Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Description: Provides helper functions and wrappers to simplify authentication,
data retrieval, and result processing from the 'VALD' 'APIs'.
Designed to streamline integration for analysts and researchers working
with 'VALD's external 'APIs'.
For further documentation on integrating with 'VALD' 'APIs', see:
<https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>.
For a step-by-step guide to using this package, see:
<https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.
Author: Kieran Harrison [aut, cre],
VALD Support [ctb],
VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>
Diff between valdr versions 1.0.1 dated 2025-07-24 and 2.0.0 dated 2025-08-31
DESCRIPTION | 6 - MD5 | 61 ++++++++---- NAMESPACE | 13 +- R/auth.R | 7 + R/config.R | 11 +- R/forcedecks_result_definitions.R | 26 ++++- R/forcedecks_tests.R | 30 +++--- R/forcedecks_trials.R | 52 +++++----- R/forceframe_tests.R |only R/forceframe_tests_by_id.R |only R/nordbord_tests.R |only R/nordbord_tests_by_id.R |only R/profiles.R | 19 ++-- R/session.R | 147 +++++++++++++++++++++++++++++++ R/utils.R |only man/authenticate.Rd | 2 man/dot-build_forceframe_df.Rd |only man/dot-build_nordbord_df.Rd |only man/dot-onAttach.Rd | 34 +++---- man/dot-onLoad.Rd | 44 ++++----- man/dot-retry_key_get.Rd | 52 +++++----- man/dot-safe_extract.Rd |only man/dot-safe_extract_first.Rd |only man/dot-safe_value.Rd |only man/dot-validate_single_guid.Rd |only man/get_access_token.Rd | 2 man/get_forcedecks_result_definitions.Rd | 2 man/get_forcedecks_tests.Rd | 2 man/get_forcedecks_trials.Rd | 2 man/get_forceframe_data.Rd |only man/get_forceframe_test_by_id.Rd |only man/get_forceframe_tests.Rd |only man/get_forceframe_tests_by_id.Rd |only man/get_forceframe_tests_only.Rd |only man/get_nordbord_data.Rd |only man/get_nordbord_test_by_id.Rd |only man/get_nordbord_tests.Rd |only man/get_nordbord_tests_by_id.Rd |only man/get_nordbord_tests_only.Rd |only man/get_profiles.Rd | 2 man/is_token_valid.Rd | 1 man/load_credentials.Rd | 4 42 files changed, 365 insertions(+), 154 deletions(-)
Title: Score Matching Estimation by Automatic Differentiation
Description: Hyvärinen's score matching (Hyvärinen, 2005) <https://jmlr.org/papers/v6/hyvarinen05a.html> is a useful estimation technique when the normalising constant for a probability distribution is difficult to compute. This package implements score matching estimators using automatic differentiation in the 'CppAD' library <https://github.com/coin-or/CppAD> and is designed for quickly implementing score matching estimators for new models. Also available is general robustification (Windham, 1995) <https://www.jstor.org/stable/2346159>. Already in the package are estimators for directional distributions (Mardia, Kent and Laha, 2016) <doi:10.48550/arXiv.1604.08470> and the flexible Polynomially-Tilted Pairwise Interaction model for compositional data. The latter estimators perform well when there are zeros in the compositions (Scealy and Wood, 2023) <doi:10.1080/01621459.2021.2016422>, even many zeros (Scealy, Hingee, Kent, and Wood, 2024) <doi:10.1007/s11222-024-1 [...truncated...]
Author: Kassel Liam Hingee [aut, cre] ,
Janice Scealy [aut] ,
Bradley M. Bell [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@anu.edu.au>
Diff between scorematchingad versions 0.1.1 dated 2025-01-08 and 0.1.4 dated 2025-08-31
DESCRIPTION | 11 +- MD5 | 79 +++++++++-------- NAMESPACE | 7 + NEWS.md | 10 ++ R/RcppExports.R | 81 ++++++++++++++--- R/cppad_search_SE.R | 2 R/evaltape.R | 1 R/paramvec_utils.R | 1 R/ppi.R | 13 -- R/tape_bdryw.R |only R/tape_smd.R | 32 ++++-- R/tape_uld.R | 3 R/tapell.R | 2 README.md | 14 +-- build/partial.rdb |binary inst/include/manifoldtransforms/bdryweights.hpp | 2 inst/include/scorematchingad_forward.h | 2 man/avgrange.Rd |only man/fixdynamic.Rd |only man/fixindependent.Rd |only man/keeprange.Rd |only man/ppi.Rd | 15 --- man/tape_Hessian.Rd | 5 + man/tape_Jacobian.Rd | 5 + man/tape_bdryw.Rd |only man/tape_gradoffset.Rd | 5 + man/tape_logJacdet.Rd | 5 + man/tape_smd.Rd | 9 + man/tape_swap.Rd | 5 + man/tape_uld.Rd | 8 + src/RcppExports.cpp | 79 ++++++++++++----- src/avgrange.cpp |only src/avgrange.h |only src/fixdynamic.cpp | 36 +++---- src/fixdynamic.h | 14 ++- src/fixindependent.cpp |only src/fixindependent.h |only src/keeprange.cpp |only src/keeprange.h |only src/tapebdryweight.cpp | 29 ++++++ src/tapebdryweight.h | 21 ++++ src/tapell.cpp | 111 ------------------------ src/tapell.h | 25 ----- src/tapesmd.cpp | 23 ---- src/tapesmd.h | 3 tests/testthat/test-fixdynamic.R | 24 +++++ tests/testthat/test-tape_bdryw.R |only 47 files changed, 381 insertions(+), 301 deletions(-)
More information about scorematchingad at CRAN
Permanent link
Title: Tools and Palettes for Bivariate Thematic Mapping
Description: Provides a 'ggplot2' centric approach to bivariate mapping. This is a
technique that maps two quantities simultaneously rather than the single value
that most thematic maps display. The package provides a suite of tools
for calculating breaks using multiple different approaches, a selection of
palettes appropriate for bivariate mapping and scale functions for 'ggplot2'
calls that adds those palettes to maps. Tools for creating bivariate legends
are also included.
Author: Christopher Prener [aut, cre] ,
Timo Grossenbacher [aut],
Angelo Zehr [aut],
Joshua Stevens [ctb]
Maintainer: Christopher Prener <chris.prener@gmail.com>
Diff between biscale versions 1.0.0 dated 2022-05-27 and 1.1.0 dated 2025-08-31
DESCRIPTION | 13 MD5 | 62 +-- NEWS.md | 9 R/bi_class.R | 127 ++++++- R/bi_legend.R | 26 + R/bi_pal.R | 2 R/bi_scale_color.R | 4 R/bi_scale_fill.R | 4 R/bi_theme.R | 6 README.md | 110 +++--- build/vignette.rds |binary inst/doc/biscale.Rmd | 4 inst/doc/biscale.html | 568 ++++++++++++++++++++++++++-------- inst/doc/bivariate_palettes.html | 648 +++++++++++++++++++++++++++----------- inst/doc/breaks.R | 3 inst/doc/breaks.Rmd | 34 ++ inst/doc/breaks.html | 649 +++++++++++++++++++++++++++++---------- inst/doc/rasters.html | 492 +++++++++++++++++++++-------- inst/extdata/chinese_chr.R |only inst/extdata/example_code.R | 14 man/bi_class.Rd | 6 man/bi_class_breaks.Rd | 13 man/bi_legend.Rd | 13 man/bi_scale_color.Rd | 4 man/bi_scale_fill.Rd | 4 man/bi_theme.Rd | 2 man/figures/legend1.jpeg |binary man/figures/legend2.jpeg |binary man/figures/legend3.jpeg |binary man/figures/legend5.jpeg |only man/figures/legend_padding.jpeg |binary vignettes/biscale.Rmd | 4 vignettes/breaks.Rmd | 34 ++ 33 files changed, 2127 insertions(+), 728 deletions(-)
Title: Known Sub-Sequence Algorithm
Description: Implements the Known Sub-Sequence Algorithm <doi:10.1016/j.aaf.2021.12.013>, which helps to automatically identify and validate the best method for missing data imputation in a time series. Supports the comparison of multiple state-of-the-art algorithms.
Author: Ivan Felipe Benavides [aut, cre, cph] ,
Steffen Moritz [aut] ,
Brayan-David Aroca-Gonzalez [aut] ,
Jhoana Romero [aut] ,
Marlon Santacruz [aut] ,
John-Josephraj Selvaraj [aut]
Maintainer: Ivan Felipe Benavides <pipeben@gmail.com>
Diff between kssa versions 0.0.1 dated 2022-06-21 and 0.0.5 dated 2025-08-31
DESCRIPTION | 32 +++++++++++++++++--------------- MD5 | 14 +++++++------- NEWS.md | 5 +++++ R/get_imputations.R | 2 +- R/kssa.R | 2 +- README.md | 4 ++-- man/get_imputations.Rd | 2 +- man/kssa.Rd | 2 +- 8 files changed, 35 insertions(+), 28 deletions(-)
Title: Plotting for Bayesian Models
Description: Plotting functions for posterior analysis, MCMC diagnostics,
prior and posterior predictive checks, and other visualizations
to support the applied Bayesian workflow advocated in
Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>.
The package is designed not only to provide convenient functionality
for users, but also a common set of functions that can be easily used by
developers working on a variety of R packages for Bayesian modeling,
particularly (but not exclusively) packages interfacing with 'Stan'.
