Title: Fit the Regularized Gehan Estimator with Elastic Net and Sparse
Group Lasso Penalties
Description: The semiparametric accelerated failure time (AFT) model is an attractive alternative to the Cox proportional hazards model. This package provides a suite of functions for fitting one popular estimator of the semiparametric AFT model, the regularized Gehan estimator. Specifically, we provide functions for cross-validation, prediction, coefficient extraction, and visualizing both trace plots and cross-validation curves. For further details, please see Suder, P. M. and Molstad, A. J., (2022+) Scalable algorithms for semiparametric accelerated failure time models in high dimensions, to appear in Statistics in Medicine <doi:10.1002/sim.9264>.
Author: Aaron J. Molstad [aut, cre] ,
Piotr M. Suder [aut]
Maintainer: Aaron J. Molstad <amolstad@ufl.edu>
Diff between penAFT versions 0.2.0 dated 2022-01-25 and 0.3.0 dated 2023-04-17
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- R/ADMM.ENpath.R | 24 ++++++++++++------------ R/ADMM.SGpath.R | 45 +++++++++++++++++---------------------------- R/penAFT.aux.R | 22 +++++++++++----------- R/penAFT.cv.R | 6 +++--- README.md | 6 +++++- man/penAFT.cv.Rd | 4 ++-- man/penAFT.predict.Rd | 4 ++-- 9 files changed, 63 insertions(+), 70 deletions(-)
Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions to fast computation of some matrices and operations
useful in statistics and econometrics. Currently, there are functions for efficient
computation of duplication, commutation and symmetrizer matrices with minimal storage
requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix
operations (for instance, Hadamard, Kronecker products and the Sherman-Morrison formula)
and iterative solvers for linear systems are also available. In addition, the package
includes a number of common statistical procedures such as the sweep operator, weighted
mean and covariance matrix using an online algorithm, linear regression (using Cholesky,
QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal
selection of the ridge parameter considering several procedures), functions to compute
the multivariate skewness, kurtosis, Mahalanobis distance (checking the positive
defineteness) and the Wilson-Hilferty transformation of chi squa [...truncated...]
Author: Felipe Osorio [aut, cre] ,
Alonso Ogueda [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>
Diff between fastmatrix versions 0.4-1245 dated 2022-10-07 and 0.5 dated 2023-04-17
ChangeLog | 7 +++ DESCRIPTION | 23 ++++-------- MD5 | 35 ++++++++++-------- NAMESPACE | 15 ++++---- R/jarque.bera.R |only R/moments.R | 14 +++---- R/power_method.R | 5 -- inst/CITATION | 21 +++++------ inst/include/fastmatrix.h | 2 - inst/include/fastmatrix_API.h | 10 ++--- man/jarquebera.test.Rd |only man/moments.Rd | 3 - src/R_init_fastmatrix.c | 5 ++ src/decasteljau.f | 2 - src/fastmatrix.h | 9 ++++ src/jarque_bera.c |only src/median_center.f | 1 src/power_method.c | 78 ++++++++++++++++++++++++++++++------------ src/ridge.c | 10 +---- src/stats.c | 6 +-- 20 files changed, 142 insertions(+), 104 deletions(-)
Title: TH's Data Archive
Description: Contains data sets used in other packages Torsten Hothorn
maintains.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between TH.data versions 1.1-1 dated 2022-04-26 and 1.1-2 dated 2023-04-17
DESCRIPTION | 12 ++++++------ MD5 | 18 +++++++++--------- build/partial.rdb |binary build/vignette.rds |binary data/geyser.rda |binary data/mammoexp.rda |binary demo/PROACT.R | 4 ++-- inst/doc/blood_loss_report.pdf |binary inst/rda/bloodloss.rda |binary man/birds.Rd | 1 - 10 files changed, 17 insertions(+), 18 deletions(-)
Title: Laser Ablation Blast Through Endpoint Detection
Description: Imports a data frame containing a single time resolved laser ablation mass spectrometry analysis of a foraminifera (or other carbonate shell), then detects when the laser has burnt through the foraminifera test as a function of change in signal over time.
Author: Alex Searle-Barnes [aut, cre]
Maintainer: Alex Searle-Barnes <c.j.a.searle-barnes@soton.ac.uk>
Diff between lablaster versions 0.0.1 dated 2022-06-23 and 1.0.1 dated 2023-04-17
DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- NEWS.md | 12 ++++++++---- R/data.R | 2 +- R/endPoint.R | 50 ++++++++++++++++++++++++++++---------------------- README.md | 16 ++++++++++------ man/coral6.Rd | 2 +- man/endPoint.Rd | 16 ++++++++-------- 8 files changed, 68 insertions(+), 54 deletions(-)
Title: 'ROI' Optimization Problems Based on 'NETLIB-LP'
Description: A collection of 'ROI' optimization problems based on the 'NETLIB-LP' collection.
'Netlib' is a software repository, which amongst many other software for scientific computing contains a collection of linear programming problems. The purpose of this package is to make
this problems easily accessible from 'R' as 'ROI' optimization problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Diff between ROI.models.netlib versions 1.1-1 dated 2020-08-29 and 1.1-2 dated 2023-04-17
DESCRIPTION | 15 ++- MD5 | 190 +++++++++++++++++++++++------------------------ inst/roi_op/adlittle.rds |binary inst/roi_op/afiro.rds |binary inst/roi_op/agg.rds |binary inst/roi_op/agg2.rds |binary inst/roi_op/agg3.rds |binary inst/roi_op/bandm.rds |binary inst/roi_op/beaconfd.rds |binary inst/roi_op/blend.rds |binary inst/roi_op/bnl1.rds |binary inst/roi_op/bnl2.rds |binary inst/roi_op/boeing1.rds |binary inst/roi_op/boeing2.rds |binary inst/roi_op/bore3d.rds |binary inst/roi_op/brandy.rds |binary inst/roi_op/capri.rds |binary inst/roi_op/cycle.rds |binary inst/roi_op/czprob.rds |binary inst/roi_op/d2q06c.rds |binary inst/roi_op/d6cube.rds |binary inst/roi_op/degen2.rds |binary inst/roi_op/degen3.rds |binary inst/roi_op/dfl001.rds |binary inst/roi_op/e226.rds |binary inst/roi_op/etamacro.rds |binary inst/roi_op/fffff800.rds |binary inst/roi_op/finnis.rds |binary inst/roi_op/fit1d.rds |binary inst/roi_op/fit1p.rds |binary inst/roi_op/fit2d.rds |binary inst/roi_op/fit2p.rds |binary inst/roi_op/forplan.rds |binary inst/roi_op/ganges.rds |binary inst/roi_op/gfrd.pnc.rds |binary inst/roi_op/greenbea.rds |binary inst/roi_op/greenbeb.rds |binary inst/roi_op/grow15.rds |binary inst/roi_op/grow22.rds |binary inst/roi_op/grow7.rds |binary inst/roi_op/israel.rds |binary inst/roi_op/kb2.rds |binary inst/roi_op/lotfi.rds |binary inst/roi_op/maros.r7.rds |binary inst/roi_op/maros.rds |binary inst/roi_op/modszk1.rds |binary inst/roi_op/nesm.rds |binary inst/roi_op/perold.rds |binary inst/roi_op/pilot.ja.rds |binary inst/roi_op/pilot.rds |binary inst/roi_op/pilot.we.rds |binary inst/roi_op/pilot4.rds |binary inst/roi_op/pilot87.rds |binary inst/roi_op/pilotnov.rds |binary inst/roi_op/recipe.rds |binary inst/roi_op/sc105.rds |binary inst/roi_op/sc205.rds |binary inst/roi_op/sc50a.rds |binary inst/roi_op/sc50b.rds |binary inst/roi_op/scagr25.rds |binary inst/roi_op/scagr7.rds |binary inst/roi_op/scfxm1.rds |binary inst/roi_op/scfxm2.rds |binary inst/roi_op/scfxm3.rds |binary inst/roi_op/scorpion.rds |binary inst/roi_op/scrs8.rds |binary inst/roi_op/scsd1.rds |binary inst/roi_op/scsd6.rds |binary inst/roi_op/scsd8.rds |binary inst/roi_op/sctap1.rds |binary inst/roi_op/sctap2.rds |binary inst/roi_op/sctap3.rds |binary inst/roi_op/seba.rds |binary inst/roi_op/share1b.rds |binary inst/roi_op/share2b.rds |binary inst/roi_op/shell.rds |binary inst/roi_op/ship04l.rds |binary inst/roi_op/ship04s.rds |binary inst/roi_op/ship08l.rds |binary inst/roi_op/ship08s.rds |binary inst/roi_op/ship12l.rds |binary inst/roi_op/ship12s.rds |binary inst/roi_op/sierra.rds |binary inst/roi_op/stair.rds |binary inst/roi_op/standata.rds |binary inst/roi_op/standmps.rds |binary inst/roi_op/stocfor1.rds |binary inst/roi_op/stocfor2.rds |binary inst/roi_op/stocfor3.rds |binary inst/roi_op/truss.rds |binary inst/roi_op/tuff.rds |binary inst/roi_op/vtp.base.rds |binary inst/roi_op/wood1p.rds |binary inst/roi_op/woodw.rds |binary inst/roi_op/x25fv47.rds |binary inst/roi_op/x80bau3b.rds |binary 96 files changed, 104 insertions(+), 101 deletions(-)
More information about ROI.models.netlib at CRAN
Permanent link
Title: Rasch Model Parameters by Pairwise Algorithm
Description: Performs the explicit calculation
-- not estimation! -- of the Rasch item parameters for dichotomous and
polytomous item responses, using a pairwise comparison approach. Person
parameters (WLE) are calculated according to Warm's weighted likelihood
approach.
