Title: Core Utilities for Developing and Running Spatially Explicit
Discrete Event Models
Description: Provides the core framework for a discrete event system to
implement a complete data-to-decisions, reproducible workflow.
The core components facilitate the development of modular pieces,
and enable the user to include additional functionality by running user-built modules.
Includes conditional scheduling, restart after interruption, packaging of
reusable modules, tools for developing arbitrary automated workflows,
automated interweaving of modules of different temporal resolution,
and tools for visualizing and understanding the within-project dependencies.
The suggested package 'NLMR' can be installed from the repository
(<https://PredictiveEcology.r-universe.dev>).
Author: Alex M Chubaty [aut] ,
Eliot J B McIntire [aut, cre] ,
Yong Luo [ctb],
Steve Cumming [ctb],
Ceres Barros [ctb] ,
His Majesty the King in Right of Canada, as represented by the Minister
of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Diff between SpaDES.core versions 2.0.4 dated 2024-04-16 and 2.0.5 dated 2024-04-25
DESCRIPTION | 8 - MD5 | 22 +-- NEWS.md | 4 build/vignette.rds |binary inst/doc/i-introduction.html | 2 inst/doc/ii-modules.html | 58 ++++----- inst/doc/iii-cache.html | 240 +++++++++++++++++++------------------- inst/doc/iv-advanced.html | 2 inst/doc/v-automated-testing.html | 2 tests/testthat/test-cache.R | 14 +- tests/testthat/test-checkpoint.R | 1 tests/testthat/test-save.R | 4 12 files changed, 184 insertions(+), 173 deletions(-)
Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut],
Carles Mila [aut],
Marvin Ludwig [aut],
Jan Linnenbrink [aut],
Fabian Schumacher [aut],
Philipp Otto [ctb],
Chris Reudenbach [ctb],
Thomas Nauss [ctb],
Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>
Diff between CAST versions 1.0.0 dated 2024-04-08 and 1.0.1 dated 2024-04-25
DESCRIPTION | 8 +- MD5 | 44 +++++------ NEWS.md | 3 R/CAST-package.R | 2 README.md | 4 + inst/doc/cast01-CAST-intro.R | 2 inst/doc/cast01-CAST-intro.Rmd | 4 - inst/doc/cast01-CAST-intro.html | 43 +++++------ inst/doc/cast02-plotgeodist.R | 25 ------ inst/doc/cast02-plotgeodist.Rmd | 34 +------- inst/doc/cast02-plotgeodist.html | 102 ++++++++++---------------- inst/doc/cast03-CV.html | 4 - inst/doc/cast04-AOA-tutorial.R | 2 inst/doc/cast04-AOA-tutorial.Rmd | 2 inst/doc/cast04-AOA-tutorial.html | 6 - inst/doc/cast05-parallel.html | 4 - man/CAST.Rd | 2 tests/testthat/test-errorProfiles.R | 13 ++- tests/testthat/test-fss.R | 124 +++++++++++++++++--------------- tests/testthat/test-global_validation.R | 11 +- vignettes/cast01-CAST-intro.Rmd | 4 - vignettes/cast02-plotgeodist.Rmd | 34 +------- vignettes/cast04-AOA-tutorial.Rmd | 2 23 files changed, 212 insertions(+), 267 deletions(-)
Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich,
some of which were ported from S-plus in the 1990s.
For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe
plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()',
pretty arrows, etc.
For robustness, have a robust F test and robust range().
For system support, notably on Linux, provides 'Sys.*()' functions with
more access to system and CPU information.
Finally, miscellaneous utilities such as simple efficient prime numbers,
integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] ,
Werner Stahel [ctb] , f.robftest, last,
p.scales, p.dnorm),
Andreas Ruckstuhl [ctb] , p.profileTraces,
p.res.2x),
Christian Keller [ctb] , p.tachoPlot),
Kjetil Halvorsen [ctb] , ecdf.ksCI),
Alain Hauser [ctb] , is.whole,
[...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Diff between sfsmisc versions 1.1-17 dated 2024-02-01 and 1.1-18 dated 2024-04-25
DESCRIPTION | 10 +++++----- MD5 | 22 +++++++++++----------- R/misc-goodies.R | 10 +++++++--- R/p.goodies.R | 1 - R/sessionInfo-ext.R | 5 +++++ build/partial.rdb |binary inst/NEWS.Rd | 14 ++++++++++++++ man/f.robftest.Rd | 2 +- man/integrate.xy.Rd | 2 +- man/polyn.eval.Rd | 6 ++++++ man/sessionInfoX.Rd | 1 + man/xy.grid.Rd | 2 +- 12 files changed, 52 insertions(+), 23 deletions(-)
Title: Estimation of the Weights Attached to the Two-Way Fixed Effects
Regressions
Description: Estimates the weights and measure of robustness to treatment effect heterogeneity attached to two-way fixed effects regressions.
Clément de Chaisemartin, Xavier D'Haultfœuille (2020) <DOI: 10.1257/aer.20181169>.
Author: Diego Ciccia [aut, cre],
Felix Knau [aut],
Melitine Malezieux [aut],
Doulo Sow [aut],
Shuo Zhang [aut],
Clement de Chaisemartin [aut],
Grant McDermott [ctb]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>
Diff between TwoWayFEWeights versions 2.0.2 dated 2024-04-15 and 2.0.3 dated 2024-04-25
DESCRIPTION | 6 ++-- MD5 | 10 +++---- R/print.R | 55 +++++++++++++----------------------------- R/twowayfeweights_calculate.R | 3 -- R/twowayfeweights_result.R | 11 ++++++++ R/utils.R | 2 - 6 files changed, 39 insertions(+), 48 deletions(-)
More information about TwoWayFEWeights at CRAN
Permanent link
Title: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or
'greta' - While Adjusting Burn-in and Thinning Parameters
Description: The function runMCMC_btadjust() returns a mcmc.list object which is the output of a
Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' - after adjusting burn-in and thinning parameters to meet
pre-specified criteria in terms of convergence & effective sample size.
Author: Frederic Gosselin [cre, aut] ,
Institut national de recherche pour l'agriculture, l'alimentation et
l'environnement [cph]
Maintainer: Frederic Gosselin <frederic.gosselin@inrae.fr>
Diff between runMCMCbtadjust versions 1.0.5 dated 2023-12-13 and 1.1.0 dated 2024-04-25
DESCRIPTION | 9 MD5 | 31 NAMESPACE | 1 NEWS.md | 47 R/findMCMC_strong_corrs.R |only R/runMCMC_btadjust.r | 3884 +++++++++++++++++++---------- build/vignette.rds |binary inst/doc/runMCMCbtadjust_Presentation.R | 69 inst/doc/runMCMCbtadjust_Presentation.Rmd | 7 inst/doc/runMCMCbtadjust_Presentation.html | 1198 ++++++-- man/findMCMC_strong_corrs.Rd |only man/fragments/Greta_fragment.Rmd | 20 man/fragments/Jags_fragment.Rmd | 12 man/fragments/Nimble&Jags2_fragment.rmd |only man/fragments/Nimble1_alone_fragment.Rmd | 91 man/runMCMC_btadjust.Rd | 150 - tests/testthat/test-runMCMC_btadjust.R | 7 vignettes/runMCMCbtadjust_Presentation.Rmd | 7 18 files changed, 3810 insertions(+), 1723 deletions(-)
More information about runMCMCbtadjust at CRAN
Permanent link
Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global and local L1 centrality/prestige and L1 centrality/prestige-based neighborhoods of vertices are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2024) <doi:10.48550/arXiv.2404.13233>.
Author: Seungwoo Kang [aut, cre] ,
Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401@snu.ac.kr>
Diff between L1centrality versions 0.0.3 dated 2024-01-09 and 0.1.1 dated 2024-04-25
DESCRIPTION | 10 +- MD5 | 40 +++++------ NEWS.md | 18 +++++ R/L1cent.R | 150 ++++++++++++++++++++++++++++++-------------- R/L1centEDGE.R | 5 + R/L1centLOC.R | 66 +++++++++++-------- R/L1centMDS.R | 14 ++-- R/L1centNB.R | 63 +++++++++++++----- R/L1centrality-package.R | 35 ++++++++-- R/MCUmovie.R | 6 - R/rokassembly21.R | 4 - R/validate.R | 10 +- man/L1cent.Rd | 121 ++++++++++++++++++++++++----------- man/L1centEDGE.Rd | 4 - man/L1centLOC.Rd | 66 +++++++++++++------ man/L1centMDS.Rd | 10 +- man/L1centNB.Rd | 64 ++++++++++++++---- man/L1centrality-package.Rd | 36 ++++++++-- man/Lorenz_plot.Rd | 2 man/MCUmovie.Rd | 6 - man/rokassembly21.Rd | 4 - 21 files changed, 509 insertions(+), 225 deletions(-)
Title: Methods for High-Dimensional Repeated Measures Data
Description: A toolkit for the analysis of high-dimensional repeated measurements, providing functions
for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.
