Title: Convenience Functions for Package 'lavaan'
Description: Affords an alternative, vector-based syntax to 'lavaan', as well as other
convenience functions such as naming paths and defining indirect
links automatically, in addition to convenience formatting optimized
for a publication and script sharing workflow.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>
Diff between lavaanExtra versions 0.1.3 dated 2022-10-04 and 0.1.4 dated 2023-02-04
lavaanExtra-0.1.3/lavaanExtra/R/save_as_x.R |only lavaanExtra-0.1.3/lavaanExtra/man/save_as_x.Rd |only lavaanExtra-0.1.3/lavaanExtra/tests/testthat/test-save_as_x.R |only lavaanExtra-0.1.4/lavaanExtra/DESCRIPTION | 14 lavaanExtra-0.1.4/lavaanExtra/MD5 | 114 - lavaanExtra-0.1.4/lavaanExtra/NAMESPACE | 26 lavaanExtra-0.1.4/lavaanExtra/NEWS.md | 17 lavaanExtra-0.1.4/lavaanExtra/R/cfa_fit_plot.R | 160 +- lavaanExtra-0.1.4/lavaanExtra/R/lavaan_cov.R | 96 - lavaanExtra-0.1.4/lavaanExtra/R/lavaan_ind.R | 106 - lavaanExtra-0.1.4/lavaanExtra/R/lavaan_reg.R | 86 - lavaanExtra-0.1.4/lavaanExtra/R/nice_fit.R | 96 - lavaanExtra-0.1.4/lavaanExtra/R/nice_lavaanPlot.R | 104 - lavaanExtra-0.1.4/lavaanExtra/R/nice_tidySEM.R | 267 +-- lavaanExtra-0.1.4/lavaanExtra/R/write_lavaan.R | 316 ++-- lavaanExtra-0.1.4/lavaanExtra/R/zzz.R | 18 lavaanExtra-0.1.4/lavaanExtra/README.md | 719 +++++---- lavaanExtra-0.1.4/lavaanExtra/build/vignette.rds |binary lavaanExtra-0.1.4/lavaanExtra/inst/CITATION |only lavaanExtra-0.1.4/lavaanExtra/inst/doc/example.Rmd | 760 +++++----- lavaanExtra-0.1.4/lavaanExtra/inst/doc/example.html | 129 - lavaanExtra-0.1.4/lavaanExtra/inst/doc/fullworkflow.R | 16 lavaanExtra-0.1.4/lavaanExtra/inst/doc/fullworkflow.Rmd | 17 lavaanExtra-0.1.4/lavaanExtra/inst/doc/fullworkflow.html | 534 +++---- lavaanExtra-0.1.4/lavaanExtra/inst/doc/indirect.Rmd | 672 ++++---- lavaanExtra-0.1.4/lavaanExtra/inst/doc/indirect.html | 159 +- lavaanExtra-0.1.4/lavaanExtra/inst/doc/regression.Rmd | 74 lavaanExtra-0.1.4/lavaanExtra/inst/doc/regression.html | 165 +- lavaanExtra-0.1.4/lavaanExtra/inst/doc/special.Rmd | 64 lavaanExtra-0.1.4/lavaanExtra/inst/doc/special.html | 111 - lavaanExtra-0.1.4/lavaanExtra/inst/doc/test.Rmd | 48 lavaanExtra-0.1.4/lavaanExtra/inst/doc/test.html | 115 - lavaanExtra-0.1.4/lavaanExtra/man/cfa_fit_plot.Rd | 156 +- lavaanExtra-0.1.4/lavaanExtra/man/figures/README-cfa2-1.png |binary lavaanExtra-0.1.4/lavaanExtra/man/figures/README-indirect2-1.png |binary lavaanExtra-0.1.4/lavaanExtra/man/figures/README-path2-1.png |binary lavaanExtra-0.1.4/lavaanExtra/man/figures/semplot2.png |only lavaanExtra-0.1.4/lavaanExtra/man/lavaan_cov.Rd | 110 - lavaanExtra-0.1.4/lavaanExtra/man/lavaan_ind.Rd | 119 - lavaanExtra-0.1.4/lavaanExtra/man/lavaan_reg.Rd | 100 - lavaanExtra-0.1.4/lavaanExtra/man/nice_fit.Rd | 113 - lavaanExtra-0.1.4/lavaanExtra/man/nice_lavaanPlot.Rd | 138 - lavaanExtra-0.1.4/lavaanExtra/man/nice_tidySEM.Rd | 204 +- lavaanExtra-0.1.4/lavaanExtra/man/write_lavaan.Rd | 172 +- lavaanExtra-0.1.4/lavaanExtra/tests/testthat.R | 24 lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-cfa_fit_plot.R | 109 - lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-lavaan_cov.R | 60 lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-lavaan_ind.R | 62 lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-lavaan_reg.R | 62 lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-nice_fit.R | 45 lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-nice_lavaanPlot.R | 130 - lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-nice_tidySEM.R | 234 +-- lavaanExtra-0.1.4/lavaanExtra/tests/testthat/test-write_lavaan.R | 592 +++---- lavaanExtra-0.1.4/lavaanExtra/tests/testthat/testthat-problems.rds |only lavaanExtra-0.1.4/lavaanExtra/vignettes/example.Rmd | 760 +++++----- lavaanExtra-0.1.4/lavaanExtra/vignettes/fullworkflow.Rmd | 17 lavaanExtra-0.1.4/lavaanExtra/vignettes/images/fullworkflow/holzinger_model.png |binary lavaanExtra-0.1.4/lavaanExtra/vignettes/indirect.Rmd | 672 ++++---- lavaanExtra-0.1.4/lavaanExtra/vignettes/regression.Rmd | 74 lavaanExtra-0.1.4/lavaanExtra/vignettes/special.Rmd | 64 lavaanExtra-0.1.4/lavaanExtra/vignettes/test.Rmd | 48 61 files changed, 4605 insertions(+), 4463 deletions(-)
Title: Estimation and Simulation of Drifting Semi-Markov Models
Description: Performs parametric and non-parametric estimation and simulation of
drifting semi-Markov processes. The definition of parametric and non-parametric
model specifications is also possible. Furthermore, three different types of
drifting semi-Markov models are considered. These models differ in the number
of transition matrices and sojourn time distributions used for the computation
of a number of semi-Markov kernels, which in turn characterize the drifting
semi-Markov kernel. For the parametric model estimation and specification,
several discrete distributions are considered for the sojourn times: Uniform,
Poisson, Geometric, Discrete Weibull and Negative Binomial. The non-parametric
model specification makes no assumptions about the shape of the sojourn time
distributions. Semi-Markov models are described in:
Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>.
Drifting Markov models are described in:
Vergne, N. (2008) <doi:10.2202/1544-6115.1326>.
Reliability ind [...truncated...]
Author: Vlad Stefan Barbu [aut] ,
Ioannis Mavrogiannis [aut, cre],
Nicolas Vergne [aut]
Maintainer: Ioannis Mavrogiannis <mavrogiannis.ioa@gmail.com>
Diff between dsmmR versions 0.0.96 dated 2022-11-16 and 1.0.1 dated 2023-02-04
DESCRIPTION | 18 ++-- MD5 | 33 ++++---- NEWS.md |only R/dsmmR-package.R | 86 ++++++++++++---------- R/fitmodel.R | 145 ++++++++++++++++++++----------------- R/generic_functions.R | 156 +++++++++++++++++++++------------------- R/nonparametric.R | 28 +++---- R/parametric.R | 30 +++---- R/parametric_estimation.R | 6 - R/utils.R | 37 ++++----- README.md | 178 ++++++++++++++++++++++++++++++++++++++++++++-- man/create_sequence.Rd | 4 - man/dsmmR-package.Rd | 84 ++++++++++++--------- man/fit_dsmm.Rd | 82 +++++++++++---------- man/get_kernel.Rd | 38 ++++----- man/nonparametric_dsmm.Rd | 28 +++---- man/parametric_dsmm.Rd | 28 +++---- man/simulate.dsmm.Rd | 19 ++-- 18 files changed, 612 insertions(+), 388 deletions(-)
Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information see Sparapani, Spanbauer and McCulloch <doi:10.18637/jss.v097.i01>.
