Title: Washington Soil Health Initiative Branding
Description: Create plots and tables in a consistent style with WaSHI
(Washington Soil Health Initiative) branding. Use 'washi' to easily
style your 'ggplot2' plots and 'flextable' tables.
Author: Jadey Ryan [aut, cre],
Molly Mcilquham [aut],
Dani Gelardi [aut],
Washington State Department of Agriculture [cph, fnd]
Maintainer: Jadey Ryan <jryan@agr.wa.gov>
Diff between washi versions 0.1.0 dated 2023-05-19 and 0.2.0 dated 2023-09-07
washi-0.1.0/washi/inst/fonts/Lato-BlackItalic.ttf |only washi-0.1.0/washi/inst/fonts/Lato-BoldItalic.ttf |only washi-0.1.0/washi/inst/fonts/Lato-Light.ttf |only washi-0.1.0/washi/inst/fonts/Lato-LightItalic.ttf |only washi-0.1.0/washi/inst/fonts/Lato-Thin.ttf |only washi-0.1.0/washi/inst/fonts/Lato-ThinItalic.ttf |only washi-0.1.0/washi/inst/fonts/Poppins-Black.ttf |only washi-0.1.0/washi/inst/fonts/Poppins-BlackItalic.ttf |only washi-0.1.0/washi/inst/fonts/Poppins-BoldItalic.ttf |only washi-0.1.0/washi/inst/fonts/Poppins-Light.ttf |only washi-0.1.0/washi/inst/fonts/Poppins-LightItalic.ttf |only washi-0.1.0/washi/inst/fonts/Poppins-Thin.ttf |only washi-0.1.0/washi/inst/fonts/Poppins-ThinItalic.ttf |only washi-0.1.0/washi/man/figures/README-googlefonts.png |only washi-0.1.0/washi/man/washi_import_fonts.Rd |only washi-0.2.0/washi/DESCRIPTION | 12 washi-0.2.0/washi/MD5 | 58 - washi-0.2.0/washi/NAMESPACE | 1 washi-0.2.0/washi/NEWS.md | 7 washi-0.2.0/washi/R/flextable.R | 204 +-- washi-0.2.0/washi/R/fonts.R | 127 +- washi-0.2.0/washi/R/palettes.R | 412 +++---- washi-0.2.0/washi/R/scales.R | 142 +- washi-0.2.0/washi/R/theme.R | 550 ++++------ washi-0.2.0/washi/README.md | 86 - washi-0.2.0/washi/man/figures/README-agg.png |only washi-0.2.0/washi/man/figures/README-barplot-1.png |binary washi-0.2.0/washi/man/figures/README-color_blind-1.png |binary washi-0.2.0/washi/man/figures/README-green_gradient-1.png |binary washi-0.2.0/washi/man/figures/README-install-fonts-mac.png |only washi-0.2.0/washi/man/figures/README-install-fonts-windows.png |only washi-0.2.0/washi/man/figures/README-plot-workflow-1.png |binary washi-0.2.0/washi/man/figures/README-scatter-plot-1.png |binary washi-0.2.0/washi/man/figures/README-standard-1.png |binary washi-0.2.0/washi/man/washi_flextable.Rd | 99 + washi-0.2.0/washi/man/washi_install_fonts.Rd | 4 washi-0.2.0/washi/man/washi_theme.Rd | 282 ++--- washi-0.2.0/washi/tests/testthat/test-fonts.R | 5 washi-0.2.0/washi/tests/testthat/test-theme.R | 161 +- 39 files changed, 1088 insertions(+), 1062 deletions(-)
Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Diff between sasLM versions 0.9.11 dated 2023-08-09 and 0.9.12 dated 2023-09-07
sasLM-0.9.11/sasLM/inst/doc/Report-Different-Simplest2307140927.pdf |only sasLM-0.9.11/sasLM/inst/doc/Report-NOT-OKs2307140927.pdf |only sasLM-0.9.11/sasLM/inst/doc/Validation-Report-GLM-2307140928.pdf |only sasLM-0.9.12/sasLM/DESCRIPTION | 6 ++-- sasLM-0.9.12/sasLM/MD5 | 14 +++++----- sasLM-0.9.12/sasLM/R/RRinv.R | 4 +- sasLM-0.9.12/sasLM/inst/NEWS.Rd | 7 +++++ sasLM-0.9.12/sasLM/inst/doc/Report-Different-Simplest2308290852.pdf |only sasLM-0.9.12/sasLM/inst/doc/Report-NOT-OKs2308290853.pdf |only sasLM-0.9.12/sasLM/inst/doc/Validation-Report-GLM-2308290853.pdf |only sasLM-0.9.12/sasLM/inst/doc/sasLM-manual.pdf |binary 11 files changed, 19 insertions(+), 12 deletions(-)
Title: Bayesian Clustering of Multivariate Data Under the
Dirichlet-Process Prior
Description: A Bayesian clustering method for replicated time series or replicated measurements from multiple experimental conditions, e.g., time-course gene expression data. It estimates the number of clusters directly from the data using a Dirichlet-process prior. See Fu, A. Q., Russell, S., Bray, S. and Tavare, S. (2013) Bayesian clustering of replicated time-course gene expression data with weak signals. The Annals of Applied Statistics. 7(3) 1334-1361. <doi:10.1214/13-AOAS650>.
Author: Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray and Simon Tavare
Maintainer: Audrey Q. Fu <audreyqyfu@gmail.com>
Diff between DIRECT versions 1.0.1 dated 2016-04-01 and 1.1.0 dated 2023-09-07
DESCRIPTION | 8 ++++---- MD5 | 13 +++++++------ NAMESPACE | 2 +- R/plotClustersMean.R | 7 ++++++- man/DIRECT-package.Rd | 8 -------- man/DIRECT.Rd | 10 ++++++++++ src/init.c |only src/relabel_R.c | 13 +++++++------ 8 files changed, 35 insertions(+), 26 deletions(-)
Title: 'shiny' Application to Use the Stochastic Block Model
Description: A 'shiny' interface for a simpler use of the 'sbm' R package.
It also contains useful functions to easily explore the 'sbm' package results.
With this package you should be able to use the stochastic block model
without any knowledge in R, get automatic reports and nice visuals, as
well as learning the basic functions of 'sbm'.
Author: Theodore Vanrenterghem [cre, aut],
Julie Aubert [aut] ,
Saint-Clair Chabert-Liddell [aut]
,
grossBM team [ctb],
Golem User [cph]
Maintainer: Theodore Vanrenterghem <shiny.sbm.dev@gmail.com>
Diff between shinySbm versions 0.1.4 dated 2023-09-07 and 0.1.5 dated 2023-09-07
DESCRIPTION | 6 LICENSE | 4 MD5 | 178 NAMESPACE | 86 R/FungusTreeNetwork.R | 90 R/app_config.R | 88 R/app_server.R | 126 R/fct_ICL_plot.R | 130 R/fct_adjacency_to_edges.R | 592 - R/fct_errorHandeling.R | 234 R/fct_flextables.R | 582 - R/fct_is_bipartite.R | 158 R/fct_sbmMatrixClass.R | 1338 +-- R/fct_shapes_list.R | 30 R/fct_specific_css_style.R | 162 R/fct_visSbm.R | 952 +- R/golem_utils_server.R | 126 R/golem_utils_ui.R | 810 +- R/mod_help_to_import.R | 280 R/mod_network_code.R | 296 R/mod_sbm_code.R | 222 R/mod_select_nb_groups.R | 298 R/mod_show_code.R | 284 R/mod_show_group_names.R | 86 R/mod_tab_about_us.R | 158 R/mod_tab_extraction.R | 462 - R/mod_tab_network.R | 712 - R/mod_tab_report.R | 256 R/mod_tab_show.R | 674 - R/mod_upload_code.R | 184 R/utils-pipe.R | 28 README.md | 182 build/vignette.rds |binary data/FungusTreeNetwork.rda |binary inst/app/www/README.html | 976 +- inst/app/www/style.css | 22 inst/doc/ShinySbmApp.R | 116 inst/doc/ShinySbmApp.Rmd | 240 inst/doc/ShinySbmApp.html |11554 ++++++++++++++--------------- inst/golem-config.yml | 16 inst/r_files/R_template.R | 82 inst/rmd/child_empty_en.Rmd | 6 inst/rmd/child_empty_fr.Rmd | 6 inst/rmd/child_imported_en.Rmd | 12 inst/rmd/child_imported_fr.Rmd | 12 inst/rmd/child_imported_visual.Rmd | 18 inst/rmd/child_sbm_en.Rmd | 246 inst/rmd/child_sbm_fr.Rmd | 252 inst/rmd/child_sbm_visual.Rmd | 38 inst/rmd/child_setup.Rmd | 96 inst/rmd/summary_template_en.Rmd | 116 inst/rmd/summary_template_fr.Rmd | 116 inst/tables/shape_list.csv | 8 man/FungusTreeNetwork.Rd | 106 man/get_adjacency.Rd | 94 man/get_adjacency.default.Rd | 94 man/get_block.BipartiteSBM_fit.Rd | 100 man/get_block.Rd | 134 man/get_block.SimpleSBM_fit.Rd | 92 man/get_flextable.Rd | 138 man/plotSbm.BipartiteSBM_fit.Rd | 114 man/plotSbm.Rd | 160 man/plotSbm.SimpleSBM_fit.Rd | 114 man/plotSbm.default.Rd | 62 man/plotSbm.matrix.Rd | 112 man/shinySbmApp.Rd | 100 man/visSbm.BipartiteSBM_fit.Rd | 152 man/visSbm.Rd | 186 man/visSbm.SimpleSBM_fit.Rd | 144 man/visSbm.default.Rd | 106 tests/spelling.R | 6 tests/testthat.R | 24 tests/testthat/test-golem-recommended.R | 148 tests/testthat/test-golem_utils_server.R | 108 tests/testthat/test-golem_utils_ui.R | 354 tests/testthat/test-mod_help_to_import.R | 76 tests/testthat/test-mod_network_code.R | 76 tests/testthat/test-mod_sbm_code.R | 76 tests/testthat/test-mod_select_nb_groups.R | 76 tests/testthat/test-mod_show_code.R | 76 tests/testthat/test-mod_show_group_names.R | 76 tests/testthat/test-mod_tab_about_us.R | 76 tests/testthat/test-mod_tab_extraction.R | 76 tests/testthat/test-mod_tab_network.R | 76 tests/testthat/test-mod_tab_report.R | 76 tests/testthat/test-mod_tab_sbm.R | 76 tests/testthat/test-mod_tab_show.R | 76 tests/testthat/test-mod_tab_upload.R | 76 tests/testthat/test-mod_upload_code.R | 76 vignettes/ShinySbmApp.Rmd | 240 90 files changed, 13847 insertions(+), 13851 deletions(-)
Title: Preparation, Checking and Post-Processing Data for PK/PD
Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Attention is paid to ensure consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre]
Maintainer: Philip Delff <philip@delff.dk>
Diff between NMdata versions 0.1.0 dated 2023-07-07 and 0.1.1 dated 2023-09-07
NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData11.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData13.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData14.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData15.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData15b.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData16.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData17.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData18.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData20.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData22.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData22b.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData23.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData24.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData25.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData27.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData28.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData28b.rds |only NMdata-0.1.0/NMdata/tests/testthat/testReference/NMscanData3.rds |only NMdata-0.1.1/NMdata/DESCRIPTION | 6 NMdata-0.1.1/NMdata/MD5 | 103 +++---- NMdata-0.1.1/NMdata/NEWS.md | 18 + NMdata-0.1.1/NMdata/R/NMcheckData.R | 65 +++- NMdata-0.1.1/NMdata/R/NMcheckDataFile.R | 34 +- NMdata-0.1.1/NMdata/R/NMextractText.R | 2 NMdata-0.1.1/NMdata/R/NMorderColumns.R | 15 - NMdata-0.1.1/NMdata/R/NMreadSection.R | 14 - NMdata-0.1.1/NMdata/R/NMscanData.R | 2 NMdata-0.1.1/NMdata/R/NMscanInput.R | 19 - NMdata-0.1.1/NMdata/R/NMscanMultiple.R | 21 + NMdata-0.1.1/NMdata/R/NMscanTables.R | 8 NMdata-0.1.1/NMdata/R/NMwriteSection.R | 2 NMdata-0.1.1/NMdata/R/NMwriteSectionOne.R | 13 NMdata-0.1.1/NMdata/R/compareCols.R | 5 NMdata-0.1.1/NMdata/R/lstExtractTime.R | 6 NMdata-0.1.1/NMdata/R/searchColRow.R | 22 - NMdata-0.1.1/NMdata/man/NMcheckData.Rd | 7 NMdata-0.1.1/NMdata/man/NMcheckDataFile.Rd | 17 - NMdata-0.1.1/NMdata/man/NMorderColumns.Rd | 10 NMdata-0.1.1/NMdata/man/NMscanInput.Rd | 11 NMdata-0.1.1/NMdata/man/NMscanMultiple.Rd | 7 NMdata-0.1.1/NMdata/man/lstExtractTime.Rd | 8 NMdata-0.1.1/NMdata/man/searchColRow.Rd | 25 - NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData4.rds |binary NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_03.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_11.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_13.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_14.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_15b.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_16.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_17.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_18.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_20.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_22.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_22b.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_23.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_24.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_25.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_27.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_28.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_28b.rds |only NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_30.rds |binary NMdata-0.1.1/NMdata/tests/testthat/testReference/NMscanData_31.rds |binary NMdata-0.1.1/NMdata/tests/testthat/test_NMcheckColnames.R | 4 NMdata-0.1.1/NMdata/tests/testthat/test_NMcheckData.R | 51 ++- NMdata-0.1.1/NMdata/tests/testthat/test_NMcheckDataFile.R | 6 NMdata-0.1.1/NMdata/tests/testthat/test_NMdata_utils.R | 4 NMdata-0.1.1/NMdata/tests/testthat/test_NMscanData.R | 131 +++++----- NMdata-0.1.1/NMdata/tests/testthat/test_NMscanMultiple.R | 2 NMdata-0.1.1/NMdata/tests/testthat/test_compareCols.R | 20 - NMdata-0.1.1/NMdata/tests/testthat/test_egdt.R | 2 70 files changed, 382 insertions(+), 278 deletions(-)
Title: Volumetric Analysis using Graphic Double Integration
Description: Tools implementing an automated version of the graphic double integration technique (GDI) for volume implementation, and some other related utilities for paleontological image-analysis. GDI was first employed by Jerison (1973) <ISBN:9780323141086> and Hurlburt (1999) <doi:10.1080/02724634.1999.10011145> and is primarily used for volume or mass estimation of (extinct) animals. The package 'gdi' aims to make this technique as convenient and versatile as possible. The core functions of 'gdi' provide utilities for automatically measuring diameters from digital silhouettes provided as image files and calculating volume via graphic double integration with simple elliptical, superelliptical (following Motani 2001 <doi:10.1666/0094-8373(2001)027%3C0735:EBMFST%3E2.0.CO;2>) or complex cross-sectional models. Additionally, the package provides functions for estimating the center of mass position (COM), the moment of inertia (I) for 3D shapes and the second moment of area (Ix) of [...truncated...]
