Title: Continuous-Time Multivariate Analysis
Description: Implements a basis function or functional data analysis framework
for several techniques of multivariate analysis in continuous-time
setting. Specifically, we introduced continuous-time analogues of
several classical techniques of multivariate analysis, such as
principal component analysis, canonical correlation analysis,
Fisher linear discriminant analysis, K-means clustering, and so
on. Details are in Biplab Paul, Philip T. Reiss, Erjia Cui and Noemi Foa (2025)
"Continuous-time multivariate analysis" <doi: 10.1080/10618600.2024.2374570>.
Author: Biplab Paul [aut, cre],
Philip Tzvi Reiss [aut],
Noemi Foa [aut],
Dror Arbiv [aut]
Maintainer: Biplab Paul <paul.biplab497@gmail.com>
Diff between ctmva versions 1.5.0 dated 2025-11-20 and 1.6.0 dated 2026-01-31
DESCRIPTION | 13 +++++++------ MD5 | 12 ++++++++++-- NAMESPACE | 25 +++++++++++++++++++++++-- R/mds.ct.R |only R/utils.R |only man/ctmva-internal.Rd |only man/mds.ct.Rd |only man/plot.mds.ct.Rd |only man/procrustes.mds.ct.Rd |only man/procrustes.plot.mds.Rd |only man/s3.Rd |only 11 files changed, 40 insertions(+), 10 deletions(-)
Title: A Framework for Investment Strategy Simulation
Description: Provides a framework for performing discrete (share-level) simulations of
investment strategies. Simulated portfolios optimize exposure to an input signal subject
to constraints such as position size and factor exposure. For background see L. Chincarini
and D. Kim (2010, ISBN:978-0-07-145939-6) "Quantitative Equity Portfolio Management".
Author: Jeff Enos [cre, aut, cph],
David Kane [aut],
Ben Czekanski [ctb],
Robert Hoover [ctb],
Jack Luby [ctb],
Nils Wallin [ctb]
Maintainer: Jeff Enos <jeffrey.enos@gmail.com>
Diff between strand versions 0.2.2 dated 2025-09-21 and 0.2.3 dated 2026-01-31
DESCRIPTION | 8 MD5 | 12 NAMESPACE | 2 R/calculate_exposures.R | 4 R/strand.R | 2 build/vignette.rds |binary inst/doc/strand.html | 1002 ++++++++++++++++++++++++++++++++---------------- 7 files changed, 691 insertions(+), 339 deletions(-)
Title: R for High-Dimensional Molecular Data
Description: Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.
Author: Sean Hackett [aut, cre] ,
Calico Life Sciences LLC [cph, fnd]
Maintainer: Sean Hackett <seanrhackett@gmail.com>
This is a re-admission after prior archival of version 1.1.3 dated 2023-09-21
Diff between romic versions 1.1.3 dated 2023-09-21 and 1.3.3 dated 2026-01-31
DESCRIPTION | 26 - LICENSE | 7 MD5 | 115 +++--- NAMESPACE | 6 NEWS.md | 66 +++ R/app_heatmap.R | 145 ++++---- R/data.R | 8 R/data_classes.R | 354 ++++++++++++-------- R/design.R | 72 +++- R/dim_reduction.R | 276 +++++++++++----- R/export.R | 133 +++++-- R/filters.R | 86 +++-- R/hclust.R | 99 +++-- R/module_filter.R | 4 R/module_ggbiv.R | 2 R/module_ggplot.R | 16 R/module_gguniv.R | 2 R/module_lasso.R | 6 R/module_plotsaver.R | 2 R/module_sort.R | 24 - R/mutates.R | 214 +++++++++--- R/romic-package.R | 52 +-- R/utils.R | 50 +- README.md | 16 build/vignette.rds |binary data/brauer_2008.rda |binary data/brauer_2008_tidy.rda |binary data/brauer_2008_triple.rda |binary inst/doc/romic.R | 3 inst/doc/romic.Rmd | 3 inst/doc/romic.html | 7 man/calculate_sample_mahalanobis_distances.Rd |only man/check_design.Rd |only man/convert_wide_to_tidy_omic.Rd | 3 man/export_tomic_as_wide.Rd | 3 man/filter_tomic.Rd | 8 man/get_design_tbl.Rd | 6 man/impute_missing_values.Rd | 3 man/plot_heatmap.Rd | 23 - man/plot_missing_values.Rd |only man/reform_tidy_omic.Rd |only man/remove_missing_values.Rd | 6 man/romic-package.Rd | 13 man/tomic_to_matrix.Rd |only man/update_sample_factors.Rd |only man/update_tidy_omic.Rd | 7 tests/testthat/_snaps/data_classes.md | 88 +++-- tests/testthat/_snaps/design.md | 16 tests/testthat/_snaps/dim_reduction.md |only tests/testthat/_snaps/filters.md | 446 +++++++++++++++++++++++++- tests/testthat/_snaps/mutates.md | 67 +++ tests/testthat/helper.R | 2 tests/testthat/test-app_heatmap.R | 13 tests/testthat/test-data_classes.R | 260 ++++++++++++++- tests/testthat/test-design.R | 30 + tests/testthat/test-dim_reduction.R | 22 + tests/testthat/test-export.R | 4 tests/testthat/test-filters.R | 40 +- tests/testthat/test-hclust.R | 177 ++++++++++ tests/testthat/test-mutates.R | 84 ++++ tests/testthat/test-utils.R | 8 vignettes/romic.Rmd | 3 62 files changed, 2418 insertions(+), 708 deletions(-)
Title: German Election Database (GERDA)
Description: Provides tools to download comprehensive datasets of local,
state, and federal election results in Germany from 1990 to 2025. The package
facilitates access to data on turnout, vote shares for major parties, and
demographic information across different levels of government (municipal, state,
and federal). It offers access to geographically harmonized datasets
that account for changes in municipal boundaries over time and incorporate
mail-in voting districts. Includes bundled county-level covariates from INKAR
and municipality-level Census 2022 data.
Users can easily retrieve, clean, and standardize German electoral data,
making it ready for analysis. Data is sourced from
<https://github.com/awiedem/german_election_data>.
