Title: Gamma and Exponential Generalized Linear Models with Elastic Net
Penalty
Description: Implements the fast iterative shrinkage-thresholding algorithm
(FISTA) algorithm to fit a Gamma distribution with an elastic net
penalty as described in Chen, Arakvin and Martin (2018)
<arxiv:1804.07780>. An implementation for the case of the
exponential distribution is also available, with details available
in Chen and Martin (2018) <https://papers.ssrn.com/abstract_id=3085672>.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>,
Xin Chen <chenx26@uw.edu>,
Daniel Hanson <hansondj@uw.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Diff between RPEGLMEN versions 1.1.1 dated 2021-05-13 and 1.1.2 dated 2023-01-28
RPEGLMEN-1.1.1/RPEGLMEN/src/Makevars.dbg |only RPEGLMEN-1.1.2/RPEGLMEN/DESCRIPTION | 11 +++++------ RPEGLMEN-1.1.2/RPEGLMEN/MD5 | 19 +++++++++---------- RPEGLMEN-1.1.2/RPEGLMEN/NEWS.md | 5 ++++- RPEGLMEN-1.1.2/RPEGLMEN/README.md | 2 +- RPEGLMEN-1.1.2/RPEGLMEN/build/vignette.rds |binary RPEGLMEN-1.1.2/RPEGLMEN/src/Makevars.in | 11 ++--------- RPEGLMEN-1.1.2/RPEGLMEN/src/Makevars.win | 2 +- RPEGLMEN-1.1.2/RPEGLMEN/src/MyClass.cpp | 1 - RPEGLMEN-1.1.2/RPEGLMEN/src/RcppExports.cpp | 5 +++++ RPEGLMEN-1.1.2/RPEGLMEN/src/glmnetRcppInterface.cpp | 1 - 11 files changed, 27 insertions(+), 30 deletions(-)
Title: Robust Hierarchical Co-Clustering to Identify Significant
Co-Cluster
Description: Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in
absence and presence of outlying observations. It can be used to explore important co-clusters consisting of
important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020)
<doi:10.1101/2020.05.13.094946>.
Author: Md. Bahadur Badsha [aut, cre],
Mohammad Nazmol Hasan [aut],
Md. Nurul Haque Mollah [aut]
Maintainer: Md. Bahadur Badsha <mbbadshar@gmail.com>
Diff between rhcoclust versions 1.1.0 dated 2021-02-26 and 2.0.0 dated 2023-01-28
rhcoclust-1.1.0/rhcoclust/README.md |only rhcoclust-1.1.0/rhcoclust/data/toxygates_data.rda |only rhcoclust-1.1.0/rhcoclust/man/toxygates_data.Rd |only rhcoclust-2.0.0/rhcoclust/DESCRIPTION | 10 rhcoclust-2.0.0/rhcoclust/MD5 | 27 - rhcoclust-2.0.0/rhcoclust/R/plot_rhcoclust.R | 9 rhcoclust-2.0.0/rhcoclust/R/rhcoclust.R | 3 rhcoclust-2.0.0/rhcoclust/R/rhcoclust_internet.R | 531 +++++++++++++------- rhcoclust-2.0.0/rhcoclust/R/rhcoclust_network.R | 6 rhcoclust-2.0.0/rhcoclust/R/simulate_data.R | 2 rhcoclust-2.0.0/rhcoclust/data/FCGE_Data_GMP.rda |only rhcoclust-2.0.0/rhcoclust/data/FCGE_Data_PPARs.rda |only rhcoclust-2.0.0/rhcoclust/man/FCGE_Data_GMP.Rd |only rhcoclust-2.0.0/rhcoclust/man/FCGE_Data_PPARs.Rd |only rhcoclust-2.0.0/rhcoclust/man/plot_rhcoclust.Rd | 27 - rhcoclust-2.0.0/rhcoclust/man/rhcoclust.Rd | 26 rhcoclust-2.0.0/rhcoclust/man/rhcoclust_internet.Rd | 18 rhcoclust-2.0.0/rhcoclust/man/rhcoclust_network.Rd | 25 18 files changed, 438 insertions(+), 246 deletions(-)
Title: NeuroAnatomy Toolbox for Analysis of 3D Image Data
Description: NeuroAnatomy Toolbox (nat) enables analysis and visualisation of 3D
biological image data, especially traced neurons. Reads and writes 3D images
in NRRD and 'Amira' AmiraMesh formats and reads surfaces in 'Amira' hxsurf
format. Traced neurons can be imported from and written to SWC and 'Amira'
LineSet and SkeletonGraph formats. These data can then be visualised in 3D
via 'rgl', manipulated including applying calculated registrations, e.g.
using the 'CMTK' registration suite, and analysed. There is also a simple
representation for neurons that have been subjected to 3D skeletonisation
but not formally traced; this allows morphological comparison between
neurons including searches and clustering (via the 'nat.nblast' extension
package).
Author: Gregory Jefferis [aut, cre] ,
James Manton [aut] ,
Dominik Krzeminski [ctb]
Maintainer: Gregory Jefferis <jefferis@gmail.com>
Diff between nat versions 1.8.19 dated 2022-04-06 and 1.8.21 dated 2023-01-28
DESCRIPTION | 11 MD5 | 69 NEWS | 650 --- R/amiramesh-io.R | 2 R/im3d.R | 34 R/neuron-io-neuroml.R | 4 R/neuron-plot.R | 2 R/neuron.R | 2 R/neuronlist.R | 6 R/neuronlist_interactive_3d.R | 8 R/ngraph.R | 4 R/nrrd-io.R | 6 R/seglist.R | 2 README.md | 4 build/partial.rdb |binary build/vignette.rds |binary inst/doc/Installation.html | 128 inst/doc/neurons-intro.html | 8194 +++++++++++++++++++++++++++++++++++++-- man/as.im3d.Rd | 5 man/boundingbox.Rd | 2 man/figures |only man/im3d.Rd | 29 man/nlapply.Rd | 4 man/normalise_swc.Rd | 4 man/nview3d.Rd | 4 man/plot3d.neuron.Rd | 2 man/read.morphml.Rd | 2 man/read.neuron.neuroml.Rd | 2 man/subset.neuron.Rd | 2 man/write.nrrd.Rd | 4 tests/testthat/test-hxsurf.R | 2 tests/testthat/test-neuron.R | 2 tests/testthat/test-neuronlist.R | 2 tests/testthat/test-ngraph.R | 9 tests/testthat/test-pop3d.R | 6 35 files changed, 8084 insertions(+), 1123 deletions(-)
Title: General-to-Specific Modelling of Panel Data
Description: Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.
