Title: Occurrence Data Cleaning
Description: Flags and checks occurrence data that are in Darwin Core
format. The package includes generic functions and data as well as
some that are specific to bees. This package is meant to build upon
and be complimentary to other excellent occurrence cleaning packages,
including 'bdc' and 'CoordinateCleaner'. This package uses datasets
from several sources and particularly from the Discover Life Website,
created by Ascher and Pickering (2020). For further information,
please see the original publication and package website. Publication
- Dorey et al. (2023) <doi:10.1101/2023.06.30.547152> and package
website - Dorey et al. (2023) <https://github.com/jbdorey/BeeBDC>.
Author: James B. Dorey [aut, cre, cph]
,
Robert L. O'Reilly [aut] ,
Silas Bossert [aut] ,
Erica E. Fischer [aut]
Maintainer: James B. Dorey <jbdorey@me.com>
Diff between BeeBDC versions 1.2.0 dated 2024-06-21 and 1.2.1 dated 2024-11-03
DESCRIPTION | 18 MD5 | 34 NAMESPACE | 1 NEWS.md | 5 R/interactiveMapR.R | 47 R/jbd_coordCountryInconsistent.R | 1 R/jbd_create_figures.R | 1 R/summaryMaps.R | 8 R/taxadbToBeeBDC.R | 41 inst/BeeBDC_basicWorkflow.R | 6 inst/BeeBDC_fullWorkflow.R | 9 inst/doc/BeeBDC_main.R | 4 inst/doc/BeeBDC_main.Rmd | 6 inst/doc/BeeBDC_main.html | 1604 +++++++++++++++----------------- inst/doc/basic_workflow.html | 6 man/summaryMaps.Rd | 8 tests/testthat/test-formattedCombiner.R | 4 vignettes/BeeBDC_main.Rmd | 6 18 files changed, 948 insertions(+), 861 deletions(-)
Title: Queueing Model of Visual Search
Description: The queueing model of visual search models the accuracy and response time data in a visual search experiment using queueing models with finite customer population and stopping criteria of completing the service for finite number of customers. It implements the conceptualization of a hybrid model proposed by Moore and Wolfe (2001), in which visual stimuli enter the processing one after the other and then are identified in parallel. This package provides functions that simulate the specified queueing process and calculate the Wasserstein distance between the empirical response times and the model prediction.
Author: Martin Schlather [aut],
Yiqi Li [aut, cre]
Maintainer: Yiqi Li <yiqi.li.mathpsych@gmail.com>
Diff between qmvs versions 0.2.0 dated 2023-04-04 and 0.2.2 dated 2024-11-03
DESCRIPTION | 20 +++++++++++++++----- MD5 | 11 ++++++----- build/partial.rdb |binary configure |only src/Basic_utils.h | 2 +- src/def.h | 2 +- src/qmvs.cc | 44 ++++++++++++++++++++++---------------------- 7 files changed, 45 insertions(+), 34 deletions(-)
Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used,
but may require higher performance that what can be obtained from base R.
Incidentally provides support for 'reverse geocoding', such as matching a point
with its nearest neighbour in another array. Used as a complement to package
'hutils' by sacrificing compilation or installation time for higher running
speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre],
Simon Urbanek [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
Diff between hutilscpp versions 0.10.5 dated 2024-07-21 and 0.10.6 dated 2024-11-03
DESCRIPTION | 6 MD5 | 6 NEWS.md | 608 +++++++++++++++++++++++++++++------------------------------ src/is_seq.c | 5 4 files changed, 317 insertions(+), 308 deletions(-)
Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and
the second edition of "Numerical Methods and Optimization in
Finance" by M. Gilli, D. Maringer and E. Schumann (2019,
ISBN:978-0128150658). The package provides implementations
of optimisation heuristics (Differential Evolution, Genetic
Algorithms, Particle Swarm Optimisation, Simulated Annealing
and Threshold Accepting), and other optimisation tools, such
as grid search and greedy search. There are also functions
for the valuation of financial instruments such as bonds and
options, for portfolio selection and functions that help
with stochastic simulations.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>
Diff between NMOF versions 2.10-0 dated 2024-10-20 and 2.10-1 dated 2024-11-03
DESCRIPTION | 8 ++++---- MD5 | 28 ++++++++++++++-------------- NEWS | 4 ++++ inst/doc/An_overview.pdf |binary inst/doc/DEnss.pdf |binary inst/doc/LSqueens.pdf |binary inst/doc/LSselect.pdf |binary inst/doc/PSlms.pdf |binary inst/doc/TAportfolio.pdf |binary inst/doc/portfolio.pdf |binary inst/doc/qTableEx.pdf |binary inst/doc/repair.pdf |binary inst/doc/vectorise.pdf |binary inst/unitTests/test_results.txt | 28 ++++++++++++++-------------- man/NS.Rd | 24 ------------------------ 15 files changed, 36 insertions(+), 56 deletions(-)
Title: Phase I/II CRM Based Drug Combination Design
Description: Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.
Author: Junying Wang [cre, aut],
Song Wu [aut],
Jie Yang [aut]
Maintainer: Junying Wang <junying.wang@stonybrook.edu>
Diff between crm12Comb versions 0.1.7 dated 2024-09-16 and 0.1.8 dated 2024-11-03
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- R/Bayesian_likelihood.R | 10 +++++----- R/est.R | 36 ++++++++++++++++++++++++++++++------ data/examples_results.RData |binary inst/doc/crm12Comb.R | 2 +- inst/doc/crm12Comb.Rmd | 18 ++++++++++++++---- inst/doc/crm12Comb.html | 29 ++++++++++++++++++++--------- vignettes/crm12Comb.Rmd | 18 ++++++++++++++---- 9 files changed, 95 insertions(+), 40 deletions(-)
Title: Fast Robust Moments
Description: Fast, numerically robust computation of weighted moments via 'Rcpp'.
