Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a
model without having to remember the different argument names across
different functions or computational engines (e.g. 'R', 'Spark',
'Stan', 'H2O', etc).
Author: Max Kuhn [aut, cre],
Davis Vaughan [aut],
Emil Hvitfeldt [ctb],
Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Diff between parsnip versions 1.3.0 dated 2025-02-13 and 1.3.1 dated 2025-03-11
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 6 ++++++ R/tidy_glmnet.R | 7 +++++-- README.md | 4 ++-- build/stage23.rdb |binary build/vignette.rds |binary tests/testthat/_snaps/mlp_keras.md | 11 ++--------- 8 files changed, 25 insertions(+), 23 deletions(-)
Title: Computation and Visualization of Package Download Counts and
Percentile Ranks
Description: Compute and visualize package download counts and percentile ranks
from Posit/RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>
Diff between packageRank versions 0.9.4 dated 2024-11-12 and 0.9.5 dated 2025-03-11
packageRank-0.9.4/packageRank/man/annualDownloads.Rd |only packageRank-0.9.4/packageRank/man/figures/README-annualDownloads-1.png |only packageRank-0.9.4/packageRank/man/plot.annualDownloads.Rd |only packageRank-0.9.5/packageRank/DESCRIPTION | 12 packageRank-0.9.5/packageRank/MD5 | 29 - packageRank-0.9.5/packageRank/NAMESPACE | 2 packageRank-0.9.5/packageRank/NEWS.md | 15 packageRank-0.9.5/packageRank/R/annualDownloads.R | 4 packageRank-0.9.5/packageRank/R/cranDistribution.R | 2 packageRank-0.9.5/packageRank/R/cranDownloads.R | 11 packageRank-0.9.5/packageRank/R/cranDownloadsPlotAuxilliary.R | 27 + packageRank-0.9.5/packageRank/R/cranDownloadsPlotFunctions.R | 151 ++++------ packageRank-0.9.5/packageRank/R/packageHistory.R | 27 + packageRank-0.9.5/packageRank/R/packageRank-package.R | 6 packageRank-0.9.5/packageRank/R/sequenceFilter.R | 3 packageRank-0.9.5/packageRank/README.md | 140 +++------ packageRank-0.9.5/packageRank/man/packageRank-package.Rd | 6 17 files changed, 220 insertions(+), 215 deletions(-)
Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices
and arrays: automatic propagation, conversion, derivation
and simplification of units; raising errors in case of unit
incompatibility. Compatible with the POSIXct, Date and difftime
classes. Uses the UNIDATA udunits library and unit database for
unit compatibility checking and conversion.
Documentation about 'units' is provided in the paper by Pebesma, Mailund &
Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a
vignette; see 'citation("units")' for details.
Author: Edzer Pebesma [aut, cre] ,
Thomas Mailund [aut],
Tomasz Kalinowski [aut],
James Hiebert [ctb],
Inaki Ucar [aut] ,
Thomas Lin Pedersen [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>
Diff between units versions 0.8-6 dated 2025-03-07 and 0.8-7 dated 2025-03-11
DESCRIPTION | 6 +- MD5 | 18 ++++---- NEWS.md | 6 ++ R/RcppExports.R | 4 - configure | 27 ++++++++---- configure.ac | 8 +++ inst/doc/units.html | 117 +++++++++++++++++++++++++--------------------------- src/Makevars.in | 1 src/RcppExports.cpp | 8 +-- src/udunits.cpp | 9 ++-- 10 files changed, 113 insertions(+), 91 deletions(-)
Title: Distance-Sampling Analyses for Density and Abundance Estimation
Description: Distance-sampling analyses (<doi:10.1007/978-3-319-19219-2>)
estimate density and abundance of survey targets (e.g., animals) when
detection declines with distance. Distance-sampling is popular ecology,
especially when survey targets are observed from aerial platforms (e.g.,
airplane or drone), surface vessels (e.g., boat or truck), or along
walking transects. Both point and line transects can be analyzed. Outputs
include overall (study area) density and abundance, effective sampling
distances, and model fit statistics. A large suite of classical, parametric
detection functions (e.g., half-normal, hazard rate) is included along
with uncommon parametric functions (e.g., Gamma, negative exponential).
Non-parametric smoothed distance functions are included. Measurement unit
integrity is enforced via internal unit conversion. The help files and
vignettes have been vetted by multiple authors and tested in workshop
settings.
Author: Trent McDonald [cre, aut],
Jason Carlisle [aut],
Aidan McDonald [aut] ,
Ryan Nielson [ctb] ,
Ben Augustine [ctb] ,
James Griswald [ctb] ,
Patrick McKann [ctb] ,
Lacey Jeroue [ctb] ,
Hoffman Abigail [ctb] ,
Kleinsausser Michael [ctb] ,
Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>
Diff between Rdistance versions 3.0.0 dated 2023-06-13 and 3.1.4 dated 2025-03-11
Rdistance-3.0.0/Rdistance/R/F.double.obs.prob.R |only Rdistance-3.0.0/Rdistance/R/Gamma.like.R |only Rdistance-3.0.0/Rdistance/R/coef.dfunc.R |only Rdistance-3.0.0/Rdistance/R/getDfuncModelFrame.R |only Rdistance-3.0.0/Rdistance/R/secondDeriv.R |only Rdistance-3.0.0/Rdistance/R/simple.expansion.R |only Rdistance-3.0.0/Rdistance/R/smu.like.R |only Rdistance-3.1.4/Rdistance/DESCRIPTION | 41 Rdistance-3.1.4/Rdistance/MD5 | 142 - Rdistance-3.1.4/Rdistance/NAMESPACE | 2 Rdistance-3.1.4/Rdistance/NEWS.md | 24 Rdistance-3.1.4/Rdistance/R/F.double.obs.prob.r |only Rdistance-3.1.4/Rdistance/R/F.start.limits.r | 12 Rdistance-3.1.4/Rdistance/R/Gamma.like.r |only Rdistance-3.1.4/Rdistance/R/Rdistance-package.R | 3 Rdistance-3.1.4/Rdistance/R/abundEstim.R | 65 Rdistance-3.1.4/Rdistance/R/coef.dfunc.r |only Rdistance-3.1.4/Rdistance/R/dfuncEstim.R | 12 Rdistance-3.1.4/Rdistance/R/dfuncSmu.R | 2 Rdistance-3.1.4/Rdistance/R/getDfuncModelFrame.r |only Rdistance-3.1.4/Rdistance/R/halfnorm.like.R | 5 Rdistance-3.1.4/Rdistance/R/isUnitless.R | 2 Rdistance-3.1.4/Rdistance/R/plot.dfunc.r | 8 Rdistance-3.1.4/Rdistance/R/print.abund.r | 127 - Rdistance-3.1.4/Rdistance/R/print.dfunc.r | 146 - Rdistance-3.1.4/Rdistance/R/secondDeriv.r |only Rdistance-3.1.4/Rdistance/R/simple.expansion.r |only Rdistance-3.1.4/Rdistance/R/smu.like.r |only Rdistance-3.1.4/Rdistance/R/summary.abund.R |only Rdistance-3.1.4/Rdistance/R/summary.dfunc.R |only Rdistance-3.1.4/Rdistance/build/partial.rdb |binary Rdistance-3.1.4/Rdistance/build/vignette.rds |binary Rdistance-3.1.4/Rdistance/inst/doc/Extended_dfuncEstim_Examples.R | 8 Rdistance-3.1.4/Rdistance/inst/doc/Extended_dfuncEstim_Examples.Rmd | 8 Rdistance-3.1.4/Rdistance/inst/doc/Extended_dfuncEstim_Examples.pdf |binary Rdistance-3.1.4/Rdistance/inst/doc/Rdistance_BeginnerLineTransect.R | 4 Rdistance-3.1.4/Rdistance/inst/doc/Rdistance_BeginnerLineTransect.Rmd | 2 Rdistance-3.1.4/Rdistance/inst/doc/Rdistance_BeginnerLineTransect.pdf |binary Rdistance-3.1.4/Rdistance/man/AIC.dfunc.Rd | 144 - Rdistance-3.1.4/Rdistance/man/EDR.Rd | 140 - Rdistance-3.1.4/Rdistance/man/ESW.Rd | 194 +- Rdistance-3.1.4/Rdistance/man/F.double.obs.prob.Rd | 104 - Rdistance-3.1.4/Rdistance/man/F.gx.estim.Rd | 274 +-- Rdistance-3.1.4/Rdistance/man/F.maximize.g.Rd | 72 Rdistance-3.1.4/Rdistance/man/F.nLL.Rd | 158 +- Rdistance-3.1.4/Rdistance/man/F.start.limits.Rd | 204 +- Rdistance-3.1.4/Rdistance/man/Gamma.like.Rd | 192 +- Rdistance-3.1.4/Rdistance/man/Gamma.start.limits.Rd | 92 - Rdistance-3.1.4/Rdistance/man/Rdistance-package.Rd | 302 +-- Rdistance-3.1.4/Rdistance/man/RdistanceControls.Rd | 222 +- Rdistance-3.1.4/Rdistance/man/abundEstim.Rd | 14 Rdistance-3.1.4/Rdistance/man/autoDistSamp.Rd | 322 ++-- Rdistance-3.1.4/Rdistance/man/coef.dfunc.Rd | 94 - Rdistance-3.1.4/Rdistance/man/cosine.expansion.Rd | 96 - Rdistance-3.1.4/Rdistance/man/dfuncEstim.Rd | 10 Rdistance-3.1.4/Rdistance/man/dfuncSmu.Rd | 776 +++++----- Rdistance-3.1.4/Rdistance/man/effectiveDistance.Rd | 98 - Rdistance-3.1.4/Rdistance/man/estimateN.Rd | 246 +-- Rdistance-3.1.4/Rdistance/man/getDfuncModelFrame.Rd | 54 Rdistance-3.1.4/Rdistance/man/halfnorm.like.Rd | 277 +-- Rdistance-3.1.4/Rdistance/man/hazrate.like.Rd | 280 +-- Rdistance-3.1.4/Rdistance/man/hermite.expansion.Rd | 92 - Rdistance-3.1.4/Rdistance/man/integration.constant.Rd | 196 +- Rdistance-3.1.4/Rdistance/man/isUnitless.Rd | 2 Rdistance-3.1.4/Rdistance/man/lines.dfunc.Rd | 134 - Rdistance-3.1.4/Rdistance/man/logistic.like.Rd | 322 ++-- Rdistance-3.1.4/Rdistance/man/logistic.start.limits.Rd | 100 - Rdistance-3.1.4/Rdistance/man/negexp.like.Rd | 204 +- Rdistance-3.1.4/Rdistance/man/plot.dfunc.Rd | 474 +++--- Rdistance-3.1.4/Rdistance/man/predict.dfunc.Rd | 276 +-- Rdistance-3.1.4/Rdistance/man/print.abund.Rd | 42 Rdistance-3.1.4/Rdistance/man/print.dfunc.Rd | 91 - Rdistance-3.1.4/Rdistance/man/secondDeriv.Rd | 164 +- Rdistance-3.1.4/Rdistance/man/simple.expansion.Rd | 90 - Rdistance-3.1.4/Rdistance/man/smu.like.Rd | 230 +- Rdistance-3.1.4/Rdistance/man/summary.abund.Rd |only Rdistance-3.1.4/Rdistance/man/summary.dfunc.Rd |only Rdistance-3.1.4/Rdistance/man/uniform.like.Rd | 216 +- Rdistance-3.1.4/Rdistance/man/uniform.start.limits.Rd | 100 - Rdistance-3.1.4/Rdistance/vignettes/Extended_dfuncEstim_Examples.Rmd | 8 Rdistance-3.1.4/Rdistance/vignettes/Rdistance_BeginnerLineTransect.Rmd | 2 81 files changed, 3767 insertions(+), 3954 deletions(-)
Title: Parallel Numerical Derivatives, Gradients, Jacobians, and
Hessians of Arbitrary Accuracy Order
Description: Numerical derivatives through finite-difference approximations
can be calculated using the 'pnd' package with parallel capabilities and
optimal step-size selection to improve accuracy. These functions facilitate
efficient computation of derivatives, gradients, Jacobians, and Hessians,
allowing for more evaluations to reduce the mathematical and machine errors.