Author: Hanno Hilbig [aut, cre]
Maintainer: Hanno Hilbig <hhilbig@ucdavis.edu>
Diff between gerda versions 0.4.0 dated 2025-11-12 and 0.5.0 dated 2026-01-31
DESCRIPTION | 28 +++--- MD5 | 46 +++++----- NAMESPACE | 3 NEWS.md | 17 +++ R/gerda_census.R |only R/gerda_covariates.R | 19 +++- R/gerda_data_list.R | 15 +++ R/load_gerda_web.R | 21 ++-- R/party_crosswalk.R | 2 R/sysdata.rda |binary README.md | 52 +++++++++-- build/vignette.rds |binary inst/doc/gerda.R | 18 +++ inst/doc/gerda.Rmd | 84 ++++++++++++++---- inst/doc/gerda.html | 150 +++++++++++++++++++++++++-------- man/add_gerda_census.Rd |only man/add_gerda_covariates.Rd | 2 man/gerda_census.Rd |only man/gerda_census_codebook.Rd |only man/gerda_covariates.Rd | 11 +- man/gerda_covariates_codebook.Rd | 2 man/gerda_data_list.Rd | 12 ++ man/party_crosswalk.Rd | 2 tests/testthat/test-gerda_census.R |only tests/testthat/test-gerda_covariates.R |only tests/testthat/test-integration.R | 2 vignettes/gerda.Rmd | 84 ++++++++++++++---- 27 files changed, 440 insertions(+), 130 deletions(-)
More information about contactsurveys at CRAN
Permanent link
Title: Map Pages of Memory
Description: R interface to POSIX mmap and Window's MapViewOfFile.
Author: Jeffrey A. Ryan [aut, cre]
Maintainer: Jeffrey A. Ryan <jeff.a.ryan@gmail.com>
Diff between mmap versions 0.6-23 dated 2025-12-09 and 0.6-24 dated 2026-01-31
DESCRIPTION | 9 +++++---- MD5 | 6 +++--- inst/doc/mmap.pdf |binary src/mmap.c | 2 -- 4 files changed, 8 insertions(+), 9 deletions(-)
Title: MAP-Bayesian Estimation of PK Parameters
Description: Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in 'mrgsolve', typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format. The performance of the package was described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.
Author: Felicien Le Louedec [aut, cre] ,
Kyle T Baron [ctb] ,
Laura Morvan [ctb]
Maintainer: Felicien Le Louedec <felicienlelouedec@proton.me>
Diff between mapbayr versions 0.10.1 dated 2025-08-21 and 0.10.2 dated 2026-01-31
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 4 ++++ R/modelaveraging.R | 8 ++++---- build/partial.rdb |binary 5 files changed, 16 insertions(+), 12 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-05-27 0.0.7
2024-10-17 0.0.6
2024-08-17 0.0.5
2024-01-21 0.0.3
2023-10-09 0.0.2
2023-09-28 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-12-04 1.5
2015-11-11 1.4
2015-09-28 1.3
2015-02-19 1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-09 3.0.2
2021-05-06 3.0.1
2021-02-25 3.0.0
2020-12-17 2.0.0
2020-09-18 1.1.1
2020-06-18 1.1.0
2019-08-29 0.7
2018-10-29 0.4
2018-09-16 0.2
2018-08-11 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-05-27 1.3.4
2025-02-19 1.3.3
2024-10-18 1.3.1
2024-01-21 1.2.0
2023-09-29 1.1.0
2023-09-02 1.0.0
2023-08-31 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-08-21 1.13.5
2022-12-07 1.13.3
2022-05-06 1.11.0
2022-02-28 1.10.1
2022-02-13 1.9.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-04-24 0.1.1
2022-08-20 0.1.0
2020-07-12 0.0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-11-02 0.2-3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-11-02 4.4-0
2015-11-13 4.3
2013-09-13 4.2-2
2013-06-21 4.2-0
2012-08-11 4.1-1
2012-08-07 4.0-2
2012-03-02 3.0-1
2011-02-06 3.0-0
2010-09-29 2.1-0
2010-08-30 2.0-0
2010-03-21 1.6.1
2010-01-18 1.6
2010-01-13 1.5.1
2009-12-04 1.5
2009-10-07 1.4.2
2009-10-01 1.4.1
2009-09-09 1.4
2009-05-20 1.3
2009-05-18 1.2
2009-04-27 1.1
2009-04-26 1.0
Title: Fit 'TabNet' Models for Classification and Regression
Description: Implements the 'TabNet' model by Sercan O. Arik et al. (2019)
<doi:10.48550/arXiv.1908.07442> with 'Coherent Hierarchical Multi-label
Classification Networks' by Giunchiglia et al. <doi:10.48550/arXiv.2010.10151> and
provides a consistent interface for fitting and creating predictions.
It's also fully compatible with the 'tidymodels' ecosystem.
