Title: Fast Machine Learning Model Training and Evaluation
Description: Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing
comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning.
It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Author: Selcuk Korkmaz [aut, cre] ,
Dincer Goksuluk [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Diff between fastml versions 0.1.0 dated 2024-11-12 and 0.2.0 dated 2024-11-30
fastml-0.1.0/fastml/R/prepare_data.R |only fastml-0.1.0/fastml/R/validate_tuneGrid.R |only fastml-0.1.0/fastml/man/prepare_data.Rd |only fastml-0.1.0/fastml/man/validate_tuneGrid.Rd |only fastml-0.2.0/fastml/DESCRIPTION | 16 fastml-0.2.0/fastml/MD5 | 51 fastml-0.2.0/fastml/NAMESPACE | 90 fastml-0.2.0/fastml/R/evaluate_models.R | 221 - fastml-0.2.0/fastml/R/fastml.R | 470 +-- fastml-0.2.0/fastml/R/plot.fastml_model.R | 64 fastml-0.2.0/fastml/R/predict.fastml_model.R | 51 fastml-0.2.0/fastml/R/summary.fastml_model.R | 101 fastml-0.2.0/fastml/R/train_models.R | 1545 ++++++---- fastml-0.2.0/fastml/man/define_bagging_spec.Rd |only fastml-0.2.0/fastml/man/define_bayes_glm_spec.Rd |only fastml-0.2.0/fastml/man/define_c5_0_spec.Rd |only fastml-0.2.0/fastml/man/define_decision_tree_spec.Rd |only fastml-0.2.0/fastml/man/define_deep_learning_spec.Rd |only fastml-0.2.0/fastml/man/define_elastic_net_spec.Rd |only fastml-0.2.0/fastml/man/define_knn_spec.Rd |only fastml-0.2.0/fastml/man/define_lasso_regression_spec.Rd |only fastml-0.2.0/fastml/man/define_lda_spec.Rd |only fastml-0.2.0/fastml/man/define_lightgbm_spec.Rd |only fastml-0.2.0/fastml/man/define_linear_regression_spec.Rd |only fastml-0.2.0/fastml/man/define_logistic_regression_spec.Rd |only fastml-0.2.0/fastml/man/define_naive_bayes_spec.Rd |only fastml-0.2.0/fastml/man/define_neural_network_spec.Rd |only fastml-0.2.0/fastml/man/define_penalized_logistic_regression_spec.Rd |only fastml-0.2.0/fastml/man/define_pls_spec.Rd |only fastml-0.2.0/fastml/man/define_qda_spec.Rd |only fastml-0.2.0/fastml/man/define_random_forest_spec.Rd |only fastml-0.2.0/fastml/man/define_ranger_spec.Rd |only fastml-0.2.0/fastml/man/define_ridge_regression_spec.Rd |only fastml-0.2.0/fastml/man/define_svm_linear_spec.Rd |only fastml-0.2.0/fastml/man/define_svm_radial_spec.Rd |only fastml-0.2.0/fastml/man/define_xgboost_spec.Rd |only fastml-0.2.0/fastml/man/evaluate_models.Rd | 8 fastml-0.2.0/fastml/man/fastml.Rd | 132 fastml-0.2.0/fastml/man/predict.fastml_model.Rd | 7 fastml-0.2.0/fastml/man/train_models.Rd | 15 40 files changed, 1769 insertions(+), 1002 deletions(-)
Title: Unpivot Complex and Irregular Data Layouts
Description: Tools for converting data from complex or irregular layouts to a
columnar structure. For example, tables with multilevel column or row
headers, or spreadsheets. Header and data cells are selected by their
contents and position, as well as formatting and comments where available,
and are associated with one other by their proximity in given directions.
Functions for data frames and HTML tables are provided.