Designed for compatibility with the 'numDeriv' package,
which has not received updates in several years, it introduces advanced features
such as computing derivatives of arbitrary order, improving
the accuracy of Hessian approximations by avoiding repeated differencing,
and parallelising slow functions on Windows, Mac, and Linux.
Author: Andrei Victorovitch Kostyrka [aut, cre]
Maintainer: Andrei Victorovitch Kostyrka <andrei.kostyrka@gmail.com>
Diff between pnd versions 0.0.8 dated 2025-03-06 and 0.0.9 dated 2025-03-11
DESCRIPTION | 6 MD5 | 61 ++-- NAMESPACE | 3 NEWS.md | 8 R/gradient.R | 56 ++-- R/helpers.R | 34 ++ R/hessian.R | 338 +++++++++++++++++---------- R/step-select.R | 35 ++ R/zzz.R | 2 README.md | 2 build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 16 - inst/doc/compatibility-with-numDeriv.R | 28 +- inst/doc/compatibility-with-numDeriv.Rmd | 71 ++++- inst/doc/compatibility-with-numDeriv.html | 372 ++++++++++++++++-------------- inst/doc/fast-and-accurate.R | 62 ++--- inst/doc/fast-and-accurate.html | 8 inst/doc/step-size-selection.html | 8 man/GenD.Rd | 7 man/Grad.Rd | 3 man/Hessian.Rd | 48 ++- man/Jacobian.Rd | 16 + man/checkDimensions.Rd | 8 man/dupRowInds.Rd |only man/generateGrid.Rd | 3 man/generateGrid2.Rd |only man/stepx.Rd |only tests/testthat/Rplots.pdf |binary tests/testthat/test-Grad.R | 2 tests/testthat/test-Hessian.R | 22 + tests/testthat/test-helpers.R | 16 + vignettes/compatibility-with-numDeriv.Rmd | 71 ++++- 33 files changed, 823 insertions(+), 483 deletions(-)
Title: 'PCATS' API Client
Description: Provides an R interface to the 'PCATS' API
<https://pcats.research.cchmc.org/api/__docs__/>,
allowing R users to submit tasks and retrieve results.
Author: Bin Huang [aut] ,
Chen Chen [aut],
Michal Kouril [aut, cre]
Maintainer: Michal Kouril <michal.kouril@cchmc.org>
Diff between pcatsAPIclientR versions 1.1.0 dated 2023-06-22 and 1.2.0 dated 2025-03-11
DESCRIPTION | 22 +++++++++++++++------- MD5 | 18 +++++++++--------- NEWS.md | 4 ++++ R/job_status.R | 15 +++++++++------ R/ploturl.R | 12 ++++++++---- R/printgp.R | 12 ++++++++---- R/results.R | 12 ++++++++---- R/staticGP.R | 11 ++++++++--- R/uploadfile.R | 16 ++++++++++------ tests/testthat/test-staticgp.R | 13 ++++++++----- 10 files changed, 87 insertions(+), 48 deletions(-)
More information about pcatsAPIclientR at CRAN
Permanent link
Title: 'GNU Unifont' Hex Fonts
Description: Contains most of the hex font files from the 'GNU Unifont Project' <https://unifoundry.com/unifont/> compressed by 'xz'. 'GNU Unifont' is a duospaced bitmap font that attempts to cover all the official Unicode glyphs plus several of the artificial scripts in the '(Under-)ConScript Unicode Registry' <https://www.kreativekorp.com/ucsur/>. Provides a convenience function for loading in several of them at the same time as a 'bittermelon' bitmap font object for easy rendering of the glyphs in an 'R' terminal or graphics device.
Author: Trevor L. Davis [aut, cre] ,
GNU Unifont authors [cph]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>
Diff between hexfont versions 0.5.1 dated 2024-12-12 and 1.0.0 dated 2025-03-11
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 8 ++++++++ R/unifont.R | 23 +++++++++++++++-------- README.md | 2 +- inst/doc/hexfont.Rmd | 2 +- inst/doc/hexfont.html | 2 +- man/unifont.Rd | 15 ++++++++++----- tests/testthat/test-unifont.R | 2 +- vignettes/hexfont.Rmd | 2 +- 10 files changed, 50 insertions(+), 30 deletions(-)
Title: Statistical Methods for Survival Data with Dependent Censoring
Description: Several statistical methods for analyzing survival data under various forms of dependent
censoring are implemented in the package. In addition to accounting for dependent censoring, it
offers tools to adjust for unmeasured confounding factors. The implemented approaches allow
users to estimate the dependency between survival time and dependent censoring time, based
solely on observed survival data. For more details on the methods, refer to Deresa and Van
Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023)
<doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>,
Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Rutten et al. (2024+)
<doi:10.48550/arXiv.2403.11860> and Ding and Van Keilegom (2024).