Author: Felix Pretis [aut],
Moritz Schwarz [aut, cre]
Maintainer: Moritz Schwarz <moritz.schwarz@scmo.eu>
Diff between getspanel versions 0.1.2 dated 2023-01-17 and 0.1.3 dated 2023-01-28
getspanel-0.1.2/getspanel/R/robust.isatpanel.R |only getspanel-0.1.2/getspanel/man/robust.isatpanel.Rd |only getspanel-0.1.3/getspanel/DESCRIPTION | 8 getspanel-0.1.3/getspanel/MD5 | 48 - getspanel-0.1.3/getspanel/NAMESPACE | 2 getspanel-0.1.3/getspanel/NEWS.md | 17 getspanel-0.1.3/getspanel/R/data.R | 2 getspanel-0.1.3/getspanel/R/identify_indicator_timings.R | 6 getspanel-0.1.3/getspanel/R/isatpanel.R | 29 getspanel-0.1.3/getspanel/R/plot.isatpanel.R | 4 getspanel-0.1.3/getspanel/R/robust_isatpanel.R |only getspanel-0.1.3/getspanel/README.md | 353 ++++----- getspanel-0.1.3/getspanel/data/EUCO2residential.rda |binary getspanel-0.1.3/getspanel/inst/doc/introduction.R | 51 - getspanel-0.1.3/getspanel/inst/doc/introduction.Rmd | 85 +- getspanel-0.1.3/getspanel/inst/doc/introduction.html | 390 +++++----- getspanel-0.1.3/getspanel/man/EUCO2residential.Rd | 60 - getspanel-0.1.3/getspanel/man/figures/README-example_plot-1.png |binary getspanel-0.1.3/getspanel/man/figures/README-unnamed-chunk-11-1.png |binary getspanel-0.1.3/getspanel/man/figures/README-unnamed-chunk-2-1.png |binary getspanel-0.1.3/getspanel/man/figures/README-unnamed-chunk-3-1.png |binary getspanel-0.1.3/getspanel/man/figures/README-unnamed-chunk-4-1.png |binary getspanel-0.1.3/getspanel/man/figures/README-unnamed-chunk-6-1.png |binary getspanel-0.1.3/getspanel/man/figures/README-unnamed-chunk-9-1.png |binary getspanel-0.1.3/getspanel/man/isatpanel.Rd | 15 getspanel-0.1.3/getspanel/man/robust_isatpanel.Rd |only getspanel-0.1.3/getspanel/vignettes/introduction.Rmd | 85 +- 27 files changed, 604 insertions(+), 551 deletions(-)
Title: Data and Code for Financial Accounting Research
Description: Provides handy functions and data to support a course book for accounting research.
Gow, Ian and Tongqing Ding (2022) "Accounting Research: An Introductory Course" <https://iangow.github.io/far_book/>.
Author: Ian Gow [aut, cre]
Maintainer: Ian Gow <iandgow@gmail.com>
Diff between farr versions 0.2.27 dated 2022-06-30 and 0.2.30 dated 2023-01-28
farr-0.2.27/farr/build/vignette.rds |only farr-0.2.27/farr/inst/doc |only farr-0.2.27/farr/vignettes |only farr-0.2.30/farr/DESCRIPTION | 11 +-- farr-0.2.30/farr/LICENSE | 2 farr-0.2.30/farr/MD5 | 42 ++++++++----- farr-0.2.30/farr/NAMESPACE | 7 ++ farr-0.2.30/farr/NEWS.md | 16 ++++- farr-0.2.30/farr/R/data.R | 84 +++++++++++++++++++++++++++ farr-0.2.30/farr/R/roc.R |only farr-0.2.30/farr/R/rusboost.R |only farr-0.2.30/farr/build/partial.rdb |binary farr-0.2.30/farr/data/aaer_firm_year.rda |only farr-0.2.30/farr/data/aus_bank_funds.rda |only farr-0.2.30/farr/data/aus_bank_rets.rda |only farr-0.2.30/farr/data/aus_banks.rda |only farr-0.2.30/farr/data/zhang_2007_events.rda |only farr-0.2.30/farr/data/zhang_2007_windows.rda |only farr-0.2.30/farr/man/aaer_firm_year.Rd |only farr-0.2.30/farr/man/auc.Rd |only farr-0.2.30/farr/man/aus_bank_funds.Rd |only farr-0.2.30/farr/man/aus_bank_rets.Rd |only farr-0.2.30/farr/man/aus_banks.Rd |only farr-0.2.30/farr/man/confusion_stats.Rd |only farr-0.2.30/farr/man/ndcg.Rd |only farr-0.2.30/farr/man/roc.Rd |only farr-0.2.30/farr/man/rus.Rd |only farr-0.2.30/farr/man/rusboost.Rd |only farr-0.2.30/farr/man/zhang_2007_events.Rd |only farr-0.2.30/farr/man/zhang_2007_windows.Rd |only 30 files changed, 137 insertions(+), 25 deletions(-)
Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Algorithms for automatically finding appropriate thresholds
for numerical data, with special functions for thresholding images.
Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R
users. See <https://imagej.net/plugins/auto-threshold> and Landini et
al. (2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl] ,
Luis Alvarez [ctb] ,
Sergi Padilla-Parra [ctb, ths]
,
Gabriel Landini [ctb, cph]
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between autothresholdr versions 1.4.0 dated 2022-01-04 and 1.4.1 dated 2023-01-28
DESCRIPTION | 50 +-- MD5 | 12 NEWS.md | 7 build/vignette.rds |binary inst/doc/finding-thresholds.html | 397 +++++++++++++++++++++------ inst/doc/thresholding-image-stacks.html | 454 ++++++++++++++++++++++---------- inst/doc/thresholding-images.html | 386 ++++++++++++++++++++------- 7 files changed, 954 insertions(+), 352 deletions(-)
More information about autothresholdr at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-02-01 0.5.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-01-19 0.1.0
Title: Indices of Effect Size
Description: Provide utilities to work with indices of effect size for a wide
variety of models and hypothesis tests (see list of supported models using
the function 'insight::supported_models()'), allowing computation of and
conversion between indices such as Cohen's d, r, odds, etc.
References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Author: Mattan S. Ben-Shachar [aut, cre]
,
Dominique Makowski [aut] ,
Daniel Luedecke [aut] ,
Indrajeet Patil [aut] ,
Brenton M. Wiernik [aut] ,
Remi Theriault [aut] ,
Ken Kelley [ctb],
David Stanley [ctb],
Aaron Caldwell [ctb] ,
Jessica Burnett [rev] ,
Johan [...truncated...]
Maintainer: Mattan S. Ben-Shachar <mattansb@msbstats.info>
Diff between effectsize versions 0.8.2 dated 2022-10-31 and 0.8.3 dated 2023-01-28
effectsize-0.8.2/effectsize/R/utils_ncp_ci.R |only effectsize-0.8.3/effectsize/DESCRIPTION | 34 - effectsize-0.8.3/effectsize/MD5 | 199 +++--- effectsize-0.8.3/effectsize/NAMESPACE | 3 effectsize-0.8.3/effectsize/NEWS.md | 20 effectsize-0.8.3/effectsize/R/cohens_d.R | 21 effectsize-0.8.3/effectsize/R/cohens_g.R | 8 effectsize-0.8.3/effectsize/R/common_language.R | 71 +- effectsize-0.8.3/effectsize/R/convert_between_OR_to_RR.R | 40 - effectsize-0.8.3/effectsize/R/convert_between_common_language.R | 11 effectsize-0.8.3/effectsize/R/convert_between_d_to_r.R | 57 + effectsize-0.8.3/effectsize/R/convert_between_odds_to_probs.R | 15 effectsize-0.8.3/effectsize/R/convert_stat_chisq.R | 30 effectsize-0.8.3/effectsize/R/convert_stat_to_anova.R | 43 - effectsize-0.8.3/effectsize/R/convert_stat_to_d.R | 32 - effectsize-0.8.3/effectsize/R/convert_stat_to_r.R | 45 - effectsize-0.8.3/effectsize/R/datasets.R | 2 effectsize-0.8.3/effectsize/R/docs_extra.R | 4 effectsize-0.8.3/effectsize/R/effectsize.R | 13 effectsize-0.8.3/effectsize/R/effectsize.htest.R | 44 - effectsize-0.8.3/effectsize/R/equivalence_test.R | 11 effectsize-0.8.3/effectsize/R/eta_squared-main.R | 18 effectsize-0.8.3/effectsize/R/eta_squared_posterior.R | 5 effectsize-0.8.3/effectsize/R/interpret.R | 1 effectsize-0.8.3/effectsize/R/interpret_bf.R | 15 effectsize-0.8.3/effectsize/R/interpret_cfa_fit.R | 6 effectsize-0.8.3/effectsize/R/interpret_omega_squared.R | 2 effectsize-0.8.3/effectsize/R/mahalanobis_D.R | 21 effectsize-0.8.3/effectsize/R/means_ratio.R |only effectsize-0.8.3/effectsize/R/r2_semipartial.R |only effectsize-0.8.3/effectsize/R/rank_ANOVA.R | 89 +- effectsize-0.8.3/effectsize/R/rank_diff.R | 20 effectsize-0.8.3/effectsize/R/sysdata.rda |binary effectsize-0.8.3/effectsize/R/utils_ci.R |only effectsize-0.8.3/effectsize/R/utils_validate_input_data.R | 1 effectsize-0.8.3/effectsize/R/xtab_corr.R | 12 effectsize-0.8.3/effectsize/R/xtab_diff.R | 48 - effectsize-0.8.3/effectsize/build/partial.rdb |binary effectsize-0.8.3/effectsize/build/vignette.rds |binary effectsize-0.8.3/effectsize/inst/WORDLIST |only effectsize-0.8.3/effectsize/inst/doc/anovaES.R | 46 - effectsize-0.8.3/effectsize/inst/doc/anovaES.Rmd | 48 - effectsize-0.8.3/effectsize/inst/doc/anovaES.html | 170 ++--- effectsize-0.8.3/effectsize/inst/doc/convert_p_OR_RR.R | 2 effectsize-0.8.3/effectsize/inst/doc/convert_p_OR_RR.Rmd | 2 effectsize-0.8.3/effectsize/inst/doc/convert_p_OR_RR.html | 144 ++-- effectsize-0.8.3/effectsize/inst/doc/convert_r_d_OR.R | 16 effectsize-0.8.3/effectsize/inst/doc/convert_r_d_OR.Rmd | 19 effectsize-0.8.3/effectsize/inst/doc/convert_r_d_OR.html | 158 ++-- effectsize-0.8.3/effectsize/inst/doc/effectsize.R | 8 effectsize-0.8.3/effectsize/inst/doc/effectsize.Rmd | 8 effectsize-0.8.3/effectsize/inst/doc/effectsize.html | 210 +++--- effectsize-0.8.3/effectsize/inst/doc/effectsize_API.R | 4 effectsize-0.8.3/effectsize/inst/doc/effectsize_API.Rmd | 6 effectsize-0.8.3/effectsize/inst/doc/effectsize_API.html | 124 ++- effectsize-0.8.3/effectsize/inst/doc/from_test_statistics.R | 33 - effectsize-0.8.3/effectsize/inst/doc/from_test_statistics.Rmd | 33 - effectsize-0.8.3/effectsize/inst/doc/from_test_statistics.html | 161 ++--- effectsize-0.8.3/effectsize/inst/doc/interpret.Rmd | 2 effectsize-0.8.3/effectsize/inst/doc/interpret.html | 144 ++-- effectsize-0.8.3/effectsize/inst/doc/standardized_differences.R | 30 effectsize-0.8.3/effectsize/inst/doc/standardized_differences.Rmd | 41 - effectsize-0.8.3/effectsize/inst/doc/standardized_differences.html | 223 +++---- effectsize-0.8.3/effectsize/inst/doc/xtabs.R | 11 effectsize-0.8.3/effectsize/inst/doc/xtabs.Rmd | 11 effectsize-0.8.3/effectsize/inst/doc/xtabs.html | 132 ++-- effectsize-0.8.3/effectsize/man/F_to_eta2.Rd | 20 effectsize-0.8.3/effectsize/man/cohens_d.Rd | 3 effectsize-0.8.3/effectsize/man/d_to_r.Rd | 28 effectsize-0.8.3/effectsize/man/effectsize-package.Rd | 120 +-- effectsize-0.8.3/effectsize/man/effectsize.Rd | 8 effectsize-0.8.3/effectsize/man/effectsize_CIs.Rd | 4 effectsize-0.8.3/effectsize/man/equivalence_test.effectsize_table.Rd | 11 effectsize-0.8.3/effectsize/man/eta_squared.Rd | 6 effectsize-0.8.3/effectsize/man/interpret_gfi.Rd | 6 effectsize-0.8.3/effectsize/man/interpret_omega_squared.Rd | 2 effectsize-0.8.3/effectsize/man/mahalanobis_d.Rd | 317 +++++----- effectsize-0.8.3/effectsize/man/means_ratio.Rd |only effectsize-0.8.3/effectsize/man/oddsratio_to_riskratio.Rd | 8 effectsize-0.8.3/effectsize/man/p_superiority.Rd | 1 effectsize-0.8.3/effectsize/man/r2_semipartial.Rd |only effectsize-0.8.3/effectsize/man/rank_biserial.Rd | 1 effectsize-0.8.3/effectsize/man/t_to_r.Rd | 15 effectsize-0.8.3/effectsize/tests/testthat/test-cohens_d.R | 1 effectsize-0.8.3/effectsize/tests/testthat/test-convert_between.R | 29 effectsize-0.8.3/effectsize/tests/testthat/test-effectsize.R | 4 effectsize-0.8.3/effectsize/tests/testthat/test-eta_squared.R | 56 + effectsize-0.8.3/effectsize/tests/testthat/test-eta_squared_posterior.R | 11 effectsize-0.8.3/effectsize/tests/testthat/test-format_standardize.R | 1 effectsize-0.8.3/effectsize/tests/testthat/test-is_effectsize_name.R | 1 effectsize-0.8.3/effectsize/tests/testthat/test-mahalanobis_D.R | 4 effectsize-0.8.3/effectsize/tests/testthat/test-plot.R | 1 effectsize-0.8.3/effectsize/tests/testthat/test-r2_semipartial.R |only effectsize-0.8.3/effectsize/tests/testthat/test-rankES.R | 7 effectsize-0.8.3/effectsize/tests/testthat/test-rom.R |only effectsize-0.8.3/effectsize/tests/testthat/test-xtab.R | 2 effectsize-0.8.3/effectsize/vignettes/anovaES.Rmd | 48 - effectsize-0.8.3/effectsize/vignettes/convert_p_OR_RR.Rmd | 2 effectsize-0.8.3/effectsize/vignettes/convert_r_d_OR.Rmd | 19 effectsize-0.8.3/effectsize/vignettes/effectsize.Rmd | 8 effectsize-0.8.3/effectsize/vignettes/effectsize_API.Rmd | 6 effectsize-0.8.3/effectsize/vignettes/from_test_statistics.Rmd | 33 - effectsize-0.8.3/effectsize/vignettes/interpret.Rmd | 2 effectsize-0.8.3/effectsize/vignettes/standardized_differences.Rmd | 41 - effectsize-0.8.3/effectsize/vignettes/xtabs.Rmd | 11 105 files changed, 1913 insertions(+), 1651 deletions(-)
Title: Bayesian Seemingly Unrelated Regression
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2021) <arXiv:2101.05899>.
