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 <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Diff between rfacebookstat versions 1.10.0 dated 2019-09-10 and 1.10.1 dated 2019-09-10
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/zzz.R | 2 +- build/partial.rdb |binary 4 files changed, 7 insertions(+), 7 deletions(-)
Title: Guided Analytics for Testing Manufacturing Parameters
Description: An implementation of the initial guided analytics for parameter testing and
controlband extraction framework. Functions are available for continuous and
categorical target variables as well as for generating standardized reports of the
conducted analysis. See <https://github.com/stefan-stein/igate> for more information
on the technology.
Author: Stefan Stein [aut, cre]
Maintainer: Stefan Stein <s.stein@warwick.ac.uk>
Diff between igate versions 0.3.2 dated 2019-09-07 and 0.3.3 dated 2019-09-10
DESCRIPTION | 13 +++-- MD5 | 14 +++--- NAMESPACE | 2 R/report.R | 97 +++++++++++++++++++++++-------------------- README.md | 2 inst/doc/igate-vignette.html | 10 +++- inst/rmd/iGATE_Report.Rmd | 9 --- man/report.Rd | 4 - 8 files changed, 80 insertions(+), 71 deletions(-)
Title: Infectious Disease Model Library and Utilities
Description: Explore a range of infectious disease models in a consistent framework.
The primary aim of 'idmodelr' is to provide a library of infectious disease models
for researchers, students, and other interested individuals. These models can be
used to understand the underlying dynamics and as a reference point when developing
models for research. 'idmodelr' also provides a range of utilities. These include: plotting
functionality; a simulation wrapper; scenario analysis tooling; an interactive
dashboard; tools for handling mult-dimensional models; and both model and parameter
look up tables. Unlike other modelling packages such as 'pomp' (<https://kingaa.github.io/pomp/>), 'libbi' (<http://libbi.org>)
and 'EpiModel' (<http://www.epimodel.or>), 'idmodelr' serves primarily as an educational
resource. It is most comparable to epirecipes (<http://epirecip.es/epicookbook/chapters/simple>)
but provides a more consistent framework, an R based workflow, and additional utility tooling.
After users have explored model dynamics with 'idmodelr' they may then
implement their model using one of these packages in order to utilise the model
fitting tools they provide. For newer modellers, this package reduces the barrier
to entry by containing multiple infectious disease models, providing a consistent
framework for simulation and visualisation, and signposting towards other, more
research focussed, resources.
Author: Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>)
Maintainer: Sam Abbott <contact@samabbott.co.uk>
Diff between idmodelr versions 0.3.0 dated 2019-08-01 and 0.3.1 dated 2019-09-10
DESCRIPTION | 12 ++++----- MD5 | 16 ++++++------- NAMESPACE | 1 NEWS.md | 8 ++++++ R/scenario_analysis.R | 7 +++-- README.md | 39 ++++++++++++++++++-------------- inst/doc/model_details.html | 4 +-- inst/doc/parameter_details.html | 4 +-- tests/testthat/test-scenario_analysis.R | 12 ++++----- 9 files changed, 58 insertions(+), 45 deletions(-)
Title: Quickly Create Elegant Regression Results Tables and Plots when
Modelling
Description: Generate regression results tables and plots in final
format for publication. Explore models and export directly to PDF
and 'Word' using 'RMarkdown'.
Author: Ewen Harrison [aut, cre],
Tom Drake [aut],
Riinu Ots [aut]
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>
Diff between finalfit versions 0.9.4 dated 2019-07-19 and 0.9.5 dated 2019-09-10
DESCRIPTION | 6 MD5 | 60 ++-- NAMESPACE | 1 NEWS.md | 9 R/ff_label.R | 3 R/ff_metrics.R | 10 R/ff_permute.R | 102 +++++++- R/finalfit.R | 34 ++ R/finalfit_package.R | 52 ++++ R/glmmulti.R | 31 -- R/lmmulti.R | 33 +- R/missing_pattern.R | 15 - R/summaryfactorlist.R | 23 + data/colon_s.rda |binary data/wcgs.rda |only inst/doc/all_tables_examples.R | 16 + inst/doc/all_tables_examples.Rmd | 26 ++ inst/doc/all_tables_examples.html | 437 ++++++++++++++++++++++++------------ inst/doc/bootstrap.html | 22 - inst/doc/export.html | 6 inst/doc/finalfit.html | 2 inst/doc/missing.html | 8 man/ff_permute.Rd | 32 +- man/finalfit.Rd | 10 man/glmmulti.Rd | 15 - man/lmmulti.Rd | 19 - man/missing_pattern.Rd | 22 + man/wcgs.Rd |only tests/testthat/Rplots.pdf |binary tests/testthat/test_all_in_one.R | 62 +++++ tests/testthat/test_modelwrappers.R | 10 vignettes/all_tables_examples.Rmd | 26 ++ 32 files changed, 780 insertions(+), 312 deletions(-)
Title: Diffusion Map
Description: Implements diffusion map method of data
parametrization, including creation and visualization of
diffusion map, clustering with diffusion K-means and
regression using adaptive regression model.
Richards (2009) <doi:10.1088/0004-637X/691/1/32>.
Author: Joseph Richards [aut] (joeyrichar),
Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>,
rcannood)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Diff between diffusionMap versions 1.1-0.1 dated 2018-07-21 and 1.2.0 dated 2019-09-10
diffusionMap-1.1-0.1/diffusionMap/R/plot.dmap.R |only diffusionMap-1.1-0.1/diffusionMap/R/print.dmap.R |only diffusionMap-1.1-0.1/diffusionMap/data/Chainlink.txt.gz |only diffusionMap-1.1-0.1/diffusionMap/data/annulus.txt.gz |only diffusionMap-1.1-0.1/diffusionMap/man/plot.dmap.Rd |only diffusionMap-1.1-0.1/diffusionMap/man/print.dmap.Rd |only diffusionMap-1.2.0/diffusionMap/DESCRIPTION | 47 +++- diffusionMap-1.2.0/diffusionMap/MD5 | 45 ++-- diffusionMap-1.2.0/diffusionMap/NAMESPACE | 29 +- diffusionMap-1.2.0/diffusionMap/R/adapreg.R | 73 +++++++ diffusionMap-1.2.0/diffusionMap/R/adapreg.m.R | 113 ++++++++++- diffusionMap-1.2.0/diffusionMap/R/data.R |only diffusionMap-1.2.0/diffusionMap/R/diffuse.R | 137 +++++++++++++- diffusionMap-1.2.0/diffusionMap/R/diffusionKmeans.R | 73 +++++++ diffusionMap-1.2.0/diffusionMap/R/distortionMin.R | 36 +++ diffusionMap-1.2.0/diffusionMap/R/epsilonCompute.R | 24 ++ diffusionMap-1.2.0/diffusionMap/R/nystrom.R | 63 ++++++ diffusionMap-1.2.0/diffusionMap/data/Chainlink.rda |only diffusionMap-1.2.0/diffusionMap/data/annulus.rda |only diffusionMap-1.2.0/diffusionMap/man/Chainlink.Rd | 27 +- diffusionMap-1.2.0/diffusionMap/man/adapreg.Rd | 118 +++++------- diffusionMap-1.2.0/diffusionMap/man/adapreg.m.Rd | 133 ++++++------- diffusionMap-1.2.0/diffusionMap/man/annulus.Rd | 17 - diffusionMap-1.2.0/diffusionMap/man/diffuse.Rd | 156 +++++++--------- diffusionMap-1.2.0/diffusionMap/man/diffusionKmeans.Rd | 108 +++++------ diffusionMap-1.2.0/diffusionMap/man/distortionMin.Rd | 71 +++---- diffusionMap-1.2.0/diffusionMap/man/epsilonCompute.Rd | 46 ++-- diffusionMap-1.2.0/diffusionMap/man/nystrom.Rd | 95 ++++----- 28 files changed, 943 insertions(+), 468 deletions(-)
Title: Bias Reduction with Missing Binary Response
Description: Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.
