Title: Open Population Capture-Recapture
Description: Non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between openCR versions 2.2.2 dated 2022-01-17 and 2.2.4 dated 2022-07-01
openCR-2.2.2/openCR/R/derived.r |only openCR-2.2.2/openCR/R/openCR.make.newdata.R |only openCR-2.2.2/openCR/R/ucare.R |only openCR-2.2.2/openCR/README.md |only openCR-2.2.2/openCR/man/ucare.Rd |only openCR-2.2.4/openCR/DESCRIPTION | 25 +- openCR-2.2.4/openCR/MD5 | 40 ++-- openCR-2.2.4/openCR/NAMESPACE | 6 openCR-2.2.4/openCR/NEWS | 25 ++ openCR-2.2.4/openCR/R/derived.openCR.r |only openCR-2.2.4/openCR/R/makeNewData.openCR.R |only openCR-2.2.4/openCR/R/openCR.fit.R | 3 openCR-2.2.4/openCR/R/par.openCR.fit.R | 10 - openCR-2.2.4/openCR/R/predict.openCR.R | 17 + openCR-2.2.4/openCR/R/utility.R | 11 - openCR-2.2.4/openCR/build/partial.rdb |binary openCR-2.2.4/openCR/build/vignette.rds |binary openCR-2.2.4/openCR/inst/doc/openCR-vignette.R | 8 openCR-2.2.4/openCR/inst/doc/openCR-vignette.Rmd | 151 +++++++++-------- openCR-2.2.4/openCR/inst/doc/openCR-vignette.pdf |binary openCR-2.2.4/openCR/inst/exampledata/stratifiedfit.RDS |only openCR-2.2.4/openCR/man/openCR-defunct.Rd | 7 openCR-2.2.4/openCR/man/openCR-package.Rd | 4 openCR-2.2.4/openCR/tests/testthat/test-stratified.R | 20 ++ openCR-2.2.4/openCR/vignettes/openCR-vignette.Rmd | 151 +++++++++-------- 25 files changed, 283 insertions(+), 195 deletions(-)
Title: Develop R Packages using Rust
Description: A framework is provided to develop R packages using 'Rust' <https://www.rust-lang.org/> with
minimal overhead, and more wrappers are easily added. Help is provided to run 'Cargo' <https://doc.rust-lang.org/cargo/> in a manner
consistent with CRAN policies. Rust code can also be embedded directly in an R script. The package is not official, affiliated with,
nor endorsed by the Rust project.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Diff between cargo versions 0.2.6 dated 2022-06-22 and 0.2.15 dated 2022-07-01
cargo-0.2.15/cargo/DESCRIPTION | 7 cargo-0.2.15/cargo/MD5 | 65 +- cargo-0.2.15/cargo/NAMESPACE | 2 cargo-0.2.15/cargo/NEWS | 12 cargo-0.2.15/cargo/R/api_documentation.R |only cargo-0.2.15/cargo/R/install.R | 139 ++--- cargo-0.2.15/cargo/R/internal.R | 98 +-- cargo-0.2.15/cargo/R/new_package.R | 37 - cargo-0.2.15/cargo/R/onLoad.R | 48 - cargo-0.2.15/cargo/R/prebuild.R | 234 +++++---- cargo-0.2.15/cargo/R/run.R | 248 +++++----- cargo-0.2.15/cargo/R/rust_fn.R | 202 ++++---- cargo-0.2.15/cargo/R/shlib.R | 116 ++-- cargo-0.2.15/cargo/inst/doc/Writing_R_Extensions_in_Rust.pdf |binary cargo-0.2.15/cargo/inst/template/DESCRIPTION | 4 cargo-0.2.15/cargo/inst/template/DOTgitignore | 4 cargo-0.2.15/cargo/inst/template/NAMESPACE | 4 cargo-0.2.15/cargo/inst/template/R/onLoad.R | 141 ++--- cargo-0.2.15/cargo/inst/template/R/zero.R | 2 cargo-0.2.15/cargo/inst/template/configure | 78 +++ cargo-0.2.15/cargo/inst/template/configure.win | 2 cargo-0.2.15/cargo/inst/template/src/rust/Cargo.lock | 16 cargo-0.2.15/cargo/inst/template/src/rust/roxido/Cargo.lock | 16 cargo-0.2.15/cargo/inst/template/src/rust/roxido/Cargo.toml | 2 cargo-0.2.15/cargo/inst/template/src/rust/roxido_macro/Cargo.lock | 14 cargo-0.2.15/cargo/inst/template/src/rust/roxido_macro/Cargo.toml | 2 cargo-0.2.15/cargo/inst/template/src/rust/roxido_macro/src/lib.rs | 8 cargo-0.2.15/cargo/inst/template/src/rust/src/lib.rs | 13 cargo-0.2.15/cargo/inst/template/src/rust/vendor.tar.xz |only cargo-0.2.15/cargo/man/api_documentation.Rd |only cargo-0.2.15/cargo/man/prebuild.Rd | 8 cargo-0.2.15/cargo/man/run.Rd | 18 cargo-0.2.15/cargo/man/rust_fn.Rd | 2 cargo-0.2.15/cargo/man/shlib_set.Rd | 5 cargo-0.2.6/cargo/inst/template/src/rust/vendor.tar.gz |only cargo-0.2.6/cargo/inst/template/tools |only 36 files changed, 815 insertions(+), 732 deletions(-)
Title: Qualitative Interaction Trees
Description: Grows a qualitative interaction tree. Quint is a tool for subgroup analysis, suitable for data from a two-arm randomized controlled trial. More information in Dusseldorp, E., Doove, L., & Van Mechelen, I. (2016) <doi:10.3758/s13428-015-0594-z>.
Author: Elise Dusseldorp [aut, cre, cph],
Lisa Doove [aut],
Jeanne van de Put [aut],
Cor Ninaber [ctb] ,
Iven Van Mechelen [aut, cph],
Juan Claramunt Gonzalez [aut]
Maintainer: Elise Dusseldorp <elise.dusseldorp@fsw.leidenuniv.nl>
Diff between quint versions 2.1.0 dated 2020-06-15 and 2.2.2 dated 2022-07-01
DESCRIPTION | 15 MD5 | 28 - NAMESPACE | 2 NEWS | 13 R/determineSplits.R | 17 R/nodeinfo.R | 4 R/plotsupport.R | 2 R/predict.quint.R | 121 +++---- R/quint.R | 3 build/vignette.rds |binary inst/doc/Dusseldorp2016Replication_ED.R |only inst/doc/Dusseldorp2016Replication_ED.Rmd |only inst/doc/Dusseldorp2016Replication_ED.html |only inst/doc/quint.R | 20 - inst/doc/quint.html | 496 +++++++++++++++++++++++------ man/quint.Rd | 3 vignettes/Dusseldorp2016Replication_ED.Rmd |only 17 files changed, 524 insertions(+), 200 deletions(-)
Title: Pre-Commit Hooks
Description: Useful git hooks for R building on top of the multi-language
framework 'pre-commit' for hook management. This package provides git
hooks for common tasks like formatting files with 'styler' or spell
checking as well as wrapper functions to access the 'pre-commit'
executable.
Author: Lorenz Walthert
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>
Diff between precommit versions 0.3.1 dated 2022-06-15 and 0.3.2 dated 2022-07-01
DESCRIPTION | 6 +++--- MD5 | 26 +++++++++++++------------- NEWS.md | 11 +++++++++++ R/config.R | 2 +- R/release.R | 2 +- R/roxygen2.R | 8 +++++++- R/zzz.R | 4 +++- README.md | 2 +- inst/doc/available-hooks.html | 4 ++-- inst/hooks/exported/parsable-R.R | 5 ++++- inst/pre-commit-config-pkg.yaml | 2 +- inst/pre-commit-config-proj.yaml | 2 +- tests/testthat/test-hook-roxygenize.R | 6 +++--- tests/testthat/test-hooks.R | 5 +++-- 14 files changed, 54 insertions(+), 31 deletions(-)
Title: Motif-Based Spectral Clustering of Weighted Directed Networks
Description: Tools for spectral clustering of weighted directed networks using motif
adjacency matrices. Methods perform well on large and sparse networks, and
random sampling methods for generating weighted directed networks are also
provided. Based on methodology detailed in Underwood, Elliott and Cucuringu
(2020) <arXiv:2004.01293>.
Author: William George Underwood [aut, cre]
Maintainer: William George Underwood <wgu2@princeton.edu>
Diff between motifcluster versions 0.2.0 dated 2022-04-29 and 0.2.1 dated 2022-07-01
DESCRIPTION | 11 +-- MD5 | 27 ++++----- NAMESPACE | 4 + NEWS.md | 4 + R/clustering.R | 101 ++++++++++++++++++++++++++++++++++-- R/sampling.R | 6 -- R/spectral.R | 9 +-- R/utils.R | 16 +---- README.md | 5 - build/vignette.rds |binary inst/doc/motifcluster_vignette.R | 46 ++++++++-------- inst/doc/motifcluster_vignette.Rmd | 52 +++++++++--------- inst/doc/motifcluster_vignette.pdf |binary man/kmeanspp.Rd |only vignettes/motifcluster_vignette.Rmd | 52 +++++++++--------- 15 files changed, 215 insertions(+), 118 deletions(-)
Title: Spatial Interpolation by Inverse Path Distance Weighting
Description: Functions are provided to interpolate geo-referenced point data via
Inverse Path Distance Weighting. Useful for coastal marine applications where
barriers in the landscape preclude interpolation with Euclidean distances.
Author: Jemma Stachelek [aut, cre]
Maintainer: Jemma Stachelek <jemma.stachelek@gmail.com>
Diff between ipdw versions 0.2-9 dated 2020-07-22 and 1.0-0 dated 2022-07-01
DESCRIPTION | 23 MD5 | 54 - NAMESPACE | 56 - NEWS.md | 46 R/costrasterGen.R | 197 +-- R/errorGen.R | 116 +- R/ipdw.R | 92 - R/ipdwInterp.R | 304 ++--- R/pathdistGen.R | 216 ++-- README.md | 126 +- build/vignette.rds |binary inst/CITATION | 34 inst/doc/ipdw2.R | 222 ++-- inst/doc/ipdw2.Rmd | 350 +++--- inst/doc/ipdw2.html | 1837 +++++++++++++----------------------- man/costrasterGen.Rd | 113 +- man/errorGen.Rd | 97 - man/ipdw.Rd | 123 +- man/ipdwInterp.Rd | 133 +- man/pathdistGen.Rd | 85 - man/rm_na_pointslayers.Rd | 36 tests/testthat.R | 4 tests/testthat/test-costrasterGen.R | 72 - tests/testthat/test-errorGen.R | 40 tests/testthat/test-ipdwInterp.R | 90 - tests/testthat/test-pathdistGen.R | 14 vignettes/ipdw2.Rmd | 350 +++--- vignettes/ipdw2.bib | 186 +-- 28 files changed, 2259 insertions(+), 2757 deletions(-)
Title: GRS Test for Portfolio Efficiency, Its Statistical Power
Analysis, and Optimal Significance Level Calculation
Description: Computational resources for test proposed by Gibbons, Ross, Shanken (1989)<DOI:10.2307/1913625>.
It also has the functions for the power analysis and the choice of the optimal level of significance.
The optimal level is determined by minimizing the expected loss from hypothesis testing.
