Title: A Common API to Clustering
Description: A common interface to specifying clustering models, in the
same style as 'parsnip'. Creates unified interface across different
functions and computational engines.
Author: Emil Hvitfeldt [aut, cre] ,
Kelly Bodwin [aut],
Posit Software, PBC. [cph, fnd]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Diff between tidyclust versions 0.1.0 dated 2022-11-24 and 0.1.1 dated 2022-12-19
DESCRIPTION | 8 ++++---- MD5 | 14 ++++++++------ NEWS.md |only R/extract_assignment.R | 4 ++-- R/metric-silhouette.R | 10 ++++++++++ R/predict_helpers.R | 9 +++++++-- R/tune_cluster.R | 9 +++++++++ tests/testthat/_snaps/tune_cluster.md | 4 ++-- tests/testthat/test-metric-silhouette.R |only 9 files changed, 42 insertions(+), 16 deletions(-)
Title: Compose Sentences to Describe Comparisons
Description: Create dynamic, data-driven text. Given two values, a list of
talking points is generated and can be combined using string
interpolation. Based on the 'glue' package.
Author: Jake Riley [aut, cre]
Maintainer: Jake Riley <rjake@sas.upenn.edu>
Diff between headliner versions 0.0.2 dated 2022-06-26 and 0.0.3 dated 2022-12-19
DESCRIPTION | 17 ++-- MD5 | 14 +-- NAMESPACE | 2 NEWS.md | 10 +- R/utils-data-manipulation.R | 10 ++ README.md | 1 build/vignette.rds |binary inst/doc/intro.html | 155 +++++++++++++++++++++----------------------- 8 files changed, 111 insertions(+), 98 deletions(-)
Title: Control Function Methods with Possibly Invalid Instrumental
Variables
Description: Inference with control function methods for nonlinear outcome models when the model is known ('Guo and Small' (2016) <arXiv:1602.01051>) and when unknown but semiparametric ('Li and Guo' (2021) <arXiv:2010.09922>).
Author: Taehyeon Koo [aut],
Sai Li [aut],
Dylan Small [ctb],
Zijian Guo [aut, cre, cph]
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>
Diff between controlfunctionIV versions 0.1.0 dated 2022-08-23 and 0.1.1 dated 2022-12-19
controlfunctionIV-0.1.0/controlfunctionIV/R/Probit-control.R |only controlfunctionIV-0.1.0/controlfunctionIV/man/ProbitControl.Rd |only controlfunctionIV-0.1.1/controlfunctionIV/DESCRIPTION | 8 - controlfunctionIV-0.1.1/controlfunctionIV/MD5 | 18 +-- controlfunctionIV-0.1.1/controlfunctionIV/NAMESPACE | 2 controlfunctionIV-0.1.1/controlfunctionIV/R/Probit.cf.R |only controlfunctionIV-0.1.1/controlfunctionIV/R/SpotIV.R | 18 ++- controlfunctionIV-0.1.1/controlfunctionIV/R/cf.R | 19 ++- controlfunctionIV-0.1.1/controlfunctionIV/R/helpers-Probit.R | 4 controlfunctionIV-0.1.1/controlfunctionIV/R/helpers-SpotIV.R | 48 +++++++--- controlfunctionIV-0.1.1/controlfunctionIV/R/pretest.R | 13 -- controlfunctionIV-0.1.1/controlfunctionIV/man/Probit.cf.Rd |only 12 files changed, 83 insertions(+), 47 deletions(-)
More information about controlfunctionIV at CRAN
Permanent link
Title: Cluster Analysis via Random Partition Distributions
Description: Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is
implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates.
An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since
pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids
clustering methods. The method is Dahl, Andros, Carter (2022+) <doi:10.1002/sam.11602>.
Author: David B. Dahl [aut, cre] ,
R. Jacob Andros [aut] ,
J. Brandon Carter [aut] ,
Alex Crichton [cph] ,
"bluss" Ulrik Sverdrup [cph] ,
Brendan Zabarauskas [cph] ,
David B. Dahl [cph] ,
David Tolnay [cph] ,
David Schultz [cph] ,
DutchGhost [cph] ,
Enthough [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Diff between caviarpd versions 0.3.4 dated 2022-12-07 and 0.3.6 dated 2022-12-19
DESCRIPTION | 94 ++++++++++++++++++++++----------------- MD5 | 12 ++-- NEWS | 3 + src/rust/Cargo.lock | 16 +++--- src/rust/roxido/Cargo.lock | 16 +++--- src/rust/roxido_macro/Cargo.lock | 16 +++--- src/rust/vendor.tar.xz |binary 7 files changed, 87 insertions(+), 70 deletions(-)
Title: Robust Instrumental Variable Methods in Linear Models
Description: Inference for the treatment effect with possibly invalid instrumental variables via TSHT('Guo et al.' (2016) <arXiv:1603.05224>) and SearchingSampling('Guo' (2021) <arXiv:2104.06911>), which are effective for both low- and high-dimensional covariates and instrumental variables; test of endogeneity in high dimensions ('Guo et al.' (2016) <arXiv:1609.06713>).
Author: Taehyeon Koo [aut],
Zhenyu Wang [aut],
Hyunseung Kang [ctb],
Dylan Small [ctb],
Zijian Guo [aut, cre, cph]
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>
Diff between RobustIV versions 0.2.4 dated 2022-08-19 and 0.2.5 dated 2022-12-19
DESCRIPTION | 20 +++++++------- MD5 | 18 ++++++------- R/SearchingSampling.R | 20 +++++--------- R/TSHT.R | 16 ++++++++++- R/endo-test.R | 26 +++++++++++++++---- R/helpers-TSHT.R | 34 ++++++++++++++++-------- R/helpers-endo.test.R | 64 +++++++++++++++++++++++++++++++---------------- man/SearchingSampling.Rd | 4 +- man/TSHT.Rd | 4 +- man/endo.test.Rd | 5 ++- 10 files changed, 135 insertions(+), 76 deletions(-)
Title: Miscellaneous Functions for Passive Acoustic Analysis
Description: A collection of miscellaneous functions for passive acoustics.
Much of the content here is adapted to R from code written by other people.
If you have any ideas of functions to add, please contact Taiki Sakai.