Author: Joerg-Henrik Heine <jhheine@googlemail.com>
Maintainer: Joerg-Henrik Heine <jhheine@googlemail.com>
Diff between pairwise versions 0.6.0-0 dated 2022-08-25 and 0.6.1-0 dated 2023-04-17
DESCRIPTION | 10 MD5 | 34 +- NAMESPACE | 2 NEWS | 440 +++++++++++++++++----------------- R/pairwise.SepRel.R |only R/summary.pairwise.SepRel.R |only build/vignette.rds |binary data/DEU_PISA2012.RData |binary data/KCT.RData |binary data/Neoffi5.RData |binary data/bfiN.RData |binary data/bfiN_miss.RData |binary data/bfi_cov.RData |binary data/cog.RData |binary data/cogBOOKLET.RData |binary data/kft5.RData |binary data/sim200x3.RData |binary inst/doc/DEU_PISA2012_description.pdf |binary man/pairwise.SepRel.Rd |only man/summary.pairwiseSepRel.Rd |only 20 files changed, 248 insertions(+), 238 deletions(-)
Title: Creation of NEWS.md File
Description: Adding updates (version or bullet points) to the NEWS.md
file.
Author: Jakob Gepp [cre, aut]
Maintainer: Jakob Gepp <jakob.gepp@yahoo.de>
Diff between newsmd versions 0.4.0 dated 2022-02-16 and 0.5.1 dated 2023-04-17
DESCRIPTION | 10 +- MD5 | 29 +++---- NEWS.md | 20 ++++ R/combine_dev.R |only R/newsmd.R | 42 ++++++---- build/vignette.rds |binary inst/doc/NEWSMD-CREATION.Rmd | 2 inst/doc/NEWSMD-CREATION.html | 149 +++++++++++++++++++++--------------- man/combine_dev.Rd |only man/news.Rd | 55 +++++++------ man/newsmd.Rd | 2 tests/testthat.R | 2 tests/testthat/test-build.R | 31 ++++--- tests/testthat/test-combine_dev.R |only tests/testthat/test-get_version.R | 2 tests/testthat/test-news-creation.R | 10 +- vignettes/NEWSMD-CREATION.Rmd | 2 17 files changed, 215 insertions(+), 141 deletions(-)
Title: Predicting Categorical and Continuous Outcomes Using One in Ten
Rule
Description: Predicts categorical or continuous outcomes while concentrating on a number of key points. These are Cross-validation, Accuracy, Regression and Rule of Ten or "one in ten rule" (CARRoT), and, in addition to it R-squared statistics, prior knowledge on the dataset etc. It performs the cross-validation specified number of times by partitioning the input into training and test set and fitting linear/multinomial/binary regression models to the training set. All regression models satisfying chosen constraints are fitted and the ones with the best predictive power are given as an output. Best predictive power is understood as highest accuracy in case of binary/multinomial outcomes, smallest absolute and relative errors in case of continuous outcomes. For binary case there is also an option of finding a regression model which gives the highest AUROC (Area Under Receiver Operating Curve) value. The option of parallel toolbox is also available. Methods are described in Peduzzi et al. (1996) < [...truncated...]
Author: Alina Bazarova [aut, cre],
Marko Raseta [aut]
Maintainer: Alina Bazarova <al.bazarova@fz-juelich.de>
Diff between CARRoT versions 2.5.2 dated 2021-06-08 and 3.0.0 dated 2023-04-17
CARRoT-2.5.2/CARRoT/R/carrot_functions.R |only CARRoT-2.5.2/CARRoT/man/regr_whole.Rd |only CARRoT-3.0.0/CARRoT/DESCRIPTION | 14 +++---- CARRoT-3.0.0/CARRoT/MD5 | 47 ++++++++++++------------- CARRoT-3.0.0/CARRoT/NAMESPACE | 1 CARRoT-3.0.0/CARRoT/R/carrot_functions_rsq.R |only CARRoT-3.0.0/CARRoT/build/partial.rdb |binary CARRoT-3.0.0/CARRoT/man/AUC.Rd | 2 - CARRoT-3.0.0/CARRoT/man/av_out.Rd | 2 - CARRoT-3.0.0/CARRoT/man/comb.Rd | 2 - CARRoT-3.0.0/CARRoT/man/compute_max_length.Rd | 2 - CARRoT-3.0.0/CARRoT/man/compute_max_weight.Rd | 2 - CARRoT-3.0.0/CARRoT/man/compute_weights.Rd | 2 - CARRoT-3.0.0/CARRoT/man/cross_val.Rd | 36 ++++++++++++++++--- CARRoT-3.0.0/CARRoT/man/cub.Rd | 2 - CARRoT-3.0.0/CARRoT/man/find_int.Rd | 2 - CARRoT-3.0.0/CARRoT/man/find_sub.Rd | 2 - CARRoT-3.0.0/CARRoT/man/get_indices.Rd | 2 - CARRoT-3.0.0/CARRoT/man/get_predictions.Rd | 2 - CARRoT-3.0.0/CARRoT/man/get_predictions_lin.Rd | 14 ++++++- CARRoT-3.0.0/CARRoT/man/get_probabilities.Rd | 10 ++++- CARRoT-3.0.0/CARRoT/man/make_numeric.Rd | 2 - CARRoT-3.0.0/CARRoT/man/make_numeric_sets.Rd | 2 - CARRoT-3.0.0/CARRoT/man/quadr.Rd | 2 - CARRoT-3.0.0/CARRoT/man/regr_ind.Rd | 10 ++++- CARRoT-3.0.0/CARRoT/man/sum_weights_sub.Rd | 2 - 26 files changed, 104 insertions(+), 58 deletions(-)
Title: Analysis of Factorial Experiments
Description: Convenience functions for analyzing factorial experiments using ANOVA or
mixed models. aov_ez(), aov_car(), and aov_4() allow specification of
between, within (i.e., repeated-measures), or mixed (i.e., split-plot)
ANOVAs for data in long format (i.e., one observation per row),
automatically aggregating multiple observations per individual and cell
of the design. mixed() fits mixed models using lme4::lmer() and computes
p-values for all fixed effects using either Kenward-Roger or Satterthwaite
approximation for degrees of freedom (LMM only), parametric bootstrap
(LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs).
afex_plot() provides a high-level interface for interaction or one-way
plots using ggplot2, combining raw data and model estimates. afex uses
type 3 sums of squares as default (imitating commercial statistical software).
Author: Henrik Singmann [aut, cre] ,
Ben Bolker [aut],
Jake Westfall [aut],
Frederik Aust [aut] ,
Mattan S. Ben-Shachar [aut],
Soeren Hoejsgaard [ctb],
John Fox [ctb],
Michael A. Lawrence [ctb],
Ulf Mertens [ctb],
Jonathon Love [ctb],
Russell Lenth [ctb],
Rune [...truncated...]
Maintainer: Henrik Singmann <singmann@gmail.com>
Diff between afex versions 1.2-1 dated 2023-01-09 and 1.3-0 dated 2023-04-17
afex-1.2-1/afex/R/allFit.R |only afex-1.2-1/afex/man/all_fit.Rd |only afex-1.3-0/afex/DESCRIPTION | 10 afex-1.3-0/afex/MD5 | 133 +++- afex-1.3-0/afex/NAMESPACE | 11 afex-1.3-0/afex/NEWS | 12 afex-1.3-0/afex/R/afex-package.R | 1 afex-1.3-0/afex/R/afex_plot_plotting_functions.R | 2 afex-1.3-0/afex/R/aov_car.R | 29 - afex-1.3-0/afex/R/deprecated.R | 22 afex-1.3-0/afex/R/ems.R | 2 afex-1.3-0/afex/R/mixed.R | 9 afex-1.3-0/afex/R/predict.R | 2 afex-1.3-0/afex/R/zzz.R | 2 afex-1.3-0/afex/README.md | 133 ++-- afex-1.3-0/afex/build/partial.rdb |binary afex-1.3-0/afex/build/vignette.rds |binary afex-1.3-0/afex/inst/doc/afex_analysing_accuracy_data.R | 280 +++++---- afex-1.3-0/afex/inst/doc/afex_analysing_accuracy_data.Rmd | 289 +++++----- afex-1.3-0/afex/inst/doc/afex_analysing_accuracy_data.html | 114 ++- afex-1.3-0/afex/inst/doc/afex_anova_example.html | 58 +- afex-1.3-0/afex/inst/doc/afex_mixed_example.html | 16 afex-1.3-0/afex/inst/doc/afex_plot_introduction.R | 16 afex-1.3-0/afex/inst/doc/afex_plot_introduction.Rmd | 16 afex-1.3-0/afex/inst/doc/afex_plot_introduction.html | 40 - afex-1.3-0/afex/inst/doc/afex_plot_supported_models.R | 16 afex-1.3-0/afex/inst/doc/afex_plot_supported_models.Rmd | 16 afex-1.3-0/afex/inst/doc/afex_plot_supported_models.html | 20 afex-1.3-0/afex/inst/doc/assumptions_of_ANOVAs.html | 50 - afex-1.3-0/afex/inst/extdata/outputs_glmm_vignette.rda |binary afex-1.3-0/afex/inst/extdata/plots_brms.rda |binary afex-1.3-0/afex/inst/extdata/plots_rstanarm.rda |binary afex-1.3-0/afex/man/afex-package.Rd | 4 afex-1.3-0/afex/man/afex_plot.Rd | 43 - afex-1.3-0/afex/man/aov_car.Rd | 11 afex-1.3-0/afex/man/deprecated.Rd | 16 afex-1.3-0/afex/man/ems.Rd | 2 afex-1.3-0/afex/man/mixed.Rd | 2 afex-1.3-0/afex/tests/testthat/_snaps |only afex-1.3-0/afex/tests/testthat/afex_plot-brms.rda |only afex-1.3-0/afex/tests/testthat/afex_plot-rstanarm.rda |only afex-1.3-0/afex/tests/testthat/helper-vdiffr.R |only afex-1.3-0/afex/tests/testthat/test-afex_plot-basics.R | 254 +++++--- afex-1.3-0/afex/tests/testthat/test-afex_plot-bugs.R | 12 afex-1.3-0/afex/tests/testthat/test-afex_plot-default-support.R | 26 afex-1.3-0/afex/tests/testthat/test-afex_plot-vignette.R | 89 +-- afex-1.3-0/afex/tests/testthat/test-mixed-structure.R | 24 afex-1.3-0/afex/vignettes/afex_analysing_accuracy_data.Rmd | 289 +++++----- afex-1.3-0/afex/vignettes/afex_plot_introduction.Rmd | 16 afex-1.3-0/afex/vignettes/afex_plot_supported_models.Rmd | 16 50 files changed, 1118 insertions(+), 985 deletions(-)
Title: Sampling and Estimation Methods
Description: Functions to take samples of data, sample size estimation and getting useful estimators such as total, mean, proportion about its population using simple random sampling and stratified sampling.
