Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into
formatted tables and figures, facilitating the visualization of study
results working with the Observational Medical Outcomes Partnership
(OMOP) Common Data Model.
Author: Marti Catala [aut] ,
Nuria Mercade-Besora [aut, cre]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>
Diff between visOmopResults versions 0.0.1 dated 2024-02-06 and 0.1.1 dated 2024-03-12
visOmopResults-0.0.1/visOmopResults/R/formatSummarisedResult.R |only visOmopResults-0.0.1/visOmopResults/tests/testthat/test-formatSummarisedResult.R |only visOmopResults-0.0.1/visOmopResults/tests/testthat/test-formatTable.R |only visOmopResults-0.1.1/visOmopResults/DESCRIPTION | 40 visOmopResults-0.1.1/visOmopResults/MD5 | 102 - visOmopResults-0.1.1/visOmopResults/NAMESPACE | 6 visOmopResults-0.1.1/visOmopResults/R/assertions.R |only visOmopResults-0.1.1/visOmopResults/R/columns.R | 53 visOmopResults-0.1.1/visOmopResults/R/formatEstimateName.R | 353 ++--- visOmopResults-0.1.1/visOmopResults/R/formatEstimateValue.R | 150 +- visOmopResults-0.1.1/visOmopResults/R/formatHeader.R |only visOmopResults-0.1.1/visOmopResults/R/formatTable.R | 99 - visOmopResults-0.1.1/visOmopResults/R/fxTable.R | 62 visOmopResults-0.1.1/visOmopResults/R/gtTable.R | 64 visOmopResults-0.1.1/visOmopResults/R/mockResults.R | 81 - visOmopResults-0.1.1/visOmopResults/R/reexports.R |only visOmopResults-0.1.1/visOmopResults/R/split.R | 157 +- visOmopResults-0.1.1/visOmopResults/R/tidy.R |only visOmopResults-0.1.1/visOmopResults/R/unite.R | 208 +-- visOmopResults-0.1.1/visOmopResults/R/utilities.R | 175 +- visOmopResults-0.1.1/visOmopResults/README.md | 69 - visOmopResults-0.1.1/visOmopResults/build |only visOmopResults-0.1.1/visOmopResults/inst |only visOmopResults-0.1.1/visOmopResults/man/additionalColumns.Rd | 8 visOmopResults-0.1.1/visOmopResults/man/formatEstimateName.Rd | 16 visOmopResults-0.1.1/visOmopResults/man/formatEstimateValue.Rd | 14 visOmopResults-0.1.1/visOmopResults/man/formatHeader.Rd |only visOmopResults-0.1.1/visOmopResults/man/formatTable.Rd | 13 visOmopResults-0.1.1/visOmopResults/man/fxTable.Rd | 160 +- visOmopResults-0.1.1/visOmopResults/man/groupColumns.Rd | 8 visOmopResults-0.1.1/visOmopResults/man/gtTable.Rd | 176 +- visOmopResults-0.1.1/visOmopResults/man/mockSummarisedResult.Rd | 2 visOmopResults-0.1.1/visOmopResults/man/reexports.Rd |only visOmopResults-0.1.1/visOmopResults/man/splitAdditional.Rd | 23 visOmopResults-0.1.1/visOmopResults/man/splitAll.Rd | 24 visOmopResults-0.1.1/visOmopResults/man/splitGroup.Rd | 23 visOmopResults-0.1.1/visOmopResults/man/splitNameLevel.Rd | 14 visOmopResults-0.1.1/visOmopResults/man/splitStrata.Rd | 23 visOmopResults-0.1.1/visOmopResults/man/strataColumns.Rd | 8 visOmopResults-0.1.1/visOmopResults/man/tidy.summarised_result.Rd |only visOmopResults-0.1.1/visOmopResults/man/uniteAdditional.Rd | 18 visOmopResults-0.1.1/visOmopResults/man/uniteGroup.Rd | 18 visOmopResults-0.1.1/visOmopResults/man/uniteNameLevel.Rd | 19 visOmopResults-0.1.1/visOmopResults/man/uniteStrata.Rd | 18 visOmopResults-0.1.1/visOmopResults/man/visOmopResults-package.Rd | 4 visOmopResults-0.1.1/visOmopResults/tests/testthat/test-README.R | 2 visOmopResults-0.1.1/visOmopResults/tests/testthat/test-columns.R | 24 visOmopResults-0.1.1/visOmopResults/tests/testthat/test-formatEstimateName.R | 51 visOmopResults-0.1.1/visOmopResults/tests/testthat/test-formatEstimateValue.R | 523 ++++--- visOmopResults-0.1.1/visOmopResults/tests/testthat/test-formatHeader.R |only visOmopResults-0.1.1/visOmopResults/tests/testthat/test-fxTable.R | 40 visOmopResults-0.1.1/visOmopResults/tests/testthat/test-gtTable.R | 656 +++++----- visOmopResults-0.1.1/visOmopResults/tests/testthat/test-keyWord.R |only visOmopResults-0.1.1/visOmopResults/tests/testthat/test-split.R | 28 visOmopResults-0.1.1/visOmopResults/tests/testthat/test-tidy.R |only visOmopResults-0.1.1/visOmopResults/tests/testthat/test-unite.R | 68 - visOmopResults-0.1.1/visOmopResults/vignettes |only 57 files changed, 1890 insertions(+), 1710 deletions(-)
More information about visOmopResults at CRAN
Permanent link
Title: Machine Learning and Inference for Topological Data Analysis
Description: Topological data analysis is a powerful tool for finding non-linear global structure
in whole datasets. The main tool of topological data analysis is persistent homology, which computes
a topological shape descriptor of a dataset called a persistence diagram. 'TDApplied' provides
useful and efficient methods for analyzing groups of persistence diagrams with machine learning and statistical inference,
and these functions can also interface with other data science packages to form flexible and integrated
topological data analysis pipelines.
Author: Shael Brown [aut, cre],
Dr. Reza Farivar [aut, fnd]
Maintainer: Shael Brown <shaelebrown@gmail.com>
Diff between TDApplied versions 3.0.2 dated 2024-01-21 and 3.0.3 dated 2024-03-12
TDApplied-3.0.2/TDApplied/R/TDApplied.R |only TDApplied-3.0.2/TDApplied/man/TDApplied.Rd |only TDApplied-3.0.3/TDApplied/DESCRIPTION | 8 TDApplied-3.0.3/TDApplied/MD5 | 68 TDApplied-3.0.3/TDApplied/NAMESPACE | 3 TDApplied-3.0.3/TDApplied/NEWS.md | 3 TDApplied-3.0.3/TDApplied/R/TDApplied-package.R |only TDApplied-3.0.3/TDApplied/R/analyze_representatives.R | 4 TDApplied-3.0.3/TDApplied/R/distance_calculations.R | 6 TDApplied-3.0.3/TDApplied/R/inference.R | 2 TDApplied-3.0.3/TDApplied/R/kernel_calculations.R | 2 TDApplied-3.0.3/TDApplied/R/machine_learning.R | 2 TDApplied-3.0.3/TDApplied/R/rips_complexes.R | 2 TDApplied-3.0.3/TDApplied/README.md | 21 TDApplied-3.0.3/TDApplied/build/partial.rdb |binary TDApplied-3.0.3/TDApplied/inst/doc/HCP_analysis.html | 594 +++- TDApplied-3.0.3/TDApplied/inst/doc/ML_and_Inference.Rmd | 2 TDApplied-3.0.3/TDApplied/inst/doc/ML_and_Inference.html | 1304 ++++++++-- TDApplied-3.0.3/TDApplied/inst/doc/Speed.html | 773 ++++- TDApplied-3.0.3/TDApplied/inst/doc/comparing_calcs.html | 642 +++- TDApplied-3.0.3/TDApplied/inst/doc/personalized_analyses.html | 436 ++- TDApplied-3.0.3/TDApplied/man/TDApplied-package.Rd |only TDApplied-3.0.3/TDApplied/man/analyze_representatives.Rd | 4 TDApplied-3.0.3/TDApplied/man/diagram_distance.Rd | 7 TDApplied-3.0.3/TDApplied/man/diagram_kernel.Rd | 3 TDApplied-3.0.3/TDApplied/man/diagram_kpca.Rd | 2 TDApplied-3.0.3/TDApplied/man/distance_matrix.Rd | 3 TDApplied-3.0.3/TDApplied/man/gram_matrix.Rd | 3 TDApplied-3.0.3/TDApplied/man/independence_test.Rd | 3 TDApplied-3.0.3/TDApplied/man/permutation_test.Rd | 3 TDApplied-3.0.3/TDApplied/man/plot_vr_graph.Rd | 3 TDApplied-3.0.3/TDApplied/man/predict_diagram_ksvm.Rd | 2 TDApplied-3.0.3/TDApplied/man/vr_graphs.Rd | 3 TDApplied-3.0.3/TDApplied/tests/testthat/test-bootstrap.R | 8 TDApplied-3.0.3/TDApplied/tests/testthat/test-rips.R | 58 TDApplied-3.0.3/TDApplied/vignettes/ML_and_Inference.Rmd | 2 TDApplied-3.0.3/TDApplied/vignettes/REFERENCES.bib | 9 37 files changed, 3232 insertions(+), 753 deletions(-)
Title: A Unified Mechanistic Model for the Population Dynamics of
Invasive Aedes Mosquitoes
Description: Generalised model for population dynamics of invasive Aedes mosquitoes. Rationale and model structure are described here: Da Re et al. (2021) <doi:10.1016/j.ecoinf.2020.101180> and Da Re et al. (2022) <doi:10.1101/2021.12.21.473628>.
Author: Matteo Marcantonio [aut, cre],
Daniele Da Re [aut]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>
Diff between dynamAedes versions 2.2.8 dated 2024-01-08 and 2.2.9 dated 2024-03-12
DESCRIPTION | 10 +++--- MD5 | 44 +++++++++++++-------------- NEWS.md | 5 ++- R/dynamAedes.m.R | 52 +++++++++++++++++++------------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/dynamAedes_01_punctual.R | 2 - inst/doc/dynamAedes_01_punctual.Rmd | 2 - inst/doc/dynamAedes_01_punctual.html | 8 ++-- inst/doc/dynamAedes_02_local.R | 2 - inst/doc/dynamAedes_02_local.Rmd | 2 - inst/doc/dynamAedes_02_local.html | 26 ++++++++-------- inst/doc/dynamAedes_03_regional.R | 2 - inst/doc/dynamAedes_03_regional.Rmd | 2 - inst/doc/dynamAedes_03_regional.html | 8 ++-- inst/doc/dynamAedes_04_uncompModel.R | 2 - inst/doc/dynamAedes_04_uncompModel.Rmd | 2 - inst/doc/dynamAedes_04_uncompModel.html | 8 ++-- inst/doc/dynamAedes_05_spreader.html | 4 +- vignettes/dynamAedes_01_punctual.Rmd | 2 - vignettes/dynamAedes_02_local.Rmd | 2 - vignettes/dynamAedes_03_regional.Rmd | 2 - vignettes/dynamAedes_04_uncompModel.Rmd | 2 - 23 files changed, 102 insertions(+), 87 deletions(-)
Title: Spillover/Connectedness Index Based on VAR Modelling
Description: A user-friendly tool for estimating both total and directional connectedness spillovers based on Diebold and Yilmaz (2009, 2012). It also provides the user with rolling estimation for total and net indices. User can find both orthogonalized and generalized versions for each kind of measures. See Diebold and Yilmaz (2009, 2012) find them at <doi:10.1111/j.1468-0297.2008.02208.x> and <doi:10.1016/j.ijforecast.2011.02.006>.
Author: Jilber Urbina
Maintainer: Jilber Urbina <JilberUrbina@gmail.com>
Diff between Spillover versions 0.1.0.3 dated 2023-02-12 and 0.1.1 dated 2024-03-12
DESCRIPTION | 10 - MD5 | 12 +- NEWS | 7 + inst/doc/Spillover.R | 12 +- inst/doc/Spillover.Rmd | 266 ++++++++++++++++++++++++------------------------ inst/doc/Spillover.html | 142 +++++++++++-------------- vignettes/Spillover.Rmd | 266 ++++++++++++++++++++++++------------------------ 7 files changed, 355 insertions(+), 360 deletions(-)
Title: Robust Bayesian Variable Selection for Gene-Environment
Interactions
Description: Gene-environment (G×E) interactions have important implications to elucidate the
etiology of complex diseases beyond the main genetic and environmental effects.