Author: Daniel Falbel [aut],
RStudio [cph],
Christophe Regouby [cre, ctb],
Egill Fridgeirsson [ctb],
Philipp Haarmeyer [ctb],
Sven Verweij [ctb]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>
Diff between tabnet versions 0.7.0 dated 2025-04-16 and 0.8.0 dated 2026-01-31
tabnet-0.7.0/tabnet/R/sparsemax.R |only tabnet-0.7.0/tabnet/man/figures/README-unnamed-chunk-2-1.png |only tabnet-0.7.0/tabnet/man/figures/README-unnamed-chunk-4-1.png |only tabnet-0.7.0/tabnet/man/figures/README-unnamed-chunk-5-1.png |only tabnet-0.7.0/tabnet/po/R-fr.mo |only tabnet-0.8.0/tabnet/DESCRIPTION | 14 tabnet-0.8.0/tabnet/MD5 | 129 +-- tabnet-0.8.0/tabnet/NAMESPACE | 5 tabnet-0.8.0/tabnet/NEWS.md | 18 tabnet-0.8.0/tabnet/R/dials.R | 11 tabnet-0.8.0/tabnet/R/explain.R | 8 tabnet-0.8.0/tabnet/R/hardhat.R | 227 ------ tabnet-0.8.0/tabnet/R/loss.R |only tabnet-0.8.0/tabnet/R/mask-type.R |only tabnet-0.8.0/tabnet/R/model.R | 56 - tabnet-0.8.0/tabnet/R/parsnip.R | 18 tabnet-0.8.0/tabnet/R/pretraining.R | 80 -- tabnet-0.8.0/tabnet/R/tab-network.R | 212 ++--- tabnet-0.8.0/tabnet/R/utils.R |only tabnet-0.8.0/tabnet/README.md | 71 + tabnet-0.8.0/tabnet/build/vignette.rds |binary tabnet-0.8.0/tabnet/inst/29e541ca-4c53-4cd4-b836-4b4d84fab315.png |only tabnet-0.8.0/tabnet/inst/2b822786-54cf-4828-aab9-db7f98da31ec.png |only tabnet-0.8.0/tabnet/inst/5bfd3ed4-7a93-47ad-a8fc-3b1b471a8689.png |only tabnet-0.8.0/tabnet/inst/WORDLIST | 11 tabnet-0.8.0/tabnet/inst/a-chocolate-tablet-where-we-can-see-multiple-line-(1).png |only tabnet-0.8.0/tabnet/inst/a-chocolate-tablet-where-we-can-see-multiple-line-(2).png |only tabnet-0.8.0/tabnet/inst/a-chocolate-tablet-where-we-can-see-multiple-line-.png |binary tabnet-0.8.0/tabnet/inst/bd89baf7-a0cc-4a13-810e-052183b166c3.png |only tabnet-0.8.0/tabnet/inst/doc/Hierarchical_classification.html | 5 tabnet-0.8.0/tabnet/inst/doc/Missing_data_predictors.html | 9 tabnet-0.8.0/tabnet/inst/doc/aum_loss.R |only tabnet-0.8.0/tabnet/inst/doc/aum_loss.Rmd |only tabnet-0.8.0/tabnet/inst/doc/aum_loss.html |only tabnet-0.8.0/tabnet/inst/doc/interpretation.R | 8 tabnet-0.8.0/tabnet/inst/doc/interpretation.Rmd | 24 tabnet-0.8.0/tabnet/inst/doc/interpretation.html | 82 -- tabnet-0.8.0/tabnet/inst/doc/selfsupervised_training.html | 5 tabnet-0.8.0/tabnet/inst/doc/tidymodels-interface.R | 13 tabnet-0.8.0/tabnet/inst/doc/tidymodels-interface.Rmd | 26 tabnet-0.8.0/tabnet/inst/doc/tidymodels-interface.html | 31 tabnet-0.8.0/tabnet/inst/po/fr/LC_MESSAGES/R-tabnet.mo |binary tabnet-0.8.0/tabnet/man/autoplot.tabnet_explain.Rd | 2 tabnet-0.8.0/tabnet/man/autoplot.tabnet_fit.Rd | 2 tabnet-0.8.0/tabnet/man/check_compliant_node.Rd | 4 tabnet-0.8.0/tabnet/man/entmax15.Rd |only tabnet-0.8.0/tabnet/man/figures/README-model-explain-1.png |binary tabnet-0.8.0/tabnet/man/figures/README-model-fit-1.png |binary tabnet-0.8.0/tabnet/man/figures/README-step-explain-1.png |binary tabnet-0.8.0/tabnet/man/figures/README-step-pretrain-1.png |binary tabnet-0.8.0/tabnet/man/get_tau.Rd |only tabnet-0.8.0/tabnet/man/min_grid.tabnet.Rd | 3 tabnet-0.8.0/tabnet/man/nn_aum_loss.Rd |only tabnet-0.8.0/tabnet/man/nn_prune_head.Rd | 2 tabnet-0.8.0/tabnet/man/node_to_df.Rd | 4 tabnet-0.8.0/tabnet/man/sparsemax.Rd |only tabnet-0.8.0/tabnet/man/tabnet.Rd | 7 tabnet-0.8.0/tabnet/man/tabnet_config.Rd | 7 tabnet-0.8.0/tabnet/man/tabnet_explain.Rd | 2 tabnet-0.8.0/tabnet/man/tabnet_fit.Rd | 2 tabnet-0.8.0/tabnet/man/tabnet_nn.Rd | 8 tabnet-0.8.0/tabnet/man/tabnet_params.Rd | 2 tabnet-0.8.0/tabnet/man/tabnet_pretrain.Rd | 2 tabnet-0.8.0/tabnet/po/R-fr.po | 369 ++++++---- tabnet-0.8.0/tabnet/po/R-tabnet.pot | 193 ++--- tabnet-0.8.0/tabnet/tests/testthat/Rplots.pdf |binary tabnet-0.8.0/tabnet/tests/testthat/helper-tensor.R | 1 tabnet-0.8.0/tabnet/tests/testthat/test-hardhat_interfaces.R | 28 tabnet-0.8.0/tabnet/tests/testthat/test-hardhat_parameters.R | 105 ++ tabnet-0.8.0/tabnet/tests/testthat/test-hardhat_scenarios.R | 17 tabnet-0.8.0/tabnet/tests/testthat/test-loss.R |only tabnet-0.8.0/tabnet/tests/testthat/test-mask-type.R |only tabnet-0.8.0/tabnet/tests/testthat/test-missing_values.R | 4 tabnet-0.8.0/tabnet/tests/testthat/test_translations.R | 12 tabnet-0.8.0/tabnet/vignettes/aum_loss.Rmd |only tabnet-0.8.0/tabnet/vignettes/aum_loss_qmd.html |only tabnet-0.8.0/tabnet/vignettes/interpretation.Rmd | 24 tabnet-0.8.0/tabnet/vignettes/tidymodels-interface.Rmd | 26 78 files changed, 930 insertions(+), 959 deletions(-)
Title: Stability Selection with Error Control
Description: Resampling procedures to assess the stability of selected variables
with additional finite sample error control for high-dimensional variable
selection procedures such as Lasso or boosting. Both, standard stability
selection (Meinshausen & Buhlmann, 2010, <doi:10.1111/j.1467-9868.2010.00740.x>)
and complementary pairs stability selection with improved error bounds
(Shah & Samworth, 2013, <doi:10.1111/j.1467-9868.2011.01034.x>) are
implemented. The package can be combined with arbitrary user specified
variable selection approaches.
