Title: Accelerated Estimation of Robust Location and Scale
Description: Estimates robust location and scale parameters using
platform-specific Single Instruction, Multiple Data (SIMD) vectorization
and Intel Threading Building Blocks (TBB) for parallel processing.
Implements a novel variance-weighted ensemble estimator that adaptively
combines all available statistics. Methods include logistic
M-estimators, the estimators of Rousseeuw and Croux (1993), the Gini
mean difference, the scaled Median Absolute Deviation (MAD), the scaled
Interquartile Range (IQR), and unbiased standard deviations. Achieves
substantial speedups over existing implementations through an 'Rcpp'
backend with fused single-buffer algorithms that halve memory traffic
for MAD and M-scale estimation, and a unified dispatcher that
automatically selects the optimal estimator based on sample size.
Author: Dennis Alexis Valin Dittrich [aut, cre, cph]
Maintainer: Dennis Alexis Valin Dittrich <davd@economicscience.net>
Diff between robscale versions 0.2.1 dated 2026-03-16 and 0.5.3 dated 2026-03-29
DESCRIPTION | 25 MD5 | 164 NEWS.md | 370 R/RcppExports.R | 24 R/adm.R | 38 R/ci_utils.R | 49 R/gmd.R | 19 R/iqr_scaled.R | 17 R/mad_scaled.R | 23 R/qn.R | 36 R/robLoc.R | 45 R/robScale.R | 62 R/robscale-package.R | 1 R/scale_robust.R | 188 R/sd_c4.R | 17 R/sn.R | 30 build/vignette.rds |only configure | 130 inst/CITATION | 2 inst/doc |only inst/references.bib |only man/adm.Rd | 24 man/gmd.Rd | 2 man/mad_scaled.Rd | 2 man/print.robscale_ci.Rd |only man/print.robscale_ensemble_ci.Rd |only man/qn.Rd | 10 man/robLoc.Rd | 32 man/robScale.Rd | 34 man/scale_robust.Rd | 64 man/sn.Rd | 4 src/Makevars.in | 4 src/RcppExports.cpp | 94 src/adm.cpp | 66 src/diag.cpp |only src/ensemble.cpp | 758 + src/estimators_internal.h | 212 src/gmd.cpp | 83 src/iqr.cpp | 87 src/mad.cpp | 105 src/pdq_select.h | 2 src/qn_estimator.cpp | 306 src/qnsn_constants.h | 2 src/qnsn_hardware_info.h | 142 src/qnsn_kernels.h | 37 src/qnsn_runtime_config.h | 10 src/qnsn_sort_utils.h | 21 src/rob_loc.cpp | 310 src/rob_scale.cpp | 398 src/robscale_config.h | 101 src/robust_core.h | 291 src/sd_c4.cpp | 6 src/selection.h | 5 src/sn_estimator.cpp | 293 src/sort_net.h |12258 ++++++++++++++++++++++++++- src/sort_net_inst.cpp |only src/validate_finite.h |only src/vshaped_mad.h |only src/worker_compat.h |only tests/testthat/fixtures |only tests/testthat/test-adm-cancellation.R |only tests/testthat/test-adm-opt.R |only tests/testthat/test-adm.R | 37 tests/testthat/test-bca-jackknife-remap.R |only tests/testthat/test-build-config.R | 3 tests/testthat/test-ci.R | 2 tests/testthat/test-cpp-validate-finite.R |only tests/testthat/test-cross-check.R | 183 tests/testthat/test-ensemble.R | 6 tests/testthat/test-factors-boundary.R |only tests/testthat/test-fuse1-nr-step.R |only tests/testthat/test-gmd-opt.R |only tests/testthat/test-gmd1-weighted-sum.R |only tests/testthat/test-implosion-guard.R |only tests/testthat/test-input-validation.R |only tests/testthat/test-iqr-correctness.R |only tests/testthat/test-iqr-opt.R |only tests/testthat/test-layout1-transpose.R |only tests/testthat/test-mad-microbuf.R |only tests/testthat/test-mad-opt.R |only tests/testthat/test-mad-scaled.R | 7 tests/testthat/test-qn-constants.R | 14 tests/testthat/test-qn-opt.R |only tests/testthat/test-qnsn-config.R |only tests/testthat/test-qnsn.R | 7 tests/testthat/test-refactor-robloc.R | 6 tests/testthat/test-rob-scale-opt.R |only tests/testthat/test-robScale-nr-production.R |only tests/testthat/test-robScale-oscillation.R |only tests/testthat/test-robScale.R | 41 tests/testthat/test-robloc-aitken.R |only tests/testthat/test-robloc-convergence.R |only tests/testthat/test-robloc-opt.R |only tests/testthat/test-robscale-nr.R |only tests/testthat/test-scale-robust.R | 99 tests/testthat/test-sn-constants.R | 12 tests/testthat/test-sn-correctness.R |only tests/testthat/test-sn-opt.R |only tests/testthat/test-sort-threshold.R |only vignettes |only 100 files changed, 16135 insertions(+), 1285 deletions(-)
Title: Power Analysis for Generalised Linear Mixed Models by Simulation
Description: Calculate power for generalised linear mixed models, using
simulation. Designed to work with models fit using the 'lme4' package.