Outliers and data contamination in disease phenotypes of G×E studies have been commonly
encountered, leading to the development of a broad spectrum of robust penalization methods.
Nevertheless, within the Bayesian framework, the issue has not been taken care of in existing
studies. We develop a robust Bayesian variable selection method for G×E interaction
studies. The proposed Bayesian method can effectively accommodate heavy-tailed errors and
outliers in the response variable while conducting variable selection by accounting for
structural sparsity. In particular, the spike-and-slab priors have been imposed on both
individual and group levels to identify important main and interaction effects. An efficient
Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo
algorithms of the proposed a [...truncated...]
Author: Jie Ren, Fei Zhou, Xiaoxi Li, Cen Wu
Maintainer: Jie Ren <jieren@ksu.edu>
Diff between roben versions 0.1.0 dated 2020-05-11 and 0.1.1 dated 2024-03-12
roben-0.1.0/roben/tests/testthat/test-robin.R |only roben-0.1.1/roben/DESCRIPTION | 13 ++--- roben-0.1.1/roben/MD5 | 29 +++++------ roben-0.1.1/roben/R/GxESelection.R | 17 +++--- roben-0.1.1/roben/R/roben-package.R | 40 ++++++++------- roben-0.1.1/roben/R/roben.R | 20 +++---- roben-0.1.1/roben/README.md | 47 ++++++++---------- roben-0.1.1/roben/build |only roben-0.1.1/roben/man/GxESelection.Rd | 13 +++-- roben-0.1.1/roben/man/roben-package.Rd | 48 +++++++++++-------- roben-0.1.1/roben/man/roben.Rd | 20 +++---- roben-0.1.1/roben/src/Makevars | 2 roben-0.1.1/roben/src/Makevars.win | 2 roben-0.1.1/roben/src/RcppExports.cpp | 5 + roben-0.1.1/roben/tests/testthat/test-GxESelection.R | 16 ++++++ roben-0.1.1/roben/tests/testthat/test-predict.R | 7 ++ roben-0.1.1/roben/tests/testthat/test-roben.R |only 17 files changed, 162 insertions(+), 117 deletions(-)
Title: Visualise and Explore the Deep Dependencies of R Packages
Description: Provides tools for exploration of R package dependencies.
The main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way.
It also adds some popularity measures for the packages e.g. in the form of download count through the 'cranlogs' package.
Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor metadata <https://bioconductor.org>.
Other data acquire functions are: get_dependencies(), get_downloads() and get_description().
The deepdep_shiny() function runs shiny application that helps to produce a nice 'deepdep' plot.
Author: Dominik Rafacz [aut, cre] ,
Hubert Baniecki [aut],
Szymon Maksymiuk [aut],
Laura Bakala [aut],
Dirk Eddelbuettel [ctb]
Maintainer: Dominik Rafacz <dominikrafacz@gmail.com>
Diff between deepdep versions 0.4.2 dated 2023-02-20 and 0.4.3 dated 2024-03-12
DESCRIPTION | 8 MD5 | 12 - NEWS.md | 3 R/plot_deepdep.R | 4 build/vignette.rds |binary inst/doc/deepdep-comparison.html | 60 +++--- inst/doc/deepdep-package.html | 342 +++++++++++++++++++-------------------- 7 files changed, 217 insertions(+), 212 deletions(-)
Title: R Tools for Text Matrices, Embeddings, and Networks
Description: This is a collection of functions optimized for working with
with various kinds of text matrices. Focusing on
the text matrix as the primary object - represented
either as a base R dense matrix or a 'Matrix' package sparse
matrix - allows for a consistent and intuitive interface
that stays close to the underlying mathematical foundation
of computational text analysis. In particular, the package
includes functions for working with word embeddings,
text networks, and document-term matrices. Methods developed in
Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>,
Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>,
Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and
Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.
Author: Dustin Stoltz [aut, cre] ,
Marshall Taylor [aut]
Maintainer: Dustin Stoltz <dss219@lehigh.edu>
Diff between text2map versions 0.1.8 dated 2024-01-15 and 0.1.9 dated 2024-03-12
text2map-0.1.8/text2map/R/utils-embedding.R |only text2map-0.1.9/text2map/DESCRIPTION | 8 text2map-0.1.9/text2map/MD5 | 47 +- text2map-0.1.9/text2map/NAMESPACE | 5 text2map-0.1.9/text2map/NEWS.md | 7 text2map-0.1.9/text2map/R/CMDist.R | 49 +- text2map-0.1.9/text2map/R/CoCA.R | 18 - text2map-0.1.9/text2map/R/utils-dtm.R | 2 text2map-0.1.9/text2map/R/utils-embedding-matrices.R |only text2map-0.1.9/text2map/R/utils-embedding-vectors.R |only text2map-0.1.9/text2map/R/utils-textnets.R | 73 +--- text2map-0.1.9/text2map/README.md | 9 text2map-0.1.9/text2map/build/partial.rdb |binary text2map-0.1.9/text2map/man/CMDist.Rd | 16 text2map-0.1.9/text2map/man/CoCA.Rd | 16 text2map-0.1.9/text2map/man/doc_similarity.Rd | 1 text2map-0.1.9/text2map/man/find_projection.Rd | 2 text2map-0.1.9/text2map/man/find_rejection.Rd | 2 text2map-0.1.9/text2map/man/find_transformation.Rd | 2 text2map-0.1.9/text2map/man/get_anchors.Rd | 6 text2map-0.1.9/text2map/man/get_centroid.Rd | 2 text2map-0.1.9/text2map/man/get_direction.Rd | 7 text2map-0.1.9/text2map/man/get_regions.Rd | 2 text2map-0.1.9/text2map/man/test_anchors.Rd |only text2map-0.1.9/text2map/tests/testthat/test-utils-dtm.R | 45 ++ text2map-0.1.9/text2map/tests/testthat/test-utils-embedding-vectors.R |only text2map-0.1.9/text2map/tests/testthat/test-utils-embeddings.R | 178 ---------- 27 files changed, 201 insertions(+), 296 deletions(-)
Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves new-format and old-format Statistics Canada data
tables, as well as individual vectors, as tidy data frames. This package deals with encoding issues, allows for
bilingual English or French language data retrieval, and bundles convenience functions
to make it easier to work with retrieved table data. Optional caching features are provided.
Author: Jens von Bergmann [cre],
Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>
Diff between cansim versions 0.3.15 dated 2023-10-10 and 0.3.16 dated 2024-03-12
DESCRIPTION | 6 ++--- MD5 | 22 +++++++++---------- NEWS.md | 6 +++++ R/cansim.R | 13 +++++++++-- R/cansim_helpers.R | 33 ++++++++++++++++++++++------ R/cansim_sql.R | 19 +++++++++++----- R/cansim_tables_list.R | 37 +++----------------------------- R/cansim_vectors.R | 16 +++++++++---- README.md | 6 ++--- build/vignette.rds |binary inst/doc/cansim.html | 4 +-- inst/doc/working_with_large_tables.html | 12 +++++----- 12 files changed, 96 insertions(+), 78 deletions(-)
Title: Linear Regression Model Diagnostics for Survey Data
Description: Diagnostics for fixed effects linear regression models fitted with survey data. Extensions of standard diagnostics to complex survey data are included: standardized residuals, leverages, Cook's D, dfbetas, dffits, condition indexes, and variance inflation factors as found in Li and Valliant (Surv. Meth., 2009, 35(1), pp. 15-24; Jnl. of Off. Stat., 2011, 27(1), pp. 99-119; Jnl. of Off. Stat., 2015, 31(1), pp. 61-75); Liao and Valliant (Surv. Meth., 2012, 38(1), pp. 53-62; Surv. Meth., 2012, 38(2), pp. 189-202). Variance inflation factors are also computed for some general linear models (logistic and poisson) as described in Liao (U. Maryland thesis, 2010).
Author: Richard Valliant [aut, cre]
Maintainer: Richard Valliant <valliant@umich.edu>
Diff between svydiags versions 0.4 dated 2022-04-28 and 0.5 dated 2024-03-12
DESCRIPTION | 18 ++++++--- MD5 | 23 ++++++------ NEWS.md |only R/svyCooksD.R | 1 R/svycollinear.R | 94 +++++++++++++++++++++++++++------------------------- man/Vmat.Rd | 2 - man/svyCooksD.Rd | 2 - man/svycollinear.Rd | 14 +++---- man/svydfbetas.Rd | 2 - man/svydffits.Rd | 2 - man/svyhat.Rd | 2 - man/svystdres.Rd | 2 - man/svyvif.Rd | 2 - 13 files changed, 86 insertions(+), 78 deletions(-)
Title: Rank Preserving Structural Failure Time Models
Description: Implements methods described by the paper Robins and Tsiatis (1991) <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.
Author: Simon Bond [aut, cre] ,
Annabel Allison [aut]
Maintainer: Simon Bond <simon.bond7@nhs.net>
Diff between rpsftm versions 1.2.8 dated 2023-10-27 and 1.2.9 dated 2024-03-12
rpsftm-1.2.8/rpsftm/R/terms.inner.R |only rpsftm-1.2.8/rpsftm/man/terms.inner.Rd |only rpsftm-1.2.9/rpsftm/DESCRIPTION | 14 rpsftm-1.2.9/rpsftm/MD5 | 98 rpsftm-1.2.9/rpsftm/NAMESPACE | 3 rpsftm-1.2.9/rpsftm/NEWS.md | 184 - rpsftm-1.2.9/rpsftm/R/cox.zph.R | 54 rpsftm-1.2.9/rpsftm/R/data.R | 42 rpsftm-1.2.9/rpsftm/R/est_eqn.R | 80 rpsftm-1.2.9/rpsftm/R/extract_z.R | 118 rpsftm-1.2.9/rpsftm/R/plot.rpsftm.R | 78 rpsftm-1.2.9/rpsftm/R/print.rpsftm.R | 270 - rpsftm-1.2.9/rpsftm/R/rand.R | 70 rpsftm-1.2.9/rpsftm/R/residuals.rpsftm.R | 32 rpsftm-1.2.9/rpsftm/R/rpsftm-package.R | 36 rpsftm-1.2.9/rpsftm/R/rpsftm.R | 694 ++-- rpsftm-1.2.9/rpsftm/R/survfit.rpsftm.R | 48 rpsftm-1.2.9/rpsftm/R/termsinner.R |only rpsftm-1.2.9/rpsftm/R/uniroot_all.R | 84 rpsftm-1.2.9/rpsftm/R/untreated.R | 96 rpsftm-1.2.9/rpsftm/README.md | 117 rpsftm-1.2.9/rpsftm/build/partial.rdb |binary rpsftm-1.2.9/rpsftm/build/vignette.rds |binary rpsftm-1.2.9/rpsftm/inst/doc/rpsftm_vignette.R | 146 rpsftm-1.2.9/rpsftm/inst/doc/rpsftm_vignette.Rmd | 592 +-- rpsftm-1.2.9/rpsftm/inst/doc/rpsftm_vignette.html | 1726 +++++----- rpsftm-1.2.9/rpsftm/man/est_eqn.Rd | 80 rpsftm-1.2.9/rpsftm/man/extract_z.Rd | 86 rpsftm-1.2.9/rpsftm/man/print.rand.Rd | 50 rpsftm-1.2.9/rpsftm/man/print.rpsftm.coxph.Rd | 38 rpsftm-1.2.9/rpsftm/man/print.rpsftm.summary.coxph.Rd | 52 rpsftm-1.2.9/rpsftm/man/print.rpsftm.summary.survreg.Rd | 38 rpsftm-1.2.9/rpsftm/man/print.rpsftm.survreg.Rd | 34 rpsftm-1.2.9/rpsftm/man/rand.Rd | 66 rpsftm-1.2.9/rpsftm/man/rpsftm-package.Rd | 9 rpsftm-1.2.9/rpsftm/man/rpsftm.Rd | 222 - rpsftm-1.2.9/rpsftm/man/survfit.rpsftm.Rd | 4 rpsftm-1.2.9/rpsftm/man/termsinner.Rd |only rpsftm-1.2.9/rpsftm/man/uniroot_all.Rd | 102 rpsftm-1.2.9/rpsftm/man/untreated.Rd | 70 rpsftm-1.2.9/rpsftm/tests/testthat.R | 8 rpsftm-1.2.9/rpsftm/tests/testthat/test_errors.R | 536 +-- rpsftm-1.2.9/rpsftm/tests/testthat/test_rpsftm.R | 878 ++--- rpsftm-1.2.9/rpsftm/tools/README-unnamed-chunk-2-1.png |binary rpsftm-1.2.9/rpsftm/vignettes/dev/adjustedHR.Rmd | 216 - rpsftm-1.2.9/rpsftm/vignettes/dev/rpsftm_vignette_v1.Rmd | 574 +-- rpsftm-1.2.9/rpsftm/vignettes/dev/rpsftm_vignette_v2.Rmd | 744 ++-- rpsftm-1.2.9/rpsftm/vignettes/rpsftm_vignette.Rmd | 592 +-- rpsftm-1.2.9/rpsftm/vignettes/rpsftm_vignette_files/figure-html/unnamed-chunk-12-1.png |binary rpsftm-1.2.9/rpsftm/vignettes/rpsftm_vignette_files/figure-html/unnamed-chunk-5-1.png |binary rpsftm-1.2.9/rpsftm/vignettes/rpsftm_vignette_files/figure-html/unnamed-chunk-7-1.png |binary rpsftm-1.2.9/rpsftm/vignettes/rpsftm_vignette_files/figure-html/unnamed-chunk-9-1.png |binary 52 files changed, 4503 insertions(+), 4478 deletions(-)
Title: Binned Data Analysis
Description: Algorithms developed for binned data analysis,
gene expression data analysis and
measurement error models for ordinal data analysis.