Author: Taiki Sakai [aut, cre],
Jay Barlow [ctb],
Julie Oswald [ctb],
Val Schmidt [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>
Diff between PAMmisc versions 1.9.5 dated 2022-10-17 and 1.10.4 dated 2022-12-19
DESCRIPTION | 11 +- MD5 | 28 ++++-- NAMESPACE | 14 +++ NEWS.md | 27 ++++++ R/addPgEvent.R | 164 +++++++++++++++++++++++---------------- R/downloadEnv.R | 4 R/plotPresBar.R |only R/plotPresGrid.R |only R/soundtrapQAQC.R | 48 +++++++++-- R/trainSplitPermute.R |only man/addPgAnno.Rd | 108 ++++++++++++------------- man/addPgEvent.Rd | 8 + man/plotPresBar.Rd |only man/plotPresGrid.Rd |only man/readSpecAnno.Rd | 58 ++++++------- man/soundtrapQAQC.Rd | 107 +++++++++++++------------ man/trainSplitPermute.Rd |only tests/testthat/test-pgDatabase.R | 28 +++--- 18 files changed, 368 insertions(+), 237 deletions(-)
Title: Infinite Mixtures of Infinite Factor Analysers and Related
Models
Description: Provides flexible Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering high-dimensional data, introduced by Murphy et al. (2020) <doi:10.1214/19-BA1179>. The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures without recourse to model selection criteria to choose the number of clusters or cluster-specific latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided, as well as many options for plotting results, conducting posterior inference on parameters of interest, posterior predictive checking, and quantifying uncertainty.
Author: Keefe Murphy [aut, cre] ,
Cinzia Viroli [ctb] ,
Isobel Claire Gormley [ctb]
Maintainer: Keefe Murphy <keefe.murphy@mu.ie>
Diff between IMIFA versions 2.1.9 dated 2022-08-15 and 2.1.10 dated 2022-12-19
DESCRIPTION | 10 +-- MD5 | 52 +++++++++---------- R/Diagnostics.R | 6 +- R/FullConditionals.R | 43 ++++++++------- R/Gibbs_FA.R | 4 - R/Gibbs_IFA.R | 10 +-- R/Gibbs_IMFA.R | 10 +-- R/Gibbs_IMIFA.R | 14 ++--- R/Gibbs_MFA.R | 2 R/Gibbs_MIFA.R | 4 - R/Gibbs_OMFA.R | 8 +- R/Gibbs_OMIFA.R | 10 +-- R/IMIFA.R | 6 +- R/MainFunction.R | 6 +- R/PlottingFunctions.R | 8 +- R/SimulateData.R | 2 build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.md | 8 ++ inst/doc/IMIFA.Rmd | 2 inst/doc/IMIFA.html | 136 ++++++++++++++++++++++++++------------------------ man/IMIFA-package.Rd | 4 - man/MGP_check.Rd | 4 - man/bnpControl.Rd | 6 +- man/ltrgamma.Rd | 2 man/mgpControl.Rd | 2 vignettes/IMIFA.Rmd | 2 27 files changed, 189 insertions(+), 172 deletions(-)
Title: Feature Allocation Neighborhood Greedy Search Algorithm
Description: A neighborhood-based, greedy search algorithm is performed to estimate a feature allocation by minimizing the expected loss based on posterior samples from the feature allocation distribution. The method is currently under peer review but an earlier draft is available in Dahl, Johnson, and Andros (2022+) <doi:10.48550/arXiv.2207.13824>.
Author: David B. Dahl [aut, cre] ,
R. Jacob Andros [aut] ,
Devin J. Johnson [aut] ,
Alex Crichton [cph] ,
Andrii Dmytrenko [cph] ,
Brendan Zabarauskas [cph] ,
David B. Dahl [cph] ,
David Tolnay [cph] ,
DutchGhost [cph] ,
Enthought, Inc. [cph] ,
Gilad Naaman [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Diff between fangs versions 0.2.2 dated 2022-12-05 and 0.2.8 dated 2022-12-19
DESCRIPTION | 97 +++++++++++- MD5 | 26 +-- NEWS | 4 R/fangs.R | 36 +++- configure | 10 - man/compute_expected_loss.Rd | 4 man/compute_loss.Rd | 4 man/fangs.Rd | 20 +- src/rust/Cargo.lock | 21 +- src/rust/roxido/Cargo.lock | 16 +- src/rust/roxido_macro/Cargo.lock | 16 +- src/rust/src/lib.rs | 306 +++++++++++++++++++++++++++++++-------- src/rust/src/registration.rs | 19 +- src/rust/vendor.tar.xz |binary 14 files changed, 438 insertions(+), 141 deletions(-)
Title: Compositional Data Analysis for Microbiome Studies
Description: Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.
Author: Malu Calle [aut] ,
Toni Susin [aut, cre]
Maintainer: Toni Susin <toni.susin@upc.edu>
Diff between coda4microbiome versions 0.1.2 dated 2022-11-07 and 0.1.3 dated 2022-12-19
DESCRIPTION | 6 ++-- MD5 | 42 ++++++++++++++--------------- R/coda4microbiome_functions.R | 32 ++++++++++++---------- R/coda4microbiome_longitudinal_functions.R | 34 ++++++++++++----------- build/partial.rdb |binary inst/doc/coda4microbiome.Rmd | 2 - inst/doc/coda4microbiome.html | 5 ++- man/coda_glmnet.Rd | 9 ++++-- man/coda_glmnet_longitudinal.Rd | 11 ++++--- man/coda_glmnet_longitudinal0.Rd | 4 +- man/coda_glmnet_longitudinal_null.Rd | 4 +- man/coda_glmnet_null.Rd | 4 +- man/explore_logratios.Rd | 4 +- man/explore_lr_longitudinal.Rd | 4 +- man/explore_zeros.Rd | 2 - man/filter_longitudinal.Rd | 2 - man/impute_zeros.Rd | 4 +- man/integralFun.Rd | 4 +- man/logratios_matrix.Rd | 2 - man/plot_prediction.Rd | 2 - man/plot_signature_curves.Rd | 2 - vignettes/coda4microbiome.Rmd | 2 - 22 files changed, 97 insertions(+), 84 deletions(-)
More information about coda4microbiome at CRAN
Permanent link
Title: Optimal Analysis of Test and Rating Scale Data
Description: Develop, evaluate, and score multiple choice examinations,
psychological scales, questionnaires, and similar types of data involving
sequences of choices among one or more sets of answers.
This version of the package should be considered as brand new. Almost all
of the functions have been changed, including their argument list.
See the file NEWS.Rd in the Inst folder for more information.
Using the package does not require any formal statistical knowledge
beyond what would be provided by a first course in statistics in a
social science department. There the user would encounter the concept
of probability and how it is used to model data and make decisions,
and would become familiar with basic mathematical and statistical notation.
Most of the output is in graphical form.