Author: Marco Banterle [aut],
Zhi Zhao [aut, cre],
Leonardo Bottolo [ctb],
Sylvia Richardson [ctb],
Waldir Leoncio [ctb],
Alex Lewin [aut],
Manuela Zucknick [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Diff between BayesSUR versions 2.1-2 dated 2022-08-08 and 2.1-3 dated 2023-01-28
DESCRIPTION | 10 MD5 | 92 ++-- NEWS.md | 5 R/BayesSUR.R | 913 +++++++++++++++++++++++++++--------------------- R/coef.BayesSUR.R | 53 +- R/datasets.R | 2 R/elpd.R | 69 ++- R/exampleEQTL.R | 429 +++++++++++----------- R/exampleGDSC.R | 246 ++++++------ R/fitted.BayesSUR.R | 80 ++-- R/getEstimator.R | 204 +++++----- R/plot.BayesSUR.R | 216 ++++++----- R/plotCPO.R | 195 ++++++---- R/plotEstimator.R | 414 ++++++++++++--------- R/plotGraph.R | 126 +++--- R/plotMCMCdiag.R | 321 +++++++++------- R/plotManhattan.R | 185 +++++---- R/plotNetwork.R | 421 +++++++++++++--------- R/predict.BayesSUR.R | 131 +++--- R/print.BayesSUR.R | 75 ++- R/summary.BayesSUR.R | 149 ++++--- R/targetGene.R | 238 ++++++------ build/vignette.rds |binary configure | 14 configure.ac | 10 data/exampleGDSC.rda |binary inst/doc/BayesSUR.pdf |binary man/BayesSUR.Rd | 239 ++++++++---- man/coef.BayesSUR.Rd | 25 - man/elpd.Rd | 35 + man/exampleEQTL.Rd | 347 +++++++++--------- man/exampleGDSC.Rd | 186 +++++---- man/fitted.BayesSUR.Rd | 32 + man/getEstimator.Rd | 42 +- man/plot.BayesSUR.Rd | 79 ++-- man/plotCPO.Rd | 42 +- man/plotEstimator.Rd | 54 +- man/plotGraph.Rd | 31 - man/plotMCMCdiag.Rd | 26 - man/plotManhattan.Rd | 40 +- man/plotNetwork.Rd | 52 +- man/predict.BayesSUR.Rd | 47 +- man/print.BayesSUR.Rd | 28 - man/summary.BayesSUR.Rd | 34 + man/targetGene.Rd | 178 +++++---- src/Makevars.in | 2 src/Makevars.win | 2 47 files changed, 3539 insertions(+), 2580 deletions(-)
Title: Superior Identification Index and Its Extensions
Description: Calculate superior identification index and its extensions.
Measure the performance of journals based on how well they could
identify the top papers by any index (e.g. citation indices) according to Huang & Yang.
(2022) <doi:10.1007/s11192-022-04372-z>. These methods could be extended to
evaluate other entities such as institutes, countries, etc.
Author: Tian-Yuan Huang [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>
Diff between siie versions 0.3.0 dated 2022-11-30 and 0.4.0 dated 2023-01-28
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- inst/doc/Introduction.R | 4 ++-- inst/doc/Introduction.Rmd | 4 ++-- inst/doc/Introduction.html | 8 +++----- vignettes/Introduction.Rmd | 4 ++-- 6 files changed, 18 insertions(+), 20 deletions(-)
Title: Generalized Additive Models
Description: Functions for fitting and working with generalized
additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).
Author: Trevor Hastie
Maintainer: Trevor Hastie <hastie@stanford.edu>
Diff between gam versions 1.22 dated 2022-11-08 and 1.22-1 dated 2023-01-28
ChangeLog | 2 ++ DESCRIPTION | 10 +++++----- MD5 | 6 +++--- src/loessc.c | 6 +++--- 4 files changed, 13 insertions(+), 11 deletions(-)
Title: A Simple Connection Between the 'FormShare App' and 'R' for
Advanced Analytics
Description: Provides analytics directly from 'R'. It requires:
'FormShare App': <https://github.com/qlands/FormShare >= 2.22.0> .
Analytics plugin: <https://github.com/qlands/formshare_analytics_plugin> .
Remote SQL plugin: <https://github.com/qlands/formshare_sql_plugin> .
Author: Carlos Quiros [aut, cre]
Maintainer: Carlos Quiros <cquiros@qlands.com>
Diff between FormShare versions 1.0.0 dated 2022-12-16 and 1.0.1 dated 2023-01-28
DESCRIPTION | 8 +- MD5 | 8 +- NEWS.md | 4 + R/FormShare.R | 6 - README.md | 193 +++++++++++++++++++++++++++++----------------------------- 5 files changed, 114 insertions(+), 105 deletions(-)
Title: Toolbox for Pseudo and Quasi Random Number Generation and Random
Generator Tests
Description: Provides (1) pseudo random generators - general linear congruential generators,
multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister
algorithm (<doi:10.1007/978-3-540-74496-2_36>) and WELL (<doi:10.1145/1132973.1132974>)
generators); (2) quasi random generators - the Torus algorithm, the
Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some
generator tests - the gap test, the serial test, the poker test, see, e.g.,
Gentle (2003) <doi:10.1007/b97336>.
Take a look at the Distribution task view of types and tests of random number generators.
The package can be provided without the 'rngWELL' dependency on demand.
Package in Memoriam of Diethelm and Barbara Wuertz.
Author: R code by Yohan Chalabi [ctb], Christophe Dutang [aut, cre], Petr Savicky [aut],
Diethelm Wuertz [aut]; C code of Knuth-TAOCP RNG by Donald Knuth [aut];
C code of Torus, Halton and Sobol sequences by Christophe Dutang [aut, cre];
C code of SFMT algor [...truncated...]
Maintainer: Christophe Dutang <dutangc@gmail.com>
Diff between randtoolbox versions 2.0.3 dated 2022-11-08 and 2.0.4 dated 2023-01-28
DESCRIPTION | 6 MD5 | 32 +- configure | 507 +++++++++++------------------------- configure.ac | 190 +------------ inst/NEWS | 25 + inst/doc/fullpres.pdf |binary inst/doc/shortintro.pdf |binary src/LowDiscrepancy-halton.h | 5 src/LowDiscrepancy-sobol-orig1111.h | 6 src/config.h | 19 - src/config.h.in | 15 - src/config.h.win | 18 + src/congruRand.c | 165 ++++++++++- src/congruRand.h | 9 src/runifInterface.h | 4 src/version.c | 2 tests/test-runifInterface-LCG.R | 39 +- 17 files changed, 457 insertions(+), 585 deletions(-)
Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations.