Author: Bin Wang <bwang831@gmail.com>
Maintainer: Bin Wang <bwang831@gmail.com>
Diff between bda versions 18.1.2 dated 2024-03-10 and 18.2.2 dated 2024-03-12
bda-18.1.2/bda/src/Pareto.c |only bda-18.1.2/bda/src/binning.f |only bda-18.1.2/bda/src/bootKDE.f |only bda-18.1.2/bda/src/cKDE.c |only bda-18.1.2/bda/src/em.c |only bda-18.1.2/bda/src/fitdist.c |only bda-18.1.2/bda/src/kstest.c |only bda-18.1.2/bda/src/npr.c |only bda-18.1.2/bda/src/oddsratio.c |only bda-18.1.2/bda/src/permtest.c |only bda-18.1.2/bda/src/smoothKDE.f |only bda-18.1.2/bda/src/wkde.c |only bda-18.1.2/bda/src/wnpr.c |only bda-18.2.2/bda/DESCRIPTION | 8 bda-18.2.2/bda/MD5 | 23 bda-18.2.2/bda/PORTING | 3 bda-18.2.2/bda/src/ckernel.c |only bda-18.2.2/bda/src/init.c | 65 -- bda-18.2.2/bda/src/lognormal.c | 1132 +++++++++++++++++++++++++++++++++++++++++ bda-18.2.2/bda/src/npdensity.c |only 20 files changed, 1165 insertions(+), 66 deletions(-)
Title: Piecewise Exponential Distribution Prediction Model
Description: Build piecewise exponential survival model for study design (planning) and event/timeline prediction.
Author: Tianchen Xu [aut, cre]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>
Diff between PWEXP versions 0.4.4 dated 2024-02-01 and 0.5.0 dated 2024-03-12
DESCRIPTION | 6 +++--- MD5 | 26 +++++++++++++------------- NAMESPACE | 3 +++ R/fitting.R | 16 ++++++++-------- R/plot_fun.R | 34 +++++++++++++++++++--------------- R/prediction.R | 29 +++++++++++------------------ R/pwexp.R | 8 ++++---- R/sim_followup_fun.R | 9 ++++++++- build/vignette.rds |binary inst/NEWS.Rd | 13 +++++++++++++ inst/doc/Theory_Notes.html | 13 ++++++++++--- man/plot_event.Rd | 6 ++++-- man/predict.Rd | 7 +++---- man/sim_followup.Rd | 5 +++-- 14 files changed, 102 insertions(+), 73 deletions(-)
Title: Landscape Epidemiology and Evolution
Description: A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution
of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies.
It is based on a spatial geometry for describing the landscape and allocation of different cultivars,
a dispersal kernel for the dissemination of the pathogen, and a SEIR
('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step.
It provides a useful tool to assess the performance of a wide range of deployment options with
respect to their epidemiological, evolutionary and economic outcomes.
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.
Author: Loup Rimbaud [aut] ,
Julien Papaix [aut],
Jean-Francois Rey [aut, cre] ,
Marta Zaffaroni [ctb] ,
Jean-Loup Gaussen [ctb],
Manon Couty [ctb]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>
Diff between landsepi versions 1.3.0 dated 2023-07-19 and 1.4.0 dated 2024-03-12
landsepi-1.3.0/landsepi/man/setReproSexProb.Rd |only landsepi-1.4.0/landsepi/DESCRIPTION | 19 landsepi-1.4.0/landsepi/MD5 | 155 landsepi-1.4.0/landsepi/NAMESPACE | 10 landsepi-1.4.0/landsepi/NEWS.md | 12 landsepi-1.4.0/landsepi/R/Class-LandsepiParams.R | 2 landsepi-1.4.0/landsepi/R/Cultivars_List.R | 4 landsepi-1.4.0/landsepi/R/GPKGTools.R | 1 landsepi-1.4.0/landsepi/R/Methods-LandsepiParams.R | 1172 +++++- landsepi-1.4.0/landsepi/R/RcppExports.R | 162 landsepi-1.4.0/landsepi/R/demo_landsepi.R | 10 landsepi-1.4.0/landsepi/R/landsepi.R | 24 landsepi-1.4.0/landsepi/R/output.R | 1 landsepi-1.4.0/landsepi/R/simul_landsepi.R | 140 landsepi-1.4.0/landsepi/build/vignette.rds |binary landsepi-1.4.0/landsepi/configure | 20 landsepi-1.4.0/landsepi/configure.ac | 4 landsepi-1.4.0/landsepi/data/dispP_a40_b7.rda |binary landsepi-1.4.0/landsepi/data/landscapesTEST.rda |binary landsepi-1.4.0/landsepi/inst/doc/O1-run_simple_simul.R | 98 landsepi-1.4.0/landsepi/inst/doc/O1-run_simple_simul.Rmd | 215 + landsepi-1.4.0/landsepi/inst/doc/O1-run_simple_simul.html | 2052 +++++++---- landsepi-1.4.0/landsepi/inst/doc/O2-run_exp_design.R | 18 landsepi-1.4.0/landsepi/inst/doc/O2-run_exp_design.Rmd | 6 landsepi-1.4.0/landsepi/inst/doc/O2-run_exp_design.html | 521 +- landsepi-1.4.0/landsepi/inst/doc/O3-landscape_dispersal.R | 28 landsepi-1.4.0/landsepi/inst/doc/O3-landscape_dispersal.html | 345 - landsepi-1.4.0/landsepi/inst/doc/O4-run_sex_repro.R | 20 landsepi-1.4.0/landsepi/inst/doc/O4-run_sex_repro.Rmd | 12 landsepi-1.4.0/landsepi/inst/doc/O4-run_sex_repro.html | 466 +- landsepi-1.4.0/landsepi/inst/doc/landsepi_poster.pdf |binary landsepi-1.4.0/landsepi/inst/doc/list_of_parameters.pdf |binary landsepi-1.4.0/landsepi/inst/shiny-landsepi/Dockerfile | 2 landsepi-1.4.0/landsepi/inst/shiny-landsepi/global.R | 13 landsepi-1.4.0/landsepi/inst/shiny-landsepi/server.R | 15 landsepi-1.4.0/landsepi/inst/shiny-landsepi/ui.R | 8 landsepi-1.4.0/landsepi/man/allocateLandscapeCroptypes.Rd | 28 landsepi-1.4.0/landsepi/man/checkPI0_mat.Rd |only landsepi-1.4.0/landsepi/man/createSimulParams.Rd | 2 landsepi-1.4.0/landsepi/man/getMatrixCroptypePatho.Rd |only landsepi-1.4.0/landsepi/man/getMatrixCultivarPatho.Rd |only landsepi-1.4.0/landsepi/man/getMatrixGenePatho.Rd |only landsepi-1.4.0/landsepi/man/getMatrixPolyPatho.Rd |only landsepi-1.4.0/landsepi/man/initialize-methods.Rd | 19 landsepi-1.4.0/landsepi/man/inoculumToMatrix.Rd |only landsepi-1.4.0/landsepi/man/landsepi-package.Rd | 26 landsepi-1.4.0/landsepi/man/loadCroptypes.Rd | 3 landsepi-1.4.0/landsepi/man/loadCultivar.Rd | 3 landsepi-1.4.0/landsepi/man/loadDispersalHost.Rd | 2 landsepi-1.4.0/landsepi/man/loadDispersalPathogen.Rd | 6 landsepi-1.4.0/landsepi/man/loadInoculum.Rd |only landsepi-1.4.0/landsepi/man/loadLandscape.Rd | 2 landsepi-1.4.0/landsepi/man/loadOutputs.Rd | 11 landsepi-1.4.0/landsepi/man/loadPathogen.Rd | 4 landsepi-1.4.0/landsepi/man/loadTreatment.Rd | 25 landsepi-1.4.0/landsepi/man/model_landsepi.Rd | 124 landsepi-1.4.0/landsepi/man/runSimul.Rd | 28 landsepi-1.4.0/landsepi/man/setCroptypes.Rd | 7 landsepi-1.4.0/landsepi/man/setCultivars.Rd | 3 landsepi-1.4.0/landsepi/man/setDispersalHost.Rd | 9 landsepi-1.4.0/landsepi/man/setDispersalPathogen.Rd | 20 landsepi-1.4.0/landsepi/man/setGenes.Rd | 18 landsepi-1.4.0/landsepi/man/setInoculum.Rd | 23 landsepi-1.4.0/landsepi/man/setOutputs.Rd | 8 landsepi-1.4.0/landsepi/man/setPathogen.Rd | 13 landsepi-1.4.0/landsepi/man/setTreatment.Rd | 24 landsepi-1.4.0/landsepi/man/simul_landsepi.Rd | 99 landsepi-1.4.0/landsepi/man/survivalProbToMatrix.Rd |only landsepi-1.4.0/landsepi/man/updateReproSexProb.Rd |only landsepi-1.4.0/landsepi/man/updateSurvivalProb.Rd |only landsepi-1.4.0/landsepi/src/Basic_patho.cpp | 41 landsepi-1.4.0/landsepi/src/Basic_patho.hpp | 5 landsepi-1.4.0/landsepi/src/Gene.cpp | 15 landsepi-1.4.0/landsepi/src/Gene.hpp | 4 landsepi-1.4.0/landsepi/src/Model.cpp | 101 landsepi-1.4.0/landsepi/src/Model.hpp | 172 landsepi-1.4.0/landsepi/src/Treatment.cpp | 12 landsepi-1.4.0/landsepi/src/initialisation.cpp | 66 landsepi-1.4.0/landsepi/src/printReadWrite.cpp | 33 landsepi-1.4.0/landsepi/vignettes/O1-run_simple_simul.Rmd | 215 + landsepi-1.4.0/landsepi/vignettes/O2-run_exp_design.Rmd | 6 landsepi-1.4.0/landsepi/vignettes/O4-run_sex_repro.Rmd | 12 landsepi-1.4.0/landsepi/vignettes/landsepiposter.pdf |binary landsepi-1.4.0/landsepi/vignettes/listofparameters.pdf |binary 84 files changed, 4480 insertions(+), 2264 deletions(-)
Title: Curved Text in 'ggplot2'
Description: A 'ggplot2' extension that allows text to follow curved paths.
Curved text makes it easier to directly label paths or neatly annotate in
polar co-ordinates.
Author: Allan Cameron [aut, cre],
Teun van den Brand [aut]
Maintainer: Allan Cameron <Allan.Cameron@nhs.scot>
Diff between geomtextpath versions 0.1.2 dated 2024-03-08 and 0.1.3 dated 2024-03-12
DESCRIPTION | 6 +++--- MD5 | 6 +++--- tests/testthat/Rplots.pdf |binary tests/testthat/test-utils.R | 2 +- 4 files changed, 7 insertions(+), 7 deletions(-)
Title: Bayesian Regression Modeling Strategies
Description: A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'. The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) <https://www.jstor.org/stable/2347760>.