Author: Arnab Maity [aut, cre],
Vivek Pradhan [aut],
Ujjwal Das [aut]
Maintainer: Arnab Maity <arnab.maity@pfizer.com>
Diff between brlrmr versions 0.1.5 dated 2017-07-17 and 0.1.7 dated 2019-09-10
brlrmr-0.1.5/brlrmr/R/brlrmr-internal.R |only brlrmr-0.1.5/brlrmr/R/brmrlr-internal.R |only brlrmr-0.1.7/brlrmr/DESCRIPTION | 22 +++++++++++----------- brlrmr-0.1.7/brlrmr/MD5 | 5 ++--- brlrmr-0.1.7/brlrmr/inst |only 5 files changed, 13 insertions(+), 14 deletions(-)
Title: 'Neuroconductor' Base Package with Helper Functions for 'nifti'
Objects
Description: Base package for 'Neuroconductor', which includes many helper
functions that interact with objects of class 'nifti', implemented by
package 'oro.nifti', for reading/writing and also other manipulation
functions.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Diff between neurobase versions 1.27.6 dated 2018-11-20 and 1.27.11 dated 2019-09-10
DESCRIPTION | 8 +-- MD5 | 46 +++++++++-------- NAMESPACE | 6 +- NEWS.md | 8 +++ R/check_nifti.R | 9 +++ R/dropEmptyImageDimensions.R | 32 +++++------- R/fast_dice.R |only R/mask_img.R | 1 R/nii.stub.R | 1 R/ortho2.R | 48 ++++++++++++++---- R/ortho_diff.R | 11 ++-- R/overlay2.R | 33 ++++++++++++ R/subset_dti.R | 2 R/window_img.R | 4 - R/zero_pad.R | 19 ++++--- build/vignette.rds |binary inst/doc/neurobase.Rmd | 12 ++-- inst/doc/neurobase.html | 91 ++++++++++++++++++++++------------ inst/doc/nifti_basics.Rmd | 4 - inst/doc/nifti_basics.html | 113 ++++++++++++++++++++++++++----------------- man/fast_dice_tab.Rd |only man/multi_overlay.Rd | 3 + man/zero_pad.Rd | 5 + vignettes/neurobase.Rmd | 12 ++-- vignettes/nifti_basics.Rmd | 4 - 25 files changed, 310 insertions(+), 162 deletions(-)
Title: Analyzing High-Throughput Single Cell Sequencing Data
Description: A toolkit that allows scientists to work with data from single cell sequencing technologies such as scRNA-seq, scVDJ-seq and CITE-Seq. Single (i) Cell R package ('iCellR') provides unprecedented flexibility at every step of the analysis pipeline, including normalization, clustering, dimensionality reduction, imputation, visualization, and so on. Users can design both unsupervised and supervised models to best suit their research. In addition, the toolkit provides 2D and 3D interactive visualizations, differential expression analysis, filters based on cells, genes and clusters, data merging, normalizing for dropouts, data imputation methods, correcting for batch differences, pathway analysis, tools to find marker genes for clusters and conditions, predict cell types and pseudotime analysis.
Author: Alireza Khodadadi-Jamayran,
Joseph Pucella,
Hua Zhou,
Nicole Doudican,
John Carucci,
Adriana Heguy,
Boris Reizis,
Aristotelis Tsirigos
Maintainer: Alireza Khodadadi-Jamayran <alireza.khodadadi.j@gmail.com>
Diff between iCellR versions 1.0.0 dated 2019-08-02 and 1.1.2 dated 2019-09-10
DESCRIPTION | 6 +++--- MD5 | 17 ++++++++++------- NAMESPACE | 2 ++ R/F001.load10x.R | 1 + R/F020.cluster.plot.R | 2 +- R/F039.prep.vdj.R | 5 ++++- R/F041.clono.plot.R | 6 +++++- R/globalVariables.R | 1 + R/hto.anno.R |only inst/extdata/dense_umis.tsv |only man/hto.anno.Rd |only 11 files changed, 27 insertions(+), 13 deletions(-)
Title: Annotate Statistical Tests for 'ggplot2'
Description: Automatically performs desired statistical tests (e.g. wilcox.test(), t.test()) to compare between groups,
and adds the resulting p-values to the plot with an annotation bar.
Visualizing group differences are frequently performed by boxplots, bar plots, etc.
Statistical test results are often needed to be annotated on these plots.
This package provides a convenient function that works on 'ggplot2' objects,
performs the desired statistical test between groups of interest and annotates the test results on the plot.
Author: Jun Cheng [aut, cre]
Maintainer: Jun Cheng <s6juncheng@gmail.com>
Diff between ggpval versions 0.2.2 dated 2019-07-04 and 0.2.3 dated 2019-09-10
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 4 ++-- R/add_pval_ggplot.R | 30 +++++++++++++++--------------- build/vignette.rds |binary inst/doc/ggpval.R | 3 ++- inst/doc/ggpval.Rmd | 5 +++-- inst/doc/ggpval.html | 17 +++++++++-------- tests/testthat/test-add_pval.R | 5 ++++- vignettes/ggpval.Rmd | 5 +++-- 10 files changed, 50 insertions(+), 43 deletions(-)
Title: Inference for Stable Distribution
Description: Developed to perform the tasks given by the following. 1-computing the probability density function and distribution function of a univariate stable distribution; 2- generating from univariate stable, truncated stable, multivariate elliptically contoured stable, and bivariate strictly stable distributions; 3- estimating the parameters of univariate symmetric stable, skew stable, Cauchy, multivariate elliptically contoured stable, and multivariate strictly stable distributions; 4- estimating
the parameters of the mixture of symmetric stable and mixture of Cauchy distributions.
Author: Mahdi Teimouri, Adel Mohammadpour, and Saralees Nadarajah
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
Diff between alphastable versions 0.1.0 dated 2018-06-15 and 0.2.1 dated 2019-09-10
DESCRIPTION | 19 +++++-------- MD5 | 6 ++-- NAMESPACE | 4 +- R/alphastable.R | 78 +++++++++++++++++++++++++++++--------------------------- 4 files changed, 53 insertions(+), 54 deletions(-)
Title: 3D Brain Visualization
Description: In neuroscience, 'AFNI/SUMA' is a great tool to visualize 3D brain.
However, it takes efforts to interact and share the viewer to others. In
addition, 'AFNI/SUMA' doesn't support Windows platform. In the 'EEG/iEEG'
field, it's hard to have multiple cortical electrodes mapped to a template
brain for group analysis. Therefore this package is written aimed at
providing a fast, stable, interactive and easy to share tool based on 'Three.js',
a 'WebGL' engine to render 3D objects in the web browser such that we can
display brain surfaces on webpage interactively. This package translates R
objects to JavaScript objects via 'JSON' format, and provides 'R-Shiny' interface
to manipulate geometries interactively. The visualizations can also serve as
standalone widgets that can be easily shared across different platforms.
Along with 'rave', another package developed by Beauchamp's lab at Baylor
College Medicine, this package provides solutions to easily map surface
electrodes from multiple subjects to one template 141 brain.