Author: Ilias Willems [aut] ,
Gilles Crommen [aut] ,
Negera Wakgari Deresa [aut, cre]
,
Jie Ding [aut] ,
Claudia Czado [aut] ,
Ingrid Van Keilegom [aut]
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>
Diff between depCensoring versions 0.1.5 dated 2024-12-12 and 0.1.7 dated 2025-03-11
DESCRIPTION | 12 MD5 | 208 ++++++++---- NAMESPACE | 23 + NEWS.md | 6 R/BoundingCovariateEffects.R |only R/ParamTransfoCompRisks.R | 77 ++-- man/A_step.Rd |only man/Bspline.unit.interval.Rd |only man/Bvprob.Rd | 36 +- man/Chronometer.Rd |only man/CompC.Rd | 58 +-- man/D.hat.Rd |only man/DYJtrans.Rd | 44 +- man/Distance.Rd | 42 +- man/EAM.Rd |only man/EAM.converged.Rd |only man/EI.Rd |only man/E_step.Rd |only man/G.box.Rd |only man/G.cd.Rd |only man/G.cd.mc.Rd |only man/G.hat.Rd |only man/G.spline.Rd |only man/IYJtrans.Rd | 42 +- man/Kernel.Rd | 32 - man/Lambda_AFT_ll.Rd |only man/Lambda_Cox_wb.Rd |only man/Lambda_inverse_AFT_ll.Rd |only man/Lambda_inverse_Cox_wb.Rd |only man/LikCopInd.Rd | 66 +-- man/LikGamma1.Rd | 50 +-- man/LikGamma2.Rd | 50 +-- man/LikI.bis.Rd | 84 ++--- man/LikI.cmprsk.Cholesky.Rd | 110 +++--- man/LikI.cmprsk.Rd | 90 ++--- man/Likelihood.Parametric.Rd | 48 +- man/Likelihood.Profile.Kernel.Rd | 48 +- man/Likelihood.Profile.Solve.Rd | 92 ++--- man/Likelihood.Semiparametric.Rd | 68 ++-- man/LongNPT.Rd | 36 +- man/Longfun.Rd | 40 +- man/MSpoint.Rd |only man/M_step.Rd |only man/NonParTrans.Rd | 150 ++++----- man/Omega.hat.Rd |only man/Parameters.Constraints.Rd | 36 +- man/PseudoL.Rd | 74 ++-- man/S.func.Rd |only man/ScoreEqn.Rd | 46 +- man/SearchIndicate.Rd | 32 - man/Sigma.hat.Rd |only man/SolveH.Rd | 58 +-- man/SolveHt1.Rd | 52 +-- man/SolveL.Rd | 142 ++++---- man/SolveLI.Rd | 116 +++--- man/SolveScore.Rd | 50 +-- man/SurvDC.GoF.Rd | 74 ++-- man/SurvDC.Rd | 550 ++++++++++++++++----------------- man/SurvFunc.CG.Rd | 48 +- man/SurvFunc.KM.Rd | 40 +- man/SurvMLE.Likelihood.Rd | 62 +-- man/SurvMLE.Rd | 62 +-- man/TCsim.Rd | 106 +++--- man/YJtrans.Rd | 40 +- man/boot.fun.Rd | 138 ++++---- man/boot.funI.Rd | 130 +++---- man/boot.nonparTrans.Rd | 62 +-- man/cbMV.Rd |only man/check.args.pisurv.Rd |only man/clear.plt.wdw.Rd |only man/control.arguments.Rd | 40 +- man/copdist.Archimedean.Rd | 40 +- man/cophfunc.Rd | 40 +- man/coppar.to.ktau.Rd | 32 - man/dD.hat.Rd |only man/dLambda_AFT_ll.Rd |only man/dLambda_Cox_wb.Rd |only man/dat.sim.reg.comp.risks.Rd | 110 +++--- man/dm.bar.Rd |only man/do.optimization.Mstep.Rd |only man/draw.sv.init.Rd |only man/estimate.cf.Rd | 56 +-- man/estimate.cmprsk.Rd | 10 man/feasible_point_search.Rd |only man/fitDepCens.Rd | 202 ++++++------ man/fitIndepCens.Rd | 190 +++++------ man/generator.Archimedean.Rd | 40 +- man/get.anchor.points.Rd |only man/get.cond.moment.evals.Rd |only man/get.cvLLn.Rd |only man/get.deriv.mom.func.Rd |only man/get.dmi.tens.Rd |only man/get.extra.Estep.points.Rd |only man/get.instrumental.function.evals.Rd |only man/get.mi.mat.Rd |only man/get.next.point.Rd |only man/get.starting.values.Rd |only man/get.test.statistic.Rd |only man/gridSearch.Rd |only man/gs.algo.bidir.Rd |only man/gs.binary.Rd |only man/gs.interpolation.Rd |only man/gs.regular.Rd |only man/insert.row.Rd |only man/ktau.to.coppar.Rd | 32 - man/lf.delta.beta1.Rd |only man/lf.ts.Rd |only man/likF.cmprsk.Cholesky.Rd | 78 ++-- man/likIFG.cmprsk.Cholesky.Rd | 96 ++--- man/log_transform.Rd | 36 +- man/loglike.clayton.unconstrained.Rd | 50 +-- man/loglike.frank.unconstrained.Rd | 50 +-- man/loglike.gaussian.unconstrained.Rd | 50 +-- man/loglike.gumbel.unconstrained.Rd | 50 +-- man/loglike.indep.unconstrained.Rd | 50 +-- man/m.bar.Rd |only man/normalize.covariates.Rd |only man/normalize.covariates2.Rd |only man/optimlikelihood.Rd | 54 +-- man/parafam.d.Rd | 40 +- man/parafam.p.Rd | 40 +- man/parafam.trunc.Rd | 36 +- man/pi.surv.Rd |only man/plot_addpte.Rd |only man/plot_addpte.eval.Rd |only man/plot_base.Rd |only man/power_transform.Rd | 40 +- man/set.EAM.hyperparameters.Rd |only man/set.GS.hyperparameters.Rd |only man/set.hyperparameters.Rd |only man/summary.depFit.Rd | 38 +- man/summary.indepFit.Rd | 38 +- man/test.point_Bei.Rd |only man/test.point_Bei_MT.Rd |only man/uniformize.data.Rd | 102 +++--- man/variance.cmprsk.Rd | 146 ++++---- tests/testthat.R | 24 - 137 files changed, 2677 insertions(+), 2563 deletions(-)
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical
models and returns the result as tidy data frames. These data frames are
ready to use with the 'ggplot2'-package. Effects and predictions can be
calculated for many different models. Interaction terms, splines and
polynomial terms are also supported. The main functions are ggpredict(),
ggemmeans() and ggeffect(). There is a generic plot()-method to plot the
results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] ,
Frederik Aust [ctb] ,
Sam Crawley [ctb] ,
Mattan S. Ben-Shachar [ctb] ,
Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>
Diff between ggeffects versions 2.2.0 dated 2025-02-05 and 2.2.1 dated 2025-03-11
ggeffects-2.2.0/ggeffects/R/johnson_neyman.R |only ggeffects-2.2.0/ggeffects/man/johnson_neyman.Rd |only ggeffects-2.2.0/ggeffects/tests/testthat/test-johnson_neyman.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-pool_comparisons.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-print_test_predictions.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-print_zero_inflation.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-test_predictions-formula.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-test_predictions-margin.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-test_predictions-mixed.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-test_predictions_emmeans.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-test_predictions_ggeffects.R |only ggeffects-2.2.0/ggeffects/tests/testthat/test-vcov.R |only ggeffects-2.2.1/ggeffects/DESCRIPTION | 6 +- ggeffects-2.2.1/ggeffects/MD5 | 26 ++-------- ggeffects-2.2.1/ggeffects/NAMESPACE | 3 - ggeffects-2.2.1/ggeffects/NEWS.md | 4 + ggeffects-2.2.1/ggeffects/build/vignette.rds |binary ggeffects-2.2.1/ggeffects/tests/testthat/test-betareg.R | 5 - ggeffects-2.2.1/ggeffects/tests/testthat/test-ggaverage.R | 9 --- ggeffects-2.2.1/ggeffects/tests/testthat/test-interval_re.R | 8 --- 20 files changed, 14 insertions(+), 47 deletions(-)
Title: Interpreted String Literals
Description: An implementation of interpreted string literals. Based on the
'glue' package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but
with a focus on efficiency and simplicity at a cost of flexibility.
Author: Tim Taylor [aut, cre] ,
Jim Hester [aut] ,
Jennifer Bryan [aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Diff between super versions 0.0.5 dated 2025-02-05 and 0.1.0 dated 2025-03-11
DESCRIPTION | 10 +- MD5 | 22 +++--- NEWS.md | 20 ++++- README.md | 12 --- build/partial.rdb |binary build/vignette.rds |binary inst/doc/super.R | 5 - inst/doc/super.Rmd | 23 ++++-- inst/doc/super.html | 174 +++++++++++++++------------------------------------ man/super-package.Rd | 4 - src/glue.c | 26 ++++--- vignettes/super.Rmd | 23 ++++-- 12 files changed, 131 insertions(+), 188 deletions(-)
Title: Easy Access to NetCDF Files with CF Metadata Conventions
Description: Network Common Data Form ('netCDF') files are widely used for
scientific data. Library-level access in R is provided through packages
'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and
makes the data and its attributes available as a set of R6 classes that are
informed by the Climate and Forecasting Metadata Conventions. Access to the
data uses standard R subsetting operators and common function forms.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>
Diff between ncdfCF versions 0.3.0 dated 2025-01-19 and 0.4.0 dated 2025-03-11