Supports computation on vectors and matrices, and Monoidal append of moments.
Moments and cumulants over running fixed length windows can be computed,
as well as over time-based windows.
Moment computations are via a generalization of Welford's method, as described
by Bennett et. (2009) <doi:10.1109/CLUSTR.2009.5289161>.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>
Diff between fromo versions 0.2.1 dated 2019-01-30 and 0.2.2 dated 2024-11-03
ChangeLog | 5 DESCRIPTION | 10 - MD5 | 68 ++++++------ R/fromo.r | 8 + README.md | 164 +++++++++++++++-------------- build/partial.rdb |only build/vignette.rds |binary inst/CITATION |only inst/doc/fromo.pdf |binary man/NEWS.Rd | 8 + man/as.centcosums.Rd | 1 man/as.centsums.Rd | 1 man/centcosum-accessor-methods.Rd | 1 man/centcosums-class.Rd | 8 - man/centcosums-unconcat.Rd | 1 man/centcosums.Rd | 8 - man/centsums-accessor-methods.Rd | 1 man/centsums-class.Rd | 8 - man/centsums-unconcat.Rd | 1 man/centsums.Rd | 18 ++- man/firstmoments.Rd | 96 ++++++++++++----- man/fromo-package.Rd | 20 ++- man/runningadjustments.Rd | 90 ++++++++++++---- man/runningmean.Rd | 33 ++++-- man/runningmoments.Rd | 154 ++++++++++++++++++++-------- man/runningquantiles.Rd | 41 +++++-- man/show-methods.Rd | 1 man/t_runningadjustments.Rd | 118 ++++++++++++++++----- man/t_runningmean.Rd | 48 ++++++-- man/t_runningmoments.Rd | 209 +++++++++++++++++++++++++++++--------- man/t_runningquantiles.Rd | 54 +++++++-- src/RcppExports.cpp | 5 src/t_running.h | 6 - src/t_runningmean.h | 7 - tests/testthat/test-correctness.r | 31 ++++- tools/figure/trun_testing-1.png |binary 36 files changed, 848 insertions(+), 376 deletions(-)
Title: Measuring Ecosystem Multi-Functionality and Its Decomposition
Description: Provide simple functions to (i) compute a class of
multi-functionality measures for a single ecosystem for given
function weights, (ii) decompose gamma multi-functionality
for pairs of ecosystems and K ecosystems (K can be greater than 2)
into a within-ecosystem component (alpha multi-functionality)
and an among-ecosystem component (beta multi-functionality).
In each case, the correlation between functions can be corrected for.
Based on biodiversity and ecosystem function data, this software
also facilitates graphics for assessing biodiversity-ecosystem
functioning relationships across scales.
Author: Anne Chao [aut, cre],
Chun-Yu Liu [ctb],
KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
Diff between MF.beta4 versions 1.0.3 dated 2024-04-16 and 1.1.0 dated 2024-11-03
DESCRIPTION | 22 - MD5 | 36 +- NAMESPACE | 1 NEWS | 3 R/Mainfun.R | 659 +++++++++++++++++++++++++------------- R/Mainfun.plot.R | 130 +++++-- build/vignette.rds |binary data/forest_biodiversity_data.rda |binary inst/CITATION | 4 inst/doc/Introduction.Rnw | 2 inst/doc/Introduction.pdf |binary man/MF.beta4-package.Rd | 23 - man/MF1_single.Rd | 5 man/MF2_multiple.Rd | 44 ++ man/MFggplot.Rd | 99 +++-- man/forest_biodiversity_data.Rd | 4 man/function_normalization.Rd | 2 vignettes/Introduction.Rnw | 2 vignettes/mypaper.pdf |binary 19 files changed, 698 insertions(+), 338 deletions(-)
Title: Extra Functionality for (Robust) Mediation Analysis
Description: This companion package extends the package 'robmed' (Alfons, Ates & Groenen, 2022b; <doi:10.18637/jss.v103.i13>) in various ways. Most notably, it provides a graphical user interface for the robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>) to make the method more accessible to less proficient 'R' users, as well as functions to export the results as a table in a 'Microsoft Word' or 'Microsoft Powerpoint' document, or as a 'LaTeX' table. Furthermore, the package contains a 'shiny' app to compare various bootstrap procedures for mediation analysis on simulated data.