Author: Javier Estevez [aut, cre, cph]
Maintainer: Javier Estevez <javier.estase@gmail.com>
Diff between samplingR versions 0.1.2 dated 2023-03-19 and 0.1.3 dated 2023-04-17
samplingR-0.1.2/samplingR/R/samplesize.R |only samplingR-0.1.2/samplingR/R/stratifiedestimator.R |only samplingR-0.1.2/samplingR/R/stratifiedsample.R |only samplingR-0.1.2/samplingR/man/samplesize.Rd |only samplingR-0.1.2/samplingR/man/stratifiedestimator.Rd |only samplingR-0.1.2/samplingR/man/stratifiedsample.Rd |only samplingR-0.1.3/samplingR/DESCRIPTION | 8 ++-- samplingR-0.1.3/samplingR/MD5 | 31 +++++++++++------- samplingR-0.1.3/samplingR/NAMESPACE | 13 +++++-- samplingR-0.1.3/samplingR/R/allocation.R |only samplingR-0.1.3/samplingR/R/srsdomainestimator.R | 14 ++++---- samplingR-0.1.3/samplingR/R/srssamplesize.R |only samplingR-0.1.3/samplingR/R/stratacostallocation.R |only samplingR-0.1.3/samplingR/R/stratacostsamplesize.R |only samplingR-0.1.3/samplingR/R/strataestimator.R |only samplingR-0.1.3/samplingR/R/stratasample.R |only samplingR-0.1.3/samplingR/R/stratasamplesize.R |only samplingR-0.1.3/samplingR/R/utils.R | 1 samplingR-0.1.3/samplingR/R/zzz.R |only samplingR-0.1.3/samplingR/man/allocation.Rd |only samplingR-0.1.3/samplingR/man/srsdomainestimator.Rd | 14 +++++--- samplingR-0.1.3/samplingR/man/srssamplesize.Rd |only samplingR-0.1.3/samplingR/man/stratacostallocation.Rd |only samplingR-0.1.3/samplingR/man/stratacostsamplesize.Rd |only samplingR-0.1.3/samplingR/man/strataestimator.Rd |only samplingR-0.1.3/samplingR/man/stratasample.Rd |only samplingR-0.1.3/samplingR/man/stratasamplesize.Rd |only 27 files changed, 53 insertions(+), 28 deletions(-)
Title: Robust and Sparse Correlation Matrix
Description: Performs robust and sparse correlation matrix estimation. Robustness is achieved based on a simple robust pairwise correlation estimator, while sparsity is obtained based on thresholding. The optimal thresholding is tuned via cross-validation. See Serra, Coretto, Fratello and Tagliaferri (2018) <doi:10.1093/bioinformatics/btx642>.
Author: Luca Coraggio [cre, aut],
Pietro Coretto [aut],
Angela Serra [aut],
Roberto Tagliaferri [ctb]
Maintainer: Luca Coraggio <luca.coraggio@unina.it>
Diff between RSC versions 2.0.2 dated 2022-06-20 and 2.0.4 dated 2023-04-17
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/rmad.R | 3 ++- inst/CITATION | 22 +++++++++++----------- 4 files changed, 20 insertions(+), 19 deletions(-)
Title: Spatial Data Download and Utility Functions
Description: A suite of conversion functions to create internally standardized
spatial polygons data frames. Utility functions use these data sets to
return values such as country, state, time zone, watershed, etc. associated
with a set of longitude/latitude pairs. (They also make cool maps.)
Author: Jonathan Callahan [aut, cre],
Rachel Carroll [aut],
Eli Grosman [aut],
Roger Andre [aut],
Tom Bergamaschi [aut],
Tina Chen [aut],
Ruby Fore [aut],
Will Leahy [aut],
Helen Miller [aut],
Henry Nguyen [aut],
Robin Winstanley [aut],
Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Diff between MazamaSpatialUtils versions 0.8.1 dated 2022-11-09 and 0.8.5 dated 2023-04-17
DESCRIPTION | 12 - MD5 | 53 ++--- NAMESPACE | 7 NEWS.md | 41 ++++ R/MazamaSpatialUtils.R | 8 R/convertTMWorldBorders.R | 2 R/convertWBDHUC.R |only R/getCountry.R | 3 R/getCountryCode.R | 3 R/getCountryName.R | 3 R/getHUC.R |only R/getHUCName.R |only R/getSpatialData.R | 13 + README.md | 153 ++++----------- inst/doc/Developer_Style_Guide.Rmd | 4 inst/doc/Developer_Style_Guide.html | 4 inst/doc/MazamaSpatialUtils.Rmd | 103 ++++------ inst/doc/MazamaSpatialUtils.html | 302 ++++++++++++++---------------- man/convertTMWorldBorders.Rd | 2 man/convertWBDHUC.Rd |only man/dissolve.Rd | 4 man/getCountry.Rd | 3 man/getCountryCode.Rd | 3 man/getCountryName.Rd | 3 man/getHUC.Rd |only man/getHUCName.Rd |only man/simplify.Rd | 4 tests/testthat/test-internalDataLoading.R |only vignettes/Developer_Style_Guide.Rmd | 4 vignettes/MazamaSpatialUtils.Rmd | 103 ++++------ vignettes/articles/available-data.Rmd | 13 - 31 files changed, 402 insertions(+), 448 deletions(-)
More information about MazamaSpatialUtils at CRAN
Permanent link
Title: Synthetic Population Generator
Description: Generates high-entropy integer synthetic populations from marginal and (optionally) seed data using quasirandom sampling,
in arbitrary dimensionality (Smith, Lovelace and Birkin (2017) <doi:10.18564/jasss.3550>).
The package also provides an implementation of the Iterative Proportional Fitting (IPF) algorithm (Zaloznik (2011) <doi:10.13140/2.1.2480.9923>).
Author: Andrew Smith [aut, cre],
Steven Johnson [ctb] ,
Massachusetts Institute of Technology [cph] ,
John Burkhardt [ctb, cph] ,
G Bhattacharjee [ctb]
Maintainer: Andrew Smith <andrew@friarswood.net>
Diff between humanleague versions 2.1.11 dated 2023-01-06 and 2.2.0 dated 2023-04-17
DESCRIPTION | 6 +++--- MD5 | 22 +++++++++++----------- src/Index.cpp | 4 +--- src/Index.h | 2 ++ src/Log.h | 5 +++-- src/Makevars | 1 - src/NDArray.h | 14 ++++++++------ src/NDArrayUtils.h | 1 + src/Sobol.cpp | 28 +++++++++++++++------------- src/Sobol.h | 30 +++++++++++++++++++----------- src/module.cpp | 45 ++++++++++++++++++++++++++++++++++++++++----- tests/testthat/test-all.R | 11 +++++------ 12 files changed, 108 insertions(+), 61 deletions(-)
Title: A Tool to Create HTML Tables
Description: A tool to create and style HTML tables with CSS. These can
be exported and used in any application that accepts HTML (e.g. 'shiny',
'rmarkdown', 'PowerPoint'). It also provides functions to create CSS files
(which also work with shiny).
Author: Theo Boutaris [aut, cre, cph],
Clemens Zauchner [aut],
Dana Jomar [aut]
Maintainer: Theo Boutaris <teoboot2007@hotmail.com>
Diff between tableHTML versions 2.1.1 dated 2022-12-07 and 2.1.2 dated 2023-04-17
DESCRIPTION | 6 MD5 | 16 - README.md | 4 inst/doc/conditional_column.html | 44 ++--- inst/doc/examples.html | 42 ++-- inst/doc/make_css.html | 4 inst/doc/tableHTML.html | 80 ++++----- inst/doc/themes.html | 198 +++++++++++------------ tests/testthat/test_make_css_colour_rank_theme.R | 56 +++--- 9 files changed, 229 insertions(+), 221 deletions(-)
Title: Design Clinical Trials using Sequential Predictive Probability
Monitoring
Description: Functions are available to calibrate designs over a range of posterior and predictive thresholds, to plot the various design options, and to obtain the operating characteristics of optimal accuracy and optimal efficiency designs.