Author: Benjamin Hofner [aut, cre] ,
Torsten Hothorn [aut]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>
Diff between stabs versions 0.6-4 dated 2021-01-29 and 0.7-1 dated 2026-01-31
ChangeLog | 75 ++++ DESCRIPTION | 21 - MD5 | 38 +- R/fitfuns.R | 16 R/helpers.R | 6 R/stabsel.R | 48 ++ README.md | 27 - build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 33 -- inst/NEWS.Rd | 32 + inst/doc/Using_stabs.R | 22 - inst/doc/Using_stabs.html | 756 ++++++++++++++++++++++++++-------------------- man/check_folds.Rd | 2 man/fitfuns.Rd | 23 - man/plot.Rd | 9 man/run_stabsel.Rd | 2 man/stabsel.Rd | 33 +- man/stabsel_parameters.Rd | 5 man/stabsel_stabsel.Rd | 23 - 20 files changed, 732 insertions(+), 439 deletions(-)
Title: Configurable Function for Solving Families of Nonlinear
Equations
Description: This is designed for use with an arbitrary set of equations with
an arbitrary set of unknowns.
The user selects "fixed" values for enough unknowns to leave as many variables as
there are equations, which in most cases means the system is properly
defined and a unique solution exists. The function, the fixed values
and initial values for the remaining unknowns are fed to a nonlinear backsolver.
The original version of "TK!Solver" , now a product of Universal Technical Systems (<https://www.uts.com>) was the inspiration for this function.
Author: Carl Witthoft [aut, cre]
Maintainer: Carl Witthoft <cellocgw@gmail.com>
Diff between ktsolve versions 1.3.1 dated 2023-08-29 and 1.4 dated 2026-01-31
ChangeLog | 1 DESCRIPTION | 16 ++++--- MD5 | 12 ++--- NAMESPACE | 1 R/ktsolve.R | 102 ++++++++++++++++++++----------------------------- man/ktsolve-package.Rd | 6 +- man/ktsolve.Rd | 6 +- 7 files changed, 66 insertions(+), 78 deletions(-)
Title: Neat Data for Presentation
Description: Utilities for unambiguous, neat and legible
representation of data (date, time stamp, numbers, percentages and strings)
for presentation of analysis , aiming for elegance and consistency.
The purpose of this package is to format data, that is better
for presentation and any automation jobs that reports numbers.
Author: Shivaprakash Suresh [aut, cre, cph]
Maintainer: Shivaprakash Suresh <dswithai@gmail.com>
Diff between neatR versions 0.2.1 dated 2025-11-09 and 0.3.0 dated 2026-01-31
neatR-0.2.1/neatR/R/src.R |only neatR-0.3.0/neatR/DESCRIPTION | 7 neatR-0.3.0/neatR/LICENSE | 2 neatR-0.3.0/neatR/MD5 | 42 ++-- neatR-0.3.0/neatR/NAMESPACE | 2 neatR-0.3.0/neatR/NEWS.md |only neatR-0.3.0/neatR/R/dates.R |only neatR-0.3.0/neatR/R/f.R |only neatR-0.3.0/neatR/R/numbers.R |only neatR-0.3.0/neatR/R/strings.R |only neatR-0.3.0/neatR/R/utils.R |only neatR-0.3.0/neatR/inst/doc/neat-data.R | 90 +++++---- neatR-0.3.0/neatR/inst/doc/neat-data.Rmd | 96 +++++----- neatR-0.3.0/neatR/inst/doc/neat-data.html | 155 ++++++++-------- neatR-0.3.0/neatR/man/f.Rd |only neatR-0.3.0/neatR/man/ndate.Rd | 24 +- neatR-0.3.0/neatR/man/nday.Rd | 18 + neatR-0.3.0/neatR/man/nnumber.Rd | 25 +- neatR-0.3.0/neatR/man/npercent.Rd | 44 +++- neatR-0.3.0/neatR/man/nstring.Rd | 58 +++--- neatR-0.3.0/neatR/man/ntimestamp.Rd | 50 +++-- neatR-0.3.0/neatR/tests/testthat/test-dates.R |only neatR-0.3.0/neatR/tests/testthat/test-deprecation.R |only neatR-0.3.0/neatR/tests/testthat/test-f.R |only neatR-0.3.0/neatR/tests/testthat/test-numbers.R |only neatR-0.3.0/neatR/tests/testthat/test-strings.R |only neatR-0.3.0/neatR/tests/testthat/tests.R | 189 +++++++++++--------- neatR-0.3.0/neatR/tests/testthat/tests2.R |only neatR-0.3.0/neatR/vignettes/neat-data.Rmd | 96 +++++----- 29 files changed, 529 insertions(+), 369 deletions(-)
Title: Deep Learning with 'mlr3'
Description: Deep Learning library that extends the mlr3 framework by building
upon the 'torch' package. It allows to conveniently build, train,
and evaluate deep learning models without having to worry about low level
details. Custom architectures can be created using the graph language
defined in 'mlr3pipelines'.