Author: Andreas Alfons [aut, cre] ,
Aurore Archimbaud [aut] ,
Vincent Drenth [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Diff between robmedExtra versions 0.1.0 dated 2023-06-02 and 0.1.1 dated 2024-11-03
DESCRIPTION | 15 MD5 | 47 NAMESPACE | 132 - NEWS |only R/GUI_options.R | 198 +- R/export_docx.R | 237 +-- R/export_pptx.R | 173 +- R/robmedExtra-package.R | 72 R/shiny_apps.R | 372 ++-- R/to_flextable.R | 1537 ++++++++++---------- R/to_latex.R | 958 ++++++------ R/utils.R | 1439 +++++++++---------- build/partial.rdb |binary inst/shiny/GUI/server.R | 3054 ++++++++++++++++++++--------------------- inst/shiny/GUI/ui.R | 450 +++--- inst/shiny/simulation/server.R | 452 +++--- inst/shiny/simulation/ui.R | 488 +++--- man/export_docx.Rd | 155 +- man/export_pptx.Rd | 141 - man/robmedExtra-package.Rd | 68 man/robmed_GUI.Rd | 136 - man/simulation_app.Rd | 138 - man/theme_mediation.Rd | 129 - man/to_flextable.Rd | 292 +-- man/to_latex.Rd | 356 ++-- 25 files changed, 5534 insertions(+), 5505 deletions(-)
Title: Likelihood-Free Parameter Estimation using Neural Networks
Description: An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package facilitates the user-friendly development of neural point estimators, which are neural networks that map data to a point summary of the posterior distribution. These estimators are likelihood-free and amortised, in the sense that, after an initial setup cost, inference from observed data can be made in a fraction of the time required by conventional approaches; see Sainsbury-Dale, Zammit-Mangion, and Huser (2024) <doi:10.1080/00031305.2023.2249522> for further details and an accessible introduction. The package also enables the construction of neural networks that approximate the likelihood-to-evidence ratio in an amortised manner, allowing one to perform inference based on the likelihood function or the entire posterior distribution; see Zammit-Mangion, Sainsbury-Dale, and Huser (2024, Sec. 5.2) <doi:10.48550/arXiv.2404.12484>, and the references therein. The package accommodates any model for which [...truncated...]
Author: Matthew Sainsbury-Dale [aut, cre]
Maintainer: Matthew Sainsbury-Dale <msainsburydale@gmail.com>
Diff between NeuralEstimators versions 0.1.0 dated 2024-09-11 and 0.1.1 dated 2024-11-03
NeuralEstimators-0.1.0/NeuralEstimators/inst/doc/index.html |only NeuralEstimators-0.1.1/NeuralEstimators/DESCRIPTION | 9 +- NeuralEstimators-0.1.1/NeuralEstimators/MD5 | 16 ++-- NeuralEstimators-0.1.1/NeuralEstimators/R/core.R | 24 +++---- NeuralEstimators-0.1.1/NeuralEstimators/README.md | 10 +- NeuralEstimators-0.1.1/NeuralEstimators/build/vignette.rds |only NeuralEstimators-0.1.1/NeuralEstimators/inst/doc/NeuralEstimators.html.asis |only NeuralEstimators-0.1.1/NeuralEstimators/inst/doc/NeuralEstimators_IncompleteData.html.asis |only NeuralEstimators-0.1.1/NeuralEstimators/man/train.Rd | 12 +-- NeuralEstimators-0.1.1/NeuralEstimators/tests/testthat/test-core.R | 34 ++++++++-- NeuralEstimators-0.1.1/NeuralEstimators/vignettes |only 11 files changed, 67 insertions(+), 38 deletions(-)
More information about NeuralEstimators at CRAN
Permanent link
Title: 'DataSHIELD' Interface
Description: 'DataSHIELD' is an infrastructure and series of R packages that
enables the remote and 'non-disclosive' analysis of sensitive research data.
This package defines the API that is to be implemented by 'DataSHIELD' compliant
data repositories.
Author: Yannick Marcon [aut, cre] ,
Amadou Gaye [ctb] ,
Tim Cadman [ctb] ,
Paul Burton [ctb]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Diff between DSI versions 1.7.0 dated 2024-10-08 and 1.7.1 dated 2024-11-03
DSI-1.7.0/DSI/man/dot-remove_curly_brackets.Rd |only DSI-1.7.1/DSI/DESCRIPTION | 15 +-- DSI-1.7.1/DSI/MD5 | 27 +++--- DSI-1.7.1/DSI/NAMESPACE | 2 DSI-1.7.1/DSI/R/datashield.aggregate.R | 13 --- DSI-1.7.1/DSI/R/datashield.assign.R | 39 ++------- DSI-1.7.1/DSI/R/datashield.errorMessages.R |only DSI-1.7.1/DSI/R/datashield.errors.R | 98 +++++++++++------------- DSI-1.7.1/DSI/R/utils.R | 24 +++++ DSI-1.7.1/DSI/README.md | 1 DSI-1.7.1/DSI/man/datashield.aggregate.Rd | 4 DSI-1.7.1/DSI/man/datashield.assign.expr.Rd | 4 DSI-1.7.1/DSI/man/datashield.assign.resource.Rd | 4 DSI-1.7.1/DSI/man/datashield.assign.table.Rd | 4 DSI-1.7.1/DSI/man/datashield.errorMessages.Rd |only DSI-1.7.1/DSI/man/datashield.errors.Rd | 13 --- 16 files changed, 116 insertions(+), 132 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-02-11 0.12.0
Title: Utility Functions for Statistical Analysis Report Generation and
Monte Carlo Studies
Description: Helper functions for creating formatted summary of regression models, writing publication-ready tables to latex files, and running Monte Carlo experiments.
Author: Youyi Fong [cre],
Krisztian Sebestyen [aut],
Han Sunwoo [aut],
Jason Becker [ctb],
Bendix Carstensen [ctb],
Daryl Morris [ctb],
Josh Pasek [ctb],
Dennis Chao [ctb],
Andri Signorell [ctb],
Sue Li [ctb],
Jonathan Bartlett [ctb],
Christophe Dutang [ctb]
Maintainer: Youyi Fong <youyifong@gmail.com>
Diff between kyotil versions 2024.7-31 dated 2024-08-01 and 2024.11-01 dated 2024-11-03
DESCRIPTION | 6 +-- MD5 | 20 +++++----- NAMESPACE | 22 +++++------ R/plotting.R | 10 ++--- R/print.R | 8 ++-- R/regression.model.functions.R | 74 +++++++++++++++++++++++++++++--------- build/vignette.rds |binary inst/doc/kyotil-vignette.pdf |binary man/plotting.Rd | 29 ++++++++------ man/print.Rd | 6 ++- man/regression.model.functions.Rd | 4 +- 11 files changed, 112 insertions(+), 67 deletions(-)
Title: Species Distribution Modeling and Ecological Niche Modeling
Description: Implements species distribution modeling and ecological niche
modeling, including: bias correction, spatial cross-validation, model
evaluation, raster interpolation, biotic "velocity" (speed and
direction of movement of a "mass" represented by a raster), interpolating
across a time series of rasters, and use of spatially imprecise records.
