)
Imports: nnet, speedglm, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: To overcome the memory limitations for fitting linear (LM) and Generalized Linear Models (GLMs) to large data sets, this package implements the Divide and Recombine (D&R) strategy. It basically divides the entire large data set into suitable subsets manageable in size and then fits model to each subset. Finally, results from each subset are aggregated to obtain the final estimate. This package also supports fitting GLMs to data sets that cannot fit into memory and provides methods for fitting GLMs under linear regression, binomial regression, Poisson regression, and multinomial logistic regression settings. Respective models are fitted using different D&R strategies as described by: Xi, Lin, and Chen (2009) <doi:10.1109/TKDE.2008.186>, Xi, Lin and Chen (2006) <doi:10.1109/TKDE.2006.196>, Zuo and Li (2018) <doi:10.4236/ojs.2018.81003>, Karim, M.R., Islam, M.A. (2019) <doi:10.1007/978-981-13-9776-9>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://nayemmh.github.io/drglm/
NeedsCompilation: no
Packaged: 2024-07-10 14:27:38 UTC; mhnay
Author: Md. Mahadi Hassan Nayem [aut, cre]
Repository: CRAN
Date/Publication: 2024-07-12 11:40:02 UTC

More information about drglm at CRAN
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New package docket with initial version 1.33
Package: docket
Title: Insert R Data into 'Word' Documents
Version: 1.33
Description: Populate data from an R environment into '.doc' and '.docx' templates. Create a template document in a program such as 'Word', and add strings encased in guillemet characters to create flags («example»). Use getDictionary() to create a dictionary of flags and replacement values, then call docket() to generate a populated document.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr, XML, xml2, zip
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/JonathanConrad98/docket
BugReports: https://github.com/JonathanConrad98/docket/issues
NeedsCompilation: no
Packaged: 2024-07-10 20:48:35 UTC; Jonra
Author: Jonathan Conrad [aut, cre], Ian Conrad [ctb]
Maintainer: Jonathan Conrad <JonathanGConrad@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-12 11:50:02 UTC

More information about docket at CRAN
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New package CPoptim with initial version 0.1.0
Package: CPoptim
Title: Convex Partition Optimisation
Version: 0.1.0
Author: Erick G.G. de Paz [aut, cre] , Humberto Vaquera Huerta [aut] , Francisco Javier Albores Velasco [aut] , John R. Bauer Mengelberg [aut] , Juan Manuel Romero Padilla [aut]
Maintainer: Erick G.G. de Paz <giles.erick@colpos.mx>
Description: Convex Partition is a black-box optimisation algorithm for single objective real-parameters functions. The basic principle is to progressively estimate and exploit a regression tree similar to a CART (Classification and Regression Tree) of the objective function. For more details see 'de Paz' (2024) <doi:10.1007/978-3-031-62836-8_3> and 'Loh' (2011) <doi:10.1002/widm.8> .
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Date: 2024-07-07
Depends: R (>= 2.10.0)
Packaged: 2024-07-10 00:04:28 UTC; erickdepaz
Date/Publication: 2024-07-12 11:10:02 UTC

More information about CPoptim at CRAN
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Package duckplyr updated to version 0.4.1 with previous version 0.4.0 dated 2024-05-21

Title: A 'DuckDB'-Backed Version of 'dplyr'
Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Also defines a set of generics that provide a low-level implementer's interface for the high-level user interface of 'dplyr'.
Author: Hannes Muehleisen [aut] , Kirill Mueller [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckplyr versions 0.4.0 dated 2024-05-21 and 0.4.1 dated 2024-07-12

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More information about duckplyr at CRAN
Permanent link

Package deseats updated to version 1.1.0 with previous version 1.0.0 dated 2023-11-08

Title: Data-Driven Locally Weighted Regression for Trend and Seasonality in TS
Description: Various methods for the identification of trend and seasonal components in time series (TS) are provided. Among them is a data-driven locally weighted regression approach with automatically selected bandwidth for equidistant short-memory time series. The approach is a combination / extension of the algorithms by Feng (2013) <doi:10.1080/02664763.2012.740626> and Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598> and a brief description of this new method is provided in the package documentation. Furthermore, the package allows its users to apply the base model of the Berlin procedure, version 4.1, as described in Speth (2004) <https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>. Permission to include this procedure was kindly provided by the Federal Statistical Office of Germany.
Author: Yuanhua Feng [aut] , Dominik Schulz [aut, cre]
Maintainer: Dominik Schulz <dominik.schulz@uni-paderborn.de>

Diff between deseats versions 1.0.0 dated 2023-11-08 and 1.1.0 dated 2024-07-12

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More information about deseats at CRAN
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Package WeibullR.shiny updated to version 0.2.1 with previous version 0.2.0 dated 2023-10-18

Title: A 'Shiny' App for Weibull Analysis from 'WeibullR'
Description: A 'Shiny' web application for life data analysis that depends on 'WeibullR' by David Silkworth and Jurgen Symynck (2022) <https://CRAN.R-project.org/package=WeibullR>, an R package for Weibull analysis.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

Diff between WeibullR.shiny versions 0.2.0 dated 2023-10-18 and 0.2.1 dated 2024-07-12

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More information about WeibullR.shiny at CRAN
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Package CodelistGenerator updated to version 3.1.0 with previous version 3.0 dated 2024-05-31

Title: Identify Relevant Clinical Codes and Evaluate Their Use
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre] , Marti Catala [ctb] , Xihang Chen [ctb] , Mike Du [ctb] , Danielle Newby [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CodelistGenerator versions 3.0 dated 2024-05-31 and 3.1.0 dated 2024-07-12

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Package BayesianNetwork updated to version 0.3.2 with previous version 0.3 dated 2023-06-26

Title: Bayesian Network Modeling and Analysis
Description: A "Shiny"" web application for creating interactive Bayesian Network models, learning the structure and parameters of Bayesian networks, and utilities for classic network analysis.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Thu, 11 Jul 2024

Package eSDM updated to version 0.4.2 with previous version 0.4.1 dated 2024-02-14

Title: Ensemble Tool for Predictions from Species Distribution Models
Description: A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.
Author: Sam Woodman [aut, cre]
Maintainer: Sam Woodman <sam.woodman@noaa.gov>

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Package PAMpal updated to version 1.2.1 with previous version 1.0.0 dated 2023-08-11

Title: Load and Process Passive Acoustic Data
Description: Tools for loading and processing passive acoustic data. Read in data that has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a suite processing functions, and export data for reports or external modeling tools. Parameter calculations implement methods by Oswald et al (2007) <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Emily Griffiths [ctb], Michael Oswald [ctb], Simone Baumann-Pickering [ctb], Julie Oswald [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package ltable updated to version 2.0.4 with previous version 2.0.3 dated 2023-08-16

Title: Easy to Make (Lazy) Tables
Description: Constructs tables of counts and proportions out of data sets with possibility to insert tables to Excel, Word, HTML, and PDF documents. Transforms tables to data suitable for modelling. Features Gibbs sampling based log-linear (NB2) and power analyses (original by Oleksandr Ocheredko <doi:10.35566/isdsa2019c5>) for tabulated data.
Author: Ocheredko Oleksandr
Maintainer: Ocheredko Oleksandr <Ocheredko@yahoo.com>

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Package genieBPC updated to version 2.0.1 with previous version 1.1.1 dated 2024-03-29

Title: Project GENIE BioPharma Collaborative Data Processing Pipeline
Description: The American Association Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) BioPharma Collaborative represents a multi-year, multi-institution effort to build a pan-cancer repository of linked clinico-genomic data. The genomic and clinical data are provided in multiple releases (separate releases for each cancer cohort with updates following data corrections), which are stored on the data sharing platform 'Synapse' <https://www.synapse.org/>. The 'genieBPC' package provides a seamless way to obtain the data corresponding to each release from 'Synapse' and to prepare datasets for analysis.
Author: Jessica A. Lavery [aut, cre] , Michael A. Curry [aut] , Samantha Brown [aut] , Karissa Whiting [aut] , Hannah Fuchs [aut] , Axel Martin [aut], Daniel D. Sjoberg [ctb]
Maintainer: Jessica A. Lavery <laveryj@mskcc.org>

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Package spaths updated to version 1.1.3 with previous version 1.1.2 dated 2024-05-30