Author: Jae H. Kim <jaekim8080@gmail.com>
Maintainer: Jae H. Kim <jaekim8080@gmail.com>
Diff between GRS.test versions 1.1 dated 2017-12-03 and 1.2 dated 2022-07-01
DESCRIPTION | 12 ++++++------ MD5 | 8 ++++---- R/GRS.optimalboot.R | 2 +- R/GRS.optimalbootweight.R | 2 +- build/partial.rdb |binary 5 files changed, 12 insertions(+), 12 deletions(-)
Title: A Probabilistic Approach to Reconstruct Past Climates Using
Palaeoecological Datasets
Description: Applies the CREST climate reconstruction
method. It can be used using the calibration data that can be obtained
through the package or by importing private data. An ensemble of
graphical outputs were designed to facilitate the use of the
package and the interpretation of the results. More information can
be obtained from Chevalier (2022) <doi:10.5194/cp-18-821-2022>.
Author: Manuel Chevalier [aut, cre]
Maintainer: Manuel Chevalier <chevalier.manuel@gmail.com>
Diff between crestr versions 1.0.2 dated 2022-04-25 and 1.1.0 dated 2022-07-01
DESCRIPTION | 8 +++---- MD5 | 37 +++++++++++++++++---------------- NAMESPACE | 1 NEWS.md | 23 +++++++++++++++++++- R/crest.get_modern_data.R | 31 +++++++++++++++++++++++++--- R/crest.set_modern_data.R | 45 +++++++++++++++++++++++++++++++++++++++-- R/dbConnect.R | 26 +++++++++++++++++++++++ R/dbFixedNames.R | 2 - R/dbGetClimateSpace.R | 9 ++++++++ R/dbRequest.R | 6 ++++- README.md | 6 ++++- inst/doc/calibration-data.html | 6 ++--- inst/doc/get-started.html | 6 ++--- inst/doc/technicalities.html | 6 ++--- inst/doc/theory.html | 6 ++--- man/accClimateVariables.Rd | 2 - man/connect_local_sqlite3.Rd |only man/crest.get_modern_data.Rd | 8 ++++++- man/figures/README-plot-1.png |binary man/figures/README-plot-2.png |binary 20 files changed, 182 insertions(+), 46 deletions(-)
Title: Discrete Time Simulation of Mosquito-Borne Pathogen Transmission
Description: Provides a framework based on S3 dispatch for constructing models
of mosquito-borne pathogen transmission which are constructed from submodels of various
components (i.e. immature and adult mosquitoes, human populations). A consistent mathematical
expression for the distribution of bites on hosts means that different models
(stochastic, deterministic, etc.) can be coherently incorporated and updated
over a discrete time step.
Author: Sean L. Wu [aut, cre] ,
David L. Smith [aut] ,
Sophie Libkind [ctb]
Maintainer: Sean L. Wu <slwood89@gmail.com>
Diff between MicroMoB versions 0.0.12 dated 2022-03-17 and 0.1.0 dated 2022-07-01
DESCRIPTION | 10 MD5 | 106 +++++--- NAMESPACE | 17 + NEWS.md | 10 R/ModelObject.R | 16 + R/api_mosquito.R | 4 R/aquatic_trace.R | 3 R/bloodmeal.R | 57 ++++ R/humans_MOI.R | 1 R/humans_SIP.R |only R/humans_SIR.R | 1 R/humans_SIS.R | 1 R/mosquito_RM.R | 105 +++++--- R/mosquito_interface.R | 2 R/observation.R |only build/vignette.rds |binary inst/doc/Advanced.html | 276 ++++++++++++++++++++-- inst/doc/BH_aqua.R | 54 ++-- inst/doc/BH_aqua.Rmd | 54 ++-- inst/doc/BH_aqua.html | 330 ++++++++++++++++++++++---- inst/doc/BQ_mosquito.R | 53 ++-- inst/doc/BQ_mosquito.Rmd | 53 ++-- inst/doc/BQ_mosquito.html | 398 ++++++++++++++++++++++++++----- inst/doc/Contributing.html | 264 +++++++++++++++++++-- inst/doc/MOI_human.R | 30 -- inst/doc/MOI_human.Rmd | 30 -- inst/doc/MOI_human.html | 293 ++++++++++++++++++++--- inst/doc/MicroMoB.html | 314 +++++++++++++++++++++++-- inst/doc/RM_mosquito.R | 60 ++-- inst/doc/RM_mosquito.Rmd | 60 ++-- inst/doc/RM_mosquito.html | 363 +++++++++++++++++++++++----- inst/doc/RM_transmission.R | 117 +++------ inst/doc/RM_transmission.Rmd | 132 ++++------ inst/doc/RM_transmission.html | 426 +++++++++++++++++++++++++--------- inst/doc/bloodmeal.html | 320 +++++++++++++++++++++++-- inst/spp.R |only man/api_config_global.Rd |only man/compute_H.SIP.Rd |only man/compute_Psi.SIP.Rd |only man/compute_bloodmeal_simple.Rd |only man/compute_oviposit.RM_stochastic.Rd | 2 man/compute_oviposit.Rd | 2 man/compute_wf.SIP.Rd |only man/compute_x.SIP.Rd |only man/get_tmax.Rd |only man/get_tnow.Rd |only man/observe_pfpr.Rd |only man/observe_pfpr.SIP.Rd |only man/observe_pfpr.SIS.Rd |only man/setup_aqua_trace.Rd | 3 man/setup_humans_SIP.Rd |only man/setup_mosquito_RM.Rd | 7 man/step_humans.SIP.Rd |only man/step_humans.SIP_deterministic.Rd |only man/step_humans.SIP_stochastic.Rd |only tests/testthat/test-ModelObject.R | 3 tests/testthat/test-bloodmeal.R | 48 +++ tests/testthat/test-humans_SIP.R |only tests/testthat/test-observation.R |only vignettes/BH_aqua.Rmd | 54 ++-- vignettes/BQ_mosquito.Rmd | 53 ++-- vignettes/MOI_human.Rmd | 30 -- vignettes/RM_mosquito.Rmd | 60 ++-- vignettes/RM_transmission.Rmd | 132 ++++------ 64 files changed, 3305 insertions(+), 1049 deletions(-)
Title: Data Sets Useful for Modeling Examples
Description: Data sets used for demonstrating or testing model-related
packages are contained in this package.
Author: Max Kuhn [aut, cre],
RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>
Diff between modeldata versions 0.1.1 dated 2021-07-14 and 1.0.0 dated 2022-07-01
modeldata-0.1.1/modeldata/R/okc.R |only modeldata-0.1.1/modeldata/data/okc.RData |only modeldata-0.1.1/modeldata/data/okc_text.rda |only modeldata-0.1.1/modeldata/man/okc.Rd |only modeldata-1.0.0/modeldata/DESCRIPTION | 33 +++--- modeldata-1.0.0/modeldata/MD5 | 106 ++++++++++---------- modeldata-1.0.0/modeldata/NAMESPACE | 5 modeldata-1.0.0/modeldata/NEWS.md | 6 + modeldata-1.0.0/modeldata/R/Smithsonian.R | 3 modeldata-1.0.0/modeldata/R/ames.R | 5 modeldata-1.0.0/modeldata/R/biomass.R | 1 modeldata-1.0.0/modeldata/R/bivariate.R | 3 modeldata-1.0.0/modeldata/R/car_prices.R | 5 modeldata-1.0.0/modeldata/R/cells.R | 4 modeldata-1.0.0/modeldata/R/check_times.R | 1 modeldata-1.0.0/modeldata/R/churn.R | 6 - modeldata-1.0.0/modeldata/R/concrete.R | 3 modeldata-1.0.0/modeldata/R/credit_data.R | 1 modeldata-1.0.0/modeldata/R/crickets.R | 4 modeldata-1.0.0/modeldata/R/fine_foods.R | 3 modeldata-1.0.0/modeldata/R/grants.R | 7 + modeldata-1.0.0/modeldata/R/hpc_cv.R | 2 modeldata-1.0.0/modeldata/R/hpc_data.R | 2 modeldata-1.0.0/modeldata/R/meats.R | 2 modeldata-1.0.0/modeldata/R/modeldata-package.R |only modeldata-1.0.0/modeldata/R/oils.R | 3 modeldata-1.0.0/modeldata/R/parabolic.R | 5 modeldata-1.0.0/modeldata/R/pathology.R | 1 modeldata-1.0.0/modeldata/R/penguins.R | 3 modeldata-1.0.0/modeldata/R/reexports.R |only modeldata-1.0.0/modeldata/R/sacremento.R | 2 modeldata-1.0.0/modeldata/R/scat.R | 3 modeldata-1.0.0/modeldata/R/simulations.R |only modeldata-1.0.0/modeldata/R/stackoverflow.R | 1 modeldata-1.0.0/modeldata/README.md | 7 - modeldata-1.0.0/modeldata/build/partial.rdb |binary modeldata-1.0.0/modeldata/data/datalist | 2 modeldata-1.0.0/modeldata/man/Sacramento.Rd | 2 modeldata-1.0.0/modeldata/man/Smithsonian.Rd | 2 modeldata-1.0.0/modeldata/man/ames.Rd | 8 + modeldata-1.0.0/modeldata/man/bivariate.Rd | 3 modeldata-1.0.0/modeldata/man/car_prices.Rd | 6 - modeldata-1.0.0/modeldata/man/cells.Rd | 4 modeldata-1.0.0/modeldata/man/concrete.Rd | 2 modeldata-1.0.0/modeldata/man/crickets.Rd | 4 modeldata-1.0.0/modeldata/man/grants.Rd | 8 + modeldata-1.0.0/modeldata/man/hpc_data.Rd | 1 modeldata-1.0.0/modeldata/man/meats.Rd | 1 modeldata-1.0.0/modeldata/man/mlc_churn.Rd | 4 modeldata-1.0.0/modeldata/man/modeldata-package.Rd |only modeldata-1.0.0/modeldata/man/oils.Rd | 4 modeldata-1.0.0/modeldata/man/parabolic.Rd | 2 modeldata-1.0.0/modeldata/man/penguins.Rd | 4 modeldata-1.0.0/modeldata/man/reexports.Rd |only modeldata-1.0.0/modeldata/man/scat.Rd | 4 modeldata-1.0.0/modeldata/man/sim_classification.Rd |only modeldata-1.0.0/modeldata/man/small_fine_foods.Rd | 1 modeldata-1.0.0/modeldata/man/stackoverflow.Rd | 1 modeldata-1.0.0/modeldata/tests |only 59 files changed, 182 insertions(+), 108 deletions(-)
Title: Basic Routing for Shiny Web Applications
Description: It is a simple router for your Shiny apps.
The router allows you to create dynamic web applications with real-time
User Interface and easily share url to pages within your Shiny apps.