Author: Klaus Jung [aut, cre],
Jochen Kruppa [aut],
Sergej Ruff [aut]
Maintainer: Klaus Jung <klaus.jung@tiho-hannover.de>
Diff between RepeatedHighDim versions 2.2.0 dated 2023-06-29 and 2.3.0 dated 2024-04-25
DESCRIPTION | 15 - MD5 | 96 +++++------ NAMESPACE | 107 ++++++------ R/GA_diagplot.R | 128 +++++++-------- R/GlobTestMissing.R | 148 ++++++++--------- R/RepeatedHighDim-package.R | 220 +++++++++++++------------- R/RepeatedHighDim.R | 84 +++++----- R/TestStatSP.R | 134 ++++++++-------- R/TestStatSimple.R | 58 +++--- R/bag.R | 367 ++++++++++++++++++++++---------------------- R/check_limma.R | 50 +++-- R/depmed.R | 139 ++++++++-------- R/fc_ci.R | 172 ++++++++++---------- R/fc_plot.R | 196 +++++++++++------------ R/gem.R | 229 +++++++++++++-------------- R/gridfun.R | 92 +++++------ R/hldepth.R | 177 ++++++++++----------- R/iter_matrix.R | 172 ++++++++++---------- R/loop.R | 241 ++++++++++++++-------------- R/netRNA.R |only R/rho_bounds.R | 96 +++++------ R/rmvbinary_EP.R | 116 +++++++------ R/rmvbinary_QA.R | 100 ++++++----- R/sequence_probs.R | 80 ++++----- R/start_matrix.R | 70 ++++---- R/summary_RHD.R | 62 +++---- build/partial.rdb |binary man/GA_diagplot.Rd | 5 man/GlobTestMissing.Rd | 3 man/RHighDim.Rd | 3 man/RepeatedHighDim.Rd | 9 - man/TestStatSP.Rd | 3 man/TestStatSimple.Rd | 3 man/bag.Rd | 114 +++++++------ man/check_limma.Rd | 3 man/depmed.Rd | 28 +-- man/fc_ci.Rd | 3 man/fc_plot.Rd | 3 man/gem.Rd | 158 +++++++++--------- man/gridfun.Rd | 3 man/hldepth.Rd | 26 +-- man/iter_matrix.Rd | 3 man/loop.Rd | 116 +++++++------ man/netRNA.Rd |only man/rho_bounds.Rd | 3 man/rmvbinary_EP.Rd | 3 man/rmvbinary_QA.Rd | 3 man/sequence_probs.Rd | 3 man/start_matrix.Rd | 3 man/summary_RHD.Rd | 3 50 files changed, 1991 insertions(+), 1859 deletions(-)
More information about RepeatedHighDim at CRAN
Permanent link
Title: Mobility Network Analysis
Description: Implements the method to analyse weighted mobility networks or distribution networks as outlined in:
Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>.
The purpose of the model is to analyse the structure of mobility,
incorporating exogenous predictors pertaining to individuals and locations
known from classical mobility analyses, as well as modelling emergent mobility
patterns akin to structural patterns known from the statistical analysis of social networks.
Author: Per Block [cre, aut, cph] ,
Christoph Stadtfeld [aut] ,
Nico Keiser [aut],
Marion Hoffman [aut]
Maintainer: Per Block <block@soziologie.uzh.ch>
Diff between MoNAn versions 0.1.3 dated 2024-02-05 and 1.0.0 dated 2024-04-25
MoNAn-0.1.3/MoNAn/data/myCache.rda |only MoNAn-1.0.0/MoNAn/DESCRIPTION | 10 MoNAn-1.0.0/MoNAn/MD5 | 99 +-- MoNAn-1.0.0/MoNAn/NAMESPACE | 38 - MoNAn-1.0.0/MoNAn/NEWS.md | 51 + MoNAn-1.0.0/MoNAn/R/1_hiddenFunctions.R | 160 ++++ MoNAn-1.0.0/MoNAn/R/2_effectFunctions.R | 214 ------ MoNAn-1.0.0/MoNAn/R/2c_effectFunctions_concentration.R | 198 +++++- MoNAn-1.0.0/MoNAn/R/2f_effectFunctions_endogenousCovariateBased.R |only MoNAn-1.0.0/MoNAn/R/2x_effects_test.R | 40 - MoNAn-1.0.0/MoNAn/R/3_coreFunctions.R | 298 +++++---- MoNAn-1.0.0/MoNAn/R/3b_wrapperFunctions.R |only MoNAn-1.0.0/MoNAn/R/4_auxiliaryFunctions.R | 276 +++++++- MoNAn-1.0.0/MoNAn/R/myOutcomeObjects.R | 10 MoNAn-1.0.0/MoNAn/R/sysdata.rda |binary MoNAn-1.0.0/MoNAn/R/zzz.R |only MoNAn-1.0.0/MoNAn/README.md | 327 +++++++--- MoNAn-1.0.0/MoNAn/data/myAlg.rda |binary MoNAn-1.0.0/MoNAn/data/myEffects.rda |binary MoNAn-1.0.0/MoNAn/data/myResDN.rda |binary MoNAn-1.0.0/MoNAn/data/mySimDN.rda |binary MoNAn-1.0.0/MoNAn/data/myState.rda |binary MoNAn-1.0.0/MoNAn/man/addEffect.Rd |only MoNAn-1.0.0/MoNAn/man/avoiding_dissimilar_covar_bin.Rd |only MoNAn-1.0.0/MoNAn/man/avoiding_dissimilar_covar_cont.Rd |only MoNAn-1.0.0/MoNAn/man/concentration_GW_resource_covar_bin.Rd |only MoNAn-1.0.0/MoNAn/man/concentration_basic_squared.Rd |only MoNAn-1.0.0/MoNAn/man/concentration_norm.Rd |only MoNAn-1.0.0/MoNAn/man/concentration_norm_squared.Rd |only MoNAn-1.0.0/MoNAn/man/createAlgorithm.Rd | 20 MoNAn-1.0.0/MoNAn/man/createEdgelist.Rd | 11 MoNAn-1.0.0/MoNAn/man/createEffects.Rd |only MoNAn-1.0.0/MoNAn/man/createNetwork.Rd | 15 MoNAn-1.0.0/MoNAn/man/createNodeSet.Rd | 6 MoNAn-1.0.0/MoNAn/man/createNodeVariable.Rd | 25 MoNAn-1.0.0/MoNAn/man/createWeightedCache.Rd | 21 MoNAn-1.0.0/MoNAn/man/crowding_out_prop_covar_bin.Rd | 2 MoNAn-1.0.0/MoNAn/man/estimateMobilityNetwork.Rd | 55 + MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-18-1.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-18-2.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-18-3.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-19-1.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-19-2.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-19-3.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-20-1.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-20-2.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-21-1.png |binary MoNAn-1.0.0/MoNAn/man/figures/README-unnamed-chunk-21-2.png |binary MoNAn-1.0.0/MoNAn/man/getMultinomialStatistics.Rd | 10 MoNAn-1.0.0/MoNAn/man/gofMobilityNetwork.Rd | 30 MoNAn-1.0.0/MoNAn/man/joining_similar_avoiding_dissimilar_covar_bin.Rd |only MoNAn-1.0.0/MoNAn/man/joining_similar_avoiding_dissimilar_covar_cont.Rd |only MoNAn-1.0.0/MoNAn/man/monanDataCreate.Rd |only MoNAn-1.0.0/MoNAn/man/myOutcomeObjects.Rd | 7 MoNAn-1.0.0/MoNAn/man/print.effectsList.monan.Rd |only MoNAn-1.0.0/MoNAn/man/print.processState.monan.Rd |only MoNAn-1.0.0/MoNAn/man/scoreTest.Rd | 14 MoNAn-1.0.0/MoNAn/man/simulateMobilityNetworks.Rd | 26 MoNAn-1.0.0/MoNAn/man/staying_by_prop_bin_inflow.Rd | 2 59 files changed, 1327 insertions(+), 638 deletions(-)
Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built
on top of the 'libuv' C library.