Title: Shortest Paths Between Points in Grids
Description: Shortest paths between points in grids. Optional barriers and custom transition functions. Applications regarding planet Earth, as well as generally spheres and planes. Optimized for computational performance, customizability, and user friendliness. Graph-theoretical implementation tailored to gridded data. Currently focused on Dijkstra's (1959) <doi:10.1007/BF01386390> algorithm. Future updates broaden the scope to other least cost path algorithms and to centrality measures.
Author: Christian Dueben [aut, cre]
Maintainer: Christian Dueben <cdueben.ml+cran@proton.me>

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Package samc updated to version 3.3.0 with previous version 3.2.1 dated 2023-05-09

Title: Spatial Absorbing Markov Chains
Description: Implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.
Author: Andrew Marx [aut, cre, cph] , Robert Fletcher [ctb] , Miguel Acevedo [ctb] , Jorge Sefair [ctb] , Chao Wang [ctb] , Hughes Josie [ctb] , Barrett Griffin [ctb]
Maintainer: Andrew Marx <ajm.rpackages@gmail.com>

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Package mstate updated to version 0.3.3 with previous version 0.3.2 dated 2021-11-08

Title: Data Preparation, Estimation and Prediction in Multi-State Models
Description: Contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models, see Putter, Fiocco, Geskus (2007) <doi:10.1002/sim.2712>.
Author: Hein Putter [aut, cre], Liesbeth C. de Wreede [aut], Marta Fiocco [aut], Ronald B. Geskus [ctb], Edouard F. Bonneville [aut], Damjan Manevski [ctb]
Maintainer: Hein Putter <H.Putter@lumc.nl>

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Package rmdHelpers updated to version 1.3.1 with previous version 1.2 dated 2016-07-11

Title: Helper Functions for Rmd Documents
Description: A series of functions to aid in repeated tasks for Rmd documents. All details are to my personal preference, though I am happy to add flexibility if there are use cases I am missing. I will continue updating with new functions as I add utility functions for myself.
Author: Mark Peterson
Maintainer: Mark Peterson <mark.phillip.peterson@gmail.com>

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Package isnullptr updated to version 1.0.2 with previous version 1.0.1 dated 2017-09-28

Title: Check if an 'externalptr' is a Null Pointer
Description: Check if an 'externalptr' is a null pointer. R does currently not have a native function for that purpose. This package contains a C function that returns TRUE in case of a null pointer.
Author: Jonas Foerster [aut, cre]
Maintainer: Jonas Foerster <jonasfoerster@gmail.com>

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Package rfacebookstat updated to version 2.11.0 with previous version 2.10.0 dated 2024-01-25

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package mvtsplot updated to version 1.0-5 with previous version 1.0-4 dated 2022-05-10

Title: Multivariate Time Series Plot
Description: A function for plotting multivariate time series data.
Author: Roger D. Peng <roger.peng@austin.utexas.edu>
Maintainer: Roger D. Peng <roger.peng@austin.utexas.edu>

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Package metap updated to version 1.11 with previous version 1.10 dated 2024-04-15

Title: Meta-Analysis of Significance Values
Description: The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and routines for graphical display.
Author: Michael Dewey [aut, cre]
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

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Package CICA updated to version 1.1.0 with previous version 1.0.2 dated 2024-02-05

Title: Clusterwise Independent Component Analysis
Description: Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.
Author: Jeffrey Durieux [aut, cre], Tom Wilderjans [aut], Juan Claramunt Gonzalez [ctb]
Maintainer: Jeffrey Durieux <durieux.jeffrey@gmail.com>

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Package RCurl updated to version 1.98-1.16 with previous version 1.98-1.14 dated 2024-01-09

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between RCurl versions 1.98-1.14 dated 2024-01-09 and 1.98-1.16 dated 2024-07-11

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New package quantspec with initial version 1.2-4
Package: quantspec
Version: 1.2-4
Encoding: UTF-8
Date: 2024-07-10
Title: Quantile-Based Spectral Analysis of Time Series
Depends: R (>= 3.0.0), stats4
Suggests: testthat
Imports: methods, graphics, quantreg, abind, zoo, snowfall, Rcpp (>= 0.11.0)
Description: Methods to determine, smooth and plot quantile periodograms for univariate and multivariate time series. See Kley (2016) <doi:10.18637/jss.v070.i03> for a description and tutorial.
License: GPL (>= 2)
URL: https://github.com/tobiaskley/quantspec
BugReports: https://github.com/tobiaskley/quantspec/issues
LazyData: TRUE
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-07-10 13:05:01 UTC; tkley
Author: Tobias Kley [aut, cre], Stefan Birr [ctb]
Maintainer: Tobias Kley <tobias.kley@uni-goettingen.de>
Repository: CRAN
Date/Publication: 2024-07-11 12:50:02 UTC

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Package openalexR updated to version 1.4.0 with previous version 1.3.1 dated 2024-05-08

Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://docs.openalex.org>.
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package datawizard updated to version 0.12.0 with previous version 0.11.0 dated 2024-06-05

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] , Etienne Bacher [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Remi Theriault [ctb] , Thomas J. Faulkenberry [rev], Robert Garrett [rev]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package catregs updated to version 0.2.1 with previous version 0.2.0 dated 2024-06-11

Title: Post-Estimation Functions for Generalized Linear Mixed Models
Description: Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).
Author: David Melamed [aut, cre]
Maintainer: David Melamed <dmmelamed@gmail.com>

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Package spant updated to version 2.22.0 with previous version 2.21.0 dated 2024-05-30

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package disaggR updated to version 1.0.5.3 with previous version 1.0.5.2 dated 2024-02-09

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time series with higher frequency time series, using the French National Accounts methodology. The aggregated sum of the resulting time series is strictly equal to the low-frequency time series within the benchmarking window. Typically, the low-frequency time series is an annual one, unknown for the last year, and the high frequency one is either quarterly or monthly. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).
Author: Arnaud Feldmann [aut] , Pauline Meinzel [cre], Thomas Laurent [ctb] , Franck Arnaud [ctb] , Institut national de la statistique et des etudes economiques [cph]
Maintainer: Pauline Meinzel <pauline.meinzel@insee.fr>

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Wed, 10 Jul 2024

New package rnaCrosslinkOO with initial version 0.1.4
Package: rnaCrosslinkOO
Title: Analysis of RNA Crosslinking Data
Version: 0.1.4
Maintainer: Jonathan Price <jlp76@cam.ac.uk>
Description: Analysis of RNA crosslinking data for RNA structure prediction. The package is suitable for the analysis of RNA structure cross-linking data and chemical probing data.
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/JLP-BioInf/rnaCrosslinkOO/issues
Depends: seqinr, GenomicRanges, stats
Imports: ggplot2, reshape2, MASS, mixtools, utils, S4Vectors, patchwork, doParallel, igraph, R4RNA, RColorBrewer, IRanges, foreach,grDevices, heatmap3, TopDom, tidyverse, RRNA, ggrepel, methods, parallel, ClassDiscovery
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-10 15:59:22 UTC; jp
Author: Jonathan Price [aut, cre] , Andrew Lim [ctb]
Repository: CRAN
Date/Publication: 2024-07-10 23:40:02 UTC

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Package leidenbase updated to version 0.1.30 with previous version 0.1.27 dated 2023-12-01

Title: R and C/C++ Wrappers to Run the Leiden find_partition() Function
Description: An R to C/C++ interface that runs the Leiden community detection algorithm to find a basic partition (). It runs the equivalent of the 'leidenalg' find_partition() function, which is given in the 'leidenalg' distribution file 'leiden/src/functions.py'. This package includes the required source code files from the official 'leidenalg' distribution and functions from the R 'igraph' package. The 'leidenalg' distribution is available from <https://github.com/vtraag/leidenalg/> and the R 'igraph' package is available from <https://igraph.org/r/>. The Leiden algorithm is described in the article by Traag et al. (2019) <doi:10.1038/s41598-019-41695-z>. Leidenbase includes code from the packages: igraph version 0.9.8 with license GPL (>= 2), leidenalg version 0.8.10 with license GPL 3.
Author: Brent Ewing [aut, cre], Vincent Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Szabolcs Horvat [ctb], Fabio Zanini [ctb]
Maintainer: Brent Ewing <bge@uw.edu>

Diff between leidenbase versions 0.1.27 dated 2023-12-01 and 0.1.30 dated 2024-07-10

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Package JSDNE updated to version 4.3.4 with previous version 4.3.2 dated 2024-04-16

Title: Estimating the Age using Auricular Surface by DNE
Description: The age is estimated by calculating the Dirichlet Normal Energy (DNE) on the whole auricular surface and the apex of the auricular surface. It involves three estimation methods: principal component discriminant analysis (PCQDA), principal component regression analysis (PCR), and principal component logistic regression analysis (PCLR) methods. The package is created with the data from the Louis Lopes Collection in Lisbon, the 21st Century Identified Human Remains Collection in Coimbra, and the CAL Milano Cemetery Skeletal Collection in Milan.
Author: Jisun Jang [aut, cre]
Maintainer: Jisun Jang <jisun.jang.19@ucl.ac.uk>