This library provides many useful tools to review common administrative time
series hospital data. Some of these include average length of stay, and
readmission rates. The aim is to provide a simple and consistent verb
framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre],
Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Diff between healthyR.ts versions 0.2.6 dated 2023-01-06 and 0.2.7 dated 2023-01-28
DESCRIPTION | 6 MD5 | 40 ++- NAMESPACE | 4 NEWS.md | 18 + R/brownian-motion-plot.R |only R/ts-brownian-motion-augment.R |only R/ts-brownian-motion.R | 90 ++++--- R/ts-geometric-brownian-motion-augment.R |only R/ts-geometric-brownian-motion.R |only R/ts-vva-plot.R | 208 +++++++++--------- README.md | 16 - inst/doc/getting-started.html | 26 +- inst/doc/using-tidy-fft.html | 28 +- man/figures/README-ts_random_walk_ggplot_layers-1.png |binary man/figures/README-unnamed-chunk-2-1.png |binary man/tidy_fft.Rd | 3 man/ts_brownian_motion.Rd | 18 + man/ts_brownian_motion_augment.Rd |only man/ts_brownian_motion_plot.Rd |only man/ts_event_analysis_plot.Rd | 1 man/ts_geometric_brownian_motion.Rd |only man/ts_geometric_brownian_motion_augment.Rd |only man/ts_qq_plot.Rd | 1 man/ts_random_walk.Rd | 5 man/ts_scedacity_scatter_plot.Rd | 1 25 files changed, 256 insertions(+), 209 deletions(-)
Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images.
Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference.
Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks.
Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] ,
Rolf Turner [aut] ,
Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Diff between spatstat versions 3.0-2 dated 2022-11-10 and 3.0-3 dated 2023-01-28
DESCRIPTION | 17 ++--- MD5 | 44 ++++++------- NEWS | 8 ++ inst/CITATION | 8 +- inst/doc/bugfixes.Rnw | 28 ++++++++ inst/doc/bugfixes.pdf |binary inst/doc/datasets.R | 2 inst/doc/datasets.Rnw | 2 inst/doc/datasets.pdf |binary inst/doc/getstart.pdf |binary inst/doc/packagesizes.txt | 3 inst/doc/replicated.pdf |binary inst/doc/shapefiles.pdf |binary inst/doc/spatstatKnetsize.txt | 3 inst/doc/spatstatguisize.txt | 1 inst/doc/spatstatlocalsize.txt | 1 inst/doc/updates.Rnw | 130 +++++++++++++++++++++++++++++++++++++++-- inst/doc/updates.pdf |binary man/macros/defns.Rd | 2 man/spatstat-package.Rd | 1 vignettes/bugfixes.Rnw | 28 ++++++++ vignettes/datasets.Rnw | 2 vignettes/updates.Rnw | 130 +++++++++++++++++++++++++++++++++++++++-- 23 files changed, 358 insertions(+), 52 deletions(-)
Title: JAR Files of the Apache Commons Mathematics Library
Description: Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.
Author: David B. Dahl [cre] ,
The Apache Software Foundation [aut, cph]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Diff between commonsMath versions 1.2.5 dated 2020-02-10 and 1.2.7 dated 2023-01-28
commonsMath-1.2.5/commonsMath/R/scalaDevelDownloadJARs.R |only commonsMath-1.2.5/commonsMath/R/zzz.R |only commonsMath-1.2.5/commonsMath/tests |only commonsMath-1.2.7/commonsMath/DESCRIPTION | 11 commonsMath-1.2.7/commonsMath/MD5 | 32 commonsMath-1.2.7/commonsMath/NEWS | 4 commonsMath-1.2.7/commonsMath/build/partial.rdb |binary commonsMath-1.2.7/commonsMath/build/vignette.rds |binary commonsMath-1.2.7/commonsMath/inst/COPYRIGHT | 4 commonsMath-1.2.7/commonsMath/inst/doc/commonsMath.Rmd | 2 commonsMath-1.2.7/commonsMath/inst/doc/commonsMath.html | 393 ++++++++-- commonsMath-1.2.7/commonsMath/inst/java/commons-math3-3.6.1.jar |only commonsMath-1.2.7/commonsMath/inst/java/scala-2.11/commonsMath.jar |binary commonsMath-1.2.7/commonsMath/inst/java/scala-2.12/commonsMath.jar |binary commonsMath-1.2.7/commonsMath/inst/java/scala-2.13/commonsMath.jar |binary commonsMath-1.2.7/commonsMath/inst/java/scala-2.13/scala-parallel-collections_2.13-0.2.0.jar |only commonsMath-1.2.7/commonsMath/java/commonsMath-source.jar |binary commonsMath-1.2.7/commonsMath/vignettes/commonsMath.Rmd | 2 18 files changed, 354 insertions(+), 94 deletions(-)
Title: Badge for R Package
Description: Query information and generate badge for using in README and GitHub Pages.
Author: Guangchuang Yu [aut, cre] ,
Gregor de Cillia [ctb],
Dirk Eddelbuettel [ctb],
Maelle Salmon [ctb],
Robrecht Cannoodt [ctb] ,
Alexander Rossell Hayes [ctb] ,
Waldir Leoncio [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between badger versions 0.2.2 dated 2022-11-05 and 0.2.3 dated 2023-01-28
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 4 ++++ R/badge.R | 4 ++-- tests/testthat/test-badges.R | 4 ++-- 5 files changed, 16 insertions(+), 12 deletions(-)
Title: A Generalized Multiclass Support Vector Machine
Description: The GenSVM classifier is a generalized multiclass support vector
machine (SVM). This classifier aims to find decision boundaries that
separate the classes with as wide a margin as possible. In GenSVM, the
loss function is very flexible in the way that misclassifications are
penalized. This allows the user to tune the classifier to the dataset
at hand and potentially obtain higher classification accuracy than
alternative multiclass SVMs. Moreover, this flexibility means that
GenSVM has a number of other multiclass SVMs as special cases. One of
the other advantages of GenSVM is that it is trained in the primal
space, allowing the use of warm starts during optimization. This
means that for common tasks such as cross validation or repeated model
fitting, GenSVM can be trained very quickly. Based on: G.J.J. van den
Burg and P.J.F. Groenen (2018) <https://www.jmlr.org/papers/v17/14-526.html>.