Author: Robert McCulloch [aut],
Rodney Sparapani [aut, cre],
Charles Spanbauer [aut],
Robert Gramacy [aut],
Matthew Pratola [aut],
Martyn Plummer [ctb],
Nicky Best [ctb],
Kate Cowles [ctb],
Karen Vines [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>
Diff between BART versions 2.9 dated 2021-01-05 and 2.9.3 dated 2023-02-04
BART-2.9.3/BART/DESCRIPTION | 8 +-- BART-2.9.3/BART/MD5 | 48 ++++++++----------- BART-2.9.3/BART/NEWS | 12 ++++ BART-2.9.3/BART/R/recur.pwbart.R | 2 BART-2.9.3/BART/R/surv.pre.bart.R | 60 +++++++++++++++++++----- BART-2.9.3/BART/build/vignette.rds |binary BART-2.9.3/BART/data/ACTG175.rda |binary BART-2.9.3/BART/data/alligator.rda |binary BART-2.9.3/BART/data/arq.rda |binary BART-2.9.3/BART/data/bladder.rda |binary BART-2.9.3/BART/data/leukemia.rda |binary BART-2.9.3/BART/data/lung.rda |binary BART-2.9.3/BART/data/transplant.rda |binary BART-2.9.3/BART/data/xdm20.test.rda |binary BART-2.9.3/BART/data/xdm20.train.rda |binary BART-2.9.3/BART/data/ydm20.test.rda |binary BART-2.9.3/BART/data/ydm20.train.rda |binary BART-2.9.3/BART/demo/leuk.R | 9 ++- BART-2.9.3/BART/inst/doc/the-BART-R-package.pdf |binary BART-2.9.3/BART/src/Makevars.in | 8 --- BART-2.9.3/BART/src/Makevars.win | 3 - BART-2.9.3/BART/src/init.c | 2 BART-2.9.3/BART/src/mc_cores_openmp.cpp | 4 - BART-2.9/BART/vignettes/article.pdf |only BART-2.9/BART/vignettes/article.tex |only BART-2.9/BART/vignettes/bart.pdf |only BART-2.9/BART/vignettes/bart.tex |only 27 files changed, 100 insertions(+), 56 deletions(-)
Title: Transforms Institutional Data into Text Files for IPEDS
Automated Import/Upload
Description: Starting from user-supplied institutional data, these scripts
transform, aggregate, and reshape the information to produce
key-value pair data files that are able to be uploaded to IPEDS (Integrated Postsecondary Education Data System)
through their submission portal <https://surveys.nces.ed.gov/ipeds/>. Starting data specifications can be found in the vignettes.
Final files are saved locally to a location of the user's choice.
User-friendly readable files can also be produced for purposes of data review and validation.
Author: Alison Lanski [aut, cre],
Shiloh Fling [aut]
Maintainer: Alison Lanski <alanski@nd.edu>
Diff between IPEDSuploadables versions 2.6.5 dated 2022-12-07 and 2.7.5 dated 2023-02-04
DESCRIPTION | 8 +- MD5 | 84 +++++++++++++-------------- NAMESPACE | 1 NEWS.md | 8 ++ R/create_dummy_data_ef1.R | 15 ++++ R/ef1_students.R | 5 - R/make_ef1_part_H.R |only R/make_gr_part_E.R | 15 +++- R/prep_hr_data_frame.R | 8 ++ R/produce_com_report.R | 3 R/produce_e1d_report.R | 6 - R/produce_ef1_report.R | 21 +++++- R/produce_gr_report.R | 4 - R/produce_hr_report.R | 4 - R/specs_EF1.R | 2 R/zzz.R | 2 build/vignette.rds |binary data/ef1_retention.rda |binary data/ef1_students.rda |binary data/part_outputs.rda |binary data/specs_EF1.rda |binary inst/doc/howto_overall_ipedsuploadables.Rmd | 2 inst/doc/howto_overall_ipedsuploadables.html | 22 ++++--- inst/doc/howto_use_autoformat.html | 19 ++++-- inst/doc/setup_for_fallenrollment.R | 5 - inst/doc/setup_for_fallenrollment.Rmd | 5 - inst/doc/setup_for_fallenrollment.html | 11 +++ inst/doc/setup_for_hr.Rmd | 3 inst/doc/setup_for_hr.html | 9 ++ man/create_dummy_data_ef1.Rd | 4 - man/ef1_students.Rd | 7 +- man/make_ef1_part_H.Rd |only man/produce_com_report.Rd | 3 man/produce_e1d_report.Rd | 4 - man/produce_ef1_report.Rd | 12 +++ man/produce_gr_report.Rd | 4 - man/produce_hr_report.Rd | 4 - man/set_report_path.Rd | 28 ++++----- man/specs_EF1.Rd | 2 man/specs_HR.Rd | 32 +++++----- tests/testthat/test-part-outputs.R | 1 vignettes/howto_overall_ipedsuploadables.Rmd | 2 vignettes/setup_for_fallenrollment.Rmd | 5 - vignettes/setup_for_hr.Rmd | 3 44 files changed, 241 insertions(+), 132 deletions(-)
More information about IPEDSuploadables at CRAN
Permanent link
Title: Genetic Algorithm (GA) for Variable Selection from
High-Dimensional Data
Description: Provides a genetic algorithm for finding variable
subsets in high dimensional data with high prediction performance. The
genetic algorithm can use ordinary least squares (OLS) regression models or
partial least squares (PLS) regression models to evaluate the prediction
power of variable subsets. By supporting different cross-validation
schemes, the user can fine-tune the tradeoff between speed and quality of
the solution.