Author: Emily C. Zabor [aut, cre] ,
Brian P. Hobbs [aut],
Michael J. Kane [aut]
Maintainer: Emily C. Zabor <zabore2@ccf.org>
Diff between ppseq versions 0.2.0 dated 2022-08-08 and 0.2.2 dated 2023-04-17
DESCRIPTION | 8 MD5 | 42 NAMESPACE | 2 NEWS.md | 60 R/calc_decision_rules.R | 5 R/calibrate_thresholds.R | 11 build/vignette.rds |binary data/one_sample_cal_tbl.rda |binary data/two_sample_cal_tbl.rda |binary data/two_sample_decision_tbl.rda |binary inst/WORDLIST | 1 inst/doc/one_sample_expansion.R | 6 inst/doc/one_sample_expansion.Rmd | 12 inst/doc/one_sample_expansion.html | 2116 ++++------ inst/doc/two_sample_randomized.R | 6 inst/doc/two_sample_randomized.Rmd | 22 inst/doc/two_sample_randomized.html | 2101 ++++----- tests/testthat/_snaps/calibrate_thresholds.md | 2 tests/testthat/_snaps/plot/plot-one-sample-decision-rules.svg | 68 tests/testthat/_snaps/plot/plot-two-sample-decision-rules.svg | 1164 ++--- vignettes/one_sample_expansion.Rmd | 12 vignettes/two_sample_randomized.Rmd | 22 22 files changed, 2729 insertions(+), 2931 deletions(-)
Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has
already an implementation in package 'Synth') are implemented: first,
'MSCMT' allows for using multiple outcome variables, second, time series
can be supplied as economic predictors, and third, a well-defined
cross-validation approach can be used.
Much effort has been taken to make the implementation as stable as possible
(including edge cases) without losing computational efficiency.
A detailed description of the main algorithms is given in
Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] ,
Stefan Kloeßner [aut],
Karline Soetaert [com],
Jack Dongarra [cph],
R.J. Hanson [cph],
K.H. Haskell [cph],
Cleve Moler [cph],
LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>
Diff between MSCMT versions 1.3.6 dated 2023-03-09 and 1.3.7 dated 2023-04-17
DESCRIPTION | 13 ++--- MD5 | 49 +++++++++---------- NEWS | 15 +++++ R/ModularOptimization.r | 44 +++++++++-------- R/atomOpt.r | 33 ++++++------- R/improveSynth.r | 42 ++-------------- R/listFromLong.r | 22 +++++--- R/mscmt.r | 14 ++--- R/multiOpt.r | 8 +-- build/partial.rdb |binary inst/doc/CheckingSynth.R | 62 +++++++++++++----------- inst/doc/CheckingSynth.Rmd | 62 +++++++++++++----------- inst/doc/CheckingSynth.html | 103 ++++++++++++++++++----------------------- inst/doc/UsingTimeSeries.R | 8 ++- inst/doc/UsingTimeSeries.Rmd | 8 ++- inst/doc/UsingTimeSeries.html | 33 ++++++++----- inst/doc/WorkingWithMSCMT.R | 8 ++- inst/doc/WorkingWithMSCMT.Rmd | 12 +++- inst/doc/WorkingWithMSCMT.html | 52 ++++++++++++-------- man/MSCMTfunction.Rd | 14 ++--- man/improveSynth.Rd | 42 ++-------------- man/listFromLong.Rd | 22 +++++--- vignettes/CheckingSynth.Rmd | 62 +++++++++++++----------- vignettes/UsingTimeSeries.Rmd | 8 ++- vignettes/WorkingWithMSCMT.Rmd | 12 +++- vignettes/synth.out.RData |only 26 files changed, 387 insertions(+), 361 deletions(-)
Title: Useful Functions for Data Processing
Description: In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything.
'baizer' provides data processing functions frequently used by the author.
Hope this package also knows what you want!
Author: William Song [aut, cre]
Maintainer: William Song <william_swl@163.com>
Diff between baizer versions 0.4.0 dated 2023-04-11 and 0.4.5 dated 2023-04-17
DESCRIPTION | 6 - MD5 | 39 ++++---- NAMESPACE | 7 + NEWS.md | 10 ++ R/IO.R | 16 --- R/dataframe.R | 147 ++++++++++++++++++++++++++++++ R/numbers.R | 144 ++++++++++++++++++----------- R/stat.R | 33 ++++-- R/utils-basic.R | 87 ++++++++++++++++++ README.md | 178 +++++++++++++++++++++++++++++-------- man/as_md_table.Rd |only man/as_tibble_md.Rd |only man/correct_ratio.Rd |only man/int_digits.Rd |only man/pileup_logical.Rd |only man/pkglib.Rd | 2 man/ref_level.Rd |only man/signif_round_string.Rd | 14 ++ man/stat_fc.Rd | 7 + man/uniq.Rd |only tests/testthat/_snaps/dataframe.md | 24 ++++ tests/testthat/test-dataframe.R | 28 +++++ tests/testthat/test-numbers.R | 98 +++++++++++++++++++- tests/testthat/test-utils-basic.R | 16 +++ 24 files changed, 710 insertions(+), 146 deletions(-)
Title: Kernel Machine Score Test for Semi-Competing Risks
Description: Kernel Machine Score Test for Pathway Analysis in the Presence of
Semi-Competing Risks. Method is detailed in: Neykov, Hejblum & Sinnott (2018)
<doi: 10.1177/0962280216653427>.
Author: Matey Neykov [aut],
Boris P Hejblum [aut, cre],
Jennifer A Sinnot [aut]
Maintainer: Boris P Hejblum <boris.hejblum@u-bordeaux.fr>
Diff between kernscr versions 1.0.5 dated 2019-08-20 and 1.0.6 dated 2023-04-17
DESCRIPTION | 12 ++++++------ MD5 | 22 +++++++++++----------- NEWS | 3 +++ R/kernscr-package.R | 4 ++-- R/vijver.R | 4 ++-- README.md | 8 +++----- man/cancer_pathways.Rd | 8 +++++--- man/compute_all_tests.Rd | 15 ++++++++++++--- man/findRhoInterval.Rd | 12 +++++++++--- man/kernscr-package.Rd | 4 ++-- man/plot_kernscr.Rd | 24 ++++++++++++++++++------ man/sim_SCR_data.Rd | 13 +++++++++++-- 12 files changed, 84 insertions(+), 45 deletions(-)
Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement
for the 'zip' function, that does not require any additional
external tools on any platform.
Author: Gabor Csardi, Kuba Podgorski, Rich Geldreich
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Diff between zip versions 2.2.2 dated 2022-10-26 and 2.3.0 dated 2023-04-17
DESCRIPTION | 6 - MD5 | 45 ++++++--- NAMESPACE | 2 NEWS.md | 18 +++ R/assertions.R | 5 + R/inflate.R |only R/process.R | 7 + R/utils.R | 30 ++++++ R/zip.R | 36 +++++-- README.md | 132 ++++++++++++++++++---------- man/deflate.Rd |only man/inflate.Rd |only man/zip.Rd | 17 ++- src/init.c | 4 src/miniz.c | 5 - src/rzip.c | 171 +++++++++++++++++++++++++++++++++++-- src/winutils.c | 2 src/zip.c | 28 ++++-- tests/testthat/_snaps |only tests/testthat/fixtures |only tests/testthat/test-get-zip-data.R | 5 - tests/testthat/test-inflate.R |only tests/testthat/test-large-files.R | 39 ++++++++ tests/testthat/test-special-dot.R |only tests/testthat/test-unzip.R | 18 +++ tests/testthat/test-weird-paths.R |only 26 files changed, 464 insertions(+), 106 deletions(-)
Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre] ,
Edward L. Ionides [aut] ,
Carles Breto [aut] ,
Stephen P. Ellner [ctb] ,
Matthew J. Ferrari [ctb],
Sebastian Funk [ctb] ,
Steven G. Johnson [ctb],
Bruce E. Kendall [ctb] ,
Michael Lavine [ctb],
Dao Nguyen [ctb] ,
Eamon B. O [...truncated...]