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>
Diff between gdi versions 1.4.1 dated 2023-08-07 and 1.5.4 dated 2023-09-07
DESCRIPTION | 10 MD5 | 39 ++- NAMESPACE | 2 NEWS.md | 44 +++ R/gdi.r | 478 ++++++++++++++++++++++++++++++++++++------- build/vignette.rds |binary inst/doc/estimating_COM.R | 4 inst/doc/estimating_COM.Rmd | 4 inst/doc/estimating_COM.html | 49 +++- inst/doc/misc.R |only inst/doc/misc.Rmd |only inst/doc/misc.html |only inst/exdata/femur.png |only man/csI.Rd |only man/cscorr.Rd | 14 - man/fdetect.Rd | 12 - man/gdi.Rd | 2 man/imghist.Rd | 14 - man/measuresil.Rd | 4 man/plot_sil.Rd | 6 man/rotI.Rd |only tests/testthat/test-tests.R | 45 +++- vignettes/estimating_COM.Rmd | 4 vignettes/misc.Rmd |only 24 files changed, 596 insertions(+), 135 deletions(-)
Title: Disaggregation Modelling
Description: Fits disaggregation regression models using 'TMB' ('Template Model
Builder'). When the response data are aggregated to polygon level but
the predictor variables are at a higher resolution, these models can be
useful. Regression models with spatial random fields. The package is
described in detail in Nandi et al. (2023) <doi:10.18637/jss.v106.i11>.
Author: Anita Nandi [aut] ,
Tim Lucas [aut, cre] ,
Rohan Arambepola [aut],
Andre Python [aut]
Maintainer: Tim Lucas <timcdlucas@gmail.com>
Diff between disaggregation versions 0.2.0 dated 2023-04-28 and 0.2.1 dated 2023-09-07
DESCRIPTION | 13 MD5 | 56 NAMESPACE | 2 R/build_mesh.R | 169 - R/extract.R | 412 ++-- R/fit_model.R | 10 R/matching.R | 106 - R/plotting.R | 55 R/predict.R | 6 R/prepare_data.R | 2 build/vignette.rds |binary inst/doc/disaggregation.R | 182 - inst/doc/disaggregation.Rmd | 16 inst/doc/disaggregation.html | 1013 +++++----- man/build_mesh.Rd | 2 man/fit_model.Rd | 296 +- man/getStartendindex.Rd | 84 man/make_model_object.Rd | 248 +- man/plot.disag_data.Rd | 48 man/plot.disag_model.Rd | 44 man/plot.disag_prediction.Rd | 44 src/Makevars.win | 1 tests/testthat/test-plotting.R | 246 +- tests/testthat/test-predict-model.R | 60 tests/testthat/test-summary.R | 24 vignettes/disaggregation.Rmd | 16 vignettes/disaggregation_files/figure-html/unnamed-chunk-10-1.png |binary vignettes/disaggregation_files/figure-html/unnamed-chunk-7-1.png |binary vignettes/disaggregation_files/figure-html/unnamed-chunk-9-1.png |binary 29 files changed, 1671 insertions(+), 1484 deletions(-)
More information about disaggregation at CRAN
Permanent link
Title: Group Animal Relocation Data by Spatial and Temporal
Relationship
Description: Detects spatial and temporal groups in GPS relocations
(Robitaille et al. (2019) <doi:10.1111/2041-210X.13215>). It can be
used to convert GPS relocations to gambit-of-the-group format to build
proximity-based social networks In addition, the randomizations
function provides data-stream randomization methods suitable for GPS
data.
Author: Alec L. Robitaille [aut, cre] ,
Quinn Webber [aut] ,
Eric Vander Wal [aut]
Maintainer: Alec L. Robitaille <robit.alec@gmail.com>
Diff between spatsoc versions 0.1.16 dated 2021-02-24 and 0.2.2 dated 2023-09-07
DESCRIPTION | 63 +- MD5 | 116 ++--- NEWS.md | 51 +- R/build_lines.R | 94 ++-- R/build_polys.R | 146 +++--- R/dyads.R | 1 R/edge_dist.R | 31 - R/edge_nn.R | 35 + R/extdata.R | 1 R/get_gbi.R | 1 R/group_lines.R | 222 +++++---- R/group_polys.R | 283 +++++++----- R/group_pts.R | 63 +- R/group_times.R | 3 R/randomizations.R | 12 R/spatsoc.R | 12 build/vignette.rds |binary inst/CITATION | 22 inst/doc/additional-data-formats.R |only inst/doc/additional-data-formats.Rmd |only inst/doc/additional-data-formats.html |only inst/doc/faq.R | 9 inst/doc/faq.Rmd | 69 +- inst/doc/faq.html | 784 ++++++++++++---------------------- inst/doc/intro-spatsoc.R | 44 - inst/doc/intro-spatsoc.Rmd | 45 - inst/doc/intro-spatsoc.html | 638 ++++++++++++--------------- inst/doc/using-edge-and-dyad.R | 6 inst/doc/using-edge-and-dyad.Rmd | 11 inst/doc/using-edge-and-dyad.html | 693 ++++++++++++++++++++---------- inst/doc/using-in-sna.R | 16 inst/doc/using-in-sna.Rmd | 25 - inst/doc/using-in-sna.html | 699 ++++++++++++------------------ inst/extdata/DT_predator.csv |only inst/extdata/DT_prey.csv |only man/DT.Rd | 1 man/build_lines.Rd | 68 +- man/build_polys.Rd | 93 ++-- man/dyad_id.Rd | 1 man/edge_dist.Rd | 24 - man/edge_nn.Rd | 27 - man/get_gbi.Rd | 1 man/group_lines.Rd | 125 ++--- man/group_polys.Rd | 97 ++-- man/group_pts.Rd | 39 + man/group_times.Rd | 1 man/randomizations.Rd | 6 man/spatsoc.Rd | 2 tests/testthat.R | 4 tests/testthat/test-build-lines.R | 80 ++- tests/testthat/test-build-polys.R | 282 +++++++----- tests/testthat/test-edge-dist.R | 20 tests/testthat/test-edge-nn.R | 19 tests/testthat/test-group-lines.R | 97 +++- tests/testthat/test-group-polys.R | 218 +++++++-- tests/testthat/test-pts.R | 25 + tests/testthat/test-time.R | 13 vignettes/additional-data-formats.Rmd |only vignettes/faq.Rmd | 69 +- vignettes/intro-spatsoc.Rmd | 45 - vignettes/using-edge-and-dyad.Rmd | 11 vignettes/using-in-sna.Rmd | 25 - 62 files changed, 3026 insertions(+), 2562 deletions(-)
Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables.
The following formats are supported: 'HTML', 'PDF', 'RTF',
'Microsoft Word', 'Microsoft PowerPoint' and R 'Grid Graphics'.
'R Markdown', 'Quarto' and the package 'officer' can be used to produce
the result files. The syntax is the same for the user regardless of
the type of output to be produced. A set of functions allows the
creation, definition of cell arrangement, addition of headers or
footers, formatting and definition of cell content with text and
or images. The package also offers a set of high-level functions
that allow tabular reporting of statistical models and the
creation of complex cross tabulations.
Author: David Gohel [aut, cre],
ArData [cph],
Clementine Jager [ctb],
Panagiotis Skintzos [aut],
Quentin Fazilleau [ctb],
Maxim Nazarov [ctb] ,
Titouan Robert [ctb],
Michael Barrowman [ctb] ,
Atsushi Yasumoto [ctb] ,
Paul Julian [ctb] ,
Sean Browning [ctb] , [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>
Diff between flextable versions 0.9.2 dated 2023-06-18 and 0.9.3 dated 2023-09-07
DESCRIPTION | 6 - MD5 | 66 +++++------ NEWS.md | 33 +++++ R/as_flextable.R | 212 ++++++++++++++++++++++++------------- R/as_flextable_gam.R | 28 +++- R/clintables.R | 5 R/compose.R | 5 R/df_printer.R | 5 R/docx_str.R | 26 ++-- R/flextable_sizes.R | 48 ++++++-- R/grid_funs.R | 22 +-- R/html_str.R | 40 +++--- R/latex-borders.R | 34 ++--- R/latex_chunks.R | 21 +-- R/latex_str.R | 82 +++++++------- R/paginate.R | 5 R/pptx_str.R | 26 ++-- R/printers.R | 2 R/proc_freq.R | 2 R/read_structure.R | 36 +++--- R/rtf_str.R | 28 ++-- R/runs_as_functions.R | 28 ++-- R/summarizor.R | 96 ++++++---------- build/vignette.rds |binary man/as_flextable.glm.Rd | 3 man/as_flextable.lm.Rd | 3 man/as_flextable.merMod.Rd | 20 ++- man/as_flextable.summarizor.Rd | 5 man/labelizor.Rd | 5 man/paginate.Rd | 5 man/shift_table.Rd | 5 man/summarizor.Rd | 79 +++---------- tests/testthat/test-as-flextable.R | 2 tests/testthat/test-footnote.R | 22 +-- 34 files changed, 551 insertions(+), 454 deletions(-)
Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153--165. <doi:10. [...truncated...]
Author: Michail Tsagris, Giorgos Athineou, Christos Adam, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Diff between Directional versions 6.1 dated 2023-07-17 and 6.2 dated 2023-09-07
DESCRIPTION | 10 ++++---- MD5 | 53 +++++++++++++++++++++++++-------------------- NAMESPACE | 6 ++--- R/cipc.reg.R |only R/conc.test.R | 2 - R/dirknn.tune.R | 14 +++++++---- R/gcpc.mle.R | 33 +++++++++++++++++----------- R/gcpc.reg.R |only R/haversine.dist.R | 30 +++++++++++++++---------- R/knn.reg.R | 2 - R/knnreg.tune.R | 30 +++++++++++++------------ R/ptest.R |only R/sespc.reg.R |only R/sipc.reg.R |only man/Directional-package.Rd | 14 ++++++----- man/dirknn.tune.Rd | 7 ++++- man/dsespc.Rd | 3 +- man/dvm.Rd | 3 +- man/esag.reg.Rd | 8 +++--- man/iag.reg.Rd | 16 +++++++++---- man/knnreg.tune.Rd | 4 +-- man/kuiper.Rd | 2 - man/pc.test.Rd | 3 +- man/ptest.Rd |only man/rayleigh.Rd | 7 +---- man/sespc.mle.Rd | 3 +- man/sespc.reg.Rd |only man/spher.sespc.contour.Rd | 3 +- man/spml.mle.Rd | 7 +++++ man/spml.reg.Rd | 15 +++++++++++- man/vmf.mle.Rd | 9 +++---- 31 files changed, 170 insertions(+), 114 deletions(-)
Title: Statistical Exploration of Landscapes of Phylogenetic Trees
Description: Tools for the exploration of distributions of phylogenetic trees.
This package includes a 'shiny' interface which can be started from R using
treespaceServer().
For further details see Jombart et al. (2017) <DOI:10.1111/1755-0998.12676>.
Author: Thibaut Jombart [aut] ,
Michelle Kendall [aut, cre] ,
Jacob Almagro-Garcia [aut] ,
Caroline Colijn [aut]
Maintainer: Michelle Kendall <michelle.kendall@warwick.ac.uk>
Diff between treespace versions 1.1.4.2 dated 2023-04-06 and 1.1.4.3 dated 2023-09-07
DESCRIPTION | 17 ++++++++--------- MD5 | 20 ++++++++++---------- NAMESPACE | 1 - NEWS.md | 5 +++++ R/servers.R | 2 +- R/treespace.R | 7 ++++--- build/vignette.rds |binary inst/doc/DengueVignette.html | 4 ++-- inst/doc/TransmissionTreesVignette.html | 4 ++-- inst/doc/introduction.html | 4 ++-- inst/doc/tipCategories.html | 4 ++-- 11 files changed, 36 insertions(+), 32 deletions(-)
Title: Clinical Stroke Research
Description: This is an R-toolbox of custom functions for convenient data management
and analysis in clinical health research and teaching.
