Title: The Beta Random Number and Dirichlet Random Vector Generating
Functions
Description: Contains functions to generate random numbers
from the beta distribution and random vectors from the
Dirichlet distribution.
Author: Ching-Wei Cheng [aut, cre],
Ying-Chao Hung [aut],
Narayanaswamy Balakrishnan [aut]
Maintainer: Ching-Wei Cheng <aks43725@gmail.com>
Diff between rBeta2009 versions 1.0 dated 2012-03-01 and 1.0.1 dated 2024-11-04
DESCRIPTION | 25 +++++++++++++++++++------ MD5 | 6 +++--- man/rbeta.Rd | 12 ++++++------ src/rBeta2009SEXP.cc | 6 +++--- 4 files changed, 31 insertions(+), 18 deletions(-)
Title: Stepwise Regression Analysis
Description: The stepwise regression analysis is a statistical technique used to identify a subset of predictor variables essential for constructing predictive models. This package performs stepwise regression analysis across various regression models such as linear, logistic, Cox proportional hazards, Poisson, Gamma, and negative binomial regression. It incorporates diverse stepwise regression algorithms like forward selection, backward elimination, and bidirectional elimination alongside the best subset method. Additionally, it offers a wide range of selection criteria, including Akaike Information Criterion (AIC), Sawa Bayesian Information Criterion (BIC), and Significance Levels (SL). We validated the output accuracy of StepReg using public datasets within the SAS software environment. To facilitate efficient model comparison and selection, StepReg allows for multiple strategies and selection metrics to be executed in a single function call. Moreover, StepReg integrates a Shiny application for [...truncated...]
Author: Junhui Li [cre] ,
Junhui Li [aut],
Kai Hu [aut],
Xiaohuan Lu [aut],
Kun Cheng [ctb],
Sushmita N Nayak [ctb],
Cesar Bautista Sotelo [ctb],
Michael A Lodato [ctb],
Robert H Brown [ctb],
Wenxin Liu [aut],
Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>
Diff between StepReg versions 1.5.4 dated 2024-10-12 and 1.5.5 dated 2024-11-04
StepReg-1.5.4/StepReg/inst/shiny/rsconnect/shinyapps.io/junhuiliumass |only StepReg-1.5.5/StepReg/DESCRIPTION | 10 StepReg-1.5.5/StepReg/MD5 | 14 - StepReg-1.5.5/StepReg/R/stepwiseUtils.R | 57 ++-- StepReg-1.5.5/StepReg/build/vignette.rds |binary StepReg-1.5.5/StepReg/inst/doc/StepReg.Rmd | 2 StepReg-1.5.5/StepReg/inst/doc/StepReg.html | 129 +++++----- StepReg-1.5.5/StepReg/inst/shiny/rsconnect/shinyapps.io/junhuili1017 |only StepReg-1.5.5/StepReg/vignettes/StepReg.Rmd | 2 9 files changed, 112 insertions(+), 102 deletions(-)
Title: Import 'REDATAM' Files
Description: Read 'REDATAM' microdata exported into R native format (RDS). This
is based on the Open Redatam initiative that provides a set of tools to
read 'REDATAM' files and convert them into open formats.
Author: Mauricio Vargas Sepulveda [aut, cre]
,
Lital Barkai [aut]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Diff between redatam versions 2.0.0 dated 2024-10-21 and 2.0.2 dated 2024-11-04
redatam-2.0.0/redatam/R/cpp11.R |only redatam-2.0.0/redatam/R/read_redatam.R |only redatam-2.0.0/redatam/R/redatam-package.R |only redatam-2.0.0/redatam/R/utils.R |only redatam-2.0.0/redatam/inst/WORDLIST |only redatam-2.0.0/redatam/inst/extdata |only redatam-2.0.0/redatam/man/read_redatam.Rd |only redatam-2.0.0/redatam/man/redatam-package.Rd |only redatam-2.0.0/redatam/src |only redatam-2.0.0/redatam/tests |only redatam-2.0.2/redatam/DESCRIPTION | 37 +--- redatam-2.0.2/redatam/MD5 | 55 +----- redatam-2.0.2/redatam/NAMESPACE | 10 - redatam-2.0.2/redatam/NEWS.md | 10 + redatam-2.0.2/redatam/R/download_microdata.R |only redatam-2.0.2/redatam/inst/doc/reading-redatam-in-r.R | 25 -- redatam-2.0.2/redatam/inst/doc/reading-redatam-in-r.Rmd | 39 ---- redatam-2.0.2/redatam/inst/doc/reading-redatam-in-r.html | 129 ++++++--------- redatam-2.0.2/redatam/man/download_microdata.Rd |only redatam-2.0.2/redatam/vignettes/reading-redatam-in-r.Rmd | 39 ---- 20 files changed, 102 insertions(+), 242 deletions(-)
Title: Knock Errors Off Nice Guesses
Description: Miscellaneous functions and data used in Qingyao's psychological research and teaching. Keng currently could test the significance and compute the cut-off values of Pearson's r without raw data. Keng could also compare lm()'s fitted outputs using R-squared and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared).
Author: Qingyao Zhang [aut, cre]
Maintainer: Qingyao Zhang <qingyaozhang@outlook.com>
Diff between Keng versions 2024.10.16 dated 2024-10-17 and 2024.11.02 dated 2024-11-04
Keng-2024.10.16/Keng/R/test_PRE.R |only Keng-2024.10.16/Keng/man/test_PRE.Rd |only Keng-2024.10.16/Keng/tests/testthat/test-test_PRE.R |only Keng-2024.11.02/Keng/DESCRIPTION | 14 ++++++++------ Keng-2024.11.02/Keng/MD5 | 13 +++++++------ Keng-2024.11.02/Keng/NAMESPACE | 2 +- Keng-2024.11.02/Keng/R/compare_lm.R |only Keng-2024.11.02/Keng/README.md | 16 ++++++++++------ Keng-2024.11.02/Keng/man/compare_lm.Rd |only Keng-2024.11.02/Keng/man/figures |only Keng-2024.11.02/Keng/tests/testthat/test-compare_lm.R |only 11 files changed, 26 insertions(+), 19 deletions(-)
Title: Simple Automatic Differentiation
Description: Handles both vector and matrices, using a flexible S4 class for automatic differentiation.
The method used is forward automatic differentiation. Many functions and methods have been defined,
so that in most cases, functions written without automatic differentiation in mind can be
used without change.