Maintainer: Aaron A. King <kingaa@umich.edu>
Diff between pomp versions 4.7 dated 2023-03-02 and 5.1 dated 2023-04-17
pomp-4.7/pomp/R/authors.R |only pomp-5.1/pomp/DESCRIPTION | 95 ++++++++++------------ pomp-5.1/pomp/MD5 | 146 +++++++++++++++++----------------- pomp-5.1/pomp/NAMESPACE | 4 pomp-5.1/pomp/R/abc.R | 4 pomp-5.1/pomp/R/as_data_frame.R | 12 -- pomp-5.1/pomp/R/bake.R | 18 +++- pomp-5.1/pomp/R/builder.R | 3 pomp-5.1/pomp/R/coef.R | 10 +- pomp-5.1/pomp/R/continue.R | 2 pomp-5.1/pomp/R/defunct.R | 14 --- pomp-5.1/pomp/R/distributions.R | 2 pomp-5.1/pomp/R/flow.R | 2 pomp-5.1/pomp/R/kalman.R | 8 - pomp-5.1/pomp/R/kf.R | 2 pomp-5.1/pomp/R/mcap.R | 2 pomp-5.1/pomp/R/melt.R | 15 +-- pomp-5.1/pomp/R/mif2.R | 30 ++++-- pomp-5.1/pomp/R/nlf.R | 15 ++- pomp-5.1/pomp/R/objfun.R | 32 +++++++ pomp-5.1/pomp/R/obs.R | 6 - pomp-5.1/pomp/R/parmat.R | 10 +- pomp-5.1/pomp/R/pfilter.R | 12 +- pomp-5.1/pomp/R/pmcmc.R | 16 ++- pomp-5.1/pomp/R/probe_match.R | 14 +-- pomp-5.1/pomp/R/rprocess_spec.R | 2 pomp-5.1/pomp/R/saved_states.R | 18 +--- pomp-5.1/pomp/R/skeleton_spec.R | 5 + pomp-5.1/pomp/R/spect.R | 13 ++- pomp-5.1/pomp/R/spect_match.R | 14 +-- pomp-5.1/pomp/R/states.R | 7 - pomp-5.1/pomp/R/traj_match.R | 20 ++-- pomp-5.1/pomp/README.md |only pomp-5.1/pomp/build/partial.rdb |binary pomp-5.1/pomp/data/LondonYorke.rda |binary pomp-5.1/pomp/data/bsflu.rda |binary pomp-5.1/pomp/data/ebolaWA2014.rda |binary pomp-5.1/pomp/data/ewcitmeas.rda |binary pomp-5.1/pomp/data/ewmeas.rda |binary pomp-5.1/pomp/inst/NEWS | 18 ++++ pomp-5.1/pomp/inst/NEWS.Rd | 11 ++ pomp-5.1/pomp/man/bake.Rd | 6 - pomp-5.1/pomp/man/continue.Rd | 6 - pomp-5.1/pomp/man/dacca.Rd | 2 pomp-5.1/pomp/man/distributions.Rd | 2 pomp-5.1/pomp/man/ebola.Rd | 32 +++---- pomp-5.1/pomp/man/kf.Rd | 2 pomp-5.1/pomp/man/load.Rd | 8 + pomp-5.1/pomp/man/logmeanexp.Rd | 10 +- pomp-5.1/pomp/man/macros/citations.Rd | 12 +- pomp-5.1/pomp/man/mcap.Rd | 2 pomp-5.1/pomp/man/mif2.Rd | 4 pomp-5.1/pomp/man/nlf.Rd | 13 +++ pomp-5.1/pomp/man/objfun.Rd | 13 +++ pomp-5.1/pomp/man/parmat.Rd | 2 pomp-5.1/pomp/man/parus.Rd | 2 pomp-5.1/pomp/man/pomp-defunct.Rd | 6 - pomp-5.1/pomp/man/prior_spec.Rd | 7 - pomp-5.1/pomp/man/probe_match.Rd | 13 +++ pomp-5.1/pomp/man/ricker.Rd | 2 pomp-5.1/pomp/man/skeleton_spec.Rd | 7 + pomp-5.1/pomp/man/spect_match.Rd | 13 +++ pomp-5.1/pomp/man/traj_match.Rd | 13 +++ pomp-5.1/pomp/man/trajectory.Rd | 2 pomp-5.1/pomp/man/verhulst.Rd | 2 pomp-5.1/pomp/src/emeasure.c | 4 pomp-5.1/pomp/src/euler.c | 2 pomp-5.1/pomp/src/pfilter.c | 2 pomp-5.1/pomp/src/rinit.c | 2 pomp-5.1/pomp/src/rmeasure.c | 4 pomp-5.1/pomp/src/rprior.c | 2 pomp-5.1/pomp/src/rprocess.c | 2 pomp-5.1/pomp/src/skeleton.c | 2 pomp-5.1/pomp/src/trajectory.c | 2 pomp-5.1/pomp/src/wpfilter.c | 2 75 files changed, 466 insertions(+), 321 deletions(-)
Title: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on
'omics' Data
Description: This tool takes longitudinal dataset as input and analyzes if there is significant
change of the features over time (a proxy for treatments), while detects and controls
for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input,
including count, proportion, binary, ordinal and continuous data. The output table contains
p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.
Author: Chia-Yu Chen [aut, cre] ,
Sofia Forslund [ctb]
Maintainer: Chia-Yu Chen <Chia-Yu.Chen@mdc-berlin.de>
Diff between LongDat versions 1.1.0 dated 2022-07-14 and 1.1.1 dated 2023-04-17
DESCRIPTION | 8 MD5 | 28 - NEWS.md | 4 R/longdat_cont.R | 6 R/longdat_disc.R | 6 README.md | 6 inst/CITATION | 14 inst/doc/LongDat_cont_tutorial.R | 1 inst/doc/LongDat_cont_tutorial.Rmd | 1 inst/doc/LongDat_cont_tutorial.html | 640 ++++++++++++++++++++++++++++++++--- inst/doc/LongDat_disc_tutorial.R | 1 inst/doc/LongDat_disc_tutorial.Rmd | 1 inst/doc/LongDat_disc_tutorial.html | 650 +++++++++++++++++++++++++++++++++--- vignettes/LongDat_cont_tutorial.Rmd | 1 vignettes/LongDat_disc_tutorial.Rmd | 1 15 files changed, 1232 insertions(+), 136 deletions(-)
Title: Colour Schemes for Scientific Data Visualization
Description: Colour schemes ready for each type of data (qualitative,
diverging or sequential), with colours that are distinct for all
people, including colour-blind readers. This package provides an
implementation of Paul Tol (2018) and Fabio Crameri (2018)
<doi:10.5194/gmd-11-2541-2018> colour schemes for use with 'graphics' or
'ggplot2'. It provides tools to simulate colour-blindness and to test
how well the colours of any palette are identifiable. Several
scientific thematic schemes (geologic timescale, land cover, FAO
soils, etc.) are also implemented.
Author: Nicolas Frerebeau [aut, cre] ,
Brice Lebrun [ctb] ,
Vincent Arel-Bundock [ctb] ,
Ulrik Stervbo [ctb]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Diff between khroma versions 1.9.0 dated 2022-06-18 and 1.10.0 dated 2023-04-17
khroma-1.10.0/khroma/DESCRIPTION | 20 - khroma-1.10.0/khroma/MD5 | 80 ++-- khroma-1.10.0/khroma/NEWS.md | 6 khroma-1.10.0/khroma/R/colour.R | 3 khroma-1.10.0/khroma/R/khroma-package.R | 7 khroma-1.10.0/khroma/R/scale_colour_crameri.R | 2 khroma-1.10.0/khroma/R/scale_colour_okabeito.R | 40 +- khroma-1.10.0/khroma/R/scale_colour_other.R | 2 khroma-1.10.0/khroma/R/scale_colour_science.R | 2 khroma-1.10.0/khroma/R/sysdata.rda |binary khroma-1.10.0/khroma/README.md | 67 ++- khroma-1.10.0/khroma/build/partial.rdb |binary khroma-1.10.0/khroma/build/vignette.rds |binary khroma-1.10.0/khroma/inst/CITATION | 26 - khroma-1.10.0/khroma/inst/doc/crameri.html | 217 ++++++------ khroma-1.10.0/khroma/inst/doc/tol.html | 197 +++++----- khroma-1.10.0/khroma/inst/examples/ex-okabeito-discrete.R | 4 khroma-1.10.0/khroma/man/colour.Rd | 3 khroma-1.10.0/khroma/man/figures/README-usage-plot-1.png |only khroma-1.10.0/khroma/man/figures/README-usage-plot-2.png |only khroma-1.10.0/khroma/man/figures/README-usage-show-1.png |only khroma-1.10.0/khroma/man/khroma-package.Rd | 7 khroma-1.10.0/khroma/man/scale_crameri_cyclic.Rd | 2 khroma-1.10.0/khroma/man/scale_land.Rd | 1 khroma-1.10.0/khroma/man/scale_logical_discrete.Rd | 17 khroma-1.10.0/khroma/man/scale_okabeito_discrete.Rd | 61 ++- khroma-1.10.0/khroma/man/scale_soil.Rd | 1 khroma-1.10.0/khroma/man/scale_stratigraphy.Rd | 3 khroma-1.10.0/khroma/man/scale_tol_bright.Rd | 1 khroma-1.10.0/khroma/man/scale_tol_dark.Rd | 1 khroma-1.10.0/khroma/man/scale_tol_highcontrast.Rd | 1 khroma-1.10.0/khroma/man/scale_tol_light.Rd | 1 khroma-1.10.0/khroma/man/scale_tol_mediumcontrast.Rd | 1 khroma-1.10.0/khroma/man/scale_tol_muted.Rd | 1 khroma-1.10.0/khroma/man/scale_tol_pale.Rd | 1 khroma-1.10.0/khroma/man/scale_tol_vibrant.Rd | 1 khroma-1.10.0/khroma/tests/testthat/_snaps/colour.md | 7 khroma-1.10.0/khroma/tests/testthat/test-colour.R | 12 khroma-1.10.0/khroma/tests/testthat/test-ggplot2-okabeito.R | 6 khroma-1.10.0/khroma/tests/testthat/test-ggraph-okabeito.R | 6 khroma-1.10.0/khroma/tests/testthat/test-plot.R | 37 -- khroma-1.9.0/khroma/man/figures/README-crayon.png |only khroma-1.9.0/khroma/man/figures/README-show-1.png |only khroma-1.9.0/khroma/man/figures/README-usage-ggplot2-1.png |only 44 files changed, 492 insertions(+), 352 deletions(-)
Title: Interpretable Subgroups Identification Through Ensemble Learning
of Causal Rules
Description: Provides an interpretable identification of subgroups with
heterogeneous causal effect. The heterogeneous subgroups are
discovered through ensemble learning of causal rules. Causal rules are
highly interpretable if-then statement that recursively partition the
features space into heterogeneous subgroups. A small number of
significant causal rules are selected through Stability Selection to
control for family-wise error rate in the finite sample setting. It
proposes various estimation methods for the conditional causal effects
for each discovered causal rule. It is highly flexible and multiple
causal estimands and imputation methods are implemented. Lee, K.,
Bargagli-Stoffi, F. J., & Dominici, F. (2020). Causal rule ensemble:
Interpretable inference of heterogeneous treatment effects. arXiv
preprint <arXiv:2009.09036>.