Author: Gertjan van den Burg [aut, cre],
Patrick Groenen [ctb]
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Diff between gensvm versions 0.1.6 dated 2022-04-09 and 0.1.7 dated 2023-01-28
DESCRIPTION | 8 +++--- MD5 | 20 ++++++++--------- NEWS.md | 6 +++++ src/gensvm/include/gensvm_globals.h | 3 +- src/gensvm/include/gensvm_io.h | 2 - src/gensvm/include/gensvm_rand.h | 2 - src/gensvm/src/gensvm_gridsearch.c | 42 +++++++++++++++++++++++------------- src/gensvm/src/gensvm_io.c | 17 +++++++++----- src/gensvm/src/gensvm_print.c | 25 +++++++++++++++++---- src/gensvm/src/gensvm_rand.c | 6 ++--- src/gensvm_wrapper.c | 3 ++ 11 files changed, 88 insertions(+), 46 deletions(-)
Title: Puzzle Game for the R Console
Description: Puzzle game that can be played in the R console.
Restore the pixel art by shifting rows.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>
Diff between pixelpuzzle versions 1.0.0 dated 2021-02-01 and 1.0.1 dated 2023-01-28
DESCRIPTION | 9 ++++----- MD5 | 2 +- 2 files changed, 5 insertions(+), 6 deletions(-)
Title: Retro Logic Game
Description: Logic game in the style of the early 1980s home computers
that can be played in the R console. This game is inspired by
Mastermind, a game that became popular in the 1970s.
Can you break the code?
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>
Diff between codebreaker versions 0.0.2 dated 2020-11-12 and 1.0.1 dated 2023-01-28
DESCRIPTION | 9 ++++----- MD5 | 8 ++++---- NEWS.md | 6 +++++- R/codebreaker.R | 2 +- README.md | 4 ++++ 5 files changed, 18 insertions(+), 11 deletions(-)
Title: Time Varying GARCH Modelling
Description: Simulation, estimation and inference for univariate and multivariate TV(s)-GARCH(p,q,r)-X models, where s indicates the number and shape of the transition functions, p is the ARCH order, q is the GARCH order, r is the asymmetry order, and 'X' indicates that covariates can be included. In the multivariate case, variances are estimated equation by equation and dynamic conditional correlations are allowed. The TV long-term component of the variance as in the multiplicative TV-GARCH model of Amado and Ter{\"a}svirta (2013) <doi:10.1016/j.jeconom.2013.03.006> introduces non-stationarity whereas the GARCH-X short-term component describes conditional heteroscedasticity. Maximisation by parts leads to consistent and asymptotically normal estimates.
Author: Susana Campos-Martins [aut, cre], Genaro Sucarrat [ctb]
Maintainer: Susana Campos-Martins <susana.martins@nuffield.ox.ac.uk>
Diff between tvgarch versions 2.2 dated 2021-12-21 and 2.3 dated 2023-01-28
tvgarch-2.2/tvgarch/R/coef.mtvgarch.R |only tvgarch-2.2/tvgarch/R/coef.tvgarch.R |only tvgarch-2.2/tvgarch/R/coef.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/fitted.mtvgarch.R |only tvgarch-2.2/tvgarch/R/fitted.tvgarch.R |only tvgarch-2.2/tvgarch/R/fitted.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/logLik.mtvgarch.R |only tvgarch-2.2/tvgarch/R/logLik.tvgarch.R |only tvgarch-2.2/tvgarch/R/logLik.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/nobs.mtvgarch.R |only tvgarch-2.2/tvgarch/R/nobs.tvgarch.R |only tvgarch-2.2/tvgarch/R/nobs.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/plot.mtvgarch.R |only tvgarch-2.2/tvgarch/R/plot.tvgarch.R |only tvgarch-2.2/tvgarch/R/plot.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/predict.mtvgarch.R |only tvgarch-2.2/tvgarch/R/predict.tvgarch.R |only tvgarch-2.2/tvgarch/R/predict.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/print.mtvgarch.R |only tvgarch-2.2/tvgarch/R/print.tvgarch.R |only tvgarch-2.2/tvgarch/R/print.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/quantile.mtvgarch.R |only tvgarch-2.2/tvgarch/R/quantile.tvgarch.R |only tvgarch-2.2/tvgarch/R/quantile.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/residuals.mtvgarch.R |only tvgarch-2.2/tvgarch/R/residuals.tvgarch.R |only tvgarch-2.2/tvgarch/R/residuals.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/summary.mtvgarch.R |only tvgarch-2.2/tvgarch/R/summary.tvgarch.R |only tvgarch-2.2/tvgarch/R/summary.