Author: Frank Harrell [aut, cre] ,
Ben Goodrich [ctb] ,
Ben Bolker [ctb] ,
Doug Bates [ctb]
Maintainer: Frank Harrell <fh@fharrell.com>
Diff between rmsb versions 1.0-0 dated 2023-09-26 and 1.1-0 dated 2024-03-12
DESCRIPTION | 12 MD5 | 38 NEWS | 5 R/blrm.r | 121 +- R/rmsb-package.R | 1 R/stanmodels.R | 2 inst/stan/lrmconppo.stan | 100 - inst/stan/lrmconppot.stan | 12 inst/stan/lrmcppo.stan | 3 inst/tests/blrm-pcontrast.r | 24 man/blrm.Rd | 18 man/predict.blrm.Rd | 3 man/rmsb-package.Rd | 1 src/Makevars | 5 src/stanExports_lrmconppo.cc | 2 src/stanExports_lrmconppo.h | 2534 ++++++++++++++++++++++++------------------ src/stanExports_lrmconppot.cc | 2 src/stanExports_lrmconppot.h | 2473 ++++++++++++++++++++++++---------------- src/stanExports_lrmcppo.cc | 2 src/stanExports_lrmcppo.h | 2499 +++++++++++++++++++++++------------------ 20 files changed, 4596 insertions(+), 3261 deletions(-)
Title: Power Analysis and Sample Size Calculation
Description: Power analysis and sample size calculation for Welch and Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) t-tests including Monte-Carlo simulations of empirical power and type-I-error. Power and sample size calculation for Wilcoxon rank sum and signed rank tests via Monte-Carlo simulations. Power and sample size required for the evaluation of a diagnostic test(-system) (Flahault et al. (2005), <doi:10.1016/j.jclinepi.2004.12.009>; Dobbin and Simon (2007), <doi:10.1093/biostatistics/kxj036>) as well as for a single proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004), <doi:10.1016/j.csda.2003.10.002>; Thulin (2014), <doi:10.1214/14-ejs909>), comparing two negative binomial rates (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>), ANCOVA (Shieh (2020), <doi:10.1007/s11336-019-09692-3>), and reference ranges (Jennen-Steinmetz and Wellek (2005), <doi:10.1002/sim.2177>).
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Diff between MKpower versions 0.7 dated 2023-04-22 and 0.8 dated 2024-03-12
DESCRIPTION | 10 - MD5 | 34 +++--- NAMESPACE | 1 NEWS | 11 + R/powerDiagnosticTest.R | 2 R/simSsizeWilcoxTest.R | 9 - R/ssizeReferenceRange.R |only build/partial.rdb |binary build/vignette.rds |binary inst/doc/MKpower.R | 17 ++- inst/doc/MKpower.Rmd | 28 ++++- inst/doc/MKpower.html | 239 ++++++++++++++++++++++++++++--------------- man/0MKpower-package.Rd | 16 -- man/power.hsu.t.test.Rd | 2 man/power.nb.test.Rd | 2 man/sim.ssize.wilcox.test.Rd | 14 +- man/ssize.reference.range.Rd |only vignettes/MKpower.Rmd | 28 ++++- vignettes/MKpower.bib | 10 + 19 files changed, 291 insertions(+), 132 deletions(-)
Title: Design and Analysis of Hierarchical Composite Endpoints
Description: Simulate and analyze hierarchical composite endpoints. Win odds is the main analysis method, but other win statistics (win ratio, net benefit) are implemented as well in case of no censoring. See Gasparyan SB et al (2023) "Hierarchical Composite Endpoints in COVID-19: The DARE-19 Trial." Case Studies in Innovative Clinical Trials, 95-148. Chapman; Hall/CRC. <doi:10.1201/9781003288640-7>.
Author: Samvel B. Gasparyan [aut, cre]
Maintainer: Samvel B. Gasparyan <gasparyan.co@gmail.com>
Diff between hce versions 0.5.9 dated 2023-10-31 and 0.6.0 dated 2024-03-12
DESCRIPTION | 8 LICENSE | 4 MD5 | 118 +++---- R/as_hce.R | 34 +- R/as_hce.data.frame.R | 72 ++-- R/calcWINS.R | 24 - R/calcWINS_data_frame.R | 209 ++++++------- R/calcWINS_formula.R | 133 ++++---- R/calcWINS_hce.R | 113 +++---- R/calcWO.R | 24 - R/calcWO_data_frame.R | 160 ++++----- R/calcWO_formula.R | 119 +++---- R/calcWO_hce.R | 81 ++--- R/data.R | 402 ++++++++++++------------- R/hce.R | 88 ++--- R/minWO.R | 86 ++--- R/plot_results.R | 76 ++-- R/powerWO.R | 100 +++--- R/print_results.R | 30 - R/propWINS.R | 116 +++++-- R/regWO.R | 22 - R/regWO_data_frame.R | 218 ++++++------- R/simHCE.R | 266 ++++++++-------- R/sizeWO.R | 90 ++--- R/sizeWR.R | 75 ++-- R/stratWO.R | 22 - R/stratWO_data_frame.R | 292 +++++++++--------- R/summaryWO.R | 24 - R/summaryWO_data_frame.R | 180 +++++------ R/summaryWO_formula.R | 84 ++--- R/summaryWO_hce.R | 50 +-- README.md | 28 - build/vignette.rds |binary inst/doc/Introduction.Rmd | 444 ++++++++++++++------------- inst/doc/Introduction.html | 83 ++++- inst/doc/Wins.Rmd | 170 +++++----- inst/doc/Wins.html | 18 - inst/doc/hce.Rmd | 298 +++++++++--------- inst/doc/hce.html | 22 - inst/doc/maraca.Rmd | 120 +++---- inst/doc/maraca.html | 8 man/COVID19.Rd | 2 man/COVID19b.Rd | 2 man/calcWINS.data.frame.Rd | 13 man/calcWINS.formula.Rd | 13 man/calcWINS.hce.Rd | 13 man/calcWO.formula.Rd | 3 man/calcWO.hce.Rd | 3 man/propWINS.Rd | 20 + man/regWO.data.frame.Rd | 2 man/sizeWO.Rd | 2 man/sizeWR.Rd | 4 man/stratWO.data.frame.Rd | 2 tests/testthat/test-size.R | 12 tests/testthat/test-test-WO.R | 50 +-- vignettes/Introduction.Rmd | 444 ++++++++++++++------------- vignettes/REFERENCES.bib | 674 ++++++++++++++++++++++-------------------- vignettes/Wins.Rmd | 170 +++++----- vignettes/hce.Rmd | 298 +++++++++--------- vignettes/maraca.Rmd | 120 +++---- 60 files changed, 3285 insertions(+), 3073 deletions(-)
Title: A Streamlined Access to Cryptocurrency OHLC-V Market Data and
Sentiment Indicators
Description: This high-level API client offers a streamlined access to public cryptocurrency market data and sentiment indicators. It features OHLC-V (Open, High, Low, Close, Volume) that comes
with granularity ranging from seconds to months and essential sentiment indicators to develop and backtest trading strategies, or conduct detailed market analysis. By interacting directly with
the major cryptocurrency exchanges this package ensures a reliable, and stable, flow of market information, eliminating the need for complex, low-level API interactions or webcrawlers.
Author: Serkan Korkmaz [cre, aut, ctb, cph]
,
Jonas Cuzulan Hirani [ctb]
Maintainer: Serkan Korkmaz <serkor1@duck.com>
Diff between cryptoQuotes versions 1.2.1 dated 2024-01-08 and 1.3.0 dated 2024-03-12
cryptoQuotes-1.2.1/cryptoQuotes/R/ATOMUSDT.R |only cryptoQuotes-1.2.1/cryptoQuotes/R/BTCUSDT.R |only cryptoQuotes-1.2.1/cryptoQuotes/R/DOGEUSDT.R |only cryptoQuotes-1.2.1/cryptoQuotes/R/api_days.R |only cryptoQuotes-1.2.1/cryptoQuotes/R/api_error.R |only cryptoQuotes-1.2.1/cryptoQuotes/R/chartEvent.R |only cryptoQuotes-1.2.1/cryptoQuotes/R/sysdata.rda |only cryptoQuotes-1.2.1/cryptoQuotes/R/utils-pipe.R |only cryptoQuotes-1.2.1/cryptoQuotes/data/ATOMUSDT.rda |only cryptoQuotes-1.2.1/cryptoQuotes/data/BTCUSDT.rda |only cryptoQuotes-1.2.1/cryptoQuotes/data/DOGEUSDT.rda |only cryptoQuotes-1.2.1/cryptoQuotes/man/ATOMUSDT.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/BTCUSDT.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/DOGEUSDT.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addBBands.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addEvents.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addFGIndex.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addLSRatio.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addMA.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addMACD.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addRSI.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/addVolume.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/calibrateWindow.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/figures/README-addBBands-1.png |only cryptoQuotes-1.2.1/cryptoQuotes/man/figures/README-chartSeries-1.png |only cryptoQuotes-1.2.1/cryptoQuotes/man/figures/README-visualizing-1.png |only cryptoQuotes-1.2.1/cryptoQuotes/man/pipe.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/removeBound.Rd |only cryptoQuotes-1.2.1/cryptoQuotes/man/splitWindow.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/DESCRIPTION | 26 cryptoQuotes-1.3.0/cryptoQuotes/MD5 | 203 +- cryptoQuotes-1.3.0/cryptoQuotes/NAMESPACE | 40 cryptoQuotes-1.3.0/cryptoQuotes/NEWS.md | 101 + cryptoQuotes-1.3.0/cryptoQuotes/R/ATOM.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/BTC.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/DOGE.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/FGIndex.R | 2 cryptoQuotes-1.3.0/cryptoQuotes/R/FUN.R | 34 cryptoQuotes-1.3.0/cryptoQuotes/R/api_binance.R | 164 + cryptoQuotes-1.3.0/cryptoQuotes/R/api_bitmart.R | 87 - cryptoQuotes-1.3.0/cryptoQuotes/R/api_bybit.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/api_kraken.R | 354 ++-- cryptoQuotes-1.3.0/cryptoQuotes/R/api_kucoin.R | 94 - cryptoQuotes-1.3.0/cryptoQuotes/R/availableExchanges.R | 60 cryptoQuotes-1.3.0/cryptoQuotes/R/availableIntervals.R | 85 cryptoQuotes-1.3.0/cryptoQuotes/R/availableTickers.R | 80 cryptoQuotes-1.3.0/cryptoQuotes/R/available_exchanges.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/available_intervals.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/available_tickers.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart.R | 507 +++-- cryptoQuotes-1.3.0/cryptoQuotes/R/chart_bollingerbands.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_event.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_fgi.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_indicators.R | 859 ++-------- cryptoQuotes-1.3.0/cryptoQuotes/R/chart_lsr.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_ma.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_macd.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_quote.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_rsi.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/chart_volume.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/getFNG.R | 114 - cryptoQuotes-1.3.0/cryptoQuotes/R/getLSRatio.R | 212 +- cryptoQuotes-1.3.0/cryptoQuotes/R/getQuote.R | 169 + cryptoQuotes-1.3.0/cryptoQuotes/R/get_fgi.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/get_fundingrate.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/get_lsratio.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/get_openinterest.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/get_quote.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/helper.R | 759 ++++++-- cryptoQuotes-1.3.0/cryptoQuotes/R/pkg_startup.R |only cryptoQuotes-1.3.0/cryptoQuotes/R/utils.R | 506 +++-- cryptoQuotes-1.3.0/cryptoQuotes/R/zzz.R | 60 cryptoQuotes-1.3.0/cryptoQuotes/README.md | 206 +- cryptoQuotes-1.3.0/cryptoQuotes/data/ATOM.rda |only cryptoQuotes-1.3.0/cryptoQuotes/data/BTC.rda |only cryptoQuotes-1.3.0/cryptoQuotes/data/DOGE.rda |only cryptoQuotes-1.3.0/cryptoQuotes/data/FGIndex.rda |binary cryptoQuotes-1.3.0/cryptoQuotes/inst/doc/cryptoQuotes.R | 86 - cryptoQuotes-1.3.0/cryptoQuotes/inst/doc/cryptoQuotes.Rmd | 113 - cryptoQuotes-1.3.0/cryptoQuotes/inst/doc/cryptoQuotes.html | 200 +- cryptoQuotes-1.3.0/cryptoQuotes/man/ATOM.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/man/BTC.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/man/DOGE.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/man/FGIndex.Rd | 10 cryptoQuotes-1.3.0/cryptoQuotes/man/GET.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/man/add_event.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/man/alma.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/man/assert.Rd |only cryptoQuotes-1.3.0/cryptoQuotes/man/availableExchanges.Rd | 43 cryptoQuotes-1.3.0/cryptoQuotes/man/availableIntervals.Rd | 90 - 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Title: Automatic Machine Learning with 'tidymodels'