Author: Filip Stachura [aut],
Dominik Krzemiński [aut],
Krystian Igras [aut],
Developers Appsilon [cre, aut],
Servet Ahmet Cizmeli [ctb],
Appsilon [cph]
Maintainer: Developers Appsilon <support+opensource@appsilon.com>
Diff between shiny.router versions 0.2.2 dated 2021-01-20 and 0.2.3 dated 2022-07-01
DESCRIPTION | 23 ++++++++++++++--------- MD5 | 10 +++++----- R/pages.R | 6 +++--- R/router.R | 3 +++ R/zzz.R | 8 ++++++-- README.md | 6 +++--- 6 files changed, 34 insertions(+), 22 deletions(-)
Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an
extensible framework for pipeable sequences of feature engineering
steps provides preprocessing tools to be applied to data. Statistical
parameters for the steps can be estimated from an initial data set and
then applied to other data sets. The resulting processed output can
then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre],
Hadley Wickham [aut],
RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Diff between recipes versions 0.2.0 dated 2022-02-18 and 1.0.0 dated 2022-07-01
recipes-0.2.0/recipes/R/downsample.R |only recipes-0.2.0/recipes/R/upsample.R |only recipes-0.2.0/recipes/man/step_downsample.Rd |only recipes-0.2.0/recipes/man/step_upsample.Rd |only recipes-0.2.0/recipes/tests/testthat/_snaps/R4.1 |only recipes-1.0.0/recipes/DESCRIPTION | 28 recipes-1.0.0/recipes/MD5 | 879 +++++----- recipes-1.0.0/recipes/NAMESPACE | 27 recipes-1.0.0/recipes/NEWS.md | 72 recipes-1.0.0/recipes/R/0_imports.R | 4 recipes-1.0.0/recipes/R/BoxCox.R | 50 recipes-1.0.0/recipes/R/YeoJohnson.R | 79 recipes-1.0.0/recipes/R/arrange.R | 28 recipes-1.0.0/recipes/R/bin2factor.R | 30 recipes-1.0.0/recipes/R/bs.R | 22 recipes-1.0.0/recipes/R/case_weights.R |only recipes-1.0.0/recipes/R/center.R | 65 recipes-1.0.0/recipes/R/class.R | 40 recipes-1.0.0/recipes/R/classdist.R | 118 - recipes-1.0.0/recipes/R/colcheck.R | 44 recipes-1.0.0/recipes/R/corr.R | 62 recipes-1.0.0/recipes/R/count.R | 56 recipes-1.0.0/recipes/R/cut.R | 59 recipes-1.0.0/recipes/R/date.R | 144 - recipes-1.0.0/recipes/R/depth.R | 35 recipes-1.0.0/recipes/R/discretize.R | 151 + recipes-1.0.0/recipes/R/dummy.R | 94 - recipes-1.0.0/recipes/R/dummy_multi_choice.R | 69 recipes-1.0.0/recipes/R/extract.R | 74 recipes-1.0.0/recipes/R/extract_parameter.R | 2 recipes-1.0.0/recipes/R/factor2string.R | 60 recipes-1.0.0/recipes/R/filter.R | 23 recipes-1.0.0/recipes/R/filter_missing.R | 57 recipes-1.0.0/recipes/R/formula.R | 13 recipes-1.0.0/recipes/R/geodist.R | 94 - recipes-1.0.0/recipes/R/harmonic.R | 168 + recipes-1.0.0/recipes/R/helper.R |only recipes-1.0.0/recipes/R/holiday.R | 80 recipes-1.0.0/recipes/R/hyperbolic.R | 40 recipes-1.0.0/recipes/R/ica.R | 25 recipes-1.0.0/recipes/R/impute_bag.R | 70 recipes-1.0.0/recipes/R/impute_knn.R | 60 recipes-1.0.0/recipes/R/impute_linear.R | 76 recipes-1.0.0/recipes/R/impute_lower.R | 50 recipes-1.0.0/recipes/R/impute_mean.R | 79 recipes-1.0.0/recipes/R/impute_median.R | 52 recipes-1.0.0/recipes/R/impute_mode.R | 50 recipes-1.0.0/recipes/R/impute_roll.R | 43 recipes-1.0.0/recipes/R/integer.R | 37 recipes-1.0.0/recipes/R/interactions.R | 68 recipes-1.0.0/recipes/R/intercept.R | 27 recipes-1.0.0/recipes/R/inverse.R | 38 recipes-1.0.0/recipes/R/invlogit.R | 52 recipes-1.0.0/recipes/R/isomap.R | 57 recipes-1.0.0/recipes/R/kpca.R | 36 recipes-1.0.0/recipes/R/kpca_poly.R | 27 recipes-1.0.0/recipes/R/kpca_rbf.R | 26 recipes-1.0.0/recipes/R/lag.R | 24 recipes-1.0.0/recipes/R/lincombo.R | 119 - recipes-1.0.0/recipes/R/log.R | 40 recipes-1.0.0/recipes/R/logit.R | 35 recipes-1.0.0/recipes/R/misc.R | 246 +- recipes-1.0.0/recipes/R/missing.r | 58 recipes-1.0.0/recipes/R/mutate.R | 22 recipes-1.0.0/recipes/R/mutate_at.R | 26 recipes-1.0.0/recipes/R/naindicate.R | 24 recipes-1.0.0/recipes/R/naomit.R | 7 recipes-1.0.0/recipes/R/newvalues.R | 64 recipes-1.0.0/recipes/R/nnmf.R | 35 recipes-1.0.0/recipes/R/nnmf_sparse.R | 67 recipes-1.0.0/recipes/R/normalize.R | 104 - recipes-1.0.0/recipes/R/novel.R | 68 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recipes-1.0.0/recipes/tests/testthat/_snaps/tidy.md |only recipes-1.0.0/recipes/tests/testthat/_snaps/time.md |only recipes-1.0.0/recipes/tests/testthat/_snaps/unknown.md | 65 recipes-1.0.0/recipes/tests/testthat/_snaps/unorder.md | 76 recipes-1.0.0/recipes/tests/testthat/_snaps/update-role-requirements.md |only recipes-1.0.0/recipes/tests/testthat/_snaps/update.md |only recipes-1.0.0/recipes/tests/testthat/_snaps/zv.md | 36 recipes-1.0.0/recipes/tests/testthat/helper-case-weights.R |only recipes-1.0.0/recipes/tests/testthat/helpers.R | 1 recipes-1.0.0/recipes/tests/testthat/test-case-weight-functions.R |only recipes-1.0.0/recipes/tests/testthat/test-dummy_multi_choice.R | 45 recipes-1.0.0/recipes/tests/testthat/test-extract.R | 26 recipes-1.0.0/recipes/tests/testthat/test-format.R | 19 recipes-1.0.0/recipes/tests/testthat/test-misc.R |only recipes-1.0.0/recipes/tests/testthat/test-prepper.R | 13 recipes-1.0.0/recipes/tests/testthat/test-select.R | 25 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recipes-1.0.0/recipes/tests/testthat/test_column_order.R | 39 recipes-1.0.0/recipes/tests/testthat/test_corr.R | 101 - recipes-1.0.0/recipes/tests/testthat/test_count.R | 59 recipes-1.0.0/recipes/tests/testthat/test_cut.R | 206 +- recipes-1.0.0/recipes/tests/testthat/test_data.frame.R | 41 recipes-1.0.0/recipes/tests/testthat/test_date.R | 104 - recipes-1.0.0/recipes/tests/testthat/test_depth.R | 76 recipes-1.0.0/recipes/tests/testthat/test_discretized.R | 94 - recipes-1.0.0/recipes/tests/testthat/test_dummies.R | 309 +-- recipes-1.0.0/recipes/tests/testthat/test_dummies_extract.R | 148 + recipes-1.0.0/recipes/tests/testthat/test_factors2strings.R | 28 recipes-1.0.0/recipes/tests/testthat/test_filter.R | 27 recipes-1.0.0/recipes/tests/testthat/test_filter_missing.R | 60 recipes-1.0.0/recipes/tests/testthat/test_formula.R | 21 recipes-1.0.0/recipes/tests/testthat/test_geodist.R | 226 +- recipes-1.0.0/recipes/tests/testthat/test_grouped_df.R | 3 recipes-1.0.0/recipes/tests/testthat/test_harmonic.R | 436 ++-- recipes-1.0.0/recipes/tests/testthat/test_holiday.R | 145 + recipes-1.0.0/recipes/tests/testthat/test_hyperbolic.R | 87 recipes-1.0.0/recipes/tests/testthat/test_ica.R | 97 - recipes-1.0.0/recipes/tests/testthat/test_impute_bag.R | 108 - recipes-1.0.0/recipes/tests/testthat/test_impute_knn.R | 143 - recipes-1.0.0/recipes/tests/testthat/test_impute_linear.R | 100 - recipes-1.0.0/recipes/tests/testthat/test_impute_lower.R | 42 recipes-1.0.0/recipes/tests/testthat/test_impute_mean.R | 171 + recipes-1.0.0/recipes/tests/testthat/test_impute_median.R | 109 - recipes-1.0.0/recipes/tests/testthat/test_impute_mode.R | 131 + recipes-1.0.0/recipes/tests/testthat/test_impute_roll.R | 53 recipes-1.0.0/recipes/tests/testthat/test_integer.R | 53 recipes-1.0.0/recipes/tests/testthat/test_interact.R | 115 - recipes-1.0.0/recipes/tests/testthat/test_intercept.R | 47 recipes-1.0.0/recipes/tests/testthat/test_inverse.R | 40 recipes-1.0.0/recipes/tests/testthat/test_invlogit.R | 26 recipes-1.0.0/recipes/tests/testthat/test_isomap.R | 98 - recipes-1.0.0/recipes/tests/testthat/test_kpca.R | 53 recipes-1.0.0/recipes/tests/testthat/test_kpca_poly.R | 60 recipes-1.0.0/recipes/tests/testthat/test_kpca_rbf.R | 55 recipes-1.0.0/recipes/tests/testthat/test_lag.R | 68 recipes-1.0.0/recipes/tests/testthat/test_lincomb.R | 50 recipes-1.0.0/recipes/tests/testthat/test_list_cols.R | 6 recipes-1.0.0/recipes/tests/testthat/test_log.R | 41 recipes-1.0.0/recipes/tests/testthat/test_logit.R | 35 recipes-1.0.0/recipes/tests/testthat/test_matrix.R | 62 recipes-1.0.0/recipes/tests/testthat/test_missing.R | 45 recipes-1.0.0/recipes/tests/testthat/test_multivariate.R | 16 recipes-1.0.0/recipes/tests/testthat/test_mutate.R | 31 recipes-1.0.0/recipes/tests/testthat/test_naindicate.R | 36 recipes-1.0.0/recipes/tests/testthat/test_naomit.R | 7 recipes-1.0.0/recipes/tests/testthat/test_newvalues.R | 79 recipes-1.0.0/recipes/tests/testthat/test_nomial_types.R | 117 - recipes-1.0.0/recipes/tests/testthat/test_novel.R | 40 recipes-1.0.0/recipes/tests/testthat/test_ns.R | 39 recipes-1.0.0/recipes/tests/testthat/test_num2factor.R | 36 recipes-1.0.0/recipes/tests/testthat/test_nzv.R | 134 + recipes-1.0.0/recipes/tests/testthat/test_ordinalscore.R | 62 recipes-1.0.0/recipes/tests/testthat/test_other.R | 386 ++-- recipes-1.0.0/recipes/tests/testthat/test_pca.R | 183 +- recipes-1.0.0/recipes/tests/testthat/test_percentile.R | 130 + recipes-1.0.0/recipes/tests/testthat/test_pls_new.R | 171 + recipes-1.0.0/recipes/tests/testthat/test_pls_new.RData |binary recipes-1.0.0/recipes/tests/testthat/test_pls_old.R | 12 recipes-1.0.0/recipes/tests/testthat/test_poly.R | 61 recipes-1.0.0/recipes/tests/testthat/test_profile.R | 184 +- recipes-1.0.0/recipes/tests/testthat/test_range.R | 66 recipes-1.0.0/recipes/tests/testthat/test_range_check.R | 65 recipes-1.0.0/recipes/tests/testthat/test_ratio.R | 113 - recipes-1.0.0/recipes/tests/testthat/test_regex.R | 53 recipes-1.0.0/recipes/tests/testthat/test_relevel.R | 48 recipes-1.0.0/recipes/tests/testthat/test_relu.R | 78 recipes-1.0.0/recipes/tests/testthat/test_rename.R | 30 recipes-1.0.0/recipes/tests/testthat/test_retraining.R | 13 recipes-1.0.0/recipes/tests/testthat/test_rm.R | 16 recipes-1.0.0/recipes/tests/testthat/test_roles.R | 339 ++- recipes-1.0.0/recipes/tests/testthat/test_roll.R | 99 - recipes-1.0.0/recipes/tests/testthat/test_sample.R | 81 recipes-1.0.0/recipes/tests/testthat/test_shuffle.R | 47 recipes-1.0.0/recipes/tests/testthat/test_skipping.R | 44 recipes-1.0.0/recipes/tests/testthat/test_slice.R | 20 recipes-1.0.0/recipes/tests/testthat/test_sparsity.R | 69 recipes-1.0.0/recipes/tests/testthat/test_spatialsign.R | 96 - recipes-1.0.0/recipes/tests/testthat/test_sqrt.R | 40 recipes-1.0.0/recipes/tests/testthat/test_string2factor.R | 26 recipes-1.0.0/recipes/tests/testthat/test_stringsAsFactors.R | 28 recipes-1.0.0/recipes/tests/testthat/test_term_info.R | 173 - recipes-1.0.0/recipes/tests/testthat/test_tidy.R | 82 recipes-1.0.0/recipes/tests/testthat/test_unknown.R | 105 - recipes-1.0.0/recipes/tests/testthat/test_unorder.R | 35 recipes-1.0.0/recipes/tests/testthat/test_zv.R | 51 recipes-1.0.0/recipes/vignettes/Roles.Rmd | 3 recipes-1.0.0/recipes/vignettes/Selecting_Variables.Rmd | 3 recipes-1.0.0/recipes/vignettes/recipes.Rmd | 3 462 files changed, 18099 insertions(+), 6794 deletions(-)
Title: R Interface to PXWEB APIs
Description: Generic interface for the PX-Web/PC-Axis API. The
PX-Web/PC-Axis API is used by organizations such as Statistics Sweden
and Statistics Finland to disseminate data. The R package can interact
with all PX-Web/PC-Axis APIs to fetch information about the data
hierarchy, extract metadata and extract and parse statistics to R
data.frame format. PX-Web is a solution to disseminate PC-Axis data
files in dynamic tables on the web. Since 2013 PX-Web contains an API
to disseminate PC-Axis files.