The package is mainly collected for personal use, but any use beyond that is encouraged.
This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added.
Version follows months and year. See NEWS/Changelog for release notes.
This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>).
The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>.
The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.
Author: Andreas Gammelgaard Damsbo [aut, cre]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>
Diff between stRoke versions 23.6.3 dated 2023-07-03 and 23.9.1 dated 2023-09-07
DESCRIPTION | 6 +- MD5 | 28 ++++++--- NAMESPACE | 4 + NEWS.md | 14 ++++ R/add_padding.R |only R/chunks_of_n.R |only R/ds2dd.R | 2 R/str_extract.R |only README.md | 1 inst/WORDLIST | 3 + inst/doc/ds2dd.html | 4 - inst/doc/toolbox.html | 110 +++++++++++++++++++------------------- man/add_padding.Rd |only man/chunks_of_n.Rd |only man/ds2dd.Rd | 4 - man/n_chunks.Rd |only man/str_extract.Rd |only tests/testthat/test-add_padding.R |only tests/testthat/test-chunks.R |only tests/testthat/test-str_extract.R |only 20 files changed, 103 insertions(+), 73 deletions(-)
Title: Partially Linear Regression under Data Combination
Description: We implement linear regression when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked, based on D'Haultfoeuille, Gaillac, Maurel (2022) <doi:10.3386/w29953>. The package allows for common regressors observed in both datasets, and for various shape constraints on the effect of covariates on the outcome of interest. It also provides the tools to perform a test of point identification. See the associated vignette <https://github.com/cgaillac/RegCombin/blob/master/RegCombin_vignette.pdf> for theory and code examples.
Author: Xavier D'Haultfoeuille [aut],
Christophe Gaillac [aut, cre],
Arnaud Maurel [aut]
Maintainer: Christophe Gaillac <christophe.gaillac@economics.ox.ac.uk>
Diff between RegCombin versions 0.2.1 dated 2023-03-01 and 0.3.1 dated 2023-09-07
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/regCombin.R | 6 +++--- 3 files changed, 8 insertions(+), 8 deletions(-)
Title: Multivariate Polynomials with Rational Coefficients
Description: Symbolic calculation and evaluation of multivariate
polynomials with rational coefficients. This package is strongly
inspired by the 'spray' package. It also provides a function to
compute Gröbner bases (reference <doi:10.1007/978-3-319-16721-3>).
Author: Stephane Laurent [aut, cre],
Robin Hankin [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Diff between qspray versions 2.1.0 dated 2023-08-07 and 2.1.1 dated 2023-09-07
DESCRIPTION | 8 +++++--- MD5 | 17 ++++++++++++----- NEWS.md | 11 +++++++++-- R/internal.R | 7 +++++++ R/qspray.R | 8 ++++++++ README.md | 22 +++++++++++----------- tests |only 7 files changed, 52 insertions(+), 21 deletions(-)
Title: Empirical Likelihood Ratio for Censored/Truncated Data
Description: Empirical likelihood ratio tests for means/quantiles/hazards
from possibly censored and/or truncated data. Now does regression too.
This version contains some C code.
Author: Mai Zhou. . Yifan Yang for some C code.)
Maintainer: Mai Zhou <maizhou@gmail.com>
Diff between emplik versions 1.3 dated 2023-04-03 and 1.3-1 dated 2023-09-07
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- man/emplik-package.Rd | 13 +++---------- 3 files changed, 9 insertions(+), 16 deletions(-)
Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>
Diff between sisireg versions 1.0.0 dated 2022-01-04 and 1.1.0 dated 2023-09-07
DESCRIPTION | 8 ++++---- MD5 | 11 ++++++++--- NAMESPACE | 4 +++- R/onnx.R |only R/ssrMLP.R | 36 ++++++++++++++++++++++++++++++++++++ man/ffi_model.Rd |only man/ffi_prediction.Rd |only man/onnx_load.Rd |only man/onnx_save.Rd |only 9 files changed, 51 insertions(+), 8 deletions(-)
Title: Robust Calibration of Imperfect Mathematical Models
Description: Implements full Bayesian analysis for calibrating mathematical models with new methodology for modeling the discrepancy function. It allows for emulation, calibration and prediction using complex mathematical model outputs and experimental data. See the reference: Mengyang Gu and Long Wang (2018) <arXiv:1707.08215>, Mengyang Gu, Fangzheng Xie and Long Wang (2021) <arXiv:1807.03829>, Mengyang Gu, Kyle Anderson and Erika McPhillips (2021) <arXiv:1810.11664>.
Author: Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>
Diff between RobustCalibration versions 0.5.3 dated 2022-09-18 and 0.5.4 dated 2023-09-07
CHANGELOG | 6 ++++++ DESCRIPTION | 8 ++++---- MD5 | 24 ++++++++++++------------ R/predict.R | 13 +++++++++++-- R/rcalibration.R | 7 ++++++- R/rcalibration_MS.R | 10 +++++++++- R/structure.R | 3 ++- build/partial.rdb |binary man/predict.rcalibration.Rd | 2 +- man/predict_MS.rcalibration_MS.Rd | 4 ++-- man/predictobj.rcalibration-class.Rd | 1 + man/rcalibration.Rd | 16 ++++++++-------- man/rcalibration_MS.Rd | 13 +++++++------ 13 files changed, 69 insertions(+), 38 deletions(-)
More information about RobustCalibration at CRAN
Permanent link
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] ,
Florian De Boissieu [ctb] ,
Andrew Sanchez Meador [ctb] for
segment_snags),
Bourdon Jean-Francois [ctb] for
track_sensor),
Gatziolis Demetrios [ctb] for
track_sensor),
Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>
Diff between lidR versions 4.0.3 dated 2023-03-09 and 4.0.4 dated 2023-09-07
DESCRIPTION | 8 MD5 | 60 +- NAMESPACE | 1 NEWS.md | 19 R/algorithm-dsm.R | 3 R/algorithm-its.R | 5 R/algorithm-out.R | 2 R/io_readXLAS.R | 19 R/methods-LAS.R | 2 R/metrics_crowns.R | 8 R/metrics_stdmetrics.R | 2 R/plot.R | 16 R/rasterize_terrain.R | 10 R/utils_raster.R | 11 README.md | 6 build/vignette.rds |binary inst/doc/lidR-LAS-class.html | 239 +++++----- inst/doc/lidR-LAScatalog-class.html | 205 ++++----- inst/doc/lidR-LAScatalog-engine.html | 529 ++++++++++++------------ inst/doc/lidR-catalog-apply-examples.html | 125 ++--- inst/doc/lidR-computation-speed-LAScatalog.Rmd | 4 inst/doc/lidR-computation-speed-LAScatalog.html | 45 +- man/LAS-class.Rd | 4 man/its_silva2016.Rd | 5 man/noise_ivf.Rd | 2 man/plot.Rd | 6 man/readLAS.Rd | 2 src/LAS.cpp | 4 tests/testthat/Rplots.pdf |binary tests/testthat/test-concaveman.R | 6 vignettes/lidR-computation-speed-LAScatalog.Rmd | 4 31 files changed, 727 insertions(+), 625 deletions(-)
Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array/tensor. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of the Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Supports penalized logistic regression, support vector machine, random forest, and feed-forward neural network. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Parallel computing is implemented via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress <snodg031@umn.edu>
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>
Diff between cpfa versions 1.0-5 dated 2023-08-07 and 1.0-6 dated 2023-09-07
DESCRIPTION | 10 - MD5 | 37 ++--- NAMESPACE | 8 - R/cpfa.R | 177 ++++++++++++++++++++------ R/cpm.R | 7 - R/cpm.all.R | 4 R/kcv.nn.R | 1 R/kcv.plr.R | 6 R/kcv.rf.R | 28 ++-- R/kcv.svm.R | 3 R/predict.cpfa.R | 221 ++++++++++++++++++++++---------- R/print.cpfa.R | 17 +- R/tune.cpfa.R | 336 ++++++++++++++++++++++++++++++++------------------ man/cpfa-internals.Rd | 3 man/cpfa.Rd | 61 +++++---- man/cpm.Rd | 27 ++-- man/cpm.all.Rd | 17 +- man/predict.cpfa.Rd | 31 ++-- man/print.cpfa.Rd |only man/tune.cpfa.Rd | 94 ++++++++----- 20 files changed, 700 insertions(+), 388 deletions(-)
Title: Species Sensitivity Distributions
Description: Species sensitivity distributions are cumulative probability
distributions which are fitted to toxicity concentrations for
different species as described by Posthuma et al.(2001)
<isbn:9781566705783>. The ssdtools package uses Maximum Likelihood to
fit distributions such as the gamma, log-logistic, log-normal and
Weibull to censored and/or weighted data. Multiple distributions can
be averaged using Akaike Information Criteria. Confidence intervals
on hazard concentrations and proportions are produced by parametric
bootstrapping.
Author: Joe Thorley [aut, cre, ctr] ,
Carl Schwarz [aut, ctr],
Rebecca Fisher [ctb],
David Fox [ctb],
Angeline Tillmanns [ctb],
Ali Azizishirazi [ctb],
Kathleen McTavish [ctb],
Heather Thompson [ctb],
Doug Spry [ctb],
Rick van Dam [ctb],
Graham Batley [ctb], [...truncated...]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>
Diff between ssdtools versions 1.0.5 dated 2023-08-29 and 1.0.6 dated 2023-09-07
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 5 +++++ inst/doc/distributions.html | 4 ++-- inst/doc/exposure-plots.html | 4 ++-- inst/doc/faqs.html | 4 ++-- inst/doc/small-sample-bias-ref.html | 4 ++-- inst/doc/ssdtools.Rmd | 7 ------- inst/doc/ssdtools.html | 8 ++------ vignettes/ssdtools.Rmd | 7 ------- 10 files changed, 27 insertions(+), 40 deletions(-)
Title: Analyzes Real-World Treatment Patterns of a Study Population of
Interest
Description: Computes treatment patterns within a given cohort using the Observational
Medical Outcomes Partnership (OMOP) common data model (CDM). As described
in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
Author: Aniek Markus [aut] ,
Maarten van Kessel [cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Diff between TreatmentPatterns versions 2.5.0 dated 2023-08-16 and 2.5.1 dated 2023-09-07
DESCRIPTION | 6 - MD5 | 26 ++--- NEWS.md | 14 ++ R/R6-CDMInterface.R | 94 ++++++++++++++----- R/R6-PathwayConstructor.R | 149 ++++++++++++++++++++++++------- R/computePathways.R | 3 R/createSankeyDiagram.R | 20 ++-- R/createSunburstPlot.R | 127 ++++++++++++++++---------- R/export.R | 33 +++++- README.md | 8 + man/CDMInterface.Rd | 14 ++ man/createSankeyDiagram.Rd | 8 + man/createSunburstPlot.Rd | 9 + tests/testthat/test-createSunburstPlot.R | 9 + 14 files changed, 379 insertions(+), 141 deletions(-)
More information about TreatmentPatterns at CRAN
Permanent link
Title: Designing Stated Preference Experiments
Description: Contemporary software commonly used to design stated preference experiments are expensive and the code is closed source. This is a free software package with an easy to use interface to make flexible stated preference experimental designs using state-of-the-art methods. For an overview of stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer, M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The package website can be accessed at <https://spdesign.edsandorf.me>. We acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163).
Author: Erlend Dancke Sandorf [aut, cre],
Danny Campbell [aut]
Maintainer: Erlend Dancke Sandorf <erlend.dancke.sandorf@nmbu.no>
Diff between spdesign versions 0.0.1 dated 2023-08-17 and 0.0.2 dated 2023-09-07
spdesign-0.0.1/spdesign/R/spdesign.R |only spdesign-0.0.1/spdesign/man/spdesign.Rd |only spdesign-0.0.2/spdesign/DESCRIPTION | 8 ++-- spdesign-0.0.2/spdesign/MD5 | 26 ++++++++------- spdesign-0.0.2/spdesign/NAMESPACE | 1 spdesign-0.0.2/spdesign/NEWS.md | 9 ++++- spdesign-0.0.2/spdesign/R/block.R | 5 ++ spdesign-0.0.2/spdesign/R/design.R | 39 +++++++++++------------ spdesign-0.0.2/spdesign/R/methods.R | 2 - spdesign-0.0.2/spdesign/R/probabilities.R |only spdesign-0.0.2/spdesign/R/rsc.R | 35 +++++++++++++++----- spdesign-0.0.2/spdesign/R/spdesign-package.R |only spdesign-0.0.2/spdesign/R/zzz.R | 4 +- spdesign-0.0.2/spdesign/build/partial.rdb |only spdesign-0.0.2/spdesign/man/generate_design.Rd | 4 +- spdesign-0.0.2/spdesign/man/probabilities.Rd |only spdesign-0.0.2/spdesign/man/probabilities_mnl.Rd |only spdesign-0.0.2/spdesign/man/spdesign-package.Rd |only 18 files changed, 82 insertions(+), 51 deletions(-)
Title: Obfuscation Game Designs
Description: When people make decisions, they may do so using a wide variety of decision rules. The package allows users to easily create obfuscation games to test the obfuscation hypothesis. It provides an easy to use interface and multiple options designed to vary the difficulty of the game and tailor it to the user's needs. For more detail: Chorus et al., 2021, Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence, Mathematical Social Sciences, 109, 28-44, <doi:10.1016/j.mathsocsci.2020.10.002>.