Author: Naeem Khoshnevis [aut, cre] ,
Daniela Maria Garcia [aut] ,
Riccardo Cadei [aut] ,
Kwonsang Lee [aut] ,
Falco Joannes Bargagli Stoffi [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>
Diff between CRE versions 0.2.1 dated 2023-03-17 and 0.2.2 dated 2023-04-17
CRE-0.2.1/CRE/tests/testthat/CRE.log |only CRE-0.2.2/CRE/DESCRIPTION | 6 +++--- CRE-0.2.2/CRE/MD5 | 7 +++---- CRE-0.2.2/CRE/NEWS.md | 7 +++++++ CRE-0.2.2/CRE/tests/testthat/test-discover_rules.R | 6 +++--- 5 files changed, 16 insertions(+), 10 deletions(-)
Title: Higher Level 'API' for 'torch'
Description: A high level interface for 'torch' providing utilities to reduce the
the amount of code needed for common tasks, abstract away torch details and
make the same code work on both the 'CPU' and 'GPU'. It's flexible enough to
support expressing a large range of models. It's heavily inspired by 'fastai' by
Howard et al. (2020) <arXiv:2002.04688>, 'Keras' by Chollet et al. (2015) and
'PyTorch Lightning' by Falcon et al. (2019) <doi:10.5281/zenodo.3828935>.
Author: Daniel Falbel [aut, cre, cph],
RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between luz versions 0.3.1 dated 2022-09-06 and 0.4.0 dated 2023-04-17
luz-0.3.1/luz/man/rmd/evaluate.html |only luz-0.4.0/luz/DESCRIPTION | 19 luz-0.4.0/luz/MD5 | 128 +++--- luz-0.4.0/luz/NAMESPACE | 9 luz-0.4.0/luz/NEWS.md | 31 + luz-0.4.0/luz/R/accelerator.R | 28 + luz-0.4.0/luz/R/callbacks-mixup.R | 73 +++ luz-0.4.0/luz/R/callbacks-monitor-metrics.R | 10 luz-0.4.0/luz/R/callbacks-profile.R | 28 - luz-0.4.0/luz/R/callbacks-resume.R |only luz-0.4.0/luz/R/callbacks-tfevents.R |only luz-0.4.0/luz/R/callbacks.R | 112 ++++- luz-0.4.0/luz/R/context.R | 56 ++ luz-0.4.0/luz/R/lr-finder.R | 8 luz-0.4.0/luz/R/metrics.R | 121 ++++-- luz-0.4.0/luz/R/module-print.R | 6 luz-0.4.0/luz/R/module.R | 196 +++++++--- luz-0.4.0/luz/R/serialization.R | 98 +++++ luz-0.4.0/luz/R/utils.R | 51 +- luz-0.4.0/luz/README.md | 2 luz-0.4.0/luz/build/vignette.rds |binary luz-0.4.0/luz/inst/doc/accelerator.html | 111 ++--- luz-0.4.0/luz/inst/doc/custom-loop.html | 111 ++--- luz-0.4.0/luz/inst/doc/get-started.Rmd | 2 luz-0.4.0/luz/inst/doc/get-started.html | 148 ++++--- luz-0.4.0/luz/man/context.Rd | 25 + luz-0.4.0/luz/man/ctx.Rd | 11 luz-0.4.0/luz/man/evaluate.Rd | 14 luz-0.4.0/luz/man/luz_callback.Rd | 40 ++ luz-0.4.0/luz/man/luz_callback_auto_resume.Rd |only luz-0.4.0/luz/man/luz_callback_csv_logger.Rd | 2 luz-0.4.0/luz/man/luz_callback_early_stopping.Rd | 2 luz-0.4.0/luz/man/luz_callback_interrupt.Rd | 2 luz-0.4.0/luz/man/luz_callback_keep_best_model.Rd | 2 luz-0.4.0/luz/man/luz_callback_lr_scheduler.Rd | 2 luz-0.4.0/luz/man/luz_callback_metrics.Rd | 2 luz-0.4.0/luz/man/luz_callback_mixup.Rd | 13 luz-0.4.0/luz/man/luz_callback_model_checkpoint.Rd | 5 luz-0.4.0/luz/man/luz_callback_profile.Rd | 6 luz-0.4.0/luz/man/luz_callback_progress.Rd | 2 luz-0.4.0/luz/man/luz_callback_resume_from_checkpoint.Rd |only luz-0.4.0/luz/man/luz_callback_tfevents.Rd |only luz-0.4.0/luz/man/luz_callback_train_valid.Rd | 2 luz-0.4.0/luz/man/luz_load_checkpoint.Rd |only luz-0.4.0/luz/man/luz_metric.Rd | 8 luz-0.4.0/luz/man/luz_metric_set.Rd |only luz-0.4.0/luz/man/rmd/ctx.Rmd | 48 -- luz-0.4.0/luz/man/setup.Rd | 11 luz-0.4.0/luz/tests/testthat/_snaps/callbacks-monitor-metrics.md | 6 luz-0.4.0/luz/tests/testthat/_snaps/callbacks.md | 12 luz-0.4.0/luz/tests/testthat/_snaps/metrics.md |only luz-0.4.0/luz/tests/testthat/_snaps/module.md | 2 luz-0.4.0/luz/tests/testthat/helper-expectations.R | 9 luz-0.4.0/luz/tests/testthat/test-callbacks-mixup.R | 33 + luz-0.4.0/luz/tests/testthat/test-callbacks-monitor-metrics.R | 11 luz-0.4.0/luz/tests/testthat/test-callbacks-profile.R | 6 luz-0.4.0/luz/tests/testthat/test-callbacks-resume.R |only luz-0.4.0/luz/tests/testthat/test-callbacks-tfevents.R |only luz-0.4.0/luz/tests/testthat/test-callbacks.R | 18 luz-0.4.0/luz/tests/testthat/test-metrics.R | 134 ++++++ luz-0.4.0/luz/tests/testthat/test-module.R | 88 ++++ luz-0.4.0/luz/vignettes/examples/dogs-vs-cats-binary-classification.Rmd | 7 luz-0.4.0/luz/vignettes/examples/index.Rmd | 2 luz-0.4.0/luz/vignettes/examples/mnist-autoencoder.Rmd | 2 luz-0.4.0/luz/vignettes/examples/mnist-cnn-virtual-batch-size.Rmd | 28 - luz-0.4.0/luz/vignettes/examples/mnist-cnn.Rmd | 6 luz-0.4.0/luz/vignettes/examples/mnist-dcgan.Rmd | 6 luz-0.4.0/luz/vignettes/examples/mnist-mixup.Rmd |only luz-0.4.0/luz/vignettes/examples/mnist-triplet.Rmd | 7 luz-0.4.0/luz/vignettes/examples/pets-unet.Rmd | 4 luz-0.4.0/luz/vignettes/get-started.Rmd | 2 71 files changed, 1403 insertions(+), 525 deletions(-)
Title: Filtering and Assessing the Sample Size of Tracking Data
Description: Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada@gmail.com>
Diff between SDLfilter versions 2.3.1 dated 2023-01-16 and 2.3.2 dated 2023-04-17
DESCRIPTION | 8 MD5 | 26 - NEWS | 208 +++++++-------- NEWS.md | 220 ++++++++-------- R/ddfilter.R | 8 R/ddfilter_loop.R | 5 R/ddfilter_speed.R | 154 +++++------ README.md | 502 ++++++++++++++++++------------------- build/partial.rdb |binary inst/CITATION | 97 +++---- man/ddfilter.Rd | 8 man/ddfilter_speed.Rd | 8 man/figures/unnamed-chunk-13-1.png |binary man/figures/unnamed-chunk-7-1.png |binary 14 files changed, 625 insertions(+), 619 deletions(-)
Title: Inferential Statistics
Description: Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997), <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) and multiple imputation (Barnard and Rubin (1999), <doi:10.1093/biomet/86.4.948>) t-test and Wilcoxon tests. Graphical visualization by volcano and Bland-Altman plots (Bland and Altman (1986), <doi:10.1016/S0140-6736(86)90837-8>; Shieh (2018), <doi:10.1186/s12874-018-0505-y>).