Author: Zhengjia Wang [aut, cre, cph],
John Magnotti [aut],
Brian Metzger [aut],
Elizabeth Nesbitt [res],
Michael Beauchamp [aut, dtc, fnd]
Maintainer: Zhengjia Wang <zhengjia.wang@rice.edu>
Diff between threeBrain versions 0.1.2 dated 2019-06-28 and 0.1.3 dated 2019-09-10
threeBrain-0.1.2/threeBrain/R/brain.R |only threeBrain-0.1.2/threeBrain/R/geom_particle.R |only threeBrain-0.1.2/threeBrain/R/utils_rave.R |only threeBrain-0.1.2/threeBrain/inst/htmlwidgets/lib/dipterixThreeBrain-1.0.1/main.js.map |only threeBrain-0.1.2/threeBrain/man/Brain.Rd |only threeBrain-0.1.2/threeBrain/man/dev_threeBrain.Rd |only threeBrain-0.1.2/threeBrain/man/download_N27_surface.Rd |only threeBrain-0.1.3/threeBrain/DESCRIPTION | 29 threeBrain-0.1.3/threeBrain/MD5 | 80 threeBrain-0.1.3/threeBrain/NAMESPACE | 37 threeBrain-0.1.3/threeBrain/NEWS.md | 21 threeBrain-0.1.3/threeBrain/R/aaa.R | 117 threeBrain-0.1.3/threeBrain/R/class_animations.R |only threeBrain-0.1.3/threeBrain/R/class_brain.R |only threeBrain-0.1.3/threeBrain/R/class_multibrain.R |only threeBrain-0.1.3/threeBrain/R/fs_brain.R |only threeBrain-0.1.3/threeBrain/R/func_scatter.R | 51 threeBrain-0.1.3/threeBrain/R/geom_abstract.R | 112 threeBrain-0.1.3/threeBrain/R/geom_datacube.R |only threeBrain-0.1.3/threeBrain/R/geom_electrode.R | 31 threeBrain-0.1.3/threeBrain/R/geom_free.R | 9 threeBrain-0.1.3/threeBrain/R/geom_linked.R | 2 threeBrain-0.1.3/threeBrain/R/geom_sphere.R | 30 threeBrain-0.1.3/threeBrain/R/loaders.R | 178 threeBrain-0.1.3/threeBrain/R/py_installer.R |only threeBrain-0.1.3/threeBrain/R/s3_geom.R | 73 threeBrain-0.1.3/threeBrain/R/threejs_brain.R | 207 threeBrain-0.1.3/threeBrain/R/utils.R | 270 threeBrain-0.1.3/threeBrain/inst/htmlwidgets/lib/dipterixThreeBrain-1.0.1/cm_gray.png |only threeBrain-0.1.3/threeBrain/inst/htmlwidgets/lib/dipterixThreeBrain-1.0.1/cm_viridis.png |only threeBrain-0.1.3/threeBrain/inst/htmlwidgets/lib/dipterixThreeBrain-1.0.1/dipterix.css | 131 threeBrain-0.1.3/threeBrain/inst/htmlwidgets/lib/dipterixThreeBrain-1.0.1/main.js |68453 +++------- threeBrain-0.1.3/threeBrain/inst/htmlwidgets/lib/dipterixThreeBrain-1.0.1/shortcuts.csv |only threeBrain-0.1.3/threeBrain/inst/htmlwidgets/threejs_brain.js | 3 threeBrain-0.1.3/threeBrain/man/AbstractGeom.Rd | 3 threeBrain-0.1.3/threeBrain/man/DataCubeGeom.Rd |only threeBrain-0.1.3/threeBrain/man/GeomGroup.Rd | 3 threeBrain-0.1.3/threeBrain/man/SphereGeom.Rd | 3 threeBrain-0.1.3/threeBrain/man/brain_setup.Rd |only threeBrain-0.1.3/threeBrain/man/create_group.Rd | 11 threeBrain-0.1.3/threeBrain/man/freesurfer_brain.Rd |only threeBrain-0.1.3/threeBrain/man/geom_freemesh.Rd | 62 threeBrain-0.1.3/threeBrain/man/geom_sphere.Rd | 6 threeBrain-0.1.3/threeBrain/man/merge_brain.Rd |only threeBrain-0.1.3/threeBrain/man/ravepy.Rd |only threeBrain-0.1.3/threeBrain/man/read_fs_m3z.Rd |only threeBrain-0.1.3/threeBrain/man/read_fs_mgh_mgz.Rd |only threeBrain-0.1.3/threeBrain/man/renderBrain.Rd | 3 threeBrain-0.1.3/threeBrain/man/save_brain.Rd | 3 threeBrain-0.1.3/threeBrain/man/template_subject.Rd |only threeBrain-0.1.3/threeBrain/man/three_scatter.Rd | 17 threeBrain-0.1.3/threeBrain/man/threejsBrainOutput.Rd | 3 threeBrain-0.1.3/threeBrain/man/threejs_brain.Rd | 74 53 files changed, 27513 insertions(+), 42509 deletions(-)
Title: Data-Driven Identification of SVAR Models
Description: Implements data-driven identification methods for structural vector autoregressive (SVAR) models.
Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural
impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), patterns of GARCH (Normadin, M., Phaneuf, L. (2004) <doi:10.1016/j.jmoneco.2003.11.002>),
independent component analysis (Matteson, D. S, Tsay, R. S., (2013) <doi:10.1080/01621459.2016.1150851>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>),
smooth transition in variances (Luetkepohl, H., Netsunajev, A. (2017) <doi:10.1016/j.jedc.2017.09.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>)).
Author: Alexander Lange [aut, cre],
Bernhard Dalheimer [aut],
Helmut Herwartz [aut],
Simone Maxand [aut],
Hannes Riebl [ctb]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>
Diff between svars versions 1.3.1 dated 2019-07-25 and 1.3.2 dated 2019-09-10
DESCRIPTION | 8 MD5 | 29 +- R/boot_after_boot.R | 2 R/bootstrap_mb.R | 8 R/bootstrap_wild.R | 8 R/get_var_objects.R | 18 + R/hd.R | 49 ++- R/id.cv.R | 24 - R/id.st.R | 8 R/id_cv_boot.R | 10 R/id_st_boot.R | 8 R/plot.sboot.R | 64 +++- man/hd.Rd | 8 tests/testthat/test-input_object_classes.R |only tests/testthat/test-mb_boot.R | 372 ++++++++++++++-------------- tests/testthat/test-wild_boot.R | 374 ++++++++++++++--------------- 16 files changed, 536 insertions(+), 454 deletions(-)
Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications.
Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre],
Fanny Meyer [aut],
David Granjon [aut],
Ian Fellows [ctb] (Methods for mutating vertical tabs &
updateMultiInput),
Wil Davis [ctb] (numericRangeInput function),
SnapAppointments [cph] (bootstrap-select),
Mattia Larentis [ctb, cph] (Bootstrap Switch),
Emanuele Marchi [ctb, cph] (Bootstrap Switch),
Mark Otto [ctb] (Bootstrap library),
Jacob Thornton [ctb] (Bootstrap library),
Bootstrap contributors [ctb] (Bootstrap library),
Twitter, Inc [cph] (Bootstrap library),
Flatlogic [cph] (Awesome Bootstrap Checkbox),
mouse0270 [ctb, cph] (Material Design Switch),
Tristan Edwards [ctb, cph] (SweetAlert),
Fabian Lindfors [ctb, cph] (multi.js),
Anthony Terrien [ctb, cph] (jQuery Knob),
Daniel Eden [ctb, cph] (animate.css),
Ganapati V S [ctb, cph] (bttn.css),
Brian Grinstead [ctb, cph] (Spectrum),
Lokesh Rajendran [ctb, cph] (pretty-checkbox),
Leon Gersen [ctb, cph] (wnumb & noUiSlider),
Timofey Marochkin [ctb, cph] (air-datepicker),
Tobias Ahlin [ctb, cph] (CSS spin)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Diff between shinyWidgets versions 0.4.8 dated 2019-03-18 and 0.4.9 dated 2019-09-10
DESCRIPTION | 15 LICENSE | 6 MD5 | 245 ++++++++++----- NAMESPACE | 1 NEWS.md | 13 R/attachShinyWidgetsDep.R | 5 R/input-airDatepicker.R | 26 - R/input-checkboxgroupbuttons.R | 64 ++-- R/input-dropdown.R | 11 R/input-materialswitch.R | 31 + R/input-multi.R | 2 R/input-radiogroupbuttons.R | 63 ++- R/input-selectpicker.R | 6 R/module-pickerGroup.R | 117 +++++-- R/progressBars.R | 9 R/set-background.R | 66 ++-- R/sweetalert.R | 316 +++++++++++++------- R/useShinydashboardPlus.R | 2 R/useTablerDash.R |only R/utils.R | 12 R/vertical-tab.R | 90 +++-- README.md | 2 inst/www/air-datepicker/datepicker-bindings.js | 7 inst/www/air-datepicker/i18n/datepicker.tr.js |only inst/www/selectPicker/css/bootstrap-select.min.css | 6 inst/www/selectPicker/js/bootstrap-select.min.js | 18 - inst/www/selectPicker/js/i18n/defaults-am_ET.js |only inst/www/selectPicker/js/i18n/defaults-am_ET.js.map |only inst/www/selectPicker/js/i18n/defaults-am_ET.min.js |only inst/www/selectPicker/js/i18n/defaults-ar_AR.js |only inst/www/selectPicker/js/i18n/defaults-ar_AR.js.map |only inst/www/selectPicker/js/i18n/defaults-ar_AR.min.js | 16 - inst/www/selectPicker/js/i18n/defaults-bg_BG.js |only inst/www/selectPicker/js/i18n/defaults-bg_BG.js.map |only inst/www/selectPicker/js/i18n/defaults-bg_BG.min.js | 16 - inst/www/selectPicker/js/i18n/defaults-cs_CZ.js |only inst/www/selectPicker/js/i18n/defaults-cs_CZ.js.map |only inst/www/selectPicker/js/i18n/defaults-cs_CZ.min.js | 16 - inst/www/selectPicker/js/i18n/defaults-da_DK.js |only inst/www/selectPicker/js/i18n/defaults-da_DK.js.map |only inst/www/selectPicker/js/i18n/defaults-da_DK.min.js | 16 - inst/www/selectPicker/js/i18n/defaults-de_DE.js |only inst/www/selectPicker/js/i18n/defaults-de_DE.js.map |only inst/www/selectPicker/js/i18n/defaults-de_DE.min.js | 16 - inst/www/selectPicker/js/i18n/defaults-en_US.js |only inst/www/selectPicker/js/i18n/defaults-en_US.js.map |only inst/www/selectPicker/js/i18n/defaults-en_US.min.js | 14 inst/www/selectPicker/js/i18n/defaults-es_CL.js |only inst/www/selectPicker/js/i18n/defaults-es_CL.js.map |only inst/www/selectPicker/js/i18n/defaults-es_CL.min.js | 16 - 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inst/www/sw-dropdown/sw-dropdown.js | 45 ++ inst/www/sweetAlert/css/sweetalert2.min.css |only inst/www/sweetAlert/js/sweetalert2.all.min.js |only inst/www/sweetAlert/sweetalert-bindings.js | 84 ++--- inst/www/vertical-tab-panel/vertical-tab-panel.css | 40 +- inst/www/vertical-tab-panel/vertical-tab-panel.js | 28 + man/appendVerticalTab.Rd | 3 man/checkboxGroupButtons.Rd | 52 ++- man/confirmSweetAlert.Rd | 30 + man/dropdownButton.Rd | 4 man/inputSweetAlert.Rd | 114 +++++-- man/materialSwitch.Rd | 31 + man/pickerGroup-module.Rd | 61 +++ man/pickerInput.Rd | 6 man/progress-bar.Rd | 3 man/radioGroupButtons.Rd | 51 ++- man/sendSweetAlert.Rd | 11 man/setBackgroundColor.Rd | 10 man/setBackgroundImage.Rd | 9 man/updateMultiInput.Rd | 2 man/updateVerticalTabsetPanel.Rd | 2 man/useSweetAlert.Rd | 5 man/useTablerDash.Rd |only man/vertical-tab.Rd | 3 tests/testthat/test-SweetAlert.R | 22 - 165 files changed, 1460 insertions(+), 853 deletions(-)
Title: Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data
manipulation and visualization. Read/write 'las' and 'laz' files, computation
of metrics in area based approach, point filtering, artificial point reduction,
classification from geographic data, normalization, individual tree segmentation
and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph],
David Auty [aut, ctb] (Reviews the documentation),
Florian De Boissieu [ctb] (Fixed bugs and improved catalog features),
Andrew Sánchez Meador [ctb] (Implemented lassnags)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>
Diff between lidR versions 2.1.2 dated 2019-08-08 and 2.1.3 dated 2019-09-10
lidR-2.1.2/lidR/man/rOverlay.Rd |only lidR-2.1.2/lidR/src/C_Rfast.cpp |only lidR-2.1.2/lidR/src/C_algorithm-dec.cpp |only lidR-2.1.2/lidR/src/C_knn.cpp |only lidR-2.1.2/lidR/src/C_lasdetectshape.cpp |only lidR-2.1.2/lidR/src/C_lassmooth.cpp |only lidR-2.1.2/lidR/src/C_li2012.cpp |only lidR-2.1.2/lidR/src/C_lmf.cpp |only lidR-2.1.2/lidR/src/C_morphology.cpp |only lidR-2.1.2/lidR/src/C_p2r.cpp |only lidR-2.1.2/lidR/src/C_points_in_polygons.cpp |only lidR-2.1.2/lidR/src/C_points_in_polygons_wkt.cpp |only lidR-2.1.2/lidR/src/C_quadtree_unit_tests.cpp |only lidR-2.1.2/lidR/src/C_search.cpp |only lidR-2.1.2/lidR/src/C_tinfo.cpp |only lidR-2.1.2/lidR/src/C_tsearch.cpp |only lidR-2.1.2/lidR/src/C_wing2015.cpp |only lidR-2.1.2/lidR/src/RasterProcessors.cpp |only lidR-2.1.2/lidR/src/RasterProcessors.h |only lidR-2.1.2/lidR/src/lidr.h |only lidR-2.1.3/lidR/DESCRIPTION | 14 lidR-2.1.3/lidR/MD5 | 167 +--- lidR-2.1.3/lidR/NAMESPACE | 2 lidR-2.1.3/lidR/NEWS.md | 84 +- lidR-2.1.3/lidR/R/Class-LASheader.r | 2 lidR-2.1.3/lidR/R/RcppExports.R | 96 +- lidR-2.1.3/lidR/R/algorithm-dec.r | 8 lidR-2.1.3/lidR/R/algorithm-dsm.r | 17 lidR-2.1.3/lidR/R/algorithm-gnd.r | 27 lidR-2.1.3/lidR/R/algorithm-itd.R | 2 lidR-2.1.3/lidR/R/algorithm-shp.r | 2 lidR-2.1.3/lidR/R/catalog_apply.r | 5 lidR-2.1.3/lidR/R/clusters_apply.r | 74 + lidR-2.1.3/lidR/R/doc-parallelism.R | 10 lidR-2.1.3/lidR/R/grid_canopy.r | 3 lidR-2.1.3/lidR/R/grid_density.r | 2 