Described in Green and MacLeod, 2016 <doi:10.1111/2041-210X.12504>.
Author: Peter Green [aut, cre] ,
Catriona MacLeod [aut],
Phillip Alday [ctb]
Maintainer: Peter Green <simr.peter@gmail.com>
Diff between simr versions 1.0.8 dated 2025-08-18 and 1.0.9 dated 2026-03-29
DESCRIPTION | 15 ++++----- MD5 | 40 ++++++++++++------------ NEWS.md | 8 ++++ R/extend.R | 4 +- R/maybe.R | 47 +++++++++++++++++++++++++++- R/modify.R | 62 +++++++++++++++++++++++++++++++++++--- R/new.R | 2 - R/powerCurve.R | 1 R/powerSim.R | 1 R/print.R | 26 +++++++++++---- R/simr.R | 6 +-- R/testLibrary.R | 22 +++++++++++-- build/vignette.rds |binary inst/doc/examples.R | 4 +- inst/doc/examples.html | 29 ++++++++--------- inst/doc/fromscratch.html | 47 +++++++--------------------- tests/testthat/helper_setup.R | 4 +- tests/testthat/test_modify.R | 28 ++++++++++++++++- tests/testthat/test_new.R | 10 ++++++ tests/testthat/test_testLibrary.R | 5 +++ tests/testthat/test_zzz.r | 3 + 21 files changed, 258 insertions(+), 106 deletions(-)
Title: Functionalities for the 'INLA' Package
Description: Contain code to work with a C struct, in short
cgeneric, to define a Gaussian Markov random (GMRF) model.
The cgeneric contain code to specify GMRF elements such as
the graph and the precision matrix, and also the initial and
prior for its parameters, useful for model inference.
It can be accessed from a C program and is the recommended
way to implement new GMRF models in the 'INLA' package
(<https://www.r-inla.org>).
The 'INLAtools' implement functions to evaluate
each one of the model specifications from R.
The implemented functionalities leverage the use
of 'cgeneric' models and provide a way to debug
the code as well to work with the prior for the
model parameters and to sample from it.
A very useful functionality is the Kronecker product method
that creates a new model from multiple cgeneric models.
It also works with the rgeneric, the R version of the
cgeneric intended to easy try implementation of new GMRF models.
The Kronecker between two cgeneric models was used in
Sterr [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] ,
Finn Lindgren [aut] ,
Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>
Diff between INLAtools versions 0.0.9 dated 2026-02-12 and 0.1.0 dated 2026-03-29
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/aaa_methods.R | 8 +------- R/cgeneric.R | 7 ++++--- src/cgeneric_kronecker.c | 19 +++++++++---------- 5 files changed, 21 insertions(+), 27 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-01-30 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-01-04 1.2.1
2021-07-23 1.2.0
2021-06-01 1.1.0
2021-04-02 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-02-22 0.8.0
2025-02-13 0.7.2
2025-01-08 0.7.1
2024-04-05 0.7.0
2023-09-20 0.6.4
2023-08-23 0.6.3
2023-08-07 0.6.2
2022-09-22 0.6.1
2022-08-08 0.6.0
2022-01-03 0.5.3
2021-11-17 0.5.2
Title: Parametric Statistical Modelling and Inference for the
'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data,
mainly spatial point patterns, in the 'spatstat' family of packages.
(Excludes analysis of spatial data on a linear network,
which is covered by the separate package 'spatstat.linnet'.)
Supports parametric modelling, formal statistical inference, and model validation.
Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] ,
Rolf Turner [aut, cph] ,
Ege Rubak [aut, cph] ,
Kasper Klitgaard Berthelsen [ctb],
Achmad Choiruddin [ctb, cph],
Jean-Francois Coeurjolly [ctb],
Ottmar Cronie [ctb],
Tilman Davies [ctb],
Julian Gilbey [ctb],
Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Diff between spatstat.model versions 3.6-1 dated 2026-01-29 and 3.7-0 dated 2026-03-29
DESCRIPTION | 16 +- MD5 | 71 +++++----- NAMESPACE | 33 ++++ NEWS | 40 +++++ R/Kmodel.R | 4 R/clusterprocess.R | 15 ++ R/detPPF-class.R | 6 R/dppmclass.R | 4 R/envelope.R | 272 ++++++++++++++++++++++++++++++---------- R/kppm.R | 19 ++ R/percy.R | 9 + R/ppmclass.R | 9 - R/quadrattest.R | 2 R/slrm.R | 4 R/sysdata.rda |binary R/zclustermodel.R | 5 build/partial.rdb |binary inst/doc/packagesizes.txt | 2 inst/info/packagesizes.txt | 2 man/Kmodel.Rd | 30 ++-- man/Kmodel.clusterprocess.Rd |only man/Kmodel.dppm.Rd | 6 man/Kmodel.kppm.Rd | 6 man/Kmodel.ppm.Rd | 6 man/Triplets.Rd | 8 + man/clusterstrength.Rd | 31 ++-- man/envelope.Rd | 83 +++++++++--- man/is.poissonclusterprocess.Rd | 6 man/macros/defns.Rd | 3 man/methods.zclustermodel.Rd | 3 man/panysib.Rd | 4 man/persist.Rd | 29 +++- man/psib.Rd | 7 - man/spatstat.model-internal.Rd | 19 +- man/varcount.Rd | 4 man/zclustermodel.Rd | 2 tests/testsK.R | 30 ++-- 37 files changed, 591 insertions(+), 199 deletions(-)
More information about spatstat.model at CRAN
Permanent link
Title: Parallel Utilities for Lambda Selection along a Regularization
Path
Description: Model selection for penalized graphical models using the Stability Approach to Regularization Selection ('StARS'), with options for speed-ups including Bounded StARS (B-StARS), batch computing, and other stability metrics (e.g., graphlet stability G-StARS). Christian L. Müller, Richard Bonneau, Zachary Kurtz (2016) <doi:10.48550/arXiv.1605.07072>.
Author: Zachary Kurtz [aut, cre],
Christian Mueller [aut, ctb]
Maintainer: Zachary Kurtz <zdkurtz@gmail.com>
Diff between pulsar versions 0.3.12 dated 2026-03-19 and 0.3.13 dated 2026-03-29
DESCRIPTION | 6 ++--- MD5 | 12 +++++----- NEWS | 6 +++++ R/mcPulsarSelect.R | 40 +++++++++++++++++++++-------------- R/pulsar-package.R | 4 --- man/pulsar.Rd | 2 - tests/testthat/test_errorreporting.R | 4 --- 7 files changed, 42 insertions(+), 32 deletions(-)
Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating
and analyzing transaction data and patterns (frequent itemsets and
association rules). Also provides C implementations of the
association mining algorithms Apriori and Eclat. Hahsler, Gruen and
Hornik (2005) <doi:10.18637/jss.v014.i15>.
Author: Michael Hahsler [aut, cre, cph] ,
Christian Buchta [aut, cph],
Bettina Gruen [aut, cph],
Kurt Hornik [aut, cph] ,
Christian Borgelt [ctb, cph],
Ian Johnson [ctb],
Makhlouf Ledmi [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Diff between arules versions 1.7.13 dated 2026-01-10 and 1.7.14 dated 2026-03-29
arules-1.7.13/arules/src/arrayIndex.c |only arules-1.7.14/arules/DESCRIPTION | 8 arules-1.7.14/arules/MD5 | 21 arules-1.7.14/arules/NEWS.md | 4 arules-1.7.14/arules/inst/doc/arules.pdf |binary arules-1.7.14/arules/src/dll.c | 22 arules-1.7.14/arules/src/matrix.c | 833 ++++------ arules-1.7.14/arules/src/ptree.c | 801 +++++----- arules-1.7.14/arules/src/rapriori.c | 1698 +++++++++------------- arules-1.7.14/arules/src/similarity.c | 277 ++- arules-1.7.14/arules/src/warm.c | 623 ++++---- arules-1.7.14/arules/tests/testthat/test-matrix.R | 10 12 files changed, 2023 insertions(+), 2274 deletions(-)