ncdfCF-0.3.0/ncdfCF/R/CFData.R |only ncdfCF-0.3.0/ncdfCF/R/CFVariableGeneric.R |only ncdfCF-0.3.0/ncdfCF/R/MemoryGroup.R |only ncdfCF-0.3.0/ncdfCF/man/CFData.Rd |only ncdfCF-0.3.0/ncdfCF/man/CFVariableGeneric.Rd |only ncdfCF-0.3.0/ncdfCF/man/MemoryGroup.Rd |only ncdfCF-0.3.0/ncdfCF/man/makeMemoryGroup.Rd |only ncdfCF-0.3.0/ncdfCF/man/sub-.CFVariableGeneric.Rd |only ncdfCF-0.4.0/ncdfCF/DESCRIPTION | 25 - ncdfCF-0.4.0/ncdfCF/LICENSE | 2 ncdfCF-0.4.0/ncdfCF/MD5 | 144 ++--- ncdfCF-0.4.0/ncdfCF/NAMESPACE | 9 ncdfCF-0.4.0/ncdfCF/NEWS.md | 27 + ncdfCF-0.4.0/ncdfCF/R/AOI.R | 6 ncdfCF-0.4.0/ncdfCF/R/CFArray.R |only ncdfCF-0.4.0/ncdfCF/R/CFAxis.R | 62 ++ ncdfCF-0.4.0/ncdfCF/R/CFAxisCharacter.R | 4 ncdfCF-0.4.0/ncdfCF/R/CFAxisDiscrete.R | 4 ncdfCF-0.4.0/ncdfCF/R/CFAxisNumeric.R | 13 ncdfCF-0.4.0/ncdfCF/R/CFAxisScalar.R | 51 +- ncdfCF-0.4.0/ncdfCF/R/CFAxisTime.R | 16 ncdfCF-0.4.0/ncdfCF/R/CFBounds.R | 28 + ncdfCF-0.4.0/ncdfCF/R/CFDataset.R | 29 - ncdfCF-0.4.0/ncdfCF/R/CFGridMapping.R | 512 ++++++++++---------- ncdfCF-0.4.0/ncdfCF/R/CFObject.R | 75 ++- ncdfCF-0.4.0/ncdfCF/R/CFResource.R | 12 ncdfCF-0.4.0/ncdfCF/R/CFVariable.R | 543 ++++++++++++++++++---- ncdfCF-0.4.0/ncdfCF/R/CFVariableBase.R |only ncdfCF-0.4.0/ncdfCF/R/CFVariableL3b.R | 42 - ncdfCF-0.4.0/ncdfCF/R/NCDimension.R | 13 ncdfCF-0.4.0/ncdfCF/R/NCGroup.R | 25 - ncdfCF-0.4.0/ncdfCF/R/NCObject.R | 156 +++++- ncdfCF-0.4.0/ncdfCF/R/VirtualGroup.R |only ncdfCF-0.4.0/ncdfCF/R/makeCFObjects.R | 72 ++ ncdfCF-0.4.0/ncdfCF/R/ncdfCF-package.R | 66 +- ncdfCF-0.4.0/ncdfCF/R/readCF.R | 133 ++--- ncdfCF-0.4.0/ncdfCF/R/utils.R | 102 +++- ncdfCF-0.4.0/ncdfCF/README.md | 90 ++- ncdfCF-0.4.0/ncdfCF/TODO | 31 - ncdfCF-0.4.0/ncdfCF/build/vignette.rds |binary ncdfCF-0.4.0/ncdfCF/inst/doc/R-CF.R | 37 + ncdfCF-0.4.0/ncdfCF/inst/doc/R-CF.Rmd | 452 +++++++++++++++++- ncdfCF-0.4.0/ncdfCF/inst/doc/R-CF.html | 513 ++++++++++++++++++++ ncdfCF-0.4.0/ncdfCF/inst/doc/Using_ncdfCF.R | 29 - ncdfCF-0.4.0/ncdfCF/inst/doc/Using_ncdfCF.Rmd | 53 +- ncdfCF-0.4.0/ncdfCF/inst/doc/Using_ncdfCF.html | 405 ++++++++-------- ncdfCF-0.4.0/ncdfCF/man/CFArray.Rd |only ncdfCF-0.4.0/ncdfCF/man/CFAuxiliaryLongLat.Rd | 6 ncdfCF-0.4.0/ncdfCF/man/CFAxis.Rd | 47 + ncdfCF-0.4.0/ncdfCF/man/CFAxisCharacter.Rd | 5 ncdfCF-0.4.0/ncdfCF/man/CFAxisDiscrete.Rd | 5 ncdfCF-0.4.0/ncdfCF/man/CFAxisLatitude.Rd | 5 ncdfCF-0.4.0/ncdfCF/man/CFAxisLongitude.Rd | 5 ncdfCF-0.4.0/ncdfCF/man/CFAxisNumeric.Rd | 8 ncdfCF-0.4.0/ncdfCF/man/CFAxisScalar.Rd | 27 - ncdfCF-0.4.0/ncdfCF/man/CFAxisTime.Rd | 13 ncdfCF-0.4.0/ncdfCF/man/CFAxisVertical.Rd | 5 ncdfCF-0.4.0/ncdfCF/man/CFBounds.Rd | 47 + ncdfCF-0.4.0/ncdfCF/man/CFDataset.Rd | 26 - ncdfCF-0.4.0/ncdfCF/man/CFGridMapping.Rd | 39 + ncdfCF-0.4.0/ncdfCF/man/CFLabel.Rd | 6 ncdfCF-0.4.0/ncdfCF/man/CFObject.Rd | 133 ++++- ncdfCF-0.4.0/ncdfCF/man/CFResource.Rd | 12 ncdfCF-0.4.0/ncdfCF/man/CFVariable.Rd | 162 +++++- ncdfCF-0.4.0/ncdfCF/man/CFVariableBase.Rd |only ncdfCF-0.4.0/ncdfCF/man/CFVariableL3b.Rd | 14 ncdfCF-0.4.0/ncdfCF/man/NCDimension.Rd | 24 ncdfCF-0.4.0/ncdfCF/man/NCGroup.Rd | 25 - ncdfCF-0.4.0/ncdfCF/man/NCObject.Rd | 137 +++++ ncdfCF-0.4.0/ncdfCF/man/NCUDT.Rd | 6 ncdfCF-0.4.0/ncdfCF/man/NCVariable.Rd | 6 ncdfCF-0.4.0/ncdfCF/man/VirtualGroup.Rd |only ncdfCF-0.4.0/ncdfCF/man/figures |only ncdfCF-0.4.0/ncdfCF/man/makeLatitudeAxis.Rd | 4 ncdfCF-0.4.0/ncdfCF/man/makeLongitudeAxis.Rd | 4 ncdfCF-0.4.0/ncdfCF/man/makeTimeAxis.Rd | 2 ncdfCF-0.4.0/ncdfCF/man/makeVirtualGroup.Rd |only ncdfCF-0.4.0/ncdfCF/man/ncdfCF-package.Rd | 69 ++ ncdfCF-0.4.0/ncdfCF/man/sub-.CFVariable.Rd |only ncdfCF-0.4.0/ncdfCF/vignettes/R-CF.Rmd | 452 +++++++++++++++++- ncdfCF-0.4.0/ncdfCF/vignettes/Using_ncdfCF.Rmd | 53 +- ncdfCF-0.4.0/ncdfCF/vignettes/datamodel-0.4.png |only 82 files changed, 3993 insertions(+), 1135 deletions(-)
Title: Assessment of Inconsistency in Meta-Analysis using Decision
Thresholds
Description: Assessment of inconsistency in meta-analysis by calculating the Decision Inconsistency index (DI) and the Across-Studies Inconsistency (ASI) index. These indices quantify inconsistency taking into account outcome-level decision thresholds.
Author: Bernardo Sousa-Pinto [cre, aut]
,
Rafael Jose Vieira [aut],
Manuel Marques-Cruz [aut],
James Steele [aut],
Guido Schwarzer [aut]
Maintainer: Bernardo Sousa-Pinto <bernardo@med.up.pt>
Diff between metainc versions 0.2-0 dated 2024-02-21 and 0.2-1 dated 2025-03-11
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- R/inc.R | 12 +++++++++--- R/metainc-package.R | 6 ++++++ R/sens_br.R | 6 ++++++ R/sens_dt.R | 6 ++++++ man/inc.Rd | 6 ++++++ man/metainc-package.Rd | 6 ++++++ man/sens_br.Rd | 6 ++++++ man/sens_dt.Rd | 6 ++++++ 10 files changed, 64 insertions(+), 16 deletions(-)
Title: Fast and Scalable Single Cell Differential Expression Analysis
using Mixed-Effects Models
Description: A fast and scalable linear mixed-effects model (LMM) estimation algorithm
for analysis of single-cell differential expression. The algorithm uses
summary-level statistics and requires less computer memory to fit the LMM.
Author: Changjiang Xu [aut, cre],
Gary Bader [aut]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>
Diff between FLASHMM versions 1.0.0 dated 2025-01-14 and 1.1.0 dated 2025-03-11
DESCRIPTION | 14 MD5 | 36 + NAMESPACE | 1 NEWS.md | 2 R/contrast.matrix.R |only R/lmm.R | 26 - R/lmmfit.R | 25 + R/lmmtest.R | 12 R/simuRNAseq.R | 21 - README.md | 134 +++---- build/vignette.rds |binary inst/doc/FLASHMM-vignette.R | 102 +++-- inst/doc/FLASHMM-vignette.Rmd | 122 +++--- inst/doc/FLASHMM-vignette.html | 739 ++++++++++++++++++++--------------------- man/contrast.matrix.Rd |only man/lmm.Rd | 17 man/lmmfit.Rd | 7 man/lmmtest.Rd | 4 man/simuRNAseq.Rd | 17 vignettes/FLASHMM-vignette.Rmd | 122 +++--- 20 files changed, 711 insertions(+), 690 deletions(-)
Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric'
data from Water Survey of Canada data sources (<https://dd.weather.gc.ca/hydrometric/csv/> and
<https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies tidy data principles.
Author: Sam Albers [aut, cre] ,
David Hutchinson [ctb],
Dewey Dunnington [ctb],
Ryan Whaley [ctb],
Province of British Columbia [cph],
Government of Canada [dtc],
Luke Winslow [rev] ,
Laura DeCicco [rev]
Maintainer: Sam Albers <sam.albers@gmail.com>
Diff between tidyhydat versions 0.7.0 dated 2024-10-04 and 0.7.1 dated 2025-03-11
DESCRIPTION | 6 MD5 | 144 ++++----- NEWS.md | 5 R/cli_style.R | 1 R/data.R | 3 R/download.R | 52 ++- R/hy-classes.R | 29 + R/hy.R | 210 ++++++++++--- R/hy_annual_instant_peaks.R | 73 ++-- R/hy_annual_stats.R | 119 ++++++- R/hy_daily.R | 23 - R/hy_daily_flows.R | 108 +++++- R/hy_daily_levels.R | 110 +++++-- R/hy_db.R | 4 R/hy_monthly_flows.R | 85 ++++- R/hy_monthly_levels.R | 88 ++++- R/hy_plot.R | 96 ++++-- R/hy_sed_daily_loads.R | 79 +++-- R/hy_sed_daily_suscon.R | 117 +++++-- R/hy_sed_monthly_loads.R | 98 ++++-- R/hy_sed_monthly_suscon.R | 103 +++++- R/hy_sed_samples.R | 95 ++++-- R/hy_sed_samples_psd.R | 62 ++-- R/hy_stations.R | 11 R/hy_stn_regulation.R | 15 R/realtime-classes.R | 5 R/realtime-webservice.R | 115 +++++-- R/realtime.R | 41 ++ R/realtime_plot.R | 105 +++++- R/utils-realtime.R | 63 +++- R/utils-search.R | 16 - R/utils.R | 143 ++++++--- R/zzz.R | 340 +++++++++++++++++----- README.md | 68 ++-- data/allstations.rda |binary data/hy_data_symbols.rda |binary data/hy_data_types.rda |binary inst/doc/tidyhydat_an_introduction.Rmd | 83 ++--- inst/doc/tidyhydat_an_introduction.html | 85 ++--- inst/doc/tidyhydat_example_analysis.Rmd | 14 inst/doc/tidyhydat_example_analysis.html | 18 - inst/doc/tidyhydat_hydat_db.Rmd | 11 inst/doc/tidyhydat_hydat_db.html | 13 man/figures/README-unnamed-chunk-8-1.png |binary tests/testthat/test-hy_db.R | 10 tests/testthat/test-realtime-webservice.R | 14 tests/testthat/test_date_check.R | 10 tests/testthat/test_download_realtime.R | 40 +- tests/testthat/test_hy_annual_instant_peaks.R | 69 ++-- tests/testthat/test_hy_annual_stats.R | 59 ++- tests/testthat/test_hy_daily.R | 5 tests/testthat/test_hy_daily_flows.R | 77 +++- tests/testthat/test_hy_daily_levels.R | 78 +++-- tests/testthat/test_hy_monthly_flows.R | 72 ++-- tests/testthat/test_hy_monthly_levels.R | 72 ++-- tests/testthat/test_hy_sed_daily_loads.R | 78 +++-- tests/testthat/test_hy_sed_daily_suscon.R | 78 +++-- tests/testthat/test_hy_sed_monthly_loads.R | 72 ++-- tests/testthat/test_hy_sed_monthly_suscon.R | 73 ++-- tests/testthat/test_hy_sed_samples.R | 73 ++-- tests/testthat/test_hy_sed_samples_psd.R | 73 ++-- tests/testthat/test_hy_stations.R | 59 ++- tests/testthat/test_hy_stn__.R | 4 tests/testthat/test_hy_stn_regulation.R | 69 ++-- tests/testthat/test_realtime_add_local_datetime.R | 20 + tests/testthat/test_search.R | 10 tests/testthat/test_station_choice.R | 40 ++ tests/testthat/test_utils.R | 3 vignettes/precompile.R | 31 -- vignettes/tidyhydat_an_introduction.Rmd | 83 ++--- vignettes/tidyhydat_example_analysis.Rmd | 14 vignettes/tidyhydat_hydat_db.Rmd | 11 vignettes/vignette-fig-pcrtile_plt-1.png |binary 73 files changed, 2848 insertions(+), 1305 deletions(-)
Title: Implementation of Sampling Formulas for the Unified Neutral
Model of Biodiversity and Biogeography, with or without Guild
Structure
Description: A collection of sampling formulas for the unified neutral
model of biogeography and biodiversity. Alongside the sampling
formulas, it includes methods to perform maximum likelihood
optimization of the sampling formulas, methods to generate data given
the neutral model, and methods to estimate the expected species
abundance distribution. Sampling formulas included in the GUILDS
package are the Etienne Sampling Formula (Etienne 2005), the guild
sampling formula, where guilds are assumed to differ in dispersal
ability (Janzen et al. 2015), and the guilds sampling formula
conditioned on guild size (Janzen et al. 2015).