lidR-2.1.3/lidR/R/grid_terrain.r | 2 lidR-2.1.3/lidR/R/io_readLAS.r | 4 lidR-2.1.3/lidR/R/io_readLAScatalog.r | 9 lidR-2.1.3/lidR/R/lascheck.r | 12 lidR-2.1.3/lidR/R/lasclip.r | 2 lidR-2.1.3/lidR/R/lasground.r | 30 lidR-2.1.3/lidR/R/lasmergespatial.r | 8 lidR-2.1.3/lidR/R/lasnormalize.r | 4 lidR-2.1.3/lidR/R/lasrescale.R |only lidR-2.1.3/lidR/R/lassmooth.r | 2 lidR-2.1.3/lidR/R/lastransform.r | 16 lidR-2.1.3/lidR/R/lasupdateheader.r | 4 lidR-2.1.3/lidR/R/methods-LAS.r | 58 + lidR-2.1.3/lidR/R/tree_detection.r | 2 lidR-2.1.3/lidR/R/utils_delaunay.R | 10 lidR-2.1.3/lidR/R/utils_geometry.r | 2 lidR-2.1.3/lidR/R/utils_metrics.r | 4 lidR-2.1.3/lidR/R/utils_raster.r | 3 lidR-2.1.3/lidR/R/utils_threads.r | 2 lidR-2.1.3/lidR/inst/WORDLIST | 79 + lidR-2.1.3/lidR/inst/doc/lidR-LAS-class.html | 42 - lidR-2.1.3/lidR/inst/doc/lidR-LAScatalog-class.html | 20 lidR-2.1.3/lidR/inst/doc/lidR-computation-speed-LAScatalog.html | 2 lidR-2.1.3/lidR/man/area.Rd | 2 lidR-2.1.3/lidR/man/catalog_apply.Rd | 5 lidR-2.1.3/lidR/man/lasnormalize.Rd | 4 lidR-2.1.3/lidR/man/lasrescale.Rd |only lidR-2.1.3/lidR/man/lidR-parallelism.Rd | 10 lidR-2.1.3/lidR/man/shape_detection.Rd | 2 lidR-2.1.3/lidR/man/stdmetrics.Rd | 4 lidR-2.1.3/lidR/src/BoundingBox.cpp | 13 lidR-2.1.3/lidR/src/BoundingBox.h | 1 lidR-2.1.3/lidR/src/C_dalponte2016.cpp | 2 lidR-2.1.3/lidR/src/LAS.cpp |only lidR-2.1.3/lidR/src/LAS.h |only lidR-2.1.3/lidR/src/QuadTree.cpp | 47 - lidR-2.1.3/lidR/src/QuadTree.h | 7 lidR-2.1.3/lidR/src/RcppExports.cpp | 415 ++++------ lidR-2.1.3/lidR/src/RcppFunction.cpp |only lidR-2.1.3/lidR/src/Shapes.cpp | 41 lidR-2.1.3/lidR/src/Shapes.h | 8 lidR-2.1.3/lidR/src/Triangulation.cpp |only lidR-2.1.3/lidR/src/Triangulation.h |only lidR-2.1.3/lidR/src/openmputils.cpp | 2 lidR-2.1.3/lidR/tests/testthat/Rplots.pdf |binary lidR-2.1.3/lidR/tests/testthat/test-LAS.R | 2 lidR-2.1.3/lidR/tests/testthat/test-LAScatalog.R | 1 lidR-2.1.3/lidR/tests/testthat/test-catalog_apply.R | 9 lidR-2.1.3/lidR/tests/testthat/test-grid_metrics.R | 42 - lidR-2.1.3/lidR/tests/testthat/test-internal_quadtree.R | 12 lidR-2.1.3/lidR/tests/testthat/test-lasclip.R | 34 lidR-2.1.3/lidR/tests/testthat/test-lasdetectedshape.R |only lidR-2.1.3/lidR/tests/testthat/test-lasfilter.R | 16 lidR-2.1.3/lidR/tests/testthat/test-lasfiltersurfacepoints.R | 2 lidR-2.1.3/lidR/tests/testthat/test-lasground.R | 15 lidR-2.1.3/lidR/tests/testthat/test-lasmergespatial.R | 50 - lidR-2.1.3/lidR/tests/testthat/test-lastranform.R |only lidR-2.1.3/lidR/tests/testthat/test-lasupdateheader.R | 7 lidR-2.1.3/lidR/tests/testthat/test-lasvoxelize.R | 2 lidR-2.1.3/lidR/tests/testthat/test-readLAS.R | 25 lidR-2.1.3/lidR/tests/testthat/test-tree_detection.R | 4 lidR-2.1.3/lidR/tests/testthat/test-utils_colors.R | 2 lidR-2.1.3/lidR/tests/testthat/test-utils_geometry.R | 61 - 99 files changed, 900 insertions(+), 779 deletions(-)
Title: Declare and Diagnose Research Designs
Description: Researchers can characterize and learn about the properties of
research designs before implementation using `DeclareDesign`. Ex ante
declaration and diagnosis of designs can help researchers clarify the
strengths and limitations of their designs and to improve their
properties, and can help readers evaluate a research strategy prior
to implementation and without access to results. It can also make it
easier for designs to be shared, replicated, and critiqued.
Author: Graeme Blair [aut, cre] (<https://orcid.org/0000-0001-9164-2102>),
Jasper Cooper [aut] (<https://orcid.org/0000-0002-8639-3188>),
Alexander Coppock [aut] (<https://orcid.org/0000-0002-5733-2386>),
Macartan Humphreys [aut] (<https://orcid.org/0000-0001-7029-2326>),
Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>
Diff between DeclareDesign versions 0.18.0 dated 2019-04-30 and 0.20.0 dated 2019-09-10
DESCRIPTION | 14 ++-- MD5 | 45 ++++++++------- NAMESPACE | 12 ++-- NEWS.md | 6 ++ R/aaa.R | 2 R/compare_designs.R | 62 +++++++++++++++++---- R/compare_diagnoses.R |only R/construct_design.R | 2 R/declare_assignment.R | 3 - R/declare_estimand.R | 4 - R/declare_reveal.R | 2 R/declare_sampling.R | 4 - R/design_print_summary.R | 6 +- R/draw_functions.R | 4 - R/get_functions.R | 18 ++++-- R/modify_design.R | 2 R/utilities.R | 3 - man/compare_diagnoses.Rd |only man/compare_functions.Rd | 10 +-- tests/testthat/test-allow-custom-functions.R | 1 tests/testthat/test-alternative-df-compatibility.R | 3 - tests/testthat/test-citation.R | 1 tests/testthat/test-compare-diagnoses.R |only tests/testthat/test-declare-design.R | 14 +--- tests/testthat/test-get-star.R | 16 +++++ 25 files changed, 155 insertions(+), 79 deletions(-)
Title: Species-Habitat Associations
Description: Analyse species-habitat associations in R. Therefore, information about the
location of the species is needed and about the environmental conditions. To test
for significance habitat associations, one of the two components is randomized.
Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and
Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Author: Maximillian H.K. Hesselbarth [aut, cre]
(<https://orcid.org/0000-0003-1125-9918>),
Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>)
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>
Diff between shar versions 1.0 dated 2019-08-08 and 1.0.1 dated 2019-09-10
shar-1.0.1/shar/DESCRIPTION | 6 shar-1.0.1/shar/MD5 | 28 shar-1.0.1/shar/NEWS.md | 136 - shar-1.0.1/shar/R/print.rd_mar.R | 168 +- shar-1.0.1/shar/R/print.rd_pat.R | 181 +- shar-1.0.1/shar/build/vignette.rds |binary shar-1.0.1/shar/inst/doc/get_started.R | 80 - shar-1.0.1/shar/inst/doc/get_started.html | 780 +++++------ shar-1.0.1/shar/man/figures/README-plot-random_pattern-1.png |binary shar-1.0.1/shar/man/figures/README-plot-random_pattern-2.png |binary shar-1.0.1/shar/man/figures/README-plot_habitat-random-1.png |binary shar-1.0.1/shar/man/print.rd_mar.Rd | 70 shar-1.0.1/shar/man/print.rd_pat.Rd | 84 - shar-1.0/shar/man/figures/README-plot-1.png |only shar-1.0/shar/man/figures/README-plot_habitat_random-1.png |only shar-1.0/shar/man/figures/README-plot_random_pattern-1.png |only shar-1.0/shar/man/figures/README-plot_random_pattern-2.png |only 17 files changed, 738 insertions(+), 795 deletions(-)
Title: Bayesian A/B Testing
Description: Provides functions for Bayesian A/B testing including prior elicitation
options based on Kass and Vaidyanathan (1992) <doi:10.1111/j.2517-6161.1992.tb01868.x>.