Author: Duncan Garmonsway [aut, cre]
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>
Diff between unpivotr versions 0.6.3 dated 2023-01-22 and 0.6.4 dated 2024-11-30
DESCRIPTION | 8 MD5 | 26 NEWS.md | 4 R/purpose.R | 5 README.md | 38 - build/vignette.rds |binary inst/doc/html.R | 12 inst/doc/html.html | 180 +++--- inst/doc/introduction.R | 2 inst/doc/introduction.html | 1137 ++++++++++++++++++-------------------- inst/doc/small-multiples.R | 6 inst/doc/small-multiples.html | 726 ++++++++++++------------ man/purpose.Rd | 5 tests/testthat/test-concatenate.R | 2 14 files changed, 1076 insertions(+), 1075 deletions(-)
Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets,
regression models, and more. The code to create the tables is concise
and highly customizable. Data frames can be summarized with any
function, e.g. mean(), median(), even user-written functions.
Regression models are summarized and include the reference rows for
categorical variables. Common regression models, such as logistic
regression and Cox proportional hazards regression, are automatically
identified and the tables are pre-filled with appropriate column
headers.
Author: Daniel D. Sjoberg [aut, cre] ,
Joseph Larmarange [aut] ,
Michael Curry [aut] ,
Jessica Lavery [aut] ,
Karissa Whiting [aut] ,
Emily C. Zabor [aut] ,
Xing Bai [ctb],
Esther Drill [ctb] ,
Jessica Flynn [ctb] ,
Margie Hannum [ctb] ,
Stephanie Lobaugh [c [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Diff between gtsummary versions 2.0.3 dated 2024-10-04 and 2.0.4 dated 2024-11-30
gtsummary-2.0.3/gtsummary/build/gtsummary.pdf |only gtsummary-2.0.4/gtsummary/DESCRIPTION | 12 gtsummary-2.0.4/gtsummary/MD5 | 365 +-- gtsummary-2.0.4/gtsummary/NAMESPACE | 5 gtsummary-2.0.4/gtsummary/NEWS.md | 30 gtsummary-2.0.4/gtsummary/R/add_ci.R | 13 gtsummary-2.0.4/gtsummary/R/add_ci.tbl_svysummary.R | 2 gtsummary-2.0.4/gtsummary/R/add_difference.R | 2 gtsummary-2.0.4/gtsummary/R/add_difference.tbl_svysummary.R | 2 gtsummary-2.0.4/gtsummary/R/add_glance.R | 17 gtsummary-2.0.4/gtsummary/R/add_global_p.R | 2 gtsummary-2.0.4/gtsummary/R/add_n.R | 2 gtsummary-2.0.4/gtsummary/R/add_n.tbl_survfit.R | 2 gtsummary-2.0.4/gtsummary/R/add_nevent.R | 2 gtsummary-2.0.4/gtsummary/R/add_nevent.tbl_survfit.R | 4 gtsummary-2.0.4/gtsummary/R/add_overall.R | 20 gtsummary-2.0.4/gtsummary/R/add_p.R | 6 gtsummary-2.0.4/gtsummary/R/add_p.tbl_continuous.R | 10 gtsummary-2.0.4/gtsummary/R/add_p.tbl_cross.R | 9 gtsummary-2.0.4/gtsummary/R/add_p.tbl_survfit.R | 2 gtsummary-2.0.4/gtsummary/R/add_p.tbl_svysummary.R | 4 gtsummary-2.0.4/gtsummary/R/add_q.R | 2 gtsummary-2.0.4/gtsummary/R/add_significance_stars.R | 2 gtsummary-2.0.4/gtsummary/R/add_vif.R | 4 gtsummary-2.0.4/gtsummary/R/as_flex_table.R | 23 gtsummary-2.0.4/gtsummary/R/as_gt.R | 38 gtsummary-2.0.4/gtsummary/R/as_hux_table.R | 21 gtsummary-2.0.4/gtsummary/R/as_kable_extra.R | 4 gtsummary-2.0.4/gtsummary/R/assign_summary_digits.R | 128 - gtsummary-2.0.4/gtsummary/R/brdg_hierarchical.R | 50 gtsummary-2.0.4/gtsummary/R/brdg_summary.R | 5 gtsummary-2.0.4/gtsummary/R/combine_terms.R | 2 gtsummary-2.0.4/gtsummary/R/custom_tidiers.R | 21 gtsummary-2.0.4/gtsummary/R/gather_ard.R | 4 gtsummary-2.0.4/gtsummary/R/glance_fun.R | 8 gtsummary-2.0.4/gtsummary/R/global_pvalue_fun.R | 10 gtsummary-2.0.4/gtsummary/R/import-standalone-check_pkg_installed.R | 61 gtsummary-2.0.4/gtsummary/R/import-standalone-checks.R | 76 gtsummary-2.0.4/gtsummary/R/import-standalone-cli_call_env.R | 4 gtsummary-2.0.4/gtsummary/R/import-standalone-forcats.R | 3 gtsummary-2.0.4/gtsummary/R/import-standalone-stringr.R | 51 gtsummary-2.0.4/gtsummary/R/import-standalone-tibble.R | 3 gtsummary-2.0.4/gtsummary/R/inline_text.tbl_regression.R | 2 gtsummary-2.0.4/gtsummary/R/inline_text.tbl_survfit.R | 2 gtsummary-2.0.4/gtsummary/R/inline_text.tbl_uvregression.R | 2 gtsummary-2.0.4/gtsummary/R/modify.R | 2 gtsummary-2.0.4/gtsummary/R/modify_column_indent.R | 2 gtsummary-2.0.4/gtsummary/R/modify_column_merge.R | 2 gtsummary-2.0.4/gtsummary/R/modify_source_note.R |only gtsummary-2.0.4/gtsummary/R/plot.R | 4 gtsummary-2.0.4/gtsummary/R/set_gtsummary_theme.R | 4 gtsummary-2.0.4/gtsummary/R/sysdata.rda |binary gtsummary-2.0.4/gtsummary/R/tbl_ard_hierarchical.R | 29 gtsummary-2.0.4/gtsummary/R/tbl_ard_summary.R | 16 gtsummary-2.0.4/gtsummary/R/tbl_cross.R | 2 gtsummary-2.0.4/gtsummary/R/tbl_hierarchical.R | 262 +- gtsummary-2.0.4/gtsummary/R/tbl_merge.R | 2 gtsummary-2.0.4/gtsummary/R/tbl_regression.R | 4 gtsummary-2.0.4/gtsummary/R/tbl_regression_methods.R | 4 gtsummary-2.0.4/gtsummary/R/tbl_stack.R | 2 gtsummary-2.0.4/gtsummary/R/tbl_strata.R | 3 gtsummary-2.0.4/gtsummary/R/tbl_summary.R | 16 gtsummary-2.0.4/gtsummary/R/tbl_survfit.R | 6 gtsummary-2.0.4/gtsummary/R/tbl_svysummary.R | 7 gtsummary-2.0.4/gtsummary/R/tbl_uvregression.R | 4 gtsummary-2.0.4/gtsummary/R/theme_gtsummary.R | 13 gtsummary-2.0.4/gtsummary/R/utils-add_p_tests.R | 62 gtsummary-2.0.4/gtsummary/R/utils-as.R | 5 gtsummary-2.0.4/gtsummary/R/utils-gtsummary_core.R | 7 gtsummary-2.0.4/gtsummary/build/stage23.rdb |binary gtsummary-2.0.4/gtsummary/build/vignette.rds |binary gtsummary-2.0.4/gtsummary/inst/WORDLIST | 4 gtsummary-2.0.4/gtsummary/inst/doc/gtsummary_definition.R | 42 gtsummary-2.0.4/gtsummary/inst/doc/gtsummary_definition.Rmd | 24 gtsummary-2.0.4/gtsummary/inst/doc/gtsummary_definition.html | 1188 ++++++---- gtsummary-2.0.4/gtsummary/man/add_ci.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_ci.tbl_svysummary.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_difference.tbl_summary.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_difference.tbl_svysummary.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_glance.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_global_p.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_n.tbl_survfit.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_n_summary.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_nevent.tbl_survfit.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_nevent_regression.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_overall.Rd | 21 gtsummary-2.0.4/gtsummary/man/add_p.tbl_continuous.Rd | 10 gtsummary-2.0.4/gtsummary/man/add_p.tbl_summary.Rd | 4 gtsummary-2.0.4/gtsummary/man/add_p.tbl_survfit.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_p.tbl_svysummary.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_q.