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Diff between MKinfer versions 1.0 dated 2023-03-14 and 1.1 dated 2023-04-17
DESCRIPTION | 14 - MD5 | 31 +- NAMESPACE | 7 NEWS | 13 R/mi.t.test.R | 25 + R/mi.wilcox.test.R |only R/quantileCI.R | 86 +++++- build/partial.rdb |only build/vignette.rds |binary inst/doc/MKinfer.R | 57 ++-- inst/doc/MKinfer.Rmd | 75 +++-- inst/doc/MKinfer.html | 648 ++++++++++++++++++++++++++++++------------------ man/0MKinfer-package.Rd | 10 man/mi.t.test.Rd | 43 ++- man/mi.wilcox.test.Rd |only man/quantileCI.Rd | 3 vignettes/MKinfer.Rmd | 75 +++-- vignettes/MKinfer.bib | 7 18 files changed, 739 insertions(+), 355 deletions(-)
Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006,
2014). Includes a function for conveniently defining differential equation
models, model solution based on eigenvalues if possible or using numerical
solvers. If a C compiler (on windows: 'Rtools') is installed, differential
equation models are solved using automatically generated C functions.
Heteroscedasticity can be taken into account using variance by variable or
two-component error models as described by Ranke and Meinecke (2018)
<doi:10.3390/environments6120124>. Hierarchical degradation models can
be fitted using nonlinear mixed-effects model packages as a back end as
described by Ranke et al. (2021) <doi:10.3390/environments8080071>. Please
note that no warranty is implied for correctness of results or fitness for a
particular purpose.
Author: Johannes Ranke [aut, cre, cph]
,
Katrin Lindenberger [ctb] ),
Rene Lehmann [ctb] and invilr),
Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <johannes.ranke@jrwb.de>
Diff between mkin versions 1.2.1 dated 2022-11-19 and 1.2.3 dated 2023-04-17
mkin-1.2.1/mkin/R/tex_listing.R |only mkin-1.2.1/mkin/man/tex_listing.Rd |only mkin-1.2.1/mkin/tests/testthat/_snaps/multistart/parplot-for-sfo-fit.new.svg |only mkin-1.2.1/mkin/tests/testthat/illparms_hfits_synth_no_ranef_auto.txt |only mkin-1.2.1/mkin/tests/testthat/print_hfits_synth_no_ranef_auto.txt |only mkin-1.2.1/mkin/vignettes/web_only |only mkin-1.2.3/mkin/DESCRIPTION | 26 mkin-1.2.3/mkin/MD5 | 146 ++-- mkin-1.2.3/mkin/NAMESPACE | 5 mkin-1.2.3/mkin/NEWS.md | 32 mkin-1.2.3/mkin/R/endpoints.R | 35 - mkin-1.2.3/mkin/R/hierarchical_kinetics.R |only mkin-1.2.3/mkin/R/illparms.R | 14 mkin-1.2.3/mkin/R/intervals.R | 8 mkin-1.2.3/mkin/R/mhmkin.R | 97 ++ mkin-1.2.3/mkin/R/mkinerrmin.R | 2 mkin-1.2.3/mkin/R/mkinfit.R | 20 mkin-1.2.3/mkin/R/mkinmod.R | 19 mkin-1.2.3/mkin/R/mkinpredict.R | 45 - mkin-1.2.3/mkin/R/mmkin.R | 7 mkin-1.2.3/mkin/R/multistart.R | 7 mkin-1.2.3/mkin/R/nlme.mmkin.R | 12 mkin-1.2.3/mkin/R/parms.R | 2 mkin-1.2.3/mkin/R/parplot.R | 20 mkin-1.2.3/mkin/R/plot.mixed.mmkin.R | 136 ++-- mkin-1.2.3/mkin/R/plot.mkinfit.R | 14 mkin-1.2.3/mkin/R/read_spreadsheet.R | 15 mkin-1.2.3/mkin/R/saem.R | 65 + mkin-1.2.3/mkin/R/summary.saem.mmkin.R | 43 + mkin-1.2.3/mkin/R/summary_listing.R |only mkin-1.2.3/mkin/README.md | 81 +- mkin-1.2.3/mkin/build/partial.rdb |binary mkin-1.2.3/mkin/build/vignette.rds |binary mkin-1.2.3/mkin/inst/doc/FOCUS_D.html | 69 +- mkin-1.2.3/mkin/inst/doc/FOCUS_L.html | 276 +++++--- mkin-1.2.3/mkin/inst/doc/dmta_parent_2022_prebuilt.pdf |only mkin-1.2.3/mkin/inst/doc/dmta_parent_2022_prebuilt.rnw |only mkin-1.2.3/mkin/inst/doc/dmta_pathway_2022_prebuilt.pdf |only mkin-1.2.3/mkin/inst/doc/dmta_pathway_2022_prebuilt.rnw |only mkin-1.2.3/mkin/inst/doc/mkin.html | 332 +++++++--- mkin-1.2.3/mkin/inst/doc/twa.html | 107 ++- mkin-1.2.3/mkin/inst/rmarkdown |only mkin-1.2.3/mkin/inst/testdata/cyantraniliprole_soil_efsa_2014.xlsx |only mkin-1.2.3/mkin/inst/testdata/lambda-cyhalothrin_soil_efsa_2014.xlsx |only mkin-1.2.3/mkin/man/endpoints.Rd | 9 mkin-1.2.3/mkin/man/hierarchical_kinetics.Rd |only mkin-1.2.3/mkin/man/illparms.Rd | 13 mkin-1.2.3/mkin/man/mhmkin.Rd | 56 + mkin-1.2.3/mkin/man/mkinmod.Rd | 6 mkin-1.2.3/mkin/man/mkinpredict.Rd | 29 mkin-1.2.3/mkin/man/mmkin.Rd | 7 mkin-1.2.3/mkin/man/parms.Rd | 13 mkin-1.2.3/mkin/man/parplot.Rd | 7 mkin-1.2.3/mkin/man/plot.mixed.mmkin.Rd | 22 mkin-1.2.3/mkin/man/saem.Rd | 16 mkin-1.2.3/mkin/man/summary.saem.mmkin.Rd | 30 mkin-1.2.3/mkin/man/summary_listing.Rd |only mkin-1.2.3/mkin/tests/testthat/_snaps/multistart/parplot-for-dfop-sfo-fit.svg | 169 ++--- mkin-1.2.3/mkin/tests/testthat/_snaps/multistart/parplot-for-sfo-fit.svg | 4 mkin-1.2.3/mkin/tests/testthat/illparms_hfits_synth.txt | 10 mkin-1.2.3/mkin/tests/testthat/print_fits_synth_const.txt | 4 mkin-1.2.3/mkin/tests/testthat/print_mmkin_sfo_sfo_dmta.txt |only mkin-1.2.3/mkin/tests/testthat/setup_script.R | 12 mkin-1.2.3/mkin/tests/testthat/summary_hfit_sfo_tc.txt | 43 - mkin-1.2.3/mkin/tests/testthat/summary_saem_dfop_sfo_s.txt | 15 mkin-1.2.3/mkin/tests/testthat/test_compiled_symbols.R |only mkin-1.2.3/mkin/tests/testthat/test_dmta.R | 14 mkin-1.2.3/mkin/tests/testthat/test_mhmkin.R | 44 - mkin-1.2.3/mkin/tests/testthat/test_mixed.R | 54 + mkin-1.2.3/mkin/tests/testthat/test_multistart.R | 2 mkin-1.2.3/mkin/vignettes/dmta_parent_2022_prebuilt.rnw |only mkin-1.2.3/mkin/vignettes/dmta_pathway_2022_prebuilt.rnw |only mkin-1.2.3/mkin/vignettes/prebuilt |only mkin-1.2.3/mkin/vignettes/references.bib | 34 - 74 files changed, 1543 insertions(+), 705 deletions(-)
Title: Minimalist Async Evaluation Framework for R
Description: Lightweight parallel code execution and distributed computing.
Designed for simplicity, a 'mirai' evaluates an R expression asynchronously,
on local or network resources, resolving automatically upon completion.
Features efficient task scheduling, scalability beyond R connection limits,
and transports faster than TCP/IP for inter-process communications, courtesy
of 'nanonext' and 'NNG' (Nanomsg Next Gen).
Author: Charlie Gao [aut, cre] ,
Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Diff between mirai versions 0.8.2 dated 2023-04-03 and 0.8.3 dated 2023-04-17
mirai-0.8.2/mirai/man/launch.Rd |only mirai-0.8.3/mirai/DESCRIPTION | 20 - mirai-0.8.3/mirai/MD5 | 27 +- mirai-0.8.3/mirai/NAMESPACE | 9 mirai-0.8.3/mirai/NEWS.md | 17 + mirai-0.8.3/mirai/R/mirai-package.R | 33 +-- mirai-0.8.3/mirai/R/mirai.R | 355 +++++++++++++++++++++++---------- mirai-0.8.3/mirai/README.md | 153 +++++++------- mirai-0.8.3/mirai/man/daemons.Rd | 29 +- mirai-0.8.3/mirai/man/dispatcher.Rd | 23 +- mirai-0.8.3/mirai/man/launch_server.Rd |only mirai-0.8.3/mirai/man/mirai-package.Rd | 12 - mirai-0.8.3/mirai/man/mirai.Rd | 25 +- mirai-0.8.3/mirai/man/saisei.Rd |only mirai-0.8.3/mirai/man/server.Rd | 15 - mirai-0.8.3/mirai/tests/tests.R | 131 ++++++------ 16 files changed, 541 insertions(+), 308 deletions(-)
Title: GWR and MGWR with Spatial Autocorrelation
Description: Functions for computing (Mixed) Geographycally Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017) <doi:10.1016/j.regsciurbeco.2017.04.001>.