Author: David Kepplinger
Maintainer: David Kepplinger <david.kepplinger@gmail.com>
Diff between gaselect versions 1.0.11 dated 2022-04-06 and 1.0.21 dated 2023-02-04
DESCRIPTION | 11 +++++------ MD5 | 16 ++++++++-------- configure | 27 ++++++++++++++++----------- configure.ac | 11 ++++++++--- src/Makevars.in | 2 +- src/Makevars.win | 2 +- src/ShuffledSet.h | 20 +++++++++++++------- src/autoconfig.win.h | 4 ++-- src/config.h | 11 ++++++++--- 9 files changed, 62 insertions(+), 42 deletions(-)
Title: Statistical Tools for Topological Data Analysis
Description: Tools for the statistical analysis of persistent homology and for
density clustering. For that, this package provides an R interface for the
efficient algorithms of the C++ libraries 'GUDHI' <https://project.inria.fr/gudhi/software/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements the methods in Fasy et al. (2014) <doi:10.1214/14-AOS1252> and Chazal et al. (2014) <doi:10.1145/2582112.2582128> for analyzing the statistical significance of persistent homology features.
Author: Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria,
David L. Millman, Vincent Rouvreau.
Maintainer: Jisu Kim <jisu.kim@inria.fr>
Diff between TDA versions 1.8.8 dated 2022-10-30 and 1.9 dated 2023-02-04
DESCRIPTION | 12 MD5 | 22 NEWS | 6 inst/doc/article.pdf |binary man/TDA-package.Rd | 4 src/CGAL/GMP/Gmpfr_type.h | 15 src/Makevars | 12 src/boost/container/detail/copy_move_algo.hpp | 827 +++++++++++++++++++++++--- src/boost/container/detail/flat_tree.hpp | 46 - src/boost/container/flat_map.hpp | 31 src/boost/container/vector.hpp | 385 +----------- src/utilities/circular_list.h | 8 12 files changed, 905 insertions(+), 463 deletions(-)
Title: A Tool for Creating Custom Neural Networks in C++ and using Them
in R
Description: Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
Author: Vasilis Nikolaidis [aut, cph, cre]
Maintainer: Vasilis Nikolaidis <vnikolaidis@us.uop.gr>
Diff between nnlib2Rcpp versions 0.1.9 dated 2022-05-26 and 0.1.10 dated 2023-02-04
DESCRIPTION | 6 LICENSE | 4 MD5 | 32 ++-- NAMESPACE | 8 - R/NNClasses.R | 8 - build/partial.rdb |binary build/vignette.rds |binary inst/doc/manual.pdf |binary man/NN-class.Rd | 49 +++++- src/Rcpp_NN_module.cpp | 288 +++++++++++++++++++++++++++++++-------- src/additional_parts.h | 4 src/connection_set.h | 9 - src/layer.h | 358 +++++++++++++++++++++++++++++-------------------- src/nn.cpp | 47 ++++++ src/nn.h | 6 src/nnlib2.h | 4 src/pe.cpp | 2 17 files changed, 572 insertions(+), 253 deletions(-)
Title: Markov Chain Monte Carlo Small Area Estimation
Description: Fit multi-level models with possibly correlated
random effects using Markov Chain Monte Carlo simulation.
Such models allow smoothing over space and time and are useful in,
for example, small area estimation.
Author: Harm Jan Boonstra [aut, cre],
Grzegorz Baltissen [ctb]
Maintainer: Harm Jan Boonstra <hjboonstra@gmail.com>
Diff between mcmcsae versions 0.7.1 dated 2022-09-02 and 0.7.2 dated 2023-02-04
DESCRIPTION | 12 +- MD5 | 89 +++++++-------- NEWS | 18 +++ R/MCMCsim.R | 51 ++++++-- R/MatrixUtils.R | 39 ++---- R/RcppExports.R | 28 +++- R/TMVN_sampler.R | 229 ++++++++++++--------------------------- R/aux_closures.R | 19 +-- R/cholesky.R | 125 +++++++-------------- R/mc_block.R | 7 + R/mc_gen.R | 62 ++++++++-- R/mc_mec.R | 2 R/mc_reg.R | 5 R/modelmatrix.R | 2 R/models.R | 76 +++++-------- R/parallel.R | 5 R/prediction.R | 58 ++++++--- R/samplers.R | 19 +-- build/vignette.rds |binary inst/doc/area_level.html | 195 ++++++++++++++++----------------- inst/doc/linear_weighting.Rmd | 1 inst/doc/linear_weighting.html | 142 ++++++++++++++---------- inst/doc/unit_level.html | 129 ++++++++++------------ man/MCMC-object-conversion.Rd | 13 +- man/MCMCsim.Rd | 8 - man/Matrix-methods.Rd | 3 man/computeDesignMatrix.Rd | 9 - man/correlation.Rd | 5 man/create_TMVN_sampler.Rd | 12 +- man/create_sampler.Rd | 2 man/predict.mcdraws.Rd | 5 src/Makevars | 3 src/Makevars.win | 5 src/RcppExports.cpp | 98 +++++++++++----- src/TN.cpp | 239 +++++++++++++++++++++++++++++++++++++++-- src/c_export.cpp | 6 - src/chMatrix.c | 63 ---------- src/mcmcsae_init.c | 153 +++++++++++++------------- src/speed_ups.cpp | 44 ++++--- src/tabMatrix.cpp | 36 +++--- tests/testthat/test_Cholesky.R | 12 -- tests/testthat/test_Poisson.R | 2 tests/testthat/test_TMVN.R | 45 ++++--- tests/testthat/test_linalg.R | 8 + tests/testthat/test_predict.R |only vignettes/linear_weighting.Rmd | 1 46 files changed, 1149 insertions(+), 936 deletions(-)
Title: R Markdown Templates for Journal of Data Science
Description: Customized R Markdown templates for authoring articles
for Journal of Data Science.