Author: Herve Perdry [aut, cre]
Maintainer: Herve Perdry <herve.perdry@universite-paris-saclay.fr>
Diff between salad versions 1.0 dated 2024-06-24 and 1.1 dated 2024-11-04
DESCRIPTION | 8 +- MD5 | 17 +++- NAMESPACE | 2 NEWS.md |only R/gradient.descent.r |only R/optiWrap.r |only inst/doc/salad.R | 2 inst/doc/salad.Rmd | 2 inst/doc/salad.html | 172 +++++++++++++++++++++++------------------------- man/gradient.descent.Rd |only man/optiWrap.Rd |only vignettes/salad.Rmd | 2 12 files changed, 103 insertions(+), 102 deletions(-)
Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates,
and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae
parameterised by Cholesky factors of covariance or precision matrices are implemented
for interval-censored and exact data, or a mix thereof. Score functions for these
log-likelihoods are available. A class representing multiple lower triangular matrices
and corresponding methods are part of this package.
Author: Alan Genz [aut],
Frank Bretz [aut],
Tetsuhisa Miwa [aut],
Xuefei Mi [aut],
Friedrich Leisch [ctb],
Fabian Scheipl [ctb],
Bjoern Bornkamp [ctb] ,
Martin Maechler [ctb] ,
Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between mvtnorm versions 1.3-1 dated 2024-09-03 and 1.3-2 dated 2024-11-04
DESCRIPTION | 8 MD5 | 31 - NAMESPACE | 2 R/lpmvnorm.R | 127 ++++ R/ltMatrices.R | 4 build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 20 inst/doc/MVT_Rnews.pdf |binary inst/doc/lmvnorm_src.R | 128 ++++ inst/doc/lmvnorm_src.Rnw | 1147 ++++++++++++++++++++++++++-------------- inst/doc/lmvnorm_src.pdf |binary inst/litdb.bib | 21 man/lpRR.Rd |only vignettes/litdb.bib | 21 vignettes/lmvnorm_src.Rnw | 1147 ++++++++++++++++++++++++++-------------- vignettes/lmvnorm_src.Rout.save | 168 +++++ 17 files changed, 1991 insertions(+), 833 deletions(-)
Title: Wild Binary Segmentation for Multiple Change-Point Detection
Description: Provides efficient implementation of the Wild Binary Segmentation and Binary
Segmentation algorithms for estimation of the number and locations of
multiple change-points in the piecewise constant function plus Gaussian
noise model.
Author: Rafal Baranowski [aut, cre],
Piotr Fryzlewicz [aut]
Maintainer: Rafal Baranowski <package_maintenance@rbaranowski.com>
Diff between wbs versions 1.4 dated 2019-05-14 and 1.4.1 dated 2024-11-04
DESCRIPTION | 18 ++++++++---- MD5 | 4 +- src/wbs.c | 88 ++++++++++++++++++++++++++++++------------------------------ 3 files changed, 59 insertions(+), 51 deletions(-)
Title: Safe Implementation of Monte Carlo Tests
Description: Algorithms for the implementation and evaluation of Monte Carlo tests, as well as for their use in multiple testing procedures.
Author: Axel Gandy [aut, cre],
Patrick Rubin-Delanchy [ctb],
Georg Hahn [ctb],
Dong Ding [ctb]
Maintainer: Axel Gandy <a.gandy@imperial.ac.uk>
Diff between simctest versions 2.6 dated 2019-11-04 and 2.6.1 dated 2024-11-04
DESCRIPTION | 32 +++++++++++++++++++++++++------- MD5 | 12 ++++++------ build/vignette.rds |binary inst/doc/simctest-intro.pdf |binary inst/doc/simctest-mctest-intro.pdf |binary inst/doc/simctest-mmctest-intro.pdf |binary src/simctest.c | 30 +++++++++++++++--------------- 7 files changed, 46 insertions(+), 28 deletions(-)
Title: Regularized Random Forest
Description: Feature Selection with Regularized Random Forest. This
package is based on the 'randomForest' package by Andy Liaw.
The key difference is the RRF() function that builds a
regularized random forest. Fortran original by Leo Breiman
and Adele Cutler, R port by Andy Liaw and Matthew Wiener,
Regularized random forest for classification by Houtao Deng,
Regularized random forest for regression by Xin Guan.
Reference: Houtao Deng (2013) <doi:10.48550/arXiv.1306.0237>.
Author: Houtao Deng [aut, cre],
Xin Guan [aut],
Andy Liaw [aut],
Leo Breiman [aut],
Adele Cutler [aut]
Maintainer: Houtao Deng <softwaredeng@gmail.com>
Diff between RRF versions 1.9.4 dated 2022-05-30 and 1.9.4.1 dated 2024-11-04
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NAMESPACE | 5 +++++ data/imports85.rda |binary src/classTree.c | 8 ++++---- src/regTree.c | 40 ++++++++++++++++++++-------------------- src/rfutils.c | 12 ++++++------ 7 files changed, 45 insertions(+), 40 deletions(-)
Title: Poisson Lognormal and Bivariate Poisson Lognormal Distribution
Description: Functions for obtaining the density, random deviates
and maximum likelihood estimates of the Poisson lognormal
distribution and the bivariate Poisson lognormal distribution.
Author: Vidar Grotan [aut, cre],
Steinar Engen [aut]
Maintainer: Vidar Grotan <vidar.grotan@ntnu.no>
Diff between poilog versions 0.4.2 dated 2022-10-13 and 0.4.2.1 dated 2024-11-04
DESCRIPTION | 18 +++++++++++++----- MD5 | 4 ++-- src/bipoilog_s_cint.c | 16 ++++++++-------- 3 files changed, 23 insertions(+), 15 deletions(-)
Title: Mixed-Effects REML Incorporating Generalized Inverses
Description: Fit linear mixed-effects models using restricted (or residual)
maximum likelihood (REML) and with generalized inverse matrices to specify
covariance structures for random effects. In particular, the package is
suited to fit quantitative genetic mixed models, often referred to as
'animal models'. Implements the average information algorithm as the main
tool to maximize the restricted log-likelihood, but with other algorithms
available.