Author: James Ramsay [aut, cre],
Juan Li [ctb],
Marie Wiberg [ctb],
Joakim Wallmark [ctb],
Spencer Graves [ctb]
Maintainer: James Ramsay <james.ramsay@mcgill.ca>
Diff between TestGardener versions 3.1.0 dated 2022-11-24 and 3.1.1 dated 2022-12-19
DESCRIPTION | 8 - MD5 | 36 +++---- R/Analyze.R | 6 - R/ICC.fit.R | 25 ++--- R/Wbinsmth.R | 157 ++-------------------------------- R/make.dataList.R | 135 ++++++++++++----------------- R/theta.distn.R | 11 +- demo/Quantshort.R | 15 --- demo/SDS.R | 10 -- inst/doc/Quantshort.R | 5 - inst/doc/Quantshort.Rmd | 12 -- inst/doc/Quantshort.html | 216 +++++++++++++++++++++++------------------------ inst/doc/SDS.R | 5 - inst/doc/SDS.Rmd | 8 - inst/doc/SDS.html | 170 ++++++++++++++++++------------------ man/make.dataList.Rd | 51 +++++------ man/theta.distn.Rd | 4 vignettes/Quantshort.Rmd | 12 -- vignettes/SDS.Rmd | 8 - 19 files changed, 348 insertions(+), 546 deletions(-)
Title: Miscellaneous Functions for Network Analysis
Description: Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>
Diff between netUtils versions 0.8.0 dated 2022-10-08 and 0.8.1 dated 2022-12-19
DESCRIPTION | 6 +++--- MD5 | 7 ++++--- NEWS.md | 4 ++++ R/print_igraph.R | 2 +- inst |only 5 files changed, 12 insertions(+), 7 deletions(-)
Title: Power Logit Regression for Modeling Bounded Data
Description: Power logit regression models for bounded
continuous data, in which the density generator may be normal, Student-t,
power exponential, slash, hyperbolic, sinh-normal, or type II logistic.
Diagnostic tools associated with the fitted model, such as the residuals,
local influence measures, leverage measures, and goodness-of-fit statistics,
are implemented. The estimation process follows the maximum likelihood approach
and, currently, the package supports two types of estimators: the usual maximum
likelihood estimator and the penalized maximum likelihood estimator. More details
about power logit regression models are described in
Queiroz and Ferrari (2022) <arXiv:2202.01697>.
Author: Felipe Queiroz [aut, cre],
Silvia Ferrari [aut]
Maintainer: Felipe Queiroz <ffelipeq@outlook.com>
Diff between PLreg versions 0.2.0 dated 2022-03-30 and 0.3.0 dated 2022-12-19
DESCRIPTION | 10 ++--- MD5 | 12 ++++--- NAMESPACE | 2 + NEWS.md |only R/PLreg.R | 92 ++++++++++++++++++++++++++++++++++++++++++++++++++++--- R/PeruVotes.R | 2 - man/PeruVotes.Rd | 2 - man/sandwich.Rd |only 8 files changed, 103 insertions(+), 17 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-13 1.0
Title: Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap'
Package
Description: Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command, using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data, map projections and continental outlines. Optionally the data can be animated through time using the 'gganmiate' package.
Author: Carson Sievert [aut],
Roy Mendelssohn [aut, ctb, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>
Diff between plotdap versions 1.0.0 dated 2022-10-17 and 1.0.1 dated 2022-12-19
DESCRIPTION | 12 ++++++------ MD5 | 8 ++++---- NEWS.md | 5 +++++ build/vignette.rds |binary inst/doc/using_plotdap.html | 12 ++++++------ 5 files changed, 21 insertions(+), 16 deletions(-)
Title: Electronic Health Record (EHR) Data Processing and Analysis Tool
Description: Process and analyze electronic health record (EHR) data. The 'EHR'
package provides modules to perform diverse medication-related studies using
data from EHR databases. Especially, the package includes modules to perform
pharmacokinetic/pharmacodynamic (PK/PD) analyses using EHRs, as outlined in
Choi, Beck, McNeer, Weeks, Williams, James, Niu, Abou-Khalil, Birdwell, Roden,
Stein, Bejan, Denny, and Van Driest (2020) <doi:10.1002/cpt.1787>. Additional
modules will be added in future. In addition, this package provides various
functions useful to perform Phenome Wide Association Study (PheWAS) to explore
associations between drug exposure and phenotypes obtained from EHR data, as
outlined in Choi, Carroll, Beck, Mosley, Roden, Denny, and Van Driest (2018)
<doi:10.1093/bioinformatics/bty306>.
Author: Leena Choi [aut, cre] ,
Cole Beck [aut] ,
Hannah Weeks [aut] ,
Elizabeth McNeer [aut],
Nathan James [aut] ,
Michael Williams [aut]
Maintainer: Leena Choi <leena.choi@vanderbilt.edu>
Diff between EHR versions 0.4-10 dated 2022-10-11 and 0.4-11 dated 2022-12-19
DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- R/modDrugLevel.R | 2 +- R/modPK.R | 4 ++-- build/vignette.rds |binary inst/doc/ehr_vignette_01_mxr.pdf |binary inst/doc/ehr_vignette_02_str.R | 2 +- inst/doc/ehr_vignette_02_str.Rmd | 2 +- inst/doc/ehr_vignette_02_str.pdf |binary inst/doc/ehr_vignette_03_DoseBuilding.pdf |binary inst/doc/ehr_vignette_04_Build_PK_Oral.pdf |binary man/run_Build_PK_IV.Rd | 2 +- man/run_DrugLevel.Rd | 2 +- vignettes/ehr_vignette_02_str.Rmd | 2 +- 14 files changed, 25 insertions(+), 25 deletions(-)
Title: Modelling of Population Growth
Description: Modelling of population growth under static and dynamic environmental conditions.
Includes functions for model fitting and making prediction under isothermal and
dynamic conditions. The methods (algorithms & models) are based on
predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).
Author: Alberto Garre [aut, cre] ,
Jeroen Koomen [aut],
Heidy den Besten [aut],
Marcel Zwietering [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>
Diff between biogrowth versions 1.0.1 dated 2022-12-02 and 1.0.2 dated 2022-12-19
DESCRIPTION | 6 ++--- MD5 | 14 +++++++----- NEWS.md | 4 +++ build/vignette.rds |binary inst/doc/v03_growth_uncertainty.html | 12 +++++----- inst/doc/v05_custom_stochastic.R |only inst/doc/v05_custom_stochastic.Rmd |only inst/doc/v05_custom_stochastic.html |only inst/doc/v99_deprecated.html | 40 +++++++++++++++++------------------ vignettes/v05_custom_stochastic.Rmd |only 10 files changed, 42 insertions(+), 34 deletions(-)
Title: A 'Bootstrap 4' Version of 'shinydashboard'
Description: Make 'Bootstrap 4' Shiny dashboards. Use the full power
of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4'
<https://github.com/ColorlibHQ/AdminLTE>.