Author: Erlend Dancke Sandorf [aut, cre],
Caspar Chorus [aut],
Sander van Cranenburgh [aut]
Maintainer: Erlend Dancke Sandorf <erlend.dancke.sandorf@nmbu.no>
Diff between obfuscatoR versions 0.2.1 dated 2020-11-19 and 0.2.2 dated 2023-09-07
obfuscatoR-0.2.1/obfuscatoR/R/obfuscatoR.R |only obfuscatoR-0.2.1/obfuscatoR/man/obfuscatoR.Rd |only obfuscatoR-0.2.2/obfuscatoR/DESCRIPTION | 11 obfuscatoR-0.2.2/obfuscatoR/MD5 | 89 obfuscatoR-0.2.2/obfuscatoR/NAMESPACE | 24 obfuscatoR-0.2.2/obfuscatoR/NEWS.md | 26 obfuscatoR-0.2.2/obfuscatoR/R/calc_entropy.R | 354 - obfuscatoR-0.2.2/obfuscatoR/R/calc_payouts.R | 264 - obfuscatoR-0.2.2/obfuscatoR/R/check_design_opt.R | 98 obfuscatoR-0.2.2/obfuscatoR/R/construct_ra_mat.R | 270 - obfuscatoR-0.2.2/obfuscatoR/R/extract_attr.R | 62 obfuscatoR-0.2.2/obfuscatoR/R/generate_designs.R | 88 obfuscatoR-0.2.2/obfuscatoR/R/misc.R | 36 obfuscatoR-0.2.2/obfuscatoR/R/obfuscatoR-package.R |only obfuscatoR-0.2.2/obfuscatoR/R/on_attach.R | 70 obfuscatoR-0.2.2/obfuscatoR/R/print_methods.R | 318 - obfuscatoR-0.2.2/obfuscatoR/R/save_design.R | 100 obfuscatoR-0.2.2/obfuscatoR/build/partial.rdb |only obfuscatoR-0.2.2/obfuscatoR/build/vignette.rds |binary obfuscatoR-0.2.2/obfuscatoR/inst/CITATION | 24 obfuscatoR-0.2.2/obfuscatoR/inst/doc/vignette-obfuscatoR.R | 232 - obfuscatoR-0.2.2/obfuscatoR/inst/doc/vignette-obfuscatoR.Rmd | 682 +-- obfuscatoR-0.2.2/obfuscatoR/inst/doc/vignette-obfuscatoR.html | 2134 +++++----- obfuscatoR-0.2.2/obfuscatoR/man/calc_entropy.Rd | 62 obfuscatoR-0.2.2/obfuscatoR/man/calc_payout_dm.Rd | 50 obfuscatoR-0.2.2/obfuscatoR/man/calc_payout_obs.Rd | 48 obfuscatoR-0.2.2/obfuscatoR/man/calc_pr_aj_rk.Rd | 40 obfuscatoR-0.2.2/obfuscatoR/man/calc_pr_guess.Rd | 52 obfuscatoR-0.2.2/obfuscatoR/man/calc_pr_rk_aj.Rd | 50 obfuscatoR-0.2.2/obfuscatoR/man/calculate_entropy.Rd | 82 obfuscatoR-0.2.2/obfuscatoR/man/calculate_payouts.Rd | 80 obfuscatoR-0.2.2/obfuscatoR/man/check_design_opt.Rd | 84 obfuscatoR-0.2.2/obfuscatoR/man/construct_design.Rd | 46 obfuscatoR-0.2.2/obfuscatoR/man/dot-onAttach.Rd | 38 obfuscatoR-0.2.2/obfuscatoR/man/extract_attr.Rd | 62 obfuscatoR-0.2.2/obfuscatoR/man/generate_designs.Rd | 58 obfuscatoR-0.2.2/obfuscatoR/man/last.Rd | 44 obfuscatoR-0.2.2/obfuscatoR/man/obfuscatoR-package.Rd |only obfuscatoR-0.2.2/obfuscatoR/man/print_design.Rd | 62 obfuscatoR-0.2.2/obfuscatoR/man/print_entropy.Rd | 68 obfuscatoR-0.2.2/obfuscatoR/man/print_payout.Rd | 38 obfuscatoR-0.2.2/obfuscatoR/man/save_design.Rd | 46 obfuscatoR-0.2.2/obfuscatoR/tests/testthat.R | 8 obfuscatoR-0.2.2/obfuscatoR/tests/testthat/test_calc_entropy.R | 30 obfuscatoR-0.2.2/obfuscatoR/tests/testthat/test_calculate_entropy.R | 94 obfuscatoR-0.2.2/obfuscatoR/tests/testthat/test_payouts.R | 86 obfuscatoR-0.2.2/obfuscatoR/vignettes/ref.bib | 44 obfuscatoR-0.2.2/obfuscatoR/vignettes/vignette-obfuscatoR.Rmd | 682 +-- 48 files changed, 3529 insertions(+), 3307 deletions(-)
Title: Multiscalar Territorial Analysis
Description: Build multiscalar territorial analysis based on various contexts.
Author: Ronan Ysebaert [aut],
Nicolas Lambert [aut],
Timothee Giraud [aut, cre]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>
Diff between MTA versions 0.4.1 dated 2022-06-03 and 0.5.0 dated 2023-09-07
DESCRIPTION | 8 MD5 | 22 NEWS | 11 R/package.R | 2 README.md | 6 build/vignette.rds |binary inst/doc/MTA.Rmd | 2 inst/doc/MTA.html | 380 ++++++-- inst/doc/MTA_Scenario.html | 2003 ++++++++++++++++++++++++++++----------------- man/MTA.Rd | 19 vignettes/MTA.Rmd | 2 vignettes/mta.bib | 14 12 files changed, 1596 insertions(+), 873 deletions(-)
Title: Provide the 'x13ashtml' Seasonal Adjustment Binary
Description: The US Census Bureau provides a seasonal adjustment program now
called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and
X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau
offers both source and binary versions -- which this package integrates for
use by other R packages.
Author: Dirk Eddelbuettel and Christoph Sax
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between x13binary versions 1.1.57-3 dated 2022-02-06 and 1.1.57-4 dated 2023-09-07
ChangeLog | 8 ++++++++ DESCRIPTION | 9 ++++----- MD5 | 8 ++++---- configure | 4 ++-- configure.win | 2 +- 5 files changed, 19 insertions(+), 12 deletions(-)
Title: Computation and Visualisation of Atmospheric Convective
Parameters
Description: Allow to compute and visualise convective parameters commonly
used in the operational prediction of severe convective storms. Core algorithm
is based on a highly optimized 'C++' code linked into 'R' via 'Rcpp'. Highly
efficient engine allows to derive thermodynamic and kinematic parameters from
large numerical datasets such as reanalyses or operational Numerical Weather
Prediction models in a reasonable amount of time. Package has been developed
since 2017 by research meteorologists specializing in severe thunderstorms.
The most relevant methods used in the package based on the following publications
Stipanuk (1973) <https://apps.dtic.mil/sti/pdfs/AD0769739.pdf>,
McCann et al. (1994) <doi:10.1175/1520-0434(1994)009%3C0532:WNIFFM%3E2.0.CO;2>,
Bunkers et al. (2000) <doi:10.1175/1520-0434(2000)015%3C0061:PSMUAN%3E2.0.CO;2>,
Corfidi et al. (2003) <doi:10.1175/1520-0434(2003)018%3C0997:CPAMPF%3E2.0.CO;2>,
Showalter (1953) <doi:10.1175/1520-0477-34.6.250>,
Coffe [...truncated...]
Author: Bartosz Czernecki [aut, cre] ,
Mateusz Taszarek [aut] ,
Piotr Szuster [aut] ,
Doug Nychka [ctb],
Eric Gilleland [ctb],
Liangying Zhang [ctb],
Tim Hoar [ctb]
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>
Diff between thunder versions 1.1.1 dated 2023-04-05 and 1.1.2 dated 2023-09-07
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 4 ++++ R/get_sounding.R | 5 ++++- inst/doc/convective-parameters-and-technical-details.html | 6 +++--- tests/testthat/test-get_sounding.R | 2 +- 6 files changed, 20 insertions(+), 13 deletions(-)
Title: Simple Translation Between Different Languages
Description: Message translation is often managed with 'po' files and the 'gettext' programme,
but sometimes another solution is needed. In contrast to 'po' files, a more flexible approach
is used as in the Fluent <https://projectfluent.org/> project with R Markdown snippets.
The key-value approach allows easier handling of the translated messages.
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>
Diff between stranslate versions 0.1.0 dated 2023-08-12 and 0.1.1 dated 2023-09-07
DESCRIPTION | 8 +++--- MD5 | 24 ++++++++++-------- NAMESPACE | 1 R/archive/findText.R |only R/archive/getText.R |only R/findText.R | 60 +++++++++++++++++++++++++++++++++++++---------- R/setMsg.R | 21 +++++++++++++--- R/zzz.R | 4 +++ build/vignette.rds |binary inst/doc/stranslate.Rmd | 2 - inst/doc/stranslate.html | 2 - man/findText.Rd | 15 ++++++++--- man/setMsg.Rd | 20 +++++++++++---- vignettes/stranslate.Rmd | 2 - 14 files changed, 116 insertions(+), 43 deletions(-)
Title: Structures for Preference Data
Description: Convenient structures for creating, sourcing, reading, writing
and manipulating ordinal preference data. Methods for writing to/from PrefLib
formats. See Nicholas Mattei and Toby Walsh "PrefLib: A Library of Preference
Data" (2013) <doi:10.1007/978-3-642-41575-3_20>.
Author: Floyd Everest [aut, cre] ,
Heather Turner [aut] ,
Damjan Vukcevic [aut]
Maintainer: Floyd Everest <me@floydeverest.com>
Diff between prefio versions 0.1.0 dated 2023-03-08 and 0.1.1 dated 2023-09-07
DESCRIPTION | 6 +-- MD5 | 34 ++++++++++----------- NEWS.md | 8 +++++ R/adjacency.R | 6 +-- R/aggregate.preferences.R | 4 +- R/choices.R | 8 ++--- R/group.preferences.R | 11 +++--- R/preferences.R | 37 +++++++++++++++++------ R/preflib.R | 5 ++- inst/WORDLIST | 1 man/adjacency.Rd | 6 +-- man/aggregate.preferences.Rd | 4 +- man/choices.Rd | 4 +- man/group.Rd | 9 +++-- man/preferences.Rd | 8 ++--- man/write_preflib.Rd | 5 ++- tests/testthat/test-group.R | 10 +++--- tests/testthat/test-preferences.R | 60 ++++++++++++++++++++++++++++++++++---- 18 files changed, 155 insertions(+), 71 deletions(-)
Title: Statistical Tools for Quantitative Genetic Analyses
Description: Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses.
Rohde et al. (2019) <doi:10.1101/503631>.