Author: Mans Magnusson [aut, cre] ,
Markus Kainu [aut],
Janne Huovari [aut],
Leo Lahti [aut] ,
Love Hansson [ctb],
Eydun Nielsen [ctb],
Bo Werth [ctb],
Thomas Runarsson [ctb],
Torbjoern Lindquist [ctb],
Palmar Thorsteinsson [ctb],
Pyry Kantanen [ctb],
Sebasti [...truncated...]
Maintainer: Mans Magnusson <mons.magnusson@gmail.com>
Diff between pxweb versions 0.13.1 dated 2022-03-11 and 0.15.1 dated 2022-07-01
DESCRIPTION | 12 MD5 | 38 +- NAMESPACE | 2 NEWS.md | 11 R/pxweb_c.R | 11 R/pxweb_interactive.R | 2 R/pxweb_parse_response.R | 10 R/pxweb_query.R | 45 ++- build/vignette.rds |binary inst/doc/pxweb.R | 6 inst/doc/pxweb.Rmd | 71 ++-- inst/doc/pxweb.html | 390 ++++++++++++++++---------- inst/extdata/api.json | 22 + man/pxweb_query.Rd | 8 man/pxweb_query_as_json.Rd | 3 man/pxweb_query_as_rcode.Rd | 9 tests/testthat/log_pxweb_api_http_calls.txt | 134 +++++--- tests/testthat/test-pxweb_get.R | 32 ++ tests/testthat/test_data/test_query_px.json |only tests/testthat/test_data/test_query_sdmx.json |only vignettes/pxweb.Rmd | 71 ++-- 21 files changed, 566 insertions(+), 311 deletions(-)
Title: Parameter Estimation, and Plot Visualization of Adsorption
Kinetic Models
Description: Contains model fitting functions for linear and non-linear adsorption kinetic and diffusion models. Adsorption kinetics is used for characterizing the rate of solute adsorption and the time necessary for the adsorption process. Adsorption kinetics offers vital information on adsorption rate, adsorbent performance in response time, and mass transfer processes. In addition, diffusion models are included in the package as solute diffusion affects the adsorption kinetic experiments. This package consists of 20 adsorption and diffusion models, including Pseudo First Order (PFO), Pseudo Second Order (PSO), Elovich, and Weber-Morris model (commonly called the intraparticle model) stated by Plazinski et al. (2009) <doi:10.1016/j.cis.2009.07.009>. This package also contains a summary function where the statistical errors of each model are ranked for a more straightforward determination of the best fit model.
Author: Jeff Ryan Magalong [aut] ,
Joshua DelaCruz [aut] ,
Jeann Bumatay [aut] ,
Chester Deocaris [aut, ths, cre]
Maintainer: Chester Deocaris <ccdeocaris@pup.edu.ph>
Diff between PUPAK versions 0.1.0 dated 2022-06-01 and 0.1.1 dated 2022-07-01
DESCRIPTION | 6 - MD5 | 26 +++--- R/aksummary.l.R | 15 ++- R/aksummary.nl.R | 66 ++++++++------- R/avrami.R | 15 ++- R/bed.lm.R | 15 ++- R/bid.lm.r | 18 +++- R/idsummary.R | 25 +++-- R/pfo.lm.r | 231 ++++++++++++++++++++++++++++++++++++++----------------- R/wam.pl.R | 4 man/avrami.Rd | 2 man/bed.lm.Rd | 4 man/idsummary.Rd | 2 man/pfo.lm.Rd | 10 +- 14 files changed, 285 insertions(+), 154 deletions(-)
Title: Fair Data Adaptation with Quantile Preservation
Description: An implementation of the fair data adaptation with quantile
preservation described in Plecko & Meinshausen (2019) <arXiv:1911.06685>.
The adaptation procedure uses the specified causal graph to pre-process the
given training and testing data in such a way to remove the bias caused by
the protected attribute. The procedure uses tree ensembles for quantile
regression.
Author: Drago Plecko [aut, cre],
Nicolas Bennett [aut]
Maintainer: Drago Plecko <drago.plecko@stat.math.ethz.ch>
Diff between fairadapt versions 0.2.3 dated 2022-06-22 and 0.2.4 dated 2022-07-01
DESCRIPTION | 6 ++-- MD5 | 15 +++++----- inst/doc/jss.R | 8 ++--- inst/doc/jss.Rmd | 60 ++++++++++++++++++++-------------------- inst/doc/jss.pdf |binary inst/extdata/bm_quant.rds |binary vignettes/jss.Rmd | 60 ++++++++++++++++++++-------------------- vignettes/jss.bib | 17 ++++++----- vignettes/tmp-pdfcrop-11092.tex |only 9 files changed, 84 insertions(+), 82 deletions(-)
Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct
full and abridge life tables given various input indices. A mortality
law is a parametric function that describes the dying-out process of
individuals in a population during a significant portion of their
life spans. For a comprehensive review of the most important mortality
laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>.
Practical functions for downloading data from various human mortality
databases are provided as well.
Author: Marius D. Pascariu [aut, cre, cph]
,
Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>
Diff between MortalityLaws versions 1.9.3 dated 2022-02-04 and 1.9.4 dated 2022-07-01
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- R/availableHMD.R | 9 ++++----- R/readHMD.R | 12 ++++++++---- build/partial.rdb |binary inst/doc/Installation.pdf |binary inst/doc/Intro.pdf |binary man/MortalityLaws.Rd | 9 +-------- man/ReadHMD.Rd | 5 +++++ man/availableHMD.Rd | 4 ++-- 10 files changed, 33 insertions(+), 32 deletions(-)
Title: Routines for Performing Empirical Calibration of Observational
Study Estimates
Description: Routines for performing empirical calibration of observational
study estimates. By using a set of negative control hypotheses we can
estimate the empirical null distribution of a particular observational
study setup. This empirical null distribution can be used to compute a
calibrated p-value, which reflects the probability of observing an
estimated effect size when the null hypothesis is true taking both random
and systematic error into account. A similar approach can be used to
calibrate confidence intervals, using both negative and positive controls.
For more details, see Schuemie et al. (2013) <doi:10.1002/sim.5925> and
Schuemie et al. (2018) <doi:10.1073/pnas.1708282114>.
Author: Martijn Schuemie [aut, cre] ,
Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Diff between EmpiricalCalibration versions 3.0.0 dated 2021-09-28 and 3.1.0 dated 2022-07-01
EmpiricalCalibration-3.0.0/EmpiricalCalibration/vignettes/allLlrs.rds |only EmpiricalCalibration-3.0.0/EmpiricalCalibration/vignettes/cvs.rds |only EmpiricalCalibration-3.1.0/EmpiricalCalibration/DESCRIPTION | 10 EmpiricalCalibration-3.1.0/EmpiricalCalibration/MD5 | 124 - EmpiricalCalibration-3.1.0/EmpiricalCalibration/NAMESPACE | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/NEWS.md | 20 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/ConfidenceIntervalCalibration.R | 253 +- EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/Data.R | 84 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/EmpiricalCalibration.R | 8 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/EmpiricalCalibrationUsingAsymptotics.R | 50 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/EmpiricalCalibrationUsingMcmc.R | 48 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/Evaluation.R | 98 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/ExpectedSystematicError.R | 131 + EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/Likelihoods.R | 60 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/LlrCalibration.R | 93 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/MaxSprtCriticalValues.R | 190 + EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/Plots.R | 1078 +++++----- EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/RcppExports.R | 12 EmpiricalCalibration-3.1.0/EmpiricalCalibration/R/Simulation.R | 51 EmpiricalCalibration-3.1.0/EmpiricalCalibration/README.md | 14 EmpiricalCalibration-3.1.0/EmpiricalCalibration/build/partial.rdb |only EmpiricalCalibration-3.1.0/EmpiricalCalibration/build/vignette.rds |binary EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalCiCalibrationVignette.R | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalCiCalibrationVignette.Rmd | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalCiCalibrationVignette.pdf |binary EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalMaxSprtCalibrationVignette.R | 222 +- EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalMaxSprtCalibrationVignette.Rmd | 248 +- EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalMaxSprtCalibrationVignette.pdf |binary EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalPCalibrationVignette.R | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalPCalibrationVignette.Rmd | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/inst/doc/EmpiricalPCalibrationVignette.pdf |binary EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/EmpiricalCalibration-package.Rd | 11 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/compareEase.Rd |only EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/computeCvBinomial.Rd | 16 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/computeCvPoisson.Rd | 14 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/computeCvPoissonRegression.Rd |only EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/computeExpectedAbsoluteSystematicError.Rd | 10 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/convertNullToErrorModel.Rd | 8 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/evaluateCiCalibration.Rd | 4 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/fitSystematicErrorModel.Rd | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/grahamReplication.Rd | 44 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/plotCalibrationEffect.Rd | 12 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/plotCiCalibration.Rd | 4 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/plotCiCalibrationEffect.Rd | 4 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/plotCiCoverage.Rd | 8 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/plotErrorModel.Rd | 6 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/plotExpectedType1Error.Rd | 6 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/simulateMaxSprtData.Rd | 8 EmpiricalCalibration-3.1.0/EmpiricalCalibration/man/southworthReplication.Rd | 26 EmpiricalCalibration-3.1.0/EmpiricalCalibration/src/RcppExports.cpp | 35 EmpiricalCalibration-3.1.0/EmpiricalCalibration/src/RcppWrapper.cpp | 48 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-EmpiricalCalibrationUsingAsymptotics.R | 120 - EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-LlrCalibration.R | 44 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-asymptoticNull.R | 26 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-confidenceIntervalCalibration.R | 29 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-critical-values.R | 74 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-empiricalCalibrationUsingMcmc.R | 63 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-evaluation.R | 33 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-expected-systematic-error.R | 16 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-likelihoods.R | 37 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-plots.R | 95 EmpiricalCalibration-3.1.0/EmpiricalCalibration/tests/testthat/test-simulation.R | 6 EmpiricalCalibration-3.1.0/EmpiricalCalibration/vignettes/EmpiricalCiCalibrationVignette.Rmd | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/vignettes/EmpiricalMaxSprtCalibrationVignette.Rmd | 248 +- EmpiricalCalibration-3.1.0/EmpiricalCalibration/vignettes/EmpiricalPCalibrationVignette.Rmd | 2 EmpiricalCalibration-3.1.0/EmpiricalCalibration/vignettes/allCvsAndLlrs.rds |only 66 files changed, 2273 insertions(+), 1592 deletions(-)
More information about EmpiricalCalibration at CRAN
Permanent link
Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the
NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation
of in-memory image objects between compiled C and interpreted R code. Also
provides a simple image viewer, and a C/C++ API that can be used by other
packages. Not to be confused with 'RNiftyReg', which performs image
registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] ,
Bob Cox [aut],
Mark Jenkinson [aut],
Matt Hall [ctb],
Rick Reynolds [ctb],
Kate Fissell [ctb],
Jean-loup Gailly [cph],
Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>
Diff between RNifti versions 1.4.0 dated 2022-02-14 and 1.4.1 dated 2022-07-01
DESCRIPTION | 8 - MD5 | 214 +++++++++++++++++++++++++++++++++-- NEWS | 11 + README.md | 40 +++--- cleanup | 2 cleanup.win | 2 configure | 2 configure.ac | 2 inst/doxygen |only tools/figures/unnamed-chunk-12-1.png |binary tools/figures/unnamed-chunk-15-1.png |binary tools/figures/unnamed-chunk-5-1.png |binary 12 files changed, 243 insertions(+), 38 deletions(-)
Title: 'NoSQL' Database Connector
Description: Simplified document database access and manipulation,
providing a common API across supported 'NoSQL' databases
'Elasticsearch', 'CouchDB', 'MongoDB' as well as
'SQLite/JSON1' and 'PostgreSQL'.