Author: Jonah Gabry [aut, cre],
Tristan Mahr [aut] ,
Paul-Christian Buerkner [ctb],
Martin Modrak [ctb],
Malcolm Barrett [ctb],
Frank Weber [ctb],
Eduardo Coronado Sroka [ctb],
Teemu Sailynoja [ctb],
Aki Vehtari [ctb],
Behram Ulukir [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>
Diff between bayesplot versions 1.13.0 dated 2025-06-18 and 1.14.0 dated 2025-08-31
DESCRIPTION | 30 +- MD5 | 62 ++--- NAMESPACE | 2 NEWS.md | 11 + R/bayesplot-helpers.R | 50 ++++ R/bayesplot-package.R | 3 R/ppc-discrete.R | 295 +++++++++++++++++++--------- R/ppc-distributions.R | 55 ++++- R/ppc-errors.R | 158 ++++++++++---- R/ppc-scatterplots.R | 50 +++- R/ppc-test-statistics.R | 39 +++ R/ppd-distributions.R | 37 +++ R/ppd-test-statistics.R | 18 + inst/doc/graphical-ppcs.html | 5 inst/doc/plotting-mcmc-draws.html | 4 inst/doc/visual-mcmc-diagnostics.html | 4 man/PPC-discrete.Rd | 59 ++++- man/PPC-distributions.Rd | 23 +- man/PPC-errors.Rd | 42 +++ man/PPC-scatterplots.Rd | 30 ++ man/PPC-test-statistics.Rd | 17 + man/PPD-distributions.Rd | 10 man/PPD-test-statistics.Rd | 5 man/bayesplot-package.Rd | 3 tests/testthat/data-for-binomial.rda |binary tests/testthat/test-convenience-functions.R | 73 ++++++ tests/testthat/test-ppc-discrete.R | 26 ++ tests/testthat/test-ppc-distributions.R | 52 ++++ tests/testthat/test-ppc-errors.R | 28 ++ tests/testthat/test-ppc-loo.R | 3 tests/testthat/test-ppc-scatterplots.R | 9 tests/testthat/test-ppc-test-statistics.R | 48 ++++ 32 files changed, 1012 insertions(+), 239 deletions(-)
Title: Biologically Informed Metabolomic Databases from 'PubChem'
Description: All 'PubChem' compounds are downloaded to a local computer, but for each compound, only partial records are used. The data are organized into small files referenced by 'PubChem' CID. This package also contains functions to parse the biologically relevant compounds from all 'PubChem' compounds, using biological database sources, pathway presence, and taxonomic relationships. Taxonomy is used to generate a lowest common ancestor taxonomy ID (NCBI) for each biological metabolite, which then enables creation of taxonomically specific metabolome databases for any taxon.
Author: Corey Broeckling [aut, cre]
Maintainer: Corey Broeckling <cbroeckl@colostate.edu>
Diff between pubchem.bio versions 1.0.0 dated 2025-08-28 and 1.0.1 dated 2025-08-31
DESCRIPTION | 9 MD5 | 24 - NEWS.md | 4 R/build.cid.lca.R | 3 R/build.primary.metabolome.R | 6 R/build.pubchem.bio.R | 24 + R/build.taxon.metabolome.R | 8 R/get.pubchem.ftp.R | 463 ++++++++++++++++++++----------------- inst/doc/pubchem.bio.vignette.R | 156 +++++++++++- inst/doc/pubchem.bio.vignette.Rmd | 205 +++++++++++++--- inst/doc/pubchem.bio.vignette.html | 397 ++++++++++++++++++++++--------- man/build.pubchem.bio.Rd | 6 vignettes/pubchem.bio.vignette.Rmd | 205 +++++++++++++--- 13 files changed, 1080 insertions(+), 430 deletions(-)
Title: Named Entity Recognition in Texts using 'NameTag'
Description: Wraps the 'nametag' library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models.
Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.
Author: Jan Wijffels [aut, cre, cph],
BNOSAC [cph],
Institute of Formal and Applied Linguistics, Faculty of Mathematics and
Physics, Charles University in Prague, Czech Republic [cph],
Milan Straka [ctb, cph],
Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between nametagger versions 0.1.3 dated 2023-09-13 and 0.1.5 dated 2025-08-31
DESCRIPTION | 8 - MD5 | 12 +- NEWS.md | 10 + R/nametagger.R | 37 ++++-- man/nametagger.Rd | 227 ++++++++++++++++++-------------------- man/nametagger_download_model.Rd | 65 +++++----- src/nametag/src/utils/parse_int.h | 2 7 files changed, 194 insertions(+), 167 deletions(-)
Title: Automatically Runs 36 Logistic Models (Individual and Ensembles)
Description: Automatically returns 24 logistic models including 13 individual models and 11 ensembles of models of logistic data. The package also returns 25 plots, 5 tables, and a summary report. The package automatically
builds all 24 models, reports all results, and provides graphics to show how the models performed. This can be used for a wide range of data, such as sports or medical data. The package includes medical data (the Pima Indians data set), and
information about the performance of Lebron James. The package can be used to analyze many other examples, such as stock market data. The package automatically returns many values for each model, such as
True Positive Rate, True Negative Rate, False Positive Rate, False Negative Rate, Positive Predictive Value, Negative Predictive Value, F1 Score, Area Under the Curve. The package also returns 36 Receiver
Operating Characteristic (ROC) curves for each of the 24 models.
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Diff between LogisticEnsembles versions 0.8.0 dated 2025-08-31 and 0.8.1 dated 2025-08-31
DESCRIPTION | 12 ++++++------ MD5 | 4 ++-- NEWS.md | 2 ++ 3 files changed, 10 insertions(+), 8 deletions(-)
More information about LogisticEnsembles at CRAN
Permanent link
Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large)
Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph],
Victor Morales-Onate [ctb],
Francisco Cuevas-Pacheco [ctb],
Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>
Diff between GeoModels versions 2.1.8 dated 2025-07-30 and 2.1.9 dated 2025-08-31
DESCRIPTION | 8 MD5 | 66 +- NAMESPACE | 5 R/GeoCompositeLik2.R | 6 R/GeoCovmatrix.r | 31 R/GeoFit.r | 7 R/GeoFit2.R | 7 R/GeoIndCompositeLik2.R | 24 R/GeoKrig.r | 110 +-- R/GeoKrigWeights.R |only R/GeoKrigloc.R | 38 - R/GeoKriglocWeights.R |only R/GeoNeighborhood.R | 481 ++++++--------- R/GeoSim.r | 17 R/GeoSimapprox.r | 14 R/GeoSimcond.R | 1181 +++++++++++++++++++++++++------------ R/GeoVariogram.r | 7 R/GeoWls.r | 2 R/Utility.r | 30 R/Utility_cov.R | 29 man/GeoKrig.Rd | 4 man/GeoKrigWeights.Rd |only man/GeoKriglocWeights.Rd |only man/GeoSimcond.Rd | 31 man/getInvC.Rd |only src/1F1.c | 361 ++++++++--- src/2kummer.c | 533 +++++++++------- src/CompositeLikelihood2.c | 96 ++- src/CompositeLikelihood2_ani.c | 44 + src/CompositeLikelihoodCond2.c | 98 +++ src/CompositeLikelihoodCond2_ani.c | 46 + src/CorrelationFunction.c | 24 src/Distributions.c | 197 ++++++ src/GeoModels_init.c | 39 + src/Utility.c | 15 src/header.h | 8 src/skewgaussian_gibbs.c |only 37 files changed, 2408 insertions(+), 1151 deletions(-)
Title: Non-Homogeneous Markov and Hidden Markov Multistate Models
Description: Fits non-homogeneous Markov multistate models and misclassification-type hidden Markov models in continuous time to intermittently observed data. Implements the methods in Titman (2011) <doi:10.1111/j.1541-0420.2010.01550.x>. Uses direct numerical solution of the Kolmogorov forward equations to calculate the transition probabilities.
Author: Andrew Titman [aut, cre]
Maintainer: Andrew Titman <a.titman@lancaster.ac.uk>
Diff between nhm versions 0.1.1 dated 2023-11-02 and 0.1.2 dated 2025-08-31
nhm-0.1.1/nhm/.Rinstignore |only nhm-0.1.2/nhm/DESCRIPTION | 6 nhm-0.1.2/nhm/MD5 | 40 nhm-0.1.2/nhm/NAMESPACE | 4 nhm-0.1.2/nhm/NEWS | 11 nhm-0.1.2/nhm/R/fitting.R | 1281 +++++++++++------- nhm-0.1.2/nhm/R/main.R | 515 ++++--- nhm-0.1.2/nhm/R/process.R | 480 +++++- nhm-0.1.2/nhm/R/state_occupancy_routines.R |only nhm-0.1.2/nhm/R/utils.R | 313 +++- nhm-0.1.2/nhm/build/vignette.rds |binary nhm-0.1.2/nhm/data/example_data1.rda |binary nhm-0.1.2/nhm/inst/doc/nhm-manual.pdf |binary nhm-0.1.2/nhm/inst/doc/nhm-manual.tex | 325 ++-- nhm-0.1.2/nhm/man/expected_hitting_time.Rd |only nhm-0.1.2/nhm/man/model.nhm.Rd | 40 nhm-0.1.2/nhm/man/nhm.Rd | 4 nhm-0.1.2/nhm/man/nhm.control.Rd | 33 nhm-0.1.2/nhm/man/plot.nhm.Rd | 172 +- nhm-0.1.2/nhm/man/predict.nhm.Rd | 145 +- nhm-0.1.2/nhm/man/print.nhm_score.Rd | 101 - nhm-0.1.2/nhm/man/state_life_expectancy.Rd |only nhm-0.1.2/nhm/man/state_occupation_probability.nhm.Rd |only nhm-0.1.2/nhm/vignettes/nhm-manual.tex | 325 ++-- 24 files changed, 2423 insertions(+), 1372 deletions(-)
Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a
model without having to remember the different argument names across
different functions or computational engines (e.g. 'R', 'Spark',
'Stan', 'H2O', etc).