Author: Peter Soerensen [aut, cre],
Palle Duun Rohde [aut],
Izel Fourie Soerensen [aut]
Maintainer: Peter Soerensen <peter.sorensen@r-qgg.org>
Diff between qgg versions 1.1.1 dated 2022-08-08 and 1.1.2 dated 2023-09-07
qgg-1.1.1/qgg/man/predict_auc_mt_continous.Rd |only qgg-1.1.1/qgg/man/qgg-package.Rd |only qgg-1.1.2/qgg/DESCRIPTION | 12 qgg-1.1.2/qgg/MD5 | 93 - qgg-1.1.2/qgg/NAMESPACE | 18 qgg-1.1.2/qgg/NEWS.md | 2 qgg-1.1.2/qgg/R/RcppExports.R | 8 qgg-1.1.2/qgg/R/genomic_bayes.R | 1303 ++++++++++++++++++++++--- qgg-1.1.2/qgg/R/genomic_correlation.R | 86 - qgg-1.1.2/qgg/R/genomic_matrix.R | 452 ++++++-- qgg-1.1.2/qgg/R/genomic_reml.R | 5 qgg-1.1.2/qgg/R/genomic_score.R | 145 +- qgg-1.1.2/qgg/R/genomic_simulation.R | 73 - qgg-1.1.2/qgg/R/genomic_statistics.R | 441 +++----- qgg-1.1.2/qgg/R/multiple_marker_test.R | 72 + qgg-1.1.2/qgg/R/qgg.R | 2 qgg-1.1.2/qgg/R/qgg_utility_functions.R | 154 +- qgg-1.1.2/qgg/R/single_marker_test.R | 28 qgg-1.1.2/qgg/man/adjLD.Rd | 16 qgg-1.1.2/qgg/man/adjStat.Rd | 35 qgg-1.1.2/qgg/man/adjustB.Rd |only qgg-1.1.2/qgg/man/adjustMapLD.Rd |only qgg-1.1.2/qgg/man/gbayes.Rd | 8 qgg-1.1.2/qgg/man/getG.Rd | 39 qgg-1.1.2/qgg/man/getLD.Rd | 19 qgg-1.1.2/qgg/man/getLDsets.Rd | 8 qgg-1.1.2/qgg/man/getMap.Rd |only qgg-1.1.2/qgg/man/getMarkers.Rd | 14 qgg-1.1.2/qgg/man/getPos.Rd |only qgg-1.1.2/qgg/man/getSparseLD.Rd |only qgg-1.1.2/qgg/man/gfilter.Rd | 22 qgg-1.1.2/qgg/man/gmap.Rd |only qgg-1.1.2/qgg/man/gprep.Rd | 40 qgg-1.1.2/qgg/man/greml.Rd | 2 qgg-1.1.2/qgg/man/gscore.Rd | 37 qgg-1.1.2/qgg/man/gsim.Rd | 63 - qgg-1.1.2/qgg/man/ldscore.Rd |only qgg-1.1.2/qgg/man/mapSets.Rd |only qgg-1.1.2/qgg/man/mtadj.Rd | 29 qgg-1.1.2/qgg/man/plotForest.Rd | 25 qgg-1.1.2/qgg/man/plotLD.Rd |only qgg-1.1.2/qgg/man/predict_auc_mt_cc.Rd | 28 qgg-1.1.2/qgg/man/predict_auc_mt_continuous.Rd |only qgg-1.1.2/qgg/man/predict_auc_st.Rd | 17 qgg-1.1.2/qgg/man/predict_r2_mt.Rd | 19 qgg-1.1.2/qgg/man/predict_r2_st.Rd | 13 qgg-1.1.2/qgg/man/qcStat.Rd | 64 - qgg-1.1.2/qgg/man/splitWithOverlap.Rd |only qgg-1.1.2/qgg/src/Makevars | 2 qgg-1.1.2/qgg/src/Makevars.win | 2 qgg-1.1.2/qgg/src/RcppExports.cpp | 47 qgg-1.1.2/qgg/src/gbayes.cpp | 491 ++++++++- qgg-1.1.2/qgg/src/qgg_init.c | 6 qgg-1.1.2/qgg/src/utility.cpp | 6 54 files changed, 2912 insertions(+), 1034 deletions(-)
Title: Modelling Infectious Disease Superspreading from Contact Tracing
Data
Description: Comprehensive analytical tools are provided to characterize infectious disease superspreading from contact tracing surveillance data. The underlying theoretical frameworks of this toolkit include branching process with transmission heterogeneity (Lloyd-Smith et al. (2005) <doi:10.1038/nature04153>), case cluster size distribution (Nishiura et al. (2012) <doi:10.1016/j.jtbi.2011.10.039>, Blumberg et al. (2014) <doi:10.1371/journal.ppat.1004452>, and Kucharski and Althaus (2015) <doi:10.2807/1560-7917.ES2015.20.25.21167>), and decomposition of reproduction number (Zhao et al. (2022) <doi:10.1371/journal.pcbi.1010281>).
Author: Shi Zhao [aut, cre]
Maintainer: Shi Zhao <zhaoshi.cmsa@gmail.com>
Diff between modelSSE versions 0.1-2 dated 2023-08-28 and 0.1-3 dated 2023-09-07
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ R/function_fordistribution.R | 28 +++++++++++++++++----------- man/d_nextgenclusterdistn.Rd | 6 +++--- man/d_offspringdistn.Rd | 4 ++-- man/d_outbreakdistn.Rd | 6 +++--- man/d_reproductiondistn.Rd | 2 +- 7 files changed, 37 insertions(+), 31 deletions(-)
Title: Wrapper for Statistics Portugal API
Description: Set of wrapper and helper functions to facilitate interaction with
the Statistics Portugal (Instituto Nacional de Estatistica - INE) API
(<https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_api&INST=322751522&xlang=en>).
Author: Carlos Matos [aut, cre, cph]
Maintainer: Carlos Matos <carlosmdmatos@gmail.com>
Diff between ineptR versions 0.2.0 dated 2023-08-15 and 0.2.1 dated 2023-09-07
DESCRIPTION | 23 +++++++++-------- MD5 | 25 +++++++++++-------- NAMESPACE | 2 - NEWS.md | 7 ++++- R/get_dim_info.R | 15 ++++++++--- R/get_dim_values.R | 29 +++++++++------------- R/get_ine_data.R | 68 ++++++++++++++++------------------------------------ R/get_metadata.R | 5 +++ R/utils.R | 7 +++-- README.md | 9 +++++- man/get_ine_data.Rd | 2 - tests |only 12 files changed, 97 insertions(+), 95 deletions(-)
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>
Diff between StanHeaders versions 2.26.27 dated 2023-06-14 and 2.26.28 dated 2023-09-07
DESCRIPTION | 6 MD5 | 16 R/Flags.R | 4 inst/doc/stanmath.R | 6 inst/doc/stanmath.Rmd | 31 inst/doc/stanmath.html | 135 inst/include/stan/math/prim/prob/exponential_lpdf.hpp | 2 inst/stanc.js |44826 ++++++++---------- vignettes/stanmath.Rmd | 31 9 files changed, 22391 insertions(+), 22666 deletions(-)
Title: Risk Regression Models and Prediction Scores for Survival
Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis.
Risk regression models for survival endpoints also in the presence of competing
risks are fitted using binomial regression based on a time sequence of binary
event status variables. A formula interface for the Fine-Gray regression model
and an interface for the combination of cause-specific Cox regression models.
A toolbox for assessing and comparing performance of risk predictions (risk
markers and risk prediction models). Prediction performance is measured by the
Brier score and the area under the ROC curve for binary possibly time-dependent
outcome. Inverse probability of censoring weighting and pseudo values are used
to deal with right censored data. Lists of risk markers and lists of risk models
are assessed simultaneously. Cross-validation repeatedly splits the data, trains
the risk prediction models on one part of each split and then summarizes and
compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre],
Johan Sebastian Ohlendorff [aut],
Paul Blanche [ctb],
Rikke Mortensen [ctb],
Marvin Wright [ctb],
Nikolaj Tollenaar [ctb],
John Muschelli [ctb],
Ulla Brasch Mogensen [ctb],
Brice Ozenne [aut]
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>
Diff between riskRegression versions 2023.03.22 dated 2023-03-20 and 2023.09.08 dated 2023-09-07
riskRegression-2023.03.22/riskRegression/R/fitters.R |only riskRegression-2023.09.08/riskRegression/DESCRIPTION | 6 riskRegression-2023.09.08/riskRegression/MD5 | 122 +-- riskRegression-2023.09.08/riskRegression/NAMESPACE | 6 riskRegression-2023.09.08/riskRegression/R/0onload.R | 6 riskRegression-2023.09.08/riskRegression/R/AUC.binary.R | 219 ++++-- riskRegression-2023.09.08/riskRegression/R/AUC.competing.risks.R | 154 +++- riskRegression-2023.09.08/riskRegression/R/AUC.survival.R | 118 +++ riskRegression-2023.09.08/riskRegression/R/Brier.binary.R | 13 riskRegression-2023.09.08/riskRegression/R/Brier.competing.risks.R | 29 riskRegression-2023.09.08/riskRegression/R/Brier.survival.R | 27 riskRegression-2023.09.08/riskRegression/R/FGR.R | 3 riskRegression-2023.09.08/riskRegression/R/GLMnet.R |only riskRegression-2023.09.08/riskRegression/R/HAL9001.R |only riskRegression-2023.09.08/riskRegression/R/IPA.R | 12 riskRegression-2023.09.08/riskRegression/R/Score.R | 237 ++++++- riskRegression-2023.09.08/riskRegression/R/anova.ate.R | 8 riskRegression-2023.09.08/riskRegression/R/as.data.table.predictCSC.R | 9 riskRegression-2023.09.08/riskRegression/R/as.data.table.predictCox.R | 9 riskRegression-2023.09.08/riskRegression/R/ate-pointEstimate.R | 9 riskRegression-2023.09.08/riskRegression/R/ate.R | 39 - riskRegression-2023.09.08/riskRegression/R/autoplot.predictCSC.R | 8 riskRegression-2023.09.08/riskRegression/R/calcCensoringWeightsCox.R | 11 riskRegression-2023.09.08/riskRegression/R/computePerformance.R | 14 riskRegression-2023.09.08/riskRegression/R/confint.ate.R | 6 riskRegression-2023.09.08/riskRegression/R/crossvalPerf.R | 26 riskRegression-2023.09.08/riskRegression/R/getCensoringWeights.R | 6 riskRegression-2023.09.08/riskRegression/R/getCoxInfo.R | 8 riskRegression-2023.09.08/riskRegression/R/getInfluenceCurve.R | 7 riskRegression-2023.09.08/riskRegression/R/getPerformanceData.R | 13 riskRegression-2023.09.08/riskRegression/R/plotAUC.R | 13 riskRegression-2023.09.08/riskRegression/R/plotBrier.R | 17 riskRegression-2023.09.08/riskRegression/R/plotCalibration.R | 8 riskRegression-2023.09.08/riskRegression/R/plotROC.R | 6 riskRegression-2023.09.08/riskRegression/R/plotRisk.R | 330 +++++----- riskRegression-2023.09.08/riskRegression/R/predict.CauseSpecificCox.R | 4 riskRegression-2023.09.08/riskRegression/R/predict.riskRegression.R | 5 riskRegression-2023.09.08/riskRegression/R/predictCox.R | 18 riskRegression-2023.09.08/riskRegression/R/predictCoxPL.R | 10 riskRegression-2023.09.08/riskRegression/R/predictRisk.R | 301 +++------ riskRegression-2023.09.08/riskRegression/R/print.IPA.R | 6 riskRegression-2023.09.08/riskRegression/R/print.Score.R | 8 riskRegression-2023.09.08/riskRegression/R/print.influenceTest.R | 8 riskRegression-2023.09.08/riskRegression/R/riskRegression-package.R | 10 riskRegression-2023.09.08/riskRegression/R/saveCoxConfidential.R |only riskRegression-2023.09.08/riskRegression/R/subjectWeights.R | 1 riskRegression-2023.09.08/riskRegression/R/wglm.R | 6 riskRegression-2023.09.08/riskRegression/build/vignette.rds |binary riskRegression-2023.09.08/riskRegression/man/FGR.Rd | 3 riskRegression-2023.09.08/riskRegression/man/GLMnet.Rd | 5 riskRegression-2023.09.08/riskRegression/man/Hal9001.Rd | 2 riskRegression-2023.09.08/riskRegression/man/Score.Rd | 32 riskRegression-2023.09.08/riskRegression/man/anova.ate.Rd | 2 riskRegression-2023.09.08/riskRegression/man/ate.Rd | 4 riskRegression-2023.09.08/riskRegression/man/confint.ate.Rd | 2 riskRegression-2023.09.08/riskRegression/man/model.matrix.cph.Rd | 4 riskRegression-2023.09.08/riskRegression/man/model.matrix.phreg.Rd | 4 riskRegression-2023.09.08/riskRegression/man/plotROC.Rd | 2 riskRegression-2023.09.08/riskRegression/man/predictRisk.Rd | 134 +--- riskRegression-2023.09.08/riskRegression/man/riskRegression-package.Rd |only riskRegression-2023.09.08/riskRegression/man/riskRegression.Rd | 3 riskRegression-2023.09.08/riskRegression/man/saveCoxConfidential.Rd |only riskRegression-2023.09.08/riskRegression/man/wglm.Rd | 2 riskRegression-2023.09.08/riskRegression/tests/testthat/test-iidCox.R | 12 riskRegression-2023.09.08/riskRegression/tests/testthat/test-predictCox.R | 20 65 files changed, 1281 insertions(+), 826 deletions(-)
More information about riskRegression at CRAN
Permanent link
Title: Individual-Based Forest Growth Simulator 'TROLL'
Description: 'TROLL' is coded in C++ and it typically simulates hundreds of
thousands of individuals over hundreds of years. The 'rcontroll' R package
is a wrapper of 'TROLL'. 'rcontroll' includes functions that generate inputs
for simulations and run simulations. Finally, it is possible to analyse
the 'TROLL' outputs through tables, figures, and maps taking advantage of
other R visualisation packages. 'rcontroll' also offers the possibility to
generate a virtual LiDAR point cloud that corresponds to a snapshot of
the simulated forest.
