Title: Routines for L1 Estimation
Description: L1 estimation for linear regression using Barrodale and Roberts' method
<doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>,
density, distribution function, quantile function and random number generation
for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>.
Author: Felipe Osorio [aut, cre] ,
Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>
Diff between L1pack versions 0.41-2 dated 2022-10-19 and 0.41-24 dated 2023-05-18
L1pack-0.41-2/L1pack/R/random.R |only L1pack-0.41-2/L1pack/man/rmLaplace.Rd |only L1pack-0.41-2/L1pack/src/random.c |only L1pack-0.41-24/L1pack/ChangeLog | 41 ++++++++----- L1pack-0.41-24/L1pack/DESCRIPTION | 23 +++---- L1pack-0.41-24/L1pack/MD5 | 40 ++++++------- L1pack-0.41-24/L1pack/NAMESPACE | 4 - L1pack-0.41-24/L1pack/R/RNG.R |only L1pack-0.41-24/L1pack/R/distn.R | 62 ++++++++++++++------ L1pack-0.41-24/L1pack/R/lad.R | 6 +- L1pack-0.41-24/L1pack/inst/CITATION | 22 ++++--- L1pack-0.41-24/L1pack/man/Laplace.Rd | 50 ++++++++++++---- L1pack-0.41-24/L1pack/man/l1fit.Rd | 6 +- L1pack-0.41-24/L1pack/man/lad.Rd | 8 +- L1pack-0.41-24/L1pack/man/lad.fit-methods.Rd | 4 - L1pack-0.41-24/L1pack/man/lad.fit.Rd | 6 +- L1pack-0.41-24/L1pack/man/mLaplace.Rd |only L1pack-0.41-24/L1pack/src/RNG.c |only L1pack-0.41-24/L1pack/src/R_init_L1pack.c | 9 +-- L1pack-0.41-24/L1pack/src/distn.c | 81 +++++++++++---------------- L1pack-0.41-24/L1pack/src/interface.c | 41 ++++++++++++- L1pack-0.41-24/L1pack/src/interface.h | 7 ++ L1pack-0.41-24/L1pack/src/lad.h | 6 +- L1pack-0.41-24/L1pack/src/lad_EM.c | 8 +- 24 files changed, 249 insertions(+), 175 deletions(-)
Title: Identifying Unique Multilocus Genotypes where Genotyping Error
and Missing Data may be Present
Description: Tools for the identification of unique of multilocus genotypes when both genotyping error and missing data may be present; targeted for use with large datasets and databases containing multiple samples of each individual (a common situation in conservation genetics, particularly in non-invasive wildlife sampling applications). Functions explicitly incorporate missing data and can tolerate allele mismatches created by genotyping error. If you use this package, please cite the original publication in Molecular Ecology Resources (Galpern et al., 2012), the details for which can be generated using citation('allelematch'). For a complete vignette, please access via the Data S1 Supplementary documentation and tutorials (PDF) located at <doi:10.1111/j.1755-0998.2012.03137.x>.
Author: Paul Galpern <pgalpern@gmail.com>
Maintainer: Todd Cross <todd.cross@gmail.com>
Diff between allelematch versions 2.5.1 dated 2019-04-15 and 2.5.2 dated 2023-05-18
allelematch-2.5.1/allelematch/build/vignette.rds |only allelematch-2.5.1/allelematch/inst/doc |only allelematch-2.5.1/allelematch/vignettes |only allelematch-2.5.2/allelematch/DESCRIPTION | 27 allelematch-2.5.2/allelematch/MD5 | 15 allelematch-2.5.2/allelematch/NAMESPACE | 16 allelematch-2.5.2/allelematch/R/allelematch.r | 5300 +++++++-------- allelematch-2.5.2/allelematch/build/partial.rdb |only allelematch-2.5.2/allelematch/inst/CITATION | 25 allelematch-2.5.2/allelematch/man/allelematch-package.Rd | 21 10 files changed, 2690 insertions(+), 2714 deletions(-)
Title: Intrinsic Peak Analysis (IPA) for HRMS Data
Description: A multi-layered untargeted pipeline for high-throughput LC/HRMS data processing to extract signals of organic small molecules. The package performs ion pairing, peak detection, peak table alignment, retention time correction, aligned peak table gap filling, peak annotation and visualization of extracted ion chromatograms (EICs) and total ion chromatograms (TICs). The 'IDSL.IPA' package was introduced in <doi:10.1021/acs.jproteome.2c00120> .