The heart of the package is a set of "training" functions which
automatically optimize model complexity based number of available
occurrences. These algorithms include MaxEnt, MaxNet, boosted regression
trees/gradient boosting machines, generalized additive models,
generalized linear models, natural splines, and random forests. To enhance
interoperability with other modeling packages, no new classes are created.
The package works with 'PROJ6' geodetic objects and coordinate reference
systems.
Author: Adam B. Smith [cre, aut]
Maintainer: Adam B. Smith <adam.smith@mobot.org>
Diff between enmSdmX versions 1.1.6 dated 2024-06-13 and 1.1.9 dated 2024-11-03
DESCRIPTION | 12 +++--- MD5 | 76 ++++++++++++++++++++++---------------------- NEWS.md | 13 ++++++- R/bioticVelocity.r | 2 - R/compareResponse.r | 8 ++-- R/elimCellDuplicates.r | 4 +- R/evalAUC.r | 3 + R/modelSize.r | 11 +++++- R/nicheOverlapMetrics.r | 2 - R/predictEnmSdm.r | 2 - R/predictMaxEnt.r | 4 +- R/private_calcWeights.r | 2 - R/trainBRT.r | 4 +- R/trainByCrossValid.r | 2 - R/trainGAM.r | 76 ++++++++++++++++++++++++++++++-------------- R/trainGLM.r | 2 - R/trainMaxEnt.r | 14 +++++--- R/trainMaxNet.r | 12 ++++-- R/trainNS.r | 2 - R/trainRF.r | 2 - README.md | 4 +- build/partial.rdb |binary man/compareResponse.Rd | 8 ++-- man/dot-calcWeights.Rd | 2 - man/dot-cardinalDistance.Rd | 2 - man/elimCellDuplicates.Rd | 4 +- man/enmSdmX.Rd | 2 - man/evalAUC.Rd | 3 + man/nicheOverlapMetrics.Rd | 2 - man/predictEnmSdm.Rd | 2 - man/predictMaxEnt.Rd | 4 +- man/trainBRT.Rd | 4 +- man/trainByCrossValid.Rd | 2 - man/trainGAM.Rd | 4 +- man/trainGLM.Rd | 2 - man/trainMaxEnt.Rd | 14 +++++--- man/trainMaxNet.Rd | 13 +++++-- man/trainNS.Rd | 2 - man/trainRF.Rd | 2 - 39 files changed, 199 insertions(+), 130 deletions(-)
Title: Analysis of Adaptive Immune Receptor Repertoire Germ Line
Statistics
Description: Multiple tools are now available for inferring the personalised
germ line set from an adaptive immune receptor repertoire.
Output from these tools is converted to
a single format and supplemented with rich data such as usage and
characterisation of 'novel' germ line alleles. This data can be
particularly useful when considering the validity of novel inferences. Use
of the analysis provided is described in <doi:10.3389/fimmu.2019.00435>.
Author: William Lees [aut, cre]
Maintainer: William Lees <william@lees.org.uk>
Diff between ogrdbstats versions 0.5.0 dated 2023-03-09 and 0.5.2 dated 2024-11-03
DESCRIPTION | 8 - MD5 | 22 ++-- NEWS.md | 19 +++- R/genotype_statistics.R | 67 ++++++++++---- R/plots.R | 17 ++- R/sequence_stats.R | 9 + inst/doc/Using_ogrdbstats.R | 2 inst/doc/Using_ogrdbstats.Rmd | 4 inst/doc/Using_ogrdbstats.html | 99 ++++++++++----------- inst/templates/book.Rmd | 58 ++++++++---- vignettes/Using_ogrdbstats.Rmd | 4 vignettes/man/figures/README-unnamed-chunk-1-1.png |binary 12 files changed, 196 insertions(+), 113 deletions(-)
Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' family of packages
which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] ,
Rolf Turner [aut] ,
Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Diff between spatstat.utils versions 3.1-0 dated 2024-08-17 and 3.1-1 dated 2024-11-03
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS | 7 +++++++ R/resolve.defaults.R | 5 +++-- inst/doc/packagesizes.txt | 1 + inst/info/packagesizes.txt | 1 + 6 files changed, 21 insertions(+), 11 deletions(-)
More information about spatstat.utils at CRAN
Permanent link
Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via the fast-and-robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>), as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022b) <doi:10.18637/jss.v103.i13>.