Description: The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Diff between tidyAML versions 0.0.4 dated 2024-01-09 and 0.0.5 dated 2024-03-12
DESCRIPTION | 19 +- MD5 | 50 ++++--- NAMESPACE | 4 NEWS.md | 15 ++ R/00_global_variables.R | 2 R/internals-make-preds-wflw.R | 1 R/make-classification-fast.R | 1 R/make-regression-fast.R | 1 R/plot-regression-predictions.R |only R/plot-regression-residuals.R |only R/utils-lib-loads.R | 10 - R/utils-pipe.R |only README.md | 230 ++++++++++++++-------------------- inst/doc/getting-started.html | 36 ++--- man/extract_model_spec.Rd | 2 man/extract_regression_residuals.Rd | 2 man/extract_wflw_fit.Rd | 2 man/extract_wflw_pred.Rd | 2 man/get_model.Rd | 4 man/internal_make_fitted_wflw.Rd | 2 man/internal_make_spec_tbl.Rd | 2 man/internal_make_wflw_gee_lin_reg.Rd | 2 man/internal_make_wflw_predictions.Rd | 2 man/internal_set_args_to_tune.Rd | 2 man/make_classification_base_tbl.Rd | 2 man/make_regression_base_tbl.Rd | 2 man/pipe.Rd |only man/plot_regression_predictions.Rd |only man/plot_regression_residuals.Rd |only 29 files changed, 191 insertions(+), 204 deletions(-)
Title: Helper Functions for Structural Equation Modeling
Description: An assortment of helper functions for doing structural equation
modeling, mainly by 'lavaan' for now. Most of them are time-saving functions
for common tasks in doing structural equation modeling and reading the
output. This package is not for functions that implement advanced statistical
procedures. It is a light-weight package for simple functions that do simple
tasks conveniently, with as few dependencies as possible.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Diff between semhelpinghands versions 0.1.9 dated 2023-09-17 and 0.1.10 dated 2024-03-12
DESCRIPTION | 10 MD5 | 179 NAMESPACE | 120 NEWS.md | 221 R/add_sig.R | 388 - R/annotate_model.R | 230 R/auto_cov.R | 386 - R/compare_estimators.R | 260 - R/data_dvs_ivs.R | 60 R/data_simple_mediation.R | 66 R/filter_by.R | 292 - R/fitMeasures_by_models.R |only R/format_est_mat.R | 104 R/group_by_dvs.R | 578 +- R/group_by_groups.R | 282 - R/group_by_helpers.R | 92 R/group_by_models.R | 389 - R/lav_eq.R | 62 R/plot_boot.R | 668 +- R/plot_models_fm.R | 520 +- R/print_est_table.R | 122 R/print_fit_by_models.R |only R/print_std_solution_boot.R | 356 - R/ptable_to_syntax.R |only R/record_history.R | 702 +- R/semhelpinghands-package.R | 16 R/show_ifi.R | 670 +- R/show_more_options.R | 538 +- R/show_options.R | 324 - R/sort_by.R | 230 R/standardizedSolution_boot_ci.R | 766 +- R/store_boot_def.R | 296 - R/to_vectors.R | 922 +-- README.md | 224 build/partial.rdb |binary build/vignette.rds |binary inst/doc/semhelpinghands.Rmd | 930 +-- inst/doc/semhelpinghands.html | 938 +-- inst/doc/standardizedSolution_boot_ci.Rmd | 456 - inst/doc/standardizedSolution_boot_ci.html | 182 man/add_sig.Rd | 258 - man/annotate_matrices.Rd | 180 man/auto_cov.Rd | 268 - man/compare_estimators.Rd | 198 man/dvs_ivs.Rd | 82 man/filter_by.Rd | 232 man/fitMeasures_by_models.Rd |only man/group_by_groups.Rd | 230 man/group_by_models.Rd | 228 man/group_estimates.Rd | 256 - man/plot_boot.Rd | 470 - man/plot_models_fm.Rd | 282 - man/print.est_table.Rd | 72 man/print.fit_by_models.Rd |only man/print.std_solution_boot.Rd | 194 man/ptable_to_syntax.Rd |only man/record_history.Rd | 252 man/semhelpinghands-package.Rd | 50 man/show_ifi.Rd | 170 man/show_more_options.Rd | 212 man/show_options.Rd | 180 man/simple_mediation.Rd | 88 man/sort_by.Rd | 198 man/standardizedSolution_boot_ci.Rd | 388 - man/store_boot_def.Rd | 224 man/vector_from_lavaan.Rd | 494 - tests/testthat.R | 8 tests/testthat/test-annotate_model.R | 74 tests/testthat/test-auto_cov.R | 98 tests/testthat/test-compare_estimators.R | 96 tests/testthat/test-compare_fit.R |only tests/testthat/test-filter_by.R | 104 tests/testthat/test-group_by_dvs.R | 108 tests/testthat/test-group_by_group.R | 124 tests/testthat/test-group_by_models.R | 214 tests/testthat/test-lav_eq.R | 96 tests/testthat/test-plot_boot.R | 150 tests/testthat/test-plot_models_fm.R | 66 tests/testthat/test-ptable_to_syntax.R |only tests/testthat/test-ptable_to_syntax_incomplete.R |only tests/testthat/test-sort_by.R | 144 tests/testthat/test-standardizedSolution_boot_ci.R | 148 tests/testthat/test-standardizedSolution_boot_ci_cfa.R | 90 tests/testthat/test-standardizedSolution_boot_ci_eq.R | 118 tests/testthat/test-standardizedSolution_boot_ci_print.R | 186 tests/testthat/test-store_boot_def.R | 214 tests/testthat/test-to_vectors.R | 456 - vignettes/apa.csl | 3832 +++++++-------- vignettes/articles/apa.csl | 3832 +++++++-------- vignettes/articles/plot_boot.Rmd | 528 +- vignettes/articles/references.bib | 40 vignettes/references.bib | 40 vignettes/semhelpinghands.Rmd | 930 +-- vignettes/standardizedSolution_boot_ci.Rmd | 456 - vignettes/standardizedSolution_boot_ci.Rmd.original | 362 - 95 files changed, 15180 insertions(+), 15119 deletions(-)
More information about semhelpinghands at CRAN
Permanent link
Title: Advanced Inference with Random Graphical Models
Description: Implements state-of-the-art Random Graphical Models (RGMs) for multivariate data analysis across multiple environments, offering tools for exploring network interactions and structural relationships. Capabilities include joint inference across environments, integration of external covariates, and a Bayesian framework for uncertainty quantification. Applicable in various fields, including microbiome analysis. Methods based on Vinciotti, V., Wit, E., & Richter, F. (2023). "Random Graphical Model of Microbiome Interactions in Related Environments." <arXiv:2304.01956>.
Author: Francisco Richter [aut, cre],
Veronica Vinciotti [ctb],
Ernst Wit [ctb]
Maintainer: Francisco Richter <richtf@usi.ch>
Diff between rgm versions 1.0.1 dated 2024-01-12 and 1.0.3 dated 2024-03-12
DESCRIPTION | 11 - MD5 | 17 +- NAMESPACE | 42 ----- R/imports.R |only R/rgm-auxilaryfunctions.R | 355 +++++++++------------------------------------- R/rgm.R | 18 +- R/sim.rgm.R | 16 +- inst/doc/rgm.R | 4 man/Gmcmc.Rd |only man/bpr.Rd |only man/rot.Rd |only man/sample.data.Rd |only 12 files changed, 109 insertions(+), 354 deletions(-)
Title: Estimating Public and Private Sector Contraceptive Market Supply
Shares
Description: Family Planning programs and initiatives typically use nationally representative surveys to estimate key indicators of a country’s family planning progress. However, in recent years, routinely collected family planning services data (Service Statistics) have been used as a supplementary data source to bridge gaps in the surveys. The use of service statistics comes with the caveat that adjustments need to be made for missing private sector contributions to the contraceptive method supply chain. Evaluating the supply source of modern contraceptives often relies on Demographic Health Surveys (DHS), where many countries do not have recent data beyond 2015/16. Fortunately, in the absence of recent surveys we can rely on statistical model-based estimates and projections to fill the knowledge gap. We present a Bayesian, hierarchical, penalized-spline model with multivariate-normal spline coefficients, to account for across method correlations, to produce country-specific,annual estimates for [...truncated...]
Author: Hannah Comiskey [aut, cre],
Niamh Cahill [aut],
Leontine Alkema [aut]
Maintainer: Hannah Comiskey <hannah.comiskey.2015@mumail.ie>
Diff between mcmsupply versions 0.2.2 dated 2023-08-14 and 1.0.1 dated 2024-03-12
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mcmsupply-1.0.1/mcmsupply/inst/doc/national_singlecountry_customdata_models.R |only mcmsupply-1.0.1/mcmsupply/inst/doc/national_singlecountry_customdata_models.Rmd |only mcmsupply-1.0.1/mcmsupply/inst/doc/national_singlecountry_customdata_models.html |only mcmsupply-1.0.1/mcmsupply/inst/doc/national_singlecountry_mod.R |only mcmsupply-1.0.1/mcmsupply/inst/doc/national_singlecountry_mod.Rmd |only mcmsupply-1.0.1/mcmsupply/inst/doc/national_singlecountry_mod.html |only mcmsupply-1.0.1/mcmsupply/inst/doc/package_data.R | 9 mcmsupply-1.0.1/mcmsupply/inst/doc/package_data.Rmd | 9 mcmsupply-1.0.1/mcmsupply/inst/doc/package_data.html | 104 +-- mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_multicountry_models.R |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_multicountry_models.Rmd |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_multicountry_models.html |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_singlecountry_customdata_models.R |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_singlecountry_customdata_models.Rmd |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_singlecountry_customdata_models.html |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_singlecountry_models.R |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_singlecountry_models.Rmd |only mcmsupply-1.0.1/mcmsupply/inst/doc/subnational_singlecountry_models.html |only mcmsupply-1.0.1/mcmsupply/inst/model/multicountry_national_bivarlogit_normal_model.jags |only mcmsupply-1.0.1/mcmsupply/inst/model/multicountry_subnational_logitnormal_model.jags |only mcmsupply-1.0.1/mcmsupply/inst/model/singlecountry_national_bivarlogitnormal_model.jags |only mcmsupply-1.0.1/mcmsupply/man/get_posterior_P_samps.Rd |only mcmsupply-1.0.1/mcmsupply/man/national_FPsource_VARCOV_bivarlogitnormal.Rd |only mcmsupply-1.0.1/mcmsupply/man/national_FPsource_data.Rd | 20 mcmsupply-1.0.1/mcmsupply/man/national_estimated_correlations_bivarlogitnormal.Rd |only mcmsupply-1.0.1/mcmsupply/man/national_inv_sigma_delta_hat_bivarlogitnorm.Rd |only mcmsupply-1.0.1/mcmsupply/man/national_tau_alpha_cms_hat_bivarlogitnorm.Rd |only mcmsupply-1.0.1/mcmsupply/man/national_theta_rms_hat_bivarlogitnorm.Rd |only mcmsupply-1.0.1/mcmsupply/man/national_varcov_order_bivarlogitnormal.Rd |only mcmsupply-1.0.1/mcmsupply/man/pull_estimates.Rd |only mcmsupply-1.0.1/mcmsupply/tests/testthat/test-get_posterior_P_samps.R |only mcmsupply-1.0.1/mcmsupply/tests/testthat/test-pull_estimates.R |only mcmsupply-1.0.1/mcmsupply/tests/testthat/test-run_jags_model.R | 2 mcmsupply-1.0.1/mcmsupply/vignettes/national_multicountry_mod.Rmd |only mcmsupply-1.0.1/mcmsupply/vignettes/national_singlecountry_customdata_models.Rmd |only mcmsupply-1.0.1/mcmsupply/vignettes/national_singlecountry_mod.Rmd |only mcmsupply-1.0.1/mcmsupply/vignettes/package_data.Rmd | 9 mcmsupply-1.0.1/mcmsupply/vignettes/subnational_multicountry_models.Rmd |only mcmsupply-1.0.1/mcmsupply/vignettes/subnational_singlecountry_customdata_models.Rmd |only mcmsupply-1.0.1/mcmsupply/vignettes/subnational_singlecountry_models.Rmd |only 108 files changed, 360 insertions(+), 271 deletions(-)
Title: An R Interface for Downloading, Reading, and Handling IPUMS Data
Description: An easy way to work with census, survey, and geographic data
provided by IPUMS in R. Generate and download data through the IPUMS
API and load IPUMS files into R with their associated metadata to
make analysis easier. IPUMS data describing 1.4 billion individuals
drawn from over 750 censuses and surveys is available free of charge
from the IPUMS website <https://www.ipums.org>.