Author: Jim Hester [aut],
Hadley Wickham [aut],
Gabor Csardi [aut, cre],
libuv project contributors [cph] ,
Joyent, Inc. and other Node contributors [cph] ,
Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Diff between fs versions 1.6.3 dated 2023-07-20 and 1.6.4 dated 2024-04-25
DESCRIPTION | 18 ++++++------- LICENSE | 2 - MD5 | 27 ++++++++++--------- NEWS.md | 4 ++ R/file.R | 2 - R/path.R | 2 - R/tree.R | 2 - README.md | 71 ++++++++++++++++++++++++---------------------------- build/vignette.rds |binary inst/WORDLIST | 2 - man/figures |only man/file_info.Rd | 2 - man/fs-package.Rd | 6 ++-- src/CollectorList.h | 12 +++++++- src/Makevars | 2 - 15 files changed, 81 insertions(+), 71 deletions(-)
Title: Continuous Time Meta-Analysis ('CoTiMA')
Description: The 'CoTiMA' package performs meta-analyses of correlation matrices of repeatedly measured variables taken from
studies that used different time intervals. Different time intervals between measurement occasions impose problems for
meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of common
fixed or random effects analysis. However, continuous time math, which is applied in 'CoTiMA', can be used to extrapolate or
intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different
time intervals can be meta-analyzed. 'CoTiMA' fits models to empirical data using the structural equation model (SEM) package
'ctsem', the effects specified in a SEM are related to parameters that are not directly included in the model (i.e.,
continuous time parameters; together, they represent the continuous time structural equation model, CTSEM). Statistical
model comparisons and significance [...truncated...]
Author: Christian Dormann [aut, cph],
Markus Homberg [aut, com, cre],
Olga Diener [ctb],
Christina Guthier [ctb],
Manuel Voelkle [ctb]
Maintainer: Markus Homberg <cotima@uni-mainz.de>
Diff between CoTiMA versions 0.7.0 dated 2023-12-16 and 0.8.0 dated 2024-04-25
CoTiMA-0.7.0/CoTiMA/data/CoTiMAStanctArgs.rda |only CoTiMA-0.7.0/CoTiMA/data/CoTiMAoptimFit313.rda |only CoTiMA-0.7.0/CoTiMA/data/addedByResearcher2.rda |only CoTiMA-0.7.0/CoTiMA/data/addedByResearcher3.rda |only CoTiMA-0.7.0/CoTiMA/data/addedByResearcher313.rda |only CoTiMA-0.7.0/CoTiMA/data/ageM2.rda |only CoTiMA-0.7.0/CoTiMA/data/ageM3.rda |only CoTiMA-0.7.0/CoTiMA/data/ageSD2.rda |only CoTiMA-0.7.0/CoTiMA/data/ageSD3.rda |only CoTiMA-0.7.0/CoTiMA/data/burnout2.rda |only CoTiMA-0.7.0/CoTiMA/data/burnout3.rda |only CoTiMA-0.7.0/CoTiMA/data/country2.rda |only CoTiMA-0.7.0/CoTiMA/data/country3.rda |only CoTiMA-0.7.0/CoTiMA/data/delta_t2.rda |only CoTiMA-0.7.0/CoTiMA/data/delta_t3.rda |only CoTiMA-0.7.0/CoTiMA/data/demands2.rda |only CoTiMA-0.7.0/CoTiMA/data/demands3.rda |only CoTiMA-0.7.0/CoTiMA/data/empcov2.rda |only CoTiMA-0.7.0/CoTiMA/data/empcov3.rda |only CoTiMA-0.7.0/CoTiMA/data/malePercent2.rda |only CoTiMA-0.7.0/CoTiMA/data/malePercent3.rda |only CoTiMA-0.7.0/CoTiMA/data/moderator2.rda |only CoTiMA-0.7.0/CoTiMA/data/moderator3.rda |only CoTiMA-0.7.0/CoTiMA/data/occupation2.rda |only CoTiMA-0.7.0/CoTiMA/data/occupation3.rda |only CoTiMA-0.7.0/CoTiMA/data/rawdata128.rda |only CoTiMA-0.7.0/CoTiMA/data/rawdata128.txt |only CoTiMA-0.7.0/CoTiMA/data/sampleSize2.rda |only CoTiMA-0.7.0/CoTiMA/data/sampleSize3.rda |only CoTiMA-0.7.0/CoTiMA/data/source2.rda |only CoTiMA-0.7.0/CoTiMA/data/source3.rda |only CoTiMA-0.7.0/CoTiMA/data/targetVariables2.rda |only CoTiMA-0.7.0/CoTiMA/data/targetVariables3.rda |only CoTiMA-0.7.0/CoTiMA/man/CoTiMAoptimFit313.Rd |only CoTiMA-0.7.0/CoTiMA/man/addedByResearcher2.Rd |only CoTiMA-0.7.0/CoTiMA/man/addedByResearcher3.Rd |only CoTiMA-0.7.0/CoTiMA/man/addedByResearcher313.Rd |only CoTiMA-0.7.0/CoTiMA/man/ageM2.Rd |only CoTiMA-0.7.0/CoTiMA/man/ageM3.Rd |only CoTiMA-0.7.0/CoTiMA/man/ageSD2.Rd |only CoTiMA-0.7.0/CoTiMA/man/ageSD3.Rd |only CoTiMA-0.7.0/CoTiMA/man/burnout2.Rd |only CoTiMA-0.7.0/CoTiMA/man/burnout3.Rd |only CoTiMA-0.7.0/CoTiMA/man/country2.Rd |only CoTiMA-0.7.0/CoTiMA/man/country3.Rd |only CoTiMA-0.7.0/CoTiMA/man/delta_t2.Rd |only CoTiMA-0.7.0/CoTiMA/man/delta_t3.Rd |only CoTiMA-0.7.0/CoTiMA/man/demands2.Rd |only CoTiMA-0.7.0/CoTiMA/man/demands3.Rd |only CoTiMA-0.7.0/CoTiMA/man/empcov2.Rd |only CoTiMA-0.7.0/CoTiMA/man/empcov3.Rd |only CoTiMA-0.7.0/CoTiMA/man/malePercent2.Rd |only CoTiMA-0.7.0/CoTiMA/man/malePercent3.Rd |only CoTiMA-0.7.0/CoTiMA/man/moderator2.Rd |only CoTiMA-0.7.0/CoTiMA/man/moderator3.Rd |only CoTiMA-0.7.0/CoTiMA/man/occupation2.Rd |only CoTiMA-0.7.0/CoTiMA/man/occupation3.Rd |only CoTiMA-0.7.0/CoTiMA/man/rawData128.Rd |only CoTiMA-0.7.0/CoTiMA/man/sampleSize2.Rd |only CoTiMA-0.7.0/CoTiMA/man/sampleSize3.Rd |only CoTiMA-0.7.0/CoTiMA/man/source2.Rd |only CoTiMA-0.7.0/CoTiMA/man/source3.Rd |only CoTiMA-0.7.0/CoTiMA/man/targetVariables2.Rd |only CoTiMA-0.7.0/CoTiMA/man/targetVariables3.Rd |only CoTiMA-0.8.0/CoTiMA/DESCRIPTION | 21 CoTiMA-0.8.0/CoTiMA/MD5 | 416 +-- CoTiMA-0.8.0/CoTiMA/R/ctmaAllInvFit.R | 53 CoTiMA-0.8.0/CoTiMA/R/ctmaBiG.R | 1 CoTiMA-0.8.0/CoTiMA/R/ctmaEmpCov.R | 12 CoTiMA-0.8.0/CoTiMA/R/ctmaEqual.R | 19 CoTiMA-0.8.0/CoTiMA/R/ctmaFit.R | 1406 ++++++---- CoTiMA-0.8.0/CoTiMA/R/ctmaFitToPrep.R | 2 CoTiMA-0.8.0/CoTiMA/R/ctmaInit.R | 1477 ++++++----- CoTiMA-0.8.0/CoTiMA/R/ctmaLabels.R | 18 CoTiMA-0.8.0/CoTiMA/R/ctmaOptimizeFit.R | 486 ++- CoTiMA-0.8.0/CoTiMA/R/ctmaPlotCtsemMod.R | 131 CoTiMA-0.8.0/CoTiMA/R/ctmaPower.R | 8 CoTiMA-0.8.0/CoTiMA/R/ctmaPrep.R | 762 +++-- CoTiMA-0.8.0/CoTiMA/R/ctmaPub.R | 2 CoTiMA-0.8.0/CoTiMA/R/ctmaRedHet.R | 1861 +++++--------- CoTiMA-0.8.0/CoTiMA/R/ctmaShapeRawData.R | 10 CoTiMA-0.8.0/CoTiMA/R/ctmaStanctArgs.R | 38 CoTiMA-0.8.0/CoTiMA/R/data.R | 236 - CoTiMA-0.8.0/CoTiMA/build/vignette.rds |binary CoTiMA-0.8.0/CoTiMA/data/A128.rda |binary CoTiMA-0.8.0/CoTiMA/data/A313.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMABiG_D_BO.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAFullFit_3.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAFullFit_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAFullFit_6_new.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAFullInv23Fit_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAFullInvEq23Fit_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAInitFit_3.