Author: Max Kuhn [aut, cre],
Davis Vaughan [aut],
Emil Hvitfeldt [ctb],
Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Diff between parsnip versions 1.3.2 dated 2025-05-28 and 1.3.3 dated 2025-08-31
DESCRIPTION | 6 +- MD5 | 20 ++++---- NEWS.md | 8 +++ R/svm_linear_data.R | 4 - R/tunable.R | 87 ++++++++++++++++++++++++++----------- build/stage23.rdb |binary build/vignette.rds |binary man/details_boost_tree_lightgbm.Rd | 2 man/details_svm_linear_kernlab.Rd | 4 - man/rmd/svm_linear_kernlab.md | 4 - tests/testthat/_snaps/translate.md | 6 ++ 11 files changed, 96 insertions(+), 45 deletions(-)
Title: Automatically Runs 36 Logistic Models (Individual and Ensembles)
Description: Automatically returns 36 logistic models including 23 individual models and 13 ensembles of models of logistic data. The package also returns 10 plots, 5 tables, and a summary report. The package automatically
builds all 36 models, reports all results, and provides graphics to show how the models performed. This can be used for a wide range of data sets. The package includes medical data (the Pima Indians data set), and
information about the performance of Lebron James. The package can be used to analyze many other examples, such as stock market data. The package automatically returns many values for each model, such as
True Positive Rate, True Negative Rate, False Positive Rate, False Negative Rate, Positive Predictive Value, Negative Predictive Value, F1 Score, Area Under the Curve. The package also returns 36 Receiver
Operating Characteristic (ROC) curves for each of the 36 models.
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Diff between LogisticEnsembles versions 0.6.0 dated 2025-08-24 and 0.8.0 dated 2025-08-31
DESCRIPTION | 8 MD5 | 24 NAMESPACE | 3 R/Logistic.R | 4250 +++------- README.md | 206 inst/doc/LogisticEnsembles-vignette.Rmd | 140 inst/doc/LogisticEnsembles-vignette.html | 124 vignettes/Accuracy_including_train_and_holdout_by_model_and_resample.png |binary vignettes/Duration_barchart.png |binary vignettes/LogisticEnsembles-vignette.Rmd | 140 vignettes/Model_accuracy_barchart.png |binary vignettes/Over_or_underfitting_barchart.png |binary vignettes/ROC_curves.png |binary 13 files changed, 1791 insertions(+), 3104 deletions(-)
More information about LogisticEnsembles at CRAN
Permanent link
Title: Econometric Analysis of Explosive Time Series
Description: Testing for and dating periods of explosive
dynamics (exuberance) in time series using the univariate and panel
recursive unit root tests proposed by Phillips et al. (2015)
<doi:10.1111/iere.12132> and Pavlidis et al. (2016)
<doi:10.1007/s11146-015-9531-2>.The recursive least-squares
algorithm utilizes the matrix inversion lemma to avoid matrix
inversion which results in significant speed improvements. Simulation
of a variety of periodically-collapsing bubble processes. Details can be
found in Vasilopoulos et al. (2022) <doi:10.18637/jss.v103.i10>.
Author: Kostas Vasilopoulos [cre, aut],
Efthymios Pavlidis [aut],
Enrique Martinez-Garcia [aut],
Simon Spavound [aut]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>
Diff between exuber versions 1.0.2 dated 2023-03-22 and 1.1.0 dated 2025-08-31
DESCRIPTION | 19 +- MD5 | 70 +++++----- NAMESPACE | 25 +++ NEWS.md | 327 ++++++++++++++++++++++++----------------------- R/deprecate.R | 10 - R/distr-pvalues.R | 22 +-- R/doc-data.R | 12 - R/index.R | 11 - R/parse_data.R | 13 + R/radf-autoplot.R | 126 +++++++++--------- R/radf-methods.R | 94 ++++++------- R/radf-tidiers.R | 95 +++++-------- R/radf_.R | 30 ++-- R/reexports.R | 18 +- R/reg-helper.R | 15 +- R/series_names.R | 3 R/unroot.R | 16 +- R/utils.R | 67 +++++---- README.md | 45 +++--- build/partial.rdb |binary build/vignette.rds |binary inst/WORDLIST | 1 inst/doc/exuber.html | 176 ++++++++++++------------- inst/doc/plotting.html | 168 ++++++++++++------------ inst/doc/simulation.html | 48 +++--- man/autoplot.ds_radf.Rd | 6 man/autoplot.radf_obj.Rd | 8 - man/calc_pvalue.Rd | 3 man/exuber.Rd | 3 man/figures/usage-1.png |binary man/psy_minw.Rd | 3 man/radf_crit.Rd | 10 - man/reexports.Rd | 18 +- man/summary.radf_obj.Rd | 9 - man/tidy.radf_cv.Rd | 1 vignettes/tidy | 2 36 files changed, 749 insertions(+), 725 deletions(-)
Title: Geometrically Inspired Multivariate Changepoint Detection
Description: Implements the high-dimensional changepoint detection method GeomCP and the related mappings used for changepoint detection. These methods view the changepoint problem from a geometrical viewpoint and aim to extract relevant geometrical features in order to detect changepoints. The geomcp() function should be your first point of call. References: Grundy et al. (2020) <doi:10.1007/s11222-020-09940-y>.
Author: Thomas Grundy [aut],
Rebecca Killick [cre, ths]
Maintainer: Rebecca Killick <r.killick@lancaster.ac.uk>
Diff between changepoint.geo versions 1.0.2 dated 2023-09-23 and 1.0.3 dated 2025-08-31
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NEWS | 4 ++++ build/partial.rdb |binary man/cpt.geo-class.Rd | 2 +- man/data.set.Rd | 2 +- man/data.set_-.Rd | 2 +- man/pen.value.Rd | 2 +- man/pen.value_-.Rd | 2 +- man/test.stat.Rd | 2 +- man/test.stat_-.Rd | 2 +- 11 files changed, 25 insertions(+), 21 deletions(-)
More information about changepoint.geo at CRAN
Permanent link
Title: Signal Component Analysis for Optically Stimulated Luminescence
Description: Function library for the identification and separation of exponentially
decaying signal components in continuous-wave optically stimulated luminescence measurements.
A special emphasis is laid on luminescence dating with quartz, which is known for
systematic errors due to signal components with unequal physical behaviour.
Also, this package enables an easy to use signal decomposition of
data sets imported and analysed with the R package 'Luminescence'.
This includes the optional automatic creation of HTML reports. Further information and tutorials
can be found at <https://luminescence.de>.