Author: Greg Freedman Ellis [aut],
Derek Burk [aut, cre],
Finn Roberts [aut],
Joe Grover [ctb],
Dan Ehrlich [ctb],
Renae Rodgers [ctb],
Institute for Social Research and Data Innovation [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>
Diff between ipumsr versions 0.7.1 dated 2024-02-26 and 0.7.2 dated 2024-03-12
DESCRIPTION | 10 +- MD5 | 32 ++++----- NEWS.md | 4 + tests/testthat.R | 10 ++ tests/testthat/_snaps |only tests/testthat/test_api_define_extract.R | 2 tests/testthat/test_api_extract_info.R | 103 +++++++++++++++++------------- tests/testthat/test_api_helpers.R | 46 ++++++++++--- tests/testthat/test_api_process_extract.R | 86 +++++++++++++++++++------ tests/testthat/test_deprec_dir_read.R | 16 +++- tests/testthat/test_ipums_website.R | 15 ++-- tests/testthat/test_micro.R | 11 ++- tests/testthat/test_nhgis.R | 30 +++----- tests/testthat/test_read_ddi.R | 7 +- tests/testthat/test_shape_join.R | 8 +- tests/testthat/test_shape_read.R | 28 ++++---- tests/testthat/test_viewer.R | 30 +++++--- 17 files changed, 287 insertions(+), 151 deletions(-)
Title: Crop Growing Degree Days and Agrometeorological Calculations
Description: Calculate agrometeorological variables for crops
including growing degree days (McMaster, GS & Wilhelm, WW
(1997) <doi:10.1016/S0168-1923(97)00027-0>), cumulative
rainfall, number of stress days and cumulative or mean
radiation and evaporation. Convert dates to day of year
and vice versa. Also, download curated and interpolated
Australian weather data from the Queensland Government
DES longpaddock website
<https://www.longpaddock.qld.gov.au/>. This data is
freely available under the Creative Commons 4.0 licence.
Author: Peter Baker [aut, cre] ,
Miranda Mortlock [aut]
Maintainer: Peter Baker <drpetebaker@gmail.com>
Diff between cropgrowdays versions 0.2.0 dated 2023-05-25 and 0.2.1 dated 2024-03-12
cropgrowdays-0.2.0/cropgrowdays/man/cropgrowdays.Rd |only cropgrowdays-0.2.1/cropgrowdays/DESCRIPTION | 8 cropgrowdays-0.2.1/cropgrowdays/MD5 | 26 cropgrowdays-0.2.1/cropgrowdays/NEWS.md | 7 cropgrowdays-0.2.1/cropgrowdays/R/cropgrowdays-package.R | 9 cropgrowdays-0.2.1/cropgrowdays/README.md | 7 cropgrowdays-0.2.1/cropgrowdays/build/partial.rdb |binary cropgrowdays-0.2.1/cropgrowdays/build/vignette.rds |binary cropgrowdays-0.2.1/cropgrowdays/inst/doc/crop-grow-days.R | 16 cropgrowdays-0.2.1/cropgrowdays/inst/doc/crop-grow-days.html | 304 +++++----- cropgrowdays-0.2.1/cropgrowdays/inst/doc/getting-weather-data.R | 2 cropgrowdays-0.2.1/cropgrowdays/inst/doc/getting-weather-data.Rmd | 10 cropgrowdays-0.2.1/cropgrowdays/inst/doc/getting-weather-data.html | 94 +-- cropgrowdays-0.2.1/cropgrowdays/man/cropgrowdays-package.Rd |only cropgrowdays-0.2.1/cropgrowdays/vignettes/getting-weather-data.Rmd | 10 15 files changed, 248 insertions(+), 245 deletions(-)
Title: Classification Using Binary Procrustes Rotation
Description: Implements a classification method described by Grice (2011, ISBN:978-0-12-385194-9) using
binary procrustes rotation; a simplified version of procrustes rotation.
Author: Timothy Beechey [aut, cre]
Maintainer: Timothy Beechey <tim.beechey@proton.me>
Diff between clubpro versions 0.5.5 dated 2023-10-06 and 0.6.0 dated 2024-03-12
clubpro-0.5.5/clubpro/man/figures/README-plot_data-1.png |only clubpro-0.5.5/clubpro/man/figures/README-simulate_data-1.png |only clubpro-0.5.5/clubpro/man/print.clubprofit.Rd |only clubpro-0.6.0/clubpro/DESCRIPTION | 19 clubpro-0.6.0/clubpro/MD5 | 71 ++ clubpro-0.6.0/clubpro/NAMESPACE | 50 + clubpro-0.6.0/clubpro/NEWS.md |only clubpro-0.6.0/clubpro/R/RcppExports.R | 12 clubpro-0.6.0/clubpro/R/accuracy.R |only clubpro-0.6.0/clubpro/R/classify.R | 278 ++++++----- clubpro-0.6.0/clubpro/R/clubpro-package.R | 21 clubpro-0.6.0/clubpro/R/compare.R |only clubpro-0.6.0/clubpro/R/csi.R |only clubpro-0.6.0/clubpro/R/cval.R |only clubpro-0.6.0/clubpro/R/data.R |only clubpro-0.6.0/clubpro/R/pcc.R |only clubpro-0.6.0/clubpro/R/predict.R |only clubpro-0.6.0/clubpro/R/summary.R |only clubpro-0.6.0/clubpro/R/utility.R | 220 ++++---- clubpro-0.6.0/clubpro/README.md | 119 ---- clubpro-0.6.0/clubpro/build |only clubpro-0.6.0/clubpro/data |only clubpro-0.6.0/clubpro/inst/doc |only clubpro-0.6.0/clubpro/inst/tinytest/test_clubpro.R | 236 ++++++++- clubpro-0.6.0/clubpro/man/accuracy.Rd |only clubpro-0.6.0/clubpro/man/as.data.frame.clubprocsi.Rd |only clubpro-0.6.0/clubpro/man/as.data.frame.clubprorand.Rd |only clubpro-0.6.0/clubpro/man/caffeine.Rd |only clubpro-0.6.0/clubpro/man/club.Rd | 27 - clubpro-0.6.0/clubpro/man/compare.Rd |only clubpro-0.6.0/clubpro/man/csi.Rd |only clubpro-0.6.0/clubpro/man/cval.Rd |only clubpro-0.6.0/clubpro/man/figures/README-plot-1.png |binary clubpro-0.6.0/clubpro/man/individual_results.Rd | 8 clubpro-0.6.0/clubpro/man/jellyfish.Rd |only clubpro-0.6.0/clubpro/man/median_csi.Rd |only clubpro-0.6.0/clubpro/man/n_ambiguous.Rd |only clubpro-0.6.0/clubpro/man/n_correct.Rd |only clubpro-0.6.0/clubpro/man/n_incorrect.Rd |only clubpro-0.6.0/clubpro/man/pcc.Rd |only clubpro-0.6.0/clubpro/man/pcc_replicates.Rd |only clubpro-0.6.0/clubpro/man/plot.clubproaccuracy.Rd |only clubpro-0.6.0/clubpro/man/plot.clubprocomparison.Rd |only clubpro-0.6.0/clubpro/man/plot.clubprocsi.Rd |only clubpro-0.6.0/clubpro/man/plot.clubprofit.Rd | 9 clubpro-0.6.0/clubpro/man/plot.clubpropredictions.Rd |only clubpro-0.6.0/clubpro/man/plot.clubprorand.Rd |only clubpro-0.6.0/clubpro/man/predict.clubprofit.Rd |only clubpro-0.6.0/clubpro/man/summary.clubprocomparison.Rd |only clubpro-0.6.0/clubpro/man/summary.clubprofit.Rd | 16 clubpro-0.6.0/clubpro/src/RcppExports.cpp | 34 - clubpro-0.6.0/clubpro/src/cpp_functions.cpp | 69 +- clubpro-0.6.0/clubpro/tests |only clubpro-0.6.0/clubpro/vignettes |only 54 files changed, 750 insertions(+), 439 deletions(-)
More information about rgeoboundaries at CRAN
Permanent link
Title: Interact with Moscow Exchange Informational and Statistical
Server ('ISS')
Description: This is a thin wrapper around the 'MOEX' 'ISS' REST interface, see
<https://iss.moex.com>. It allows to quickly fetch price candles for a
particular security, obtain its profile information and so on.
Author: Dmitry Zotikov [aut, cre, cph]
Maintainer: Dmitry Zotikov <dmitry.zotikov@ungrund.org>
Diff between moexer versions 0.2.0 dated 2023-01-05 and 0.3.0 dated 2024-03-12
DESCRIPTION | 11 MD5 | 22 - NAMESPACE | 14 - NEWS.md | 19 + R/candles.R | 83 +++++- R/imports.R | 7 R/iss.R | 182 ++++++++++---- README.md | 389 +++++++++++++++++++++++++++++-- man/fetching_fully.Rd |only man/figures/README-unnamed-chunk-6-1.png |binary man/following_cursor.Rd |only man/get_candles.Rd | 35 ++ man/query_iss.Rd | 24 - 13 files changed, 643 insertions(+), 143 deletions(-)
Title: Processing Force-Plate Data
Description: Process raw force-plate data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive
statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data a baseline
correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the
segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the
options (e.g., choice of low-pass filter) are also suggested by Winter (2009) <doi:10.1002/9780470549148>.
Author: Raphae Hartmann [aut, cre] ,
Anton Koger [aut, ctb] ,
Leif Johannsen [ctb]
Maintainer: Raphae Hartmann <raphael.hartmann@protonmail.com>
Diff between forceplate versions 1.1-1 dated 2024-02-23 and 1.1-3 dated 2024-03-12
forceplate-1.1-1/forceplate/README.md |only forceplate-1.1-1/forceplate/man/figures |only forceplate-1.1-3/forceplate/DESCRIPTION | 8 +- forceplate-1.1-3/forceplate/MD5 | 16 +--- forceplate-1.1-3/forceplate/NAMESPACE | 1 forceplate-1.1-3/forceplate/R/combine_data.R | 71 +++++++++++++++------ forceplate-1.1-3/forceplate/R/time_lock_stats.R | 6 - forceplate-1.1-3/forceplate/man/combine_data.Rd | 18 +++++ forceplate-1.1-3/forceplate/man/time_lock_stats.Rd | 6 - 9 files changed, 87 insertions(+), 39 deletions(-)
Title: Generate Citation File Format ('cff') Metadata for R Packages
Description: The Citation File Format version 1.2.0
<doi:10.5281/zenodo.5171937> is a human and machine readable file
format which provides citation metadata for software. This package
provides core utilities to generate and validate this metadata.
Author: Diego Hernangomez [aut, cre, cph]
,
Joao Martins [rev] ,
Scott Chamberlain [rev]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>
Diff between cffr versions 0.5.0 dated 2023-05-05 and 1.0.0 dated 2024-03-12
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Title: Bayesian Network Structure Learning, Parameter Learning and
Inference
Description: Bayesian network structure learning, parameter learning and inference.
This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC,
Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu
Search) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete,
Gaussian and conditional Gaussian networks, along with many score functions and
conditional independence tests.
The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented.
Some utility functions (model comparison and manipulation, random data generation, arc
orientation testing, simple and advanced plots) are included, as well as support for
parameter estimation (maximum likelihood and Bayesian) and inference, conditional
probability queries, cross-validation, bootstrap and model averaging.
Development snapshots with the latest bugfixes are available from <https://www.bnlearn.com/>.