Author: Andreas Alfons [aut, cre] ,
Nufer Y. Ates [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Diff between robmed versions 1.0.2 dated 2023-06-16 and 1.1.0 dated 2024-11-03
DESCRIPTION | 10 MD5 | 156 - NAMESPACE | 238 +- NEWS | 11 R/BSG2014.R | 10 R/boot.R | 4 R/ci_plot.R | 2 R/coef.R | 2 R/confint.R | 5 R/control.R | 1 R/density_plot.R | 2 R/ellipse_plot.R | 44 R/extract_effects.R | 958 +++++----- R/fit_mediation.R | 1487 +++++++-------- R/formula.R | 2 R/nobs.R | 2 R/p_value.R | 9 R/plot.R | 3 R/print.R | 1114 +++++------ R/regression.R | 164 - R/retest.R | 408 ++-- R/rob_F_test.R | 136 - R/robmed-package.R | 70 R/setup_ci_plot.R | 5 R/setup_density_plot.R | 3 R/setup_ellipse_plot.R | 12 R/setup_weight_plot.R | 12 R/sim_mediation.R | 17 R/summary.R | 916 ++++----- R/test_mediation.R | 2057 +++++++++++----------- R/utils.R | 421 ++-- R/weight_plot.R | 14 build/partial.rdb |binary build/vignette.rds |binary data/BSG2014.RData |binary inst/doc/robmed-intro.R | 14 inst/doc/robmed-intro.Rnw | 60 inst/doc/robmed-intro.pdf |binary man/BSG2014.Rd | 10 man/ci_plot.Rd | 296 +-- man/coef.test_mediation.Rd | 124 - man/confint.test_mediation.Rd | 158 - man/density_plot.Rd | 196 +- man/ellipse_plot.Rd | 274 +- man/fit_mediation.Rd | 767 ++++---- man/m.Rd | 134 - man/p_value.Rd | 172 - man/plot-methods.Rd | 159 - man/reg_control.Rd | 1 man/retest.Rd | 177 - man/robmed-package.Rd | 66 man/setup_ci_plot.Rd | 279 +- man/setup_density_plot.Rd | 219 +- man/setup_ellipse_plot.Rd | 314 +-- man/setup_weight_plot.Rd | 172 - man/sim_mediation.Rd | 516 ++--- man/summary.test_mediation.Rd | 246 +- man/test_mediation.Rd | 953 +++++----- man/weight_plot.Rd | 196 +- tests/testthat/test_boot_multiple_covariates.R | 1316 +++++++------- tests/testthat/test_boot_multiple_no_covariates.R | 1312 +++++++------- tests/testthat/test_boot_parallel_covariates.R | 1336 +++++++------- tests/testthat/test_boot_parallel_no_covariates.R | 1332 +++++++------- tests/testthat/test_boot_serial_covariates.R | 1356 +++++++------- tests/testthat/test_boot_serial_no_covariates.R | 1354 +++++++------- tests/testthat/test_boot_simple_covariates.R | 1300 ++++++------- tests/testthat/test_boot_simple_no_covariates.R | 1216 ++++++------- tests/testthat/test_fit_multiple_covariates.R | 814 ++++---- tests/testthat/test_fit_multiple_no_covariates.R | 808 ++++---- tests/testthat/test_fit_parallel_covariates.R | 832 ++++---- tests/testthat/test_fit_parallel_no_covariates.R | 832 ++++---- tests/testthat/test_fit_serial_covariates.R | 842 ++++----- tests/testthat/test_fit_serial_no_covariates.R | 842 ++++----- tests/testthat/test_fit_simple_covariates.R | 796 ++++---- tests/testthat/test_fit_simple_no_covariates.R | 892 ++++----- tests/testthat/test_sobel_simple_covariates.R | 988 +++++----- tests/testthat/test_sobel_simple_no_covariates.R | 1108 +++++------ vignettes/robmed-intro.Rnw | 60 vignettes/robmed.bib | 15 79 files changed, 16662 insertions(+), 16487 deletions(-)
Title: Optimal Adaptive Allocation Using Deep Reinforcement Learning
Description: An implementation to compute an optimal adaptive allocation rule
using deep reinforcement learning in a dose-response study
(Matsuura et al. (2022) <doi:10.1002/sim.9247>).
The adaptive allocation rule can directly optimize a performance metric,
such as power, accuracy of the estimated target dose, or mean absolute error
over the estimated dose-response curve.
Author: Kentaro Matsuura [aut, cre, cph]
,
Koji Makiyama [aut, ctb]
Maintainer: Kentaro Matsuura <matsuurakentaro55@gmail.com>
Diff between RLoptimal versions 1.0.1 dated 2024-10-03 and 1.1.0 dated 2024-11-03
DESCRIPTION | 9 +- MD5 | 25 +++-- NEWS.md | 4 R/adjust_significance_level.R | 52 +++++++++--- R/allocation_rule.R | 4 R/simulate_one_trial.R | 19 +++- README.md | 52 ++++++++++-- inst/doc/RLoptimal.R | 42 ++++++++- inst/doc/RLoptimal.Rmd | 45 +++++++++- inst/doc/RLoptimal.html | 177 ++++++++++++++++++++++++------------------ man/figures |only man/simulate_one_trial.Rd | 3 tests |only vignettes/RLoptimal.Rmd | 45 +++++++++- 14 files changed, 343 insertions(+), 134 deletions(-)
Title: Machinery for Processing Random Effect Formulas
Description: Takes formulas including random-effects components (formatted as in 'lme4', 'glmmTMB', etc.) and processes them. Includes various helper functions.
Author: Ben Bolker [aut, cre]
Maintainer: Ben Bolker <bolker@mcmaster.ca>
Diff between reformulas versions 0.3.0 dated 2024-06-04 and 0.4.0 dated 2024-11-03
DESCRIPTION | 8 +-- MD5 | 20 +++++--- NEWS.md | 8 +++ R/utils.R | 121 ++++++++++++++++++++++++++++++++++++++---------------- build/partial.rdb |binary inst/tinytest |only man/anySpecial.Rd | 13 +++++ man/formfuns.Rd | 7 ++- man/splitForm.Rd | 1 tests |only 10 files changed, 130 insertions(+), 48 deletions(-)
Title: Spatial Data Download and Utility Functions
Description: A suite of conversion functions to create internally standardized
spatial polygons data frames. Utility functions use these data sets to
return values such as country, state, time zone, watershed, etc. associated
with a set of longitude/latitude pairs. (They also make cool maps.)