Author: Sylvain Schmitt [aut, cre] ,
Guillaume Salzet [aut] ,
Fabian Fischer [aut] ,
Isabelle Marechaux [aut] ,
Jerome Chave [aut]
Maintainer: Sylvain Schmitt <sylvain.m.schmitt@gmail.com>
Diff between rcontroll versions 0.1.0 dated 2023-02-11 and 0.1.1 dated 2023-09-07
rcontroll-0.1.0/rcontroll/R/summary.trollsim.R |only rcontroll-0.1.0/rcontroll/man/summary.trollsim.Rd |only rcontroll-0.1.1/rcontroll/DESCRIPTION | 12 rcontroll-0.1.1/rcontroll/MD5 | 152 ++--- rcontroll-0.1.1/rcontroll/NAMESPACE | 4 rcontroll-0.1.1/rcontroll/NEWS.md | 358 +++++++++++++ rcontroll-0.1.1/rcontroll/R/TROLLv3_climatedaytime12.R | 33 - rcontroll-0.1.1/rcontroll/R/TROLLv3_daytimevar.R | 13 rcontroll-0.1.1/rcontroll/R/TROLLv3_input.R | 10 rcontroll-0.1.1/rcontroll/R/TROLLv3_output.R | 13 rcontroll-0.1.1/rcontroll/R/TROLLv3_pointcloud.R | 12 rcontroll-0.1.1/rcontroll/R/TROLLv3_species.R | 6 rcontroll-0.1.1/rcontroll/R/TROLLversion.R | 11 rcontroll-0.1.1/rcontroll/R/autogif.R | 129 +++- rcontroll-0.1.1/rcontroll/R/autoplot.troll.R | 46 + rcontroll-0.1.1/rcontroll/R/generate_climate.R | 349 ++++++++++--- rcontroll-0.1.1/rcontroll/R/generate_lidar.R | 17 rcontroll-0.1.1/rcontroll/R/generate_parameters.R | 164 +++--- rcontroll-0.1.1/rcontroll/R/get_chm.trollsim.R | 11 rcontroll-0.1.1/rcontroll/R/get_forest.trollsim.R | 12 rcontroll-0.1.1/rcontroll/R/get_log.trollsim.R |only rcontroll-0.1.1/rcontroll/R/load_output.R | 31 - rcontroll-0.1.1/rcontroll/R/load_sim.trollsim.R |only rcontroll-0.1.1/rcontroll/R/load_stack.R | 17 rcontroll-0.1.1/rcontroll/R/print.trollsim.R | 32 - rcontroll-0.1.1/rcontroll/R/rcontroll.R | 152 +++-- rcontroll-0.1.1/rcontroll/R/stack.R | 172 +++--- rcontroll-0.1.1/rcontroll/R/troll.R | 83 ++- rcontroll-0.1.1/rcontroll/R/trollsim.R | 81 ++- rcontroll-0.1.1/rcontroll/R/trollstack.R | 58 +- rcontroll-0.1.1/rcontroll/R/update_parameters.trollsim.R | 15 rcontroll-0.1.1/rcontroll/R/zzz.R | 8 rcontroll-0.1.1/rcontroll/README.md | 5 rcontroll-0.1.1/rcontroll/build/vignette.rds |binary rcontroll-0.1.1/rcontroll/data/TROLLv3_output.rda |binary rcontroll-0.1.1/rcontroll/inst/doc/climate.R | 105 ++-- rcontroll-0.1.1/rcontroll/inst/doc/climate.Rmd | 105 ++-- rcontroll-0.1.1/rcontroll/inst/doc/climate.html | 362 +++++++------- rcontroll-0.1.1/rcontroll/inst/doc/lidar.R | 10 rcontroll-0.1.1/rcontroll/inst/doc/lidar.Rmd | 10 rcontroll-0.1.1/rcontroll/inst/doc/lidar.html | 272 +++++----- rcontroll-0.1.1/rcontroll/inst/doc/troll.R | 34 - rcontroll-0.1.1/rcontroll/inst/doc/troll.Rmd | 34 - rcontroll-0.1.1/rcontroll/inst/doc/workflow.R | 18 rcontroll-0.1.1/rcontroll/inst/doc/workflow.Rmd | 18 rcontroll-0.1.1/rcontroll/inst/doc/workflow.html | 269 +++++----- rcontroll-0.1.1/rcontroll/man/TROLL.version.Rd | 9 rcontroll-0.1.1/rcontroll/man/TROLLv3_climatedaytime12.Rd | 34 - rcontroll-0.1.1/rcontroll/man/TROLLv3_daytimevar.Rd | 16 rcontroll-0.1.1/rcontroll/man/TROLLv3_input.Rd | 11 rcontroll-0.1.1/rcontroll/man/TROLLv3_output.Rd | 10 rcontroll-0.1.1/rcontroll/man/TROLLv3_pointcloud.Rd | 11 rcontroll-0.1.1/rcontroll/man/TROLLv3_species.Rd | 19 rcontroll-0.1.1/rcontroll/man/autogif.Rd | 29 - rcontroll-0.1.1/rcontroll/man/autoplot-trollsim-method.Rd | 15 rcontroll-0.1.1/rcontroll/man/generate_climate.Rd | 208 +++++++- rcontroll-0.1.1/rcontroll/man/generate_lidar.Rd | 12 rcontroll-0.1.1/rcontroll/man/generate_parameters.Rd | 10 rcontroll-0.1.1/rcontroll/man/get_chm.Rd | 12 rcontroll-0.1.1/rcontroll/man/get_forest.Rd | 11 rcontroll-0.1.1/rcontroll/man/get_log.Rd |only rcontroll-0.1.1/rcontroll/man/load_output.Rd | 13 rcontroll-0.1.1/rcontroll/man/load_sim.Rd |only rcontroll-0.1.1/rcontroll/man/load_stack.Rd | 13 rcontroll-0.1.1/rcontroll/man/option.rcontroll.Rd | 9 rcontroll-0.1.1/rcontroll/man/pipe.Rd | 2 rcontroll-0.1.1/rcontroll/man/print.trollsim.Rd | 11 rcontroll-0.1.1/rcontroll/man/rcontroll.Rd | 133 ++--- rcontroll-0.1.1/rcontroll/man/stack.Rd | 60 +- rcontroll-0.1.1/rcontroll/man/troll.Rd | 45 + rcontroll-0.1.1/rcontroll/man/trollsim-class.Rd | 38 + rcontroll-0.1.1/rcontroll/man/trollsim.Rd | 40 + rcontroll-0.1.1/rcontroll/man/trollstack-class.Rd | 14 rcontroll-0.1.1/rcontroll/man/trollstack.Rd | 40 + rcontroll-0.1.1/rcontroll/man/update_parameters.Rd | 14 rcontroll-0.1.1/rcontroll/tools/winlibs.R | 15 rcontroll-0.1.1/rcontroll/vignettes/climate.Rmd | 105 ++-- rcontroll-0.1.1/rcontroll/vignettes/lidar.Rmd | 10 rcontroll-0.1.1/rcontroll/vignettes/troll.Rmd | 34 - rcontroll-0.1.1/rcontroll/vignettes/workflow.Rmd | 18 80 files changed, 2795 insertions(+), 1469 deletions(-)
Title: Density, Probability, Quantile ('DPQ') Computations
Description: Computations for approximations and alternatives for the 'DPQ'
(Density (pdf), Probability (cdf) and Quantile) functions for probability
distributions in R.
Primary focus is on (central and non-central) beta, gamma and related
distributions such as the chi-squared, F, and t.
--
For several distribution functions, provide functions implementing formulas from
Johnson, Kotz, and Kemp (1992) <doi:10.1002/bimj.4710360207> and
Johnson, Kotz, and Balakrishnan (1995) for discrete or continuous
distributions respectively.
This is for the use of researchers in these numerical approximation
implementations, notably for my own use in order to improve standard
R pbeta(), qgamma(), ..., etc: {'"dpq"'-functions}.
Author: Martin Maechler [aut, cre] ,
Morten Welinder [ctb] ),
Wolfgang Viechtbauer [ctb] , 2002),
Ross Ihaka [ctb] ,
Marius Hofert [ctb] , lssum),
R-core [ctb] ,
R Foundation [cph]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Diff between DPQ versions 0.5-5 dated 2023-06-23 and 0.5-6 dated 2023-09-07
DESCRIPTION | 14 +++-- MD5 | 80 +++++++++++++++---------------- NAMESPACE | 3 - R/dgamma.R | 24 ++------- R/hyper-dist.R | 48 ++++++++++++------- R/qbinomR.R | 9 ++- R/qnbinomR.R | 8 ++- R/qpoisR.R | 9 ++- build/partial.rdb |binary inst/NEWS.Rd | 26 ++++++++++ inst/doc/Noncentral-Chisq.pdf |binary inst/doc/comp-beta.pdf |binary inst/doc/log1pmx-etc.pdf |binary inst/doc/qnorm-asymp.pdf |binary man/DPQ-package.Rd | 5 - man/b_chi.Rd | 2 man/dchisqApprox.Rd | 4 - man/dhyperBinMolenaar.Rd | 23 ++++----- man/dnt.Rd | 4 - man/dpsifn.Rd | 4 - man/gammaVer.Rd | 2 man/hyper2binomP.Rd | 19 ++----- man/lbeta.Rd | 3 - man/phyperAllBin.Rd | 24 ++++++++- man/phyperBin.Rd | 13 ++--- man/phyperBinMolenaar.Rd | 36 +++++++++----- man/phyperIbeta.Rd | 3 - man/phyperMolenaar.Rd | 16 +++--- man/phyperPeizer.Rd | 12 +--- man/phyperR.Rd | 34 +++++++++---- man/phyperR2.Rd | 17 +++++- man/phypers.Rd | 60 +++++++++++++++-------- man/pnchisqAppr.Rd | 5 + man/pnt.Rd | 8 +-- man/qbinomR.Rd | 47 +++++++++++------- man/qnbinomR.Rd | 22 ++------ man/qnchisqAppr.Rd | 4 - man/qpoisR.Rd | 5 - man/qtAppr.Rd | 10 +-- tests/hyper-dist-ex.R | 106 ++++++++++++++++++++++++++++-------------- tests/qPoisBinom-ex.R | 3 - 41 files changed, 433 insertions(+), 279 deletions(-)
Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server',
'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Snowflake', 'Spark', and 'SQLite'). Also includes support for
fetching data as 'Andromeda' objects. Uses either 'Java Database Connectivity' ('JDBC') or other 'DBI' drivers to connect to databases.
Author: Martijn Schuemie [aut, cre],
Marc Suchard [aut],
Observational Health Data Science and Informatics [cph],
Microsoft Inc. [cph] ,
PostgreSQL Global Development Group [cph] ,
Oracle Inc. [cph] ,
Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Diff between DatabaseConnector versions 6.2.3 dated 2023-06-29 and 6.2.4 dated 2023-09-07
DatabaseConnector-6.2.3/DatabaseConnector/man/DatabaseConnectorConnection-class.Rd |only DatabaseConnector-6.2.3/DatabaseConnector/man/DatabaseConnectorDbiConnection-class.Rd |only DatabaseConnector-6.2.3/DatabaseConnector/man/DatabaseConnectorJdbcConnection-class.Rd |only DatabaseConnector-6.2.3/DatabaseConnector/man/Microsoft-SQL-Server-class.Rd |only DatabaseConnector-6.2.3/DatabaseConnector/man/show-DatabaseConnectorDriver-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/DESCRIPTION | 10 DatabaseConnector-6.2.4/DatabaseConnector/MD5 | 75 +++-- DatabaseConnector-6.2.4/DatabaseConnector/NAMESPACE | 7 DatabaseConnector-6.2.4/DatabaseConnector/NEWS.md | 14 DatabaseConnector-6.2.4/DatabaseConnector/R/BulkLoad.R | 25 - DatabaseConnector-6.2.4/DatabaseConnector/R/Connect.R | 39 ++ DatabaseConnector-6.2.4/DatabaseConnector/R/DBI.R | 148 ++++------ DatabaseConnector-6.2.4/DatabaseConnector/R/HelperFunctions.R | 2 DatabaseConnector-6.2.4/DatabaseConnector/R/ListTables.R | 5 DatabaseConnector-6.2.4/DatabaseConnector/R/Sql.R | 2 DatabaseConnector-6.2.4/DatabaseConnector/build/DatabaseConnector.pdf |only DatabaseConnector-6.2.4/DatabaseConnector/inst/doc/Connecting.R | 2 DatabaseConnector-6.2.4/DatabaseConnector/inst/doc/Connecting.Rmd | 14 DatabaseConnector-6.2.4/DatabaseConnector/inst/doc/Connecting.pdf |binary DatabaseConnector-6.2.4/DatabaseConnector/inst/doc/DbiAndDbplyr.pdf |binary DatabaseConnector-6.2.4/DatabaseConnector/inst/doc/Querying.pdf |binary DatabaseConnector-6.2.4/DatabaseConnector/man/DatabaseConnectorDbiResult-class.Rd | 22 - DatabaseConnector-6.2.4/DatabaseConnector/man/DatabaseConnectorJdbcResult-class.Rd | 22 - DatabaseConnector-6.2.4/DatabaseConnector/man/dbAppendTable-DatabaseConnectorConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbClearResult-DatabaseConnectorDbiResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbClearResult-DatabaseConnectorJdbcResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbColumnInfo-DatabaseConnectorDbiResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbColumnInfo-DatabaseConnectorJdbcResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbCreateTable-DatabaseConnectorConnection-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbDisconnect-DatabaseConnectorConnection-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbExecute-DatabaseConnectorConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbExistsTable-DatabaseConnectorConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbFetch-DatabaseConnectorDbiResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbFetch-DatabaseConnectorJdbcResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetInfo-DatabaseConnectorConnection-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetInfo-DatabaseConnectorDriver-method.Rd | 1 DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetQuery-DatabaseConnectorConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetRowCount-DatabaseConnectorDbiResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetRowCount-DatabaseConnectorJdbcResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetRowsAffected-DatabaseConnectorDbiResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetRowsAffected-DatabaseConnectorJdbcResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetStatement-DatabaseConnectorDbiResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbGetStatement-DatabaseConnectorJdbcResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbHasCompleted-DatabaseConnectorDbiResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbHasCompleted-DatabaseConnectorJdbcResult-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbIsValid-DatabaseConnectorDbiConnection-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbIsValid-DatabaseConnectorJdbcConnection-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbListFields-DatabaseConnectorConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbListTables-DatabaseConnectorConnection-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbReadTable-DatabaseConnectorConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbRemoveTable-DatabaseConnectorConnection-ANY-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbSendQuery-DatabaseConnectorDbiConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbSendQuery-DatabaseConnectorJdbcConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbSendStatement-DatabaseConnectorConnection-character-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/man/dbWriteTable-DatabaseConnectorConnection-ANY-method.Rd |only DatabaseConnector-6.2.4/DatabaseConnector/tests/testthat/dbplyrTestFunction.R | 1 DatabaseConnector-6.2.4/DatabaseConnector/vignettes/Connecting.Rmd | 14 57 files changed, 197 insertions(+), 206 deletions(-)
More information about DatabaseConnector at CRAN
Permanent link
Title: Testing Hypotheses About the Microbiome using the Linear
Decomposition Model
Description: A single analysis path that includes distance-based ordination, global tests of any effect of the microbiome, and tests of the effects of individual taxa with false-discovery-rate (FDR) control. It accommodates both continuous and discrete covariates as well as interaction terms to be tested either singly or in combination, allows for adjustment of confounding covariates, and uses permutation-based p-values that can control for sample correlations. It can be applied to transformed data, and an omnibus test can combine results from analyses conducted on different transformation scales. It can also be used for testing presence-absence associations based on infinite number of rarefaction replicates, testing mediation effects of the microbiome, analyzing censored time-to-event outcomes, and for compositional analysis by fitting linear models to centered-log-ratio taxa count data.