Author: Dirk Mittelstrass [aut, cre] ,
Sebastian Kreutzer [aut] ,
Christoph Schmidt [aut] ,
Jan Beyer [ths] ,
Johannes Heitmann [ths],
Arno Straessner [ths]
Maintainer: Dirk Mittelstrass <dirk.mittelstrass@luminescence.de>
Diff between OSLdecomposition versions 1.0.0 dated 2022-08-12 and 1.1.0 dated 2025-08-31
DESCRIPTION | 29 +- MD5 | 50 ++-- NAMESPACE | 25 +- NEWS.md | 21 -- R/OSLdecomposition-package.R | 3 R/RLum.OSL_correction.R | 54 +++-- R/RLum.OSL_decomposition.R | 65 +++--- R/RLum.OSL_global_fitting.R | 46 ++-- R/decompose_OSLcurve.R | 37 ++- R/fit_OSLcurve.R | 10 R/optimise_OSLintervals.R | 6 R/plot_MultiExponential.R |only R/plot_OSLcurve.R | 415 ++++++++++++++++------------------------ R/plot_PhotoCrosssections.R | 8 R/sum_OSLcurves.R | 12 - README.md | 5 man/OSLdecomposition-package.Rd | 24 ++ man/RLum.OSL_correction.Rd | 17 - man/RLum.OSL_decomposition.Rd | 33 +-- man/RLum.OSL_global_fitting.Rd | 23 +- man/decompose_OSLcurve.Rd | 23 +- man/fit_OSLcurve.Rd | 9 man/optimise_OSLintervals.Rd | 5 man/plot_MultiExponential.Rd |only man/plot_OSLcurve.Rd | 42 ++-- man/plot_PhotoCrosssections.Rd | 7 man/sum_OSLcurves.Rd | 10 27 files changed, 492 insertions(+), 487 deletions(-)
More information about OSLdecomposition at CRAN
Permanent link
Title: Multivariate GARCH Models
Description: Feasible multivariate GARCH models including DCC, GO-GARCH and Copula-GARCH.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>
Diff between rmgarch versions 1.3-9 dated 2022-02-04 and 1.4-2 dated 2025-08-31
rmgarch-1.3-9/rmgarch/README.md |only rmgarch-1.3-9/rmgarch/TODO |only rmgarch-1.3-9/rmgarch/inst/COPYRIGHTS |only rmgarch-1.4-2/rmgarch/ChangeLog | 22 rmgarch-1.4-2/rmgarch/DESCRIPTION | 14 rmgarch-1.4-2/rmgarch/MD5 | 95 rmgarch-1.4-2/rmgarch/R/copula-main.R | 4746 +++++++++--------- rmgarch-1.4-2/rmgarch/R/copula-methods.R | 4 rmgarch-1.4-2/rmgarch/R/gogarch-methods.R | 13 rmgarch-1.4-2/rmgarch/R/rdcc-methods.R | 50 rmgarch-1.4-2/rmgarch/R/rmgarch-ica.R | 6 rmgarch-1.4-2/rmgarch/R/rmgarch-scenario.R | 1859 +++---- rmgarch-1.4-2/rmgarch/build/vignette.rds |binary rmgarch-1.4-2/rmgarch/inst/CITATION | 37 rmgarch-1.4-2/rmgarch/inst/doc/The_rmgarch_models.pdf |binary rmgarch-1.4-2/rmgarch/man/DCCfilter-class.Rd | 6 rmgarch-1.4-2/rmgarch/man/DCCfit-class.Rd | 8 rmgarch-1.4-2/rmgarch/man/DCCforecast-class.Rd | 15 rmgarch-1.4-2/rmgarch/man/DCCroll-class.Rd | 10 rmgarch-1.4-2/rmgarch/man/DCCsim-class.Rd | 9 rmgarch-1.4-2/rmgarch/man/DCCspec-class.Rd | 96 rmgarch-1.4-2/rmgarch/man/cGARCHfilter-class.Rd | 134 rmgarch-1.4-2/rmgarch/man/cGARCHfit-class.Rd | 8 rmgarch-1.4-2/rmgarch/man/cGARCHsim-class.Rd | 10 rmgarch-1.4-2/rmgarch/man/cGARCHspec-class.Rd | 82 rmgarch-1.4-2/rmgarch/man/cgarchfit-methods.Rd | 152 rmgarch-1.4-2/rmgarch/man/cgarchsim-methods.Rd | 166 rmgarch-1.4-2/rmgarch/man/cgarchspec-methods.Rd | 138 rmgarch-1.4-2/rmgarch/man/dccfit-methods.Rd | 147 rmgarch-1.4-2/rmgarch/man/dccsim-methods.Rd | 164 rmgarch-1.4-2/rmgarch/man/dccspec-methods.Rd | 160 rmgarch-1.4-2/rmgarch/man/fMoments-class.Rd | 80 rmgarch-1.4-2/rmgarch/man/fScenario-class.Rd | 74 rmgarch-1.4-2/rmgarch/man/fastica.Rd | 298 - rmgarch-1.4-2/rmgarch/man/goGARCHfft-class.Rd | 143 rmgarch-1.4-2/rmgarch/man/goGARCHfilter-class.Rd | 8 rmgarch-1.4-2/rmgarch/man/goGARCHfit-class.Rd | 14 rmgarch-1.4-2/rmgarch/man/goGARCHforecast-class.Rd | 10 rmgarch-1.4-2/rmgarch/man/goGARCHroll-class.Rd | 28 rmgarch-1.4-2/rmgarch/man/goGARCHsim-class.Rd | 8 rmgarch-1.4-2/rmgarch/man/goGARCHspec-class.Rd | 88 rmgarch-1.4-2/rmgarch/man/mGARCHfilter-class.Rd | 34 rmgarch-1.4-2/rmgarch/man/mGARCHfit-class.Rd | 31 rmgarch-1.4-2/rmgarch/man/mGARCHforecast-class.Rd | 31 rmgarch-1.4-2/rmgarch/man/mGARCHroll-class.Rd | 31 rmgarch-1.4-2/rmgarch/man/mGARCHsim-class.Rd | 31 rmgarch-1.4-2/rmgarch/man/mGARCHspec-class.Rd | 31 rmgarch-1.4-2/rmgarch/man/radical.Rd | 236 rmgarch-1.4-2/rmgarch/man/rmgarch-package.Rd | 23 rmgarch-1.4-2/rmgarch/vignettes/rmgarch1.tex | 22 50 files changed, 4690 insertions(+), 4682 deletions(-)
Title: Client for the Ifo Institute Time Series
Description: Download ifo business survey data and more time series from
ifo institute <https://www.ifo.de/en/ifo-time-series>.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Diff between ifo versions 0.2.1 dated 2025-06-07 and 0.2.2 dated 2025-08-31
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NEWS.md | 4 ++++ R/assertions.R | 2 +- R/ifo-package.R | 8 -------- R/ifo.R | 36 ++++++++++++++++++------------------ README.md | 4 +++- man/figures/README-plotting-1.png |binary man/ifo_business.Rd | 10 +++++++--- man/ifo_climate.Rd | 5 ++++- man/ifo_expectation.Rd | 5 ++++- 11 files changed, 55 insertions(+), 47 deletions(-)
Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix
objects from polygon 'contiguities', from point patterns by distance and
tessellations, for summarizing these objects, and for permitting their
use in spatial data analysis, including regional aggregation by minimum
spanning tree; a collection of tests for spatial 'autocorrelation',
including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord'
(1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel'
general cross product statistic, Empirical Bayes estimates and
'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992)
<doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured
join count statistics, 'APLE' ('Li et al.' )
<doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C'
('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and
'Getis/Ord' G ('Ord' and 'Getis' 1995)
<d [...truncated...]
Author: Roger Bivand [cre, aut] ,
Micah Altman [ctb],
Luc Anselin [ctb],
Renato Assuncao [ctb],
Anil Bera [ctb],
Olaf Berke [ctb],
F. Guillaume Blanchet [ctb],
Marilia Carvalho [ctb],
Bjarke Christensen [ctb],
Yongwan Chun [ctb],
Carsten Dormann [ctb],
Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between spdep versions 1.3-13 dated 2025-06-10 and 1.4-1 dated 2025-08-31
DESCRIPTION | 16 ++++++------- MD5 | 41 +++++++++++++++++----------------- NEWS.md | 6 ++++ R/SD.RStests.R | 10 ++------ R/jc.R | 3 ++ R/licd_boots.R | 1 R/local-joincount-univariate.R | 1 build/partial.rdb |binary build/vignette.rds |binary inst/doc/CO69.html | 6 ++-- inst/doc/nb_sf.html | 30 ++++++++++++------------ inst/doc/sids.html | 4 +-- inst/doc/subgraphs.html | 6 ++-- inst/tinytest/test_Durbin_factor.R | 14 +++++------ inst/tinytest/test_factor_joincount.R |only man/SD.RStests.Rd | 7 +++-- man/joincount.mc.Rd | 2 - man/joincount.multi.Rd | 2 - man/joincount.test.Rd | 2 - man/licd_multi.Rd | 2 - man/local_joincount_uni.Rd | 4 +-- man/spatialdelta.Rd | 2 - 22 files changed, 83 insertions(+), 76 deletions(-)
Title: Knock Errors Off Nice Guesses
Description: Miscellaneous functions and data used in psychological research and teaching. Keng
currently has a built-in dataset depress, and could (1) scale a vector; (2) compute the cut-off
values of Pearson's r with known sample size; (3) test the significance and compute the post-hoc
power for Pearson's r with known sample size; (4) conduct a priori power analysis and plan the
sample size for Pearson's r; (5) compare lm()'s fitted outputs using R-squared, f_squared,
post-hoc power, and PRE (Proportional Reduction in Error, also called partial R-squared or
partial Eta-squared); (6) calculate PRE from partial correlation, Cohen's f, or f_squared;
(7) conduct a priori power analysis and plan the sample size for one or a set of predictors in
regression analysis; (8) conduct post-hoc power analysis for one or a set of predictors in
regression analysis with known sample size; (9) randomly pick numbers for Chinese Super Lotto
and Double Color Balls; (10) assess course objective achievement in Outcome- [...truncated...]