Author: Marco Scutari [aut, cre], Tomi Silander [ctb], Robert Ness [ctb]
Maintainer: Marco Scutari <scutari@bnlearn.com>
Diff between bnlearn versions 4.9.1 dated 2023-12-05 and 4.9.2 dated 2024-03-12
Changelog | 2 +- DESCRIPTION | 8 ++++---- MD5 | 6 +++--- man/igraphpkg.Rd | 2 +- 4 files changed, 9 insertions(+), 9 deletions(-)
Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language
development platform for in-memory data. It specifies a standardized
language-independent columnar memory format for flat and hierarchical data,
organized for efficient analytic operations on modern hardware. This
package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut],
Ian Cook [aut],
Nic Crane [aut, cre],
Dewey Dunnington [aut] ,
Romain Francois [aut] ,
Jonathan Keane [aut],
Dragoș Moldovan-Gruenfeld [aut],
Jeroen Ooms [aut],
Jacob Wujciak-Jens [aut],
Javier Luraschi [ctb],
Karl Dunkle Werner [...truncated...]
Maintainer: Nic Crane <thisisnic@gmail.com>
Diff between arrow versions 14.0.2.1 dated 2024-02-23 and 15.0.1 dated 2024-03-12
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arrow-15.0.1/arrow/tools/cpp/src/arrow/util/rle_encoding.h | 2 arrow-15.0.1/arrow/tools/cpp/src/arrow/util/string.cc | 42 arrow-15.0.1/arrow/tools/cpp/src/arrow/util/string.h | 4 arrow-15.0.1/arrow/tools/cpp/src/arrow/util/tdigest.cc | 2 arrow-15.0.1/arrow/tools/cpp/src/arrow/visit_data_inline.h | 47 arrow-15.0.1/arrow/tools/cpp/src/arrow/visitor.cc | 14 arrow-15.0.1/arrow/tools/cpp/src/arrow/visitor.h | 12 arrow-15.0.1/arrow/tools/cpp/src/arrow/visitor_generate.h | 4 arrow-15.0.1/arrow/tools/cpp/src/generated/File_generated.h | 102 arrow-15.0.1/arrow/tools/cpp/src/generated/Message_generated.h | 204 arrow-15.0.1/arrow/tools/cpp/src/generated/Schema_generated.h | 818 +- arrow-15.0.1/arrow/tools/cpp/src/generated/SparseTensor_generated.h | 238 arrow-15.0.1/arrow/tools/cpp/src/generated/Tensor_generated.h | 113 arrow-15.0.1/arrow/tools/cpp/src/generated/feather_generated.h | 278 arrow-15.0.1/arrow/tools/cpp/src/generated/parquet_types.cpp | 3061 +++++----- arrow-15.0.1/arrow/tools/cpp/src/generated/parquet_types.h | 291 arrow-15.0.1/arrow/tools/cpp/src/parquet/CMakeLists.txt | 40 arrow-15.0.1/arrow/tools/cpp/src/parquet/arrow/path_internal.cc | 8 arrow-15.0.1/arrow/tools/cpp/src/parquet/arrow/path_internal.h | 4 arrow-15.0.1/arrow/tools/cpp/src/parquet/arrow/reader_internal.cc | 25 arrow-15.0.1/arrow/tools/cpp/src/parquet/arrow/schema.cc | 7 arrow-15.0.1/arrow/tools/cpp/src/parquet/arrow/schema_internal.cc | 10 arrow-15.0.1/arrow/tools/cpp/src/parquet/arrow/test_util.h | 21 arrow-15.0.1/arrow/tools/cpp/src/parquet/arrow/writer.cc | 20 arrow-15.0.1/arrow/tools/cpp/src/parquet/bloom_filter.cc | 28 arrow-15.0.1/arrow/tools/cpp/src/parquet/bloom_filter.h | 9 arrow-15.0.1/arrow/tools/cpp/src/parquet/bloom_filter_reader.cc | 13 arrow-15.0.1/arrow/tools/cpp/src/parquet/column_reader.cc | 149 arrow-15.0.1/arrow/tools/cpp/src/parquet/column_reader.h | 10 arrow-15.0.1/arrow/tools/cpp/src/parquet/column_writer.cc | 86 arrow-15.0.1/arrow/tools/cpp/src/parquet/column_writer.h | 6 arrow-15.0.1/arrow/tools/cpp/src/parquet/encoding.cc | 86 arrow-15.0.1/arrow/tools/cpp/src/parquet/encoding.h | 2 arrow-15.0.1/arrow/tools/cpp/src/parquet/encoding_benchmark.cc | 2 arrow-15.0.1/arrow/tools/cpp/src/parquet/encryption/encryption_internal.cc | 13 arrow-15.0.1/arrow/tools/cpp/src/parquet/encryption/encryption_internal.h | 8 arrow-15.0.1/arrow/tools/cpp/src/parquet/encryption/encryption_internal_nossl.cc | 2 arrow-15.0.1/arrow/tools/cpp/src/parquet/encryption/openssl_internal.cc |only arrow-15.0.1/arrow/tools/cpp/src/parquet/encryption/openssl_internal.h |only arrow-15.0.1/arrow/tools/cpp/src/parquet/encryption/test_encryption_util.h | 2 arrow-15.0.1/arrow/tools/cpp/src/parquet/file_reader.cc | 93 arrow-15.0.1/arrow/tools/cpp/src/parquet/file_reader.h | 21 arrow-15.0.1/arrow/tools/cpp/src/parquet/file_writer.cc | 10 arrow-15.0.1/arrow/tools/cpp/src/parquet/file_writer.h | 12 arrow-15.0.1/arrow/tools/cpp/src/parquet/level_conversion.h | 22 arrow-15.0.1/arrow/tools/cpp/src/parquet/metadata.cc | 11 arrow-15.0.1/arrow/tools/cpp/src/parquet/metadata.h | 1 arrow-15.0.1/arrow/tools/cpp/src/parquet/page_index.cc | 2 arrow-15.0.1/arrow/tools/cpp/src/parquet/page_index.h | 6 arrow-15.0.1/arrow/tools/cpp/src/parquet/parquet.thrift | 132 arrow-15.0.1/arrow/tools/cpp/src/parquet/printer.cc | 28 arrow-15.0.1/arrow/tools/cpp/src/parquet/properties.h | 6 arrow-15.0.1/arrow/tools/cpp/src/parquet/schema.cc | 6 arrow-15.0.1/arrow/tools/cpp/src/parquet/statistics.cc | 191 arrow-15.0.1/arrow/tools/cpp/src/parquet/statistics.h | 10 arrow-15.0.1/arrow/tools/cpp/src/parquet/stream_writer.cc | 4 arrow-15.0.1/arrow/tools/cpp/src/parquet/stream_writer.h | 2 arrow-15.0.1/arrow/tools/cpp/src/parquet/test_util.cc | 10 arrow-15.0.1/arrow/tools/cpp/src/parquet/test_util.h | 4 arrow-15.0.1/arrow/tools/cpp/src/parquet/types.cc | 26 arrow-15.0.1/arrow/tools/cpp/src/parquet/types.h | 13 arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/README.md | 506 + arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/allocator.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/array.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/base.h | 178 arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/buffer.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/buffer_ref.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/default_allocator.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/detached_buffer.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/flatbuffer_builder.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/flatbuffers.h | 2607 -------- arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/stl_emulation.h | 658 +- arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/string.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/struct.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/table.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/vector.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/vector_downward.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/flatbuffers/include/flatbuffers/verifier.h |only arrow-15.0.1/arrow/tools/cpp/thirdparty/versions.txt | 8 arrow-15.0.1/arrow/tools/cpp/vcpkg.json | 2 arrow-15.0.1/arrow/tools/dotenv | 2 arrow-15.0.1/arrow/tools/nixlibs.R | 13 arrow-15.0.1/arrow/tools/update-checksums.R | 2 429 files changed, 13893 insertions(+), 7781 deletions(-)
Title: Calculating Multiple Performance Metrics of a Prediction Model
Description: Provides a function to calculate multiple performance metrics for actual and predicted values. In total eight metrics will be calculated for particular actual and predicted series. Helps to describe a Statistical model's performance in predicting a data. Also helps to compare various models' performance. The metrics are Root Mean Squared Error (RMSE), Relative Root Mean Squared Error (RRMSE), Mean absolute Error (MAE), Mean absolute percentage error (MAPE), Mean Absolute Scaled Error (MASE), Nash-Sutcliffe Efficiency (NSE), Willmott’s Index (WI), and Legates and McCabe Index (LME). Among them, first five are expected to be lesser whereas, the last three are greater the better. More details can be found from Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202> and Garai et al. (2024) <doi:10.1007/s11063-024-11552-w>.
Author: Dr. Sandip Garai [aut, cre]
Maintainer: Dr. Sandip Garai <sandipnicksandy@gmail.com>
Diff between AllMetrics versions 0.2.0 dated 2023-09-28 and 0.2.1 dated 2024-03-12
AllMetrics-0.2.0/AllMetrics/man/AllMetrics.Rd |only AllMetrics-0.2.1/AllMetrics/DESCRIPTION | 13 +++++++------ AllMetrics-0.2.1/AllMetrics/MD5 | 6 +++--- AllMetrics-0.2.1/AllMetrics/R/AllMetrics.R | 3 ++- AllMetrics-0.2.1/AllMetrics/man/all_metrics.Rd |only 5 files changed, 12 insertions(+), 10 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) <arXiv:1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <arXiv:1706.02205> and MaxMin ordering proposed in Guinness (2018) <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 0.1.6 dated 2024-02-08 and 0.1.7 dated 2024-03-12
DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- R/MRA_utility-functions.r | 4 ++-- inst/doc/GPvecchia_vignette.html | 4 ++-- src/Makevars | 3 --- src/Makevars.win | 3 --- src/Matern.cpp | 8 ++++---- src/Matern.h | 4 ++-- 8 files changed, 22 insertions(+), 28 deletions(-)
Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the
paper "Sequential Gradient Descent and Quasi-Newton's Method for
Change-Point Analysis" by Xianyang Zhang, Trisha Dawn
<https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is
based on dynamic programming with pruning and sequential gradient
descent. It is able to detect change points a magnitude faster than
the vanilla Pruned Exact Linear Time(PELT). The package includes
examples of linear regression, logistic regression, Poisson
regression, penalized linear regression data, and whole lot more
examples with custom cost function in case the user wants to use their
own cost function.