Author: Ralf Herold [aut, cre] ,
Scott Chamberlain [aut] ,
Rich FitzJohn [aut],
Jeroen Ooms [aut]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>
Diff between nodbi versions 0.8.0 dated 2022-06-12 and 0.8.1 dated 2022-07-01
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 6 ++++++ R/create.R | 16 ++++++++-------- R/update.R | 20 ++++++++++---------- 5 files changed, 31 insertions(+), 25 deletions(-)
Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov
chains more easily. In addition functions to perform statistical (fitting
and drawing random variates) and probabilistic (analysis of their structural
proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>.
Author: Giorgio Alfredo Spedicato [aut, cre]
,
Tae Seung Kang [aut],
Sai Bhargav Yalamanchi [aut],
Mildenberger Thoralf [ctb] ,
Deepak Yadav [aut],
Ignacio Cordon [aut] ,
Vandit Jain [ctb],
Toni Giorgino [ctb] ,
Richel J.C. Bilderbeek [ctb] ,
Daniel Ebbert [ [...truncated...]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>
Diff between markovchain versions 0.8.9 dated 2022-05-25 and 0.9.0 dated 2022-07-01
ChangeLog | 2 + DESCRIPTION | 8 ++-- MD5 | 36 ++++++++++---------- NEWS | 4 +- R/sysdata.rda |binary build/vignette.rds |binary data/blanden.rda |binary data/craigsendi.rda |binary data/holson.rda |binary data/kullback.rda |binary data/preproglucacon.rda |binary data/rain.rda |binary data/sales.rda |binary data/tm_abs.rda |binary inst/doc/an_introduction_to_markovchain_package.pdf |binary inst/doc/gsoc_2017_additions.pdf |binary inst/doc/higher_order_markov_chains.pdf |binary src/probabilistic.cpp | 17 +-------- src/utils.cpp | 2 - 19 files changed, 29 insertions(+), 40 deletions(-)
Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> and Evan Sergeant <evansergeant@gmail.com> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>
Diff between epiR versions 2.0.48 dated 2022-05-25 and 2.0.50 dated 2022-07-01
DESCRIPTION | 11 MD5 | 24 NEWS | 20 R/epi.herdtest.R | 30 R/epi.tests.R | 136 +-- build/vignette.rds |binary inst/doc/epiR_descriptive.html | 871 +++++++++++-------- inst/doc/epiR_measures_of_association.html | 1270 ++++++++++++++++------------- inst/doc/epiR_sample_size.html | 346 +++++-- inst/doc/epiR_surveillance.html | 1092 ++++++++++++++++-------- man/epi.herdtest.Rd | 23 man/epi.tests.Rd | 57 - man/rsu.sssep.rspool.Rd | 8 13 files changed, 2362 insertions(+), 1526 deletions(-)
Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical
objects in tidy tibbles. This makes it easy to report results, create
plots and consistently work with large numbers of models at once.
Broom provides three verbs that each provide different types of
information about a model. tidy() summarizes information about model
components such as coefficients of a regression. glance() reports
information about an entire model, such as goodness of fit measures
like AIC and BIC. augment() adds information about individual
observations to a dataset, such as fitted values or influence
measures.
Author: David Robinson [aut],
Alex Hayes [aut] ,
Simon Couch [aut, cre] ,
RStudio [cph, fnd],
Indrajeet Patil [ctb] ,
Derek Chiu [ctb],
Matthieu Gomez [ctb],
Boris Demeshev [ctb],
Dieter Menne [ctb],
Benjamin Nutter [ctb],
Luke Johnston [ctb],
Ben Bolker [ct [...truncated...]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>
Diff between broom versions 0.8.0 dated 2022-04-13 and 1.0.0 dated 2022-07-01
DESCRIPTION | 18 - MD5 | 672 +++++++++++++++++++------------------- NAMESPACE | 1 NEWS.md | 39 ++ R/aer-tidiers.R | 9 R/auc-tidiers.R | 8 R/bbmle-tidiers.R | 10 R/betareg-tidiers.R | 9 R/biglm-tidiers.R | 8 R/bingroup-tidiers.R | 14 R/boot-tidiers.R | 43 +- R/broom-package.R | 4 R/btergm-tidiers.R | 10 R/car-tidiers.R | 13 R/caret-tidiers.R | 8 R/cluster-tidiers.R | 13 R/cmprsk-tidiers.R | 8 R/drc-tidiers.R | 10 R/emmeans-tidiers.R | 16 R/epiR-tidiers.R | 8 R/ergm-tidiers.R | 8 R/fixest-tidiers.R | 10 R/gam-tidiers.R | 8 R/geepack-tidiers.R | 8 R/glmnet-cv-glmnet-tidiers.R | 8 R/glmnet-glmnet-tidiers.R | 8 R/gmm-tidiers.R | 8 R/hmisc-tidiers.R | 8 R/joinerml-tidiers.R | 11 R/kendall-tidiers.R | 8 R/ks-tidiers.R | 8 R/lavaan-tidiers.R | 18 - R/leaps-tidiers.R | 8 R/lfe-tidiers.R | 14 R/list-svd-tidiers.R | 8 R/list-tidiers.R | 2 R/list-xyz-tidiers.R | 4 R/lm-beta-tidiers.R | 10 R/lmodel2-tidiers.R | 8 R/lmtest-tidiers.R | 10 R/maps-tidiers.R | 8 R/margins-tidiers.R | 9 R/mass-fitdistr-tidiers.R | 8 R/mass-negbin-tidiers.R | 8 R/mass-polr-tidiers.R | 8 R/mass-ridgelm-tidiers.R | 8 R/mass-rlm-tidiers.R | 9 R/mclust-tidiers.R | 9 R/mediation-tidiers.R | 11 R/metafor-tidiers.R | 23 - R/mfx-tidiers.R | 17 R/mgcv-tidiers.R | 8 R/mlogit-tidiers.R | 10 R/muhaz-tidiers.R | 10 R/multcomp-tidiers.R | 21 - R/nnet-tidiers.R | 10 R/orcutt-tidiers.R | 8 R/ordinal-clm-tidiers.R | 8 R/ordinal-clmm-tidiers.R | 8 R/plm-tidiers.R | 10 R/polca-tidiers.R | 10 R/psych-tidiers.R | 8 R/quantreg-nlrq-tidiers.R | 9 R/quantreg-rq-tidiers.R | 9 R/quantreg-rqs-tidiers.R | 2 R/robust-glmrob-tidiers.R | 7 R/robust-lmrob-tidiers.R | 7 R/robustbase-lmrob-tidiers.R | 2 R/spdep-tidiers.R | 13 R/speedglm-speedglm-tidiers.R | 8 R/speedglm-speedlm-tidiers.R | 10 R/stats-anova-tidiers.R | 106 +++++ R/stats-arima-tidiers.R | 2 R/stats-decompose-tidiers.R | 2 R/stats-factanal-tidiers.R | 2 R/stats-htest-tidiers.R | 14 R/stats-kmeans-tidiers.R | 14 R/stats-lm-tidiers.R | 9 R/stats-mlm-tidiers.R | 1 R/stats-nls-tidiers.R | 2 R/stats-prcomp-tidiers.R | 10 R/stats-smooth.spline-tidiers.R | 2 R/survey-tidiers.R | 57 ++- R/survival-aareg-tidiers.R | 8 R/survival-cch-tidiers.R | 10 R/survival-coxph-tidiers.R | 8 R/survival-pyears-tidiers.R | 8 R/survival-survdiff-tidiers.R | 9 R/survival-survexp-tidiers.R | 8 R/survival-survfit-tidiers.R | 8 R/survival-survreg-tidiers.R | 10 R/systemfit-tidiers.R | 10 R/tseries-tidiers.R | 10 R/utilities.R | 44 +- R/vars-tidiers.R | 9 R/zoo-tidiers.R | 13 build/vignette.rds |binary inst/WORDLIST | 4 inst/doc/adding-tidiers.Rmd | 13 inst/doc/adding-tidiers.html | 219 +++++++++++- inst/doc/available-methods.html | 205 +++++++++++ inst/doc/bootstrapping.html | 203 +++++++++++ inst/doc/broom.html | 410 ++++++++++++++++++++--- inst/doc/broom_and_dplyr.html | 284 ++++++++++++++-- inst/doc/kmeans.html | 199 +++++++++++ man/augment.Mclust.Rd | 19 - man/augment.betamfx.Rd | 17 man/augment.betareg.Rd | 20 - man/augment.clm.Rd | 20 - man/augment.coxph.Rd | 20 - man/augment.decomposed.ts.Rd | 11 man/augment.drc.Rd | 20 - man/augment.factanal.Rd | 11 man/augment.felm.Rd | 20 - man/augment.fixest.Rd | 9 man/augment.gam.Rd | 20 - man/augment.glm.Rd | 11 man/augment.htest.Rd | 11 man/augment.ivreg.Rd | 20 - man/augment.kmeans.Rd | 21 - man/augment.lm.Rd | 11 man/augment.lmRob.Rd | 19 - man/augment.loess.Rd | 11 man/augment.mfx.Rd | 21 - man/augment.mjoint.Rd | 19 - man/augment.mlogit.Rd | 20 - man/augment.nlrq.Rd | 11 man/augment.nls.Rd | 11 man/augment.pam.Rd | 21 - man/augment.plm.Rd | 20 - man/augment.poLCA.Rd | 20 - man/augment.polr.Rd | 20 - man/augment.prcomp.Rd | 11 man/augment.rlm.Rd | 19 - man/augment.rma.Rd | 19 - man/augment.robustbase.glmrob.Rd | 11 man/augment.robustbase.lmrob.Rd | 11 man/augment.rq.Rd | 9 man/augment.rqs.Rd | 9 man/augment.sarlm.Rd | 22 - man/augment.smooth.spline.Rd | 11 man/augment.speedlm.Rd | 20 - man/augment.stl.Rd | 11 man/augment.survreg.Rd | 20 - man/durbinWatsonTest_tidiers.Rd | 18 - man/glance.Arima.Rd | 11 man/glance.Mclust.Rd | 19 - man/glance.aareg.Rd | 20 - man/glance.anova.Rd |only man/glance.aov.Rd | 12 man/glance.betamfx.Rd | 17 man/glance.betareg.Rd | 20 - man/glance.biglm.Rd | 20 - man/glance.binDesign.Rd | 20 - man/glance.cch.Rd | 19 - man/glance.clm.Rd | 20 - man/glance.clmm.Rd | 20 - man/glance.coeftest.Rd | 20 - man/glance.coxph.Rd | 20 - man/glance.crr.Rd | 20 - man/glance.cv.glmnet.Rd | 19 - man/glance.drc.Rd | 20 - man/glance.factanal.Rd | 11 man/glance.felm.Rd | 20 - man/glance.fitdistr.Rd | 20 - man/glance.fixest.Rd | 9 man/glance.gam.Rd | 20 - man/glance.garch.Rd | 11 man/glance.geeglm.Rd | 20 - man/glance.glm.Rd | 11 man/glance.glmRob.Rd | 19 - man/glance.glmnet.Rd | 20 - man/glance.gmm.Rd | 20 - man/glance.ivreg.Rd | 20 - man/glance.kmeans.Rd | 21 - man/glance.lavaan.Rd | 20 - man/glance.lm.Rd | 11 man/glance.lmRob.Rd | 19 - man/glance.lmodel2.Rd | 20 - man/glance.margins.Rd | 20 - man/glance.mfx.Rd | 21 - man/glance.mjoint.Rd | 19 - man/glance.mlogit.Rd | 20 - man/glance.muhaz.Rd | 22 - man/glance.multinom.Rd | 22 - man/glance.negbin.Rd | 20 - man/glance.nlrq.Rd | 20 - man/glance.nls.Rd | 11 man/glance.orcutt.Rd | 20 - man/glance.pam.Rd | 21 - man/glance.plm.Rd | 20 - man/glance.poLCA.Rd | 20 - man/glance.polr.Rd | 20 - man/glance.pyears.Rd | 20 - man/glance.ridgelm.Rd | 20 - man/glance.rlm.Rd | 19 - man/glance.rma.Rd | 19 - man/glance.robustbase.lmrob.Rd | 11 man/glance.rq.Rd | 26 - man/glance.sarlm.Rd | 22 - man/glance.smooth.spline.Rd | 11 man/glance.speedglm.Rd | 20 - man/glance.speedlm.Rd | 20 - man/glance.summary.lm.Rd | 11 man/glance.survdiff.Rd | 21 - man/glance.survexp.Rd | 20 - man/glance.survfit.Rd | 8 man/glance.survreg.Rd | 20 - man/glance.svyglm.Rd | 20 - man/glance.svyolr.Rd | 29 - man/glance.varest.Rd | 20 - man/glance_gam_hastie.Rd | 11 man/glance_optim.Rd | 13 man/leveneTest_tidiers.Rd | 19 - man/list_tidiers.Rd | 2 man/metafor_tidiers.Rd | 19 - man/sparse_tidiers.Rd | 11 man/summary_tidiers.Rd | 11 man/tidy.Arima.Rd | 11 man/tidy.Kendall.Rd | 20 - man/tidy.Mclust.Rd | 19 - man/tidy.TukeyHSD.Rd | 12 man/tidy.aareg.Rd | 20 - man/tidy.acf.Rd | 11 man/tidy.anova.Rd | 22 - man/tidy.aov.Rd | 12 man/tidy.aovlist.Rd | 12 man/tidy.betamfx.Rd | 17 man/tidy.betareg.Rd | 20 - man/tidy.biglm.Rd | 20 - man/tidy.binDesign.Rd | 11 man/tidy.binWidth.Rd | 18 - man/tidy.boot.Rd | 26 - man/tidy.btergm.Rd | 22 - man/tidy.cch.Rd | 19 - man/tidy.cld.Rd | 20 - man/tidy.clm.Rd | 20 - man/tidy.clmm.Rd | 20 - man/tidy.coeftest.Rd | 20 - man/tidy.confint.glht.Rd | 20 - man/tidy.confusionMatrix.Rd | 20 - man/tidy.coxph.Rd | 20 - man/tidy.crr.Rd | 20 - man/tidy.cv.glmnet.Rd | 19 - man/tidy.density.Rd | 11 man/tidy.dist.Rd | 11 man/tidy.drc.Rd | 20 - man/tidy.emmGrid.Rd | 9 man/tidy.epi.2by2.Rd | 20 - man/tidy.ergm.Rd | 9 man/tidy.factanal.Rd | 11 man/tidy.felm.Rd | 20 - man/tidy.fitdistr.Rd | 20 - man/tidy.fixest.Rd | 9 man/tidy.ftable.Rd | 11 man/tidy.gam.Rd | 20 - man/tidy.garch.Rd | 20 - man/tidy.geeglm.Rd | 20 - man/tidy.glht.Rd | 20 - man/tidy.glm.Rd | 11 man/tidy.glmRob.Rd | 19 - man/tidy.glmnet.Rd | 20 - man/tidy.gmm.Rd | 20 - man/tidy.htest.Rd | 11 man/tidy.ivreg.Rd | 20 - man/tidy.kappa.Rd | 20 - man/tidy.kde.Rd | 20 - man/tidy.kmeans.Rd | 24 - man/tidy.lavaan.Rd | 9 man/tidy.lm.Rd | 18 - man/tidy.lm.beta.Rd | 20 - man/tidy.lmRob.Rd | 19 - man/tidy.lmodel2.Rd | 20 - man/tidy.lsmobj.Rd | 9 man/tidy.manova.Rd | 1 man/tidy.map.Rd | 20 - man/tidy.margins.Rd | 20 - man/tidy.mediate.Rd | 20 - man/tidy.mfx.Rd | 21 - man/tidy.mjoint.Rd | 19 - man/tidy.mle2.Rd | 20 - man/tidy.mlm.Rd | 11 man/tidy.mlogit.Rd | 20 - man/tidy.muhaz.Rd | 22 - man/tidy.multinom.Rd | 22 - man/tidy.negbin.Rd | 20 - man/tidy.nlrq.Rd | 20 - man/tidy.nls.Rd | 11 man/tidy.orcutt.Rd | 20 - man/tidy.pairwise.htest.Rd | 20 - man/tidy.pam.Rd | 21 - man/tidy.plm.Rd | 20 - man/tidy.poLCA.Rd | 20 - man/tidy.polr.Rd | 20 - man/tidy.power.htest.Rd | 11 man/tidy.prcomp.Rd | 20 - man/tidy.pyears.Rd | 20 - man/tidy.rcorr.Rd | 20 - man/tidy.ref.grid.Rd | 9 man/tidy.regsubsets.Rd | 20 - man/tidy.ridgelm.Rd | 20 - man/tidy.rlm.Rd | 11 man/tidy.robustbase.glmrob.Rd | 11 man/tidy.robustbase.lmrob.Rd | 11 man/tidy.roc.Rd | 20 - man/tidy.rq.Rd | 9 man/tidy.rqs.Rd | 9 man/tidy.sarlm.Rd | 22 - man/tidy.spec.Rd | 11 man/tidy.speedglm.Rd | 20 - man/tidy.speedlm.Rd | 20 - man/tidy.summary.glht.Rd | 20 - man/tidy.summary.lm.Rd | 11 man/tidy.summary_emm.Rd | 9 man/tidy.survdiff.Rd | 21 - man/tidy.survexp.Rd | 20 - man/tidy.survfit.Rd | 19 - man/tidy.survreg.Rd | 20 - man/tidy.svyglm.Rd | 11 man/tidy.svyolr.Rd | 57 +-- man/tidy.systemfit.Rd | 20 - man/tidy.table.Rd | 11 man/tidy.ts.Rd | 11 man/tidy.varest.Rd | 20 - man/tidy.zoo.Rd | 19 - man/tidy_gam_hastie.Rd | 20 - man/tidy_irlba.Rd | 21 - man/tidy_optim.Rd | 13 man/tidy_svd.Rd | 21 - man/tidy_xyz.Rd | 17 tests/testthat/test-boot.R | 8 tests/testthat/test-cmprsk.R | 2 tests/testthat/test-fixest.R | 6 tests/testthat/test-stats-anova.R | 34 + tests/testthat/test-stats-htest.R | 11 tests/testthat/test-utilities.R | 50 ++ vignettes/adding-tidiers.Rmd | 13 vignettes/articles |only 338 files changed, 4166 insertions(+), 3151 deletions(-)
Title: Rendering Word Documents with R Inline Code
Description: Serves for rendering MS Word documents with R inline code and inserting tables and plots.
Author: Tomas Hovorka
Maintainer: Tomas Hovorka <tomashovorka@seznam.cz>
Diff between WordR versions 0.3.3 dated 2022-06-28 and 0.3.4 dated 2022-07-01
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 4 ++++ R/renderAll.R | 2 +- inst/doc/WordR.html | 4 ++-- man/renderAll.Rd | 2 +- tests/testthat/tests.R | 38 +++++++++++++++++++++++++++----------- 7 files changed, 44 insertions(+), 24 deletions(-)
Title: Calculate Exploded Coordinates Based on Original Node
Coordinates and Node Clustering Membership
Description: Current layout algorithms such as Kamada Kawai do not take into consideration disjoint clusters in a network, often resulting in a high overlap among the clusters, resulting in a visual “hairball” that often is uninterpretable. The ExplodeLayout algorithm takes as input (1) an edge list of a unipartite or bipartite network, (2) node layout coordinates (x, y) generated by a layout algorithm such as Kamada Kawai, (3) node cluster membership generated from a clustering algorithm such as modularity maximization, and (4) a radius to enable the node clusters to be “exploded” to reduce their overlap. The algorithm uses these inputs to generate new layout coordinates of the nodes which “explodes” the clusters apart, such that the edge lengths within the clusters are preserved, while the edge lengths between clusters are recalculated. The modified network layout with nodes and edges are displayed in two dimensions. The user can experiment with different explode radii to generate a layout which has sufficient separation of clusters, while reducing the overall layout size of the network. This package is a basic version of an earlier version called [epl]<https://github.com/UTMB-DIVA-Lab/epl> that searched for an optimal explode radius, and offered multiple ways to separate clusters in a network (Bhavnani et al(2017) <PMID: 28815099>). The example dataset is for a bipartite network, but the algorithm can work also for unipartite networks.