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/toLatex.mtvgarch.R |only tvgarch-2.2/tvgarch/R/toLatex.tvgarch.R |only tvgarch-2.2/tvgarch/R/toLatex.tvgarchTest.R |only tvgarch-2.2/tvgarch/R/vcov.mtvgarch.R |only tvgarch-2.2/tvgarch/R/vcov.tvgarch.R |only tvgarch-2.2/tvgarch/R/vcov.tvgarchTest.R |only tvgarch-2.2/tvgarch/man/garchObj.Rd |only tvgarch-2.3/tvgarch/DESCRIPTION | 8 - tvgarch-2.3/tvgarch/MD5 | 80 ++++---------- tvgarch-2.3/tvgarch/NAMESPACE | 7 - tvgarch-2.3/tvgarch/NEWS | 58 +++++++--- tvgarch-2.3/tvgarch/R/dccObj.R | 4 tvgarch-2.3/tvgarch/R/garchObj.R | 4 tvgarch-2.3/tvgarch/R/mtvgarch-methods.R |only tvgarch-2.3/tvgarch/R/mtvgarch.R | 12 +- tvgarch-2.3/tvgarch/R/mtvgarchSim.R | 3 tvgarch-2.3/tvgarch/R/tv.R | 4 tvgarch-2.3/tvgarch/R/tvObj.R | 11 +- tvgarch-2.3/tvgarch/R/tvgarch-internal.R | 2 tvgarch-2.3/tvgarch/R/tvgarch-methods.R |only tvgarch-2.3/tvgarch/R/tvgarch.R | 139 ++++++++++++++++++++------ tvgarch-2.3/tvgarch/R/tvgarchObj.R |only tvgarch-2.3/tvgarch/R/tvgarchSim.R | 11 +- tvgarch-2.3/tvgarch/R/tvgarchTest-methods.R |only tvgarch-2.3/tvgarch/man/coef.mtvgarch.Rd | 14 +- tvgarch-2.3/tvgarch/man/coef.tvgarch.Rd | 16 +- tvgarch-2.3/tvgarch/man/mtvgarch.Rd | 14 ++ tvgarch-2.3/tvgarch/man/mtvgarchSim.Rd | 2 tvgarch-2.3/tvgarch/man/tvgarch-package.Rd | 4 tvgarch-2.3/tvgarch/man/tvgarch.Rd | 11 +- tvgarch-2.3/tvgarch/man/tvgarchObj.Rd |only tvgarch-2.3/tvgarch/man/tvgarchTest.Rd | 2 62 files changed, 254 insertions(+), 152 deletions(-)
Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance
Spectroscopy data. The package includes methods for spectral fitting: Wilson
(2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018)
<DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] ,
Yong Wang [ctb],
John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>
Diff between spant versions 2.6.0 dated 2023-01-06 and 2.7.0 dated 2023-01-28
DESCRIPTION | 8 - MD5 | 76 +++++++------ NAMESPACE | 15 ++ NEWS.md | 6 + R/abfit.R | 48 +++++++- R/amp_scaling.R | 62 ++++++++++ R/lofdc.R |only R/mol_parameters.R | 68 ++++++++--- R/mrs_data_display.R | 5 R/mrs_data_proc.R | 171 ++++++++++++++++++++++++++++-- R/mrs_read_dicom.R | 9 + R/mrs_read_ima.R | 3 R/mrs_read_list_data.R | 2 R/mrs_read_paravis.R | 5 R/mrs_read_pfile.R | 5 R/mrs_read_rda.R | 5 R/mrs_read_spar_sdat.R | 5 R/mrs_read_twix.R | 3 R/mrs_read_varian.R | 4 R/pulse_sequences.R | 20 ++- R/rats.R | 64 ++++++++++- R/relaxation_fitting.R |only R/utils.R | 23 +++- inst/doc/spant-intro.html | 122 ++++++++++----------- inst/doc/spant-metabolite-simulation.html | 3 inst/doc/spant-preprocessing.html | 4 man/abfit_opts.Rd | 17 ++ man/crop_td_pts_end.Rd |only man/fit_t1_ti_array.Rd |only man/fit_t1_tr_array.Rd |only man/fit_t2_te_array.Rd |only man/lofdc.Rd |only man/mask_xy_corners.Rd |only man/mask_xy_ellipse.Rd |only man/mean_vec_blocks.Rd |only man/rats.Rd | 24 ++++ man/recon_imag.Rd |only man/recon_imag_vec.Rd |only man/scale_amp_molal.Rd |only man/scale_amp_molal_pvc.Rd | 2 man/zero_td_pts_end.Rd |only man/zf.Rd | 11 + tests/testthat/abfit_res_coarse.rds |binary tests/testthat/abfit_res_default.rds |binary tests/testthat/abfit_res_fine.rds |binary tests/testthat/abfit_res_no_optim.rds |binary 46 files changed, 626 insertions(+), 164 deletions(-)
Title: Procrustes Cross-Validation
Description: Implements Procrustes cross-validation method for Principal Component Analysis, Principal Component Regression and Partial Least Squares regression models. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.
Author: Sergey Kucheryavskiy [aut, cre]
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>
Diff between pcv versions 1.0.0 dated 2022-12-05 and 1.0.1 dated 2023-01-28
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/pcvcrossval.R | 2 +- R/pcvpls.R | 3 ++- tests/testthat/test.R | 11 +++++++++-- 5 files changed, 20 insertions(+), 12 deletions(-)
Title: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
Description: Implementation of the drift-diffusion mixed model for category learning as described in Paulon et al. (2021) <doi:10.1080/01621459.2020.1801448>.
Author: Giorgio Paulon [aut, cre],
Abhra Sarkar [aut, ctb]
Maintainer: Giorgio Paulon <giorgio.paulon@utexas.edu>
Diff between lddmm versions 0.1.0 dated 2021-11-08 and 0.2.0 dated 2023-01-28
DESCRIPTION | 19 +- LICENSE | 2 MD5 | 32 +-- NAMESPACE | 6 R/fcts.R | 54 ++---- README.md | 12 - build/vignette.rds |binary inst/doc/minimal_example.R | 1 inst/doc/minimal_example.Rmd | 3 inst/doc/minimal_example.html | 344 +++++++++++++++++++++++++++++++++--------- man/LDDMM.Rd | 8 man/extract_post_draws.Rd | 2 man/extract_post_mean.Rd | 2 man/plot_RT.Rd | 2 man/plot_accuracy.Rd | 2 man/plot_post_pars.Rd | 2 vignettes/minimal_example.Rmd | 3 17 files changed, 345 insertions(+), 149 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 4.0.0 dated 2022-12-19 and 5.0.0 dated 2023-01-28
DESCRIPTION | 14 +++--- MD5 | 28 +++++++++--- NAMESPACE | 98 +++++++++++++++++++++++--------------------- NEWS.md | 7 +++ R/CPP.R |only R/Polynomials.R | 4 - R/RcppExports.R |only R/aaa.R |only README.md | 65 ++++++++++++++++++++++++----- cleanup |only configure |only inst/essais |only man/JackPolCPP.Rd |only man/SchurPolCPP.Rd |only man/ZonalPolCPP.Rd |only man/ZonalQPolCPP.Rd |only src |only tests/testthat/test-jack.R | 11 ++++ tests/testthat/test-schur.R | 10 ++++ 19 files changed, 165 insertions(+), 72 deletions(-)