Author: Yi-Juan Hu [aut, cre],
Glen A Satten [aut]
Maintainer: Yi-Juan Hu <yijuan.hu@emory.edu>
Diff between LDM versions 6.0 dated 2023-09-04 and 6.0.1 dated 2023-09-07
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- R/LDM_fun.R | 16 ++++++++-------- 3 files changed, 14 insertions(+), 14 deletions(-)
Title: Higher Order Assortativity for Complex Networks
Description: Allows to evaluate Higher Order Assortativity of complex networks defined through objects of class 'igraph' from the package of the same name. The package returns a result also for directed and weighted graphs. References, Arcagni, A., Grassi, R., Stefani, S., & Torriero, A. (2017) <doi:10.1016/j.ejor.2017.04.028> Arcagni, A., Grassi, R., Stefani, S., & Torriero, A. (2021) <doi:10.1016/j.jbusres.2019.10.008> Arcagni, A., Cerqueti, R., & Grassi, R. (2023) <doi:10.48550/arXiv.2304.01737>.
Author: Alberto Arcagni [aut, cre],
Roy Cerqueti [aut],
Rosanna Grassi [aut]
Maintainer: Alberto Arcagni <alberto.arcagni@uniroma1.it>
Diff between HOasso versions 1.0.0 dated 2023-08-11 and 1.0.1 dated 2023-09-07
DESCRIPTION | 8 ++++---- MD5 | 12 +++++++----- NAMESPACE | 3 +++ R/HOasso.R | 2 ++ R/plot.assortativity.R |only R/print.assortativity.R |only build/partial.rdb |binary man/HOasso.Rd | 31 +++++++++++++++++++++++++++---- 8 files changed, 43 insertions(+), 13 deletions(-)
Title: Gene Analysis Toolkit
Description: An analysis toolkit focused on genes. It mainly includes five
features (search, convert, analysis, plot, and export).
The user just needs to input feature id ('entrez', 'symbol', 'ensembl' or
'uniprot') to retrieve feature information and 'PubMed'<https://pubmed.ncbi.nlm.nih.gov/> records,
to convert id types, to easily handle gene enrichment analysis and publication-level figures,
to plot group interaction and export results as sheets in one 'excel'
file to easily share and communicate with others.
Author: Yunze Liu [aut, cre]
Maintainer: Yunze Liu <jieandze1314@gmail.com>
Diff between genekitr versions 1.2.2 dated 2023-05-23 and 1.2.5 dated 2023-09-07
ChangeLog | 14 ++++++++ DESCRIPTION | 6 +-- MD5 | 14 ++++---- R/genGSEA.R | 77 ++++++++++++++++++++++++++++---------------- R/genInfo.R | 29 +++++++++++----- R/genORA.R | 98 ++++++++++++++++++++++++++++++++++----------------------- R/plotEnrich.R | 14 ++++++-- README.md | 67 +++++++++++++++++++++++--------------- 8 files changed, 204 insertions(+), 115 deletions(-)
Title: Exploratory Factor Analysis Functions for Assessing
Dimensionality
Description: Functions for eleven procedures for determining the number of
factors, including functions for parallel analysis and the minimum average partial
test. There are also functions for conducting principal components analysis, principal
axis factor analysis, maximum likelihood factor analysis, image factor analysis,
and extension factor analysis, all of which can take raw data or correlation matrices
as input and with options for conducting the analyses using Pearson correlations,
Kendall correlations, Spearman correlations, gamma correlations, or polychoric
correlations. Varimax rotation, promax rotation, and Procrustes rotations can be
performed. Additional functions focus on the factorability of a correlation matrix,
the congruences between factors from different datasets, the assessment of local
independence, the assessment of factor solution complexity, and internal consistency.
Auerswald & Moshagen (2019, ISSN:1939-1463);
Field, Miles, & Field (2012, ISBN:978-1-4462-0045-2);
M [...truncated...]
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>
Diff between EFA.dimensions versions 0.1.7.7 dated 2023-03-17 and 0.1.7.9 dated 2023-09-07
EFA.dimensions-0.1.7.7/EFA.dimensions/R/IMAGE_FA.R |only EFA.dimensions-0.1.7.7/EFA.dimensions/R/MAXLIKE_FA.R |only EFA.dimensions-0.1.7.7/EFA.dimensions/R/PA_FA.R |only EFA.dimensions-0.1.7.7/EFA.dimensions/R/PROMAX.R |only EFA.dimensions-0.1.7.7/EFA.dimensions/R/VARIMAX.R |only EFA.dimensions-0.1.7.7/EFA.dimensions/man/IMAGE_FA.Rd |only EFA.dimensions-0.1.7.7/EFA.dimensions/man/MAXLIKE_FA.Rd |only EFA.dimensions-0.1.7.7/EFA.dimensions/man/PA_FA.Rd |only EFA.dimensions-0.1.7.7/EFA.dimensions/man/PROMAX.Rd |only EFA.dimensions-0.1.7.7/EFA.dimensions/man/VARIMAX.Rd |only EFA.dimensions-0.1.7.9/EFA.dimensions/DESCRIPTION | 12 EFA.dimensions-0.1.7.9/EFA.dimensions/MD5 | 88 +- EFA.dimensions-0.1.7.9/EFA.dimensions/NAMESPACE | 13 EFA.dimensions-0.1.7.9/EFA.dimensions/R/EFA.R |only EFA.dimensions-0.1.7.9/EFA.dimensions/R/EFA_SCORES.R |only EFA.dimensions-0.1.7.9/EFA.dimensions/R/EMPKC.R | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/R/EXTENSION_FA.R | 72 - EFA.dimensions-0.1.7.9/EFA.dimensions/R/FACTORABILITY.R | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/R/INTERNAL.CONSISTENCY.R | 60 + EFA.dimensions-0.1.7.9/EFA.dimensions/R/MISSING_INFO.R |only EFA.dimensions-0.1.7.9/EFA.dimensions/R/NEVALSGT1.R | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/R/PARALLEL.R | 14 EFA.dimensions-0.1.7.9/EFA.dimensions/R/PCA.R | 233 ++++-- EFA.dimensions-0.1.7.9/EFA.dimensions/R/RAWPAR.R | 20 EFA.dimensions-0.1.7.9/EFA.dimensions/R/ROOTFIT.R | 89 -- EFA.dimensions-0.1.7.9/EFA.dimensions/R/SALIENT.R | 160 +++- EFA.dimensions-0.1.7.9/EFA.dimensions/R/SESCREE.R | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/R/SMT.R | 57 - EFA.dimensions-0.1.7.9/EFA.dimensions/R/boc.R | 361 +++++++++- EFA.dimensions-0.1.7.9/EFA.dimensions/man/COMPLEXITY.Rd | 6 EFA.dimensions-0.1.7.9/EFA.dimensions/man/CONGRUENCE.Rd | 12 EFA.dimensions-0.1.7.9/EFA.dimensions/man/EFA.Rd |only EFA.dimensions-0.1.7.9/EFA.dimensions/man/EFA.dimensions-package.Rd | 30 EFA.dimensions-0.1.7.9/EFA.dimensions/man/EFA_SCORES.Rd |only EFA.dimensions-0.1.7.9/EFA.dimensions/man/EMPKC.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/EXTENSION_FA.Rd | 16 EFA.dimensions-0.1.7.9/EFA.dimensions/man/INTERNAL.CONSISTENCY.Rd | 12 EFA.dimensions-0.1.7.9/EFA.dimensions/man/MAP.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/MISSING_INFO.Rd |only EFA.dimensions-0.1.7.9/EFA.dimensions/man/NEVALSGT1.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/PARALLEL.Rd | 8 EFA.dimensions-0.1.7.9/EFA.dimensions/man/PCA.Rd | 39 - EFA.dimensions-0.1.7.9/EFA.dimensions/man/PROCRUSTES.Rd | 4 EFA.dimensions-0.1.7.9/EFA.dimensions/man/RAWPAR.Rd | 18 EFA.dimensions-0.1.7.9/EFA.dimensions/man/ROOTFIT.Rd | 26 EFA.dimensions-0.1.7.9/EFA.dimensions/man/SALIENT.Rd | 102 ++ EFA.dimensions-0.1.7.9/EFA.dimensions/man/SESCREE.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/SMT.Rd | 4 EFA.dimensions-0.1.7.9/EFA.dimensions/man/data_Field.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/data_Harman.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/data_NEOPIR.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/data_RSE.Rd | 2 EFA.dimensions-0.1.7.9/EFA.dimensions/man/data_TabFid.Rd | 6 53 files changed, 1039 insertions(+), 447 deletions(-)
More information about EFA.dimensions at CRAN
Permanent link
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 3.2-4 dated 2023-05-15 and 3.2-6 dated 2023-09-07
DESCRIPTION | 8 ++++---- MD5 | 28 ++++++++++++++-------------- NAMESPACE | 2 ++ NEWS | 11 +++++++++++ R/auc.R | 2 +- R/bermantest.R | 2 +- R/clusterfunctions.R | 10 +++++++--- R/envelope.R | 2 +- R/mpl.R | 17 +++++++++++++++-- R/quadrattest.R | 2 +- R/rhohat.R | 2 +- R/sysdata.rda |binary inst/doc/packagesizes.txt | 3 ++- man/spatstat.model-internal.Rd | 2 ++ tests/testsGtoJ.R | 2 +- 15 files changed, 63 insertions(+), 30 deletions(-)
More information about spatstat.model at CRAN
Permanent link
Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving,
viewing, visualizing, summarizing, transforming, and combining data. It also
contains functionality to generate reproducible reports of the analyses
conducted in the application.
Author: Vincent Nijs [aut, cre],
Niklas von Hertzen [aut]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Diff between radiant.data versions 1.6.0 dated 2023-09-06 and 1.6.1 dated 2023-09-07
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/radiant.R | 12 +++++++++--- 3 files changed, 14 insertions(+), 8 deletions(-)
Title: Compute and Illustrate the Multiple Facets of Functional
Diversity
Description: Computing functional traits-based distances between pairs of
species for species gathered in assemblages allowing to build several
functional spaces. The package allows to compute functional diversity
indices assessing the distribution of species (and of their dominance) in a
given functional space for each assemblage and the overlap between
assemblages in a given functional space, see: Chao et al. (2018)
<doi:10.1002/ecm.1343>, Maire et al. (2015) <doi:10.1111/geb.12299>,
Mouillot et al. (2013) <doi:10.1016/j.tree.2012.10.004>, Mouillot et al.
(2014) <doi:10.1073/pnas.1317625111>, Ricotta and Szeidl (2009)
<doi:10.1016/j.tpb.2009.10.001>. Graphical outputs are included.
Visit the 'mFD' website for more information, documentation and examples.
Author: Camille Magneville [aut, cre, cph]
,
Nicolas Loiseau [aut] ,
Camille Albouy [aut] ,
Nicolas Casajus [aut] ,
Thomas Claverie [aut] ,
Arthur Escalas [aut] ,
Fabien Leprieur [aut] ,
Eva Maire [aut] ,
David Mouillot [aut] ,
Sebastien Villeger [aut]
Maintainer: Camille Magneville <camille.magneville@gmail.com>
Diff between mFD versions 1.0.4 dated 2023-05-17 and 1.0.5 dated 2023-09-07
DESCRIPTION | 6 MD5 | 24 NEWS.md | 5 R/funct_dist_computation.R | 2 R/fuse_ind_computation.R | 2 build/partial.rdb |binary build/vignette.rds |binary inst/doc/Compute_and_interpret_quality_of_functional_spaces.html | 236 +- inst/doc/Compute_functional_hill_indices.html | 110 - inst/doc/Continuous_traits_framework.html | 96 - inst/doc/Customised_plots.html | 906 +++++----- inst/doc/How_to_deal_with_Functional_Entities.html | 218 +- inst/doc/mFD_general_workflow.html | 446 ++-- 13 files changed, 1028 insertions(+), 1023 deletions(-)
Title: Bayesian Network Structure Learning, Parameter Learning and
Inference
Description: Bayesian network structure learning, parameter learning and inference.
This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC,
Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu
Search) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete,
Gaussian and conditional Gaussian networks, along with many score functions and
conditional independence tests.
The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented.
Some utility functions (model comparison and manipulation, random data generation, arc
orientation testing, simple and advanced plots) are included, as well as support for
parameter estimation (maximum likelihood and Bayesian) and inference, conditional
probability queries, cross-validation, bootstrap and model averaging.
Development snapshots with the latest bugfixes are available from <https://www.bnlearn.com/>.