Author: Sadjad Fakouri-Baygi [aut] ,
Dinesh Barupal [cre, aut]
Maintainer: Dinesh Barupal <dinesh.barupal@mssm.edu>
Diff between IDSL.IPA versions 2.7 dated 2023-03-31 and 2.8 dated 2023-05-18
IDSL.IPA-2.7/IDSL.IPA/R/opendir.R |only IDSL.IPA-2.7/IDSL.IPA/man/opendir.Rd |only IDSL.IPA-2.8/IDSL.IPA/DESCRIPTION | 6 +++--- IDSL.IPA-2.8/IDSL.IPA/MD5 | 18 ++++++++---------- IDSL.IPA-2.8/IDSL.IPA/R/IPA_CompoundsAnnotation.R | 1 - IDSL.IPA-2.8/IDSL.IPA/R/IPA_GapFiller.R | 2 -- IDSL.IPA-2.8/IDSL.IPA/R/IPA_PeakAlignment.R | 1 - IDSL.IPA-2.8/IDSL.IPA/R/IPA_PeakAnalyzer.R | 7 +------ IDSL.IPA-2.8/IDSL.IPA/R/IPA_PeaklistAnnotation.R | 1 - IDSL.IPA-2.8/IDSL.IPA/R/IPA_targeted.R | 1 - IDSL.IPA-2.8/IDSL.IPA/R/IPA_xlsxAnalyzer.R | 4 ++-- 11 files changed, 14 insertions(+), 27 deletions(-)
Title: Inference for Spatiotemporal Partially Observed Markov Processes
Description: Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. To do so, it relies on and extends a number of facilities that the 'pomp' package provides for inference on time series data using partially-observed Markov process (POMP) models. Implemented methods include filtering and inference methods in Park and Ionides (2020) <doi:10.1007/s11222-020-09957-3>, Rebeschini and van Handel (2015) <doi:10.1214/14-AAP1061>, Evensen and van Leeuwen (1996) <doi:10.1029/94JC00572> and Ionides et al. (2021) <doi:10.1080/01621459.2021.1974867>. Pre-print statistical software article: Asfaw et al. (2021) <arXiv:2101.01157>.
Author: Kidus Asfaw [aut],
Edward Ionides [cre, aut],
Aaron A. King [aut],
Allister Ho [ctb],
Joonha Park [ctb],
Jesse Wheeler [ctb],
Jifan Li [ctb],
Ning Ning [ctb]
Maintainer: Edward Ionides <ionides@umich.edu>
Diff between spatPomp versions 0.31.0.0 dated 2023-01-16 and 0.32.0 dated 2023-05-18
DESCRIPTION | 34 +-- MD5 | 71 +++--- NAMESPACE | 7 R/arma_benchmark.R |only R/bm.R | 87 ++++---- R/bm2.R | 112 ++++++---- R/enkf.R | 13 - R/he10.R | 419 ++++++++++++++++++---------------------- R/ibpf.R | 175 ++++++---------- R/ienkf.R | 2 R/lorenz.R | 142 +++++++------ R/measles.R | 435 ++++++++++++++++++++---------------------- R/measles2.R |only R/param_formats.R |only R/plot.R | 57 +++-- R/spatPomp.R | 1 R/spatPomp_Csnippet.R | 22 +- build/partial.rdb |binary inst/CITATION | 75 +++---- man/arma_benchmark.Rd |only man/ibpf.Rd | 2 man/macros/cite.Rd | 4 man/measles2.Rd |only man/param_formats.Rd |only man/plot.Rd | 5 man/spatPomp_Csnippet.Rd | 7 tests/arma_benchmark.R |only tests/bm.R | 49 ++-- tests/bm.Rout.save | 135 +++++++------ tests/bm2.Rout.save | 4 tests/gbm.R | 15 + tests/gbm.Rout.save | 24 +- tests/he10.R | 12 - tests/he10.Rout.save | 44 ++-- tests/iter_filter.Rout.save | 4 tests/lorenz.R | 2 tests/lorenz.Rout.save | 8 tests/measles.Rout.save | 4 tests/measles2.R |only tests/measles2.Rout.save |only tests/param_formats.R |only tests/param_formats.Rout.save |only 42 files changed, 1028 insertions(+), 943 deletions(-)
Title: Launch a Shiny Application without Opening R or RStudio
Description: Launch an application by a simple click without opening R or RStudio. The package has 3 functions of which only one is essential in its use, `shiny.exe()`. It generates a script in the open shiny project then create a shortcut in the same folder that allows you to launch the app by clicking.If you set `host = 'public'`, the application will be launched on the public server to which you are connected. Thus, all other devices connected to the same server will be able to access the application through the link of your `IPv4` extended by the port. You can stop the application by leaving the terminal opened by the shortcut.