Author: Thijs Janzen [aut, cre],
Bart Haegeman [ctb],
Franck Jabot [ctb],
Jerome Chave [ctb]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Diff between GUILDS versions 1.4.6 dated 2023-08-21 and 1.4.7 dated 2025-03-11
GUILDS-1.4.6/GUILDS/inst/doc/GUILDS.R |only GUILDS-1.4.6/GUILDS/inst/doc/GUILDS.Rmd |only GUILDS-1.4.6/GUILDS/inst/doc/GUILDS.html |only GUILDS-1.4.6/GUILDS/vignettes/GUILDS.Rmd |only GUILDS-1.4.7/GUILDS/DESCRIPTION | 41 - GUILDS-1.4.7/GUILDS/MD5 | 53 - GUILDS-1.4.7/GUILDS/R/Condition.R | 99 +-- GUILDS-1.4.7/GUILDS/R/ESF_function.R | 20 GUILDS-1.4.7/GUILDS/R/calc_sum_kda.R | 1 GUILDS-1.4.7/GUILDS/R/loglikelihood_guilds.R | 8 GUILDS-1.4.7/GUILDS/R/visualisation.R | 27 GUILDS-1.4.7/GUILDS/README.md | 8 GUILDS-1.4.7/GUILDS/build/vignette.rds |binary GUILDS-1.4.7/GUILDS/inst/CITATION |only GUILDS-1.4.7/GUILDS/inst/doc/Walkthrough.R |only GUILDS-1.4.7/GUILDS/inst/doc/Walkthrough.Rmd |only GUILDS-1.4.7/GUILDS/inst/doc/Walkthrough.html |only GUILDS-1.4.7/GUILDS/src/KDA_R.cpp | 282 -------- GUILDS-1.4.7/GUILDS/src/KDA_arm.h | 330 +++++----- GUILDS-1.4.7/GUILDS/tests/testthat/Rplots.pdf |binary GUILDS-1.4.7/GUILDS/tests/testthat/test-calcKDA.R | 2 GUILDS-1.4.7/GUILDS/tests/testthat/test-expected.SAD.Guilds.Conditional.R | 6 GUILDS-1.4.7/GUILDS/tests/testthat/test-expected.SAD.Guilds.R | 2 GUILDS-1.4.7/GUILDS/tests/testthat/test-expected.SAD.R | 2 GUILDS-1.4.7/GUILDS/tests/testthat/test-generate.Guilds.R | 4 GUILDS-1.4.7/GUILDS/tests/testthat/test-logLikelihood.ESF.R | 12 GUILDS-1.4.7/GUILDS/tests/testthat/test-logLikelihood.Guilds.Conditional.R | 25 GUILDS-1.4.7/GUILDS/tests/testthat/test-logLikelihood.Guilds.R | 6 GUILDS-1.4.7/GUILDS/tests/testthat/test-maxLikelihood.ESF.R | 12 GUILDS-1.4.7/GUILDS/tests/testthat/test-maxLikelihood.Guilds.Conditional.R | 95 +- GUILDS-1.4.7/GUILDS/tests/testthat/test-maxLikelihood.Guilds.R | 12 GUILDS-1.4.7/GUILDS/vignettes/Walkthrough.Rmd |only 32 files changed, 450 insertions(+), 597 deletions(-)
Title: Easily Create Production-Ready Rich Text Format (RTF) Tables and
Figures
Description: Create production-ready Rich Text Format (RTF) tables and figures
with flexible format.
Author: Yilong Zhang [aut],
Siruo Wang [aut],
Simiao Ye [aut],
Fansen Kong [aut],
Brian Lang [aut],
Benjamin Wang [aut, cre],
Nan Xiao [ctb],
Madhusudhan Ginnaram [ctb],
Ruchitbhai Patel [ctb],
Huei-Ling Chen [ctb],
Peikun Wu [ctb],
Uday Preetham Palukuru [c [...truncated...]
Maintainer: Benjamin Wang <benjamin.wang@merck.com>
Diff between r2rtf versions 1.1.3 dated 2025-02-28 and 1.1.4 dated 2025-03-11
DESCRIPTION | 6 +++--- MD5 | 13 +++++++------ NEWS.md | 12 ++++++++++++ R/assemble.R | 2 +- R/rtf_encode_figure.R | 1 + R/staticimports.R |only man/assemble_docx.Rd | 3 ++- tests/testthat/test-independent-testing-assemble.R | 1 + 8 files changed, 27 insertions(+), 11 deletions(-)
Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats'
ecosystem (<https://github.com/easystats/easystats>) and some extra themes,
geoms, and scales for 'ggplot2'. Color scales are based on
<https://materialui.co/>.
References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, ctb] ,
Dominique Makowski [aut, inv] ,
Indrajeet Patil [aut, cre] ,
Mattan S. Ben-Shachar [aut, ctb]
,
Brenton M. Wiernik [aut, ctb] ,
Philip Waggoner [aut, ctb] ,
Jeffrey R. Stevens [ctb] ,
Matthew Smith [rev],
Jakob Bossek [rev [...truncated...]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between see versions 0.10.0 dated 2025-01-22 and 0.11.0 dated 2025-03-11
DESCRIPTION | 28 - MD5 | 104 ++-- NAMESPACE | 1 NEWS.md | 28 + R/geom_binomdensity.R | 234 +++++----- R/plot.check_dag.R | 4 R/plot.dw_data_tabulate.R | 22 - R/plot.estimate_contrasts.R | 198 ++++----- R/plot.estimate_density.R | 558 +++++++++++++------------- R/plot.visualisation_recipe.R | 12 R/print.check_model.R | 5 R/scale_color_bluebrown.R | 400 +++++++++--------- R/scale_color_flat.R | 513 ++++++++++++----------- R/scale_color_material.R | 505 ++++++++++++----------- R/scale_color_metro.R | 491 +++++++++++----------- R/scale_color_okabeito.R | 465 ++++++++++----------- R/scale_color_pizza.R | 395 +++++++++--------- R/scale_color_see.R | 523 ++++++++++++------------ R/scale_color_social.R | 400 +++++++++--------- R/theme_abyss.R | 123 ++--- R/theme_azurelight.R |only R/theme_blackboard.R | 121 ++--- R/theme_lucid.R | 127 +++-- R/theme_modern.R | 272 ++++++------ R/theme_radar.R | 250 +++++------ inst/WORDLIST | 20 man/palette_bluebrown.Rd | 10 man/palette_flat.Rd | 10 man/palette_material.Rd | 10 man/palette_metro.Rd | 10 man/palette_okabeito.Rd | 10 man/palette_pizza.Rd | 4 man/palette_see.Rd | 10 man/palette_social.Rd | 10 man/plot.datawizard_table.Rd | 18 man/plot.see_estimate_contrasts.Rd | 2 man/scale_color_bluebrown.Rd | 28 - man/scale_color_flat.Rd | 40 + man/scale_color_material.Rd | 37 - man/scale_color_metro.Rd | 39 + man/scale_color_okabeito.Rd | 20 man/scale_color_pizza.Rd | 4 man/scale_color_see.Rd | 37 - man/scale_color_social.Rd | 41 + man/theme_abyss.Rd | 28 - man/theme_azurelight.Rd |only man/theme_blackboard.Rd | 30 - man/theme_lucid.Rd | 31 - man/theme_modern.Rd | 39 + man/theme_radar.Rd | 4 tests/testthat/test-plot.check_collinearity.R | 2 tests/testthat/test-plot.estimate_density.R | 38 + tests/testthat/test-vdiffr_scale_color.R | 202 ++++----- tests/testthat/test-vdiffr_themes.R | 183 +++++--- 54 files changed, 3540 insertions(+), 3156 deletions(-)
Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise
incidence from dated events for a defined time interval. Dates can be
provided in various standard formats. The class 'incidence2' is used to store
computed incidence and can be easily manipulated, subsetted, and plotted.