Author: Wenjie Wang [aut, cre] ,
Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>
Diff between jds.rmd versions 0.3.1 dated 2022-07-05 and 0.3.2 dated 2023-02-04
DESCRIPTION | 8 +-- MD5 | 10 +-- NEWS.md | 7 ++ R/draft.R | 20 +++++-- inst/rmarkdown/templates/pdf_article/resources/jdsart.cls | 26 ++++++++-- inst/rmarkdown/templates/pdf_article/resources/template-jdsart.cls.tex | 2 6 files changed, 51 insertions(+), 22 deletions(-)
Title: Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices
Description: Provide a series of functions to conduct a meta analysis of
factor analysis based on co-occurrence matrices. The tool can be used to
solve the factor structure (i.e. inner structure of a construct, or scale)
debate in several disciplines, such as psychology, psychiatry, management,
education so on. References: Shafer (2005) <doi:10.1037/1040-3590.17.3.324>;
Shafer (2006) <doi:10.1002/jclp.20213>; Loeber and Schmaling (1985) <doi:10.1007/BF00910652>.
Author: Xijian Zheng [aut, cre],
Huiyong Fan [aut]
Maintainer: Xijian Zheng <psydreammer@foxmail.com>
Diff between coefa versions 1.0.2 dated 2022-11-18 and 1.0.3 dated 2023-02-04
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 4 ++++ build/partial.rdb |binary build/vignette.rds |binary inst/doc/Introduction.Rmd | 2 +- inst/doc/Introduction.html | 8 ++++---- vignettes/Introduction.Rmd | 2 +- 8 files changed, 21 insertions(+), 17 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-06-06 1.2
2021-06-14 1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-06 0.1.4
2021-03-18 0.1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-06-17 0.3.1
2022-01-21 0.2.0
2021-09-27 0.1.2
Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>.
Author: Hanna Meyer [cre, aut],
Carles Mila [aut],
Marvin Ludwig [aut],
Philipp Otto [ctb],
Jan Linnenbrink [ctb],
Chris Reudenbach [ctb],
Thomas Nauss [ctb],
Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>
Diff between CAST versions 0.7.0 dated 2022-08-24 and 0.7.1 dated 2023-02-04
DESCRIPTION | 16 +- MD5 | 60 +++++----- NAMESPACE | 1 NEWS.md | 11 + R/CreateSpacetimeFolds.R | 2 R/aoa.R | 66 +++++------ R/calibrate_aoa.R | 36 ++++-- R/clustered_sample.R |only R/ffs.R | 14 +- R/nndm.R | 113 +++++++++++++------ R/plot_geodist.R | 72 +++++++++--- R/trainDI.R | 107 ++++++++++++++---- README.md | 16 +- build/partial.rdb |binary inst/doc/cast01-CAST-intro.html | 123 ++++++++++---------- inst/doc/cast02-AOA-tutorial.html | 137 +++++++++++------------ inst/doc/cast03-AOA-parallel.R | 7 - inst/doc/cast03-AOA-parallel.Rmd | 20 --- inst/doc/cast03-AOA-parallel.html | 224 ++++++++++++++++---------------------- inst/doc/cast04-plotgeodist.R | 54 ++------- inst/doc/cast04-plotgeodist.Rmd | 55 ++------- inst/doc/cast04-plotgeodist.html | 169 ++++++++++++++-------------- man/CreateSpacetimeFolds.Rd | 2 man/aoa.Rd | 20 +-- man/calibrate_aoa.Rd | 6 + man/clustered_sample.Rd |only man/ffs.Rd | 4 man/nndm.Rd | 91 +++++++++++---- man/plot_geodist.Rd | 16 +- man/trainDI.Rd | 11 + vignettes/cast03-AOA-parallel.Rmd | 20 --- vignettes/cast04-plotgeodist.Rmd | 55 ++------- 32 files changed, 808 insertions(+), 720 deletions(-)
Title: Tidy Data and 'Geoms' for Bayesian Models
Description: Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models
('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided
to help extract tidy data frames of draws from Bayesian models and that generate point
summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for
common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus
densities), and fit curves with multiple, arbitrary uncertainty bands.