Author: Abdoul Oudouss Diakite [aut, cre]
Maintainer: Abdoul Oudouss Diakite <abdouloudoussdiakite@gmail.com>
Diff between shiny.exe versions 0.1.0 dated 2023-05-09 and 0.2.0 dated 2023-05-18
DESCRIPTION | 13 +++----- MD5 | 8 ++-- R/create_task.R | 76 +++++++++++++++++++++++++---------------------- R/create_task_shortcut.R | 54 ++++----------------------------- README.md | 8 ++++ 5 files changed, 67 insertions(+), 92 deletions(-)
Title: An Implementation of Crime Analysis Methods
Description: An implementation of functions for the analysis of crime incident or records
management system data. The package implements analysis algorithms scaled for city
or regional crime analysis units. The package provides functions for kernel density
estimation for crime heat maps, geocoding using the 'Google Maps' API, identification
of repeat crime incidents, spatio-temporal map comparison across time intervals,
time series analysis (forecasting and decomposition), detection of optimal parameters
for the identification of near repeat incidents, and near repeat analysis with crime
network linkage.
Author: Jamie Spaulding and Keith Morris
Maintainer: Jamie Spaulding <jspaulding02@hamline.edu>
Diff between rcrimeanalysis versions 0.4.2 dated 2020-05-20 and 0.5.0 dated 2023-05-18
DESCRIPTION | 17 MD5 | 56 - NAMESPACE | 105 +- NEWS.md | 6 R/crimes.R | 70 - R/geocode_address.R | 64 - R/id_repeat.R | 62 - R/kde_int_comp.R | 273 +++---- R/kde_map.R | 140 +-- R/near_repeat_analysis.R | 193 ++--- R/near_repeat_eval.R | 315 ++++---- R/ts_daily_decomp.R | 114 +-- R/ts_forecast.R | 122 +-- R/ts_month_decomp.R | 104 +- build/vignette.rds |binary inst/CITATION | 20 inst/doc/rcrimeanalysis.R | 5 inst/doc/rcrimeanalysis.Rmd | 5 inst/doc/rcrimeanalysis.html | 1617 +++++++++++++++++++++++++------------------ man/geocode_address.Rd | 78 +- man/id_repeat.Rd | 64 - man/kde_int_comp.Rd | 90 +- man/kde_map.Rd | 80 +- man/near_repeat_analysis.Rd | 116 +-- man/near_repeat_eval.Rd | 110 +- man/ts_daily_decomp.Rd | 98 +- man/ts_forecast.Rd | 80 +- man/ts_month_decomp.Rd | 94 +- vignettes/rcrimeanalysis.Rmd | 5 29 files changed, 2202 insertions(+), 1901 deletions(-)
More information about rcrimeanalysis at CRAN
Permanent link
Title: United Formula Annotation (UFA) for HRMS Data Processing
Description: A pipeline to annotate chromatography peaks from the 'IDSL.IPA' workflow <doi:10.1021/acs.jproteome.2c00120> with molecular formulas of a prioritized chemical space using an isotopic profile matching approach. The 'IDSL.UFA' workflow only requires mass spectrometry level 1 (MS1) data for formula annotation. The 'IDSL.UFA' methods was described in <doi:10.1021/acs.analchem.2c00563> .
Author: Sadjad Fakouri-Baygi [aut] ,
Dinesh Barupal [cre, aut]
Maintainer: Dinesh Barupal <dinesh.barupal@mssm.edu>
Diff between IDSL.UFA versions 1.9 dated 2023-04-02 and 2.0 dated 2023-05-18
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/UFA_workflow.R | 4 +--- R/UFA_xlsxAnalyzer.R | 5 +++-- R/scoreCoefficientsReplicate.R | 1 - 5 files changed, 11 insertions(+), 13 deletions(-)
Title: Nominal Peak Analysis (NPA)
Description: A pipeline to process nominal mass spectrometry data to create .msp files for untargeted analyses.