Author: Matthew Wolak [cre, aut]
Maintainer: Matthew Wolak <matthewwolak@gmail.com>
Diff between gremlin versions 1.0.1 dated 2020-06-25 and 1.1.0 dated 2024-11-04
gremlin-1.0.1/gremlin/src/cs_cbind.c |only gremlin-1.0.1/gremlin/src/cs_chol2inv_ii.c |only gremlin-1.1.0/gremlin/DESCRIPTION | 12 gremlin-1.1.0/gremlin/MD5 | 78 - gremlin-1.1.0/gremlin/NAMESPACE | 11 gremlin-1.1.0/gremlin/NEWS.md | 34 gremlin-1.1.0/gremlin/R/algChk.R |only gremlin-1.1.0/gremlin/R/chol2inv_ii.R |only gremlin-1.1.0/gremlin/R/convChks.R |only gremlin-1.1.0/gremlin/R/covFun.R | 2 gremlin-1.1.0/gremlin/R/delta.R | 6 gremlin-1.1.0/gremlin/R/gremlin.R | 152 +-- gremlin-1.1.0/gremlin/R/gremlinControl.R | 13 gremlin-1.1.0/gremlin/R/mkModMats.R | 2 gremlin-1.1.0/gremlin/R/remlOptimization_algorithms.R | 255 +++-- gremlin-1.1.0/gremlin/R/reml_Iteration.R | 202 ++-- gremlin-1.1.0/gremlin/README.md | 60 + gremlin-1.1.0/gremlin/inst |only gremlin-1.1.0/gremlin/man/algChk.Rd |only gremlin-1.1.0/gremlin/man/ccFun.Rd |only gremlin-1.1.0/gremlin/man/chol2inv_ii.Rd |only gremlin-1.1.0/gremlin/man/covFun.Rd | 2 gremlin-1.1.0/gremlin/man/deltaSE.Rd | 14 gremlin-1.1.0/gremlin/man/gremlin-package.Rd | 8 gremlin-1.1.0/gremlin/man/gremlin.Rd | 34 gremlin-1.1.0/gremlin/man/gremlinControl.Rd | 12 gremlin-1.1.0/gremlin/man/logLik.gremlin.Rd | 2 gremlin-1.1.0/gremlin/man/reml.Rd | 54 - gremlin-1.1.0/gremlin/man/remlIt.Rd | 6 gremlin-1.1.0/gremlin/man/tr.Rd | 8 gremlin-1.1.0/gremlin/src/ai.cc | 19 gremlin-1.1.0/gremlin/src/chol2inv_ii.c |only gremlin-1.1.0/gremlin/src/cs_cov2cor.c | 27 gremlin-1.1.0/gremlin/src/cs_directsum.c | 6 gremlin-1.1.0/gremlin/src/cs_directsumupdate.c | 22 gremlin-1.1.0/gremlin/src/cs_inv_withDiagMod.c |only gremlin-1.1.0/gremlin/src/cs_kroneckerA.c | 3 gremlin-1.1.0/gremlin/src/cs_kroneckerAupdate.c | 4 gremlin-1.1.0/gremlin/src/cs_kroneckerI.c | 3 gremlin-1.1.0/gremlin/src/cs_omega.c | 1 gremlin-1.1.0/gremlin/src/gradFun.cc | 355 +++++++ gremlin-1.1.0/gremlin/src/gremlin.cc | 899 +++++++----------- gremlin-1.1.0/gremlin/src/gremlin.h | 64 + gremlin-1.1.0/gremlin/src/qNewtRhap.cc | 89 - gremlin-1.1.0/gremlin/src/reml.cc |only gremlin-1.1.0/gremlin/src/tugug_trace.cc | 181 +-- 46 files changed, 1531 insertions(+), 1109 deletions(-)
Title: Family of Lasso Regression
Description: Provide the implementation of a family of Lasso variants including Dantzig Selector, LAD Lasso, SQRT Lasso, Lq Lasso for estimating high dimensional sparse linear model. We adopt the alternating direction method of multipliers and convert the original optimization problem into a sequential L1 penalized least square minimization problem, which can be efficiently solved by linearization algorithm. A multi-stage screening approach is adopted for further acceleration. Besides the sparse linear model estimation, we also provide the extension of these Lasso variants to sparse Gaussian graphical model estimation including TIGER and CLIME using either L1 or adaptive penalty. Missing values can be tolerated for Dantzig selector and CLIME. The computation is memory-optimized using the sparse matrix output. For more information, please refer to <https://www.jmlr.org/papers/volume16/li15a/li15a.pdf>.
Author: Xingguo Li [aut, cre],
Tuo Zhao [aut],
Lie Wang [aut],
Xiaoming Yuan [aut],
Han Liu [aut]
Maintainer: Xingguo Li <xingguo.leo@gmail.com>
Diff between flare versions 1.7.0.1 dated 2022-05-23 and 1.7.0.2 dated 2024-11-04
DESCRIPTION | 30 +++++++++++++++++++++++++----- MD5 | 10 +++++----- build/vignette.rds |binary data/eyedata.rda |binary inst/doc/vignette.pdf |binary src/SFGen.c | 4 ++-- 6 files changed, 32 insertions(+), 12 deletions(-)
Title: Calculate Bark Beetle Phenology Using Different Models
Description: Calculate the bark beetle phenology based on raster data or
point-related data. There are multiple models implemented for two bark
beetle species. The models can be customized and their submodels (onset of
infestation, beetle development, diapause initiation, mortality) can be
combined. The following models are available in the package:
PHENIPS-Clim (first-time release in this package),
PHENIPS (Baier et al. 2007) <doi:10.1016/j.foreco.2007.05.020>,
RITY (Ogris et al. 2019) <doi:10.1016/j.ecolmodel.2019.108775>,
CHAPY (Ogris et al. 2020) <doi:10.1016/j.ecolmodel.2020.109137>,
BSO (Jakoby et al. 2019) <doi:10.1111/gcb.14766>,
Lange et al. (2008) <doi:10.1007/978-3-540-85081-6_32>,
Jönsson et al. (2011) <doi:10.1007/s10584-011-0038-4>.
The package may be expanded by models for other bark beetle species in the
future.
Author: Jakob Jentschke [aut, cre],
FVA BW, Abt. Waldschutz [cph, fnd]
Maintainer: Jakob Jentschke <jakob.jentschke@forst.bwl.de>
Diff between barrks versions 1.0.0 dated 2024-08-26 and 1.0.1 dated 2024-11-04
DESCRIPTION | 6 MD5 | 38 - R/data.R | 122 ++-- R/model-phenips.R | 1012 +++++++++++++++++----------------- R/model.R | 194 +++--- R/phenology-results.R | 1006 ++++++++++++++++----------------- R/utils-doc.R | 4 R/utils.R | 342 +++++------ README.md | 350 +++++------ build/partial.rdb |binary inst/tinytest/test-spring-mortality.R | 40 - inst/tinytest/test-trigger-rst.R | 16 man/model.bso.customize.Rd | 2 man/model.chapy.customize.Rd | 4 man/model.joensson.customize.Rd | 4 man/model.lange.customize.Rd | 2 man/model.phenips.apply.Rd | 2 man/model.phenips.customize.Rd | 6 man/model.phenips_clim.customize.Rd | 2 man/model.rity.customize.Rd | 4 20 files changed, 1578 insertions(+), 1578 deletions(-)
Title: Regularization for Semiparametric Additive Hazards Regression
Description: Computationally efficient procedures for regularized
estimation with the semiparametric additive hazards regression
model.