Author: Sebastian Fischer [cre, aut] ,
Bernd Bischl [ctb] ,
Lukas Burk [ctb] ,
Martin Binder [aut],
Florian Pfisterer [ctb] ,
Carson Zhang [ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>
Diff between mlr3torch versions 0.3.2 dated 2025-10-31 and 0.3.3 dated 2026-01-31
DESCRIPTION | 8 +-- MD5 | 69 +++++++++++++-------------- NEWS.md | 6 ++ R/CallbackSetCheckpoint.R | 2 R/LearnerFTTransformer.R | 2 R/LearnerTorch.R | 11 ++++ R/PipeOpTaskPreprocTorch.R | 6 +- R/lazy_tensor.R | 24 +++++---- R/learner_torch_methods.R | 2 R/materialize.R | 4 - R/task_dataset.R | 2 R/utils.R | 2 man/mlr_learners_torch.Rd | 14 +++++ man/mlr_pipeops_preproc_torch.Rd | 6 +- tests/testthat/_snaps/lazy_tensor.md |only tests/testthat/helper_autotest.R | 7 +- tests/testthat/helper_functions.R | 6 +- tests/testthat/helper_mlr3pipelines.R | 2 tests/testthat/test_LearnerTorch.R | 8 +-- tests/testthat/test_LearnerTorchModel.R | 4 - tests/testthat/test_LearnerTorchTabResNet.R | 2 tests/testthat/test_LearnerTorchVision.R | 2 tests/testthat/test_PipeOpModule.R | 4 - tests/testthat/test_PipeOpTaskPreprocTorch.R | 2 tests/testthat/test_PipeOpTorch.R | 2 tests/testthat/test_PipeOpTorchBlock.R | 2 tests/testthat/test_PipeOpTorchCallbacks.R | 2 tests/testthat/test_PipeOpTorchLoss.R | 2 tests/testthat/test_PipeOpTorchOptimizer.R | 2 tests/testthat/test_TorchCallback.R | 4 - tests/testthat/test_TorchLoss.R | 4 - tests/testthat/test_TorchOptimizer.R | 4 - tests/testthat/test_lazy_tensor.R | 23 ++++----- tests/testthat/test_materialize.R | 16 ++++++ tests/testthat/test_nn_graph.R | 6 +- tests/testthat/test_utils.R | 9 +++ 36 files changed, 165 insertions(+), 106 deletions(-)
Title: Mean Comparison in 'ggplot2'
Description: Add mean comparison annotations to a 'ggplot'.
This package provides an easy way to indicate if two or more groups are significantly different in a 'ggplot'.
Usually you do not need to specify the test method, you only need to tell stat_compare() whether you want to perform a parametric test or a nonparametric test, and stat_compare() will automatically choose the appropriate test method based on your data.
For comparisons between two groups, the p-value is calculated by t-test (parametric) or Wilcoxon rank sum test (nonparametric). For comparisons among more than two groups, the p-value is calculated by One-way ANOVA (parametric) or Kruskal-Wallis test (nonparametric).
Author: Hao Wang [aut, cre]
Maintainer: Hao Wang <wanghao8772@gmail.com>
Diff between ggcompare versions 0.0.5 dated 2025-09-24 and 0.0.6 dated 2026-01-31
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 3 +++ R/GGExtensions.R | 39 +++++++++++++++++++++++++++++---------- man/stat_compare.Rd | 6 ++++++ 5 files changed, 46 insertions(+), 18 deletions(-)
Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network
and provides functionality for geometrical operations,
data analysis and modelling of data on a linear network,
in the 'spatstat' family of packages.
Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks.
Data types defined on a network include point patterns, pixel images, functions, and tessellations.
Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] ,
Rolf Turner [aut, cph] ,
Ege Rubak [aut, cph] ,
Greg McSwiggan [aut, cph],
Tilman Davies [ctb, cph],
Mehdi Moradi [ctb, cph],
Suman Rakshit [ctb, cph],
Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Diff between spatstat.linnet versions 3.4-0 dated 2025-11-29 and 3.4-1 dated 2026-01-31
DESCRIPTION | 18 +-- MD5 | 61 ++++++------- NAMESPACE | 8 + NEWS | 64 +++++++++++++ R/density.lpp.R | 10 +- R/diaglppm.R | 4 R/linequad.R | 8 - R/linfun.R | 104 +++++++++++++++++++++- R/linnet.R | 103 ++++++++++++++++------ R/linnetsurgery.R | 43 +++++++++ R/lintessmakers.R | 5 - R/lpp.R | 5 - R/lppm.R | 58 +++++------- R/lurklppm.R |only R/perspex.R | 97 ++++++++++++++++----- R/quadrattestlpp.R | 2 inst/doc/packagesizes.txt | 1 inst/info/packagesizes.txt | 1 man/density.lpp.Rd | 2 man/densityEqualSplit.Rd | 19 +++- man/densityHeat.lpp.Rd | 54 +++++++---- man/integral.linim.Rd | 25 ++++- man/lppm.Rd | 63 ++++++++++--- man/lurking.lppm.Rd | 183 ++++++++++++++++++++++++++++++++++------ man/macros/defns.Rd | 2 man/persp.linim.Rd | 66 +++++++++++++- man/predict.lppm.Rd | 12 +- man/shortestpath.Rd |only man/spatstat.linnet-internal.Rd | 4 man/threads.Rd |only tests/testsAtoK.R | 2 tests/testsL.R | 5 + tests/testsMtoZ.R | 58 ++++++++++++ 33 files changed, 868 insertions(+), 219 deletions(-)
More information about spatstat.linnet at CRAN
Permanent link
Title: Sequence Manipulation Utilities
Description: Tools for reading and writing biological sequences in multiple
formats, including 'FASTA', 'PHYLIP', 'CLUSTAL', 'STOCKHOLM', 'MEGA' and
'GenBank'. Supports interleaved and sequential layouts where applicable,
converts between formats, and manipulates sequence sets (e.g., filtering by
patterns and computing consensus sequences from alignments). Also includes
functions to download nucleotide records from NCBI by accession.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between seqmagick versions 0.1.7 dated 2024-01-08 and 0.1.8 dated 2026-01-31
DESCRIPTION | 26 ++++++++++++--------- MD5 | 19 ++++++++------- NAMESPACE | 1 NEWS.md | 24 +++++++++++-------- R/NCBI.R | 51 +++++++++++++++++++++++++++++++++++++---- R/seqmagick-package.R |only build/vignette.rds |binary inst/doc/seqmagick.R | 58 +++++++++++++++++++++++------------------------ inst/doc/seqmagick.html | 38 ++++++++++++++---------------- man/download_genbank.Rd | 4 --- man/ncbi_fa_read.Rd |only man/seqmagick-package.Rd |only 12 files changed, 136 insertions(+), 85 deletions(-)
Title: Running Operations for Vectors
Description: Lightweight library for rolling windows operations. Package enables
full control over the window length, window lag and a time indices. With a runner
one can apply any R function on a rolling windows. The package eases work with
equally and unequally spaced time series.