Author: Suresh K. Bhavnani [aut],
Weibin Zhang [cre, aut]
Maintainer: Weibin Zhang <weibzhan@utmb.edu>
Diff between ExplodeLayout versions 0.1.1 dated 2022-05-31 and 0.1.2 dated 2022-07-01
DESCRIPTION | 8 ++++---- MD5 | 9 +++++---- NEWS.md |only R/ExplodeLayoutBasic.R | 17 +++++++++++++++-- man/figures/README-example-1.png |binary man/plot_binet_ggplot2.Rd | 4 +++- 6 files changed, 27 insertions(+), 11 deletions(-)
Title: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Description: CIFTI files contain brain imaging data in "grayordinates," which
represent the gray matter as cortical surface vertices (left and right) and
subcortical voxels (cerebellum, basal ganglia, and other deep gray matter).
'ciftiTools' provides a unified environment for reading, writing,
visualizing and manipulating CIFTI-format data. It supports the "dscalar,"
"dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti"
object, which is structured for convenient access to the data and metadata,
and includes support for surface geometry files to enable
spatially-dependent functionality such as static or interactive
visualizations and smoothing.
Author: Amanda Mejia [aut, cre],
Damon Pham [aut] ,
John Muschelli [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Diff between ciftiTools versions 0.9.0 dated 2022-05-16 and 0.10.2 dated 2022-07-01
DESCRIPTION | 8 +- MD5 | 34 ++++----- NEWS.md | 25 +++--- R/newdata_xifti.R | 1 R/resample_gifti.R | 109 ++++++++++++++++++++--------- R/rox_args_docs.R | 7 + R/smooth_cifti.R | 2 R/utils_color.R | 169 +++++++++++++++++++++++---------------------- R/utils_xifti.R | 6 + R/view_xifti_surface.R | 11 ++ R/view_xifti_volume.R | 20 +++-- R/write_cifti.R | 7 + man/resample_gifti.Rd | 28 ++++++- man/separate_cifti.Rd | 29 ------- man/surface_plot_Params.Rd | 8 +- man/view_surf.Rd | 23 ------ man/view_xifti_surface.Rd | 39 +--------- man/write_xifti2.Rd | 29 ------- 18 files changed, 280 insertions(+), 275 deletions(-)
Title: Small Area Estimation under Hurdle Negative Binomial
Distribution using Hierarchical Bayesian Method
Description: We design this package to provide a function for area level of small area estimation using Hierarchical Bayesian (HB) method under Hurdle Negative Binomial Distribution. This package provides model using Univariate Hurdle Negative Binomial Distribution for variable of interest. This package also provides a dataset produced by a data generation. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the Hierarchical Bayes estimators which include the mean and the variation of mean. For references, see Hilbe (2011) <doi:10.1017/CBO9780511973420> and Rao (2015) <doi:10.1002/9781118735855>.
Author: Raka Ikmana [aut, cre], Azka Ubaidillah [aut]
Maintainer: Raka Ikmana <221810548@stis.ac.id>
Diff between saeHB.hnb versions 0.1.1 dated 2022-06-09 and 0.1.2 dated 2022-07-01
saeHB.hnb-0.1.1/saeHB.hnb/R/dataHNBNS.R |only saeHB.hnb-0.1.1/saeHB.hnb/data/dataHNBNS.rda |only saeHB.hnb-0.1.1/saeHB.hnb/man/dataHNBNS.Rd |only saeHB.hnb-0.1.2/saeHB.hnb/DESCRIPTION | 6 saeHB.hnb-0.1.2/saeHB.hnb/MD5 | 22 +- saeHB.hnb-0.1.2/saeHB.hnb/R/HurdleNB.R | 140 ++++++--------- saeHB.hnb-0.1.2/saeHB.hnb/R/dataHNB.R | 4 saeHB.hnb-0.1.2/saeHB.hnb/R/dataHNBNs.R |only saeHB.hnb-0.1.2/saeHB.hnb/build/vignette.rds |binary saeHB.hnb-0.1.2/saeHB.hnb/data/dataHNB.rda |binary saeHB.hnb-0.1.2/saeHB.hnb/data/dataHNBNs.rda |only saeHB.hnb-0.1.2/saeHB.hnb/inst/doc/saeHB_hnb.html | 198 +++++++++++++++++++++- saeHB.hnb-0.1.2/saeHB.hnb/man/HurdleNB.Rd | 7 saeHB.hnb-0.1.2/saeHB.hnb/man/dataHNB.Rd | 4 saeHB.hnb-0.1.2/saeHB.hnb/man/dataHNBNs.Rd |only 15 files changed, 277 insertions(+), 104 deletions(-)
Title: Projected Subset Gradient Descent
Description: Functions to generate ensembles of generalized linear models using
a greedy projected subset gradient descent algorithm. The sparsity
and diversity tuning parameters are selected by cross-validation.
Author: Anthony Christidis [aut, cre],
Stefan Van Aelst [aut],
Ruben Zamar [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Diff between PSGD versions 1.0.0 dated 2022-03-09 and 1.0.1 dated 2022-07-01
DESCRIPTION | 8 ++-- MD5 | 20 +++++----- NEWS | 6 +++ README.md | 4 +- src/Main_CV_PSGD.cpp | 30 ++++++++------- src/Main_PSGD.cpp | 2 - src/PSGD.cpp | 98 +++++++++++++++++++++++++++++++------------------ src/PSGD.hpp | 2 + src/PS_Model.cpp | 4 +- src/Step_Model.cpp | 6 +-- src/Stepwise_Split.hpp | 2 - 11 files changed, 110 insertions(+), 72 deletions(-)
Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data
Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre] ,
Dina Schuster [aut] ,
ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>
Diff between protti versions 0.3.0 dated 2022-04-12 and 0.3.1 dated 2022-07-01
DESCRIPTION | 8 MD5 | 46 NAMESPACE | 1 NEWS.md | 11 R/calculate_kegg_enrichment.R | 6 R/extract_metal_binders.R | 8 R/fetch_kegg.R | 6 R/fetch_uniprot.R | 2 R/fetch_uniprot_proteome.R | 2 R/qc_intensity_distribution.R | 3 R/try_query.R | 9 build/vignette.rds |binary inst/doc/data_analysis_dose_response_workflow.html | 522 ++++++- inst/doc/data_analysis_single_dose_treatment_workflow.html | 624 ++++++++- inst/doc/input_preparation_workflow.html | 434 +++++- inst/doc/protein_structure_workflow.R | 14 inst/doc/protein_structure_workflow.Rmd | 22 inst/doc/protein_structure_workflow.html | 892 +++++++++++-- inst/doc/quality_control_workflow.Rmd | 2 inst/doc/quality_control_workflow.html | 499 ++++++- man/calculate_kegg_enrichment.Rd | 6 tests/testthat/test-structure_functions.R | 2 vignettes/protein_structure_workflow.Rmd | 22 vignettes/quality_control_workflow.Rmd | 2 24 files changed, 2785 insertions(+), 358 deletions(-)
Title: Prevalence and Regression for Pool-Tested (Group-Tested) Data
Description: An easy-to-use tool for working with presence/absence tests on 'pooled'
or 'grouped' samples. The primary application is for estimating prevalence of
a marker in a population based on the results of tests on pooled specimens.
This sampling method is often employed in surveillance of rare conditions in
humans or animals (e.g. molecular xenomonitoring). The package was initially
conceived as an R-based alternative to the molecular xenomonitoring software,
'PoolScreen' <https://sites.uab.edu/statgenetics/software/>. However, it goes
further, allowing for estimates of prevalence to be adjusted for hierarchical
sampling frames, and perform flexible mixed-effect regression analyses
(McLure et al. Environmental Modelling and Software.
<DOI:10.1016/j.envsoft.2021.105158>). The package is currently in early stages,
however more features are planned or in the works: e.g. adjustments for
imperfect test specificity/sensitivity, functions for helping with optimal
experimental design, and functions for spatial modelling.
Author: Angus McLure [aut, cre]
Maintainer: Angus McLure <angus.mclure@anu.edu.au>
Diff between PoolTestR versions 0.1.2 dated 2022-01-18 and 0.1.3 dated 2022-07-01
DESCRIPTION | 6 ++--- MD5 | 14 ++++++------ NEWS.md | 5 ++++ R/HierPoolPrev.R | 26 +++++++++++------------ R/PoolPrev.R | 57 +++++++++++++++++++++++++++++++--------------------- README.md | 4 +-- man/HierPoolPrev.Rd | 26 +++++++++++------------ man/PoolPrev.Rd | 35 +++++++++++++++++++++---------- 8 files changed, 101 insertions(+), 72 deletions(-)
Title: Dynamical Systems Approach to Immune Response Modeling
Description: Simulation models (apps) of various within-host immune response scenarios.
The purpose of the package is to help individuals learn
about within-host infection and immune response modeling from a dynamical systems perspective.
All apps include explanations of the underlying models and instructions on what to do with the models.