Author: Matthew Kay [aut, cre],
Timothy Mastny [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>
Diff between tidybayes versions 3.0.2 dated 2022-01-05 and 3.0.3 dated 2023-02-04
tidybayes-3.0.2/tidybayes/tests/testthat/fontconfig-helper.R |only tidybayes-3.0.3/tidybayes/DESCRIPTION | 13 tidybayes-3.0.3/tidybayes/MD5 | 105 tidybayes-3.0.3/tidybayes/NAMESPACE | 2 tidybayes-3.0.3/tidybayes/NEWS.md | 10 tidybayes-3.0.3/tidybayes/R/compare_levels.R | 2 tidybayes-3.0.3/tidybayes/R/deprecated.R | 24 tidybayes-3.0.3/tidybayes/R/predicted_draws.R | 55 tidybayes-3.0.3/tidybayes/R/predicted_rvars.R | 36 tidybayes-3.0.3/tidybayes/R/spread_draws.R | 16 tidybayes-3.0.3/tidybayes/R/spread_rvars.R | 2 tidybayes-3.0.3/tidybayes/R/tidy_draws.R | 9 tidybayes-3.0.3/tidybayes/R/ungather_draws.R | 2 tidybayes-3.0.3/tidybayes/R/unspread_draws.R | 8 tidybayes-3.0.3/tidybayes/build/partial.rdb |binary tidybayes-3.0.3/tidybayes/build/vignette.rds |binary tidybayes-3.0.3/tidybayes/inst/doc/tidy-brms.R | 27 tidybayes-3.0.3/tidybayes/inst/doc/tidy-brms.Rmd | 35 tidybayes-3.0.3/tidybayes/inst/doc/tidy-brms.html | 1107 ++++-- tidybayes-3.0.3/tidybayes/inst/doc/tidy-posterior.R | 60 tidybayes-3.0.3/tidybayes/inst/doc/tidy-posterior.Rmd | 86 tidybayes-3.0.3/tidybayes/inst/doc/tidy-posterior.html | 1059 ++++-- tidybayes-3.0.3/tidybayes/inst/doc/tidy-rstanarm.R | 6 tidybayes-3.0.3/tidybayes/inst/doc/tidy-rstanarm.Rmd | 8 tidybayes-3.0.3/tidybayes/inst/doc/tidy-rstanarm.html | 954 ++++- tidybayes-3.0.3/tidybayes/inst/doc/tidybayes-residuals.R | 22 tidybayes-3.0.3/tidybayes/inst/doc/tidybayes-residuals.Rmd | 24 tidybayes-3.0.3/tidybayes/inst/doc/tidybayes-residuals.html | 632 ++- tidybayes-3.0.3/tidybayes/inst/doc/tidybayes.R | 5 tidybayes-3.0.3/tidybayes/inst/doc/tidybayes.Rmd | 9 tidybayes-3.0.3/tidybayes/inst/doc/tidybayes.html | 1705 +++++++--- tidybayes-3.0.3/tidybayes/man/add_predicted_draws.Rd | 72 tidybayes-3.0.3/tidybayes/man/add_predicted_rvars.Rd | 73 tidybayes-3.0.3/tidybayes/man/reexports.Rd | 2 tidybayes-3.0.3/tidybayes/man/spread_draws.Rd | 6 tidybayes-3.0.3/tidybayes/tests/testthat/_snaps/test.geom_dotsinterval/stat-dotsh-with-a-group-with-1-dot.svg | 80 tidybayes-3.0.3/tidybayes/tests/testthat/_snaps/test.geom_dotsinterval/vanilla-geom-dotsh.svg | 80 tidybayes-3.0.3/tidybayes/tests/testthat/_snaps/test.stat_eye/two-parameter-factor-horizontal-eye-fill.svg | 4 tidybayes-3.0.3/tidybayes/tests/testthat/test.add_draws.R | 2 tidybayes-3.0.3/tidybayes/tests/testthat/test.emmeans_comparison.R | 1 tidybayes-3.0.3/tidybayes/tests/testthat/test.epred_draws.R | 23 tidybayes-3.0.3/tidybayes/tests/testthat/test.epred_rvars.R | 2 tidybayes-3.0.3/tidybayes/tests/testthat/test.gather_emmeans_draws.R | 2 tidybayes-3.0.3/tidybayes/tests/testthat/test.linpred_draws.R | 8 tidybayes-3.0.3/tidybayes/tests/testthat/test.linpred_rvars.R | 2 tidybayes-3.0.3/tidybayes/tests/testthat/test.predicted_draws.R | 12 tidybayes-3.0.3/tidybayes/tests/testthat/test.predicted_rvars.R | 5 tidybayes-3.0.3/tidybayes/tests/testthat/test.residual_draws.R | 2 tidybayes-3.0.3/tidybayes/tests/testthat/test.spread_draws.R | 8 tidybayes-3.0.3/tidybayes/vignettes/tidy-brms.Rmd | 35 tidybayes-3.0.3/tidybayes/vignettes/tidy-posterior.Rmd | 86 tidybayes-3.0.3/tidybayes/vignettes/tidy-rstanarm.Rmd | 8 tidybayes-3.0.3/tidybayes/vignettes/tidybayes-residuals.Rmd | 24 tidybayes-3.0.3/tidybayes/vignettes/tidybayes.Rmd | 9 54 files changed, 4678 insertions(+), 1891 deletions(-)
Title: Fuzzy Measure Tools
Description: Various tools for handling fuzzy measures, calculating Shapley value and interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment
is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package. Please refer to the following:
[1] <https://personal-sites.deakin.edu.au/~gleb/fmtools.html>
[2] G. Beliakov, H. Bustince, T. Calvo, 'A Practical Guide to Averaging', Springer, (2016, ISBN: 978-3-319-24753-3).