Author: Anders Gorst-Rasmussen [aut, cre]
Maintainer: Anders Gorst-Rasmussen <agorstras@gmail.com>
Diff between ahaz versions 1.15 dated 2022-05-13 and 1.15.1 dated 2024-11-04
DESCRIPTION | 15 ++++--- MD5 | 6 +-- data/sorlie.rda |binary src/ahaz.c | 108 ++++++++++++++++++++++++++++---------------------------- 4 files changed, 66 insertions(+), 63 deletions(-)
Title: An Interactive Introduction to Life Data Analysis
Description: An interactive introduction to Life Data Analysis that depends on 'WeibullR'
by David Silkworth and Jurgen Symynck (2022) <https://CRAN.R-project.org/package=WeibullR>,
a R package for Weibull Analysis, and 'learnr' by Garrick Aden-Buie et al. (2023)
<https://CRAN.R-project.org/package=learnr>, a framework for building interactive learning
modules in R.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>
Diff between WeibullR.learnr versions 0.1.3 dated 2024-07-09 and 0.2 dated 2024-11-04
WeibullR.learnr-0.1.3/WeibullR.learnr/man/WeibullR.learnr.Rd |only WeibullR.learnr-0.2/WeibullR.learnr/DESCRIPTION | 11 WeibullR.learnr-0.2/WeibullR.learnr/MD5 | 42 WeibullR.learnr-0.2/WeibullR.learnr/NAMESPACE | 4 WeibullR.learnr-0.2/WeibullR.learnr/NEWS.md | 5 WeibullR.learnr-0.2/WeibullR.learnr/R/WeibullR.learnr.R | 13 WeibullR.learnr-0.2/WeibullR.learnr/README.md | 30 WeibullR.learnr-0.2/WeibullR.learnr/inst/paper/WeibullRlearnr.png |only WeibullR.learnr-0.2/WeibullR.learnr/inst/paper/paper.bib | 4 WeibullR.learnr-0.2/WeibullR.learnr/inst/paper/paper.html | 460 ++++++++-- WeibullR.learnr-0.2/WeibullR.learnr/inst/paper/paper.md | 8 WeibullR.learnr-0.2/WeibullR.learnr/inst/tutorials/RAMRlearnr/RAMRlearnr.Rmd | 25 WeibullR.learnr-0.2/WeibullR.learnr/inst/tutorials/RAMRlearnr/RAMRlearnr.html | 263 +++-- WeibullR.learnr-0.2/WeibullR.learnr/inst/tutorials/TestRlearnr |only WeibullR.learnr-0.2/WeibullR.learnr/inst/tutorials/WeibullRlearnr/WeibullRlearnr.Rmd | 26 WeibullR.learnr-0.2/WeibullR.learnr/inst/tutorials/WeibullRlearnr/WeibullRlearnr.html | 412 ++++++-- WeibullR.learnr-0.2/WeibullR.learnr/man/TestR.learnr.Rd |only 17 files changed, 929 insertions(+), 374 deletions(-)
More information about WeibullR.learnr at CRAN
Permanent link
Title: Computes Credible Intervals for Bayesian Wavelet Shrinkage
Description: Computes Bayesian wavelet shrinkage credible intervals for
nonparametric regression.
The method uses cumulants to derive Bayesian credible intervals for
wavelet regression estimates.
The first four cumulants of the posterior distribution of the
estimates are expressed in terms of the observed data and integer
powers of the mother wavelet functions.
These powers are closely approximated by linear combinations of
wavelet scaling functions at an appropriate finer scale.
Hence, a suitable modification of the discrete wavelet transform allows
the posterior cumulants to be found efficiently for any data set.
Johnson transformations then yield the credible intervals themselves.
Barber, S., Nason, G.P. and Silverman, B.W. (2002)
<doi:10.1111/1467-9868.00332>.
Author: Stuart Barber [aut],
Guy Nason [cre, ctb]
Maintainer: Guy Nason <g.nason@imperial.ac.uk>
Diff between waveband versions 4.7.3 dated 2024-05-20 and 4.7.4 dated 2024-11-04
DESCRIPTION | 8 +- MD5 | 8 +- inst/CHANGES | 4 + src/as100.f | 178 ++++++++++++++++++++++++++++++++++------------------------- src/as99.f | 125 +++++++++++++++++++++++------------------ 5 files changed, 186 insertions(+), 137 deletions(-)
Title: Probabilistic Reconciliation via Conditioning
Description: Provides methods for probabilistic reconciliation of hierarchical forecasts of time series.
The available methods include analytical Gaussian reconciliation (Corani et al., 2021)
<doi:10.1007/978-3-030-67664-3_13>,
MCMC reconciliation of count time series (Corani et al., 2024)
<doi:10.1016/j.ijforecast.2023.04.003>,
Bottom-Up Importance Sampling (Zambon et al., 2024)
<doi:10.1007/s11222-023-10343-y>,
methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond)
(Zambon et al., 2024. The 40th Conference on Uncertainty in Artificial Intelligence, accepted).
Author: Dario Azzimonti [aut, cre] ,
Nicolo Rubattu [aut] ,
Lorenzo Zambon [aut] ,
Giorgio Corani [aut]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>
Diff between bayesRecon versions 0.3.1 dated 2024-08-28 and 0.3.2 dated 2024-11-04
bayesRecon-0.3.1/bayesRecon/vignettes/bayesRecon_cache/html/hier-fore_cda2bdddbd466e4088f7a13b5253816a.RData |only bayesRecon-0.3.1/bayesRecon/vignettes/bayesRecon_cache/html/hier-fore_cda2bdddbd466e4088f7a13b5253816a.rdb |only bayesRecon-0.3.1/bayesRecon/vignettes/bayesRecon_cache/html/hier-fore_cda2bdddbd466e4088f7a13b5253816a.rdx |only bayesRecon-0.3.2/bayesRecon/DESCRIPTION | 10 - bayesRecon-0.3.2/bayesRecon/MD5 | 29 +-- bayesRecon-0.3.2/bayesRecon/NEWS.md | 8 bayesRecon-0.3.2/bayesRecon/README.md | 1 bayesRecon-0.3.2/bayesRecon/build/partial.rdb |binary bayesRecon-0.3.2/bayesRecon/build/vignette.rds |binary bayesRecon-0.3.2/bayesRecon/inst/doc/mixed_reconciliation.html | 8 bayesRecon-0.3.2/bayesRecon/inst/doc/reconciliation_properties.html | 2 bayesRecon-0.3.2/bayesRecon/man/bayesRecon-package.Rd | 8 bayesRecon-0.3.2/bayesRecon/tests/testthat/dataForTests/Monthly-Count_ts.csv |only bayesRecon-0.3.2/bayesRecon/tests/testthat/test-reconc_BUIS_gaussian.R | 44 +++++ bayesRecon-0.3.2/bayesRecon/tests/testthat/test-reconc_MixCond.R | 86 ++++++++-- bayesRecon-0.3.2/bayesRecon/tests/testthat/test-sample_funs.R | 66 +++---- bayesRecon-0.3.2/bayesRecon/vignettes/bayesRecon_cache/html/hier-fore_b5653210a4dc5c04299b83d18464324f.RData |only bayesRecon-0.3.2/bayesRecon/vignettes/bayesRecon_cache/html/hier-fore_b5653210a4dc5c04299b83d18464324f.rdb |only bayesRecon-0.3.2/bayesRecon/vignettes/bayesRecon_cache/html/hier-fore_b5653210a4dc5c04299b83d18464324f.rdx |only 19 files changed, 192 insertions(+), 70 deletions(-)
Title: Find Differences Between R Objects
Description: Compare complex R objects and reveal the key differences.