Author: Andreas Handel [aut, cre] ,
Cody Dailey [ctb],
Yang Ge [ctb],
Spencer Hall [ctb],
Brian McKay [ctb],
Sina Solaimanpour [ctb],
Alexis Vittengl [ctb],
Henok Woldu [ctb]
Maintainer: Andreas Handel <andreas.handel@gmail.com>
Diff between DSAIRM versions 0.9.3 dated 2021-07-28 and 0.9.5 dated 2022-07-01
DSAIRM-0.9.3/DSAIRM/R/simulate_Basic_Virus_Model_ode.R |only DSAIRM-0.9.3/DSAIRM/R/simulate_Basic_Virus_Model_stochastic.R |only DSAIRM-0.9.3/DSAIRM/inst/simulatorfunctions/simulate_Basic_Virus_Model_ode.R |only DSAIRM-0.9.3/DSAIRM/inst/simulatorfunctions/simulate_Basic_Virus_Model_stochastic.R |only DSAIRM-0.9.3/DSAIRM/man/simulate_Basic_Virus_Model_ode.Rd |only DSAIRM-0.9.3/DSAIRM/man/simulate_Basic_Virus_Model_stochastic.Rd |only DSAIRM-0.9.5/DSAIRM/DESCRIPTION | 17 DSAIRM-0.9.5/DSAIRM/MD5 | 164 DSAIRM-0.9.5/DSAIRM/NAMESPACE | 10 DSAIRM-0.9.5/DSAIRM/NEWS.md | 59 DSAIRM-0.9.5/DSAIRM/R/check_simresults.R |only DSAIRM-0.9.5/DSAIRM/R/data.R | 31 DSAIRM-0.9.5/DSAIRM/R/dsairmmenu.R | 2 DSAIRM-0.9.5/DSAIRM/R/generate_modelsettings.R |only DSAIRM-0.9.5/DSAIRM/R/generate_shinyinput.R | 7 DSAIRM-0.9.5/DSAIRM/R/run_model.R | 37 DSAIRM-0.9.5/DSAIRM/R/simulate_acutevirusir_ode.R |only DSAIRM-0.9.5/DSAIRM/R/simulate_bacteria_fit.R |only DSAIRM-0.9.5/DSAIRM/R/simulate_basicvirus_fit.R | 6 DSAIRM-0.9.5/DSAIRM/R/simulate_basicvirus_modelexploration.R | 2 DSAIRM-0.9.5/DSAIRM/R/simulate_basicvirus_ode.R |only DSAIRM-0.9.5/DSAIRM/R/simulate_basicvirus_stochastic.R |only DSAIRM-0.9.5/DSAIRM/R/simulate_chronicvirusir_ode.R |only DSAIRM-0.9.5/DSAIRM/R/simulate_confint_fit.R | 4 DSAIRM-0.9.5/DSAIRM/R/simulate_extendedbacteria_ode.R |only DSAIRM-0.9.5/DSAIRM/build/vignette.rds |binary DSAIRM-0.9.5/DSAIRM/data/schirm20strep.rda |only DSAIRM-0.9.5/DSAIRM/inst/DSAIRM/app.R | 80 DSAIRM-0.9.5/DSAIRM/inst/appinformation/acutevirusir_documentation.Rmd |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/acutevirusir_documentation.html |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/acutevirusir_tasktable.tsv |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/apptable.tsv | 22 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicbacteria_documentation.Rmd | 4 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicbacteria_documentation.html | 382 + DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicbacteria_tasktable.tsv | 12 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicbacteriaexploration_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicbacteriaexploration_documentation.html | 189 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicvirus_documentation.Rmd | 4 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicvirus_documentation.html | 289 - DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicvirus_tasktable.tsv | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicvirusexploration_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicvirusexploration_documentation.html | 204 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicvirusstochastic_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/basicvirusstochastic_documentation.html | 209 DSAIRM-0.9.5/DSAIRM/inst/appinformation/chronicvirusir_documentation.Rmd |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/chronicvirusir_documentation.html |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/chronicvirusir_tasktable.tsv |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/drugresistance_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/drugresistance_documentation.html | 232 DSAIRM-0.9.5/DSAIRM/inst/appinformation/dsairm_references.bib | 2759 ++-------- DSAIRM-0.9.5/DSAIRM/inst/appinformation/extendedbacteria_documentation.Rmd |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/extendedbacteria_documentation.html |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/extendedbacteria_tasktable.tsv |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitbacteria_documentation.Rmd |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitbacteria_documentation.html |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitbacteria_tasktable.tsv |only DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitbasicmodel_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitbasicmodel_documentation.html | 441 + DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitconfint_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitconfint_documentation.html | 203 DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitfludrug_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitfludrug_documentation.html | 241 DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitmodelcomparison_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/fitmodelcomparison_documentation.html | 290 - DSAIRM-0.9.5/DSAIRM/inst/appinformation/modelvariants_documentation.Rmd | 40 DSAIRM-0.9.5/DSAIRM/inst/appinformation/modelvariants_documentation.html | 400 + DSAIRM-0.9.5/DSAIRM/inst/appinformation/pkpdmodel_documentation.Rmd | 4 DSAIRM-0.9.5/DSAIRM/inst/appinformation/pkpdmodel_documentation.html | 303 - DSAIRM-0.9.5/DSAIRM/inst/appinformation/pkpdmodel_tasktable.tsv | 4 DSAIRM-0.9.5/DSAIRM/inst/appinformation/usanalysis_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/usanalysis_documentation.html | 394 + DSAIRM-0.9.5/DSAIRM/inst/appinformation/virusandir_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/virusandir_documentation.html | 284 - DSAIRM-0.9.5/DSAIRM/inst/appinformation/virusandir_tasktable.tsv | 16 DSAIRM-0.9.5/DSAIRM/inst/appinformation/virusandtx_documentation.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/appinformation/virusandtx_documentation.html | 320 - DSAIRM-0.9.5/DSAIRM/inst/doc/DSAIRM.Rmd | 2 DSAIRM-0.9.5/DSAIRM/inst/doc/DSAIRM.html | 524 + DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_acutevirusir_ode.R |only DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_bacteria_fit.R |only DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_basicvirus_fit.R | 6 DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_basicvirus_modelexploration.R | 2 DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_basicvirus_ode.R |only DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_basicvirus_stochastic.R |only DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_chronicvirusir_ode.R |only DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_confint_fit.R | 4 DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulate_extendedbacteria_ode.R |only DSAIRM-0.9.5/DSAIRM/inst/simulatorfunctions/simulatorfunctions.zip |binary DSAIRM-0.9.5/DSAIRM/man/check_simresults.Rd |only DSAIRM-0.9.5/DSAIRM/man/generate_modelsettings.Rd |only DSAIRM-0.9.5/DSAIRM/man/generate_text.Rd | 68 DSAIRM-0.9.5/DSAIRM/man/run_model.Rd | 72 DSAIRM-0.9.5/DSAIRM/man/schirm20strep.Rd |only DSAIRM-0.9.5/DSAIRM/man/simulate_acutevirusir_ode.Rd |only DSAIRM-0.9.5/DSAIRM/man/simulate_bacteria_fit.Rd |only DSAIRM-0.9.5/DSAIRM/man/simulate_basicvirus_ode.Rd |only DSAIRM-0.9.5/DSAIRM/man/simulate_basicvirus_stochastic.Rd |only DSAIRM-0.9.5/DSAIRM/man/simulate_chronicvirusir_ode.Rd |only DSAIRM-0.9.5/DSAIRM/man/simulate_extendedbacteria_ode.Rd |only DSAIRM-0.9.5/DSAIRM/tests/testthat/test-generate_ggplot.R | 4 DSAIRM-0.9.5/DSAIRM/tests/testthat/test-generate_plotly.R | 4 DSAIRM-0.9.5/DSAIRM/tests/testthat/test-run_model.R | 6 DSAIRM-0.9.5/DSAIRM/tests/testthat/test-stochastic-virus-app.R | 2 DSAIRM-0.9.5/DSAIRM/vignettes/DSAIRM.Rmd | 2 104 files changed, 5231 insertions(+), 3154 deletions(-)
Title: Data Utility Functions
Description: Data utility functions for use in probability and statistics. Includes functions for computing higher-moments for samples and their decompositions.
Also includes utilities to examine functional mappings between factor variables and other variables in a data set.
Author: Ben O'Neill [aut, cre]
Maintainer: Ben O'Neill <ben.oneill@hotmail.com>
Diff between utilities versions 0.4.0 dated 2021-11-28 and 0.6.1 dated 2022-07-01
DESCRIPTION | 13 +++--- MD5 | 23 ++++++++---- NAMESPACE | 11 +++++ R/KDE.R |only R/datasets.str.R | 19 +++++----- R/log.R | 29 ++++++++++++--- R/print.data.frame.R |only R/softmax.R | 83 +++++++++++++++++++++++++++++++++++++++----- R/tailplot.R |only R/zipfplot.R |only man/KDE.Rd |only man/KDE_utils.Rd |only man/dot-print.data.frame.Rd |only man/log.Rd | 6 ++- man/softmax.Rd | 27 ++++++++++---- man/tailplot.Rd |only man/zipfplot.Rd |only 17 files changed, 168 insertions(+), 43 deletions(-)
Title: Wrappers to Simplify Pretty 'ggplot2' Visualisation
Description: Wrapper functions around the amazing 'ggplot2' package to simplify
pretty visualisation.
Author: David Hodge [aut, cre]
Maintainer: David Hodge <davidhodge931@gmail.com>
Diff between ggblanket versions 1.1.0 dated 2022-05-27 and 1.2.0 dated 2022-07-01
DESCRIPTION | 18 MD5 | 159 ++-- NAMESPACE | 1 NEWS.md | 17 R/add_tooltip_text.R |only R/gg_area.R | 658 ++++++++++--------- R/gg_bar.R | 645 ++++++++++--------- R/gg_blank.R | 1002 +++++++++++++++++------------- R/gg_boxplot.R | 655 ++++++++++--------- R/gg_col.R | 648 ++++++++++--------- R/gg_crossbar.R | 650 ++++++++++--------- R/gg_density.R | 653 ++++++++++--------- R/gg_errorbar.R | 650 ++++++++++--------- R/gg_freqpoly.R | 656 ++++++++++--------- R/gg_function.R | 654 ++++++++++--------- R/gg_histogram.R | 660 ++++++++++--------- R/gg_jitter.R | 659 ++++++++++--------- R/gg_label.R | 658 ++++++++++--------- R/gg_line.R | 658 ++++++++++--------- R/gg_linerange.R | 662 ++++++++++--------- R/gg_path.R | 659 ++++++++++--------- R/gg_point.R | 658 ++++++++++--------- R/gg_pointrange.R | 659 ++++++++++--------- R/gg_qq.R | 653 ++++++++++--------- R/gg_raster.R | 658 ++++++++++--------- R/gg_rect.R | 663 ++++++++++--------- R/gg_ribbon.R | 661 ++++++++++--------- R/gg_segment.R | 658 ++++++++++--------- R/gg_sf.R | 234 ++++--- R/gg_smooth.R | 658 ++++++++++--------- R/gg_step.R | 658 ++++++++++--------- R/gg_text.R | 658 ++++++++++--------- R/gg_theme.R | 74 +- R/gg_tile.R | 785 ++++++++++++----------- R/gg_violin.R | 654 ++++++++++--------- R/pal.R | 2 README.md | 322 ++++++--- man/add_tooltip_text.Rd |only man/figures/README-unnamed-chunk-10-1.png |binary man/figures/README-unnamed-chunk-11-1.png |binary man/figures/README-unnamed-chunk-12-1.png |binary man/figures/README-unnamed-chunk-13-1.png |binary man/figures/README-unnamed-chunk-14-1.png |only man/figures/README-unnamed-chunk-15-1.png |only man/figures/README-unnamed-chunk-3-1.png |binary man/figures/README-unnamed-chunk-4-1.png |binary man/figures/README-unnamed-chunk-5-1.png |binary man/figures/README-unnamed-chunk-6-1.png |binary man/figures/README-unnamed-chunk-7-1.png |binary man/figures/README-unnamed-chunk-8-1.png |binary man/figures/README-unnamed-chunk-9-1.png |binary man/figures/ggplotly_screenshot.png |only man/gg_area.Rd | 72 -- man/gg_bar.Rd | 72 -- man/gg_blank.Rd | 116 +-- man/gg_boxplot.Rd | 79 -- man/gg_col.Rd | 72 -- man/gg_crossbar.Rd | 72 -- man/gg_density.Rd | 72 -- man/gg_errorbar.Rd | 72 -- man/gg_freqpoly.Rd | 74 -- man/gg_function.Rd | 72 -- man/gg_histogram.Rd | 78 +- man/gg_jitter.Rd | 72 -- man/gg_label.Rd | 72 -- man/gg_line.Rd | 72 -- man/gg_linerange.Rd | 72 -- man/gg_path.Rd | 72 -- man/gg_point.Rd | 72 -- man/gg_pointrange.Rd | 72 -- man/gg_qq.Rd | 72 -- man/gg_raster.Rd | 72 -- man/gg_rect.Rd | 72 -- man/gg_ribbon.Rd | 72 -- man/gg_segment.Rd | 72 -- man/gg_sf.Rd | 35 - man/gg_smooth.Rd | 72 -- man/gg_step.Rd | 72 -- man/gg_text.Rd | 72 -- man/gg_tile.Rd | 81 +- man/gg_violin.Rd | 72 -- man/ggblanket-package.Rd | 4 man/pal_na.Rd | 2 83 files changed, 11628 insertions(+), 10174 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-06-23 0.9.4
2021-11-07 0.9.3
2021-11-03 0.9.2
2021-11-02 0.9.1
2020-06-04 0.5.0