[3] G. Beliakov, S. James, J-Z. Wu, 'Discrete Fuzzy Measures', Springer, (2020, ISBN: 978-3-030-15305-2).
Author: Gleb Beliakov [aut, cre],
Quan Vu [ctb],
Andrei Kelarev [ctb],
Michel Berkelaar [ctb],
Kjell Eikland [ctb],
Samuel E. Buttrey [ctb],
Stefan I. Larimore [ctb],
Timothy A. Davis [ctb],
John Gilbert [ctb],
Esmond Ng [ctb],
Peter Notebaert [ctb],
Richard [...truncated...]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>
Diff between Rfmtool versions 4.1.9 dated 2022-11-30 and 4.1.10 dated 2023-02-04
DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- inst/doc/Rfmtool_manual.pdf |binary src/Makevars | 2 +- src/Makevars.win | 2 +- src/fuzzymeasurefit.cpp | 10 ++++++---- src/fuzzymeasurefit3.cpp | 26 +++++++++++++------------- src/lp_MPS.c | 11 +++++++++++ src/lp_lib.c | 9 ++++++++- src/lp_params.c | 9 +++++++++ src/lp_presolve.c | 9 +++++++++ src/lusol.c | 11 +++++++++++ src/mmio.c | 9 +++++++++ src/yacc_read.c | 10 ++++++++++ 14 files changed, 105 insertions(+), 37 deletions(-)
Title: Evidential Regression
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.36227/techrxiv.21791831.v1>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>
Diff between evreg versions 1.0.0 dated 2023-01-17 and 1.0.1 dated 2023-02-04
DESCRIPTION | 8 ++++---- MD5 | 19 ++++++++++--------- NEWS |only R/ENNreg.R | 4 +--- R/ENNreg_cv.R | 10 +++++++--- R/pl_contour.R | 2 +- R/predict.ENNreg.R | 5 +++-- inst/doc/Introduction.html | 16 ++++++++-------- man/ENNreg.Rd | 4 +--- man/ENNreg_cv.Rd | 2 +- man/pl_contour.Rd | 2 +- 11 files changed, 37 insertions(+), 35 deletions(-)
Title: Compositional Data Analysis
Description: Provides functions for the consistent analysis of compositional
data (e.g. portions of substances) and positive numbers (e.g. concentrations)
in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.
Author: K. Gerald van den Boogaart <boogaart@hzdr.de>,
Raimon Tolosana-Delgado, Matevz Bren
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Diff between compositions versions 2.0-4 dated 2022-01-05 and 2.0-5 dated 2023-02-04
ChangeLog | 4 DESCRIPTION | 10 MD5 | 82 +- R/3d.R | 4 R/Geostat.R | 2 R/PrincipalBalances.R | 4 R/compositions.R | 4 build/partial.rdb |binary inst/doc/UsingCompositions.pdf |binary inst/doc/UsingCompositions.rnw | 2 inst/doc/compositions_v2.html | 1149 +++++++++++++++++++++------------------- man/HouseholdExp.Rd | 6 man/acomp.Rd | 4 man/acomparith.Rd | 4 man/acompmargin.Rd | 2 man/alr.Rd | 2 man/arrows3d.Rd | 2 man/axis3d.Rd | 2 man/balancebase.Rd | 4 man/biplot3d.Rd | 2 man/codadendrogram.Rd | 2 man/compositions.Rd | 4 man/gsigetbalstruct.Rd | 2 man/gsimerge2signary.Rd | 2 man/gsivarwithlosts.Rd | 2 man/ilr.Rd | 2 man/ilrBase.Rd | 2 man/mix2compositions.Rd | 2 man/mixRead.Rd | 4 man/pairwisePlot.Rd | 6 man/plot.Rd | 4 man/plot3d.Rd | 2 man/plot3dacomp.Rd | 2 man/plot3daplus.Rd | 2 man/plot3drmult.Rd | 2 man/plot3drplus.Rd | 2 man/princompacomp.Rd | 4 man/pwlr.Rd | 2 man/pwlrPlot.Rd | 6 man/rDirichlet.Rd | 2 man/zeroreplace.Rd | 4 vignettes/UsingCompositions.rnw | 2 42 files changed, 715 insertions(+), 636 deletions(-)
Title: Judd, McClelland, & Ryan Formatting for ANOVA Output
Description: Produces ANOVA tables in the format used by Judd, McClelland,
and Ryan (2017, ISBN: 978-1138819832) in their introductory textbook,
Data Analysis. This includes proportional reduction in error and
formatting to improve ease the transition between the book and R.