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAInitFit_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAInitFit_6_NUTS.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAInitFit_6_new.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAInitFit_D_BO.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAMod1onFullFit_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAMod1onFullFit_6_cats12.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAMod2on23Fit_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAPart134Inv3Fit_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAPower_D_BO.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAstudyList_3.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAstudyList_6.rda |binary CoTiMA-0.8.0/CoTiMA/data/CoTiMAstudyList_6_new.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageM1.rda |only CoTiMA-0.8.0/CoTiMA/data/ageM128.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageM18.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageM201.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageM313.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageM32.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageM4.rda |only CoTiMA-0.8.0/CoTiMA/data/ageSD1.rda |only CoTiMA-0.8.0/CoTiMA/data/ageSD128.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageSD18.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageSD201.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageSD313.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageSD32.rda |binary CoTiMA-0.8.0/CoTiMA/data/ageSD4.rda |only CoTiMA-0.8.0/CoTiMA/data/alphas128.rda |binary CoTiMA-0.8.0/CoTiMA/data/alphas313.rda |binary CoTiMA-0.8.0/CoTiMA/data/burnout1.rda |only CoTiMA-0.8.0/CoTiMA/data/burnout128.rda |binary CoTiMA-0.8.0/CoTiMA/data/burnout18.rda |binary CoTiMA-0.8.0/CoTiMA/data/burnout201.rda |binary CoTiMA-0.8.0/CoTiMA/data/burnout313.rda |binary CoTiMA-0.8.0/CoTiMA/data/burnout32.rda |binary CoTiMA-0.8.0/CoTiMA/data/burnout4.rda |only CoTiMA-0.8.0/CoTiMA/data/combineVariables128.rda |binary CoTiMA-0.8.0/CoTiMA/data/combineVariablesNames128.rda |binary CoTiMA-0.8.0/CoTiMA/data/country1.rda |only CoTiMA-0.8.0/CoTiMA/data/country128.rda |binary CoTiMA-0.8.0/CoTiMA/data/country18.rda |binary CoTiMA-0.8.0/CoTiMA/data/country201.rda |binary CoTiMA-0.8.0/CoTiMA/data/country313.rda |binary CoTiMA-0.8.0/CoTiMA/data/country32.rda |binary CoTiMA-0.8.0/CoTiMA/data/country4.rda |only CoTiMA-0.8.0/CoTiMA/data/delta_t1.rda |only CoTiMA-0.8.0/CoTiMA/data/delta_t128.rda |binary CoTiMA-0.8.0/CoTiMA/data/delta_t18.rda |binary CoTiMA-0.8.0/CoTiMA/data/delta_t201.rda |binary CoTiMA-0.8.0/CoTiMA/data/delta_t228.rda |only CoTiMA-0.8.0/CoTiMA/data/delta_t313.rda |binary CoTiMA-0.8.0/CoTiMA/data/delta_t32.rda |binary CoTiMA-0.8.0/CoTiMA/data/delta_t4.rda |only CoTiMA-0.8.0/CoTiMA/data/demands1.rda |only CoTiMA-0.8.0/CoTiMA/data/demands128.rda |binary CoTiMA-0.8.0/CoTiMA/data/demands18.rda |binary CoTiMA-0.8.0/CoTiMA/data/demands201.rda |binary CoTiMA-0.8.0/CoTiMA/data/demands313.rda |binary CoTiMA-0.8.0/CoTiMA/data/demands32.rda |binary CoTiMA-0.8.0/CoTiMA/data/demands4.rda |only CoTiMA-0.8.0/CoTiMA/data/dl_link.rda |binary CoTiMA-0.8.0/CoTiMA/data/empcov1.rda |only CoTiMA-0.8.0/CoTiMA/data/empcov128.rda |binary CoTiMA-0.8.0/CoTiMA/data/empcov18.rda |binary CoTiMA-0.8.0/CoTiMA/data/empcov201.rda |binary CoTiMA-0.8.0/CoTiMA/data/empcov313.rda |binary CoTiMA-0.8.0/CoTiMA/data/empcov32.rda |binary CoTiMA-0.8.0/CoTiMA/data/empcov4.rda |only CoTiMA-0.8.0/CoTiMA/data/malePercent1.rda |only CoTiMA-0.8.0/CoTiMA/data/malePercent128.rda |binary CoTiMA-0.8.0/CoTiMA/data/malePercent18.rda |binary CoTiMA-0.8.0/CoTiMA/data/malePercent201.rda |binary CoTiMA-0.8.0/CoTiMA/data/malePercent313.rda |binary CoTiMA-0.8.0/CoTiMA/data/malePercent32.rda |binary CoTiMA-0.8.0/CoTiMA/data/malePercent4.rda |only CoTiMA-0.8.0/CoTiMA/data/moderator1.rda |only CoTiMA-0.8.0/CoTiMA/data/moderator128.rda |binary CoTiMA-0.8.0/CoTiMA/data/moderator18.rda |binary CoTiMA-0.8.0/CoTiMA/data/moderator201.rda |binary CoTiMA-0.8.0/CoTiMA/data/moderator313.rda |binary CoTiMA-0.8.0/CoTiMA/data/moderator32.rda |binary CoTiMA-0.8.0/CoTiMA/data/moderator4.rda |only CoTiMA-0.8.0/CoTiMA/data/moderatorLabels.rda |binary CoTiMA-0.8.0/CoTiMA/data/moderatorValues.rda |binary CoTiMA-0.8.0/CoTiMA/data/occupation1.rda |only CoTiMA-0.8.0/CoTiMA/data/occupation128.rda |binary CoTiMA-0.8.0/CoTiMA/data/occupation18.rda |binary CoTiMA-0.8.0/CoTiMA/data/occupation201.rda |binary CoTiMA-0.8.0/CoTiMA/data/occupation313.rda |binary CoTiMA-0.8.0/CoTiMA/data/occupation32.rda |binary CoTiMA-0.8.0/CoTiMA/data/occupation4.rda |only CoTiMA-0.8.0/CoTiMA/data/pairwiseN128.rda |binary CoTiMA-0.8.0/CoTiMA/data/pubList_8.rda |binary CoTiMA-0.8.0/CoTiMA/data/rawData228.rda |only CoTiMA-0.8.0/CoTiMA/data/recodeVariables128.rda |binary CoTiMA-0.8.0/CoTiMA/data/results128.rda |binary CoTiMA-0.8.0/CoTiMA/data/sampleSize1.rda |only CoTiMA-0.8.0/CoTiMA/data/sampleSize128.rda |binary CoTiMA-0.8.0/CoTiMA/data/sampleSize18.rda |binary CoTiMA-0.8.0/CoTiMA/data/sampleSize201.rda |binary CoTiMA-0.8.0/CoTiMA/data/sampleSize313.rda |binary CoTiMA-0.8.0/CoTiMA/data/sampleSize32.rda |binary CoTiMA-0.8.0/CoTiMA/data/sampleSize4.rda |only CoTiMA-0.8.0/CoTiMA/data/source1.rda |only CoTiMA-0.8.0/CoTiMA/data/source128.rda |binary CoTiMA-0.8.0/CoTiMA/data/source18.rda |only CoTiMA-0.8.0/CoTiMA/data/source201.rda |binary CoTiMA-0.8.0/CoTiMA/data/source313.rda |binary CoTiMA-0.8.0/CoTiMA/data/source4.rda |only CoTiMA-0.8.0/CoTiMA/data/targetVariables1.rda |only CoTiMA-0.8.0/CoTiMA/data/targetVariables128.rda |binary CoTiMA-0.8.0/CoTiMA/data/targetVariables313.rda |binary CoTiMA-0.8.0/CoTiMA/data/targetVariables4.rda |only CoTiMA-0.8.0/CoTiMA/data/variableNames128.rda |binary CoTiMA-0.8.0/CoTiMA/data/variableNames18.rda |only CoTiMA-0.8.0/CoTiMA/data/variableNames201.rda |only CoTiMA-0.8.0/CoTiMA/data/variableNames32.rda |only CoTiMA-0.8.0/CoTiMA/inst/doc/CoTiMA_User_Guide.pdf |binary CoTiMA-0.8.0/CoTiMA/man/CoTiMAFullFit_3.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAFullFit_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAFullFit_6_new.