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_significance_stars.Rd | 2 gtsummary-2.0.4/gtsummary/man/add_vif.Rd | 2 gtsummary-2.0.4/gtsummary/man/as_flex_table.Rd | 2 gtsummary-2.0.4/gtsummary/man/as_hux_table.Rd | 2 gtsummary-2.0.4/gtsummary/man/as_kable_extra.Rd | 2 gtsummary-2.0.4/gtsummary/man/brdg_hierarchical.Rd | 4 gtsummary-2.0.4/gtsummary/man/custom_tidiers.Rd | 11 gtsummary-2.0.4/gtsummary/man/gather_ard.Rd | 2 gtsummary-2.0.4/gtsummary/man/glance_fun_s3.Rd | 2 gtsummary-2.0.4/gtsummary/man/global_pvalue_fun.Rd | 5 gtsummary-2.0.4/gtsummary/man/inline_text.tbl_regression.Rd | 2 gtsummary-2.0.4/gtsummary/man/inline_text.tbl_survfit.Rd | 2 gtsummary-2.0.4/gtsummary/man/inline_text.tbl_uvregression.Rd | 2 gtsummary-2.0.4/gtsummary/man/modify_column_merge.Rd | 2 gtsummary-2.0.4/gtsummary/man/modify_source_note.Rd |only gtsummary-2.0.4/gtsummary/man/plot.Rd | 2 gtsummary-2.0.4/gtsummary/man/tbl_ard_hierarchical.Rd | 10 gtsummary-2.0.4/gtsummary/man/tbl_ard_summary.Rd | 15 gtsummary-2.0.4/gtsummary/man/tbl_hierarchical.Rd | 48 gtsummary-2.0.4/gtsummary/man/tbl_merge.Rd | 2 gtsummary-2.0.4/gtsummary/man/tbl_regression.Rd | 2 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gtsummary-2.0.4/gtsummary/tests/testthat/test-add_difference.tbl_summary.R | 4 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_difference.tbl_svysummary.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_glance.R | 22 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_global_p.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_global_p.tbl_regression.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_global_p.tbl_uvregression.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_n.tbl_svysummary.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_n.tbl_uvregression.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_nevent.tbl_uvregression.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_overall.tbl_custom_summary.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_overall.tbl_hierarchical.R |only gtsummary-2.0.4/gtsummary/tests/testthat/test-add_overall.tbl_svysummary.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_p.tbl_continuous.R | 12 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_p.tbl_cross.R | 5 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_p.tbl_summary.R | 8 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_p.tbl_survfit.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_p.tbl_svysummary.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_significance_stars.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_stat.R | 4 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_stat_label.tbl_ard_summary.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_stat_label.tbl_svysummary.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-add_vif.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-as_flex_table.R | 86 gtsummary-2.0.4/gtsummary/tests/testthat/test-as_gt.R | 17 gtsummary-2.0.4/gtsummary/tests/testthat/test-as_hux_table.R | 10 gtsummary-2.0.4/gtsummary/tests/testthat/test-as_kable.R | 6 gtsummary-2.0.4/gtsummary/tests/testthat/test-as_kable_extra.R | 4 gtsummary-2.0.4/gtsummary/tests/testthat/test-bold_p.