Author: David Granjon [aut, cre],
RinteRface [cph],
Almasaeed Studio [ctb, cph] ,
Winston Chang [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>
Diff between bs4Dash versions 2.1.0 dated 2022-05-05 and 2.2.0 dated 2022-12-19
bs4Dash-2.1.0/bs4Dash/inst/bs4Dash-2.1.0 |only bs4Dash-2.2.0/bs4Dash/DESCRIPTION | 12 bs4Dash-2.2.0/bs4Dash/MD5 | 62 +- bs4Dash-2.2.0/bs4Dash/NAMESPACE | 3 bs4Dash-2.2.0/bs4Dash/NEWS.md | 26 + bs4Dash-2.2.0/bs4Dash/R/dashboardHeader.R | 6 bs4Dash-2.2.0/bs4Dash/R/dashboardPage.R | 21 bs4Dash-2.2.0/bs4Dash/R/dashboardSidebar.R | 29 - bs4Dash-2.2.0/bs4Dash/R/render-functions.R | 34 - bs4Dash-2.2.0/bs4Dash/R/tabs.R | 6 bs4Dash-2.2.0/bs4Dash/R/useful-items.R | 286 ++++++++++++ bs4Dash-2.2.0/bs4Dash/README.md | 1 bs4Dash-2.2.0/bs4Dash/build/bs4Dash.pdf |binary bs4Dash-2.2.0/bs4Dash/build/vignette.rds |binary bs4Dash-2.2.0/bs4Dash/inst/bs4Dash-2.2.0.9000 |only bs4Dash-2.2.0/bs4Dash/inst/doc/bs4Dash.html | 284 +++++++++++- bs4Dash-2.2.0/bs4Dash/inst/doc/css-preloader.html | 230 +++++++++ bs4Dash-2.2.0/bs4Dash/inst/doc/extra-elements.html | 255 +++++++++- bs4Dash-2.2.0/bs4Dash/inst/doc/improved-boxes.html | 335 +++++++++++--- bs4Dash-2.2.0/bs4Dash/inst/doc/more-skins.html | 255 +++++++++- bs4Dash-2.2.0/bs4Dash/inst/doc/step-by-step.html | 397 +++++++++++++++-- bs4Dash-2.2.0/bs4Dash/inst/examples/showcase/app.R | 40 - bs4Dash-2.2.0/bs4Dash/inst/examples/showcase/rsconnect |only bs4Dash-2.2.0/bs4Dash/man/appButton.Rd | 2 bs4Dash-2.2.0/bs4Dash/man/box.Rd | 2 bs4Dash-2.2.0/bs4Dash/man/dashboardSidebar.Rd | 6 bs4Dash-2.2.0/bs4Dash/man/dashboardUser.Rd | 4 bs4Dash-2.2.0/bs4Dash/man/infoBox.Rd | 2 bs4Dash-2.2.0/bs4Dash/man/pagination.Rd |only bs4Dash-2.2.0/bs4Dash/man/renderMenu.Rd | 4 bs4Dash-2.2.0/bs4Dash/man/valueBox.Rd | 36 - 31 files changed, 2021 insertions(+), 317 deletions(-)
Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>,
an open source software library for numerical computation using data
flow graphs. Nodes in the graph represent mathematical operations,
while the graph edges represent the multidimensional data arrays
(tensors) communicated between them. The flexible architecture allows
you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop,
server, or mobile device with a single 'API'. 'TensorFlow' was originally
developed by researchers and engineers working on the Google Brain Team
within Google's Machine Intelligence research organization for the
purposes of conducting machine learning and deep neural networks research,
but the system is general enough to be applicable in a wide variety
of other domains as well.
Author: Daniel Falbel [ctb, cph],
JJ Allaire [aut, cph],
RStudio [cph, fnd],
Yuan Tang [aut, cph] ,
Dirk Eddelbuettel [ctb, cph],
Nick Golding [ctb, cph],
Tomasz Kalinowski [ctb, cph, cre],
Google Inc. [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@rstudio.com>
Diff between tensorflow versions 2.9.0 dated 2022-05-21 and 2.11.0 dated 2022-12-19
DESCRIPTION | 8 ++++---- MD5 | 26 ++++++++++++++------------ NAMESPACE | 4 ++++ NEWS.md | 14 ++++++++++++++ R/data-structures.R |only R/generics.R | 17 ++++++++++++----- R/install.R | 5 +---- R/package.R | 4 ++-- R/shape.R | 14 ++++++++++++-- man/as_tensor.Rd | 9 +++++---- man/install_tensorflow.Rd | 2 +- man/shape.Rd | 5 +++++ man/tf_extract_opts.Rd | 6 ++---- tests/testthat/test-data-structures.R |only tests/testthat/test-shape.R | 6 ++++++ 15 files changed, 82 insertions(+), 38 deletions(-)
Title: A k-Nearest Neighbours Ensemble via Optimal Model Selection for
Regression
Description: Optimal k Nearest Neighbours Ensemble is an ensemble of base k nearest neighbour models each constructed on a bootstrap sample with a random subset of features. k closest observations are identified for a test point "x" (say), in each base k nearest neighbour model to fit a stepwise regression to predict the output value of "x". The final predicted value of "x" is the mean of estimates given by all the models. The implemented model takes training and test datasets and trains the model on training data to predict the test data. Ali, A., Hamraz, M., Kumam, P., Khan, D.M., Khalil, U., Sulaiman, M. and Khan, Z. (2020) <DOI:10.1109/ACCESS.2020.3010099>.
Author: Amjad Ali [aut, cre, cph],
Zardad Khan [aut, ths],
Muhammad Hamraz [aut]
Maintainer: Amjad Ali <aalistat1@gmail.com>
Diff between OkNNE versions 1.0.0 dated 2020-08-13 and 1.0.1 dated 2022-12-19
DESCRIPTION | 9 +- MD5 | 4 - man/OKNNE.Rd | 190 +++++++++++++++++++++++++++++------------------------------ 3 files changed, 101 insertions(+), 102 deletions(-)
Title: MAnifold-Constrained Gaussian Process Inference
Description: Provides fast and accurate inference for the parameter estimation problem in Ordinary Differential
Equations, including the case when there are unobserved system components. Implements the MAGI method
(MAnifold-constrained Gaussian process Inference) of Yang, Wong, and Kou (2021) <doi:10.1073/pnas.2020397118>.
Author: Shihao Yang [aut, cre] ,
Samuel W.K. Wong [aut] ,
S.C. Kou [ctb, cph]
Maintainer: Shihao Yang <shihao.yang@isye.gatech.edu>
Diff between magi versions 1.2.0 dated 2022-08-29 and 1.2.1 dated 2022-12-19
DESCRIPTION | 8 +-- MD5 | 34 ++++++++-------- R/RcppExports.R | 12 ++--- R/wrapper.R | 20 ++++++++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/magi-vignette.html | 18 ++++---- man/MagiSolver.Rd | 8 ++- src/MagiMain.cpp | 6 ++ src/MagiSolver.cpp | 75 ++++++++++++++++++++++--------------- src/MagiSolver.h | 8 ++- src/RcppExports.cpp | 33 +++++++++------- src/RcppWrapper.cpp | 4 + src/RcppsolveMagi.cpp | 6 ++ src/Sampler.cpp | 13 +++++- src/Sampler.h | 4 + tests/testthat/test_chainSampler.R | 2 tests/testthat/test_main.R | 8 +++ 18 files changed, 166 insertions(+), 93 deletions(-)
Title: Algorithms for Finding Fixed Point Vectors of Functions
Description: For functions that take and return vectors (or scalars), this package provides 8 algorithms for finding fixed point vectors (vectors for which the inputs and outputs to the function are the same vector). These algorithms include Anderson (1965) acceleration <doi:10.1145/321296.321305>, epsilon extrapolation methods (Wynn 1962 <doi:10.2307/2004051>) and minimal polynomial methods (Cabay and Jackson 1976 <doi:10.1137/0713060>).