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Package report updated to version 0.5.9 with previous version 0.5.8 dated 2023-12-07

Title: Automated Reporting of Results and Statistical Models
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Author: Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Remi Theriault [aut, cre] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Rudolf Siegel [ctb] , Camden Bock [ctb]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

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Package ggplate updated to version 0.1.4 with previous version 0.1.2 dated 2024-06-14

Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

Diff between ggplate versions 0.1.2 dated 2024-06-14 and 0.1.4 dated 2024-07-10

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New package PurpleAir with initial version 1.0.0
Package: PurpleAir
Title: Query the 'PurpleAir' Application Programming Interface
Version: 1.0.0
Description: Send requests to the 'PurpleAir' Application Programming Interface (API; <https://community.purpleair.com/c/data/api/18>). Check a 'PurpleAir' API key and get information about the related organization. Download real-time data from a single 'PurpleAir' sensor or many sensors by sensor identifier, geographical bounding box, or time since modified. Download historical data from a single sensor.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: sf, testthat (>= 3.0.0)
URL: https://github.com/cole-brokamp/PurpleAir
BugReports: https://github.com/cole-brokamp/PurpleAir/issues
Imports: httr2, purrr, tibble, rlang, cli, dplyr, glue
NeedsCompilation: no
Packaged: 2024-07-09 18:27:07 UTC; cole
Author: Cole Brokamp [aut, cre, cph]
Maintainer: Cole Brokamp <cole@colebrokamp.com>
Repository: CRAN
Date/Publication: 2024-07-10 16:50:05 UTC

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New package exams.forge with initial version 1.0.10
Package: exams.forge
Title: Support for Compiling Examination Tasks using the 'exams' Package
Version: 1.0.10
Date: 2024-07-08
Description: The main aim is to further facilitate the creation of exercises based on the package 'exams' by Grün, B., and Zeileis, A. (2009) <doi:10.18637/jss.v029.i10>. Creating effective student exercises involves challenges such as creating appropriate data sets and ensuring access to intermediate values for accurate explanation of solutions. The functionality includes the generation of univariate and bivariate data including simple time series, functions for theoretical distributions and their approximation, statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.
License: GPL-3
LazyData: true
Depends: R (>= 3.5.0), tools, polynom
Imports: base64enc, extraDistr, exams, knitr, MASS, methods, magrittr, psych, rjson, rstudioapi, spelling, stringdist, stringr, stranslate, tinytex, utils, xml2, xtable, yaml
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2024-07-09 09:29:52 UTC; sigbert
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>
Repository: CRAN
Date/Publication: 2024-07-10 16:40:02 UTC

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Package crew.cluster updated to version 0.3.2 with previous version 0.3.1 dated 2024-04-24

Title: Crew Launcher Plugins for Traditional High-Performance Computing Clusters
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Michael Gilbert Levin [aut] , Brendan Furneaux [aut] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew.cluster versions 0.3.1 dated 2024-04-24 and 0.3.2 dated 2024-07-10

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Package crew.aws.batch updated to version 0.0.6 with previous version 0.0.5 dated 2024-02-07

Title: A Crew Launcher Plugin for AWS Batch
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.aws.batch' package extends the 'mirai'-powered 'crew' package with a worker launcher plugin for AWS Batch. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew.aws.batch versions 0.0.5 dated 2024-02-07 and 0.0.6 dated 2024-07-10

 DESCRIPTION                          |   10 +++++-----
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 9 files changed, 32 insertions(+), 18 deletions(-)

More information about crew.aws.batch at CRAN
Permanent link

New package checked with initial version 0.1.0
Package: checked
Title: Systematically Run R CMD Checks
Version: 0.1.0
Description: Systematically Run R checks against multiple packages. Checks are run in parallel with strategies to minimize dependency installation. Provides out of the box interface for running reverse dependency check.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: callr, cli, igraph, jsonlite, R6, rcmdcheck, utils (>= 3.6.2), tools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-07-08 23:38:16 UTC; maksymis
Author: Szymon Maksymiuk [cre, aut] , Doug Kelkhoff [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-10 16:30:02 UTC

More information about checked at CRAN
Permanent link

New package amscorer with initial version 0.1.0
Package: amscorer
Title: Clinical Scores Calculator for Healthcare
Version: 0.1.0
Description: Provides functions to compute various clinical scores used in healthcare. These include the Charlson Comorbidity Index (CCI), predicting 10-year survival in patients with multiple comorbidities; the EPICES score, an individual indicator of precariousness considering its multidimensional nature; the MELD score for chronic liver disease severity; the Alternative Fistula Risk Score (a-FRS) for postoperative pancreatic fistula risk; and the Distal Pancreatectomy Fistula Risk Score (D-FRS) for risk following distal pancreatectomy. For detailed methodology, refer to Charlson et al. (1987) <doi:10.1016/0021-9681(87)90171-8> , Sass et al. (2006) <doi:10.1007/s10332-006-0131-5>, Kamath et al. (2001) <doi:10.1053/jhep.2001.22172>, Kim et al. (2008) <doi:10.1056/NEJMoa0801209> Kim et al. (2021) <doi:10.1053/j.gastro.2021.08.050>, Mungroop et al. (2019) <doi:10.1097/SLA.0000000000002620>, and de Pastena et al. (2023) <doi:10.1097/SLA.0000000000005497>..
Imports: stats
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-09 15:54:24 UTC; amadousow
Author: Amadou Khalilou Sow [aut, cre]
Maintainer: Amadou Khalilou Sow <kkhalilou.sow@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-10 16:50:02 UTC

More information about amscorer at CRAN
Permanent link

Package rhino updated to version 1.9.0 with previous version 1.8.0 dated 2024-06-06

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
Author: Kamil Zyla [aut, cre], Jakub Nowicki [aut], Leszek Sieminski [aut], Marek Rogala [aut], Recle Vibal [aut], Tymoteusz Makowski [aut], Rodrigo Basa [aut], Eduardo Almeida [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>

Diff between rhino versions 1.8.0 dated 2024-06-06 and 1.9.0 dated 2024-07-10

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More information about rhino at CRAN
Permanent link

Package ipumsr updated to version 0.8.0 with previous version 0.7.2 dated 2024-03-12

Title: An R Interface for Downloading, Reading, and Handling IPUMS Data
Description: An easy way to work with census, survey, and geographic data provided by IPUMS in R. Generate and download data through the IPUMS API and load IPUMS files into R with their associated metadata to make analysis easier. IPUMS data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from the IPUMS website <https://www.ipums.org>.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Finn Roberts [aut], Joe Grover [ctb], Dan Ehrlich [ctb], Renae Rodgers [ctb], Institute for Social Research and Data Innovation [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

Diff between ipumsr versions 0.7.2 dated 2024-03-12 and 0.8.0 dated 2024-07-10

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More information about ipumsr at CRAN
Permanent link

Package rebmix updated to version 2.16.0 with previous version 2.15.0 dated 2023-07-16

Title: Finite Mixture Modeling, Clustering & Classification
Description: Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.
Author: Marko Nagode [aut, cre] , Branislav Panic [ctb] , Jernej Klemenc [ctb] , Simon Oman [ctb]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

Diff between rebmix versions 2.15.0 dated 2023-07-16 and 2.16.0 dated 2024-07-10

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More information about rebmix at CRAN
Permanent link

Package migrate updated to version 0.5.0 with previous version 0.4.0 dated 2021-10-15

Title: Create Credit State Migration (Transition) Matrices
Description: Tools to help convert credit risk data at two timepoints into traditional credit state migration (aka, "transition") matrices. At a higher level, 'migrate' is intended to help an analyst understand how risk moved in their credit portfolio over a time interval. References to this methodology include: 1. Schuermann, T. (2008) <doi:10.1002/9780470061596.risk0409>. 2. Perederiy, V. (2017) <doi:10.48550/arXiv.1708.00062>.
Author: Michael Thomas [aut, cre], Brad Lindblad [ctb], Ivan Millanes [ctb]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>

Diff between migrate versions 0.4.0 dated 2021-10-15 and 0.5.0 dated 2024-07-10

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More information about migrate at CRAN
Permanent link

Package ClusterVAR updated to version 0.0.7 with previous version 0.0.6 dated 2024-06-06