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAFullInv23Fit_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAFullInvEq23Fit_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAInitFit_3.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAInitFit_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAInitFit_6_NUTS.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAInitFit_6_new.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAMod1onFullFit_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAMod1onFullFit_6_cats12.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAMod2on23Fit_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAPart134Inv3Fit_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAStanctArgs.Rd | 4 CoTiMA-0.8.0/CoTiMA/man/CoTiMAstudyList_6.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/CoTiMAstudyList_6_new.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/ageM1.Rd |only CoTiMA-0.8.0/CoTiMA/man/ageM4.Rd |only CoTiMA-0.8.0/CoTiMA/man/ageSD1.Rd |only CoTiMA-0.8.0/CoTiMA/man/ageSD4.Rd |only CoTiMA-0.8.0/CoTiMA/man/burnout1.Rd |only CoTiMA-0.8.0/CoTiMA/man/burnout4.Rd |only CoTiMA-0.8.0/CoTiMA/man/country1.Rd |only CoTiMA-0.8.0/CoTiMA/man/country4.Rd |only CoTiMA-0.8.0/CoTiMA/man/ctmaAllInvFit.Rd | 9 CoTiMA-0.8.0/CoTiMA/man/ctmaEmpCov.Rd | 6 CoTiMA-0.8.0/CoTiMA/man/ctmaFit.Rd | 19 CoTiMA-0.8.0/CoTiMA/man/ctmaInit.Rd | 22 CoTiMA-0.8.0/CoTiMA/man/ctmaOptimizeFit.Rd | 55 CoTiMA-0.8.0/CoTiMA/man/ctmaPlotCtsemMod.Rd | 14 CoTiMA-0.8.0/CoTiMA/man/ctmaPower.Rd | 4 CoTiMA-0.8.0/CoTiMA/man/ctmaPrep.Rd | 13 CoTiMA-0.8.0/CoTiMA/man/ctmaPub.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/ctmaRedHet.Rd | 6 CoTiMA-0.8.0/CoTiMA/man/ctmaShapeRawData.Rd | 10 CoTiMA-0.8.0/CoTiMA/man/delta_t1.Rd |only CoTiMA-0.8.0/CoTiMA/man/delta_t228.Rd |only CoTiMA-0.8.0/CoTiMA/man/delta_t4.Rd |only CoTiMA-0.8.0/CoTiMA/man/demands1.Rd |only CoTiMA-0.8.0/CoTiMA/man/demands4.Rd |only CoTiMA-0.8.0/CoTiMA/man/empcov1.Rd |only CoTiMA-0.8.0/CoTiMA/man/empcov128.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/empcov4.Rd |only CoTiMA-0.8.0/CoTiMA/man/malePercent1.Rd |only CoTiMA-0.8.0/CoTiMA/man/malePercent4.Rd |only CoTiMA-0.8.0/CoTiMA/man/moderator1.Rd |only CoTiMA-0.8.0/CoTiMA/man/moderator4.Rd |only CoTiMA-0.8.0/CoTiMA/man/occupation1.Rd |only CoTiMA-0.8.0/CoTiMA/man/occupation4.Rd |only CoTiMA-0.8.0/CoTiMA/man/pairwiseN128.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/rawData228.Rd |only CoTiMA-0.8.0/CoTiMA/man/results128.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/sampleSize1.Rd |only CoTiMA-0.8.0/CoTiMA/man/sampleSize128.Rd | 2 CoTiMA-0.8.0/CoTiMA/man/sampleSize4.Rd |only CoTiMA-0.8.0/CoTiMA/man/source1.Rd |only CoTiMA-0.8.0/CoTiMA/man/source18.Rd |only CoTiMA-0.8.0/CoTiMA/man/source4.Rd |only CoTiMA-0.8.0/CoTiMA/man/targetVariables1.Rd |only CoTiMA-0.8.0/CoTiMA/man/targetVariables4.Rd |only CoTiMA-0.8.0/CoTiMA/man/variableNames18.Rd |only CoTiMA-0.8.0/CoTiMA/man/variableNames201.Rd |only CoTiMA-0.8.0/CoTiMA/man/variableNames32.Rd |only 273 files changed, 3748 insertions(+), 3413 deletions(-)
Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R
The 'QuantLib' project aims to provide a comprehensive software framework
for quantitative finance. The goal is to provide a standard open source library
for quantitative analysis, modeling, trading, and risk management of financial
assets.
Author: Dirk Eddelbuettel, Khanh Nguyen , Terry Leitch
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RQuantLib versions 0.4.21 dated 2024-02-01 and 0.4.22 dated 2024-04-25
ChangeLog | 30 ++++++++++++++++++++++++++++++ DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- R/asian.R | 20 -------------------- R/zzz.R | 4 ++-- configure | 18 +++++++++--------- configure.ac | 2 +- data/tsQuotes.RData |binary data/vcube.RData |binary inst/NEWS.Rd | 11 ++++++++++- inst/tinytest/test_schedule.R | 4 ++-- src/Makevars.in | 2 +- src/bonds.cpp | 18 ++++++++++++++++-- src/zero.cpp | 8 ++++++-- 14 files changed, 94 insertions(+), 57 deletions(-)
Title: A Tool for Creating Custom Neural Networks in C++ and using Them
in R
Description: Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
Author: Vasilis Nikolaidis [aut, cph, cre]
Maintainer: Vasilis Nikolaidis <v.nikolaidis@uop.gr>
Diff between nnlib2Rcpp versions 0.2.5 dated 2024-03-09 and 0.2.6 dated 2024-04-25
DESCRIPTION | 6 MD5 | 24 +-- inst/doc/intro.ltx | 1 inst/doc/intro.pdf |binary man/LVQs-class.Rd | 267 ++++++++++++++++++++++++++----------- src/Rcpp_LVQ_supervised_module.cpp | 128 +++++++++++++++-- src/Rcpp_NN_module.cpp | 7 src/nn_lvq.cpp | 188 ++++++++++++++++++++------ src/nn_lvq.h | 150 ++++++++++++-------- src/nnlib2.h | 2 src/nnlib2_error.cpp | 5 src/nnlib2_error.h | 1 vignettes/intro.ltx | 1 13 files changed, 573 insertions(+), 207 deletions(-)
Title: Functions for Calculating Fit-Robustness of CNA-Solutions
Description: Functions for automatically performing
a reanalysis series
on a data set using CNA, and for calculating the fit-robustness
of the resulting models, as described in
Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
Author: Veli-Pekka Parkkinen [aut, cre, cph],
Michael Baumgartner [aut, cph],
Mathias Ambuehl [aut, cph]
Maintainer: Veli-Pekka Parkkinen <parkkinenv@gmail.com>
Diff between frscore versions 0.3.1 dated 2023-04-28 and 0.4.0 dated 2024-04-25
DESCRIPTION | 10 - MD5 | 28 +-- NEWS.md | 39 +++- R/causal_submodel.R | 2 R/frscore.R | 311 ++++++++++++++++++++-------------- R/frscored_cna.R | 22 +- README.md | 56 ------ build/partial.rdb |binary man/frscore-package.Rd | 1 man/frscored_cna.Rd | 7 man/rean_cna.Rd | 8 tests/testthat/_snaps/frscore.md | 95 ++++++++++ tests/testthat/_snaps/frscored_cna.md | 51 +++++ tests/testthat/test_frscore.R | 17 + tests/testthat/test_frscored_cna.R | 37 ++++ 15 files changed, 459 insertions(+), 225 deletions(-)
Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational
assessment) for datasets with replication designs (jackknife,
bootstrap, replicate weights; see Kolenikov, 2010;
Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>,
<doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996,
<doi:10.1080/02331889708802523>).