Author: Stuart Baumann & Margaryta Klymak
Maintainer: Stuart Baumann <Stuart@StuartBaumann.com>
Diff between FixedPoint versions 0.6.2 dated 2021-09-13 and 0.6.3 dated 2022-12-19
DESCRIPTION | 8 ++++---- MD5 | 13 +++++++------ R/MainFunctions.R | 14 +++++++------- build/vignette.rds |binary inst/doc/FixedPoint.pdf |binary man/FixedPoint.Rd | 4 +++- tests/testthat/Rplots.pdf |binary tests/testthat/test_previous_bugs.R |only 8 files changed, 21 insertions(+), 18 deletions(-)
Title: A k Nearest Neibour Ensemble Based on Extended Neighbourhood
Rule
Description: The extended neighbourhood rule for the k nearest neighbour ensemble where the neighbours are determined in k steps. Starting from the first nearest observation of the test point, the algorithm identifies a single observation that is closest to the observation at the previous step. At each base learner in the ensemble, this search is extended to k steps on a random bootstrap sample with a random subset of features selected from the feature space. The final predicted class of the test point is determined by using a majority vote in the predicted classes given by all base models. Amjad Ali, Muhammad Hamraz, Naz Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan (2022) <doi:10.48550/arXiv.2205.15111>.
Author: Amjad Ali [aut, cre, cph],
Muhammad Hamraz [aut],
Saeed Aldahmani [aut],
Zardad Khan [aut]
Maintainer: Amjad Ali <Amjad.ali@awkum.edu.pk>
Diff between ExNRuleEnsemble versions 0.1.0 dated 2022-12-14 and 0.1.1 dated 2022-12-19
DESCRIPTION | 6 +++--- MD5 | 4 ++-- man/ExNRule.Rd | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-)
More information about ExNRuleEnsemble at CRAN
Permanent link
Title: Custom Components for Shiny Applications
Description: Provides useful UI components and input widgets for 'Shiny'
applications. The offered components allow to apply non-standard
operations and view to your 'Shiny' application, but also help to
overcome common performance issues.
Author: Krystian Igras [cre, aut],
Adam Forys [ctb],
Stephane Laurent [ctb],
Craig Dennis [cph] ,
Daniel Eden [cph]
Maintainer: Krystian Igras <krystian8207@gmail.com>
Diff between shinyGizmo versions 0.3 dated 2022-12-15 and 0.4 dated 2022-12-19
DESCRIPTION | 8 ++-- MD5 | 33 ++++++++--------- NAMESPACE | 2 + NEWS.md | 10 +++++ R/accordion.R | 20 +++++----- R/commonInput.R | 48 +++++++++++++----------- R/conditionalJS.R | 55 ++++++++++++++++------------ R/pickCheckbox.R | 77 ++++++++++++++++++++++++++++++++-------- R/shinyGizmo-package.R | 15 +++++++ R/textArea.R | 35 ++++++++++-------- R/valueButton.R | 31 +++++++++------- README.md | 20 +++++----- inst/www/conditionaljs.js | 9 ++++ inst/www/pickcheckbox.js | 13 ++++-- inst/www/valuebutton.js | 19 +++++++++ man/figures/vscheckboxinput.gif |only man/pickCheckboxInput.Rd | 28 +++++++++++++- man/valueButton.Rd | 14 ++++++- 18 files changed, 304 insertions(+), 133 deletions(-)
Title: Rapidly Estimate Phylogeny from Large Allele Frequency Data
Using Root Distances Method
Description: Rapidly estimates tree-topology from large allele frequency
data using Root Distances Method, under a Brownian Motion Model. See
Jing Peng et al. (2021) <doi:10.1016/j.ympev.2021.107142>.
Author: Arindam RoyChoudhury [aut, cre, cph],
Jing Peng [aut],
Ying Li [aut],
Laura Kubatko [aut, ths]
Maintainer: Arindam RoyChoudhury <arr2014@med.cornell.edu>
Diff between rapidphylo versions 0.1.0 dated 2022-12-01 and 0.1.1 dated 2022-12-19
DESCRIPTION | 6 - MD5 | 16 ++-- NEWS.md | 12 +++ R/RDM.R | 9 -- R/data.R | 8 +- R/multiphylo.R | 118 ++++++++++++++++++------------------ data/Human_Allele_Frequencies.RData |binary man/Human_Allele_Frequencies.Rd | 10 +-- man/RDM.Rd | 4 - 9 files changed, 97 insertions(+), 86 deletions(-)
Title: Dental Surface Complexity Measurement Tools
Description: Surface topography calculations of Dirichlet's normal energy,
relief index, surface slope, and orientation patch count for teeth using scans of
enamel caps.
Importantly, for the relief index and orientation patch count calculations to
work, the scanned tooth files must be oriented with the occlusal plane parallel
to the x and y axes, and perpendicular to the z axis. The files should also be
simplified, and smoothed in some other software prior to uploading into R.