Designed particularly for use in testing packages where being able to
quickly isolate key differences makes understanding test failures much
easier.
Author: Hadley Wickham [aut, cre],
Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>
Diff between waldo versions 0.5.3 dated 2024-08-23 and 0.6.0 dated 2024-11-04
DESCRIPTION | 13 +- MD5 | 36 +++---- NEWS.md | 18 +++ R/compare-value.R | 9 + R/compare.R | 37 ++++++- R/import-standalone-obj-type.R |only R/import-standalone-types-check.R |only R/num_equal.R | 28 +++++ R/rematch.R |only R/ses.R | 4 R/utils.R | 42 +++++--- man/compare.Rd | 2 tests/testthat/_snaps/compare-data-frame.md | 5 tests/testthat/_snaps/compare-value.md | 64 ++++++------ tests/testthat/_snaps/compare.md | 144 +++++++++++++++++++++------- tests/testthat/_snaps/num_equal.md |only tests/testthat/test-compare-data-frame.R | 4 tests/testthat/test-compare-value.R | 30 +++-- tests/testthat/test-compare.R | 61 +++++++++++ tests/testthat/test-num_equal.R | 11 ++ tests/testthat/test-utils.R | 7 + 21 files changed, 380 insertions(+), 135 deletions(-)
Title: Functions and Datasets to Accompany Hollander, Wolfe, and
Chicken - Nonparametric Statistical Methods, Third Edition
Description: Designed to replace the tables which were in the back of the first two editions of Hollander and Wolfe - Nonparametric Statistical Methods. Exact procedures are performed when computationally possible. Monte Carlo and Asymptotic procedures are performed otherwise. For those procedures included in the base packages, our code simply provides a wrapper to standardize the output with the other procedures in the package.
Author: Grant Schneider [aut, cre],
Eric Chicken [aut],
Rachel Becvarik [aut]
Maintainer: Grant Schneider <gschneidz@gmail.com>
Diff between NSM3 versions 1.18 dated 2023-09-04 and 1.19 dated 2024-11-04
DESCRIPTION | 25 ++++++++-- MD5 | 6 +- man/svr.df.Rd | 4 - src/ks.c | 137 ++++++++++++++++++---------------------------------------- 4 files changed, 68 insertions(+), 104 deletions(-)
Title: Time Series Management and Analysis for Hydrological Modelling
Description: S3 functions for management, analysis, interpolation and plotting of time series used in hydrology and related environmental sciences. In particular, this package is highly oriented to hydrological modelling tasks. The focus of this package has been put in providing a collection of tools useful for the daily work of hydrologists (although an effort was made to optimise each function as much as possible, functionality has had priority over speed). Bugs / comments / questions / collaboration of any kind are very welcomed, and in particular, datasets that can be included in this package for academic purposes.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>
Diff between hydroTSM versions 0.7-0 dated 2024-01-18 and 0.7-0.1 dated 2024-11-04
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- build/vignette.rds |binary data/Cauquenes7336001.RData |binary data/EbroPPtsMonthly.RData |binary data/KarameaAtGorgeQts.RData |binary data/MaquehueTemuco.RData |binary data/OcaEnOnaQts.RData |binary data/SanMartinoPPts.RData |binary inst/doc/hydroTSM_Daily_P_Vignette-knitr.pdf |binary inst/doc/hydroTSM_Daily_Q_Vignette-knitr.pdf |binary 11 files changed, 14 insertions(+), 14 deletions(-)
Title: Goodness-of-Fit Functions for Comparison of Simulated and
Observed Hydrological Time Series
Description: S3 functions implementing both statistical and graphical goodness-of-fit measures between observed and simulated values, mainly oriented to be used during the calibration, validation, and application of hydrological models. Missing values in observed and/or simulated values can be removed before computations. Comments / questions / collaboration of any kind are very welcomed.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>
Diff between hydroGOF versions 0.6-0 dated 2024-05-08 and 0.6-0.1 dated 2024-11-04
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- build/vignette.rds |binary data/EgaEnEstellaQts.RData |binary inst/doc/hydroGOF_Vignette.pdf |binary 5 files changed, 8 insertions(+), 8 deletions(-)
Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then
performing them and processing the results. 'httr2' is a modern
re-imagining of 'httr' that uses a pipe-based interface and solves
more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre],
Posit Software, PBC [cph, fnd],
Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>
Diff between httr2 versions 1.0.5 dated 2024-09-26 and 1.0.6 dated 2024-11-04
DESCRIPTION | 10 +++---- MD5 | 43 ++++++++++++++++++------------- NAMESPACE | 3 ++ NEWS.md | 8 +++++ R/multi-req.R | 2 - R/oauth.R | 33 +++++++++++++++-------- R/req-auth-aws.R |only R/req-auth-sign.R |only R/req-body.R | 26 +++++++++++++----- R/req-cache.R | 6 ++++ R/req-perform-connection.R | 1 R/req-perform.R | 4 +- R/resp-stream-aws.R |only R/resp-stream.R | 23 +++++++++++----- inst/doc/httr2.html | 38 +++++++++++++-------------- man/oauth_cache_clear.Rd |only man/req_auth_aws_v4.Rd |only man/req_body.Rd | 4 -- man/resp_stream_raw.Rd | 22 ++++++++++----- tests/testthat/_snaps/req-auth-aws.md |only tests/testthat/_snaps/resp-stream-aws.md |only tests/testthat/test-oauth-flow-refresh.R | 10 +++---- tests/testthat/test-oauth.R | 13 +++++++++ tests/testthat/test-req-auth-aws.R |only tests/testthat/test-req-cache.R | 15 ++++++++++ tests/testthat/test-req-perform.R | 8 ++++- tests/testthat/test-resp-stream-aws.R |only 27 files changed, 183 insertions(+), 86 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-11-28 1.2.1
2018-07-16 1.0.1
2015-01-06 0.2.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-09-27 2.3
2017-10-23 2.2
2017-04-09 2.1
2017-01-28 2.0
2012-10-15 1.1
2012-09-15 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-03 1.0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-11-13 0.8.0
2019-09-08 0.7.1
2019-05-21 0.7.0
2019-01-10 0.6.3
2018-03-02 0.6.0
2017-10-09 0.5.5
2017-08-13 0.5.2
2017-07-10 0.5.0
2017-06-05 0.4.6
2017-03-24 0.4.0
2016-12-13 0.3.4
2016-11-12 0.2.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-04-05 1.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-03 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-03-18 0.7
2023-10-24 0.6
2023-09-06 0.5.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-10-05 1.1.0
2022-08-29 1.0.1
2022-08-10 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-05-20 3.2
2022-05-25 2.2
2022-05-02 1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-02 0.4.0
2020-06-11 0.3.2
2019-09-10 0.3.1
2019-08-01 0.3.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-23 1.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-02-22 1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-02-08 0.3.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-08 1.1.1
2018-08-08 1.0.4
2018-08-04 1.0.3
2018-07-19 1.0.2
2016-10-11 1.0.1
Title: Interface to the Penn Machine Learning Benchmarks Data
Repository
Description: Check available classification and regression data sets from the PMLB repository and download them.