Author: Sadjad Fakouri-Baygi [aut] ,
Dinesh Barupal [cre, aut]
Maintainer: Dinesh Barupal <dinesh.barupal@mssm.edu>
Diff between IDSL.NPA versions 1.0 dated 2023-01-23 and 1.1 dated 2023-05-18
IDSL.NPA-1.0/IDSL.NPA/R/global.R |only IDSL.NPA-1.1/IDSL.NPA/DESCRIPTION | 22 +-- IDSL.NPA-1.1/IDSL.NPA/MD5 | 20 +- IDSL.NPA-1.1/IDSL.NPA/NAMESPACE | 3 IDSL.NPA-1.1/IDSL.NPA/R/IDSL.NPA_MSPgenerator.R | 23 +-- IDSL.NPA-1.1/IDSL.NPA/R/IDSL.NPA_workflow.R | 23 ++- IDSL.NPA-1.1/IDSL.NPA/R/IDSL.NPA_xlsxAnalyzer.R | 4 IDSL.NPA-1.1/IDSL.NPA/R/NPA_fragmentationPeakDetection.R | 20 +- IDSL.NPA-1.1/IDSL.NPA/R/NPA_peakDeconvolution.R | 105 +++++++++------ IDSL.NPA-1.1/IDSL.NPA/R/NPA_workflow.R | 62 +++----- IDSL.NPA-1.1/IDSL.NPA/inst/CITATION |only IDSL.NPA-1.1/IDSL.NPA/inst/extdata/NPA_parameters.xlsx |binary 12 files changed, 156 insertions(+), 126 deletions(-)
Title: Fragmentation Spectra Analysis (FSA)
Description: The 'IDSL.FSA' package was designed to annotate standard .msp (mass spectra format) and .mgf (Mascot generic format) files using mass spectral entropy similarity, dot product (cosine) similarity, and normalized Euclidean mass error (NEME) followed by intelligent pre-filtering steps for rapid spectra searches. 'IDSL.FSA' also provides a number of modules to convert and manipulate .msp and .mgf files. The 'IDSL.FSA' workflow was integrated in the 'IDSL.CSA' and 'IDSL.NPA' packages introduced in <doi:10.1101/2023.02.09.527886>.
Author: Sadjad Fakouri-Baygi [aut] ,
Dinesh Barupal [cre, aut]
Maintainer: Dinesh Barupal <dinesh.barupal@mssm.edu>
Diff between IDSL.FSA versions 1.0 dated 2023-01-18 and 1.1 dated 2023-05-18
IDSL.FSA-1.0/IDSL.FSA/R/FSA_opendir.R |only IDSL.FSA-1.0/IDSL.FSA/man/FSA_opendir.Rd |only IDSL.FSA-1.1/IDSL.FSA/DESCRIPTION | 21 IDSL.FSA-1.1/IDSL.FSA/MD5 | 59 - IDSL.FSA-1.1/IDSL.FSA/NAMESPACE | 5 IDSL.FSA-1.1/IDSL.FSA/R/FSA_FSdb_xlsxAnalyzer.R | 8 IDSL.FSA-1.1/IDSL.FSA/R/FSA_SpectraSimilarity_xlsxAnalyzer.R | 95 +-- IDSL.FSA-1.1/IDSL.FSA/R/FSA_logRecorder.R | 3 IDSL.FSA-1.1/IDSL.FSA/R/FSA_msp2Cytoscape.R | 25 IDSL.FSA-1.1/IDSL.FSA/R/FSA_msp_annotator.R | 79 +- IDSL.FSA-1.1/IDSL.FSA/R/FSA_plotFSdb2Spectra.R | 23 IDSL.FSA-1.1/IDSL.FSA/R/FSA_uniqueMSPblockTagger.R | 39 - IDSL.FSA-1.1/IDSL.FSA/R/FSA_uniqueMSPblockTaggerUntargeted.R | 24 IDSL.FSA-1.1/IDSL.FSA/R/FSA_workflow.R | 48 - IDSL.FSA-1.1/IDSL.FSA/R/FSA_xlsxAnalyzer.R | 7 IDSL.FSA-1.1/IDSL.FSA/R/FSdb2PeakXcolSubsetter.R | 22 IDSL.FSA-1.1/IDSL.FSA/R/FSdb2msp.R | 75 +- IDSL.FSA-1.1/IDSL.FSA/R/FSdb2precursorType.R | 47 - IDSL.FSA-1.1/IDSL.FSA/R/FSdb_file_generator.R | 1 IDSL.FSA-1.1/IDSL.FSA/R/fragmentation_spectra_annotator.R | 82 +- IDSL.FSA-1.1/IDSL.FSA/R/global.R | 2 IDSL.FSA-1.1/IDSL.FSA/R/msp2FSdb.R | 298 ++++------ IDSL.FSA-1.1/IDSL.FSA/R/msp2TrainingMatrix.R | 31 - IDSL.FSA-1.1/IDSL.FSA/R/mspPosNegSplitter.R | 26 IDSL.FSA-1.1/IDSL.FSA/R/spectral_entropy_calculator.R | 2 IDSL.FSA-1.1/IDSL.FSA/R/xlsx2msp.R | 43 - IDSL.FSA-1.1/IDSL.FSA/build/partial.rdb |binary IDSL.FSA-1.1/IDSL.FSA/inst/CITATION |only IDSL.FSA-1.1/IDSL.FSA/inst/extdata/FSA_parameters.xlsx |binary IDSL.FSA-1.1/IDSL.FSA/man/FSA_SpectraSimilarity_xlsxAnalyzer.Rd | 5 IDSL.FSA-1.1/IDSL.FSA/man/FSdb2msp.Rd | 4 IDSL.FSA-1.1/IDSL.FSA/man/msp2TrainingMatrix.Rd | 2 32 files changed, 546 insertions(+), 530 deletions(-)