Author: James D. Pampush [aut, cre, cph],
Paul E. Morse [aut, cph],
Alexander Q. Vining [aut, cph],
Edward Fuselier [aut, cph]
Maintainer: James D. Pampush <jdpampush@gmail.com>
Diff between molaR versions 5.1 dated 2022-08-10 and 5.2 dated 2022-12-19
DESCRIPTION | 8 MD5 | 19 + NAMESPACE | 4 R/ARC.R |only R/ARC3d.R |only R/ARC_Legend.R |only build/vignette.rds |binary inst/doc/molaR_vignette.R | 6 inst/doc/molaR_vignette.Rmd | 21 +- inst/doc/molaR_vignette.html | 447 ++++++++++++++++++++++++++++++++++++++----- man/ARC.Rd |only man/ARC3d.Rd |only vignettes/molaR_vignette.Rmd | 21 +- 13 files changed, 463 insertions(+), 63 deletions(-)
Title: Jack, Zonal, and Schur Polynomials
Description: Symbolic calculation and evaluation of the Jack polynomials,
zonal polynomials, and Schur polynomials. Mainly based on Demmel &
Koev's paper (2006) <doi:10.1090/S0025-5718-05-01780-1>. Zonal
polynomials and Schur polynomials are particular cases of Jack
polynomials. Zonal polynomials appear in random matrix theory. Schur
polynomials appear in the field of combinatorics.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Diff between jack versions 3.0.0 dated 2022-03-20 and 4.0.0 dated 2022-12-19
jack-3.0.0/jack/man/ESFpoly.Rd |only jack-3.0.0/jack/man/MSFpoly.Rd |only jack-4.0.0/jack/DESCRIPTION | 27 jack-4.0.0/jack/MD5 | 42 jack-4.0.0/jack/NAMESPACE | 15 jack-4.0.0/jack/NEWS.md | 66 - jack-4.0.0/jack/R/ESF.R | 35 jack-4.0.0/jack/R/MSF.R | 47 - jack-4.0.0/jack/R/Polynomials.R | 1197 +++++++++++++-------------- jack-4.0.0/jack/R/julia.R | 958 ++++++++++----------- jack-4.0.0/jack/README.md | 320 +++---- jack-4.0.0/jack/man/JackPol.Rd | 6 jack-4.0.0/jack/man/Jack_julia.Rd | 10 jack-4.0.0/jack/man/SchurPol.Rd | 2 jack-4.0.0/jack/man/ZonalPol.Rd | 2 jack-4.0.0/jack/man/ZonalQPol.Rd | 2 jack-4.0.0/jack/man/prettyForm.Rd | 2 jack-4.0.0/jack/man/toLaTeX.Rd | 2 jack-4.0.0/jack/tests/testthat/test-jack.R | 339 +++---- jack-4.0.0/jack/tests/testthat/test-julia.R | 136 +-- jack-4.0.0/jack/tests/testthat/test-schur.R | 215 ++-- jack-4.0.0/jack/tests/testthat/test-zonal.R | 189 +--- jack-4.0.0/jack/tests/testthat/test-zonalQ.R | 153 +-- 23 files changed, 1819 insertions(+), 1946 deletions(-)
Title: Interlinear Glossed Linguistic Examples and Abbreviation Lists
Generation
Description: Helps to render interlinear glossed linguistic examples in html
'rmarkdown' documents and then semi-automatically compiles the list of
glosses at the end of the document. It also provides a database of linguistic
glosses.
Author: George Moroz [aut, cre]
Maintainer: George Moroz <agricolamz@gmail.com>
Diff between lingglosses versions 0.0.5 dated 2022-11-20 and 0.0.6 dated 2022-12-19
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS.md | 5 +++++ inst/rmarkdown/templates/lingglosses-document/skeleton/skeleton.Rmd | 2 +- 4 files changed, 13 insertions(+), 8 deletions(-)
Title: Double Generalized Linear Models
Description: Model fitting and evaluation tools for double generalized linear
models (DGLMs). This class of models uses one generalized linear model (GLM)
to fit the specified response and a second GLM to fit the deviance of the first
model.
Author: Gordon Smyth, Peter K Dunn <pdunn2@usc.edu.au>, Robert W. Corty
Maintainer: Gordon Smyth <smyth@wehi.edu.au>
Diff between dglm versions 1.8.4 dated 2020-11-05 and 1.8.5 dated 2022-12-19
dglm-1.8.4/dglm/tests/TestFunc.R |only dglm-1.8.4/dglm/tests/test1.R |only dglm-1.8.5/dglm/ChangeLog | 111 ++++++++++++++++++++------------- dglm-1.8.5/dglm/DESCRIPTION | 13 ++- dglm-1.8.5/dglm/MD5 | 34 +++++----- dglm-1.8.5/dglm/NAMESPACE | 16 ++-- dglm-1.8.5/dglm/R/anova.dglm.R | 6 - dglm-1.8.5/dglm/R/dglm.R | 38 +++++------ dglm-1.8.5/dglm/R/dglm.constant.R | 4 - dglm-1.8.5/dglm/R/print.summary.dglm.R | 4 - dglm-1.8.5/dglm/R/residuals.dglm.R | 16 ---- dglm-1.8.5/dglm/R/summary.dglm.R | 19 ++--- dglm-1.8.5/dglm/man/anova.dglm.Rd | 36 +++++----- dglm-1.8.5/dglm/man/dglm.Rd | 30 ++++---- dglm-1.8.5/dglm/man/dglm.control.Rd | 2 dglm-1.8.5/dglm/man/dglm.object.Rd | 16 ++-- dglm-1.8.5/dglm/man/residuals.dglm.Rd | 20 +++-- dglm-1.8.5/dglm/man/summary.dglm.Rd | 17 ++--- dglm-1.8.5/dglm/tests/Tests.R |only dglm-1.8.5/dglm/tests/Tests.Rout |only 20 files changed, 202 insertions(+), 180 deletions(-)
Title: Permutation Tests for Randomization Model
Description: Perform permutation-based hypothesis testing for randomized
experiments as described in Ernst (2004) <doi:10.1214/088342304000000396>
and Manly (2007) <isbn:978-1-58488-541-2>.