The PMLB repository (<https://github.com/EpistasisLab/pmlbr>) contains a curated collection of data sets for evaluating and comparing machine learning algorithms.
These data sets cover a range of applications, and include binary/multi-class classification problems and
regression problems, as well as combinations of categorical, ordinal, and continuous features.
There are currently over 150 datasets included in the PMLB repository.
Author: Trang Le [aut, cre] ,
makeyourownmaker [aut] ,
Jason Moore [aut] ,
University of Pennsylvania [cph]
Maintainer: Trang Le <grixor@gmail.com>
Diff between pmlbr versions 0.2.1 dated 2023-09-28 and 0.2.2 dated 2024-11-04
DESCRIPTION | 8 +++--- MD5 | 6 ++-- NEWS.md | 3 ++ R/pmlb.R | 73 +++++++++++++++++++++++++++++++++++++++++++++++------------- 4 files changed, 68 insertions(+), 22 deletions(-)
Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut],
Yihui Xie [aut, cre] ,
Christophe Dervieux [aut] ,
Jonathan McPherson [aut],
Javier Luraschi [aut],
Kevin Ushey [aut],
Aron Atkins [aut],
Hadley Wickham [aut],
Joe Cheng [aut],
Winston Chang [aut],
Richard Iannone [aut] ,
Andrew Dun [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between rmarkdown versions 2.28 dated 2024-08-17 and 2.29 dated 2024-11-04
rmarkdown-2.28/rmarkdown/tests/testthat/resources/template.html |only rmarkdown-2.29/rmarkdown/DESCRIPTION | 10 - rmarkdown-2.29/rmarkdown/MD5 | 27 +-- rmarkdown-2.29/rmarkdown/NEWS.md | 26 +++ rmarkdown-2.29/rmarkdown/R/github_document.R | 4 rmarkdown-2.29/rmarkdown/R/html_resources.R | 2 rmarkdown-2.29/rmarkdown/R/params.R | 13 - rmarkdown-2.29/rmarkdown/README.md | 2 rmarkdown-2.29/rmarkdown/build/vignette.rds |binary rmarkdown-2.29/rmarkdown/inst/doc/lua-filters.Rmd | 2 rmarkdown-2.29/rmarkdown/inst/doc/lua-filters.html | 3 rmarkdown-2.29/rmarkdown/tests/testthat/test-github_document.R | 6 rmarkdown-2.29/rmarkdown/tests/testthat/test-params.R | 80 ++++++++++ rmarkdown-2.29/rmarkdown/tests/testthat/test-resources.R | 21 ++ rmarkdown-2.29/rmarkdown/vignettes/lua-filters.Rmd | 2 15 files changed, 162 insertions(+), 36 deletions(-)
Title: Computer Experiment Designs
Description: In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they always attain the lower bound of Discrete Discrepancy measure. Further, some useful functions added in this package for adding more value to this package.
Author: Ashutosh Dalal [aut, cre],
Cini Varghese [aut, ctb],
Rajender Parsad [aut, ctb],
Mohd Harun [aut, ctb]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Diff between CompExpDes versions 1.0.4 dated 2024-09-26 and 1.0.5 dated 2024-11-04
DESCRIPTION | 6 - MD5 | 36 ++++++----- NAMESPACE | 5 + R/Best_Model.R |only R/LHDs_I.R | 12 +-- R/LHDs_II.R | 9 +- R/UDesigns_I.R | 50 +++++----------- R/UDesigns_II.R | 43 ++++---------- R/UDesigns_III.R | 133 ++++++++++++++++++++++++-------------------- man/Best_Model.Rd |only man/Discrete_Discrepancy.Rd | 4 - man/LHDs_I.Rd | 8 +- man/LHDs_II.Rd | 8 +- man/MAC.Rd | 7 +- man/Maxpro_Measure.Rd | 6 - man/Meeting_Number.Rd | 4 - man/PhipMeasure.Rd | 2 man/UDesigns_I.Rd | 20 ++---- man/UDesigns_II.Rd | 12 +-- man/UDesigns_III.Rd | 20 +++--- 20 files changed, 187 insertions(+), 198 deletions(-)
Title: Continuous Norming
Description: A comprehensive toolkit for generating continuous test norms in
psychometrics and biometrics, and analyzing model fit. The package offers both
distribution-free modeling using Taylor polynomials and parametric modeling
using the beta-binomial distribution. Originally developed for achievement
tests, it is applicable to a wide range of mental, physical, or other test
scores dependent on continuous or discrete explanatory variables. The package
provides several advantages: It minimizes deviations from representativeness
in subsamples, interpolates between discrete levels of explanatory variables,
and significantly reduces the required sample size compared to conventional
norming per age group. cNORM enables graphical and analytical evaluation of
model fit, accommodates a wide range of scales including those with negative
and descending values, and even supports conventional norming. It generates
norm tables including confidence intervals. It also includes methods for
addressing represent [...truncated...]