Descriptive statistics, linear and logistic regression,
path models for manifest variables with measurement error
correction and two-level hierarchical regressions for weighted
samples are included. Statistical inference can be conducted for
multiply imputed datasets and nested multiply imputed datasets
and is in particularly suited for the analysis of plausible values
(for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016;
Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham &
Yanagida, 2016). The package development was supported by BIFIE
(Federal Institute for Educational Research, Innovation and Development
of [...truncated...]
Author: BIFIE [aut], Alexander Robitzsch [aut, cre],
Konrad Oberwimmer [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between BIFIEsurvey versions 3.5-19 dated 2024-02-18 and 3.6-6 dated 2024-04-25
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ R/RcppExports.R | 2 +- build/partial.rdb |binary inst/NEWS | 9 +++++++++ src/RcppExports.cpp | 2 +- src/bifiesurvey_rcpp_logistreg.cpp | 8 +++++--- 7 files changed, 26 insertions(+), 15 deletions(-)
Title: Character String Operations and Interpolation, Magic Edition
Description: Performs complex string operations compactly and efficiently. Supports string interpolation jointly with over 50 string operations. Also enhances regular string functions (like grep() and co). See an introduction at <https://lrberge.github.io/stringmagic/>.
Author: Laurent R Berge [aut, cre] ,
Morgan Jacob [ctb]
Maintainer: Laurent R Berge <laurent.berge@u-bordeaux.fr>
Diff between stringmagic versions 1.1.0 dated 2024-03-06 and 1.1.1 dated 2024-04-25
DESCRIPTION | 6 - MD5 | 28 ++++---- NEWS.md | 6 + R/check.R | 7 +- R/string_magic_main.R | 8 ++ R/test_funs.R | 73 +++++++++++++--------- build/vignette.rds |binary inst/doc/guide_customization.R | 4 - inst/doc/guide_customization.html | 10 +-- inst/doc/guide_string_magic.html | 4 - inst/doc/guide_string_tools.html | 4 - inst/doc/ref_operations.html | 10 +-- inst/doc/ref_regex_flags.html | 4 - inst/doc/ref_regex_logic.html | 4 - inst/doc/ref_string_magic_special_operations.html | 26 +++---- 15 files changed, 113 insertions(+), 81 deletions(-)
Title: Policy Learning
Description: Framework for evaluating user-specified finite stage policies and learning realistic policies via doubly robust loss functions. Policy learning methods include doubly robust Q-learning, sequential policy tree learning, and outcome weighted learning. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.
Author: Andreas Nordland [aut, cre],
Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>
Diff between polle versions 1.3 dated 2023-07-06 and 1.4 dated 2024-04-25
DESCRIPTION | 15 +++++---- MD5 | 70 ++++++++++++++++++++++++++------------------ NAMESPACE | 17 ++++++++++ NEWS.md | 15 +++++---- R/Q_function.R | 1 R/blip.R | 3 - R/drql.R | 2 - R/g_function.R | 3 + R/g_models.R | 18 +++++++---- R/nuisance_functions.R | 2 - R/policy_data.R | 22 ++++++------- R/policy_data_functions.R | 1 R/policy_def.R | 2 - R/policy_eval.R | 12 +++---- R/policy_learn.R | 48 +++++++++++++++--------------- R/policy_object_functions.R | 12 ++++++- R/polle-package.R | 16 ++-------- R/q_models.R | 20 ++++++------ R/sl_models.R | 4 +- build/partial.rdb |binary build/vignette.rds |only inst/doc |only man/g_model.Rd | 4 +- man/get_policy_functions.Rd | 2 + man/nuisance_functions.Rd | 2 - man/policy.Rd | 2 - man/policy_data.Rd | 22 ++++++------- man/policy_eval.Rd | 12 +++---- man/policy_learn.Rd | 46 ++++++++++++++-------------- man/polle-package.Rd | 27 +++++++++++----- man/q_model.Rd | 4 +- vignettes |only 32 files changed, 229 insertions(+), 175 deletions(-)
Title: Open System Files, 'URLs', Anything
Description: Cross platform solution to open files, directories or 'URLs'
with their associated programs.
Author: Gabor Csardi [aut, cre],
Fathi Boudra [aut],
Rex Dieter [aut],
Kevin Krammer [aut],
Jeremy White [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Diff between xopen versions 1.0.0 dated 2018-09-17 and 1.0.1 dated 2024-04-25
DESCRIPTION | 27 ++++++++++++++++----------- LICENSE | 4 ++-- MD5 | 16 +++++++++------- NEWS.md | 5 ++++- R/xopen-package.R |only README.md | 18 +++++++++++++----- man/xopen-package.Rd |only man/xopen.Rd | 6 ++++-- tests/testthat.R | 8 ++++++++ tests/testthat/test.R | 3 --- 10 files changed, 56 insertions(+), 31 deletions(-)
Title: Visualization of Structures in High-Dimensional Data
Description: By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Pmatrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'. Based on the recognized data structures, the method can be used to generate new data.
Author: Florian Lerch[aut,cre], Michael Thrun[aut], Felix Pape[ctb], Jorn Lotsch[aut], Raphael Paebst[ctb], Alfred Ultsch[aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Diff between Umatrix versions 3.4.1 dated 2023-11-25 and 4.0 dated 2024-04-25
DESCRIPTION | 12 +- MD5 | 26 +++- NAMESPACE | 2 R/calculate_Delauny_radius.R |only R/esomInit.R | 4 R/esomTrain.R | 10 + R/esomTrainOnline.R | 212 +++++++++++++++++++++------------------- R/generate_data.R |only R/iEsomTrain.R | 7 - data/BMUHepta.rda |only man/BMUHepta.Rd |only man/Hepta.Rd | 4 man/Umatrix-package.Rd | 6 - man/calculate_Delauny_radius.Rd |only man/esomTrain.Rd | 3 man/generate_data.Rd |only man/iEsomTrain.Rd | 1 17 files changed, 160 insertions(+), 127 deletions(-)
Title: Models of Decision Confidence and Metacognition
Description: Provides fitting functions and other tools for decision confidence
and metacognition researchers, including meta-d'/d', often considered to be
the gold standard to measure metacognitive efficiency.
Also allows to fit several static models of decision making and confidence
to test the assumptions underlying meta-d'/d' and which may serve as an
alternative when the assumptions of meta-d'/d' do not hold. See also Rausch
et al. (2023) <doi:10.1037/met0000634>.