Author: Duy Nghia Pham [aut, cre] ,
Inna M. Sokolova [ths]
Maintainer: Duy Nghia Pham <nghiapham@yandex.com>
Diff between peramo versions 0.1.0 dated 2022-08-10 and 0.1.1 dated 2022-12-19
DESCRIPTION | 16 ++++++++++------ MD5 | 32 +++++++++++++++++++++++++------- NAMESPACE | 8 ++++++++ R/AB.R |only R/copper-data.R |only R/diffcalc.R |only R/ensulizole-data.R |only R/nolesser.R |only R/owl.R | 12 +++++++----- R/peramo-package.R | 8 +++++--- R/twl.R |only R/twlStat.R |only build/partial.rdb |binary data |only inst |only man/AB.Rd |only man/copper.Rd |only man/diffcalc.Rd |only man/ensulizole.Rd |only man/figures |only man/nolesser.Rd |only man/owl.Rd | 4 +++- man/peramo-package.Rd | 5 +++-- man/twl.Rd |only man/twlStat.Rd |only 25 files changed, 61 insertions(+), 24 deletions(-)
Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre]
Maintainer: David Hodge <davidhodge931@gmail.com>
Diff between ggblanket versions 1.6.0 dated 2022-11-18 and 1.6.2 dated 2022-12-19
DESCRIPTION | 12 +-- MD5 | 148 ++++++++++++++++++++++++------------------------ NEWS.md | 13 ++++ R/gg_area.R | 47 +++++---------- R/gg_bar.R | 25 ++------ R/gg_bin2d.R | 25 ++------ R/gg_blank.R | 61 ++++++++++++------- R/gg_boxplot.R | 25 ++------ R/gg_col.R | 25 ++------ R/gg_crossbar.R | 25 ++------ R/gg_density.R | 25 ++------ R/gg_errorbar.R | 25 ++------ R/gg_freqpoly.R | 25 ++------ R/gg_function.R | 25 ++------ R/gg_hex.R | 25 ++------ R/gg_histogram.R | 25 ++------ R/gg_jitter.R | 25 ++------ R/gg_label.R | 25 ++------ R/gg_line.R | 25 ++------ R/gg_linerange.R | 25 ++------ R/gg_path.R | 25 ++------ R/gg_point.R | 25 ++------ R/gg_pointrange.R | 25 ++------ R/gg_polygon.R | 25 ++------ R/gg_qq.R | 25 ++------ R/gg_raster.R | 44 +++++++------- R/gg_rect.R | 25 ++------ R/gg_ribbon.R | 25 ++------ R/gg_segment.R | 25 ++------ R/gg_sf.R | 52 ++++++++++------ R/gg_smooth.R | 25 ++------ R/gg_step.R | 25 ++------ R/gg_text.R | 25 ++------ R/gg_theme.R | 13 ---- R/gg_tile.R | 25 ++------ R/gg_violin.R | 25 ++------ R/utils.R |only build/vignette.rds |binary inst/doc/ggblanket.R | 3 inst/doc/ggblanket.Rmd | 3 inst/doc/ggblanket.html | 130 +++++++++++++++++++++--------------------- man/gg_area.Rd | 26 +++----- man/gg_bar.Rd | 2 man/gg_bin2d.Rd | 2 man/gg_blank.Rd | 5 + man/gg_boxplot.Rd | 2 man/gg_col.Rd | 2 man/gg_crossbar.Rd | 2 man/gg_density.Rd | 2 man/gg_errorbar.Rd | 2 man/gg_freqpoly.Rd | 2 man/gg_function.Rd | 2 man/gg_hex.Rd | 2 man/gg_histogram.Rd | 2 man/gg_jitter.Rd | 2 man/gg_label.Rd | 2 man/gg_line.Rd | 2 man/gg_linerange.Rd | 2 man/gg_path.Rd | 2 man/gg_point.Rd | 2 man/gg_pointrange.Rd | 2 man/gg_polygon.Rd | 2 man/gg_qq.Rd | 2 man/gg_raster.Rd | 13 ++-- man/gg_rect.Rd | 2 man/gg_ribbon.Rd | 2 man/gg_segment.Rd | 2 man/gg_sf.Rd | 5 + man/gg_smooth.Rd | 2 man/gg_step.Rd | 2 man/gg_text.Rd | 2 man/gg_theme.Rd | 5 - man/gg_tile.Rd | 2 man/gg_violin.Rd | 2 man/na_if_double.Rd |only vignettes/ggblanket.Rmd | 3 76 files changed, 589 insertions(+), 750 deletions(-)
Title: Image Processing Library Based on 'CImg'
Description: Fast image processing for images in up to 4 dimensions (two spatial
dimensions, one time/depth dimension, one colour dimension). Provides most
traditional image processing tools (filtering, morphology, transformations,
etc.) as well as various functions for easily analysing image data using R. The
package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image
processing.
Author: Simon Barthelme [aut],
David Tschumperle [ctb],
Jan Wijffels [ctb],
Haz Edine Assemlal [ctb],
Shota Ochi [cre]
Maintainer: Shota Ochi <shotaochi1990@gmail.com>
Diff between imager versions 0.42.15 dated 2022-12-18 and 0.42.16 dated 2022-12-19
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- inst/doc/gettingstarted.html | 6 +++--- inst/doc/pixsets.html | 4 ++-- inst/include/CImg.h | 10 ---------- 5 files changed, 12 insertions(+), 22 deletions(-)
Title: Functions for University of Auckland Course STATS 201/208 Data
Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at
the University of Auckland. The functions are designed to make parts of R more
accessible to a large undergraduate population who are mostly not statistics
majors.
Author: Brant Deppa [aut] ,
James Curran [aut, cre] ,
Russell Millar [ctb],
Ben Stevenson [ctb],
Andrew Balemi [ctb],
Chris Wild [ctb],
Sophie Jones [ctb],
Dineika Chandra [ctr],
Brendan McArdle [ctr]
Maintainer: James Curran <j.curran@auckland.ac.nz>
Diff between s20x versions 3.1-31 dated 2021-08-23 and 3.1-32 dated 2022-12-19
s20x-3.1-31/s20x/R/modcheck.R |only s20x-3.1-31/s20x/man/modcheck.Rd |only s20x-3.1-32/s20x/DESCRIPTION | 59 ++++++++++++++++++++++++++----- s20x-3.1-32/s20x/MD5 | 54 ++++++++++++++-------------- s20x-3.1-32/s20x/NAMESPACE | 5 +- s20x-3.1-32/s20x/R/eovcheck.R | 9 +++- s20x-3.1-32/s20x/R/modelcheck.R |only s20x-3.1-32/s20x/R/normcheck.R | 5 +- s20x-3.1-32/s20x/R/pairs20x.R | 4 +- s20x-3.1-32/s20x/R/rowdistr.r | 4 +- s20x-3.1-32/s20x/R/s20x-package.R | 1 s20x-3.1-32/s20x/R/src-package.R | 34 ++++++----------- s20x-3.1-32/s20x/man/boxqq.Rd | 4 +- s20x-3.1-32/s20x/man/butterfat.df.Rd | 4 +- s20x-3.1-32/s20x/man/crossFactors.Rd | 6 +-- s20x-3.1-32/s20x/man/eovcheck.Rd | 6 +-- s20x-3.1-32/s20x/man/fire.df.Rd | 2 - s20x-3.1-32/s20x/man/fruitfly.df.Rd | 4 +- s20x-3.1-32/s20x/man/house.df.Rd | 4 +- s20x-3.1-32/s20x/man/incomes.df.Rd | 2 - s20x-3.1-32/s20x/man/interactionPlots.Rd | 6 +-- s20x-3.1-32/s20x/man/modelcheck.Rd |only s20x-3.1-32/s20x/man/normcheck.Rd | 6 +-- s20x-3.1-32/s20x/man/onewayPlot.Rd | 8 ++-- s20x-3.1-32/s20x/man/skulls.df.Rd | 4 +- s20x-3.1-32/s20x/man/stripqq.Rd | 4 +- s20x-3.1-32/s20x/man/summaryStats.Rd | 8 ++-- s20x-3.1-32/s20x/man/technitron.df.Rd | 2 - s20x-3.1-32/s20x/man/trendscatter.Rd | 6 +-- s20x-3.1-32/s20x/man/zoo.df.Rd | 2 - 30 files changed, 148 insertions(+), 105 deletions(-)
Title: Build a Metric Subspaces Data Model for a Data Source
Description: Neural networks are applied to create a density value function which approximates density values for a data source. The trained neural network is analyzed for different levels. For each level metric subspaces with density values above a level are determined. The obtained set of metric subspaces and the trained neural network are assembled into a data model. A prerequisite is the definition of a data source, the generation of generative data and the calculation of density values. These tasks are executed using package 'ganGenerativeData' <https://cran.r-project.org/package=ganGenerativeData>.