Author: Qingyao Zhang [aut, cre]
Maintainer: Qingyao Zhang <qingyaozhang@outlook.com>
Diff between Keng versions 2025.8.16 dated 2025-08-19 and 2025.9.1 dated 2025-08-31
Keng-2025.8.16/Keng/inst/doc/PartialRegression.R |only Keng-2025.8.16/Keng/inst/doc/PartialRegression.Rmd |only Keng-2025.8.16/Keng/inst/doc/PartialRegression.html |only Keng-2025.8.16/Keng/inst/doc/PlanSampleSize.R |only Keng-2025.8.16/Keng/inst/doc/PlanSampleSize.Rmd |only Keng-2025.8.16/Keng/inst/doc/PlanSampleSize.html |only Keng-2025.8.16/Keng/vignettes/PartialRegression.Rmd |only Keng-2025.8.16/Keng/vignettes/PlanSampleSize.Rmd |only Keng-2025.9.1/Keng/DESCRIPTION | 11 - Keng-2025.9.1/Keng/MD5 | 45 ++--- Keng-2025.9.1/Keng/NAMESPACE | 1 Keng-2025.9.1/Keng/NEWS.md | 5 Keng-2025.9.1/Keng/R/assess_coa.R |only Keng-2025.9.1/Keng/R/pick_dcb.R | 12 - Keng-2025.9.1/Keng/R/pick_sl.R | 45 ++++- Keng-2025.9.1/Keng/README.md | 180 ++++++++++---------- Keng-2025.9.1/Keng/build/vignette.rds |binary Keng-2025.9.1/Keng/inst/doc/assessCOA.R |only Keng-2025.9.1/Keng/inst/doc/assessCOA.Rmd |only Keng-2025.9.1/Keng/inst/doc/assessCOA.html |only Keng-2025.9.1/Keng/inst/doc/commonSampleSizes.Rmd | 2 Keng-2025.9.1/Keng/inst/doc/commonSampleSizes.html | 2 Keng-2025.9.1/Keng/inst/doc/partialRegression.R |only Keng-2025.9.1/Keng/inst/doc/partialRegression.Rmd |only Keng-2025.9.1/Keng/inst/doc/partialRegression.html |only Keng-2025.9.1/Keng/inst/doc/planSampleSize.R |only Keng-2025.9.1/Keng/inst/doc/planSampleSize.Rmd |only Keng-2025.9.1/Keng/inst/doc/planSampleSize.html |only Keng-2025.9.1/Keng/man/assess_coa.Rd |only Keng-2025.9.1/Keng/man/pick_sl.Rd | 26 ++ Keng-2025.9.1/Keng/tests/testthat/test-assess_coa.R |only Keng-2025.9.1/Keng/vignettes/assessCOA.Rmd |only Keng-2025.9.1/Keng/vignettes/commonSampleSizes.Rmd | 2 Keng-2025.9.1/Keng/vignettes/partialRegression.Rmd |only Keng-2025.9.1/Keng/vignettes/planSampleSize.Rmd |only 35 files changed, 206 insertions(+), 125 deletions(-)
Title: Tool for Unbiased Literature Searching and Gene List Curation
Description: Designed for genomic and proteomic data analysis, enabling unbiased PubMed searching, protein interaction network visualization, and comprehensive data summarization. This package aims to help users identify novel targets within their data sets based on protein network interactions and publication precedence of target's association with research context based on literature precedence. Methods in this package are described in detail in: Douglas (Year) <to-be-added DOI or link to the preprint>. Key functionalities of this package also leverage methodologies from previous works, such as:
- Szklarczyk et al. (2023) <doi:10.1093/nar/gkac1000>
- Winter (2017) <doi:10.32614/RJ-2017-066>.
Author: Cameron Douglas [aut, cre]
Maintainer: Cameron Douglas <camerondouglas@ufl.edu>
Diff between DeSciDe versions 1.0.1 dated 2025-06-20 and 1.0.2 dated 2025-08-31
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- inst/doc/DeSciDe-vignette.Rmd | 8 +++++++- inst/doc/DeSciDe-vignette.html | 39 ++++++++++++++++++++++++++++++--------- vignettes/DeSciDe-vignette.Rmd | 8 +++++++- 5 files changed, 51 insertions(+), 18 deletions(-)
Title: Functions and Data Supporting 'Linear Mixed-Effects Models: A
Step-by-Step Approach'
Description: Provides functions and datasets to support the book
by Galecki and Burzykowski (2013),
'Linear Mixed-Effects Models: A Step-by-Step Approach',
Springer. Includes functions for power calculations,
log-likelihood contributions, and data simulation
for linear mixed-effects models.
Author: Andrzej T. Galecki [aut, cre] ,
Tomasz Burzykowski [aut]
Maintainer: Andrzej T. Galecki <agalecki@umich.edu>
Diff between nlmeU versions 0.71.6 dated 2025-08-25 and 0.71.7 dated 2025-08-31
DESCRIPTION | 14 +++++++------- MD5 | 4 ++-- man/nlmeU-package.Rd | 2 +- 3 files changed, 10 insertions(+), 10 deletions(-)
Title: Add Smoothing Spline Modelling Capability to `nlme`
Description: Adds smoothing spline modelling capability to nlme. Fits
smoothing spline terms in Gaussian linear and nonlinear
mixed-effects models.
Author: Rod Ball [aut],
Andrzej T. Galecki [cre]
Maintainer: Andrzej T. Galecki <agalecki@umich.edu>
Diff between lmeSplines versions 1.1.15 dated 2025-08-25 and 1.1.20 dated 2025-08-31
DESCRIPTION | 17 +++++++++-------- MD5 | 2 +- 2 files changed, 10 insertions(+), 9 deletions(-)
Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] ,
Evan Sergeant [aut],
Cord Heuer [ctb],
Telmo Nunes [ctb],
Cord Heuer [ctb],
Jonathon Marshall [ctb],
Javier Sanchez [ctb],
Ron Thornton [ctb],
Jeno Reiczigel [ctb],
Jim Robison-Cox [ctb],
Paola Sebastiani [ctb],
Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>
Diff between epiR versions 2.0.85 dated 2025-07-24 and 2.0.86 dated 2025-08-31
DESCRIPTION | 8 +- MD5 | 71 ++++++++++++------------ NEWS | 13 ++++ R/epi.2by2.R | 84 +++++++++++++++++++++-------- R/epi.kappa.R | 4 - R/zARscore.R | 3 - R/zARwald.R | 3 - R/zMHRD.Sato0.R | 3 - R/zORcfield.R | 3 - R/zORml.R | 3 - R/zORscore.R | 3 - R/zORwald.R | 4 - R/zRRkoopman.R |only R/zRRscore.R | 3 - R/zRRtaylor.R | 3 - R/zRRwald.R | 3 - R/zagresti.R | 2 R/zclopperpearson.R | 2 R/zexact.R | 2 R/zfleiss.R | 2 R/zincrate.R | 2 R/zincrisk.R | 2 R/zjeffreys.R | 2 R/zn.binom.R | 4 + R/zn.hypergeo.R | 4 + R/zwilson.R | 2 inst/doc/epiR_descriptive.html | 16 ++--- inst/doc/epiR_measures_of_association.html | 27 ++++----- inst/doc/epiR_sample_size.html | 4 - inst/doc/epiR_surveillance.R | 11 ++- inst/doc/epiR_surveillance.Rmd | 21 ++++--- inst/doc/epiR_surveillance.html | 65 ++++++++++++---------- man/epi.2by2.Rd | 8 +- man/epi.kappa.Rd | 19 +++++- man/epi.tests.Rd | 15 ++++- vignettes/epiR_surveillance.Rmd | 21 ++++--- vignettes/epiR_surveillance.bib | 2 37 files changed, 277 insertions(+), 167 deletions(-)
Title: Tune Random Forest of the 'ranger' Package
Description: Tuning random forest with one line. The package is mainly based on the packages 'ranger' and 'mlrMBO'.
Author: Philipp Probst [aut, cre],
Simon Klau [ctb]
Maintainer: Philipp Probst <philipp_probst@gmx.de>
Diff between tuneRanger versions 0.7 dated 2024-03-20 and 0.8.1 dated 2025-08-31
tuneRanger-0.7/tuneRanger/README.md |only tuneRanger-0.8.1/tuneRanger/DESCRIPTION | 6 +++--- tuneRanger-0.8.1/tuneRanger/MD5 | 5 ++--- tuneRanger-0.8.1/tuneRanger/tests/testthat/test_base.R | 8 ++++---- 4 files changed, 9 insertions(+), 10 deletions(-)
Title: Tools for Summarising and Analysing Soundscape Data
Description: A variety of tools relevant to the analysis
of marine soundscape data. There are tools for downloading AIS (automatic identification system)
data from Marine Cadastre <https://hub.marinecadastre.gov>,
connecting AIS data to GPS coordinates, plotting summaries of various soundscape
measurements, and downloading relevant environmental variables (wind, swell height) from the
National Center for Atmospheric Research data server <https://rda.ucar.edu/datasets/ds084.1/>.
Most tools were developed to work well with output from 'Triton' software, but can be adapted
to work with any similar measurements.
Author: Taiki Sakai [aut, cre],
Anne Simonis [ctb],
Shannon Rankin [ctb],
Megan McKenna [ctb],
Kaitlin Palmer [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>
Diff between PAMscapes versions 0.14.0 dated 2025-06-11 and 0.14.5 dated 2025-08-31
DESCRIPTION | 6 +- MD5 | 34 +++++------ NEWS.md | 28 +++++++++ R/addAIS.R | 17 ----- R/binSoundscapeData.R | 9 ++- R/createOctaveLevel.R | 2 R/evaluateDeployment.R | 44 ++++++++++++--- R/evaluateRecordings.R | 53 +++++++++++++++++- R/loadDetectionData.R | 2 R/matchDetectionData.R | 2 R/matchGFS.R | 4 - R/plotPSD.R | 10 +++ R/plotQAQC.R | 2 R/runSoundscapeExplorer.R | 134 ++++++++++++++++++++++++++++++---------------- man/createOctaveLevel.Rd | 2 man/evaluateDeployment.Rd | 5 + man/evaluateRecordings.Rd | 5 + man/matchGFS.Rd | 114 +++++++++++++++++++-------------------- 18 files changed, 313 insertions(+), 160 deletions(-)
Title: Utilities and Kinship Information for Research with the NLSY
Description: Utilities and kinship information for behavior genetics and
developmental research using the National Longitudinal Survey of Youth
(NLSY; <https://www.nlsinfo.org/>).