Author: Jonathan Callahan [aut, cre],
Rachel Carroll [aut],
Eli Grosman [aut],
Roger Andre [aut],
Tom Bergamaschi [aut],
Tina Chen [aut],
Ruby Fore [aut],
Will Leahy [aut],
Helen Miller [aut],
Henry Nguyen [aut],
Robin Winstanley [aut],
Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Diff between MazamaSpatialUtils versions 0.8.6 dated 2023-09-06 and 0.8.7 dated 2024-11-03
MazamaSpatialUtils-0.8.6/MazamaSpatialUtils/R/MazamaSpatialUtils.R |only MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/DESCRIPTION | 8 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/MD5 | 55 ++-- MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/NAMESPACE | 6 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/NEWS.md | 17 + MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/R/MazamaSpatialUtils-package.R |only MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/R/US_countryConversion.R |only MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/R/US_countyConversion.R | 116 +++++----- MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/R/US_stateConversion.R | 24 +- MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/R/convertTMWorldBorders.R | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/README.md | 4 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/inst/doc/MazamaSpatialUtils.html | 4 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/MazamaSpatialUtils.Rd | 6 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/SpatialDataDir.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/US_countyConversion.Rd | 6 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/US_stateConversion.Rd | 5 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/codeToCountry.Rd | 6 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/codeToState.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/convertTMWorldBorders.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/countryConversion.Rd |only MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/countryToCode.Rd | 6 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/dissolve.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/dot-removeSpatialDataDir.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/getSpatialDataDir.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/iso2ToIso3.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/iso3ToIso2.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/setSpatialDataDir.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/simplify.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/man/stateToCode.Rd | 2 MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/tests/testthat/test-US_countryConversion.R |only MazamaSpatialUtils-0.8.7/MazamaSpatialUtils/tests/testthat/test-US_stateConversion.R | 12 - 31 files changed, 165 insertions(+), 134 deletions(-)
More information about MazamaSpatialUtils at CRAN
Permanent link
Title: Easy Access to 'ggplot2' Commands
Description: Provides a series of aliases to commonly used but difficult
to remember 'ggplot2' sequences.
Author: Jonathan Carroll [aut, cre] ,
Alicia Schep [aut] ,
Jonathan Sidi [aut] ,
Bob Rudis [ctb] ,
Mohamed El Fodil Ihaddaden [ctb],
Thomas Neitmann [ctb]
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>
Diff between ggeasy versions 0.1.4 dated 2023-03-12 and 0.1.5 dated 2024-11-03
DESCRIPTION | 12 +- MD5 | 61 ++++++------ NAMESPACE | 8 + NEWS.md | 7 + R/ggeasy-package.r | 4 R/gridlines.R | 4 R/labs2.R | 10 +- R/text.R | 36 +++++++ README.md | 13 +- build/vignette.rds |binary inst/doc/shortcuts.R | 14 +- inst/doc/shortcuts.html | 190 +++++++++++++++++++-------------------- inst/doc/tests_and_coverage.html | 2 man/easy_change_text.Rd | 30 +++++- man/easy_remove_gridlines.Rd | 3 man/figures/example-1.png |binary man/figures/example-10.png |binary man/figures/example-11.png |binary man/figures/example-2.png |binary man/figures/example-3.png |binary man/figures/example-4.png |binary man/figures/example-5.png |binary man/figures/example-6.png |binary man/figures/example-7.png |binary man/figures/example-8.png |binary man/figures/example-9.png |binary man/figures/teach-1.png |binary man/figures/teach-2.png |binary man/ggeasy.Rd | 28 +++++ tests/testthat/_snaps/text |only tests/testthat/test-labs.R | 10 -- tests/testthat/test-text.R | 14 ++ 32 files changed, 290 insertions(+), 156 deletions(-)
Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre]
,
Antonio Castro [aut, ctb],
Heraldo Borges [aut, ths],
Diego Carvalho [aut, ths],
Joel Santos [aut, ths],
Eduardo Bezerra [aut, ths],
Rafaelli Coutinho [aut, ths],
Federal Center for Technological Education of Rio d [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between daltoolbox versions 1.0.767 dated 2024-03-31 and 1.0.787 dated 2024-11-03
daltoolbox-1.0.767/daltoolbox/R/trans_autoenc_encode.R |only daltoolbox-1.0.767/daltoolbox/R/trans_autoenc_encode_decode.R |only daltoolbox-1.0.787/daltoolbox/DESCRIPTION | 8 daltoolbox-1.0.787/daltoolbox/MD5 | 338 +++++----- daltoolbox-1.0.787/daltoolbox/R/cla_classification.R | 68 +- daltoolbox-1.0.787/daltoolbox/R/cla_dtree.R | 9 daltoolbox-1.0.787/daltoolbox/R/cla_knn.R | 8 daltoolbox-1.0.787/daltoolbox/R/cla_majority.R | 8 daltoolbox-1.0.787/daltoolbox/R/cla_mlp.R | 4 daltoolbox-1.0.787/daltoolbox/R/cla_nb.R | 6 daltoolbox-1.0.787/daltoolbox/R/cla_rf.R | 5 daltoolbox-1.0.787/daltoolbox/R/cla_svm.R | 6 daltoolbox-1.0.787/daltoolbox/R/cla_tune.R | 22 daltoolbox-1.0.787/daltoolbox/R/clu_clusterer.R | 10 daltoolbox-1.0.787/daltoolbox/R/clu_dbscan.R | 12 daltoolbox-1.0.787/daltoolbox/R/clu_kmeans.R | 4 daltoolbox-1.0.787/daltoolbox/R/clu_pam.R | 4 daltoolbox-1.0.787/daltoolbox/R/clu_tune.R | 5 daltoolbox-1.0.787/daltoolbox/R/dal_adjust.R | 29 daltoolbox-1.0.787/daltoolbox/R/dal_base.R | 18 daltoolbox-1.0.787/daltoolbox/R/dal_learner.R | 8 daltoolbox-1.0.787/daltoolbox/R/dal_predictor.R | 2 daltoolbox-1.0.787/daltoolbox/R/dal_tune.R | 11 daltoolbox-1.0.787/daltoolbox/R/globals.R | 8 daltoolbox-1.0.787/daltoolbox/R/graphics.R | 116 +-- daltoolbox-1.0.787/daltoolbox/R/reg_dtree.R | 2 daltoolbox-1.0.787/daltoolbox/R/reg_knn.R | 2 daltoolbox-1.0.787/daltoolbox/R/reg_mlp.R | 2 daltoolbox-1.0.787/daltoolbox/R/reg_regression.R | 5 daltoolbox-1.0.787/daltoolbox/R/reg_rf.R | 2 daltoolbox-1.0.787/daltoolbox/R/reg_svm.R | 4 daltoolbox-1.0.787/daltoolbox/R/reg_tune.R | 4 daltoolbox-1.0.787/daltoolbox/R/trans_categ_mapping.