Author: Adam Blake [cre, aut] ,
Jeff Chrabaszcz [aut],
Ji Son [aut] ,
Jim Stigler [aut]
Maintainer: Adam Blake <adamblake@g.ucla.edu>
Diff between supernova versions 2.5.3 dated 2022-07-11 and 2.5.5 dated 2023-02-04
supernova-2.5.3/supernova/R/data.R |only supernova-2.5.3/supernova/data |only supernova-2.5.3/supernova/man/Fingers.Rd |only supernova-2.5.3/supernova/man/Fingers.messy.Rd |only supernova-2.5.3/supernova/man/Servers.Rd |only supernova-2.5.3/supernova/man/Survey.Rd |only supernova-2.5.3/supernova/man/Tables.Rd |only supernova-2.5.3/supernova/man/TipExperiment.Rd |only supernova-2.5.3/supernova/man/class_data.Rd |only supernova-2.5.3/supernova/tests/testthat/test-print.supernova.R |only supernova-2.5.5/supernova/DESCRIPTION | 9 supernova-2.5.5/supernova/MD5 | 35 - supernova-2.5.5/supernova/NEWS.md | 101 +-- supernova-2.5.5/supernova/R/generate_models.R | 2 supernova-2.5.5/supernova/R/supernova.R | 3 supernova-2.5.5/supernova/README.md | 298 +++++----- supernova-2.5.5/supernova/tests/testthat/_snaps/generate_models.md | 72 +- supernova-2.5.5/supernova/tests/testthat/_snaps/supernova.lmerMod.md |only supernova-2.5.5/supernova/tests/testthat/_snaps/supernova.md | 104 ++- supernova-2.5.5/supernova/tests/testthat/test-supernova.lmerMod.R | 26 supernova-2.5.5/supernova/tests/testthat/test-supernova.r | 36 - 21 files changed, 381 insertions(+), 305 deletions(-)
Title: Choice Models with Economic Foundation
Description: Implements choice models based on economic theory, including estimation using Markov chain Monte Carlo (MCMC), prediction, and more. Its usability is inspired by ideas from 'tidyverse'. Models include versions of the Hierarchical Multinomial Logit and Multiple Discrete-Continous (Volumetric) models with and without screening. The foundations of these models are described in Allenby, Hardt and Rossi (2019) <doi:10.1016/bs.hem.2019.04.002>. Models with conjunctive screening are described in Kim, Hardt, Kim and Allenby (2022) <doi:10.1016/j.ijresmar.2022.04.001>. Models with set-size variation are described in Hardt and Kurz (2020) <doi:10.2139/ssrn.3418383>.
Author: Nino Hardt [aut, cre]
Maintainer: Nino Hardt <me@ninohardt.com>
Diff between echoice2 versions 0.2.0 dated 2023-02-02 and 0.2.1 dated 2023-02-04
DESCRIPTION | 20 ++-- MD5 | 5 - src/echoice2.cpp | 252 ++++++++++++++++++++----------------------------------- src/myomp.h |only 4 files changed, 106 insertions(+), 171 deletions(-)
Title: Quantile Least Mahalanobis Distance Estimator for Tukey g-&-h
Mixture
Description: Functions for simulation, estimation, and model selection of finite
mixtures of Tukey's g-and-h distributions.
Author: Tingting Zhan [aut, cre, cph],
Inna Chervoneva [ctb]
Maintainer: Tingting Zhan <Tingting.Zhan@jefferson.edu>
Diff between QuantileGH versions 0.1.2 dated 2022-05-05 and 0.1.3 dated 2023-02-04
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Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-01-19 2.1.10
2022-06-15 2.1.9