Author: Xingchi Li [aut, cre, cph] ,
Xianyang Zhang [aut, cph],
Trisha Dawn [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>
Diff between fastcpd versions 0.10.3 dated 2024-01-24 and 0.12.1 dated 2024-03-12
fastcpd-0.10.3/fastcpd/inst/doc/examples-introductory.R |only fastcpd-0.10.3/fastcpd/inst/doc/examples-introductory.Rmd |only fastcpd-0.10.3/fastcpd/inst/doc/examples-introductory.html |only fastcpd-0.10.3/fastcpd/tests/testthat/examples/data-well_log.R |only fastcpd-0.10.3/fastcpd/tests/testthat/examples/fastcpd.txt |only fastcpd-0.10.3/fastcpd/tests/testthat/test-examples-data-well_log.R |only fastcpd-0.10.3/fastcpd/vignettes/examples-introductory.Rmd |only fastcpd-0.12.1/fastcpd/DESCRIPTION | 15 fastcpd-0.12.1/fastcpd/MD5 | 172 - fastcpd-0.12.1/fastcpd/NAMESPACE | 8 fastcpd-0.12.1/fastcpd/NEWS.md | 41 fastcpd-0.12.1/fastcpd/R/RcppExports.R | 4 fastcpd-0.12.1/fastcpd/R/check.R | 102 fastcpd-0.12.1/fastcpd/R/fastcpd.R | 475 +-- fastcpd-0.12.1/fastcpd/R/fastcpd_class.R | 7 fastcpd-0.12.1/fastcpd/R/fastcpd_data.R | 4 fastcpd-0.12.1/fastcpd/R/fastcpd_wrappers.R | 105 fastcpd-0.12.1/fastcpd/R/variance_estimation.R |only fastcpd-0.12.1/fastcpd/README.md | 68 fastcpd-0.12.1/fastcpd/build/vignette.rds |binary fastcpd-0.12.1/fastcpd/inst/doc/comparison-packages.R | 857 +++++ fastcpd-0.12.1/fastcpd/inst/doc/comparison-packages.Rmd | 407 ++ fastcpd-0.12.1/fastcpd/inst/doc/comparison-packages.html | 1494 ++++++++-- fastcpd-0.12.1/fastcpd/inst/doc/examples-advanced.R | 2 fastcpd-0.12.1/fastcpd/inst/doc/examples-advanced.Rmd | 2 fastcpd-0.12.1/fastcpd/inst/doc/examples-advanced.html | 157 - fastcpd-0.12.1/fastcpd/inst/doc/examples-custom-model.R |only fastcpd-0.12.1/fastcpd/inst/doc/examples-custom-model.Rmd |only fastcpd-0.12.1/fastcpd/inst/doc/examples-custom-model.html |only fastcpd-0.12.1/fastcpd/man/bitcoin.Rd | 2 fastcpd-0.12.1/fastcpd/man/fastcpd-class.Rd | 2 fastcpd-0.12.1/fastcpd/man/fastcpd.Rd | 247 - fastcpd-0.12.1/fastcpd/man/fastcpd_ar.Rd | 11 fastcpd-0.12.1/fastcpd/man/fastcpd_arima.Rd | 8 fastcpd-0.12.1/fastcpd/man/fastcpd_arma.Rd | 8 fastcpd-0.12.1/fastcpd/man/fastcpd_binomial.Rd | 26 fastcpd-0.12.1/fastcpd/man/fastcpd_garch.Rd | 8 fastcpd-0.12.1/fastcpd/man/fastcpd_lasso.Rd | 13 fastcpd-0.12.1/fastcpd/man/fastcpd_lm.Rd | 30 fastcpd-0.12.1/fastcpd/man/fastcpd_ma.Rd | 8 fastcpd-0.12.1/fastcpd/man/fastcpd_mean.Rd | 16 fastcpd-0.12.1/fastcpd/man/fastcpd_meanvariance.Rd | 12 fastcpd-0.12.1/fastcpd/man/fastcpd_poisson.Rd | 8 fastcpd-0.12.1/fastcpd/man/fastcpd_ts.Rd | 12 fastcpd-0.12.1/fastcpd/man/fastcpd_var.Rd | 12 fastcpd-0.12.1/fastcpd/man/fastcpd_variance.Rd | 8 fastcpd-0.12.1/fastcpd/man/figures/README-ar3-1.png |binary fastcpd-0.12.1/fastcpd/man/uk_seatbelts.Rd | 2 fastcpd-0.12.1/fastcpd/man/variance_arma.Rd |only fastcpd-0.12.1/fastcpd/man/variance_lm.Rd |only fastcpd-0.12.1/fastcpd/man/variance_mean.Rd |only fastcpd-0.12.1/fastcpd/man/variance_median.Rd |only fastcpd-0.12.1/fastcpd/man/well_log.Rd | 55 fastcpd-0.12.1/fastcpd/src/RcppExports.cpp | 17 fastcpd-0.12.1/fastcpd/src/fastcpd_class.cc | 910 ++++-- fastcpd-0.12.1/fastcpd/src/fastcpd_class_cost.cc | 132 fastcpd-0.12.1/fastcpd/src/fastcpd_classes.h | 374 +- fastcpd-0.12.1/fastcpd/src/fastcpd_cost_wrappers.cc | 7 fastcpd-0.12.1/fastcpd/src/fastcpd_impl.cc | 279 - fastcpd-0.12.1/fastcpd/src/fastcpd_impl.h | 20 fastcpd-0.12.1/fastcpd/src/fastcpd_types.h | 26 fastcpd-0.12.1/fastcpd/src/test-functions.cc | 228 - fastcpd-0.12.1/fastcpd/tests/testthat/examples/data-bitcoin.txt | 2 fastcpd-0.12.1/fastcpd/tests/testthat/examples/data-uk_seatbelts.R | 2 fastcpd-0.12.1/fastcpd/tests/testthat/examples/data-well_log-quantile.txt |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/data-well_log_1.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/data-well_log_2.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_1.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_2.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_3.txt |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_4.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_binomial.R | 18 fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_lasso.txt | 5 fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_lm.R | 22 fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_mean-time.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_ts.txt | 2 fastcpd-0.12.1/fastcpd/tests/testthat/examples/fastcpd_var.R | 4 fastcpd-0.12.1/fastcpd/tests/testthat/examples/variance_arma.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/variance_lm.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/variance_mean.R |only fastcpd-0.12.1/fastcpd/tests/testthat/examples/variance_median.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-check.R | 13 fastcpd-0.12.1/fastcpd/tests/testthat/test-coverage.R | 117 fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-data-transcriptome.R | 5 fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-data-well_log-quantile.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-data-well_log_1.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-data-well_log_2.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_1.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_2.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_3.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_4.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_binomial.R | 2 fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_lasso.R | 2 fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_lm.R | 3 fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_mean-time.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_poisson.R | 2 fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-fastcpd_var.R | 2 fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-variance_arma.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-variance_lm.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-variance_mean.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-examples-variance_median.R |only fastcpd-0.12.1/fastcpd/tests/testthat/test-experiments.R | 2 fastcpd-0.12.1/fastcpd/tests/testthat/test-fastcpd-sanity.R | 37 fastcpd-0.12.1/fastcpd/vignettes/comparison-packages-well_log-cpts.svg |only fastcpd-0.12.1/fastcpd/vignettes/comparison-packages-well_log-time.svg |only fastcpd-0.12.1/fastcpd/vignettes/comparison-packages.Rmd | 407 ++ fastcpd-0.12.1/fastcpd/vignettes/examples-advanced.Rmd | 2 fastcpd-0.12.1/fastcpd/vignettes/examples-custom-model.Rmd |only 108 files changed, 5009 insertions(+), 2041 deletions(-)
Title: Colors for all
Description: Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
Author: Martijn Tennekes [aut, cre],
Marco Puts [ctb],
Achim Zeileis [ctb],
Jakub Nowosad [ctb],
Robin Lovelace [ctb],
Helgasoft [ctb],
Matthew Petroff [ctb],
Olivier Roy [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Diff between cols4all versions 0.7 dated 2024-03-06 and 0.7-1 dated 2024-03-12
cols4all-0.7-1/cols4all/DESCRIPTION | 8 ++++---- cols4all-0.7-1/cols4all/MD5 | 8 ++++---- cols4all-0.7-1/cols4all/NEWS.md | 3 +++ cols4all-0.7-1/cols4all/R/c4a_gui.R | 4 ++-- cols4all-0.7-1/cols4all/inst/img/cols4all_logo.png |only cols4all-0.7/cols4all/man/figures/logo.png |only 6 files changed, 13 insertions(+), 10 deletions(-)
Title: Convert 'tinytest' Output to JUnit XML
Description: Unit testing is a solid component of automated CI/CD pipelines. 'tinytest' - a light-weight,
zero-dependency alternative to 'testthat' was developed. To be able to integrate 'tinytests' results into common CI/CD
systems the 'tinytests'-object needs to be converted to JUnit XML format. 'tinytest2JUnit' enables this conversion
while keeping the zero-dependency nature.
Author: Anne-Katrin Hess [aut, cre],
Lennart Tuijnder [aut]
Maintainer: Anne-Katrin Hess <anne-katrin.hess@openanalytics.eu>
Diff between tinytest2JUnit versions 1.0.1 dated 2023-06-12 and 1.0.3 dated 2024-03-12
DESCRIPTION | 7 ++++--- MD5 | 8 +++++--- NEWS.md |only R/constructJUnitTag.R | 5 +++-- R/xml.R | 22 +++++++++++++++++++--- man/escapeXmlText.Rd |only 6 files changed, 31 insertions(+), 11 deletions(-)
More information about tinytest2JUnit at CRAN
Permanent link
Title: Work with Microsoft Access Files
Description: Use the open source 'MDB Tools' utilities
<https://github.com/mdbtools/mdbtools/>. Primarily used for converting
proprietary Microsoft Access files to simple text files and then
reading those as data frames.
Author: Kiernan Nicholls [aut, cre, cph]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>
Diff between mdbr versions 0.1.2 dated 2020-11-09 and 0.2.1 dated 2024-03-12
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Title: Semi-Parametric Gene-Environment Interaction via Bayesian
Variable Selection
Description: Many complex diseases are known to be affected by the interactions between
genetic variants and environmental exposures beyond the main genetic and environmental
effects. Existing Bayesian methods for gene-environment (G×E) interaction studies are
challenged by the high-dimensional nature of the study and the complexity of environmental
influences. We have developed a novel and powerful semi-parametric Bayesian variable
selection method that can accommodate linear and nonlinear G×E interactions simultaneously
(Ren et al. (2020) <doi:10.1002/sim.8434>). Furthermore, the proposed method can conduct
structural identification by distinguishing nonlinear interactions from main effects only
case within Bayesian framework. Spike-and-slab priors are incorporated on both individual
and group level to shrink coefficients corresponding to irrelevant main and interaction
effects to zero exactly. The Markov chain Monte Carlo algorithms of the proposed and
alternative methods are efficiently [...truncated...]
Author: Jie Ren, Fei Zhou, Xiaoxi Li, Cen Wu, Yu Jiang
Maintainer: Jie Ren <jieren@ksu.edu>
Diff between spinBayes versions 0.2.0 dated 2024-02-23 and 0.2.1 dated 2024-03-12
spinBayes-0.2.0/spinBayes/R/catch-routine-registration.R |only spinBayes-0.2.0/spinBayes/src/test-runner.cpp |only spinBayes-0.2.0/spinBayes/src/test-utilities.cpp |only spinBayes-0.2.0/spinBayes/tests/testthat/test-cpp.R |only spinBayes-0.2.1/spinBayes/DESCRIPTION | 9 ++++---- spinBayes-0.2.1/spinBayes/MD5 | 16 +++++---------- spinBayes-0.2.1/spinBayes/build/partial.rdb |binary spinBayes-0.2.1/spinBayes/src/Makevars | 7 +++++- spinBayes-0.2.1/spinBayes/src/Makevars.win | 7 +++++- spinBayes-0.2.1/spinBayes/src/RcppExports.cpp | 3 -- spinBayes-0.2.1/spinBayes/tests/testthat.R | 16 +++++++++++---- 11 files changed, 35 insertions(+), 23 deletions(-)
Title: Exact Hardy-Weinburg Testing for Genome Wide Association Studies
Description: Exact Hardy-Weinburg testing (using Fisher's test) for SNP genotypes
as typically obtained in a Genome Wide Association Study (GWAS).
Author: Ian Painter, University of Washington
Maintainer: Stephanie Gogarten <sdmorris@uw.edu>
Diff between GWASExactHW versions 1.01 dated 2013-01-05 and 1.2 dated 2024-03-12
DESCRIPTION | 20 ++++++++++---------- MD5 | 2 +- 2 files changed, 11 insertions(+), 11 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-02-28 0.1.2
2024-02-26 0.1.1
Title: Supporting Graphs for Analysing Time Series
Description: Provides 'ggplot2' graphics for analysing time
series data. It aims to fit into the 'tidyverse' and grammar of
graphics framework for handling temporal data.
Author: Earo Wang [aut, cre] ,
Di Cook [aut, ths] ,
Rob Hyndman [aut, ths]
Maintainer: Earo Wang <earo.wang@gmail.com>
Diff between sugrrants versions 0.2.8 dated 2020-10-05 and 0.2.9 dated 2024-03-12
DESCRIPTION | 8 MD5 | 30 +- R/frame-calendar.R | 6 R/prettify.R | 7 README.md | 71 ++-- build/vignette.rds |binary inst/CITATION | 2 inst/doc/frame-calendar.Rmd | 2 inst/doc/frame-calendar.html | 560 ++++++++++++++++++++++++--------------- man/facet-calendar.Rd | 4 man/figures/calendar-plot-1.png |binary man/figures/facet-calendar-1.png |binary man/stat_acf.Rd | 20 - man/sugrrants-geom.Rd | 14 man/sugrrants-package.Rd | 2 vignettes/frame-calendar.Rmd | 2 16 files changed, 439 insertions(+), 289 deletions(-)
Title: Access Formula 1 Data
Description: Obtain Formula 1 data via the 'Ergast API' <https://ergast.com/mrd/> and the unofficial API <https://www.formula1.com/en/f1-live.html> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.
Author: Santiago Casanova [aut, cre, cph],
Philip Bulsink [aut]
Maintainer: Santiago Casanova <santiago.casanova@yahoo.com>
Diff between f1dataR versions 1.5.0 dated 2024-01-24 and 1.5.1 dated 2024-03-12
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