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_dt_pca.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_fit_curvature_max.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_norm_minmax.R | 7 daltoolbox-1.0.787/daltoolbox/R/trans_norm_zscore.R | 7 daltoolbox-1.0.787/daltoolbox/R/trans_outliers.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_sample.R | 28 daltoolbox-1.0.787/daltoolbox/R/trans_sample_random.R | 24 daltoolbox-1.0.787/daltoolbox/R/trans_sample_strat.R | 8 daltoolbox-1.0.787/daltoolbox/R/trans_smoothing.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_smoothing_cluster.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_smoothing_freq.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_smoothing_inter.R | 2 daltoolbox-1.0.787/daltoolbox/R/trans_transform.R | 6 daltoolbox-1.0.787/daltoolbox/R/trans_van_enc_decode.R |only daltoolbox-1.0.787/daltoolbox/R/trans_van_encode.R |only daltoolbox-1.0.787/daltoolbox/R/ts_arima.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_conv1d.R | 6 daltoolbox-1.0.787/daltoolbox/R/ts_data.R | 17 daltoolbox-1.0.787/daltoolbox/R/ts_elm.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_knn.R | 6 daltoolbox-1.0.787/daltoolbox/R/ts_lstm.R | 6 daltoolbox-1.0.787/daltoolbox/R/ts_mlp.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_norm_an.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_norm_diff.R | 4 daltoolbox-1.0.787/daltoolbox/R/ts_norm_ean.R | 5 daltoolbox-1.0.787/daltoolbox/R/ts_norm_gminmax.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_norm_swminmax.R | 4 daltoolbox-1.0.787/daltoolbox/R/ts_projection.R | 5 daltoolbox-1.0.787/daltoolbox/R/ts_reg.R | 26 daltoolbox-1.0.787/daltoolbox/R/ts_regsw.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_rf.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_sample.R | 2 daltoolbox-1.0.787/daltoolbox/R/ts_svm.R | 4 daltoolbox-1.0.787/daltoolbox/R/ts_tune.R | 16 daltoolbox-1.0.787/daltoolbox/README.md | 2 daltoolbox-1.0.787/daltoolbox/man/MSE.ts.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/R2.ts.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/action.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/action.dal_transform.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/adjust_class_label.Rd | 7 daltoolbox-1.0.787/daltoolbox/man/adjust_data.frame.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/adjust_factor.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/adjust_matrix.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/adjust_ts_data.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/autoenc_encode.Rd | 9 daltoolbox-1.0.787/daltoolbox/man/autoenc_encode_decode.Rd | 13 daltoolbox-1.0.787/daltoolbox/man/categ_mapping.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/cla_dtree.Rd | 7 daltoolbox-1.0.787/daltoolbox/man/cla_knn.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/cla_majority.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/cla_mlp.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/cla_nb.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/cla_rf.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/cla_svm.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/cla_tune.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/classification.Rd | 8 daltoolbox-1.0.787/daltoolbox/man/clu_tune.Rd | 5 daltoolbox-1.0.787/daltoolbox/man/cluster.Rd | 8 daltoolbox-1.0.787/daltoolbox/man/cluster_dbscan.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/cluster_kmeans.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/cluster_pam.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/clusterer.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/dal_base.Rd | 2 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daltoolbox-1.0.787/daltoolbox/man/plot_density_class.Rd | 8 daltoolbox-1.0.787/daltoolbox/man/plot_groupedbar.Rd | 10 daltoolbox-1.0.787/daltoolbox/man/plot_hist.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_lollipop.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_pieplot.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_points.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_radar.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_scatter.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_series.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_stackedbar.Rd | 9 daltoolbox-1.0.787/daltoolbox/man/plot_ts.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/plot_ts_pred.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/predictor.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/reg_dtree.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/reg_knn.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/reg_mlp.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/reg_rf.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/reg_svm.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/reg_tune.Rd | 4 daltoolbox-1.0.787/daltoolbox/man/regression.Rd | 5 daltoolbox-1.0.787/daltoolbox/man/sMAPE.ts.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/sample_random.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/sample_stratified.Rd | 8 daltoolbox-1.0.787/daltoolbox/man/select_hyper.Rd | 6 daltoolbox-1.0.787/daltoolbox/man/select_hyper.cla_tune.Rd | 8 daltoolbox-1.0.787/daltoolbox/man/select_hyper.ts_tune.Rd | 10 daltoolbox-1.0.787/daltoolbox/man/set_params.Rd | 3 daltoolbox-1.0.787/daltoolbox/man/set_params.default.Rd | 7 daltoolbox-1.0.787/daltoolbox/man/smoothing.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/smoothing_cluster.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/smoothing_freq.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/smoothing_inter.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/sub-.ts_data.Rd | 9 daltoolbox-1.0.787/daltoolbox/man/train_test.Rd | 18 daltoolbox-1.0.787/daltoolbox/man/train_test_from_folds.Rd | 23 daltoolbox-1.0.787/daltoolbox/man/transform.Rd | 2 daltoolbox-1.0.787/daltoolbox/man/ts_arima.Rd | 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daltoolbox-1.0.787/daltoolbox/man/zscore.Rd | 7 172 files changed, 800 insertions(+), 672 deletions(-)
Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects,
statisticians and data scientists asynchronously
deploy long-running tasks to distributed systems,
ranging from traditional clusters to cloud services.