Title: Composite Spectra Analysis (CSA) for High-Resolution Mass
Spectrometry Analyses
Description: A fragmentation spectra detection pipeline for high-throughput LC/HRMS data processing using peaklists generated by the 'IDSL.IPA' workflow <doi:10.1021/acs.jproteome.2c00120>. The 'IDSL.CSA' package can deconvolute fragmentation spectra from Composite Spectra Analysis (CSA), Data Dependent Acquisition (DDA) analysis, and various Data-Independent Acquisition (DIA) methods such as MS^E, All-Ion Fragmentation (AIF) and SWATH-MS analysis. The 'IDSL.CSA' package was introduced in <doi:10.1101/2023.02.09.527886>.
Author: Sadjad Fakouri-Baygi [aut] ,
Dinesh Barupal [cre, aut]
Maintainer: Dinesh Barupal <dinesh.barupal@mssm.edu>
Diff between IDSL.CSA versions 1.0 dated 2023-01-23 and 1.1 dated 2023-05-18
DESCRIPTION | 22 - MD5 | 45 +- NAMESPACE | 3 R/CSA_AlignedTable_xlsxAnalyzer.R | 19 R/CSA_alignedMetaSpectraCataloger.R | 44 +- R/CSA_alignedPeaksTanimotoCoefficientCalculator.R | 94 ++-- R/CSA_fragmentationPeakDetection.R | 15 R/CSA_reference_xlsxAnalyzer.R | 2 R/CSA_workflow.R | 88 ++-- R/DDA2msp.R | 29 - R/DDA_fragmentationPeakDetection.R | 17 R/DDA_rawSpectraDeconvolution.R | 29 - R/DDA_workflow.R | 61 +- R/DIA_MS1_fragmentationPeakDetection.R | 39 - R/DIA_MS2_fragmentationPeakDetection.R | 474 ++++++++++++---------- R/DIA_workflow.R | 61 +- R/IDSL.CSA_MSPgenerator.R | 23 - R/IDSL.CSA_workflow.R | 26 - R/IDSL.CSA_xlsxAnalyzer.R | 6 R/aligned_fragmentation_spectra_annotator.R | 238 ++++++----- R/global.R | 2 build/partial.rdb |binary inst/CITATION |only inst/extdata/CSA_parameters.xlsx |binary 24 files changed, 734 insertions(+), 603 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-10-13 0.2
Title: Parametric G-Formula
Description: Implements the parametric g-formula algorithm of Robins (1986)
<doi:10.1016/0270-0255(86)90088-6>. The g-formula can be used to estimate
the causal effects of hypothetical time-varying treatment interventions on
the mean or risk of an outcome from longitudinal data with time-varying
confounding. This package allows: 1) binary or continuous/multi-level
time-varying treatments; 2) different types of outcomes (survival or
continuous/binary end of follow-up); 3) data with competing events or
truncation by death and loss to follow-up and other types of censoring
events; 4) different options for handling competing events in the case of
survival outcomes; 5) a random measurement/visit process; 6) joint
interventions on multiple treatments; and 7) general incorporation of a
priori knowledge of the data structure.