Title: Fitting Latent Class Vector-Autoregressive (VAR) Models
Description: Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of lags and clusters.
Author: Anja Ernst [aut, cre], Jonas Haslbeck [aut]
Maintainer: Anja Ernst <a.f.ernst@rug.nl>

Diff between ClusterVAR versions 0.0.6 dated 2024-06-06 and 0.0.7 dated 2024-07-10

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More information about ClusterVAR at CRAN
Permanent link

Package ebvcube updated to version 0.2.3 with previous version 0.2.1 dated 2024-06-11

Title: Working with netCDF for Essential Biodiversity Variables
Description: The concept of Essential Biodiversity Variables (EBV, <https://geobon.org/ebvs/what-are-ebvs/>) comes with a data structure based on the Network Common Data Form (netCDF). The 'ebvcube' 'R' package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.
Author: Luise Quoss [aut, cre] , Nestor Fernandez [aut] , Christian Langer [aut] , Jose Valdez [aut] , Henrique Miguel Pereira [aut]
Maintainer: Luise Quoss <luise.quoss@idiv.de>

Diff between ebvcube versions 0.2.1 dated 2024-06-11 and 0.2.3 dated 2024-07-10

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Package RRNA updated to version 1.2 with previous version 1.1 dated 2024-05-15

Title: Secondary Structure Plotting for RNA
Description: Functions for creating and manipulating RNA secondary structure plots.
Author: JP Bida [aut], Jonathan Price [cre, ctb]
Maintainer: Jonathan Price <jlp76@cam.ac.uk>

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Package Epi updated to version 2.52 with previous version 2.51 dated 2024-06-12

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package bimets updated to version 4.0.1 with previous version 3.0.2 dated 2023-12-13

Title: Time Series and Econometric Modeling
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, rational expectations, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.
Author: Andrea Luciani [aut, cre] , Roberto Stok [aut], Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>

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Package sotkanet updated to version 0.10.1 with previous version 0.9.79 dated 2022-02-01

Title: Sotkanet Open Data Access and Analysis
Description: Access statistical information on welfare and health in Finland from the Sotkanet open data portal <https://sotkanet.fi/sotkanet/fi/index>.
Author: Leo Lahti [aut, cre] , Einari Happonen [aut], Joona Lehtomaki [ctb], Juuso Parkkinen [ctb], Vesa Saaristo [ctb], Pyry Kantanen [aut] , Aleksi Lahtinen [aut]
Maintainer: Leo Lahti <leo.lahti@iki.fi>

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Package gm updated to version 2.0.0 with previous version 1.0.2 dated 2021-04-17

Title: Create Music with Ease
Description: Provides a simple and intuitive high-level language for music representation. Generates and embeds music scores and audio files in 'RStudio', 'R Markdown' documents, and R 'Jupyter Notebooks'. Internally, uses 'MusicXML' <https://github.com/w3c/musicxml> to represent music, and 'MuseScore' <https://musescore.org/> to convert 'MusicXML'.
Author: Renfei Mao
Maintainer: Renfei Mao <renfeimao@gmail.com>

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Package rsgeo updated to version 0.1.7 with previous version 0.1.6 dated 2023-09-08

Title: An Interface to Rust's 'geo' Library
Description: An R interface to the GeoRust crates 'geo' and 'geo-types' providing access to geometry primitives and algorithms.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between rsgeo versions 0.1.6 dated 2023-09-08 and 0.1.7 dated 2024-07-10

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Package joyn updated to version 0.2.2 with previous version 0.2.0 dated 2024-03-29

Title: Tool for Diagnosis of Tables Joins and Complementary Join Features
Description: Tool for diagnosing table joins. It combines the speed of `collapse` and `data.table`, the flexibility of `dplyr`, and the diagnosis and features of the `merge` command in `Stata`.
Author: R.Andres Castaneda [aut, cre], Zander Prinsloo [aut], Rossana Tatulli [aut]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>

Diff between joyn versions 0.2.0 dated 2024-03-29 and 0.2.2 dated 2024-07-10

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Package exams updated to version 2.4-1 with previous version 2.4-0 dated 2022-10-17

Title: Automatic Generation of Exams in R
Description: Automatic generation of exams based on exercises in Markdown or LaTeX format, possibly including R code for dynamic generation of exercise elements. Exercise types include single-choice and multiple-choice questions, arithmetic problems, string questions, and combinations thereof (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT, ...), Moodle XML, QTI 1.2, QTI 2.1, Blackboard, Canvas, OpenOlat, ILIAS, TestVision, Particify, ARSnova, Kahoot!, Grasple, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format (NOPS) is provided that can be printed, scanned, and automatically evaluated.
Author: Achim Zeileis [aut, cre] , Bettina Gruen [aut] , Friedrich Leisch [aut] , Nikolaus Umlauf [aut], Mirko Birbaumer [ctb], Dominik Ernst [ctb], Patrik Keller [ctb], Niels Smits [ctb] , Reto Stauffer [ctb], Kenji Sato [ctb], Florian Wickelmaier [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between exams versions 2.4-0 dated 2022-10-17 and 2.4-1 dated 2024-07-10

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Package arcpbf updated to version 0.1.3 with previous version 0.1.2 dated 2024-07-05

Title: Process ArcGIS Protocol Buffer FeatureCollections
Description: Fast processing of ArcGIS FeatureCollection protocol buffers in R. It is designed to work seamlessly with 'httr2' and integrates with 'sf'.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcpbf versions 0.1.2 dated 2024-07-05 and 0.1.3 dated 2024-07-10

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Package rpdo (with last version 0.3.2) was removed from CRAN

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

2023-08-22 0.3.2
2020-07-09 0.3.1
2020-03-04 0.3.0
2018-11-17 0.2.5
2018-08-15 0.2.4
2018-01-31 0.2.3
2017-04-12 0.2.2
2017-01-01 0.2.1
2016-05-06 0.2.0
2016-04-02 0.1.2
2016-01-11 0.1.1
2015-10-19 0.1.0
2015-08-21 0.0.1

Permanent link
Package Apoderoides updated to version 3.0.0 with previous version 2.0.1 dated 2024-06-19

Title: Prioritize and Delete Erroneous Taxa in a Large Phylogenetic Tree
Description: Finds, prioritizes and deletes erroneous taxa in a phylogenetic tree. This package calculates scores for taxa in a tree. Higher score means the taxon is more erroneous. If the score is zero for a taxon, the taxon is not erroneous. This package also can remove all erroneous taxa automatically by iterating score calculation and pruning taxa with the highest score.
Author: Satoshi Aoki [aut, cph, cre], Keita Fukasawa [ctb]
Maintainer: Satoshi Aoki <aokis1ll1@gmail.com>

Diff between Apoderoides versions 2.0.1 dated 2024-06-19 and 3.0.0 dated 2024-07-10

 DESCRIPTION            |   13 +--
 MD5                    |   18 ++--
 NEWS                   |    3 
 R/Apoderoides.R        |  200 ++++++++++++++++++++++++++++++++++++++++---------
 inst/doc/vignette.Rmd  |    2 
 inst/doc/vignette.html |   34 ++++----
 man/autoDeletion.Rd    |   15 ++-
 man/calc.Score.Rd      |   13 +--
 man/deleteAnomaly.Rd   |    2 
 vignettes/vignette.Rmd |    2 
 10 files changed, 221 insertions(+), 81 deletions(-)

More information about Apoderoides at CRAN
Permanent link

Tue, 09 Jul 2024

Package duckdb updated to version 1.0.0-1 with previous version 1.0.0 dated 2024-06-13