Author: Tim Taylor [aut, cre] ,
Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Diff between incidence2 versions 2.6.0 dated 2024-11-22 and 2.6.1 dated 2025-03-11
incidence2-2.6.0/incidence2/R/as.data.frame.R |only incidence2-2.6.0/incidence2/R/as.data.table.R |only incidence2-2.6.0/incidence2/R/as_incidence.R |only incidence2-2.6.0/incidence2/R/as_tibble.R |only incidence2-2.6.0/incidence2/R/mutate.R |only incidence2-2.6.0/incidence2/R/nest.R |only incidence2-2.6.0/incidence2/R/select.R |only incidence2-2.6.0/incidence2/R/summarise.R |only incidence2-2.6.0/incidence2/R/unnest.R |only incidence2-2.6.0/incidence2/R/unpack.R |only incidence2-2.6.0/incidence2/man/as.data.frame.incidence2.Rd |only incidence2-2.6.0/incidence2/man/as.data.table.incidence2.Rd |only incidence2-2.6.0/incidence2/man/as_incidence.Rd |only incidence2-2.6.0/incidence2/man/as_tibble.incidence2.Rd |only incidence2-2.6.0/incidence2/man/incidence_.Rd |only incidence2-2.6.0/incidence2/man/mutate.incidence2.Rd |only incidence2-2.6.0/incidence2/man/nest.incidence2.Rd |only incidence2-2.6.0/incidence2/man/regroup_.Rd |only incidence2-2.6.0/incidence2/man/summarise.incidence2.Rd |only incidence2-2.6.1/incidence2/DESCRIPTION | 14 incidence2-2.6.1/incidence2/MD5 | 51 incidence2-2.6.1/incidence2/NEWS.md | 11 incidence2-2.6.1/incidence2/R/coerce.R |only incidence2-2.6.1/incidence2/R/dplyr.R |only incidence2-2.6.1/incidence2/R/incidence.R | 187 --- incidence2-2.6.1/incidence2/R/regroup.R | 55 incidence2-2.6.1/incidence2/build/vignette.rds |binary incidence2-2.6.1/incidence2/inst/doc/incidence2.R | 34 incidence2-2.6.1/incidence2/inst/doc/incidence2.Rmd | 56 incidence2-2.6.1/incidence2/inst/doc/incidence2.html | 620 ++++------ incidence2-2.6.1/incidence2/man/as.Rd |only incidence2-2.6.1/incidence2/man/dplyr-verbs.Rd |only incidence2-2.6.1/incidence2/man/incidence.Rd | 45 incidence2-2.6.1/incidence2/man/incidence2-package.Rd | 2 incidence2-2.6.1/incidence2/man/reexports.Rd | 5 incidence2-2.6.1/incidence2/man/regroup.Rd | 15 incidence2-2.6.1/incidence2/tests/testthat/_snaps/plot/rolling_average_plot.png |binary incidence2-2.6.1/incidence2/vignettes/incidence2.Rmd | 56 38 files changed, 453 insertions(+), 698 deletions(-)
Title: "Smith-Pittman Community Detection Algorithm for 'igraph'
Objects (2024)"
Description: Implements the "Smith-Pittman" community detection algorithm
for network analysis using 'igraph' objects. This algorithm combines node
degree and betweenness centrality measures to identify communities within
networks, with a gradient evident in social partitioning. The package
provides functions for community detection, visualization, and analysis of
the resulting community structure. Methods are based on results from Smith,
Pittman and Xu (2024) <doi:10.48550/arXiv.2411.01394>.
Author: Benjamin Smith [aut, cre] ,
Tyler Pittman [aut] ,
Wei Xu [aut]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>
Diff between ig.degree.betweenness versions 0.1.0 dated 2024-11-11 and 0.1.1 dated 2025-03-11
DESCRIPTION | 7 ++++--- MD5 | 4 ++-- R/cluster_degree_betweenness.R | 4 ++-- 3 files changed, 8 insertions(+), 7 deletions(-)
More information about ig.degree.betweenness at CRAN
Permanent link
Title: Coordinated Networks Detection on Social Media
Description: Detects a variety of coordinated actions on social media and outputs the network of coordinated users along with related information.
Author: Nicola Righetti [aut, cre] ,
Paul Balluff [aut]
Maintainer: Nicola Righetti <nicola.righetti@uniurb.it>
Diff between CooRTweet versions 2.1.0 dated 2025-01-08 and 2.1.2 dated 2025-03-11
DESCRIPTION | 8 MD5 | 12 inst/doc/vignette.R | 43 +- inst/doc/vignette.Rmd | 35 + inst/doc/vignette.html | 1002 +++++++++++++++++++++++------------------------ vignettes/references.bib | 8 vignettes/vignette.Rmd | 35 + 7 files changed, 598 insertions(+), 545 deletions(-)
Title: Regional Vulnerability Index
Description: The Regional Vulnerability Index (RVI), a statistical measure of brain structural abnormality, quantifies an individual's similarity to the expected pattern (effect size) of deficits in schizophrenia (Kochunov P, Fan F, Ryan MC, et al. (2020) <doi:10.1002/hbm.25045>).
Author: Si Gao [aut, cre, dtc] ,
Peter Kochunov [aut, dtc, cph, fnd] ,
Kathryn Hatch [ctb, dtc] ,
Yizhou Ma [ctb, dtc] ,
Fatima Talib [ctb]
Maintainer: Si Gao <Si.Gao@uth.tmc.edu>
Diff between RVIpkg versions 0.3.2 dated 2023-05-12 and 0.3.3 dated 2025-03-11
DESCRIPTION | 16 ++++++++-------- MD5 | 24 ++++++++++++------------ R/EP.GM.R | 46 ++++++++++++++++++++++++---------------------- R/EP.Subcortical.R | 46 ++++++++++++++++++++++++---------------------- R/EP.WM.R | 46 +++++++++++++++++++++++----------------------- R/sysdata.rda |binary build/partial.rdb |binary data/EP.GM.rda |binary data/EP.Subcortical.rda |binary data/EP.WM.rda |binary man/EP.GM.Rd | 6 +++--- man/EP.Subcortical.Rd | 6 +++--- man/EP.WM.Rd | 6 ++---- 13 files changed, 99 insertions(+), 97 deletions(-)
Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] ,
European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>
Diff between rolog versions 0.9.20 dated 2025-02-15 and 0.9.21 dated 2025-03-11
rolog-0.9.20/rolog/src/crolog.cpp |only rolog-0.9.21/rolog/DESCRIPTION | 8 ++++---- rolog-0.9.21/rolog/MD5 | 10 +++++----- rolog-0.9.21/rolog/NEWS.md | 6 ++++++ rolog-0.9.21/rolog/inst/doc/rolog.html | 12 +++++------- rolog-0.9.21/rolog/src/Makevars | 4 ++-- rolog-0.9.21/rolog/src/rolog.cpp |only 7 files changed, 22 insertions(+), 18 deletions(-)
Title: QTL EM Algorithm Mapping and Hotspots Detection
Description: For QTL mapping, this package comprises several functions designed to execute diverse
tasks, such as simulating or analyzing data, calculating significance thresholds, and
visualizing QTL mapping results. The single-QTL or multiple-QTL method, which enables
the fitting and comparison of various statistical models, is employed to analyze the
data for estimating QTL parameters. The models encompass linear regression, permutation
tests, normal mixture models, and truncated normal mixture models. The Gaussian stochastic
process is utilized to compute significance thresholds for QTL detection on a genetic
linkage map within experimental populations. Two types of data, complete genotyping, and
selective genotyping data from various experimental populations, including backcross, F2,
recombinant inbred (RI) populations, and advanced intercrossed (AI) populations, are
considered in the QTL mapping analysis. For QTL hotspot detection, statistical methods can
be developed based on either utilizin [...truncated...]
Author: Ping-Yuan Chung [cre],
Chen-Hung Kao [aut],
Y.-T. Guo [aut],
H.-N. Ho [aut],
H.-I. Lee [aut],
P.-Y. Wu [aut],
M.-H. Yang [aut],
M.-H. Zeng [aut]
Maintainer: Ping-Yuan Chung <pychung@webmail.stat.sinica.edu.tw>
Diff between QTLEMM versions 3.0.0 dated 2025-02-21 and 3.0.1 dated 2025-03-11
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- R/LRTthre.R | 10 +++++----- 3 files changed, 11 insertions(+), 11 deletions(-)
Title: Reading and Writing Open Data Format Files
Description: The Open Data Format (ODF) is a new, non-proprietary, multilingual, metadata enriched, and zip-compressed data format with metadata structured in the Data Documentation Initiative (DDI) Codebook standard. This package allows reading and writing of data files in the Open Data Format (ODF) in R, and displaying metadata in different languages. For further information on the Open Data Format, see <https://opendataformat.github.io/>.