Author: Quentin F. Gronau [aut, cre],
Akash Raj [ctb],
Eric-Jan Wagenmakers [ths]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>
Diff between abtest versions 0.1.3 dated 2019-05-09 and 0.2.0 dated 2019-09-10
DESCRIPTION | 8 +- MD5 | 26 +++++--- NAMESPACE | 10 +++ NEWS | 8 ++ R/ab_methods.R |only R/ab_test.R | 27 --------- R/extractors.R |only R/plot_posterior.R | 53 +++++++++++++++++- R/plot_robustness.R |only R/plot_sequential.R | 79 ++++++++++++++++++++------- R/prob_wheel.R | 4 - man/ab-methods.Rd |only man/extractors.Rd |only man/plot_posterior.Rd | 10 +-- man/plot_robustness.Rd |only man/plot_sequential.Rd | 25 +++----- tests/testthat/test-ab_test_summary_method.R |only tests/testthat/test-plot_robustness.R |only 18 files changed, 168 insertions(+), 82 deletions(-)
Title: Adaptive Optimal Two-Stage Designs in R
Description: Optimize one or two-arm, two-stage designs for clinical trials with
respect to several pre-implemented objective criteria or implement custom
objectives.
Optimization under uncertainty and conditional (given stage-one outcome)
constraints are supported.
See Pilz M, Kunzmann K, Herrmann C, Rauch G, Kieser M. A variational
approach to optimal two-stage designs. Statistics in Medicine. 2019;1–13.
<doi:10.1002/sim.8291> for details.
Author: Kevin Kunzmann [aut, cre],
Maximilian Pilz [aut]
Maintainer: Kevin Kunzmann <kevin.kunzmann@mrc-bsu.cam.ac.uk>
Diff between adoptr versions 0.2.2 dated 2019-07-02 and 0.2.3 dated 2019-09-10
DESCRIPTION | 8 - MD5 | 91 ++++++++-------- NAMESPACE | 4 NEWS.md | 7 + R/CompositeScore.R | 26 +++- R/ConditionalPower.R | 18 ++- R/ConditionalSampleSize.R | 8 + R/ContinuousPrior.R | 14 +- R/DataDistribution.R | 13 +- R/OneStageDesign.R | 11 ++ R/PointMassPrior.R | 36 ++++-- R/Prior.R | 12 ++ R/Scores.R | 30 +++-- R/TwoStageDesign.R | 80 +++++++------- R/constraints.R | 23 ++-- R/minimize.R | 21 ++- R/regularization.R | 11 +- build/vignette.rds |binary inst/doc/adoptr.html | 152 ++++++++++++++-------------- inst/doc/composite-scores.html | 108 ++++++++++--------- inst/doc/conditional-scores.html | 128 ++++++++++++----------- inst/doc/defining-new-scores.html | 84 ++++++++------- inst/doc/working-with-priors.html | 54 +++++---- man/AverageN2-class.Rd | 4 man/ConditionalPower-class.Rd | 6 - man/ConditionalSampleSize-class.Rd | 6 - man/Constraints.Rd | 5 man/ContinuousPrior-class.Rd | 11 -- man/N1-class.Rd | 4 man/NormalDataDistribution-class.Rd | 3 man/PointMassPrior-class.Rd | 10 - man/Scores.Rd | 10 - man/TwoStageDesign-class.Rd | 12 -- man/composite.Rd | 4 man/minimize.Rd | 7 - man/plot-TwoStageDesign-method.Rd | 9 - man/print.adoptrOptimizationResult.Rd |only tests/testthat/Rplots.pdf |binary tests/testthat/test_ContinuousPrior.R | 17 ++- tests/testthat/test_DataDistribution.R | 14 +- tests/testthat/test_GroupSequentialDesign.R | 18 +-- tests/testthat/test_OneStageDesign.R | 9 - tests/testthat/test_PointMassPrior.R | 16 ++ tests/testthat/test_TwoStageDesign.R | 34 ++---- tests/testthat/test_composite.R | 8 - tests/testthat/test_constraints.R | 9 - tests/testthat/test_minimize.R | 12 ++ 47 files changed, 659 insertions(+), 508 deletions(-)
Title: Volume Approximation and Sampling of Convex Polytopes
Description: Provides an R interface for 'volesti' C++ package. 'volesti' computes
estimations of volume of polytopes given by a set of points or linear inequalities
or Minkowski sum of segments (zonotopes). There are two algorithms for volume
estimation (I.Z. Emiris and V. Fisikopoulos (2014) <arXiv:1312.2873> and
B. Cousins, S. Vempala (2016) <arXiv:1409.6011>) as well as algorithms for sampling,
rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for
estimating copulas (L. Cales, A. Chalkis, I.Z. Emiris, V. Fisikopoulos (2018)
<arXiv:1803.05861>).
Author: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com> [aut, cph, cre],
Apostolos Chalkis <tolis.chal@gmail.com> [cph, aut],
contributors in file inst/AUTHORS
Maintainer: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com>
Diff between volesti versions 1.0.2 dated 2019-06-03 and 1.0.3 dated 2019-09-10
volesti-1.0.2/volesti/inst/volesti.pdf |only volesti-1.0.3/volesti/DESCRIPTION | 8 +++---- volesti-1.0.3/volesti/MD5 | 11 ++++------ volesti-1.0.3/volesti/NEWS.md | 2 + volesti-1.0.3/volesti/src/Makevars | 2 - volesti-1.0.3/volesti/src/external/lpsolve/build/lp_solve/lp_MPS.c | 3 +- volesti-1.0.3/volesti/src/external/lpsolve/headers/include/lpkit.h | 2 - 7 files changed, 15 insertions(+), 13 deletions(-)
Title: Landscape Metrics for Categorical Map Patterns
Description: Calculates landscape metrics for categorical landscape patterns in
a tidy workflow. 'landscapemetrics' reimplements the most common metrics from
'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>)
and new ones from the current literature on landscape metrics.
This package supports 'raster' spatial objects and takes
RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the
'raster' package as input arguments. It further provides utility functions
to visualize patches, select metrics and building blocks to develop new
metrics.
Author: Maximillian H.K. Hesselbarth [aut, cre]
(<https://orcid.org/0000-0003-1125-9918>),
Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>),
Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>),
Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>),
Laura J. Graham [ctb] (Input on package structure),
Jeffrey Hollister [ctb] (Input on package structure),
Kimberly A. With [ctb] (Input on package structure),
Florian Privé [ctb] (Original author of underlying C++ code for
get_nearestneighbour() function),
Jeremy VanDerWal [ctb] (Original author of underlying C code for
get_patches() function),
Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>
Diff between landscapemetrics versions 1.2.1 dated 2019-08-07 and 1.2.2 dated 2019-09-10
DESCRIPTION | 6 - MD5 | 42 +++---- NAMESPACE | 7 + NEWS.md | 9 + R/extract_lsm.R | 1 R/get_adjacencies.R | 2 R/get_boundaries.R | 198 ++++++++++++++++++++--------------- R/get_patches.R | 6 - R/landscapemetrics-package.R | 4 R/lsm_p_circle.R | 4 R/lsm_p_core.R | 22 +-- R/lsm_p_enn.R | 3 R/lsm_p_ncore.R | 23 +--- R/pad_raster.R | 3 R/show_cores.R | 44 ++++--- R/unpad_raster.R |only inst/doc/getstarted.html | 4 man/get_boundaries.Rd | 20 ++- man/get_patches.Rd | 2 man/unpad_raster.Rd |only tests/testthat/test-get-boundaries.R | 18 +-- tests/testthat/test-pad-raster.R | 2 tests/testthat/test-scale-window.R | 4 23 files changed, 240 insertions(+), 184 deletions(-)
More information about landscapemetrics at CRAN
Permanent link
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 <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Diff between rfacebookstat versions 1.9.1 dated 2019-06-19 and 1.10.0 dated 2019-09-10
DESCRIPTION | 8 ++++---- MD5 | 17 ++++++++++------- NAMESPACE | 1 + NEWS.md | 7 +++++++ R/fbGetBusinessUserAdAccounts.R |only README.md | 7 ++++++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/rfacebookstat-get-statistics.html | 8 ++++---- inst/logo |only man/fbGetBusinessUserAdAccounts.Rd |only 11 files changed, 32 insertions(+), 16 deletions(-)
Title: Download and Process Public Domain Works from Project Gutenberg
Description: Download and process public domain works in the Project
Gutenberg collection <http://www.gutenberg.org/>. Includes metadata for
all Project Gutenberg works, so that they can be searched and retrieved.