Author: Manuel Rausch [aut, cre] ,
Sebastian Hellmann [aut]
Maintainer: Manuel Rausch <manuel.rausch@hochschule-rhein-waal.de>
Diff between statConfR versions 0.0.1 dated 2023-09-22 and 0.1.1 dated 2024-04-25
statConfR-0.0.1/statConfR/R/int_fitSDTvarS.R |only statConfR-0.0.1/statConfR/R/int_rCEV.R |only statConfR-0.1.1/statConfR/DESCRIPTION | 22 +- statConfR-0.1.1/statConfR/MD5 | 51 +++-- statConfR-0.1.1/statConfR/NAMESPACE | 4 statConfR-0.1.1/statConfR/R/MaskOri-data.R | 12 - statConfR-0.1.1/statConfR/R/fitConf.R | 217 +++++++++++++++-------- statConfR-0.1.1/statConfR/R/fitConfModels.R | 223 ++++++++++++++++-------- statConfR-0.1.1/statConfR/R/fitMetaDprime.R | 20 +- statConfR-0.1.1/statConfR/R/int_fit2Chan.R | 80 +++----- statConfR-0.1.1/statConfR/R/int_fitCEV.R | 65 ++---- statConfR-0.1.1/statConfR/R/int_fitITG.R | 136 ++++++-------- statConfR-0.1.1/statConfR/R/int_fitLogWEV.R |only statConfR-0.1.1/statConfR/R/int_fitLognorm.R |only statConfR-0.1.1/statConfR/R/int_fitMetaDprime.R | 53 +++-- statConfR-0.1.1/statConfR/R/int_fitNoisy.R | 72 +++---- statConfR-0.1.1/statConfR/R/int_fitPDA.R | 73 +++---- statConfR-0.1.1/statConfR/R/int_fitSDT.R | 68 +++---- statConfR-0.1.1/statConfR/R/int_ll2Chan.R | 2 statConfR-0.1.1/statConfR/R/int_llITG.R | 2 statConfR-0.1.1/statConfR/R/int_llLogWEV.R |only statConfR-0.1.1/statConfR/R/int_llLognorm.R |only statConfR-0.1.1/statConfR/R/int_simulateConf.R |only statConfR-0.1.1/statConfR/R/simulateConf.R |only statConfR-0.1.1/statConfR/README.md | 165 ++++++++--------- statConfR-0.1.1/statConfR/data/MaskOri.RData |binary statConfR-0.1.1/statConfR/man/MaskOri.Rd | 8 statConfR-0.1.1/statConfR/man/fitConf.Rd | 164 +++++++++++------ statConfR-0.1.1/statConfR/man/fitConfModels.Rd | 177 ++++++++++++------- statConfR-0.1.1/statConfR/man/fitMetaDprime.Rd | 168 +++++++++--------- statConfR-0.1.1/statConfR/man/simConf.Rd |only 31 files changed, 998 insertions(+), 784 deletions(-)
Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related
to two-component admixture models, where the two components can belong to any
distribution (note that in the case of multinomial mixtures, the two components
must belong to the same family). Estimation methods depend on the assumptions
made on the unknown component density (see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>;
Patra and Sen (2016) <doi:10.1111/rssb.12148>); Milhaud, Pommeret, Salhi and Vandekerkhove
(2022) <doi:10.1016/j.jspi.2021.05.010>). In practice, one can estimate both the
mixture weight and the unknown component density in a wide variety of frameworks.
On top of that, hypothesis tests can be performed in one and two-sample contexts
to test the unknown component density (see Milhaud, Pommeret, Salhi, Vandekerkhove (2023)).
Finally, clustering of unknown mixture components is also feasible in a K-samples setting.
Author: Xavier Milhaud [aut, cre],
Pierre Vandekerkhove [ctb],
Denys Pommeret [ctb],
Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>
Diff between admix versions 2.1-2 dated 2023-07-12 and 2.1-3 dated 2024-04-25
DESCRIPTION | 8 - MD5 | 45 ++++--- R/IBM_2samples_test.R | 6 - R/IBM_estimProp.R | 8 - R/IBM_k_samples_test.R | 27 +++- R/IBM_tabul_stochasticInteg.R | 2 R/admix_clustering.R | 45 ++++--- R/admix_estim.R | 8 + R/admix_test.R | 7 - R/mortality_sample.R |only R/orthoBasis_test_H0.R | 8 - build/partial.rdb |binary build/vignette.rds |binary data/mortality_sample.rda |only inst/WORDLIST | 6 - inst/doc/admixture-clustering.R | 2 inst/doc/admixture-clustering.html | 142 +++++++++++-------------- inst/doc/admixture-weight-estimation.R | 2 inst/doc/admixture-weight-estimation.html | 170 +++++++++++++++--------------- inst/doc/test-hypothesis.R | 2 inst/doc/test-hypothesis.html | 124 ++++++++++----------- man/admix_clustering.Rd | 26 +++- man/admix_test.Rd | 5 man/mortality_sample.Rd |only man/orthoBasis_test_H0.Rd | 6 - 25 files changed, 347 insertions(+), 302 deletions(-)
Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients
without using the internet. It includes a web app framework with path
matching, parameters and templates. Can parse various 'HTTP' request
bodies. Can send 'JSON' data or files from the disk. Includes a web
app that implements the 'httpbin.org' web service.
Author: Gabor Csardi [aut, cre],
Posit Software, PBC [cph, fnd],
Civetweb contributors [ctb] ,
Redoc contributors [ctb] ,
L. Peter Deutsch [ctb] ,
Martin Purschke [ctb] ,
Aladdin Enterprises [cph] ,
Maelle Salmon [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Diff between webfakes versions 1.3.0 dated 2023-12-10 and 1.3.1 dated 2024-04-25
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 6 +++++- src/rweb.c | 4 ++++ 4 files changed, 15 insertions(+), 7 deletions(-)
Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as
calculating spectral indexes, principal component transformation, unsupervised
and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] ,
Ned Horning [aut],
Jakob Schwalb-Willmann [aut] ,
Robert J. Hijmans [ctb] ,
Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>
Diff between RStoolbox versions 0.4.0 dated 2024-01-17 and 1.0.0 dated 2024-04-25
RStoolbox-0.4.0/RStoolbox/R/RStoolbox.R |only RStoolbox-0.4.0/RStoolbox/inst/external/srtm.rds |only RStoolbox-0.4.0/RStoolbox/inst/external/trainingPoints.rds |only RStoolbox-0.4.0/RStoolbox/inst/external/trainingPolygons.rds |only RStoolbox-1.0.0/RStoolbox/DESCRIPTION | 20 RStoolbox-1.0.0/RStoolbox/MD5 | 141 +++--- RStoolbox-1.0.0/RStoolbox/NAMESPACE | 4 RStoolbox-1.0.0/RStoolbox/NEWS.md | 22 RStoolbox-1.0.0/RStoolbox/R/RStoolbox-package.R |only RStoolbox-1.0.0/RStoolbox/R/classifyQA.R | 2 RStoolbox-1.0.0/RStoolbox/R/cloudMask.R | 2 RStoolbox-1.0.0/RStoolbox/R/coregisterImages.R | 4 RStoolbox-1.0.0/RStoolbox/R/estimateHaze.R | 2 RStoolbox-1.0.0/RStoolbox/R/fCover.R | 4 RStoolbox-1.0.0/RStoolbox/R/getValidation.R | 2 RStoolbox-1.0.0/RStoolbox/R/ggR.R | 16 RStoolbox-1.0.0/RStoolbox/R/ggRGB.R | 6 RStoolbox-1.0.0/RStoolbox/R/histMatch.R | 4 RStoolbox-1.0.0/RStoolbox/R/internalFunctions.R | 2 RStoolbox-1.0.0/RStoolbox/R/mesma.R | 149 +++++- RStoolbox-1.0.0/RStoolbox/R/oneHotEncode.R | 2 RStoolbox-1.0.0/RStoolbox/R/panSharpen.R | 4 RStoolbox-1.0.0/RStoolbox/R/pifMatch.R | 4 RStoolbox-1.0.0/RStoolbox/R/radCor.R | 3 RStoolbox-1.0.0/RStoolbox/R/rasterCVA.R | 4 RStoolbox-1.0.0/RStoolbox/R/rasterEntropy.R | 2 RStoolbox-1.0.0/RStoolbox/R/rasterPCA.R | 4 RStoolbox-1.0.0/RStoolbox/R/rescaleImage.R | 2 RStoolbox-1.0.0/RStoolbox/R/sam.R | 2 RStoolbox-1.0.0/RStoolbox/R/spectralIndices.R | 2 RStoolbox-1.0.0/RStoolbox/R/superClass.R | 39 - RStoolbox-1.0.0/RStoolbox/R/tasseledCap.R | 2 RStoolbox-1.0.0/RStoolbox/R/unsuperClass.R | 3 RStoolbox-1.0.0/RStoolbox/R/validateMap.R | 4 RStoolbox-1.0.0/RStoolbox/R/zzz.R | 18 RStoolbox-1.0.0/RStoolbox/README.md | 222 +++++++++- RStoolbox-1.0.0/RStoolbox/inst/external/sen2.rds |only RStoolbox-1.0.0/RStoolbox/inst/external/srtm_lsat.rds |only RStoolbox-1.0.0/RStoolbox/inst/external/srtm_sen2.rds |only RStoolbox-1.0.0/RStoolbox/inst/external/trainingPoints_rlogo.rds |only RStoolbox-1.0.0/RStoolbox/inst/external/trainingPolygons_lsat.rds |only RStoolbox-1.0.0/RStoolbox/inst/external/trainingPolygons_sen2.rds |only RStoolbox-1.0.0/RStoolbox/man/RStoolbox.Rd | 20 RStoolbox-1.0.0/RStoolbox/man/classifyQA.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/cloudMask.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/coregisterImages.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/estimateHaze.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/fCover.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/getValidation.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/ggR.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/ggRGB.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/histMatch.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/lsat.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/mesma.Rd | 83 ++- RStoolbox-1.0.0/RStoolbox/man/oneHotEncode.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/panSharpen.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/pifMatch.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/radCor.Rd | 1 RStoolbox-1.0.0/RStoolbox/man/rasterCVA.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/rasterEntropy.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/rasterPCA.Rd | 4 RStoolbox-1.0.0/RStoolbox/man/rescaleImage.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/rlogo.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/sam.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/sen2.Rd |only RStoolbox-1.0.0/RStoolbox/man/spectralIndices.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/srtm.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/srtm_sen2.Rd |only RStoolbox-1.0.0/RStoolbox/man/superClass.Rd | 3 RStoolbox-1.0.0/RStoolbox/man/tasseledCap.Rd | 2 RStoolbox-1.0.0/RStoolbox/man/validateMap.Rd | 4 RStoolbox-1.0.0/RStoolbox/tests/testthat/test-getValidation.R | 2 RStoolbox-1.0.0/RStoolbox/tests/testthat/test-ggplot.R | 8 RStoolbox-1.0.0/RStoolbox/tests/testthat/test-internalFunctions.R | 2 RStoolbox-1.0.0/RStoolbox/tests/testthat/test-mesma.R | 63 ++ RStoolbox-1.0.0/RStoolbox/tests/testthat/test-saveReadRSTBX.R | 2 RStoolbox-1.0.0/RStoolbox/tests/testthat/test-superClass.R | 16 RStoolbox-1.0.0/RStoolbox/tests/testthat/test-validateMap.R | 2 78 files changed, 662 insertions(+), 301 deletions(-)
Title: Cryptographic Hash and Extendable-Output Functions
Description: Fast and memory-efficient streaming hash functions. Performs direct
hashing of strings, raw bytes, and files potentially larger than memory, as
well as hashing in-memory objects through R's serialization mechanism,
without requiring allocation of the serialized object. Implementations
include the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions,
SHAKE256 extendable-output function (XOF), and 'SipHash' pseudo-random
function. The SHA-3 Secure Hash Standard was published by the National
Institute of Standards and Technology (NIST) in 2015 at
<doi:10.6028/NIST.FIPS.202>. The SHA-256 Secure Hash Standard was published
by NIST in 2002 at
<https://csrc.nist.gov/publications/fips/fips180-2/fips180-2.pdf>.