Author: Tom Hartl [aut, cre] ,
Claudia Saalbach [ctb]
Maintainer: Tom Hartl <thartl@diw.de>
Diff between opendataformat versions 2.1.3 dated 2025-02-11 and 2.2.0 dated 2025-03-11
opendataformat-2.1.3/opendataformat/inst/extdata/data.zip |only opendataformat-2.1.3/opendataformat/tests/testthat/testdata/data_special_values.zip |only opendataformat-2.1.3/opendataformat/tests/testthat/testdata/data_with_default.zip |only opendataformat-2.1.3/opendataformat/tests/testthat/testdata/data_with_missings.zip |only opendataformat-2.2.0/opendataformat/DESCRIPTION | 8 opendataformat-2.2.0/opendataformat/MD5 | 42 ++-- opendataformat-2.2.0/opendataformat/NAMESPACE | 2 opendataformat-2.2.0/opendataformat/R/merge.R | 2 opendataformat-2.2.0/opendataformat/R/read_odf.R | 44 +++- opendataformat-2.2.0/opendataformat/R/write_odf.R | 37 +++- opendataformat-2.2.0/opendataformat/inst/doc/opendataformat.R | 24 -- opendataformat-2.2.0/opendataformat/inst/doc/opendataformat.Rmd | 24 -- opendataformat-2.2.0/opendataformat/inst/doc/opendataformat.html | 25 -- opendataformat-2.2.0/opendataformat/inst/extdata/data.odf.zip |only opendataformat-2.2.0/opendataformat/man/merge.odf_tbl.Rd | 2 opendataformat-2.2.0/opendataformat/man/read_odf.Rd | 2 opendataformat-2.2.0/opendataformat/man/write_odf.Rd | 15 - opendataformat-2.2.0/opendataformat/tests/testthat/test-as_odf_tbl.R | 2 opendataformat-2.2.0/opendataformat/tests/testthat/test-read-and-write-odf.R | 64 ++++-- opendataformat-2.2.0/opendataformat/tests/testthat/test-read_odf.R | 92 +++++++++- opendataformat-2.2.0/opendataformat/tests/testthat/test-write_odf.R | 71 +++++-- opendataformat-2.2.0/opendataformat/tests/testthat/testdata/data.odf.zip |only opendataformat-2.2.0/opendataformat/tests/testthat/testdata/data_special_values.odf.zip |only opendataformat-2.2.0/opendataformat/tests/testthat/testdata/data_with_default.odf.zip |only opendataformat-2.2.0/opendataformat/tests/testthat/testdata/data_with_missings.odf.zip |only opendataformat-2.2.0/opendataformat/tests/testthat/testdata/test_odf.odf.zip |only opendataformat-2.2.0/opendataformat/vignettes/opendataformat.Rmd | 24 -- 27 files changed, 307 insertions(+), 173 deletions(-)
More information about opendataformat at CRAN
Permanent link
Title: Mental Health Quality of Life Toolkit
Description: Transforms, calculates, and presents results from the Mental Health Quality of Life Questionnaire (MHQoL), a measure of health-related quality of life for individuals with mental health conditions. Provides scoring functions, summary statistics, and visualization tools to facilitate interpretation. For more details see van Krugten et al.(2022) <doi:10.1007/s11136-021-02935-w>.
Author: Stijn Peeters [aut, cre] ,
Frederick Thielen [aut]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>
Diff between MHQoL versions 0.12.0 dated 2025-03-04 and 0.13.0 dated 2025-03-11
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 6 +++--- R/shiny_mhqol.R | 6 +++--- inst/shiny/app.R | 8 ++++---- 5 files changed, 17 insertions(+), 17 deletions(-)
Title: Planning and Analyzing Dose Finding Experiments
Description: The DoseFinding package provides functions for the design and analysis
of dose-finding experiments (with focus on pharmaceutical Phase
II clinical trials). It provides functions for: multiple contrast
tests, fitting non-linear dose-response models (using Bayesian and
non-Bayesian estimation), calculating optimal designs and an
implementation of the MCPMod methodology (Pinheiro et al. (2014)
<doi:10.1002/sim.6052>).
Author: Bjoern Bornkamp [aut] ,
Jose Pinheiro [aut],
Frank Bretz [aut],
Ludger Sandig [aut],
Marius Thomas [aut, cre],
Novartis Pharma AG [cph, fnd]
Maintainer: Marius Thomas <marius.thomas@novartis.com>
Diff between DoseFinding versions 1.2-1 dated 2024-08-23 and 1.3-1 dated 2025-03-11
DESCRIPTION | 11 MD5 | 53 +-- NAMESPACE | 7 NEWS.md | 10 R/Mods.R | 110 ++++++- R/Mods_helpers.R | 61 ++- R/maFitMod.R |only R/optContr.R | 2 inst/doc/analysis_normal.R | 48 --- inst/doc/analysis_normal.Rmd | 67 +--- inst/doc/analysis_normal.html | 76 +--- inst/doc/binary_data.R | 55 --- inst/doc/binary_data.Rmd | 58 --- inst/doc/binary_data.html | 62 --- man/DoseFinding-package.Rd | 1 man/drmodels.Rd | 504 ++++++++++++++++---------------- man/fitMod.Rd | 528 +++++++++++++++++----------------- man/maFitMod.Rd |only man/targdose.Rd | 24 + tests/testthat/test-DesignMCPModApp.R |only tests/testthat/test-MCPMod.R |only tests/testthat/test-Mods.R |only tests/testthat/test-bFitMod.R |only tests/testthat/test-guesst.R | 29 + tests/testthat/test-maFitMod.R |only tests/testthat/test-optContr.R | 85 +++++ tests/testthat/test-optDesign.R | 131 ++++++++ tests/testthat/test-planMod.R | 63 ++++ tests/testthat/test-powMCT.R |only tests/testthat/test-sampSize.R |only vignettes/analysis_normal.Rmd | 67 +--- vignettes/binary_data.Rmd | 58 --- 32 files changed, 1141 insertions(+), 969 deletions(-)
Title: Web Application for the SSD Module of the MOSAIC Platform
Description: Web application using 'shiny' for the SSD (Species
Sensitivity Distribution) module of the MOSAIC (MOdeling and
StAtistical tools for ecotoxICology) platform. It estimates the
Hazardous Concentration for x% of the species (HCx) from toxicity
values that can be censored and provides various plotting options for
a better understanding of the results. See our companion paper
Kon Kam King et al. (2014) <doi:10.48550/arXiv.1311.5772>.
Author: Aurelie Siberchicot [cre, aut]
,
Milena Kaag [aut],
Sandrine Charles [aut] ,
UMR5558 LBBE MEPS [cph, fnd],
rhandsontable contributors [ctb, cph]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Diff between ssd4mosaic versions 1.0.1 dated 2024-03-19 and 1.0.3 dated 2025-03-11
DESCRIPTION | 18 ++- MD5 | 34 +++--- NEWS.md | 10 + R/app_server.R | 8 + R/app_ui.R | 18 +-- R/data.R | 8 - R/fct_shiny_outputs.R | 38 +++++++ build/partial.rdb |only build/vignette.rds |binary inst/doc/R_functions.R | 14 +- inst/doc/R_functions.html | 239 ++++++++++++++++++++++++---------------------- inst/doc/ssd4mosaic.R | 12 +- inst/doc/ssd4mosaic.html | 157 +++++++++++++++--------------- inst/golem-config.yml | 2 man/endosulfan.Rd | 2 man/fluazinam.Rd | 2 man/get_custom_HCx.Rd |only man/salinity_family.Rd | 2 man/salinity_order.Rd | 2 19 files changed, 325 insertions(+), 241 deletions(-)
Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in
tabular data such as primary and secondary cell suppression as described for example
in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>
Diff between sdcTable versions 0.32.6 dated 2023-08-11 and 0.32.7 dated 2025-03-11
sdcTable-0.32.6/sdcTable/vignettes/sdcTable_cache/html/unnamed-chunk-32_adfac3dc07ab317b19986b06b8233739.RData |only sdcTable-0.32.6/sdcTable/vignettes/sdcTable_cache/html/unnamed-chunk-32_adfac3dc07ab317b19986b06b8233739.rdb |only sdcTable-0.32.6/sdcTable/vignettes/sdcTable_cache/html/unnamed-chunk-32_adfac3dc07ab317b19986b06b8233739.rdx |only sdcTable-0.32.7/sdcTable/DESCRIPTION | 9 +- sdcTable-0.32.7/sdcTable/MD5 | 16 ++-- sdcTable-0.32.7/sdcTable/R/tauBatch_helpers.R | 21 +++++ sdcTable-0.32.7/sdcTable/build/vignette.rds |binary sdcTable-0.32.7/sdcTable/inst/doc/sdcTable.R | 36 +++++----- sdcTable-0.32.7/sdcTable/inst/doc/sdcTable.html | 27 +++---- sdcTable-0.32.7/sdcTable/vignettes/sdcTable_cache/html/unnamed-chunk-32_d5c44a25ead43becb45126a76d0489b5.RData |only sdcTable-0.32.7/sdcTable/vignettes/sdcTable_cache/html/unnamed-chunk-32_d5c44a25ead43becb45126a76d0489b5.rdb |only sdcTable-0.32.7/sdcTable/vignettes/sdcTable_cache/html/unnamed-chunk-32_d5c44a25ead43becb45126a76d0489b5.rdx |only 12 files changed, 63 insertions(+), 46 deletions(-)
Title: Log-Concave Density Estimation in Arbitrary Dimensions
Description: Software for computing a log-concave (maximum likelihood) estimator for independent and identically distributed data in any number of dimensions. For a detailed description of the method see Cule, Samworth and Stewart (2010, Journal of Royal Statistical Society Series B, <doi:10.1111/j.1467-9868.2010.00753.x>).
Author: Madeleine Cule [aut],
Robert Gramacy [aut],
Richard Samworth [aut],
Yining Chen [aut, cre],
Lutz Duembgen [ctb] ,
Vikneswaran Gopal [ctb] ,
George Casella [ctb] ,
C. Bradford Barber [cph] ,
The Geometry Center [cph],
Kai Habel [cph] ,
Raoul Grasman [ [...truncated...]