Author: William Howard Beasley [aut] ,
Joseph Lee Rodgers [aut] ,
David Bard [aut],
Michael D. Hunter [aut] ,
Patrick O'Keefe [aut] ,
Kelly Meredith Williams [aut],
S. Mason Garrison [aut, cre]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>
Diff between NlsyLinks versions 2.2.2 dated 2024-10-10 and 2.2.3 dated 2025-08-31
DESCRIPTION | 38 - MD5 | 68 +- NEWS.md | 414 +++++++++++------- R/NlsyLinks-package.R | 12 R/create-pair-links-double-entered-with-no-outcomes.R | 12 R/create-pair-links-double-entered.R | 51 +- R/create-pair-links-single-entered.R | 19 R/defries-fulker.R | 21 R/nlsy-links.R | 4 R/read-csv-nlsy-79.R | 74 +-- README.md | 18 build/vignette.rds |binary inst/doc/about.Rmd | 15 inst/doc/about.html | 32 - inst/doc/collaborators.Rmd | 8 inst/doc/collaborators.html | 10 inst/doc/faq.R | 29 - inst/doc/faq.Rmd | 34 + inst/doc/faq.html | 223 +++++---- inst/doc/nls-investigator.Rmd | 6 inst/doc/nls-investigator.html | 21 inst/doc/nlsy-ace.R | 3 inst/doc/nlsy-ace.Rmd | 11 inst/doc/nlsy-ace.html | 309 +++++++++---- inst/doc/publications.Rmd | 15 inst/doc/publications.html | 36 + man/Ace.Rd | 6 man/CreatePairLinks.Rd | 39 + man/NlsyLinks-package.Rd | 16 vignettes/about.Rmd | 15 vignettes/collaborators.Rmd | 8 vignettes/faq.Rmd | 34 + vignettes/nls-investigator.Rmd | 6 vignettes/nlsy-ace.Rmd | 11 vignettes/publications.Rmd | 15 35 files changed, 1010 insertions(+), 623 deletions(-)
Title: Toolkit for Analysis of Genomic Data
Description: A toolkit for analysis of genomic data. The 'misha' package
implements an efficient data structure for storing genomic data, and
provides a set of functions for data extraction, manipulation and
analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay
(2011) <doi:10.1038/ng.947>.
Author: Misha Hoichman [aut],
Aviezer Lifshitz [aut, cre],
Eitan Yaffe [aut],
Amos Tanay [aut],
Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Diff between misha versions 4.3.11 dated 2025-08-25 and 4.3.12 dated 2025-08-31
DESCRIPTION | 6 MD5 | 30 + NAMESPACE | 2 NEWS.md | 5 R/intervals.R | 463 ++++++++++++++++++++++++++++- build/vignette.rds |binary inst/doc/Genomes.html | 2 inst/doc/Manual.html | 2 man/gintervals.annotate.Rd |only man/gintervals.mapply.Rd | 2 man/gintervals.normalize.Rd |only src/GenomeIntervalUtils.cpp | 61 +++ src/TrackExpressionScanner.h | 10 src/misha-init.cpp | 2 src/rdbutils.cpp | 2 tests/testthat/helper-regression.R | 4 tests/testthat/test-gintervals.annotate.R |only tests/testthat/test-gintervals.normalize.R |only 18 files changed, 566 insertions(+), 25 deletions(-)
Title: Input-Output Analysis
Description: An implementation of the Input-Output model developed by
Wassily Leontief that represents the interdependencies between different
sectors of a national economy or different regional economies.
Author: Mauricio Vargas [aut, cre] ,
Victor Falkenheim [ths],
Central Bank of Chile [dtc],
University of Bio-Bio [dtc]
Maintainer: Mauricio Vargas <m.vargas.sepulveda@gmail.com>
Diff between leontief versions 0.3 dated 2024-06-11 and 0.4 dated 2025-08-31
leontief-0.3/leontief/LICENSE |only leontief-0.4/leontief/DESCRIPTION | 25 - leontief-0.4/leontief/MD5 | 22 - leontief-0.4/leontief/NAMESPACE | 1 leontief-0.4/leontief/NEWS.md |only leontief-0.4/leontief/R/cpp11.R |only leontief-0.4/leontief/R/leontief-matrices.R | 172 +---------- leontief-0.4/leontief/R/leontief-package.R | 4 leontief-0.4/leontief/README.md | 6 leontief-0.4/leontief/build/vignette.rds |binary leontief-0.4/leontief/inst/doc/leontief.html | 406 +++++++++++++------------- leontief-0.4/leontief/man/leontief-package.Rd |only leontief-0.4/leontief/src |only 13 files changed, 267 insertions(+), 369 deletions(-)
Title: Efficient Implementation of Kendall's Correlation Coefficient
Computation
Description: The computational complexity of the implemented algorithm for
Kendall's correlation is O(n log(n)), which is faster than the base R
implementation with a computational complexity of O(n^2). For small vectors
(i.e., less than 100 observations), the time difference is negligible.
However, for larger vectors, the speed difference can be substantial and the
numerical difference is minimal. The references are
Knight (1966) <doi:10.2307/2282833>,
Abrevaya (1999) <doi:10.1016/S0165-1765(98)00255-9>,
Christensen (2005) <doi:10.1007/BF02736122> and
Emara (2024) <https://learningcpp.org/>.
This implementation is described in
Vargas Sepulveda (2025) <doi:10.1371/journal.pone.0326090>.
Author: Mauricio Vargas Sepulveda [aut, cre] ,
Loader Catherine [ctb] ),
Ross Ihaka [ctb] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Diff between kendallknight versions 0.7.0 dated 2025-05-16 and 1.0.0 dated 2025-08-31
DESCRIPTION | 20 - MD5 | 20 - NEWS.md | 4 build/partial.rdb |binary build/vignette.rds |binary inst/doc/usage.R | 28 -- inst/doc/usage.Rmd | 193 +++++++++++++---- inst/doc/usage.html | 486 ++++++++++++++++++++++++++++++------------- inst/references.bib | 13 + man/kendallknight-package.Rd | 3 vignettes/usage.Rmd | 193 +++++++++++++---- 11 files changed, 685 insertions(+), 275 deletions(-)
Title: Block Assignment Files
Description: Download and read US Census Bureau data relationship files. Provides
support for cleaning and using block assignment files since 2010, as described in
<https://www.census.gov/geographies/reference-files/time-series/geo/block-assignment-files.html>.
Also includes support for working with block equivalency files, used for years
outside of decennial census years.
Author: Christopher T. Kenny [aut, cre] ,
Cory McCartan [ctb]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Diff between baf versions 0.0.1 dated 2024-06-04 and 0.0.3 dated 2025-08-31
DESCRIPTION | 22 +-- LICENSE | 4 MD5 | 26 ++- NEWS.md |only R/baf.R | 318 +++++++++++++++++++++++------------------------ R/baf_download.R | 104 +++++++-------- R/clean.R | 3 R/data.R |only R/links.R | 11 + data |only man/baf-package.Rd | 58 ++++---- man/baf.Rd | 68 +++++----- man/baf_download.Rd | 56 ++++---- man/baf_download_path.Rd | 34 ++--- man/clean_bafs.Rd | 3 man/example_baf.Rd |only 16 files changed, 361 insertions(+), 346 deletions(-)
Title: Use 'nlmixr2' to Interact with Open Source and Commercial
Software
Description: Run other estimation and simulation software via the 'nlmixr2' (Fidler et al (2019)
<doi:10.1002/psp4.12445>) interface including 'PKNCA', 'NONMEM' and 'Monolix'. While not required, you can
get/install the 'lixoftConnectors' package in the 'Monolix' installation, as
described at the following url
<https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When
'lixoftConnectors' is available, 'Monolix' can be run directly instead of setting up
command line usage.
Author: Matthew Fidler [aut, cre] ,
Bill Denney [aut] ,
Theodoros Papathanasiou [ctb],
Nook Fulloption [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Diff between babelmixr2 versions 0.1.8 dated 2025-07-15 and 0.1.9 dated 2025-08-31
DESCRIPTION | 12 +++--- MD5 | 62 +++++++++++++++++++--------------- NAMESPACE | 4 ++ NEWS.md | 13 +++++++ R/as.nlmixr2nonmem2rx.R | 6 +++ R/fmeMcmc.R |only R/monolixReadData.R | 11 ++++-- R/monolixRxUiGet.R | 13 +++++++ R/monolixRxUiGetJacobian.R | 1 R/monolixRxUiGetMlxtranCovariate.R | 1 R/monolixRxUiGetMlxtranFit.R | 1 R/monolixRxUiGetMlxtranIndividual.R | 3 + R/monolixRxUiGetMlxtranLongitudinal.R | 7 ++- R/monolixRxUiGetMlxtranParameters.R | 2 + R/monolixRxUiGetMonolixModel.R | 1 R/nonmemReadData.R | 19 +++++++++- R/nonmemRxUiGet.R | 15 ++++++++ R/nonmemRxUiGetCcontra.R | 3 + R/nonmemRxUiGetCov.R | 1 R/nonmemRxUiGetErr.R | 1 R/nonmemRxUiGetEst.R | 1 R/nonmemRxUiGetModel.R | 2 + R/nonmemRxUiGetOmega.R | 1 R/nonmemRxUiGetPk.R | 2 + R/nonmemRxUiGetSub.R | 1 R/nonmemRxUiGetTable.R | 1 R/nonmemRxUiGetTheta.R | 1 R/poped.R | 22 +++++++++++- R/pseudoOptim.R |only R/zzz.R | 15 ++++++++ man/dot-fmeMcmcF.Rd |only man/dot-pseudoOptimF.Rd |only man/fmeMcmcControl.Rd |only man/pseudoOptimControl.Rd |only tests/testthat/test-fmeMcmc.R |only tests/testthat/test-psuedoOptim.R |only 36 files changed, 180 insertions(+), 42 deletions(-)
Title: Statistical Framework to Define Subgroups in Complex Datasets
Description: High-dimensional datasets that do not exhibit a clear intrinsic clustered structure pose a challenge to conventional clustering algorithms. For this reason, we developed an unsupervised framework that helps scientists to better subgroup their datasets based on visual cues, please see Gao S, Mutter S, Casey A, Makinen V-P (2019) Numero: a statistical framework to define multivariable subgroups in complex population-based datasets, Int J Epidemiology, 48:369-37, <doi:10.1093/ije/dyy113>. The framework includes the necessary functions to construct a self-organizing map of the data, to evaluate the statistical significance of the observed data patterns, and to visualize the results.