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Diff between ganDataModel versions 1.0.2 dated 2022-07-16 and 1.1.1 dated 2022-12-19
ganDataModel-1.0.2/ganDataModel/R/dmBuildSubspaces.R |only ganDataModel-1.0.2/ganDataModel/R/dmPlotSubspaces.R |only ganDataModel-1.0.2/ganDataModel/man/dmBuildSubspaces.Rd |only ganDataModel-1.0.2/ganDataModel/man/dmGetAssignedSubspaces.Rd |only ganDataModel-1.0.2/ganDataModel/man/dmGetNumberOfSubspaces.Rd |only ganDataModel-1.0.2/ganDataModel/man/dmPlotEvaluate.Rd |only ganDataModel-1.0.2/ganDataModel/man/dmPlotGenerativeDataParameters.Rd |only ganDataModel-1.0.2/ganDataModel/man/dmPlotSubspaceParameters.Rd |only ganDataModel-1.0.2/ganDataModel/man/dmPlotSubspaces.Rd |only ganDataModel-1.0.2/ganDataModel/man/dmRemoveSubspaces.Rd |only ganDataModel-1.0.2/ganDataModel/man/figures/dm12dl67s1.png |only ganDataModel-1.0.2/ganDataModel/man/figures/dm12dl735s1.png |only ganDataModel-1.0.2/ganDataModel/man/figures/dm12dl735s3.png |only ganDataModel-1.0.2/ganDataModel/man/figures/dm12dl735s4.png |only ganDataModel-1.0.2/ganDataModel/man/figures/dm34dl67s1.png |only ganDataModel-1.0.2/ganDataModel/man/figures/dm34dl735s1.png |only ganDataModel-1.0.2/ganDataModel/man/figures/dm34dl735s3.png |only ganDataModel-1.0.2/ganDataModel/man/figures/dm34dl735s4.png |only ganDataModel-1.0.2/ganDataModel/src/volumeElementSubspace.h |only ganDataModel-1.1.1/ganDataModel/DESCRIPTION | 12 ganDataModel-1.1.1/ganDataModel/MD5 | 73 +- ganDataModel-1.1.1/ganDataModel/NAMESPACE | 16 ganDataModel-1.1.1/ganDataModel/R/RcppExports.R | 46 - ganDataModel-1.1.1/ganDataModel/R/dmBuildMetricSubspaces.R |only ganDataModel-1.1.1/ganDataModel/R/dmEvaluate.R | 14 ganDataModel-1.1.1/ganDataModel/R/dmPlotMetricSubspaces.R |only ganDataModel-1.1.1/ganDataModel/R/dmTrain.R | 6 ganDataModel-1.1.1/ganDataModel/man/dmBuildMetricSubspaces.Rd |only ganDataModel-1.1.1/ganDataModel/man/dmCalculateDensityValue.Rd | 6 ganDataModel-1.1.1/ganDataModel/man/dmGetContainedInMetricSubspaces.Rd |only ganDataModel-1.1.1/ganDataModel/man/dmGetLevels.Rd | 4 ganDataModel-1.1.1/ganDataModel/man/dmGetMetricSubspaceProperties.Rd |only ganDataModel-1.1.1/ganDataModel/man/dmPlotEvaluateDataSourceParameters.Rd | 10 ganDataModel-1.1.1/ganDataModel/man/dmPlotMetricSubspaceParameters.Rd |only ganDataModel-1.1.1/ganDataModel/man/dmPlotMetricSubspaces.Rd |only ganDataModel-1.1.1/ganDataModel/man/dmRead.Rd | 6 ganDataModel-1.1.1/ganDataModel/man/dmRemoveMetricSubspaces.Rd |only ganDataModel-1.1.1/ganDataModel/man/dmTrain.Rd | 4 ganDataModel-1.1.1/ganDataModel/man/figures/dm12.png |only ganDataModel-1.1.1/ganDataModel/man/figures/dm12c.png |only ganDataModel-1.1.1/ganDataModel/man/figures/dm34.png |only ganDataModel-1.1.1/ganDataModel/man/figures/dm34c.png |only ganDataModel-1.1.1/ganDataModel/man/ganDataModel-package.Rd | 126 +--- ganDataModel-1.1.1/ganDataModel/src/RcppExports.cpp | 93 ++ ganDataModel-1.1.1/ganDataModel/src/dataModel.h | 201 +++++- ganDataModel-1.1.1/ganDataModel/src/dataSource.h | 13 ganDataModel-1.1.1/ganDataModel/src/dmInt.cpp | 314 ++++++---- ganDataModel-1.1.1/ganDataModel/src/generativeData.h | 2 ganDataModel-1.1.1/ganDataModel/src/metricSubspace.h |only ganDataModel-1.1.1/ganDataModel/src/metricSubspaceRelation.h |only ganDataModel-1.1.1/ganDataModel/src/normalizeData.h | 21 ganDataModel-1.1.1/ganDataModel/src/volumeElement.h | 22 ganDataModel-1.1.1/ganDataModel/src/volumeElementGraph.h | 288 ++++----- ganDataModel-1.1.1/ganDataModel/src/vpTree.h | 170 +++-- 54 files changed, 878 insertions(+), 569 deletions(-)
Title: Generic Reproducible Parallel Backend for 'foreach' Loops
Description: Provides functions to perform
reproducible parallel foreach loops, using independent
random streams as generated by L'Ecuyer's combined
multiple-recursive generator [L'Ecuyer (1999), <DOI:10.1287/opre.47.1.159>].
It enables to easily convert standard %dopar% loops into
fully reproducible loops, independently of the number
of workers, the task scheduling strategy, or the chosen
parallel environment and associated foreach backend.
Author: Renaud Gaujoux [aut, cre]
Maintainer: ORPHANED
Diff between doRNG versions 1.8.2 dated 2020-01-27 and 1.8.3 dated 2022-12-19
doRNG-1.8.2/doRNG/build |only doRNG-1.8.2/doRNG/inst/doc/doRNG.R |only doRNG-1.8.2/doRNG/inst/doc/doRNG.Rnw |only doRNG-1.8.2/doRNG/vignettes |only doRNG-1.8.3/doRNG/DESCRIPTION | 15 +++++++-------- doRNG-1.8.3/doRNG/MD5 | 8 ++------ doRNG-1.8.3/doRNG/NEWS | 9 +++++++++ 7 files changed, 18 insertions(+), 14 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-11 1.1.6
2020-05-26 1.1.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-23 0.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-10 0.4.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-06-22 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-03-04 0.9.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-04-08 1.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-10 2.0.1
2020-03-21 2.0.0
2019-03-25 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-11-30 0.4.1
2019-02-08 0.1.0