The 'NNG'-powered 'mirai' R package by Gao (2023)
<doi:10.5281/zenodo.7912722> is a sleek
and sophisticated scheduler that
efficiently processes these intense workloads.
The 'crew' package extends 'mirai' with a unifying
interface for third-party worker launchers.
Inspiration also comes from packages.
'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>,
'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>,
'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>),
and 'batchtools' by Lang, Bischel, and Surmann (2017)
<doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre]
,
Daniel Woodie [ctb],
Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Diff between crew versions 0.10.0 dated 2024-10-11 and 0.10.1 dated 2024-11-03
DESCRIPTION | 13 - MD5 | 14 - NEWS.md | 4 R/crew_eval.R | 7 inst/doc/logging.Rmd | 89 +++++++---- inst/doc/logging.html | 208 ++++++++++++++-------------- tests/testthat/test-crew_controller_local.R | 3 vignettes/logging.Rmd | 89 +++++++---- 8 files changed, 241 insertions(+), 186 deletions(-)
Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and
statistical computing in R that is extremely fast, class-agnostic, robust and
programmer friendly. Core functionality includes a rich set of S3 generic grouped
and weighted statistical functions for vectors, matrices and data frames, which
provide efficient low-level vectorizations, OpenMP multithreading, and skip missing
values by default. These are integrated with fast grouping and ordering algorithms
(also callable from C), and efficient data manipulation functions. The package also
provides a flexible and rigorous approach to time series and panel data in R.
It further includes fast functions for common statistical procedures, detailed
(grouped, weighted) summary statistics, powerful tools to work with nested data,
fast data object conversions, functions for memory efficient R programming, and
helpers to effectively deal with variable labels, attributes, and missing data.
It is well integrated with base R classes, 'dplyr'/' [...truncated...]
Author: Sebastian Krantz [aut, cre] ,
Matt Dowle [ctb],
Arun Srinivasan [ctb],
Morgan Jacob [ctb],
Dirk Eddelbuettel [ctb],
Laurent Berge [ctb],
Kevin Tappe [ctb],
R Core Team and contributors worldwide [ctb],
Martyn Plummer [cph],
1999-2016 The R Core Team [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Diff between collapse versions 2.0.16 dated 2024-08-21 and 2.0.17 dated 2024-11-03
DESCRIPTION | 11 MD5 | 74 ++--- NEWS.md | 17 + R/GRP.R | 6 R/descr.R | 9 R/fsubset_ftransform_fmutate.R | 16 - R/indexing.R | 2 R/pivot.R | 10 R/quick_conversion.R | 7 R/recode_replace.R | 5 R/small_helper.R | 8 R/unlist2d.R | 2 inst/WORDLIST | 1 inst/doc/collapse_documentation.html | 4 inst/doc/collapse_for_tidyverse_users.R | 63 ++++ inst/doc/collapse_for_tidyverse_users.Rmd | 99 ++++++ inst/doc/collapse_for_tidyverse_users.html | 174 +++++++++++ inst/doc/collapse_object_handling.html | 4 man/across.Rd | 4 man/collapse-options.Rd | 2 man/fquantile.Rd | 2 man/qsu.Rd | 4 man/quick-conversion.Rd | 4 src/data.table.h | 17 + src/data.table_init.c | 2 src/data.table_rbindlist.c | 50 +-- src/data.table_subset.c | 26 - src/data.table_utils.c | 25 + src/fbstats.cpp | 421 ++++++++++++++++++----------- src/fmean.c | 4 src/fnth_fmedian_fquantile.c | 58 +-- src/kit_dup.c | 30 +- src/small_helper.c | 7 tests/testthat/test-fscale-STD.R | 4 tests/testthat/test-miscellaneous-issues.R | 8 tests/testthat/test-qsu.R | 74 ++--- tests/testthat/test-recode-replace.R | 5 vignettes/collapse_for_tidyverse_users.Rmd | 99 ++++++ 38 files changed, 979 insertions(+), 379 deletions(-)