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and a R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckdb versions 1.0.0 dated 2024-06-13 and 1.0.0-1 dated 2024-07-09

 duckdb-1.0.0-1/duckdb/DESCRIPTION                                              |    8 
 duckdb-1.0.0-1/duckdb/MD5                                                      |   82 +-
 duckdb-1.0.0-1/duckdb/NEWS.md                                                  |    9 
 duckdb-1.0.0-1/duckdb/R/Connection.R                                           |    4 
 duckdb-1.0.0-1/duckdb/R/Driver.R                                               |    2 
 duckdb-1.0.0-1/duckdb/R/Result.R                                               |    2 
 duckdb-1.0.0-1/duckdb/R/dbConnect__duckdb_driver.R                             |    3 
 duckdb-1.0.0-1/duckdb/R/dbExistsTable__duckdb_connection_ANY.R                 |only
 duckdb-1.0.0-1/duckdb/R/dbGetInfo__duckdb_connection.R                         |    1 
 duckdb-1.0.0-1/duckdb/R/dbGetInfo__duckdb_driver.R                             |    1 
 duckdb-1.0.0-1/duckdb/R/dbGetInfo__duckdb_result.R                             |    1 
 duckdb-1.0.0-1/duckdb/R/dbWriteTable__duckdb_connection_character_data.frame.R |    1 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11.hpp                                   |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/R.hpp                                 |   23 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/altrep.hpp                            |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/as.hpp                                |  331 +++++-----
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/attribute_proxy.hpp                   |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/data_frame.hpp                        |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/declarations.hpp                      |   15 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/doubles.hpp                           |   27 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/environment.hpp                       |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/external_pointer.hpp                  |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/function.hpp                          |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/integers.hpp                          |   29 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/list.hpp                              |    6 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/list_of.hpp                           |   12 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/logicals.hpp                          |   19 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/matrix.hpp                            |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/named_arg.hpp                         |    4 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/protect.hpp                           |  193 +----
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/r_bool.hpp                            |   11 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/r_string.hpp                          |   11 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/r_vector.hpp                          |   30 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/raws.hpp                              |   21 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/sexp.hpp                              |   15 
 duckdb-1.0.0-1/duckdb/inst/include/cpp11/strings.hpp                           |    7 
 duckdb-1.0.0-1/duckdb/man/duckdb.Rd                                            |    5 
 duckdb-1.0.0-1/duckdb/man/duckdb_connection-class.Rd                           |   16 
 duckdb-1.0.0-1/duckdb/man/duckdb_driver-class.Rd                               |    6 
 duckdb-1.0.0-1/duckdb/man/duckdb_read_csv.Rd                                   |    2 
 duckdb-1.0.0-1/duckdb/man/duckdb_result-class.Rd                               |    6 
 duckdb-1.0.0-1/duckdb/src/rfuns.cpp                                            |    6 
 duckdb-1.0.0/duckdb/R/dbExistsTable__duckdb_connection_character.R             |only
 43 files changed, 454 insertions(+), 487 deletions(-)

More information about duckdb at CRAN
Permanent link

Package gt updated to version 0.11.0 with previous version 0.10.1 dated 2024-01-17

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] , Joe Cheng [aut], Barret Schloerke [aut] , Ellis Hughes [aut] , Alexandra Lauer [aut] , JooYoung Seo [aut] , Ken Brevoort [aut] , Olivier Roy [aut], Posit Software, PBC [cph, fnd]
Maintainer: Richard Iannone <rich@posit.co>

Diff between gt versions 0.10.1 dated 2024-01-17 and 0.11.0 dated 2024-07-09

 gt-0.10.1/gt/man/define_units.Rd                          |only
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 gt-0.11.0/gt/NAMESPACE                                    |   62 
 gt-0.11.0/gt/NEWS.md                                      |  128 
 gt-0.11.0/gt/R/build_data.R                               |    2 
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 gt-0.11.0/gt/R/data_color.R                               |  176 
 gt-0.11.0/gt/R/datasets.R                                 |  410 +
 gt-0.11.0/gt/R/dt_boxhead.R                               |    7 
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 gt-0.11.0/gt/R/dt_footnotes.R                             |   18 
 gt-0.11.0/gt/R/dt_groups_rows.R                           |   17 
 gt-0.11.0/gt/R/dt_heading.R                               |    2 
 gt-0.11.0/gt/R/dt_options.R                               |    3 
 gt-0.11.0/gt/R/dt_row_groups.R                            |    6 
 gt-0.11.0/gt/R/dt_spanners.R                              |   63 
 gt-0.11.0/gt/R/dt_stub_df.R                               |   29 
 gt-0.11.0/gt/R/dt_stubhead.R                              |    2 
 gt-0.11.0/gt/R/dt_styles.R                                |   14 
 gt-0.11.0/gt/R/dt_summary.R                               |  123 
 gt-0.11.0/gt/R/export.R                                   |  559 +
 gt-0.11.0/gt/R/format_data.R                              | 4660 ++++++++++----
 gt-0.11.0/gt/R/format_vec.R                               |  967 --
 gt-0.11.0/gt/R/gt-package.R                               |    9 
 gt-0.11.0/gt/R/gt.R                                       |   38 
 gt-0.11.0/gt/R/gt_group.R                                 |  135 
 gt-0.11.0/gt/R/gt_preview.R                               |    8 
 gt-0.11.0/gt/R/gt_split.R                                 |   26 
 gt-0.11.0/gt/R/helpers.R                                  | 1557 +---
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 gt-0.11.0/gt/R/info_tables.R                              |  863 +-
 gt-0.11.0/gt/R/knitr-utils.R                              |    8 
 gt-0.11.0/gt/R/location_methods.R                         |   52 
 gt-0.11.0/gt/R/modify_columns.R                           |  626 +
 gt-0.11.0/gt/R/modify_rows.R                              |   15 
 gt-0.11.0/gt/R/opts.R                                     |  115 
 gt-0.11.0/gt/R/print.R                                    |   26 
 gt-0.11.0/gt/R/render_as_html.R                           |    2 
 gt-0.11.0/gt/R/render_as_i_html.R                         |  545 +
 gt-0.11.0/gt/R/resolver.R                                 |  212 
 gt-0.11.0/gt/R/rows_add.R                                 |   55 
 gt-0.11.0/gt/R/shiny.R                                    |   32 
 gt-0.11.0/gt/R/substitution.R                             |  225 
 gt-0.11.0/gt/R/summary_rows.R                             |   71 
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 gt-0.11.0/gt/R/tab_create_modify.R                        |  824 +-
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 gt-0.11.0/gt/R/utils.R                                    |  894 +-
 gt-0.11.0/gt/R/utils_examples.R                           |  111 
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 gt-0.11.0/gt/R/utils_general_str_formatting.R             |   85 
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 gt-0.11.0/gt/R/utils_render_xml.R                         |  434 -
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 gt-0.11.0/gt/R/zzz.R                                      |   57 
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Package cthist updated to version 2.1.10 with previous version 2.1.9 dated 2024-06-01

Title: Clinical Trial Registry History
Description: Retrieves historical versions of clinical trial registry entries from <https://ClinicalTrials.gov>. Package functionality and implementation for v 1.0.0 is documented in Carlisle (2022) <DOI:10.1371/journal.pone.0270909>.
Author: Benjamin Gregory Carlisle [aut, cre]
Maintainer: Benjamin Gregory Carlisle <murph@bgcarlisle.com>

Diff between cthist versions 2.1.9 dated 2024-06-01 and 2.1.10 dated 2024-07-09

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Package zonohedra updated to version 0.3-0 with previous version 0.2-2 dated 2023-05-31

Title: Compute and Plot Zonohedra from Vector Generators
Description: Computes a zonohedron from real vector generators. The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes). An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1. Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between zonohedra versions 0.2-2 dated 2023-05-31 and 0.3-0 dated 2024-07-09

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Package PAMscapes updated to version 0.6.0 with previous version 0.5.8 dated 2024-06-11

Title: Tools for Summarising and Analysing Soundscape Data
Description: A variety of tools relevant to the analysis of marine soundscape data. There are tools for downloading AIS (automatic identification system) data from Marine Cadastre <https://marinecadastre.gov/ais/>, connecting AIS data to GPS coordinates, plotting summaries of various soundscape measurements, and downloading relevant environmental variables (wind, swell height) from the National Center for Atmospheric Research data server <https://rda.ucar.edu/datasets/ds084.1/>. Most tools were developed to work well with output from 'Triton' software, but can be adapted to work with any similar measurements.
Author: Taiki Sakai [aut, cre], Anne Simonis [ctb], Shannon Rankin [ctb], Megan McKenna [ctb], Kaitlin Palmer [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package sbw updated to version 1.1.8 with previous version 1.1.5 dated 2021-09-22

Title: Stable Balancing Weights for Causal Inference and Missing Data
Description: Implements the Stable Balancing Weights by Zubizarreta (2015) <DOI:10.1080/01621459.2015.1023805>. These are the weights of minimum variance that approximately balance the empirical distribution of the observed covariates. For an overview, see Chattopadhyay, Hase and Zubizarreta (2020) <DOI:10.1002/sim.8659>. To solve the optimization problem in 'sbw', the default solver is 'quadprog', which is readily available through CRAN. The solver 'osqp' is also posted on CRAN. To enhance the performance of 'sbw', users are encouraged to install other solvers such as 'gurobi' and 'Rmosek', which require special installation. For the installation of gurobi and pogs, please follow the instructions at <https://www.gurobi.com/documentation/current/refman/r_ins_the_r_package.html> and <http://foges.github.io/pogs/stp/r>.
Author: Jose R. Zubizarreta [aut, cre], Yige Li [aut], Kwangho Kim [aut], Amine Allouah [ctb], Noah Greifer [ctb]
Maintainer: Jose R. Zubizarreta <zubizarreta@hcp.med.harvard.edu>