Author: Dawid Kaledkowski [aut, cre]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@gmail.com>
Diff between runner versions 0.4.5 dated 2025-12-01 and 0.4.6 dated 2026-01-31
DESCRIPTION | 10 - MD5 | 27 ++- README.md | 233 +++-------------------------- build/vignette.rds |binary inst/doc/apply_any_r_function.Rmd | 1 inst/doc/apply_any_r_function.html | 4 inst/doc/built-in_functions.Rmd | 2 inst/doc/built-in_functions.html | 3 inst/doc/getting_started_with_runner.R |only inst/doc/getting_started_with_runner.Rmd |only inst/doc/getting_started_with_runner.html |only src/RcppExports.cpp | 235 ++++++++++++++---------------- vignettes/apply_any_r_function.Rmd | 1 vignettes/built-in_functions.Rmd | 2 vignettes/getting_started_with_runner.Rmd |only vignettes/images/constantwindow.png |only vignettes/images/incrementalindex.png |only vignettes/images/laggedwindowklag.png |only 18 files changed, 167 insertions(+), 351 deletions(-)
Title: R Code for Mark Analysis
Description: An interface to the software package MARK that constructs input
files for MARK and extracts the output. MARK was developed by Gary White
and is freely available at <http://www.phidot.org/software/mark/downloads/>
but is not open source.
Author: Jeff Laake [cre, aut],
Eldar Rakhimberdiev [ctb],
Ben Augustine [ctb],
Daniel Turek [ctb],
Brett McClintock [ctb],
Jim Hines [ctb],
analysis from Bret Collier [ctb],
Jay Rotella [ctb],
David Pavlacky [ctb],
Andrew Paul [aut],
Luke Eberhart- Phillips [...truncated...]
Maintainer: Jeff Laake <jefflaake@gmail.com>
Diff between RMark versions 3.0.6 dated 2026-01-14 and 3.0.7 dated 2026-01-31
DESCRIPTION | 13 +++++++------ MD5 | 8 ++++---- NEWS | 9 +++++++++ R/zzz.R | 39 ++++++++++++++++++++++++++++++++------- inst/README.txt | 2 +- 5 files changed, 53 insertions(+), 18 deletions(-)
Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem.
Models include ARIMA, Exponential Smoothing, and additional time series models
from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition"
(<https://otexts.com/fpp2/>).
Refer to "Prophet: forecasting at scale"
(<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre],
Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Diff between modeltime versions 1.3.3 dated 2025-12-17 and 1.3.5 dated 2026-01-31
DESCRIPTION | 6 MD5 | 19 NEWS.md | 8 R/parsnip-arima_boost.R | 34 R/parsnip-prophet_boost.R | 25 R/utils-control-par.R | 22 inst/doc/getting-started-with-modeltime.html | 1642 +++++++++++++++------------ man/arima_xgboost_fit_impl.Rd | 2 man/prophet_boost.Rd | 25 tests/testthat/test-parallel-start-stop.R |only tests/testthat/test-refit-parallel.R | 14 11 files changed, 1063 insertions(+), 734 deletions(-)
Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Complete analytical environment for the construction and analysis
of matrix population models and integral projection models.
Includes the ability to construct historical matrices, which are
2d matrices comprising 3 consecutive times of demographic
information. Estimates both raw and function-based forms of
historical and standard ahistorical matrices. It also estimates
function-based age-by-stage matrices and raw and function-based
Leslie matrices.
Author: Richard P. Shefferson [aut, cre] ,
Johan Ehrlen [aut]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>
Diff between lefko3 versions 6.6.0 dated 2025-10-28 and 6.7.1 dated 2026-01-31
lefko3-6.6.0/lefko3/vignettes/Ch9.10-1.png |only lefko3-6.6.0/lefko3/vignettes/Ch9.11-1.png |only lefko3-6.6.0/lefko3/vignettes/Ch9.6-1.png |only lefko3-6.6.0/lefko3/vignettes/Chapter9.Rmd.orig |only lefko3-6.7.1/lefko3/DESCRIPTION | 8 lefko3-6.7.1/lefko3/MD5 | 116 - lefko3-6.7.1/lefko3/NAMESPACE | 1 lefko3-6.7.1/lefko3/NEWS.md | 38 lefko3-6.7.1/lefko3/R/RcppExports.R | 204 + lefko3-6.7.1/lefko3/R/datamanag.R | 18 lefko3-6.7.1/lefko3/R/matrixcreation.R | 8 lefko3-6.7.1/lefko3/build/vignette.rds |binary lefko3-6.7.1/lefko3/inst/doc/Chapter1.Rmd | 49 lefko3-6.7.1/lefko3/inst/doc/Chapter1.html | 78 lefko3-6.7.1/lefko3/inst/doc/Chapter2.Rmd | 6 lefko3-6.7.1/lefko3/inst/doc/Chapter2.html | 14 lefko3-6.7.1/lefko3/inst/doc/Chapter5.Rmd | 58 lefko3-6.7.1/lefko3/inst/doc/Chapter5.html | 226 + lefko3-6.7.1/lefko3/inst/doc/Chapter6.Rmd | 22 lefko3-6.7.1/lefko3/inst/doc/Chapter6.html | 32 lefko3-6.7.1/lefko3/inst/doc/Chapter8.Rmd | 24 lefko3-6.7.1/lefko3/inst/doc/Chapter8.html | 148 - lefko3-6.7.1/lefko3/inst/doc/Chapter9.R |only lefko3-6.7.1/lefko3/inst/doc/Chapter9.Rmd | 79 lefko3-6.7.1/lefko3/inst/doc/Chapter9.html | 35 lefko3-6.7.1/lefko3/inst/include/basic_funcs/input_stuff.h | 245 ++ lefko3-6.7.1/lefko3/inst/include/basic_funcs/main_utils.h | 328 ++ lefko3-6.7.1/lefko3/inst/include/basic_funcs/mat_stuff.h | 204 + lefko3-6.7.1/lefko3/man/aflefko2.Rd | 3 lefko3-6.7.1/lefko3/man/arlefko2.Rd | 5 lefko3-6.7.1/lefko3/man/density_input.Rd | 81 lefko3-6.7.1/lefko3/man/f_projection3.Rd | 19 lefko3-6.7.1/lefko3/man/projection3.Rd | 30 lefko3-6.7.1/lefko3/man/sup_skeleton.Rd |only lefko3-6.7.1/lefko3/man/supplemental.Rd | 4 lefko3-6.7.1/lefko3/src/DataManagement.cpp | 2 lefko3-6.7.1/lefko3/src/Mats2.cpp | 12 lefko3-6.7.1/lefko3/src/MatsNProj.cpp | 1507 +++++++------ lefko3-6.7.1/lefko3/src/PopChar.cpp | 265 +- lefko3-6.7.1/lefko3/src/RcppExports.cpp | 34 lefko3-6.7.1/lefko3/vignettes/Ch5.19-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch5.20-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch5.21-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch5.25-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch5.26-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch5.29-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch6.16-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch8.14-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch8.16-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch8.21-1.png |binary lefko3-6.7.1/lefko3/vignettes/Ch8.24-1.png |binary lefko3-6.7.1/lefko3/vignettes/Chapter1.Rmd | 49 lefko3-6.7.1/lefko3/vignettes/Chapter2.Rmd | 6 lefko3-6.7.1/lefko3/vignettes/Chapter2.Rmd.orig | 6 lefko3-6.7.1/lefko3/vignettes/Chapter5.Rmd | 58 lefko3-6.7.1/lefko3/vignettes/Chapter5.Rmd.orig | 8 lefko3-6.7.1/lefko3/vignettes/Chapter6.Rmd | 22 lefko3-6.7.1/lefko3/vignettes/Chapter6.Rmd.orig | 12 lefko3-6.7.1/lefko3/vignettes/Chapter8.Rmd | 24 lefko3-6.7.1/lefko3/vignettes/Chapter8.Rmd.orig | 4 lefko3-6.7.1/lefko3/vignettes/Chapter9.Rmd | 79 lefko3-6.7.1/lefko3/vignettes/Lefko3Tutorial.bib | 32 62 files changed, 2753 insertions(+), 1450 deletions(-)
Title: Functions for Learning Bayesian Inference
Description: A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
Author: Jim Albert [aut, cre]
Maintainer: Jim Albert <albert@bgsu.edu>
Diff between LearnBayes versions 2.15.1 dated 2018-03-18 and 2.15.2 dated 2026-01-31
LearnBayes-2.15.1/LearnBayes/build |only LearnBayes-2.15.1/LearnBayes/inst |only LearnBayes-2.15.1/LearnBayes/vignettes |only LearnBayes-2.15.2/LearnBayes/DESCRIPTION | 14 ++-- LearnBayes-2.15.2/LearnBayes/MD5 | 29 +-------- LearnBayes-2.15.2/LearnBayes/NAMESPACE | 3 LearnBayes-2.15.2/LearnBayes/demo/Chapter.2.3.R | 53 ++++++++-------- LearnBayes-2.15.2/LearnBayes/demo/Chapter.9.3.R | 76 ++++++++++++------------ 8 files changed, 80 insertions(+), 95 deletions(-)
Title: Scalable Gaussian-Process Approximations
Description: Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) <doi:10.48550/arXiv.1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <doi:10.48550/arXiv.1706.02205> and MaxMin ordering proposed in Guinness (2018) <doi:10.48550/arXiv.1609.05372>.
Author: Matthias Katzfuss [aut],
Marcin Jurek [aut, cre],
Daniel Zilber [aut],
Wenlong Gong [aut],
Joe Guinness [ctb],
Jingjie Zhang [ctb],
Florian Schaefer [ctb]
Maintainer: Marcin Jurek <marcinjurek1988@gmail.com>
Diff between GPvecchia versions 0.1.7 dated 2024-03-12 and 0.1.8 dated 2026-01-31
DESCRIPTION | 12 ++++++------ MD5 | 10 +++++----- NEWS.md | 4 ++++ R/MRA_utility-functions.r | 4 ++-- inst/doc/GPvecchia_vignette.html | 11 ++++++----- src/U_NZentries.cpp | 20 ++++++++++---------- 6 files changed, 33 insertions(+), 28 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-03-26 1.0.2
2022-12-14 1.0.0
2022-05-31 0.0.3
2022-05-10 0.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-11-14 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-12-09 1.0.0
Title: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
Description: Takes Poisson or Binomial discrete spatial data and runs a Gibbs sampler for a variety of Spatiotemporal Conditional Autoregressive (CAR) models. Includes measures to prevent estimate over-smoothing through a restriction of model informativeness for select models. Also provides tools to load output and get median estimates. Implements methods from Besag, York, and Mollié (1991) "Bayesian image restoration, with two applications in spatial statistics" <doi:10.1007/BF00116466>, Gelfand and Vounatsou (2003) "Proper multivariate conditional autoregressive models for spatial data analysis" <doi:10.1093/biostatistics/4.1.11>, Quick et al. (2017) "Multivariate spatiotemporal modeling of age-specific stroke mortality" <doi:10.1214/17-AOAS1068>, and Quick et al. (2021) "Evaluating the informativeness of the Besag-York-Mollié CAR model" <doi:10.1016/j.sste.2021.100420>.