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-combine_terms.R | 6 gtsummary-2.0.4/gtsummary/tests/testthat/test-custom_tidiers.R | 10 gtsummary-2.0.4/gtsummary/tests/testthat/test-gather_ard.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-inline_text.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-label_style.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-modify_caption.R | 4 gtsummary-2.0.4/gtsummary/tests/testthat/test-modify_column_merge.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-modify_fmt_fun.R | 2 gtsummary-2.0.4/gtsummary/tests/testthat/test-modify_footnote.R | 4 gtsummary-2.0.4/gtsummary/tests/testthat/test-modify_header.R | 4 gtsummary-2.0.4/gtsummary/tests/testthat/test-modify_source_note.R |only gtsummary-2.0.4/gtsummary/tests/testthat/test-modify_spanning_header.R | 4 gtsummary-2.0.4/gtsummary/tests/testthat/test-plot.tbl_regression.R | 2 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Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use
in photobiology and radiation meteorology and climatology. Calculation of
effective (weighted) and not-weighted irradiances/doses, fluence rates,
transmittance, reflectance, absorptance, absorbance and diverse ratios and
other derived quantities from spectral data. Local maxima and minima: peaks,
valleys and spikes. Conversion between energy-and photon-based units.
Wavelength interpolation. Astronomical calculations related solar angles and
day length. Colours and vision. This package is part of the 'r4photobiology'
suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] ,
Titta K. Kotilainen [ctb] ,
Glenn Davis [ctb],
Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>
Diff between photobiology versions 0.11.3 dated 2024-08-25 and 0.11.4 dated 2024-11-30
DESCRIPTION | 8 MD5 | 158 ++++++++--------- NAMESPACE | 16 + NEWS.md | 19 ++ R/cieillum.data.r | 66 ++++++- R/ciexyz.data.r | 2 R/color.of.R | 14 + R/on-attach.R | 2 R/photobiology.r | 4 R/rbindspct.r | 8 R/spct.metadata.r | 267 +++++++++++++++++------------ R/spct.normalize.r | 11 - R/sun.calc.r | 20 +- R/zmspct.classes.R | 13 - build/partial.rdb |binary build/vignette.rds |binary data/A.illuminant.spct.rda |binary data/D2-FEL-constants.rda |binary data/D50.illuminant.spct.rda |only data/D65.illuminant.spct.rda |binary data/Ler-leaf-spct.rda |binary data/beesxyz.spct.rda |binary data/black_body.spct.rda |binary data/ccd.spct.rda |binary data/ciev10.spct.rda |binary data/ciev2.spct.rda |binary data/ciexyzCC10.spct.rda |binary data/ciexyzCC2.spct.rda |binary data/ciexyzCMF10.spct.rda |binary data/ciexyzCMF2.spct.rda |binary data/clear_body.spct.rda |binary data/cone_fundamentals10.spct.rda |binary data/filter-cps-mspct.rda |binary data/filter-data.rda |binary data/green_leaf.spct.rda |binary data/photodiode.spct.rda |binary data/r4p-pkgs.rda |binary data/solutes.rda |binary data/sun.data.rda |binary data/white-led-spct.rda |binary data/white_body.spct.rda |binary inst/doc/userguide-0-r4p-introduction.html | 4 inst/doc/userguide-1-radiation.R | 26 +- inst/doc/userguide-1-radiation.Rmd | 12 - inst/doc/userguide-1-radiation.html | 20 +- inst/doc/userguide-2-astronomy.R | 40 ++-- inst/doc/userguide-2-astronomy.Rmd | 46 ++-- inst/doc/userguide-2-astronomy.html | 194 ++++++++++----------- man/A.illuminant.spct.Rd | 18 + man/D50.illuminant.spct.Rd |only man/D65.illuminant.spct.Rd | 17 + man/Ler_leaf.spct.Rd | 1 man/add_attr2tb.Rd | 4 man/black_body.spct.Rd | 1 man/ccd.spct.Rd | 1 man/clear.spct.Rd | 1 man/color_of.Rd | 6 man/cone_fundamentals10.spct.Rd | 2 man/day_night.Rd | 20 +- man/filter_cps.mspct.Rd | 1 man/getHowMeasured.Rd | 9 man/getWhatMeasured.Rd | 10 - man/getWhenMeasured.Rd | 12 - man/getWhereMeasured.Rd | 9 man/green_leaf.spct.Rd | 1 man/phenylalanine.spct.Rd | 1 man/photobiology-package.Rd | 4 man/photodiode.spct.Rd | 1 man/setHowMeasured.Rd | 47 ++++- man/setWhatMeasured.Rd | 35 +++ man/setWhenMeasured.Rd | 13 + man/setWhereMeasured.Rd | 8 man/subset2mspct.Rd | 5 man/sun.spct.Rd | 1 man/sun_daily.spct.Rd | 1 man/sun_evening.spct.Rd | 1 man/two_filters.spct.Rd | 1 man/water.spct.Rd | 1 man/white_led.source_spct.Rd | 1 vignettes/userguide-1-radiation.Rmd | 12 - vignettes/userguide-2-astronomy.Rmd | 46 ++-- 81 files changed, 778 insertions(+), 463 deletions(-)
Title: Access to Spanish Household Income Distribution Atlas Data
Description: Provides access to granular socioeconomic indicators from the
Spanish Statistical Office (INE) Household Income Distribution Atlas.
The package downloads and processes data from a companion 'GitHub'
repository (<https://github.com/pablogguz/ineAtlas.data/>) which contains
processed versions of the official INE Atlas data. Functions are
provided to fetch data at multiple geographic levels (municipalities,
districts, and census tracts), including income indicators,
demographic characteristics, and inequality metrics. The data
repository is updated every year when new releases are published by
INE.
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>
Diff between ineAtlas versions 0.1.2 dated 2024-11-08 and 0.1.3 dated 2024-11-30
DESCRIPTION | 6 +++--- MD5 | 22 ++++++++++++---------- NAMESPACE | 1 + NEWS.md | 4 ++++ R/get_atlas.r | 11 +++++++---- R/get_census.r |only README.md | 9 ++++++++- inst/doc/ineAtlas-income-voting.Rmd | 1 + inst/doc/ineAtlas-income-voting.html | 11 +++++++---- inst/doc/mapping-with-ineatlas.html | 4 ++-- man/get_atlas.Rd | 6 +++--- man/get_census.Rd |only vignettes/ineAtlas-income-voting.Rmd | 1 + 13 files changed, 49 insertions(+), 27 deletions(-)
Title: Weighted Meta-Analysis with Pseudo-Populations
Description: Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.
Author: Subharup Guha [aut, cre],
Mengqi Xu [aut],
Kashish Priyam [aut],
Yi Li [aut]
Maintainer: Subharup Guha <s.guha@ufl.edu>
Diff between WMAP versions 1.0.0 dated 2024-11-07 and 1.1.0 dated 2024-11-30
DESCRIPTION | 6 +++--- MD5 | 28 ++++++++++++++++++---------- NAMESPACE | 6 ++++++ R/accessor.R |only R/other-functions.R | 9 +++++---- R/plot.R | 25 +++++++++++++++++-------- R/print.R |only R/stage-1-functions.R | 2 +- R/stage-2-functions.R | 4 +--- R/summary.R | 35 ++++++++++++++++++++++++++--------- man/get_weights.Rd |only man/mean_diff.Rd |only man/percentESS.Rd |only man/plot.causal_estimates.Rd | 13 ++++++++++--- man/print.balancing_weights.Rd |only man/print.causal_estimates.Rd |only man/sigma_ratio.Rd |only man/summary.balancing_weights.Rd | 2 +- man/summary.causal_estimates.Rd | 6 ++++-- 19 files changed, 92 insertions(+), 44 deletions(-)