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Package fossilbrush updated to version 1.0.5 with previous version 1.0.3 dated 2022-07-21

Title: Automated Cleaning of Fossil Occurrence Data
Description: Functions to automate the detection and resolution of taxonomic and stratigraphic errors in fossil occurrence datasets. Functions were developed using data from the Paleobiology Database.
Author: Joe Flannery-Sutherland [aut, cre] , Nussaibah Raja-Schoob [aut, ctb], Adam Kocsis [aut, ctb], Wolfgang Kiessling [aut]
Maintainer: Joe Flannery-Sutherland <jf15558@bristol.ac.uk>

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Package dosearch updated to version 1.0.10 with previous version 1.0.8 dated 2021-08-19

Title: Causal Effect Identification from Multiple Incomplete Data Sources
Description: Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm by Tikka, Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim and Tian, 2015) <doi:10.1609/aaai.v29i1.9679>, transportability (Bareinboim and Pearl, 2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, missing data (Mohan, Pearl, and Tian, 2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see (Corander et al., 2019) <doi:10.1016/j.apal.2019.04.004>.
Author: Santtu Tikka [aut, cre] , Antti Hyttinen [ctb] , Juha Karvanen [ctb]
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package dejaVu updated to version 0.3.1 with previous version 0.3.0 dated 2021-04-27

Title: Multiple Imputation for Recurrent Events
Description: Performs reference based multiple imputation of recurrent event data based on a negative binomial regression model, as described by Keene et al (2014) <doi:10.1002/pst.1624>.
Author: Nikolas Burkoff [aut], Paul Metcalfe [aut], Jonathan Bartlett [aut, cre], David Ruau [aut]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package chk updated to version 0.9.2 with previous version 0.9.1 dated 2023-10-05

Title: Check User-Supplied Function Arguments
Description: For developers to check user-supplied function arguments. It is designed to be simple, fast and customizable. Error messages follow the tidyverse style guide.
Author: Joe Thorley [aut, cre] , Kirill Mueller [aut] , Ayla Pearson [aut] , Nadine Hussein [ctb] , Evan Amies-Galonski [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package rolog updated to version 0.9.18 with previous version 0.9.17 dated 2024-05-01

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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Package InteractionPoweR updated to version 0.2.2 with previous version 0.2.1 dated 2023-04-18

Title: Power Analyses for Interaction Effects in Cross-Sectional Regressions
Description: Power analysis for regression models which test the interaction of two or three independent variables on a single dependent variable. Includes options for correlated interacting variables and specifying variable reliability. Two-way interactions can include continuous, binary, or ordinal variables. Power analyses can be done either analytically or via simulation. Includes tools for simulating single data sets and visualizing power analysis results. The primary functions are power_interaction_r2() and power_interaction() for two-way interactions, and power_interaction_3way_r2() for three-way interactions. Please cite as: Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2023). "Tutorial: Power analyses for interaction effects in cross-sectional regressions." <doi:10.1177/25152459231187531>.
Author: David Baranger [aut, cre] , Brandon Goldstein [ctb], Megan Finsaas [ctb], Thomas Olino [ctb], Colin Vize [ctb], Don Lynam [ctb]
Maintainer: David Baranger <dbaranger@gmail.com>

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Package gcplyr updated to version 1.10.0 with previous version 1.9.0 dated 2024-03-11

Title: Wrangle and Analyze Growth Curve Data
Description: Easy wrangling and model-free analysis of microbial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.
Author: Mike Blazanin [aut, cre]
Maintainer: Mike Blazanin <mikeblazanin@gmail.com>

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 R/utility_functions.R                                                                     |    5 
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 man/first_peak.Rd                                                                         |    4 
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 man/make_design.Rd                                                                        |    4 
 man/make_designpattern.Rd                                                                 |    2 
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 man/merge_dfs.Rd                                                                          |   11 
 man/paste_blocks.Rd                                                                       |    4 
 man/read_blocks.Rd                                                                        |   40 
 man/read_tidys.Rd                                                                         |   36 
 man/read_wides.Rd                                                                         |   32 
 man/separate_tidy.Rd                                                                      |   14 
 man/smooth_data.Rd                                                                        |   27 
 man/train_smooth_data.Rd                                                                  |   27 
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 man/write_blocks.Rd                                                                       |    4 
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Package RNAmf updated to version 1.0.0 with previous version 0.1.2 dated 2024-03-22

Title: Recursive Non-Additive Emulator for Multi-Fidelity Data
Description: Performs RNA emulation and active learning proposed by Heo and Sung (2024) <doi:10.1080/00401706.2024.2376173> for multi-fidelity computer experiments. The RNA emulator is particularly useful when the simulations with different fidelity level are nonlinearly correlated. The hyperparameters in the model are estimated by maximum likelihood estimation.
Author: Junoh Heo [aut, cre], Chih-Li Sung [aut]
Maintainer: Junoh Heo <heojunoh@msu.edu>

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Package FielDHub updated to version 1.4.0 with previous version 1.3.7 dated 2024-03-28

Title: A Shiny App for Design of Experiments in Life Sciences
Description: A shiny design of experiments (DOE) app that aids in the creation of traditional, un-replicated, augmented and partially-replicated designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
Author: Didier Murillo [cre, aut], Salvador Gezan [aut], Ana Heilman [ctb], Thomas Walk [ctb], Johan Aparicio [ctb], Matthew Seefeldt [ctb], Jean-Marc Montpetit [ctb], Richard Horsley [ctb], North Dakota State University [cph]
Maintainer: Didier Murillo <didier.murilloflorez@ndsu.edu>

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Package mstudentd updated to version 1.1.1 with previous version 1.0.0 dated 2024-03-22

Title: Multivariate t Distribution
Description: Distance between multivariate t distributions, as presented by N. Bouhlel and D. Rousseau (2023) <doi:10.1109/LSP.2023.3324594>.
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Maintainer: Pierre Santagostini <pierre.santagostini@agrocampus-ouest.fr>

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Package GEOmap updated to version 2.5-11 with previous version 2.5-5 dated 2023-09-01

Title: Topographic and Geologic Mapping
Description: Set of routines for making map projections (forward and inverse), topographic maps, perspective plots, geological maps, geological map symbols, geological databases, interactive plotting and selection of focus regions.
Author: Jonathan M. Lees [aut, cre]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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New package FVDDPpkg with initial version 0.1.2
Package: FVDDPpkg
Title: Implement Fleming-Viot-Dependent Dirichlet Processes
Version: 0.1.2
Description: A Bayesian Nonparametric model for the study of time-evolving frequencies, which has become renowned in the study of population genetics. The model consists of a Hidden Markov Model (HMM) in which the latent signal is a distribution-valued stochastic process that takes the form of a finite mixture of Dirichlet Processes, indexed by vectors that count how many times each value is observed in the population. The package implements methodologies presented in Ascolani, Lijoi and Ruggiero (2021) <doi:10.1214/20-BA1206> and Ascolani, Lijoi and Ruggiero (2023) <doi:10.3150/22-BEJ1504> that make it possible to study the process at the time of data collection or to predict its evolution in future or in the past.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: Rcpp, Rdpack
LinkingTo: Rcpp
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-07-08 15:42:52 UTC; stefano.damato
Author: Stefano Damato [aut, cre]
Maintainer: Stefano Damato <stefano.damato@idsia.ch>
Repository: CRAN
Date/Publication: 2024-07-09 16:10:12 UTC

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New package decp with initial version 0.1.0
Package: decp
Title: Complete Change Point Analysis
Version: 0.1.0
Description: Provides a comprehensive approach for identifying and estimating change points in multivariate time series through various statistical methods. Implements the multiple change point detection methodology from Ryan & Killick (2023) <doi:10.1080/00401706.2023.2183261> and a novel estimation methodology from Fotopoulos et al. (2023) <doi:10.1007/s00362-023-01495-0> generalized to fit the detection methodologies. Performs both detection and estimation of change points, providing visualization and summary information of the estimation process for each detected change point.
Depends: R (>= 3.1)
License: GPL-3
Encoding: UTF-8
Imports: geigen, ggplot2, magrittr, matrixcalc, purrr, rlang, stats
Maintainer: Vasileios Pavlopoulos <vasileios.pavlopoulos@uah.edu>
NeedsCompilation: no
Packaged: 2024-07-08 19:19:16 UTC; Business
Author: Vasileios Pavlopoulos [cre, aut], Hieu Pham [aut, ctb], Paras Bhatt [aut, ctb], Yi Tan [aut, ctb], Ravi Patnayakuni [aut, ctb]
Repository: CRAN
Date/Publication: 2024-07-09 16:10:02 UTC