Author: David DeLara [aut, cre] ,
Centers for Disease Control and Prevention [aut, cph]
Maintainer: David DeLara <sfq1@cdc.gov>
Diff between RSTr versions 1.0.0 dated 2026-01-17 and 1.1.4 dated 2026-01-31
RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_23.Rds |only RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_24.Rds |only RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_25.Rds |only RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_26.Rds |only RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_27.Rds |only RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_28.Rds |only RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_29.Rds |only RSTr-1.0.0/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_30.Rds |only RSTr-1.0.0/RSTr/src/update_lambda.cpp |only RSTr-1.1.4/RSTr/DESCRIPTION | 10 RSTr-1.1.4/RSTr/MD5 | 146 +++---- RSTr-1.1.4/RSTr/NAMESPACE | 4 RSTr-1.1.4/RSTr/R/RcppExports.R | 4 RSTr-1.1.4/RSTr/R/data.R | 8 RSTr-1.1.4/RSTr/R/helper_get_sp_data.R | 2 RSTr-1.1.4/RSTr/R/helper_run_sampler.R | 3 RSTr-1.1.4/RSTr/R/helper_sample_processing.R |only RSTr-1.1.4/RSTr/R/helper_update_lambda.R |only RSTr-1.1.4/RSTr/R/helper_update_sample.R | 8 RSTr-1.1.4/RSTr/R/user_add_neighbors.R | 31 - RSTr-1.1.4/RSTr/R/user_age_standardize.R | 4 RSTr-1.1.4/RSTr/R/user_aggregate_count.R | 18 RSTr-1.1.4/RSTr/R/user_aggregate_samples.R | 32 - RSTr-1.1.4/RSTr/R/user_car.R | 4 RSTr-1.1.4/RSTr/R/user_get_estimates.R | 4 RSTr-1.1.4/RSTr/R/user_get_medians.R | 27 + RSTr-1.1.4/RSTr/R/user_load_model.R | 4 RSTr-1.1.4/RSTr/R/user_load_samples.R | 4 RSTr-1.1.4/RSTr/R/user_split_sample_groups.R |only RSTr-1.1.4/RSTr/R/user_standardize_samples.R | 29 - RSTr-1.1.4/RSTr/R/user_suppress_estimates.R | 4 RSTr-1.1.4/RSTr/R/user_update_model.R | 4 RSTr-1.1.4/RSTr/build/partial.rdb |binary RSTr-1.1.4/RSTr/build/vignette.rds |binary RSTr-1.1.4/RSTr/data/minsplit.rda |only RSTr-1.1.4/RSTr/inst/doc/RSTr-adjacency.R | 19 RSTr-1.1.4/RSTr/inst/doc/RSTr-adjacency.Rmd | 16 RSTr-1.1.4/RSTr/inst/doc/RSTr-adjacency.html | 30 - RSTr-1.1.4/RSTr/inst/doc/RSTr-agestandardize.R | 6 RSTr-1.1.4/RSTr/inst/doc/RSTr-agestandardize.Rmd | 6 RSTr-1.1.4/RSTr/inst/doc/RSTr-agestandardize.html | 101 ++--- RSTr-1.1.4/RSTr/inst/doc/RSTr-informativeness.R | 8 RSTr-1.1.4/RSTr/inst/doc/RSTr-informativeness.Rmd | 8 RSTr-1.1.4/RSTr/inst/doc/RSTr-informativeness.html | 112 ++--- RSTr-1.1.4/RSTr/inst/doc/RSTr-reliability.R | 6 RSTr-1.1.4/RSTr/inst/doc/RSTr-reliability.Rmd | 6 RSTr-1.1.4/RSTr/inst/doc/RSTr-reliability.html | 107 ++--- RSTr-1.1.4/RSTr/inst/doc/RSTr-samples.R | 6 RSTr-1.1.4/RSTr/inst/doc/RSTr-samples.Rmd | 8 RSTr-1.1.4/RSTr/inst/doc/RSTr-samples.html | 148 +++---- RSTr-1.1.4/RSTr/inst/doc/RSTr.R | 8 RSTr-1.1.4/RSTr/inst/doc/RSTr.Rmd | 8 RSTr-1.1.4/RSTr/inst/doc/RSTr.html | 195 ++++------ RSTr-1.1.4/RSTr/inst/extdata/ma_adj.Rds |only RSTr-1.1.4/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_21.Rds |binary RSTr-1.1.4/RSTr/inst/extdata/mstcar_example/lambda/lambda_out_22.Rds |binary RSTr-1.1.4/RSTr/inst/extdata/mstcar_example/mstcar_example.Rds |binary RSTr-1.1.4/RSTr/man/add_neighbors.Rd | 26 - RSTr-1.1.4/RSTr/man/age_standardize.Rd | 4 RSTr-1.1.4/RSTr/man/car.Rd | 4 RSTr-1.1.4/RSTr/man/get_estimates.Rd | 4 RSTr-1.1.4/RSTr/man/load_model.Rd | 4 RSTr-1.1.4/RSTr/man/load_samples.Rd | 4 RSTr-1.1.4/RSTr/man/minsplit.Rd |only RSTr-1.1.4/RSTr/man/split_sample_groups.Rd |only RSTr-1.1.4/RSTr/man/suppress_estimates.Rd | 4 RSTr-1.1.4/RSTr/man/update_model.Rd | 4 RSTr-1.1.4/RSTr/src/RcppExports.cpp | 11 RSTr-1.1.4/RSTr/src/update_Ag.cpp | 11 RSTr-1.1.4/RSTr/src/update_G.cpp | 18 RSTr-1.1.4/RSTr/src/update_Z.cpp | 72 +-- RSTr-1.1.4/RSTr/src/update_beta.cpp | 26 - RSTr-1.1.4/RSTr/src/update_rho.cpp | 14 RSTr-1.1.4/RSTr/src/update_sig2.cpp | 30 - RSTr-1.1.4/RSTr/src/update_tau2.cpp | 44 +- RSTr-1.1.4/RSTr/tests/testthat/test-models.R | 63 --- RSTr-1.1.4/RSTr/vignettes/RSTr-adjacency.Rmd | 16 RSTr-1.1.4/RSTr/vignettes/RSTr-agestandardize.Rmd | 6 RSTr-1.1.4/RSTr/vignettes/RSTr-informativeness.Rmd | 8 RSTr-1.1.4/RSTr/vignettes/RSTr-reliability.Rmd | 6 RSTr-1.1.4/RSTr/vignettes/RSTr-samples.Rmd | 8 RSTr-1.1.4/RSTr/vignettes/RSTr.Rmd | 8 82 files changed, 722 insertions(+), 821 deletions(-)