Maintainer: Yining Chen <y.chen101@lse.ac.uk>
Diff between LogConcDEAD versions 1.6-10 dated 2024-09-11 and 1.6-11 dated 2025-03-11
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- NEWS | 1 + inst/doc/LogConcDEAD.pdf |binary src/global.c | 4 ++-- src/io.c | 2 +- src/qset.c | 6 +++--- src/qset.h | 6 ++++++ src/stat.c | 10 +++++----- 9 files changed, 30 insertions(+), 23 deletions(-)
Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient
Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a
non-parametric method inspired by geometric principles, for fitting spline regression
models with variable knots in one or two independent variables. It efficiently estimates
the number of knots and their positions, as well as the spline order, assuming the
response variable follows a distribution from the exponential family. GeDS models
integrate the broader category of Generalized (Non-)Linear Models, offering a flexible
approach to modeling complex relationships. A description of the method can be found in
Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023)
<doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation
includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB),
enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova [aut],
Vladimir K. Kaishev [aut],
Andrea Lattuada [aut],
Emilio L. Saenz Guillen [aut, cre],
Richard J. Verrall [aut]
Maintainer: Emilio L. Saenz Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>
Diff between GeDS versions 0.2.6 dated 2025-02-10 and 0.2.7 dated 2025-03-11
GeDS-0.2.6/GeDS/R/Knotnew_R.R |only GeDS-0.2.7/GeDS/DESCRIPTION | 12 GeDS-0.2.7/GeDS/MD5 | 84 +- GeDS-0.2.7/GeDS/R/BivariateFitter.R | 68 -- GeDS-0.2.7/GeDS/R/GGeDS.R | 51 - GeDS-0.2.7/GeDS/R/GeDS-package.R | 16 GeDS-0.2.7/GeDS/R/GeDSClass.R | 6 GeDS-0.2.7/GeDS/R/IntegrateDerive.R | 28 GeDS-0.2.7/GeDS/R/NGeDS.R | 3 GeDS-0.2.7/GeDS/R/NGeDSboost.R | 8 GeDS-0.2.7/GeDS/R/NGeDSgam.R | 6 GeDS-0.2.7/GeDS/R/RcppExports.R | 20 GeDS-0.2.7/GeDS/R/S3methods.R | 5 GeDS-0.2.7/GeDS/R/S3methods_GeDSboost-GeDSgam.R | 24 GeDS-0.2.7/GeDS/R/SplineReg_Multivar.R | 6 GeDS-0.2.7/GeDS/R/SplineReg_biv.R | 26 GeDS-0.2.7/GeDS/R/UnivariateFitter.R | 17 GeDS-0.2.7/GeDS/R/cpp_functions_R.R |only GeDS-0.2.7/GeDS/R/cv_GeDSMethod.R | 206 ++++--- GeDS-0.2.7/GeDS/R/dynlib.R | 8 GeDS-0.2.7/GeDS/R/helpers.R | 7 GeDS-0.2.7/GeDS/R/lines_GeDSMethod.R | 28 GeDS-0.2.7/GeDS/R/plot_GeDSMethod.R | 671 +++++++++-------------- GeDS-0.2.7/GeDS/R/pprep.R | 237 ++++++++ GeDS-0.2.7/GeDS/data/CrystalData10k.rda |binary GeDS-0.2.7/GeDS/data/CrystalData300k.rda |binary GeDS-0.2.7/GeDS/man/CrystalData.Rd | 8 GeDS-0.2.7/GeDS/man/GGeDS.Rd | 41 - GeDS-0.2.7/GeDS/man/GeDS-class.Rd | 2 GeDS-0.2.7/GeDS/man/GeDS-package.Rd | 16 GeDS-0.2.7/GeDS/man/GeDSboost-class.Rd | 2 GeDS-0.2.7/GeDS/man/GeDSgam-class.Rd | 2 GeDS-0.2.7/GeDS/man/Integrate.Rd | 13 GeDS-0.2.7/GeDS/man/NGeDS.Rd | 3 GeDS-0.2.7/GeDS/man/NGeDSboost.Rd | 8 GeDS-0.2.7/GeDS/man/NGeDSgam.Rd | 4 GeDS-0.2.7/GeDS/man/PPolyRep.Rd | 2 GeDS-0.2.7/GeDS/man/UnivariateFitters.Rd | 5 GeDS-0.2.7/GeDS/man/crossv_GeDS.Rd | 50 + GeDS-0.2.7/GeDS/man/plot-GeDS-method.Rd | 8 GeDS-0.2.7/GeDS/man/plot-GeDSboost-method.Rd | 8 GeDS-0.2.7/GeDS/man/predict.GeDSboost_GeDSgam.Rd | 21 GeDS-0.2.7/GeDS/src/GeDS1.cpp | 540 +++++++++--------- GeDS-0.2.7/GeDS/src/RcppExports.cpp | 67 +- 44 files changed, 1295 insertions(+), 1042 deletions(-)
Title: Conditional Process Analysis (CPA) via SEM Approach
Description: Utilizes the Reliability-Adjusted Product Indicator (RAPI) method to
estimate effects among latent variables, thus allowing for more precise definition and analysis of
mediation and moderation models. Our simulation studies reveal that while 'silp' may exhibit
instability with smaller sample sizes and lower reliability scores (e.g., N = 100, 'omega' = 0.7),
implementing nearest positive definite matrix correction and bootstrap confidence interval
estimation can significantly ameliorate this volatility. When these adjustments are applied,
'silp' achieves estimations akin in quality to those derived from LMS. In conclusion, the 'silp'
package is a valuable tool for researchers seeking to explore complex relational structures between
variables without resorting to commercial software.
Cheung et al.(2021)<doi:10.1007/s10869-020-09717-0>
Hsiao et al.(2018)<doi:10.1177/0013164416679877>.
Author: Yi-Hsuan Tseng [aut, cre],
Po-Hsien Huang [aut]
Maintainer: Yi-Hsuan Tseng <r12227115@g.ntu.edu.tw>
Diff between silp versions 1.0.0 dated 2024-08-23 and 1.0.1 dated 2025-03-11
DESCRIPTION | 27 + LICENSE | 4 MD5 | 32 +- NAMESPACE | 22 - NEWS.md | 13 R/defclass.R | 163 +++++----- R/generate_data.R | 158 +++++----- R/generate_data2.R | 100 +++--- R/resilp.R | 154 ++++----- R/silp.R | 363 ++++++++++++----------- R/utility.R | 756 ++++++++++++++++++++++++------------------------- README.md | 89 +++-- man/Silp-class.Rd | 76 ++-- man/generate_data.Rd | 92 ++--- man/resilp.Rd | 78 ++--- man/silp.Rd | 92 ++--- man/summary-methods.Rd | 26 - 17 files changed, 1146 insertions(+), 1099 deletions(-)
Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph],
Yann Collet [ctb, cph] ,
Facebook, Inc. [cph] ,
Reichardt Tino [ctb, cph] ,
Skibinski Przemyslaw [ctb, cph] ,
Mori Yuta [ctb, cph] ,
Romain Francois [ctb, cph] ,
Francesc Alted [ctb, cph] ,
Bryce Chamberlain [ctb] ,
Sal [...truncated...]
Maintainer: Travers Ching <traversc@gmail.com>
Diff between qs versions 0.27.2 dated 2024-10-01 and 0.27.3 dated 2025-03-11
ChangeLog | 3 +++ DESCRIPTION | 8 ++++---- MD5 | 6 +++--- src/qs_common.h | 4 ++-- 4 files changed, 12 insertions(+), 9 deletions(-)
Title: Australian Popular Baby Names
Description: Data on the most popular baby names by sex and year, and for each state in Australia, as provided by the state and territory governments. The quality and quantity of the data varies with the state.
Author: Rob Hyndman [aut, cre, cph] ,
Mitchell O'Hara-Wild [aut] ,
Jessie Roberts [aut],
Nick Tierney [aut] ,
Anna Fergusson [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Diff between ozbabynames versions 0.1.0 dated 2024-10-25 and 0.2.0 dated 2025-03-11
DESCRIPTION | 6 MD5 | 20 +-- NEWS.md | 4 R/ozbabynames.R | 8 - README.md | 119 ++++++++++++------ data/ozbabynames.rda |binary man/figures/README-animate-explore-author-names-1.gif |binary man/figures/README-example-plot-1.png |binary man/figures/README-explore-author-names-1.png |binary man/ozbabynames.Rd | 8 - tests/testthat/test-ozbabynames.R | 2 11 files changed, 109 insertions(+), 58 deletions(-)
Title: Implementation of Learning Gamma CUSUM (Cumulative Sum) Control
Charts
Description: Implements Cumulative Sum (CUSUM) control charts specifically
designed for monitoring processes following a Gamma distribution. Provides
functions to estimate distribution parameters, simulate control limits, and
apply cautious learning schemes for adaptive thresholding. It supports
upward and downward monitoring with guaranteed performance evaluated via
Monte Carlo simulations. It is useful for quality control applications in
industries where data follows a Gamma distribution. Methods are based on
Madrid-Alvarez et al. (2024) <doi:10.1002/qre.3464> and Madrid-Alvarez et
al. (2024) <doi:10.1080/08982112.2024.2440368>.
Author: Harold Manuel Madrid-Alvarez [aut, cre]
Maintainer: Harold Manuel Madrid-Alvarez <harold.madrid@unisimon.edu.co>
Diff between LGCU versions 0.1.2 dated 2025-03-10 and 0.1.4 dated 2025-03-11
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- NEWS.md | 2 +- 3 files changed, 7 insertions(+), 7 deletions(-)
Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes,
including general, symmetric, triangular, and diagonal matrices
with numeric, logical, or pattern entries. Efficient methods for
operating on such matrices, often wrapping the 'BLAS', 'LAPACK',
and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] ,
Martin Maechler [aut, cre] ,
Mikael Jagan [aut] ,
Timothy A. Davis [ctb] ,
pattern="License", full.names=TRUE, recursive=TRUE)),
George Karypis [ctb] ,
Jason Riedy [ctb] and onenormest, Copyright: Regents of the
University of C [...truncated...]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>
Diff between Matrix versions 1.7-2 dated 2025-01-23 and 1.7-3 dated 2025-03-11
DESCRIPTION | 8 ++--- MD5 | 30 ++++++++++----------- R/Ops.R | 47 +++++++++++++++++++++----------- inst/NEWS.Rd | 14 +++++++++ inst/doc/Comparisons.pdf |binary inst/doc/Design-issues.pdf |binary inst/doc/Intro2Matrix.pdf |binary inst/doc/Introduction.pdf |binary inst/doc/sparseModels.pdf |binary inst/include/Matrix/version.h | 8 ++--- man/ldenseMatrix-class.Rd | 2 + man/lsparseMatrix-class.Rd | 1 man/sparseVector-class.Rd | 2 + src/utils-R.c | 4 +- src/version.h | 4 +- tests/group-methods.R | 60 ++++++++++++++++++++++++++++-------------- 16 files changed, 118 insertions(+), 62 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-03-06 0.1.5
2024-11-26 0.1.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-01-21 0.1.0