Author: David Robinson [aut, cre]
Maintainer: David Robinson <admiral.david@gmail.com>
Diff between gutenbergr versions 0.1.4 dated 2018-01-26 and 0.1.5 dated 2019-09-10
DESCRIPTION | 13 +- MD5 | 14 +- NEWS.md | 6 + R/gutenberg_download.R | 6 - R/gutenberg_works.R | 3 README.md | 190 ++++++++++++++++--------------- build/vignette.rds |binary inst/doc/intro.html | 292 +++++++++++++++++++++++++++---------------------- 8 files changed, 286 insertions(+), 238 deletions(-)
Title: Interface with General Bikeshare Feed Specification Files
Description: Supplies a set of functions to interface with General Bikeshare
Feed Specification .json feeds in R, allowing users to save and accumulate
tidy .rds datasets for specified cities/bikeshare programs.
Author: Kaelyn Rosenberg [aut],
Simon P. Couch [aut, cre],
Mark Padgham [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>
Diff between gbfs versions 1.1.0 dated 2018-09-21 and 1.2.0 dated 2019-09-10
DESCRIPTION | 8 - MD5 | 31 ++--- NEWS.md |only R/get_dynamic_feeds.R | 123 +++++++++++++++------- R/get_gbfs.R | 40 +++---- R/get_static_feeds.R | 218 ++++++++++++++++++++++++++++++++-------- README.md | 82 ++++++++------- man/get_free_bike_status.Rd | 15 ++ man/get_gbfs_cities.Rd | 4 man/get_station_information.Rd | 20 ++- man/get_station_status.Rd | 12 +- man/get_system_alerts.Rd | 14 +- man/get_system_calendar.Rd | 14 +- man/get_system_hours.Rd | 14 +- man/get_system_information.Rd | 14 +- man/get_system_pricing_plans.Rd | 15 +- man/get_system_regions.Rd | 14 +- 17 files changed, 440 insertions(+), 198 deletions(-)
Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly
needed for production level projects such as logging, error handling,
and cache management.
Author: Jonathan Callahan [aut, cre],
Spencer Pease [aut],
Thomas Bergamaschi [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Diff between MazamaCoreUtils versions 0.3.1 dated 2019-08-20 and 0.3.5 dated 2019-09-10
MazamaCoreUtils-0.3.1/MazamaCoreUtils/R/data.R |only MazamaCoreUtils-0.3.1/MazamaCoreUtils/data |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/DESCRIPTION | 6 MazamaCoreUtils-0.3.5/MazamaCoreUtils/MD5 | 58 +++-- MazamaCoreUtils-0.3.5/MazamaCoreUtils/NAMESPACE | 3 MazamaCoreUtils-0.3.5/MazamaCoreUtils/NEWS.md | 43 ++++ MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/MazamaCoreUtils.R |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/cacheManagement.R | 19 + MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/dateRange.R | 100 +++++----- MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/errorHandling.R | 38 ++- MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/functionArgument_linting.R | 10 - MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/initializeLogging.R | 13 - MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/parseDatetime.R | 19 + MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/pylogger.R | 14 - MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/setIfNull.R |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/stopIfNull.R |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/R/timeRange.R | 70 +++---- MazamaCoreUtils-0.3.5/MazamaCoreUtils/README.md | 1 MazamaCoreUtils-0.3.5/MazamaCoreUtils/inst/doc/error-handling.html | 10 - MazamaCoreUtils-0.3.5/MazamaCoreUtils/inst/doc/logging.html | 32 +-- MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/MazamaCoreUtils.Rd |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/dateRange.Rd | 37 --- MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/manageCache.Rd | 4 MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/parseDatetime.Rd | 6 MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/setIfNull.Rd |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/stopIfNull.Rd |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/stopOnError.Rd | 6 MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/timeRange.Rd | 14 + MazamaCoreUtils-0.3.5/MazamaCoreUtils/man/timezoneLintRules.Rd | 14 - MazamaCoreUtils-0.3.5/MazamaCoreUtils/tests/testthat/test-dateRange.R | 68 +++++- MazamaCoreUtils-0.3.5/MazamaCoreUtils/tests/testthat/test-initializeLogging.R | 2 MazamaCoreUtils-0.3.5/MazamaCoreUtils/tests/testthat/test-parseDatetime.R | 3 MazamaCoreUtils-0.3.5/MazamaCoreUtils/tests/testthat/test-setIfNull.R |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/tests/testthat/test-stopIfNull.R |only MazamaCoreUtils-0.3.5/MazamaCoreUtils/tests/testthat/test-timeRange.R | 48 ++++ 35 files changed, 395 insertions(+), 243 deletions(-)
More information about MazamaCoreUtils at CRAN
Permanent link
Title: Reliable Comparison of Floating Point Numbers
Description: Comparisons of floating point numbers are problematic due to errors
associated with the binary representation of decimal numbers.
Despite being aware of these problems, people still use numerical methods
that fail to account for these and other rounding errors (this pitfall is
the first to be highlighted in Circle 1 of Burns (2012)
'The R Inferno' <http://www.burns-stat.com/pages/Tutor/R_inferno.pdf>).
This package provides new relational operators useful for performing
floating point number comparisons with a set tolerance.
Author: Alex M Chubaty [aut, cre],
Her Majesty the Queen in Right of Canada, as represented by the
Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>
Diff between fpCompare versions 0.2.2 dated 2018-06-12 and 0.2.3 dated 2019-09-10
DESCRIPTION | 12 ++++++------ MD5 | 8 ++++---- NEWS.md | 4 ++++ build/vignette.rds |binary inst/doc/fpCompare.pdf |binary 5 files changed, 14 insertions(+), 10 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-05-11 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-08-26 1.2
Title: High-Throughput Toxicokinetics
Description: Functions and data tables for simulation and statistical analysis
of chemical toxicokinetics ("TK") as in Pearce et al. (2017)
<doi:10.18637/jss.v079.i04>. Chemical-specific in vitro
data have been obtained from relatively high throughput
experiments. Both physiologically-based ("PBTK") and empirical
(e.g., one compartment) "TK" models can be parameterized for
several hundred chemicals and multiple species. These models are
solved efficiently, often using compiled (C-based) code. A Monte
Carlo sampler is included for simulating biological variability
(Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>)
and measurement limitations. Calibrated methods are included for
predicting tissue:plasma partition coefficients and volume of
distribution
(Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>).