Author: Alexandra Lenhard [aut] ,
Wolfgang Lenhard [cre, aut] ,
Sebastian Gary [aut],
WPS publisher [fnd]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>
Diff between cNORM versions 3.3.1 dated 2024-10-16 and 3.4.0 dated 2024-11-04
DESCRIPTION | 7 MD5 | 54 +++--- NAMESPACE | 3 NEWS.md | 17 +- R/betaBinomial.R | 3 R/cNORM.R | 13 + R/modelling.R | 93 ++++++++++- R/plot.R | 315 +++++++++++++++++++++++++++++++++++++++ R/preparation.R | 3 inst/doc/BetaBinomial.html | 6 inst/doc/WeightedRegression.html | 12 - inst/doc/cNORM-Demo.html | 56 +++--- man/bestModel.Rd | 6 man/cNORM.Rd | 8 man/compare.Rd |only man/plot.cnorm.Rd | 1 man/plot.cnormBetaBinomial.Rd | 1 man/plot.cnormBetaBinomial2.Rd | 1 man/plotDensity.Rd | 1 man/plotDerivative.Rd | 1 man/plotNorm.Rd | 1 man/plotNormCurves.Rd | 1 man/plotPercentileSeries.Rd | 1 man/plotPercentiles.Rd | 1 man/plotRaw.Rd | 1 man/plotSubset.Rd | 1 man/subsample_lm.Rd |only man/taylorSwift.Rd | 6 vignettes/beta.png |binary 29 files changed, 524 insertions(+), 89 deletions(-)
Title: Utilities for Graphical Rendering and Fonts Management
Description: Tools are provided to compute metrics of formatted strings
and to check the availability of a font. Another set of functions is
provided to support the collection of fonts from 'Google Fonts' in a
cache. Their use is simple within 'R Markdown' documents and 'shiny'
applications but also with graphic productions generated with the
'ggiraph', 'ragg' and 'svglite' packages or with tabular productions
from the 'flextable' package.
Author: David Gohel [aut, cre],
Hadley Wickham [aut],
Lionel Henry [aut],
Jeroen Ooms [aut] ,
Yixuan Qiu [ctb],
R Core Team [cph] ,
ArData [cph],
RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Diff between gdtools versions 0.4.0 dated 2024-08-28 and 0.4.1 dated 2024-11-04
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- NEWS.md | 4 ++++ 3 files changed, 10 insertions(+), 6 deletions(-)
Title: Auto-Adaptive Parentage Inference Software Tolerant to Missing
Parents
Description: Parentage assignment package.
Parentage assignment is performed based on observed average Mendelian transmission probability distributions or Exclusion.
The main functions of this package are the function APIS_2n(), APIS_3n() and launch_APIShiny(), which perform parentage assignment.
Author: Julien Roche [aut, cre],
Ronan Griot [aut],
Mathieu Besson [aut],
Francois Allal [aut],
Marc Vandeputte [aut],
Jonathan D'Ambrosio [aut],
Romain Morvezen [aut],
Florence Phocas [aut],
Sophie Brard-Fudulea [aut],
Pierrick Haffray [aut]
Maintainer: Julien Roche <julien.roche@inrae.fr>
Diff between APIS versions 2.0.7 dated 2024-10-02 and 2.0.8 dated 2024-11-04
DESCRIPTION | 10 +-- MD5 | 10 +-- R/App_APIS_Shiny.R | 39 ++++++++---- R/function_formating.R | 148 +++++++++++++++++++++++----------------------- R/zzz.R | 23 +++---- inst/www/Data_Example.txt | 20 +++--- 6 files changed, 131 insertions(+), 119 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-04-14 3.2
2022-08-10 3.1
2021-02-01 3.0
2019-08-29 2.1
2019-07-25 2.0
2017-04-02 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-06-27 1.0.1
2023-01-15 1.0.0
2022-12-22 0.3.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-10-19 0.6.5
2023-02-06 0.6.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-02-13 0.9.1
2023-01-16 0.9
Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially
distributed animal population sampled with an array of passive detectors,
such as traps, or by searching polygons or transects. Models incorporating
distance-dependent detection are fitted by maximizing the likelihood.
Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] ,
Philipp Jund [ctb] ,
David Fletcher [ctb] ,
Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between secr versions 5.0.0 dated 2024-10-02 and 5.1.0 dated 2024-11-04
secr-5.0.0/secr/R/secr.make.newdata.R |only secr-5.1.0/secr/DESCRIPTION | 8 secr-5.1.0/secr/MD5 | 67 ++-- secr-5.1.0/secr/NAMESPACE | 2 secr-5.1.0/secr/NEWS | 26 + secr-5.1.0/secr/R/CV.R | 3 secr-5.1.0/secr/R/MCgof.R | 83 +++- secr-5.1.0/secr/R/detectpar.R |only secr-5.1.0/secr/R/esaPlot.R | 3 secr-5.1.0/secr/R/fxi.R | 20 + secr-5.1.0/secr/R/makeNewData.R |only secr-5.1.0/secr/R/methods.R | 136 -------- secr-5.1.0/secr/R/plot.capthist.r | 19 + secr-5.1.0/secr/R/predict.secr.R | 466 ++++++++++++++-------------- secr-5.1.0/secr/R/secr.test.R | 6 secr-5.1.0/secr/R/sim.popn.R | 9 secr-5.1.0/secr/R/simulate.R | 40 +- secr-5.1.0/secr/R/split.capthist.R | 49 +- secr-5.1.0/secr/R/suggest.buffer.R | 15 secr-5.1.0/secr/R/summary.capthist.R | 14 secr-5.1.0/secr/R/utility.R | 28 + secr-5.1.0/secr/inst/doc/secr-datainput.pdf |binary secr-5.1.0/secr/inst/doc/secr-overview.Rmd | 2 secr-5.1.0/secr/inst/doc/secr-overview.pdf |binary secr-5.1.0/secr/man/MCgof.Rd | 10 secr-5.1.0/secr/man/details.Rd | 8 secr-5.1.0/secr/man/makeNewData.Rd | 6 secr-5.1.0/secr/man/plot.capthist.Rd | 6 secr-5.1.0/secr/man/secr-deprecated.Rd | 2 secr-5.1.0/secr/man/secr-package.Rd | 4 secr-5.1.0/secr/man/secr.fit.Rd | 1 secr-5.1.0/secr/man/sim.popn.Rd | 2 secr-5.1.0/secr/man/sim.secr.Rd | 16 secr-5.1.0/secr/man/subset.capthist.Rd | 3 secr-5.1.0/secr/tests/testthat/test-MCgof.R | 6 secr-5.1.0/secr/vignettes/secr-overview.Rmd | 2 36 files changed, 549 insertions(+), 513 deletions(-)
Title: Fast Staggered Difference-in-Difference Estimators
Description: A fast and flexible implementation of Callaway and Sant'Anna's (2021)<doi:10.1016/j.jeconom.2020.12.001> staggered Difference-in-Differences (DiD) estimators, 'fastdid' reduces the computation time from hours to seconds, and incorporates extensions such as time-varying covariates and multiple events.