Author: Song Gao [aut],
Stefan Mutter [aut],
Aaron E. Casey [aut],
Ville-Petteri Makinen [aut, cre]
Maintainer: Ville-Petteri Makinen <vpmakine@gmail.com>
Diff between Numero versions 1.9.8 dated 2024-09-17 and 1.9.10 dated 2025-08-31
DESCRIPTION | 10 ++-- MD5 | 34 ++++++++-------- R/nroMatch.R | 7 ++- R/nroPreprocess.R | 57 ++++++++++++++++----------- R/nroTrain.R | 3 - R/numero.create.R | 16 ++++++- R/numero.quality.R | 4 - inst/doc/intro.R | 2 inst/doc/intro.html | 103 +++++++++++++++++++++++++------------------------- inst/doc/intro.rmd | 11 ++++- man/nroMatch.Rd | 7 ++- man/nroPreprocess.Rd | 5 -- man/numero.create.Rd | 7 ++- man/numero.quality.Rd | 8 +++ src/Numero_init.c | 4 - src/nro.h | 1 src/nro_match.cpp | 88 ++++++++++++++++++++++++++++++++++-------- vignettes/intro.rmd | 11 ++++- 18 files changed, 246 insertions(+), 132 deletions(-)
Title: Spatial Empirical Dynamic Modeling
Description: Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Diff between spEDM versions 1.7 dated 2025-06-24 and 1.8 dated 2025-08-31
spEDM-1.7/spEDM/man/figures/logo.png |only spEDM-1.7/spEDM/man/figures/pkgintro |only spEDM-1.7/spEDM/man/figures/slm/spatial_logistic_map-1.png |only spEDM-1.8/spEDM/DESCRIPTION | 6 spEDM-1.8/spEDM/MD5 | 210 spEDM-1.8/spEDM/NEWS.md | 27 spEDM-1.8/spEDM/R/RcppExports.R | 146 spEDM-1.8/spEDM/R/embedded.R | 77 spEDM-1.8/spEDM/R/fnn.R | 15 spEDM-1.8/spEDM/R/formatoutput.R | 364 spEDM-1.8/spEDM/R/gccm.R | 21 spEDM-1.8/spEDM/R/gcmc.R | 210 spEDM-1.8/spEDM/R/globals.R | 7 spEDM-1.8/spEDM/R/ic.R | 102 spEDM-1.8/spEDM/R/internal_utility.R | 10 spEDM-1.8/spEDM/R/multiview.R | 98 spEDM-1.8/spEDM/R/sctest.R | 122 spEDM-1.8/spEDM/R/simplex.R | 20 spEDM-1.8/spEDM/R/slm.R | 9 spEDM-1.8/spEDM/R/smap.R | 108 spEDM-1.8/spEDM/R/zzz.R | 8 spEDM-1.8/spEDM/README.md | 15 spEDM-1.8/spEDM/inst/CITATION | 20 spEDM-1.8/spEDM/inst/case/popd.csv | 5614 ++++++------- spEDM-1.8/spEDM/inst/doc/GCCM.Rmd | 48 spEDM-1.8/spEDM/inst/doc/GCCM.html | 67 spEDM-1.8/spEDM/inst/doc/GCMC.Rmd | 122 spEDM-1.8/spEDM/inst/doc/GCMC.html | 224 spEDM-1.8/spEDM/inst/doc/PkgIntro.Rmd | 57 spEDM-1.8/spEDM/inst/doc/PkgIntro.html | 71 spEDM-1.8/spEDM/inst/doc/SCT.Rmd | 6 spEDM-1.8/spEDM/inst/doc/SCT.html | 8 spEDM-1.8/spEDM/inst/doc/SLM.Rmd | 68 spEDM-1.8/spEDM/inst/doc/SLM.html | 100 spEDM-1.8/spEDM/inst/doc/SSR.Rmd | 10 spEDM-1.8/spEDM/inst/doc/SSR.html | 12 spEDM-1.8/spEDM/man/embedded.Rd | 6 spEDM-1.8/spEDM/man/figures/gccm/fig1-1.png |binary spEDM-1.8/spEDM/man/figures/gccm/fig2-1.png |binary spEDM-1.8/spEDM/man/figures/gcmc/fig1-1.png |binary spEDM-1.8/spEDM/man/figures/gcmc/fig2-1.png |binary spEDM-1.8/spEDM/man/figures/slm/slm1-1.png |only spEDM-1.8/spEDM/man/figures/slm/slm2-1.png |only spEDM-1.8/spEDM/man/figures/spEDM.png |only spEDM-1.8/spEDM/man/fnn.Rd | 8 spEDM-1.8/spEDM/man/gccm.Rd | 12 spEDM-1.8/spEDM/man/gcmc.Rd | 10 spEDM-1.8/spEDM/man/ic.Rd | 174 spEDM-1.8/spEDM/man/multiview.Rd | 12 spEDM-1.8/spEDM/man/simplex.Rd | 16 spEDM-1.8/spEDM/man/slm.Rd | 206 spEDM-1.8/spEDM/man/smap.Rd | 12 spEDM-1.8/spEDM/src/CppDistances.cpp |only spEDM-1.8/spEDM/src/CppDistances.h |only spEDM-1.8/spEDM/src/CppGridUtils.cpp | 137 spEDM-1.8/spEDM/src/CppGridUtils.h | 18 spEDM-1.8/spEDM/src/CppLatticeUtils.cpp | 29 spEDM-1.8/spEDM/src/CppLatticeUtils.h | 19 spEDM-1.8/spEDM/src/CppStats.cpp | 555 - spEDM-1.8/spEDM/src/CppStats.h | 72 spEDM-1.8/spEDM/src/CrossMappingCardinality.cpp | 17 spEDM-1.8/spEDM/src/CrossMappingCardinality.h | 4 spEDM-1.8/spEDM/src/Entropy.cpp | 1 spEDM-1.8/spEDM/src/Entropy.h | 1 spEDM-1.8/spEDM/src/FalseNearestNeighbors.cpp | 278 spEDM-1.8/spEDM/src/FalseNearestNeighbors.h | 65 spEDM-1.8/spEDM/src/Forecast4Grid.cpp | 97 spEDM-1.8/spEDM/src/Forecast4Grid.h | 50 spEDM-1.8/spEDM/src/Forecast4Lattice.cpp | 99 spEDM-1.8/spEDM/src/Forecast4Lattice.h | 52 spEDM-1.8/spEDM/src/ForecastExp.cpp | 26 spEDM-1.8/spEDM/src/GCCM4Grid.cpp | 188 spEDM-1.8/spEDM/src/GCCM4Grid.h | 28 spEDM-1.8/spEDM/src/GCCM4Lattice.cpp | 94 spEDM-1.8/spEDM/src/GCCM4Lattice.h | 14 spEDM-1.8/spEDM/src/GridExp.cpp | 153 spEDM-1.8/spEDM/src/IntersectionCardinality.cpp | 43 spEDM-1.8/spEDM/src/IntersectionCardinality.h | 9 spEDM-1.8/spEDM/src/LatticeExp.cpp | 170 spEDM-1.8/spEDM/src/MultiViewEmbedding.cpp | 14 spEDM-1.8/spEDM/src/MultiViewEmbedding.h | 10 spEDM-1.8/spEDM/src/RcppExports.cpp | 328 spEDM-1.8/spEDM/src/SCPCM4Grid.cpp | 353 spEDM-1.8/spEDM/src/SCPCM4Grid.h | 50 spEDM-1.8/spEDM/src/SCPCM4Lattice.cpp | 206 spEDM-1.8/spEDM/src/SCPCM4Lattice.h | 36 spEDM-1.8/spEDM/src/SLM4Grid.cpp | 90 spEDM-1.8/spEDM/src/SLM4Grid.h | 22 spEDM-1.8/spEDM/src/SLM4Lattice.cpp | 106 spEDM-1.8/spEDM/src/SLM4Lattice.h | 22 spEDM-1.8/spEDM/src/SMap.cpp | 144 spEDM-1.8/spEDM/src/SMap.h | 55 spEDM-1.8/spEDM/src/SimplexProjection.cpp | 152 spEDM-1.8/spEDM/src/SimplexProjection.h | 49 spEDM-1.8/spEDM/src/StatsExp.cpp | 85 spEDM-1.8/spEDM/src/spEDMDataStruct.h | 1 spEDM-1.8/spEDM/vignettes/GCCM.Rmd | 48 spEDM-1.8/spEDM/vignettes/GCCM.Rmd.orig | 26 spEDM-1.8/spEDM/vignettes/GCMC.Rmd | 122 spEDM-1.8/spEDM/vignettes/GCMC.Rmd.orig | 64 spEDM-1.8/spEDM/vignettes/PkgIntro.Rmd | 57 spEDM-1.8/spEDM/vignettes/PkgIntro.Rmd.orig | 50 spEDM-1.8/spEDM/vignettes/SCPCM.Rmd.orig | 6 spEDM-1.8/spEDM/vignettes/SCT.Rmd | 6 spEDM-1.8/spEDM/vignettes/SCT.Rmd.orig | 6 spEDM-1.8/spEDM/vignettes/SLM.Rmd | 68 spEDM-1.8/spEDM/vignettes/SLM.Rmd.orig | 52 spEDM-1.8/spEDM/vignettes/SSR.Rmd | 10 spEDM-1.8/spEDM/vignettes/SSR.Rmd.orig | 8 109 files changed, 6997 insertions(+), 5926 deletions(-)
Title: Tools for Data Diagnosis, Exploration, Transformation
Description: A collection of tools that support data diagnosis, exploration, and transformation.