Author: Charlie Gao [aut, cre] ,
Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Diff between secretbase versions 0.4.0 dated 2024-04-04 and 0.5.0 dated 2024-04-25
DESCRIPTION | 17 +++-- MD5 | 32 +++++----- NAMESPACE | 2 NEWS.md | 6 ++ R/base.R | 135 ++++++++++++++++++++++++++++++++++++++-------- README.md | 33 ++++++----- man/keccak.Rd |only man/secretbase-package.Rd | 2 man/sha256.Rd | 29 +++++---- man/sha3.Rd | 47 +++++++--------- man/shake256.Rd |only man/siphash13.Rd | 35 ++++++----- src/init.c | 4 + src/secret.c | 84 ++++++++++++++++++++++++---- src/secret.h | 31 +++------- src/secret2.c | 4 - src/secret3.c | 4 - tests/tests.R | 23 +++++++ 18 files changed, 335 insertions(+), 153 deletions(-)
Title: Debug R Packages
Description: Specify debug messages as special string constants, and
control debugging of packages via environment variables.
Author: Gabor Csardi [aut, cre],
Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Diff between debugme versions 1.1.0 dated 2017-10-22 and 1.2.0 dated 2024-04-25
debugme-1.1.0/debugme/inst |only debugme-1.2.0/debugme/DESCRIPTION | 26 ++++-- debugme-1.2.0/debugme/LICENSE | 4 debugme-1.2.0/debugme/MD5 | 39 +++++---- debugme-1.2.0/debugme/NEWS.md | 33 +++++++- debugme-1.2.0/debugme/R/colors.R | 40 +++++++++ debugme-1.2.0/debugme/R/compat-defer.R |only debugme-1.2.0/debugme/R/debug.R | 69 +++++++++++++---- debugme-1.2.0/debugme/R/debugme-package.R |only debugme-1.2.0/debugme/R/instrument.R | 37 ++++++--- debugme-1.2.0/debugme/R/package.R | 61 +++++++++++---- debugme-1.2.0/debugme/R/rematch.R |only debugme-1.2.0/debugme/README.md |only debugme-1.2.0/debugme/man/debug.Rd | 6 - debugme-1.2.0/debugme/man/debugme-package.Rd |only debugme-1.2.0/debugme/man/debugme.Rd | 54 +++++++++---- debugme-1.2.0/debugme/tests/testthat.R | 8 + debugme-1.2.0/debugme/tests/testthat/test-colors.R | 3 debugme-1.2.0/debugme/tests/testthat/test-debug.R | 12 -- debugme-1.2.0/debugme/tests/testthat/test-dynamic.R | 3 debugme-1.2.0/debugme/tests/testthat/test-instrument.R | 17 +++- debugme-1.2.0/debugme/tests/testthat/test-levels.R |only debugme-1.2.0/debugme/tests/testthat/test-package.R | 15 ++- 23 files changed, 315 insertions(+), 112 deletions(-)
Title: Interface for the 'Finnish Biodiversity Information Facility'
API
Description: A programmatic interface to the 'Finnish Biodiversity Information
Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates
Finnish biodiversity data from multiple sources in a single open access
portal for researchers, citizen scientists, industry and government.
'FinBIF' allows users of biodiversity information to find, access, combine
and visualise data on Finnish plants, animals and microorganisms. The
'finbif' package makes the publicly available data in 'FinBIF' easily
accessible to programmers. Biodiversity information is available on taxonomy
and taxon occurrence. Occurrence data can be filtered by taxon, time,
location and other variables. The data accessed are conveniently
preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph],
William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>
Diff between finbif versions 0.9.5 dated 2024-03-15 and 0.9.6 dated 2024-04-25
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 12 ++++++++++++ R/finbif_occurrence.R | 8 +++++++- R/finbif_occurrence_load.R | 24 +++++++++++++++--------- R/finbif_records.R | 4 ++-- R/sysdata.rda |binary README.md | 2 +- inst/NEWS.Rd | 15 +++++++++++++++ tests/testthat/test-metadata.R | 2 +- 10 files changed, 65 insertions(+), 26 deletions(-)
Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The [...truncated...]
Author: Ben Goodrich [cre, aut],
Joshua Pritikin [ctb],
Andrew Gelman [aut],
Bob Carpenter [aut],
Matt Hoffman [aut],
Daniel Lee [aut],
Michael Betancourt [aut],
Marcus Brubaker [aut],
Jiqiang Guo [aut],
Peter Li [aut],
Allen Riddell [aut],
Marco Inacio [aut [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>
Diff between StanHeaders versions 2.32.6 dated 2024-03-01 and 2.32.7 dated 2024-04-25
DESCRIPTION | 10 MD5 | 35 - inst/doc/stanmath.html | 6 inst/include/stan/math/memory/stack_alloc.hpp | 3 inst/include/stan/math/prim/fun/max.hpp | 2 inst/include/stan/math/prim/fun/min.hpp | 2 inst/include/stan/math/prim/fun/value_of.hpp | 24 - inst/include/stan/math/prim/meta/is_eigen_dense_base.hpp | 16 inst/include/stan/math/prim/meta/promote_scalar_type.hpp | 14 inst/include/stan/math/rev/core/arena_matrix.hpp | 308 ++++++++++++- inst/include/stan/math/rev/core/var.hpp | 12 inst/include/stan/math/rev/core/var_value_fwd_declare.hpp | 10 inst/include/stan/math/rev/core/vari.hpp | 48 +- inst/include/stan/math/rev/fun.hpp | 1 inst/include/stan/math/rev/fun/csr_matrix_times_vector.hpp | 104 ++-- inst/include/stan/math/rev/fun/to_soa_sparse_matrix.hpp |only inst/include/stan/math/rev/fun/to_var_value.hpp | 7 inst/include/stan/math/rev/meta/arena_type.hpp | 6 inst/include/stan/math/rev/meta/conditional_var_value.hpp | 2 19 files changed, 484 insertions(+), 126 deletions(-)