Author: Ghislain Geniaux and Davide Martinetti
Maintainer: Ghislain Geniaux <ghislain.geniaux@inrae.fr>
Diff between mgwrsar versions 1.0 dated 2022-05-05 and 1.0.4 dated 2023-04-17
mgwrsar-1.0.4/mgwrsar/DESCRIPTION | 15 mgwrsar-1.0.4/mgwrsar/MD5 | 71 mgwrsar-1.0.4/mgwrsar/NAMESPACE | 10 mgwrsar-1.0.4/mgwrsar/NEWS.md |only mgwrsar-1.0.4/mgwrsar/R/GWR.R | 26 mgwrsar-1.0.4/mgwrsar/R/MGWR.R | 14 mgwrsar-1.0.4/mgwrsar/R/MGWRSAR.R | 15 mgwrsar-1.0.4/mgwrsar/R/assign_control.R | 2 mgwrsar-1.0.4/mgwrsar/R/bandwidth_backfit.R |only mgwrsar-1.0.4/mgwrsar/R/bandwidths_MGWRSAR.R | 18 mgwrsar-1.0.4/mgwrsar/R/cv.multiscale_gwr.R |only mgwrsar-1.0.4/mgwrsar/R/fb.R | 6 mgwrsar-1.0.4/mgwrsar/R/fill_DGPTAB.R | 2 mgwrsar-1.0.4/mgwrsar/R/gwr_beta.R | 229 + mgwrsar-1.0.4/mgwrsar/R/gwr_beta_glmboost.R |only mgwrsar-1.0.4/mgwrsar/R/kernel_matW.R | 15 mgwrsar-1.0.4/mgwrsar/R/mgwr_stage1.R | 56 mgwrsar-1.0.4/mgwrsar/R/multiscale_gwr.R |only mgwrsar-1.0.4/mgwrsar/R/plot.mgwrsar.R | 47 mgwrsar-1.0.4/mgwrsar/R/plot_effect.R | 104 mgwrsar-1.0.4/mgwrsar/R/predict.mgwrsar.R | 72 mgwrsar-1.0.4/mgwrsar/R/prep_var.R | 54 mgwrsar-1.0.4/mgwrsar/R/prep_w.R | 12 mgwrsar-1.0.4/mgwrsar/R/summary_Matrix.R | 3 mgwrsar-1.0.4/mgwrsar/R/table_mgwrsar.R |only mgwrsar-1.0.4/mgwrsar/R/zzz.R | 2 mgwrsar-1.0.4/mgwrsar/inst/doc/Speeding_up_GWR_like_models_with_mgwrsar_package.R | 115 mgwrsar-1.0.4/mgwrsar/inst/doc/Speeding_up_GWR_like_models_with_mgwrsar_package.Rmd | 13 mgwrsar-1.0.4/mgwrsar/inst/doc/Speeding_up_GWR_like_models_with_mgwrsar_package.html | 266 -- mgwrsar-1.0.4/mgwrsar/inst/doc/mgwrsar-basic_examples.R | 15 mgwrsar-1.0.4/mgwrsar/inst/doc/mgwrsar-basic_examples.Rmd | 15 mgwrsar-1.0.4/mgwrsar/inst/doc/mgwrsar-basic_examples.html | 1260 ++++++++-- mgwrsar-1.0.4/mgwrsar/man/bandwidths_mgwrsar.Rd | 6 mgwrsar-1.0.4/mgwrsar/man/kernel_matW.Rd | 4 mgwrsar-1.0.4/mgwrsar/man/multiscale_gwr.Rd |only mgwrsar-1.0.4/mgwrsar/man/multiscale_gwr.cv.Rd |only mgwrsar-1.0.4/mgwrsar/man/plot_effect.Rd | 6 mgwrsar-1.0.4/mgwrsar/man/plot_mgwrsar.Rd | 29 mgwrsar-1.0.4/mgwrsar/vignettes/Speeding_up_GWR_like_models_with_mgwrsar_package.Rmd | 13 mgwrsar-1.0.4/mgwrsar/vignettes/mgwrsar-basic_examples.Rmd | 15 mgwrsar-1.0/mgwrsar/NEWS |only 41 files changed, 1802 insertions(+), 728 deletions(-)
Title: Information Matrices for 'lmeStruct' and 'glsStruct' Objects
Description: Provides analytic derivatives and information matrices for
fitted linear mixed effects (lme) models and generalized least squares (gls) models
estimated using lme() (from package 'nlme') and gls() (from package 'nlme'), respectively.
The package includes functions for estimating the sampling variance-covariance of variance
component parameters using the inverse Fisher information. The variance components include
the parameters of the random effects structure (for lme models), the variance structure,
and the correlation structure. The expected and average forms of the Fisher information matrix
are used in the calculations, and models estimated by full maximum likelihood or
restricted maximum likelihood are supported. The package also includes a function for estimating
standardized mean difference effect sizes (Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>)
based on fitted lme or gls models.
Author: James Pustejovsky [aut] ,
Man Chen [aut, cre]
Maintainer: Man Chen <manchen9005@gmail.com>
Diff between lmeInfo versions 0.3.1 dated 2023-02-15 and 0.3.2 dated 2023-04-17
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 4 ++++ inst/doc/Information-matrices-for-fitted-LME-models.html | 4 ++-- tests/testthat/test-separate-random-effects.R | 4 ++-- 5 files changed, 15 insertions(+), 11 deletions(-)
Title: A Test Environment for Database Requests
Description: Testing and documenting code that communicates with remote
databases can be painful. Although the interaction with R is usually relatively
simple (e.g. data(frames) passed to and from a database), because they rely on
a separate service and the data there, testing them can be difficult to set up,
unsustainable in a continuous integration environment, or impossible without
replicating an entire production cluster. This package addresses that by
allowing you to make recordings from your database interactions and then play
them back while testing (or in other contexts) all without needing to spin up
or have access to the database your code would typically connect to.
Author: Jonathan Keane [aut, cre] ,
Mauricio Vargas [aut] ,
Helen Miller [rev] ,
Etienne Racine [rev]
Maintainer: Jonathan Keane <jkeane@gmail.com>
Diff between dittodb versions 0.1.5 dated 2023-04-12 and 0.1.6 dated 2023-04-17
DESCRIPTION | 12 ++++++------ MD5 | 19 +++++++++++-------- NAMESPACE | 1 + NEWS.md | 3 +++ R/capture-requests.R | 32 +++++++++++++++++++++++--------- R/serialize-bit64.R |only inst/WORDLIST | 5 +++++ inst/doc/developing-dittodb.html | 4 ++-- inst/doc/dittodb.html | 8 ++++---- inst/doc/nycflights.html | 4 ++-- man/serialize_bit64.Rd |only tests/testthat/test-serialize-bit64.R |only 12 files changed, 57 insertions(+), 31 deletions(-)
Title: HIGHT Algorithm
Description: HIGHT(HIGh security and light weigHT) algorithm is a block cipher encryption algorithm developed to provide confidentiality in computing environments that demand low power consumption and lightweight, such as RFID(Radio-Frequency Identification) and USN(Ubiquitous Sensor Network), or in mobile environments that require low power consumption and lightweight, such as smartphones and smart cards. Additionally, it is designed with a simple structure that enables it to be used with basic arithmetic operations, XOR, and circular shifts in 8-bit units. This algorithm was designed to consider both safety and efficiency in a very simple structure suitable for limited environments, compared to the former 128-bit encryption algorithm SEED. In December 2010, it became an ISO(International Organization for Standardization) standard. The detailed procedure is described in Hong et al. (2006) <doi:10.1007/11894063_4>.
Author: Yongwoo Kim [aut, cre]
Maintainer: Yongwoo Kim <yw_kim@outlook.com>
Diff between hightR versions 0.1.0 dated 2023-04-10 and 0.2.0 dated 2023-04-17
DESCRIPTION | 6 +- MD5 | 12 ++-- R/hightR_base.R | 2 R/hight_dec.R | 24 +++++--- R/hight_enc.R | 154 +++++++++++++++++++++++++++++-------------------------- man/hight_dec.Rd | 14 +++-- man/hight_enc.Rd | 22 ++++++- 7 files changed, 133 insertions(+), 101 deletions(-)
Title: Bayesian Multi-State Models for Early Oncology
Description: Implements methods to fit a parametric Bayesian multi-state model
to tumor response data.
The model can be used to sample from the predictive distribution to impute
missing data and calculate probability of success for custom decision
criteria in early clinical trials during an ongoing trial.
The inference is implemented using 'stan'.
Author: Kevin Kunzmann [aut, cre] ,
Karthik Ananthakrishnan [ctb],
Boehringer Ingelheim Ltd. [cph, fnd]
Maintainer: Kevin Kunzmann <kevin.kunzmann@boehringer-ingelheim.com>
Diff between oncomsm versions 0.1.3 dated 2023-03-11 and 0.1.4 dated 2023-04-17
DESCRIPTION | 6 - MD5 | 26 ++--- NAMESPACE | 1 NEWS.md | 19 ++- R/oncomsm-package.R | 1 inst/doc/avoiding-bias.html | 27 ++--- inst/doc/oncomsm.R | 6 - inst/doc/oncomsm.Rmd | 10 +- inst/doc/oncomsm.html | 184 ++++++++++++++++++------------------- inst/stan/srp_model_simple.stan | 12 +- src/Makevars | 4 src/Makevars.win | 4 src/stanExports_srp_model_simple.h | 180 +++++++++++++++++++----------------- vignettes/oncomsm.Rmd | 10 +- 14 files changed, 257 insertions(+), 233 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-03-04 2.2.9
2021-11-08 2.2.7
2021-09-14 2.2.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-03-27 1.0.2
2023-01-17 1.0.0