Data diagnostics provides information and visualization of missing values, outliers, and unique
and negative values to help you understand the distribution and quality of your data.
Data exploration provides information and visualization of the descriptive statistics of
univariate variables, normality tests and outliers, correlation of two variables,
and the relationship between the target variable and predictor. Data transformation supports binning
for categorizing continuous variables, imputes missing values and outliers, and resolves skewness.
And it creates automated reports that support these three tasks.
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu@gmail.com>
Diff between dlookr versions 0.6.4 dated 2025-08-24 and 0.6.5 dated 2025-08-31
DESCRIPTION | 16 +- MD5 | 72 +++++------ NAMESPACE | 13 +- NEWS.md | 8 + R/aggregate.R | 13 -- R/binning.R | 12 - R/compare.R | 4 R/correlate.R | 4 R/diagnose.R | 5 R/dlookr.R | 2 R/graphics.R | 276 ++++++++++++++++++++++++++++++++++++++++++- R/html_eda.R | 10 - R/imputation.R | 3 R/missing.R | 8 - R/normality.R | 3 R/overview.R | 2 R/pps.R | 2 R/target_by.R | 3 R/tbl_dbi.R | 4 R/transform.R | 3 R/univariate.R | 4 inst/doc/EDA.R | 24 +-- inst/doc/EDA.Rmd | 28 ++-- inst/doc/EDA.html | 26 ++-- inst/doc/diagonosis.R | 22 +-- inst/doc/diagonosis.Rmd | 26 ++-- inst/doc/diagonosis.html | 16 +- inst/doc/introduce.html | 4 inst/doc/transformation.R | 18 +- inst/doc/transformation.Rmd | 22 +-- inst/doc/transformation.html | 20 +-- man/plot.compare_category.Rd | 2 man/plot.compare_numeric.Rd | 2 man/plot.correlate.Rd | 2 vignettes/EDA.Rmd | 28 ++-- vignettes/diagonosis.Rmd | 26 ++-- vignettes/transformation.Rmd | 22 +-- 37 files changed, 511 insertions(+), 244 deletions(-)
Title: Datasets from Draper and Smith "Applied Regression Analysis"
(3rd Ed., 1998)
Description: An unofficial companion to the textbook "Applied Regression
Analysis" by N.R. Draper and H. Smith (3rd Ed., 1998) including all the
accompanying datasets.
Author: Luca Braglia [aut, cre]
Maintainer: Luca Braglia <lbraglia@gmail.com>
Diff between aprean3 versions 1.0.1 dated 2015-05-09 and 1.0.2 dated 2025-08-31
DESCRIPTION | 9 - MD5 | 312 +++++++++++++++++++++++++++---------------------------- README.md | 4 man/aprean3.Rd | 15 ++ man/dsa01a.Rd | 9 - man/dsa06b.Rd | 9 - man/dsa15a.Rd | 9 - man/dse03a.Rd | 9 - man/dse03aa.Rd | 9 - man/dse03bb.Rd | 9 - man/dse03c.Rd | 9 - man/dse03cc.Rd | 9 - man/dse03dd.Rd | 9 - man/dse03e.Rd | 9 - man/dse03ee.Rd | 9 - man/dse03f.Rd | 9 - man/dse03g.Rd | 9 - man/dse03gg.Rd | 9 - man/dse03h.Rd | 9 - man/dse03hh.Rd | 9 - man/dse03i.Rd | 9 - man/dse03ii.Rd | 9 - man/dse03j.Rd | 9 - man/dse03jj.Rd | 9 - man/dse03jj2.Rd | 9 - man/dse03jj3.Rd | 9 - man/dse03k.Rd | 9 - man/dse03kk.Rd | 9 - man/dse03ll.Rd | 9 - man/dse03n.Rd | 9 - man/dse03o.Rd | 9 - man/dse03r.Rd | 9 - man/dse03v.Rd | 9 - man/dse03w.Rd | 9 - man/dse03x.Rd | 9 - man/dse03z.Rd | 9 - man/dse04d.Rd | 9 - man/dse04e.Rd | 9 - man/dse04f.Rd | 9 - man/dse06a.Rd | 9 - man/dse06b.Rd | 9 - man/dse06c.Rd | 9 - man/dse06d.Rd | 9 - man/dse06e.Rd | 9 - man/dse06f.Rd | 9 - man/dse06g.Rd | 9 - man/dse06h.Rd | 9 - man/dse06i.Rd | 9 - man/dse06j.Rd | 9 - man/dse06k.Rd | 9 - man/dse06l.Rd | 9 - man/dse06z.Rd | 9 - man/dse07b.Rd | 9 - man/dse07c.Rd | 9 - man/dse08b.Rd | 9 - man/dse09b.Rd | 9 - man/dse12a.Rd | 9 - man/dse12b.Rd | 9 - man/dse12c.Rd | 9 - man/dse12d.Rd | 9 - man/dse12e.Rd | 9 - man/dse12h.Rd | 9 - man/dse13a.Rd | 9 - man/dse13b.Rd | 9 - man/dse13c.Rd | 9 - man/dse13d.Rd | 9 - man/dse13e.Rd | 9 - man/dse13f.Rd | 9 - man/dse13g.Rd | 9 - man/dse13h.Rd | 9 - man/dse14b.Rd | 9 - man/dse14c.Rd | 9 - man/dse14d.Rd | 9 - man/dse14e.Rd | 9 - man/dse14f.Rd | 9 - man/dse14g.Rd | 9 - man/dse14j.Rd | 9 - man/dse14l.Rd | 9 - man/dse14q.Rd | 9 - man/dse14r.Rd | 9 - man/dse14s.Rd | 9 - man/dse14t.Rd | 9 - man/dse14u.Rd | 9 - man/dse15a.Rd | 9 - man/dse15b.Rd | 9 - man/dse15c.Rd | 9 - man/dse15e.Rd | 9 - man/dse15f.Rd | 9 - man/dse15h.Rd | 9 - man/dse15i.Rd | 9 - man/dse15j.Rd | 9 - man/dse15k.Rd | 9 - man/dse15l.Rd | 9 - man/dse15n.Rd | 9 - man/dse15p.Rd | 9 - man/dse16a.Rd | 9 - man/dse16b.Rd | 9 - man/dse16c.Rd | 9 - man/dse16d.Rd | 9 - man/dse17b.Rd | 9 - man/dse19d.Rd | 9 - man/dse22a.Rd | 9 - man/dse22b.Rd | 9 - man/dse22c.Rd | 9 - man/dse22d.Rd | 9 - man/dse22e.Rd | 9 - man/dse22f.Rd | 9 - man/dse22g.Rd | 9 - man/dse23a_a.Rd | 9 - man/dse23a_b.Rd | 9 - man/dse23d.Rd | 9 - man/dse23e.Rd | 9 - man/dse23f.Rd | 9 - man/dse23g_1.Rd | 9 - man/dse23g_2.Rd | 9 - man/dse23h.Rd | 9 - man/dse24a.Rd | 9 - man/dse24b.Rd | 9 - man/dse24c.Rd | 9 - man/dse24d.Rd | 9 - man/dse24e.Rd | 9 - man/dse24g.Rd | 9 - man/dse24h.Rd | 9 - man/dse24i.Rd | 9 - man/dse24j.Rd | 9 - man/dse24k.Rd | 9 - man/dse24l.Rd | 9 - man/dse24m.Rd | 9 - man/dse24n.Rd | 9 - man/dse24o.Rd | 9 - man/dse24p.Rd | 9 - man/dsq23_3_3.Rd | 9 - man/dsq23_3_7.Rd | 9 - man/dsq23_7_5.Rd | 9 - man/dss217.Rd | 9 - man/dss222.Rd | 9 - man/dss2310.Rd | 9 - man/dst021.Rd | 9 - man/dst032.Rd | 9 - man/dst033.Rd | 9 - man/dst081.Rd | 9 - man/dst121.Rd | 9 - man/dst132.Rd | 9 - man/dst134.Rd | 9 - man/dst141.Rd | 9 - man/dst144.Rd | 9 - man/dst145.Rd | 9 - man/dst146.Rd | 9 - man/dst181.Rd | 9 - man/dst191.Rd | 9 - man/dst192.Rd | 9 - man/dst232.Rd | 9 - man/dst242.Rd | 9 - man/dst252.Rd | 9 - man/dst253.Rd | 9 - man/dst261.Rd | 9 - man/dsx161.Rd | 7 - 157 files changed, 940 insertions(+), 775 deletions(-)