Author: Marco Scutari [aut, cre], Tomi Silander [ctb], Robert Ness [ctb]
Maintainer: Marco Scutari <scutari@bnlearn.com>
Diff between bnlearn versions 4.8.3 dated 2023-04-29 and 4.9 dated 2023-09-07
bnlearn-4.8.3/bnlearn/man/impute.Rd |only bnlearn-4.8.3/bnlearn/src/inference/cpdist.c |only bnlearn-4.8.3/bnlearn/src/inference/kullback.leibler.c |only bnlearn-4.9/bnlearn/Changelog | 54 + bnlearn-4.9/bnlearn/DESCRIPTION | 14 bnlearn-4.9/bnlearn/MD5 | 271 +++---- bnlearn-4.9/bnlearn/NAMESPACE | 5 bnlearn-4.9/bnlearn/R/aracne.R | 5 bnlearn-4.9/bnlearn/R/arc.strength.R | 34 bnlearn-4.9/bnlearn/R/backend-indep.R | 20 bnlearn-4.9/bnlearn/R/chow.liu.R | 4 bnlearn-4.9/bnlearn/R/ci.test.R | 12 bnlearn-4.9/bnlearn/R/classifiers.R | 9 bnlearn-4.9/bnlearn/R/cpq.R | 59 - bnlearn-4.9/bnlearn/R/cv.R | 19 bnlearn-4.9/bnlearn/R/data.preprocessing.R | 20 bnlearn-4.9/bnlearn/R/fast-iamb.R | 14 bnlearn-4.9/bnlearn/R/fit.R | 186 ++++ bnlearn-4.9/bnlearn/R/foreign-read.R | 15 bnlearn-4.9/bnlearn/R/foreign-write.R | 2 bnlearn-4.9/bnlearn/R/frontend-bn.R | 2 bnlearn-4.9/bnlearn/R/frontend-bootstrap.R | 16 bnlearn-4.9/bnlearn/R/frontend-data.R | 17 bnlearn-4.9/bnlearn/R/frontend-fit.R | 46 - bnlearn-4.9/bnlearn/R/frontend-missingdata.R | 74 + bnlearn-4.9/bnlearn/R/frontend-packages.R | 8 bnlearn-4.9/bnlearn/R/frontend-plot.R | 29 bnlearn-4.9/bnlearn/R/frontend-predict.R | 88 +- bnlearn-4.9/bnlearn/R/frontend-print.R | 14 bnlearn-4.9/bnlearn/R/frontend-score.R | 17 bnlearn-4.9/bnlearn/R/frontend-simulation.R | 64 - bnlearn-4.9/bnlearn/R/frontend-strength.R | 29 bnlearn-4.9/bnlearn/R/gRain.R | 14 bnlearn-4.9/bnlearn/R/globals.R | 374 +++++----- bnlearn-4.9/bnlearn/R/graph-generation.R | 5 bnlearn-4.9/bnlearn/R/graphviz-backend.R | 11 bnlearn-4.9/bnlearn/R/graphviz-chart.R | 2 bnlearn-4.9/bnlearn/R/graphviz-compare.R | 6 bnlearn-4.9/bnlearn/R/grow-shrink.R | 12 bnlearn-4.9/bnlearn/R/hill-climbing.R | 4 bnlearn-4.9/bnlearn/R/hiton-pc.R | 18 bnlearn-4.9/bnlearn/R/hybrid-pc.R | 41 - bnlearn-4.9/bnlearn/R/iamb-fdr.R | 12 bnlearn-4.9/bnlearn/R/impute.R | 257 +++++- bnlearn-4.9/bnlearn/R/incremental-association.R | 13 bnlearn-4.9/bnlearn/R/inter-iamb.R | 15 bnlearn-4.9/bnlearn/R/kullback.leibler.R | 3 bnlearn-4.9/bnlearn/R/learning-algorithms.R | 126 +-- bnlearn-4.9/bnlearn/R/likelihood.R |only bnlearn-4.9/bnlearn/R/loss.R | 60 - bnlearn-4.9/bnlearn/R/maxmin-pc.R | 17 bnlearn-4.9/bnlearn/R/most.probable.explanation.R |only bnlearn-4.9/bnlearn/R/mvnorm.R | 41 - bnlearn-4.9/bnlearn/R/pcalgo.R | 10 bnlearn-4.9/bnlearn/R/predict.R | 323 ++++++++ bnlearn-4.9/bnlearn/R/sanitization-arclists.R | 3 bnlearn-4.9/bnlearn/R/sanitization-bootstrap.R | 24 bnlearn-4.9/bnlearn/R/sanitization-classifiers.R | 23 bnlearn-4.9/bnlearn/R/sanitization-cv.R | 14 bnlearn-4.9/bnlearn/R/sanitization-data.R | 55 + bnlearn-4.9/bnlearn/R/sanitization-discretization.R | 99 +- bnlearn-4.9/bnlearn/R/sanitization-enumeration.R | 7 bnlearn-4.9/bnlearn/R/sanitization-fitted-assignment.R | 25 bnlearn-4.9/bnlearn/R/sanitization-fitting.R | 124 ++- bnlearn-4.9/bnlearn/R/sanitization-graphgen.R | 170 ++-- bnlearn-4.9/bnlearn/R/sanitization-learning.R | 34 bnlearn-4.9/bnlearn/R/sanitization-loss.R | 104 +- bnlearn-4.9/bnlearn/R/sanitization-misc.R | 8 bnlearn-4.9/bnlearn/R/sanitization-models.R | 4 bnlearn-4.9/bnlearn/R/sanitization-predict.R | 89 ++ bnlearn-4.9/bnlearn/R/sanitization-queries.R | 112 +- bnlearn-4.9/bnlearn/R/sanitization-scores.R | 137 ++- bnlearn-4.9/bnlearn/R/sanitization-strength.R | 15 bnlearn-4.9/bnlearn/R/sanitization-tests.R | 25 bnlearn-4.9/bnlearn/R/sanitization-types.R | 2 bnlearn-4.9/bnlearn/R/sanitization-vsdata.R | 43 - bnlearn-4.9/bnlearn/R/simulation.R | 2 bnlearn-4.9/bnlearn/R/tabu.R | 58 + bnlearn-4.9/bnlearn/R/test.R | 14 bnlearn-4.9/bnlearn/R/utils-arcs.R | 10 bnlearn-4.9/bnlearn/R/utils-graph.R | 6 bnlearn-4.9/bnlearn/R/utils-misc.R | 35 bnlearn-4.9/bnlearn/man/arc.strength.Rd | 12 bnlearn-4.9/bnlearn/man/arcops.Rd | 12 bnlearn-4.9/bnlearn/man/bf.Rd | 10 bnlearn-4.9/bnlearn/man/bn.class.Rd | 7 bnlearn-4.9/bnlearn/man/bn.fit.Rd | 84 +- bnlearn-4.9/bnlearn/man/bn.fit.methods.Rd | 43 - bnlearn-4.9/bnlearn/man/compare.Rd | 6 bnlearn-4.9/bnlearn/man/cpdag.Rd | 6 bnlearn-4.9/bnlearn/man/graph.Rd | 14 bnlearn-4.9/bnlearn/man/graphgen.Rd | 30 bnlearn-4.9/bnlearn/man/graphviz.plot.Rd | 4 bnlearn-4.9/bnlearn/man/mb.Rd | 24 bnlearn-4.9/bnlearn/man/modelstring.Rd | 12 bnlearn-4.9/bnlearn/man/network.scores.Rd | 21 bnlearn-4.9/bnlearn/man/plot.bn.Rd | 10 bnlearn-4.9/bnlearn/man/predict.and.impute.Rd |only bnlearn-4.9/bnlearn/man/rbn.Rd | 29 bnlearn-4.9/bnlearn/man/score.Rd | 34 bnlearn-4.9/bnlearn/man/strength.plot.Rd | 17 bnlearn-4.9/bnlearn/src/Makevars | 20 bnlearn-4.9/bnlearn/src/core/contingency.tables.c | 16 bnlearn-4.9/bnlearn/src/core/contingency.tables.h | 2 bnlearn-4.9/bnlearn/src/core/math.functions.c | 33 bnlearn-4.9/bnlearn/src/core/math.functions.h | 1 bnlearn-4.9/bnlearn/src/fitted/enums.c | 22 bnlearn-4.9/bnlearn/src/fitted/fitted.c |only bnlearn-4.9/bnlearn/src/fitted/fitted.h | 60 + bnlearn-4.9/bnlearn/src/globals.c | 5 bnlearn-4.9/bnlearn/src/graphs/acyclic.c | 4 bnlearn-4.9/bnlearn/src/include/globals.h | 1 bnlearn-4.9/bnlearn/src/include/register.h | 3 bnlearn-4.9/bnlearn/src/inference/likelihood.weighting.c | 17 bnlearn-4.9/bnlearn/src/inference/loglikelihood |only bnlearn-4.9/bnlearn/src/inference/loss.c | 47 - bnlearn-4.9/bnlearn/src/inference/loss.h | 6 bnlearn-4.9/bnlearn/src/inference/rbn.c | 18 bnlearn-4.9/bnlearn/src/inference/rinterface |only bnlearn-4.9/bnlearn/src/math/conditional.least.squares.c | 48 - bnlearn-4.9/bnlearn/src/math/least.squares.c | 35 bnlearn-4.9/bnlearn/src/math/linear.algebra.h | 5 bnlearn-4.9/bnlearn/src/parameters/rinterface/mixture_ordinary_least_squares.c | 4 bnlearn-4.9/bnlearn/src/parameters/rinterface/ordinary_least_squares.c | 4 bnlearn-4.9/bnlearn/src/predict/map.lw.c | 2 bnlearn-4.9/bnlearn/src/predict/predict.c | 12 bnlearn-4.9/bnlearn/src/scores/cg.loglikelihood.c | 13 bnlearn-4.9/bnlearn/src/scores/cg.nal.c |only bnlearn-4.9/bnlearn/src/scores/cg.predictive.loglikelihood.c | 8 bnlearn-4.9/bnlearn/src/scores/discrete.loglikelihood.c | 3 bnlearn-4.9/bnlearn/src/scores/discrete.nal.c |only bnlearn-4.9/bnlearn/src/scores/discrete.predictive.loglikelihood.c | 6 bnlearn-4.9/bnlearn/src/scores/enum.c | 6 bnlearn-4.9/bnlearn/src/scores/gaussian.loglikelihood.c | 6 bnlearn-4.9/bnlearn/src/scores/gaussian.nal.c |only bnlearn-4.9/bnlearn/src/scores/gaussian.predictive.loglikelihood.c | 6 bnlearn-4.9/bnlearn/src/scores/per.node.score.c | 104 ++ bnlearn-4.9/bnlearn/src/scores/scores.h | 52 - 138 files changed, 3125 insertions(+), 1572 deletions(-)
Title: Analyses of Cancer Gene Interaction
Description: Functions to perform the following analyses: i) inferring epistasis from RNAi double knockdown data; ii) identifying gene pairs of multiple mutation patterns; iii) assessing association between gene pairs and survival; and iv) calculating the smallworldness of a graph (e.g., a gene interaction network). Data and analyses are described in Wang, X., Fu, A. Q., McNerney, M. and White, K. P. (2014). Widespread genetic epistasis among breast cancer genes. Nature Communications. 5 4828. <doi:10.1038/ncomms5828>.
Author: Audrey Qiuyan Fu and Xiaoyue Wang
Maintainer: Audrey Q. Fu <audreyqyfu@gmail.com>
Diff between cancerGI versions 1.0.0 dated 2016-04-01 and 1.0.1 dated 2023-09-07
cancerGI-1.0.0/cancerGI/man/cancerGI-package.Rd |only cancerGI-1.0.1/cancerGI/DESCRIPTION | 8 +- cancerGI-1.0.1/cancerGI/MD5 | 13 ++-- cancerGI-1.0.1/cancerGI/man/RNAi.Rd | 29 ++++++++-- cancerGI-1.0.1/cancerGI/man/computeSurvivalPValueForGenePairSet.output.Rd | 2 cancerGI-1.0.1/cancerGI/man/computeSurvivalPValueOneGenePair.Rd | 5 - cancerGI-1.0.1/cancerGI/man/computeSurvivalPValueOneGenePair.output.Rd | 4 - cancerGI-1.0.1/cancerGI/man/processDataMutSurv.Rd | 4 - 8 files changed, 37 insertions(+), 28 deletions(-)
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 3.2-1 dated 2023-05-13 and 3.2-3 dated 2023-09-07
DESCRIPTION | 10 - MD5 | 37 +++--- NEWS | 47 ++++++++ R/auc.R | 23 +++- R/bermantest.R | 4 R/circdensity.R | 5 R/compileK.R | 26 +++- R/envelope.R | 216 ++++++++++++++++++++++----------------- R/plot.fv.R | 32 ++++- R/quadrattest.R | 3 R/relrisk.R | 11 + R/rhohat.R | 5 R/sysdata.rda |binary inst/doc/packagesizes.txt | 1 man/compileCDF.Rd |only man/compileK.Rd | 4 man/dclf.test.Rd | 6 - man/plot.fv.Rd | 45 +++++++- man/spatstat.explore-internal.Rd | 13 +- tests/testsGtoJ.R | 22 +++ 20 files changed, 349 insertions(+), 161 deletions(-)
More information about spatstat.explore at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-09-05 1.2.3
2023-07-11 1.2.2
2023-03-28 1.2.1
2022-06-24 1.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-08-24 0.2.0
2019-03-08 0.1.0