These functions and data provide a set of tools for
in vitro-in vivo extrapolation ("IVIVE") of high throughput
screening data (e.g., Tox21, ToxCast) to real-world exposures via
reverse dosimetry (also known as "RTK")
(Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
Author: John Wambaugh [aut, cre],
Robert Pearce [aut],
Caroline Ring [aut],
Greg Honda [aut],
Mark Sfeir [aut],
Jimena Davis [ctb],
James Sluka [ctb],
Nisha Sipes [ctb],
Barbara Wetmore [ctb],
Woodrow Setzer [ctb]
Maintainer: John Wambaugh <wambaugh.john@epa.gov>
Diff between httk versions 1.10.0 dated 2019-07-11 and 1.10.1 dated 2019-09-10
httk-1.10.0/httk/R/Calc_Hepatic_Clearance.r |only httk-1.10.0/httk/R/Calc_elimination_rate.R |only httk-1.10.0/httk/R/Calc_ratioblood2plasma.R |only httk-1.10.0/httk/R/Calc_timecourse_peak.r |only httk-1.10.0/httk/R/Calc_total_clearance.R |only httk-1.10.0/httk/R/Calc_volume_of_distribution.R |only httk-1.10.0/httk/R/Export_PBTK_Jarnac.R |only httk-1.10.0/httk/R/Export_PBTK_SBML.R |only httk-1.10.0/httk/R/Get_invitroPK_param.r |only httk-1.10.0/httk/R/Get_physchem_param.r |only httk-1.10.0/httk/R/Parameterize_3comp.r |only httk-1.10.0/httk/R/Parameterize_PBTK.r |only httk-1.10.0/httk/R/Parameterize_SteadyState.R |only httk-1.10.0/httk/R/Predict_partitioning_Schmitt.R |only httk-1.10.1/httk/DESCRIPTION | 8 httk-1.10.1/httk/MD5 | 307 httk-1.10.1/httk/NEWS |binary httk-1.10.1/httk/R/3compPBPKmodel_inits.R |only httk-1.10.1/httk/R/available_rblood2plasma.R | 2 httk-1.10.1/httk/R/calc_analytic_css_3compss.R | 1 httk-1.10.1/httk/R/calc_css.R | 2 httk-1.10.1/httk/R/calc_elimination_rate.R |only httk-1.10.1/httk/R/calc_hepatic_clearance.R |only httk-1.10.1/httk/R/calc_mc_css.R | 2 httk-1.10.1/httk/R/calc_mc_oral_equiv.R | 2 httk-1.10.1/httk/R/calc_ratioblood2plasma.R |only httk-1.10.1/httk/R/calc_stats.R | 2 httk-1.10.1/httk/R/calc_timecourse_peak.R |only httk-1.10.1/httk/R/calc_total_clearance.R |only httk-1.10.1/httk/R/calc_volume_of_distribution.R |only httk-1.10.1/httk/R/convert_httk.R | 5 httk-1.10.1/httk/R/data.R | 800 httk-1.10.1/httk/R/do_initial_dose_pbtk.R |only httk-1.10.1/httk/R/export_pbtk_jarnac.R |only httk-1.10.1/httk/R/export_pbtk_sbml.R |only httk-1.10.1/httk/R/get_Wetmore_Css.R | 2 httk-1.10.1/httk/R/get_Wetmore_Oral_Equiv.R | 2 httk-1.10.1/httk/R/get_chem_id.R | 77 httk-1.10.1/httk/R/get_invitropk_param.R |only httk-1.10.1/httk/R/get_physchem_param.R |only httk-1.10.1/httk/R/httk-package.R | 2499 - httk-1.10.1/httk/R/modelinfo_1comp.R | 2 httk-1.10.1/httk/R/modelinfo_3comp.R | 2 httk-1.10.1/httk/R/modelinfo_PBTK.R | 2 httk-1.10.1/httk/R/monte_carlo.R | 2 httk-1.10.1/httk/R/parameterize_1comp.R | 2 httk-1.10.1/httk/R/parameterize_3comp.R |only httk-1.10.1/httk/R/parameterize_pbtk.R |only httk-1.10.1/httk/R/parameterize_steadystate.R |only httk-1.10.1/httk/R/predict_partitioning_schmitt.R |only httk-1.10.1/httk/R/solve_1comp.R | 580 httk-1.10.1/httk/R/solve_3comp.R | 575 httk-1.10.1/httk/R/solve_pbtk.R | 760 httk-1.10.1/httk/R/sysdata.rda |binary httk-1.10.1/httk/build/httk.pdf |18568 ++++------ httk-1.10.1/httk/build/vignette.rds |binary httk-1.10.1/httk/data/Tables.RData |binary httk-1.10.1/httk/data/armitage_input.RData |binary httk-1.10.1/httk/data/datalist | 2 httk-1.10.1/httk/data/httkpop.RData |binary httk-1.10.1/httk/data/vignettes.RData |binary httk-1.10.1/httk/data/wambaugh2019.RData |binary httk-1.10.1/httk/data/well_param.RData |binary httk-1.10.1/httk/inst/doc/Honda_2019_updated_armitage.html | 13 httk-1.10.1/httk/inst/doc/Pearce_2017_partitioning_plots.Rmd | 4 httk-1.10.1/httk/inst/doc/Pearce_2017_partitioning_plots.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_age_dist.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_age_dist.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_globalsensitivityanalysis.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_globalsensitivityanalysis.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_globalsensitivityplot.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_globalsensitivityplot.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_heightweight_splines_kde.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_heightweight_splines_kde.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_hematocrit_splines.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_hematocrit_splines.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_plot_css95.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_plot_css95.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_serumcreat_splines_kde.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_supplemental_vignette_serumcreat_splines_kde.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_vignette01_subpopulations.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_vignette01_subpopulations.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_vignette02_evalmodelsubpop.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_vignette02_evalmodelsubpop.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_vignette03_paper_fig2.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_vignette03_paper_fig2.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_vignette04_paper_fig3.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_vignette04_paper_fig3.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_vignette05b_plothowgatejohnson.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_vignette05b_plothowgatejohnson.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_vignette06_aerplotting.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_vignette06_aerplotting.html | 13 httk-1.10.1/httk/inst/doc/Ring_2017_vignette_05a_virtualstudypops.Rmd | 4 httk-1.10.1/httk/inst/doc/Ring_2017_vignette_05a_virtualstudypops.html | 13 httk-1.10.1/httk/inst/doc/Wambaugh_2018_Figures.html | 9 httk-1.10.1/httk/inst/doc/Wambaugh_2019_figures.R | 6 httk-1.10.1/httk/inst/doc/Wambaugh_2019_figures.html | 9 httk-1.10.1/httk/man/Obach2008.Rd | 14 httk-1.10.1/httk/man/ToxCast2015subset.Rd | 2 httk-1.10.1/httk/man/Wetmore.data.Rd | 7 httk-1.10.1/httk/man/Wetmore2012.Rd | 7 httk-1.10.1/httk/man/age_dist_smooth.Rd | 30 httk-1.10.1/httk/man/armitage_input.Rd | 39 httk-1.10.1/httk/man/calc_css.Rd | 3 httk-1.10.1/httk/man/calc_elimination_rate.Rd | 2 httk-1.10.1/httk/man/calc_hepatic_clearance.Rd | 2 httk-1.10.1/httk/man/calc_mc_css.Rd | 6 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httk-1.10.1/httk/vignettes/Ring_2017_vignette02_evalmodelsubpop.Rmd | 4 httk-1.10.1/httk/vignettes/Ring_2017_vignette03_paper_fig2.Rmd | 4 httk-1.10.1/httk/vignettes/Ring_2017_vignette04_paper_fig3.Rmd | 4 httk-1.10.1/httk/vignettes/Ring_2017_vignette05b_plothowgatejohnson.Rmd | 4 httk-1.10.1/httk/vignettes/Ring_2017_vignette06_aerplotting.Rmd | 4 httk-1.10.1/httk/vignettes/Ring_2017_vignette_05a_virtualstudypops.Rmd | 4 170 files changed, 11747 insertions(+), 15394 deletions(-)
Title: Homogenous Segmentation for Spatial Lines Data
Description: Methods of homogenous segmentation for spatial lines data, such as pavement
performance indicators and traffic volumes. Three methods are available for
homogenous segmentation, including cumulative difference approach, minimization
coefficient of variation, and spatial heterogeneity based method.
Author: Yongze Song [aut, cre] (<https://orcid.org/0000-0003-3420-9622>)
Maintainer: Yongze Song <yongze.song@postgrad.curtin.edu.au>
Diff between HS versions 1.0 dated 2019-04-12 and 1.1 dated 2019-09-10
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