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New package dapper with initial version 1.0.0
Package: dapper
Title: Data Augmentation for Private Posterior Estimation
Version: 1.0.0
Description: A data augmentation based sampler for conducting privacy-aware Bayesian inference. The dapper_sample() function takes an existing sampler as input and automatically constructs a privacy-aware sampler. The process of constructing a sampler is simplified through the specification of four independent modules, allowing for easy comparison between different privacy mechanisms by only swapping out the relevant modules. Probability mass functions for the discrete Gaussian and discrete Laplacian are provided to facilitate analyses dealing with privatized count data. The output of dapper_sample() can be analyzed using many of the same tools from the `rstan` ecosystem. For methodological details on the sampler see Ju et al. (2022) <doi:10.48550/arXiv.2206.00710>, and for details on the discrete Gaussian and discrete Laplacian distributions see Canonne et al. (2020) <doi:10.48550/arXiv.2004.00010>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mango-empire/dapper
BugReports: https://github.com/mango-empire/dapper/issues
Suggests: testthat (>= 3.0.0)
Imports: bayesplot, checkmate, furrr, memoise, posterior, progressr, stats
NeedsCompilation: no
Packaged: 2024-07-08 15:30:25 UTC; kevin
Author: Kevin Eng [aut, cre, cph]
Maintainer: Kevin Eng <kevine1221@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-09 16:10:05 UTC

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Package childfree updated to version 0.0.2 with previous version 0.0.1 dated 2024-04-05

Title: Access and Harmonize Childfree Demographic Data
Description: Reads demographic data from a variety of public data sources, extracting and harmonizing variables useful for the study of childfree individuals. The identification of childfree individuals and those with other family statuses uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available at <doi:10.31234/osf.io/fa89m>.
Author: Zachary Neal [aut, cre] , Jennifer Watling Neal [aut]
Maintainer: Zachary Neal <zpneal@msu.edu>

Diff between childfree versions 0.0.1 dated 2024-04-05 and 0.0.2 dated 2024-07-09

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 21 files changed, 781 insertions(+), 257 deletions(-)

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New package syrup with initial version 0.1.0
Package: syrup
Title: Measure Memory and CPU Usage for Parallel R Code
Version: 0.1.0
Description: Measures memory and CPU usage of R code by regularly taking snapshots of calls to the system command 'ps'. The package provides an entry point (albeit coarse) to profile usage of system resources by R code run in parallel.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Depends: bench
Imports: callr, dplyr, ps, purrr, rlang, tibble, vctrs, withr
URL: https://github.com/simonpcouch/syrup, https://simonpcouch.github.io/syrup/
BugReports: https://github.com/simonpcouch/syrup/issues
NeedsCompilation: no
Packaged: 2024-07-08 17:11:18 UTC; simoncouch
Author: Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2024-07-09 15:50:02 UTC

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New package somaticflags with initial version 0.1.0
Package: somaticflags
Title: Database of Somatic Flags
Version: 0.1.0
Description: Database of genes which frequently sustain somatic mutations, but are unlikely to drive cancer.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: usethis, devtools
URL: https://github.com/CCICB/somaticflags
BugReports: https://github.com/CCICB/somaticflags/issues
NeedsCompilation: no
Packaged: 2024-07-07 23:04:50 UTC; selkamand
Author: Sam El-Kamand [aut, cre] , Children's Cancer Institute Australia [cph]
Maintainer: Sam El-Kamand <selkamand@ccia.org.au>
Repository: CRAN
Date/Publication: 2024-07-09 15:50:06 UTC

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Package SLOPE updated to version 0.5.1 with previous version 0.5.0 dated 2022-06-09

Title: Sorted L1 Penalized Estimation
Description: Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
Author: Johan Larsson [aut, cre] , Jonas Wallin [aut] , Malgorzata Bogdan [aut], Ewout van den Berg [aut], Chiara Sabatti [aut], Emmanuel Candes [aut], Evan Patterson [aut], Weijie Su [aut], Jakub Kala [aut], Krystyna Grzesiak [aut], Michal Burdukiewicz [aut [...truncated...]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

Diff between SLOPE versions 0.5.0 dated 2022-06-09 and 0.5.1 dated 2024-07-09

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 SLOPE-0.5.1/SLOPE/R/SLOPE.R                                                          |    9 
 SLOPE-0.5.1/SLOPE/R/predict.R                                                        |    2 
 SLOPE-0.5.1/SLOPE/R/sortedL1Prox.R                                                   |    2 
 SLOPE-0.5.1/SLOPE/R/utils.R                                                          |   13 
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 SLOPE-0.5.1/SLOPE/inst/WORDLIST                                                      |    4 
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 SLOPE-0.5.1/SLOPE/man/SLOPE-package.Rd                                               |    5 
 SLOPE-0.5.1/SLOPE/man/SLOPE.Rd                                                       |    7 
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 SLOPE-0.5.1/SLOPE/src/Makevars                                                       |    1 
 SLOPE-0.5.1/SLOPE/src/SLOPE.h                                                        |   22 
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 SLOPE-0.5.1/SLOPE/src/families/gaussian.h                                            |    2 
 SLOPE-0.5.1/SLOPE/src/families/multinomial.h                                         |    2 
 SLOPE-0.5.1/SLOPE/src/families/poisson.h                                             |    2 
 SLOPE-0.5.1/SLOPE/src/prox.cpp                                                       |   19 
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New package rank with initial version 0.1.0
Package: rank
Title: Customisable Ranking of Numerical and Categorical Data
Version: 0.1.0
Description: Provides a flexible alternative to the built-in rank() function called smartrank(). Optionally rank categorical variables by frequency (instead of in alphabetical order), and control whether ranking is based on descending/ascending order. smartrank() is suitable for both numerical and categorical data.
License: MIT + file LICENSE
Suggests: covr, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/selkamand/rank, https://selkamand.github.io/rank/
BugReports: https://github.com/selkamand/rank/issues
NeedsCompilation: no
Packaged: 2024-07-07 05:14:16 UTC; selkamand
Author: Sam El-Kamand [aut, cre, cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-09 15:30:02 UTC

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Package quickcode updated to version 0.9 with previous version 0.8 dated 2024-04-06

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between quickcode versions 0.8 dated 2024-04-06 and 0.9 dated 2024-07-09

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 quickcode-0.9/quickcode/R/nin.R                                             |    4 
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 51 files changed, 377 insertions(+), 148 deletions(-)

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New package pEPA with initial version 1.0
Package: pEPA
Title: Tests of Equal Predictive Accuracy for Panels of Forecasts
Version: 1.0
Depends: R (>= 2.10)
Date: 2024-07-07
Author: Krzysztof Drachal [aut, cre]
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>
Description: Allows to perform the tests of equal predictive accuracy for panels of forecasts. Main references: Qu et al. (2024) <doi:10.1016/j.ijforecast.2023.08.001> and Akgun et al. (2024) <doi:10.1016/j.ijforecast.2023.02.001>.
License: GPL-3
LazyData: TRUE
URL: https://CRAN.R-project.org/package=pEPA
Note: Research funded by the grant of the National Science Centre, Poland, under the contract number DEC-2018/31/B/HS4/02021.
NeedsCompilation: no
Packaged: 2024-07-07 13:49:30 UTC; Krzysiek
Repository: CRAN
Date/Publication: 2024-07-09 15:50:14 UTC

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New package paramDemo with initial version 1.0.1
Package: paramDemo
Title: Parametric and Non-Parametric Demographic Functions and Applications
Version: 1.0.1
Date: 2024-07-03
Depends: R (>= 2.10)
Description: Calculate parametric mortality and Fertility models, following packages 'BaSTA' in Colchero, Jones and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and 'BaFTA' <https://github.com/fercol/BaFTA>, summary statistics (e.g. ageing rates, life expectancy, lifespan equality, etc.), life table and product limit estimators from census data.
License: GPL
BugReports: https://github.com/fercol/paramDemo/issues
NeedsCompilation: no
Packaged: 2024-07-08 08:26:27 UTC; fernando_colchero
Author: Fernando Colchero [aut, cre]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>
Repository: CRAN
Date/Publication: 2024-07-09 15:50:10 UTC