Author: Lin-Tung Tsai [aut, cre, cph],
Maxwell Kellogg [ctb],
Kuan-Ju Tseng [ctb]
Maintainer: Lin-Tung Tsai <tsaidondon@gmail.com>
Diff between fastdid versions 1.0.2 dated 2024-10-28 and 1.0.3 dated 2024-11-04
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 6 ++++++ inst/tinytest/test_1_fastdid.R | 20 ++++++++++---------- 4 files changed, 22 insertions(+), 16 deletions(-)
Title: Ecological Inference Applying Entropy
Description: Implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." <doi:10.1007/s11205-020-02455-z>. Díaz-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." <doi:10.1111/rsp3.12379>.
Author: Alberto Diaz-Dapena [aut, cph],
Esteban Fernandez-Vazquez [aut, cph],
Silvia Maria Franco Anaya [aut, cre, cph]
Maintainer: Silvia Maria Franco Anaya <sfrana@unileon.es>
Diff between EIEntropy versions 0.0.1.2 dated 2024-11-02 and 0.0.1.3 dated 2024-11-04
DESCRIPTION | 6 MD5 | 28 NEWS.md | 6 R/ei_gce.R | 29 R/ei_gme.R | 31 inst/doc/EIVignette.R | 8 inst/doc/EIVignette.Rmd | 8 inst/doc/EIVignette.html | 2562 +++++++++++++++++++++++------------------------ man/ei_gce.Rd | 8 man/ei_gme.Rd | 10 man/plot.kl.Rd | 2 man/plot.shannon.Rd | 2 man/summary.kl.Rd | 2 man/summary.shannon.Rd | 2 vignettes/EIVignette.Rmd | 8 15 files changed, 1363 insertions(+), 1349 deletions(-)
Title: Client for the 'DHIS2' Web API
Description: Connect and pull data from a 'DHIS2 (District Health Information Software 2)' instance into R.
Author: Robinson Amanyiraho [cre, aut, cph]
Maintainer: Robinson Amanyiraho <amanyiraho@gmail.com>
Diff between dhis2r versions 0.2.0 dated 2024-10-29 and 0.2.1 dated 2024-11-04
DESCRIPTION | 6 - MD5 | 12 +- NEWS.md | 7 + inst/doc/dhis2r.R | 3 inst/doc/dhis2r.Rmd | 8 + inst/doc/dhis2r.html | 299 +++++++++++++++++++++++++-------------------------- vignettes/dhis2r.Rmd | 8 + 7 files changed, 185 insertions(+), 158 deletions(-)
Title: Methods for Changepoint Detection
Description: Implements various mainstream and specialised changepoint methods for finding single and multiple changepoints within data. Many popular non-parametric and frequentist methods are included. The cpt.mean(), cpt.var(), cpt.meanvar() functions should be your first point of call.
Author: Rebecca Killick [aut, cre],
Kaylea Haynes [ctb],
Harjit Hullait [ctb],
Idris Eckley [ths],
Paul Fearnhead [ctb, ths],
Robin Long [ctb],
Jamie Lee [ctr]
Maintainer: Rebecca Killick <r.killick@lancs.ac.uk>
Diff between changepoint versions 2.2.4 dated 2022-11-03 and 2.3 dated 2024-11-04
DESCRIPTION | 19 MD5 | 67 - NAMESPACE | 4 NEWS | 22 R/BinSeg_one_func_minseglen.R | 26 R/CptReg.R |only R/class_input.R | 22 R/cpt.R | 45 R/cpt.class.R | 515 ++++------ R/decision.R | 2 R/fit.R |only R/penalty_decision.R | 12 R/zzz.R | 5 man/changepoint-package.Rd | 6 man/cpt.mean.Rd | 26 man/cpt.meanvar.Rd | 18 man/cpt.reg.Rd |only man/cpt.var.Rd | 18 man/fitted-methods.Rd |only man/ftse100.Rd | 2 man/nseg-methods.Rd | 7 man/nseg.Rd | 5 man/plot-methods.Rd | 6 man/residuals-methods.Rd |only man/seg.len-methods.Rd | 6 man/seg.len.Rd | 5 src/C_cptreg.c |only src/Makevars |only src/changepoint_init.c | 10 tests/figs/plot-diagnostic-true-tests/diagnostic-plot-default.svg | 76 - tests/figs/plot-diagnostic-true-tests/diagnostic-plot-histogram.svg | 341 +++--- tests/testthat/Rplots.pdf |only tests/testthat/_snaps |only tests/testthat/test-cptmean.R | 100 - tests/testthat/test-cptmeanvar.R | 158 +-- tests/testthat/test-cptreg.R |only tests/testthat/test-cptvar.R | 146 +- tests/testthat/test-examples.R | 55 - tests/testthat/test-plot.R | 4 39 files changed, 856 insertions(+), 872 deletions(-)
Title: An R Package for Biomarkers Analysis in Precision Medicine
Description: Provides functions for training extreme gradient boosting model using propensity score A-learning and weight-learning methods. For further details, see Liu et al. (2024) <doi:10.1093/bioinformatics/btae592>.
Author: Zihuan Liu [aut, cre],
Yan Sun [aut],
Xin Huang [aut]
Maintainer: Zihuan Liu <zihuan.liu@abbvie.com>
Diff between BioPred versions 1.0.1 dated 2024-06-06 and 1.0.2 dated 2024-11-04
DESCRIPTION | 12 MD5 | 56 ++-- R/Utilities.R | 497 ++++++++++++++++++++++++++++++++++++++++ R/XGBoostSub_bin.R | 41 +++ R/XGBoostSub_continuous.R | 42 +++ R/XGBoostSub_sur.R | 44 +++ README.md |only build/vignette.rds |binary inst/doc/Tutorial.Rmd | 4 inst/doc/Tutorial.html | 262 ++++++++++----------- man/XGBoostSub_bin.Rd | 41 +++ man/XGBoostSub_con.Rd | 41 +++ man/XGBoostSub_sur.Rd | 44 +++ man/cat_summary.Rd | 19 + man/cdf_plot.Rd | 25 ++ man/cut_perf.Rd | 34 ++ man/figures |only man/fixcut_bin.Rd | 46 +++ man/fixcut_con.Rd | 33 ++ man/fixcut_sur.Rd | 21 + man/gam_ctr_plot.Rd | 47 +++ man/gam_plot.Rd | 46 +++ man/get_subgroup_results.Rd | 28 ++ man/predictive_biomarker_imp.Rd | 28 ++ man/roc_bin.Rd | 28 ++ man/roc_bin_plot.Rd | 28 ++ man/scat_cont_plot.Rd | 26 ++ man/subgrp_perf.Rd | 45 +++ man/subgrp_perf_pred.Rd | 54 ++++ vignettes/Tutorial.Rmd | 4 30 files changed, 1424 insertions(+), 172 deletions(-)