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New package nascaR.data with initial version 1.0.0
Package: nascaR.data
Title: NASCAR Race Data
Version: 1.0.0
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2023 season. Data was sourced with permission from DriverAverages.com.
LazyData: true
License: CC BY 4.0
Depends: R (>= 3.5.0)
Encoding: UTF-8
Suggests: conflicted, ggtext, glue, gtsummary, here, knitr, quarto (>= 1.3.12), rmarkdown, roxygen2, rUM, scales, tidyverse
VignetteBuilder: quarto
URL: https://github.com/kyleGrealis/nascaR.data/, https://kylegrealis.github.io/nascaR.data/
BugReports: https://github.com/kyleGrealis/nascaR.data/issues
NeedsCompilation: no
Packaged: 2024-07-06 15:16:39 UTC; kxg679
Author: Kyle Grealis [aut, cre] , Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@icloud.com>
Repository: CRAN
Date/Publication: 2024-07-09 15:20:02 UTC

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New package glam with initial version 1.0.2
Package: glam
Title: Generalized Additive and Linear Models (GLAM)
Version: 1.0.2
Description: Contains methods for fitting Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs). Generalized regression models are common methods for handling data for which assuming Gaussian-distributed errors is not appropriate. For instance, if the response of interest is binary, count, or proportion data, one can instead model the expectation of the response based on an appropriate data-generating distribution. This package provides methods for fitting GLMs and GAMs under Beta regression, Poisson regression, Gamma regression, and Binomial regression (currently GLM only) settings. Models are fit using local scoring algorithms described in Hastie and Tibshirani (1990) <doi:10.1214/ss/1177013604>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gam, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-07 18:11:43 UTC; Andy
Author: Andrew Cooper [aut, cre, cph]
Maintainer: Andrew Cooper <ahcooper@vt.edu>
Repository: CRAN
Date/Publication: 2024-07-09 15:40:02 UTC

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New package GDILM.ME with initial version 1.2.1
Package: GDILM.ME
Title: Spatial Modeling of Infectious Diseases with Co-Variate Error
Version: 1.2.1
Description: Provides tools for simulating from spatial modeling of individual level of infectious disease transmission when co-variates measured with error, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based model within Susceptible-Infectious-Removed (SIR) compartmental frameworks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, corpcor, mvtnorm, ngspatial, numDeriv, stats, psych
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-07-06 14:41:34 UTC; ruwan
Author: Ruwani Herath [aut, cre], Leila Amiri [ctb], Mahmoud Torabi [ctb]
Maintainer: Ruwani Herath <ruwanirasanjalih@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-09 15:20:06 UTC

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New package FastUtils with initial version 0.1.1
Package: FastUtils
Title: Fast, Readable Utility Functions
Version: 0.1.1
Date: 2024-06-21
Maintainer: Qile Yang <qile.yang@berkeley.edu>
Description: A wide variety of tools for general data analysis, wrangling, spelling, statistics, visualizations, package development, and more. All functions have vectorized implementations whenever possible.
BugReports: https://github.com/Qile0317/FastUtils/issues/
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: assertthat, BiocManager, devtools, dplyr, ggplot2, hash, lifecycle, methods, Rcpp (>= 1.0.12), rlang, testthat, tools, usethis
LinkingTo: Rcpp
Suggests: covr, knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/Qile0317/FastUtils, https://qile0317.github.io/FastUtils/
NeedsCompilation: yes
Packaged: 2024-07-07 21:12:07 UTC; qile
Author: Qile Yang [cre, aut, cph]
Repository: CRAN
Date/Publication: 2024-07-09 15:40:06 UTC

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New package FAfA with initial version 0.2
Package: FAfA
Title: Factor Analysis for All
Version: 0.2
Description: This Shiny application offers researchers a comprehensive tool for performing factor analysis. Users can upload datasets, validate assumptions, manage missing and outlier data, split data for different analyses, and run exploratory and confirmatory factor analyses ("EFA" and "CFA"). The software also offers reliability analysis, exploratory graph analysis, and item weighting. With a user-friendly interface, this tool simplifies the EFA and CFA processes. The main features are data submission and simple data inspection. Data manipulation (excluding variables, splitting data, checking for outliers), assumption checking (Tabachnik & Fidell (2012) <ISBN:978-0-205-84957-4> and Field (2009) <ISBN:978-1-84787-906-6>) for factor analysis, exploratory factor analysis (with various factor number determination methods (Lorenzo-Seva & Ferrando (2021) <doi:10.5964/meth.7185>)), confirmatory factor analysis (model definition and modification suggestions (Kline (2011) <IS [...truncated...]
License: GPL-3
Imports: shiny, shinydashboard, utils, shinycssloaders, golem, magrittr, lavaan, dplyr, psych
Suggests: knitr, rmarkdown, spelling, testthat, EFA.MRFA, EFA.dimensions, EFAtools, EGAnet, MBESS, config, energy, ggcorrplot, mctest, moments, mvnormalTest, pastecs, psychometric, semPlot, semTools, sirt, stats
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-07-08 08:11:37 UTC; Faruk
Author: Abdullah Faruk KILIC [cre, aut]
Maintainer: Abdullah Faruk KILIC <afarukkilic@trakya.edu.tr>
Repository: CRAN
Date/Publication: 2024-07-09 15:50:25 UTC

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New package boomer with initial version 0.2.0
Package: boomer
Title: Debugging Tools to Inspect the Intermediate Steps of a Call
Version: 0.2.0
Description: Provides debugging tools that let you inspect the intermediate results of a call. The output looks as if we explode a call into its parts hence the package name.
License: GPL-3
URL: https://github.com/moodymudskipper/boomer
BugReports: https://github.com/moodymudskipper/boomer/issues
Imports: crayon, methods, pryr, rlang, rstudioapi, styler, withr
Suggests: flow, knitr, lobstr, magrittr, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en
NeedsCompilation: no
Packaged: 2024-07-07 16:13:26 UTC; Antoine
Author: Antoine Fabri [aut, cre]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-09 15:50:17 UTC

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New package aLBI with initial version 0.1.4
Package: aLBI
Title: Estimating Length-Based Indicators for Fish Stock
Version: 0.1.4
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>
Description: Provides tools for estimating length-based indicators from length frequency data to assess fish stock status and manage fisheries sustainably. Implements methods from Cope and Punt (2009) <doi:10.1577/C08-025.1> for data-limited stock assessment and Froese (2004) <doi:10.1111/j.1467-2979.2004.00144.x> for detecting overfishing using simple indicators. Key functions include: CalPar(): Calculates various lengths used in fish stock assessment as biological length indicators such as asymptotic length (Linf), maximum length (Lmax), length at sexual maturity (Lm), and optimal length (Lopt). FishPar(): Calculates length-based indicators (LBIs) proposed by Froese (2004) <doi:10.1111/j.1467-2979.2004.00144.x> such as the percentage of mature fish (Pmat), percentage of optimal length fish (Popt), percentage of mega spawners (Pmega), and the sum of these as Pobj. This function also estimates confidence intervals for different lengths, visualizes length frequency distributions, a [...truncated...]
Depends: R (>= 3.5.0)
Suggests: testthat, knitr, rmarkdown, devtools, readxl
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/Ataher76/aLBI
BugReports: https://github.com/Ataher76/aLBI/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-08 07:50:43 UTC; User
Author: Ataher Ali [aut, cre], Alam Mohammed Shahidul [aut]
Repository: CRAN
Date/Publication: 2024-07-09 15:50:21 UTC

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Package WeibullR.learnr updated to version 0.1.3 with previous version 0.1.1 dated 2023-06-06

Title: An Interactive Introduction to Life Data Analysis
Description: An interactive introduction to Life Data Analysis that depends on 'WeibullR' by David Silkworth and Jurgen Symynck (2022) <https://CRAN.R-project.org/package=WeibullR>, a R package for Weibull Analysis, and 'learnr' by Garrick Aden-Buie et al. (2023) <https://CRAN.R-project.org/package=learnr>, a framework for building interactive learning modules in R.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

Diff between WeibullR.learnr versions 0.1.1 dated 2023-06-06 and 0.1.3 dated 2024-07-09

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Package OPI updated to version 3.0.2 with previous version 3.0.1 dated 2024-07-03

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph] , David Lawson [ctb, cph], Ivan Marin-Franch [ctb, cph], Matthias Muller [ctb], Jonathan Denniss [ctb, cph], Astrid Zeman [ctb], Giovanni Montesano [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

Diff between OPI versions 3.0.1 dated 2024-07-03 and 3.0.2 dated 2024-07-09

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