Author: Victoria Lin [aut] ,
Sean McGrath [aut, cre] ,
Zilu Zhang [aut],
Roger W. Logan [aut],
Lucia C. Petito [aut],
Jing Li [aut],
Jessica G. Young [aut] ,
Miguel A. Hernan [aut] ,
2019 The President and Fellows of Harvard College [cph]
Maintainer: Sean McGrath <sean_mcgrath@g.harvard.edu>
Diff between gfoRmula versions 1.0.2 dated 2023-02-27 and 1.0.3 dated 2023-05-18
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 6 ++++++ R/comparisons.R | 20 +++++++++++--------- R/gformula.R | 3 +++ README.md | 6 ++---- man/get_plot_info.Rd | 3 +++ man/obs_calculate.Rd | 3 +++ 8 files changed, 38 insertions(+), 23 deletions(-)
Title: Doubly Robust Difference-in-Differences Estimators
Description: Implements the locally efficient doubly robust difference-in-differences (DiD)
estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020)
<doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome
regression estimators (also implemented in the package) to form estimators with
more attractive statistical properties. Two different estimation methods can be used
to estimate the nuisance functions.
Author: Pedro H. C. Sant'Anna [aut, cre],
Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedrosantanna@causal-solutions.com>
Diff between DRDID versions 1.0.4 dated 2022-07-19 and 1.0.6 dated 2023-05-18
DRDID-1.0.4/DRDID/R/print.matrix.drdid.R |only DRDID-1.0.6/DRDID/DESCRIPTION | 18 DRDID-1.0.6/DRDID/MD5 | 109 +-- DRDID-1.0.6/DRDID/NEWS.md | 60 +- DRDID-1.0.6/DRDID/R/aipw.did.panel.R | 34 - DRDID-1.0.6/DRDID/R/aipw_did_rc.R | 76 +- DRDID-1.0.6/DRDID/R/aipw_did_rc1.R | 42 - DRDID-1.0.6/DRDID/R/drdid.R | 504 +++++++++--------- DRDID-1.0.6/DRDID/R/drdid_imp_panel.R | 400 +++++++------- DRDID-1.0.6/DRDID/R/drdid_imp_rc.R | 532 +++++++++---------- DRDID-1.0.6/DRDID/R/drdid_imp_rc1.R | 466 ++++++++-------- DRDID-1.0.6/DRDID/R/drdid_package.R | 42 - DRDID-1.0.6/DRDID/R/drdid_panel.R | 490 ++++++++--------- DRDID-1.0.6/DRDID/R/drdid_rc.R | 692 ++++++++++++------------- DRDID-1.0.6/DRDID/R/drdid_rc1.R | 558 ++++++++++---------- DRDID-1.0.6/DRDID/R/ipw_did_panel.R | 408 +++++++------- DRDID-1.0.6/DRDID/R/ipw_did_rc.R | 464 ++++++++-------- DRDID-1.0.6/DRDID/R/ipwdid.R | 420 +++++++-------- DRDID-1.0.6/DRDID/R/ordid.R | 354 ++++++------ DRDID-1.0.6/DRDID/R/pre_process_drdid.R | 585 +++++++++++---------- DRDID-1.0.6/DRDID/R/print.drdid.R | 225 ++++---- DRDID-1.0.6/DRDID/R/pscore.cal.R | 132 ++-- DRDID-1.0.6/DRDID/R/reg_did_panel.R | 434 +++++++-------- DRDID-1.0.6/DRDID/R/reg_did_rc.R | 466 ++++++++-------- DRDID-1.0.6/DRDID/R/sim_rc.R | 58 +- DRDID-1.0.6/DRDID/R/std_ipw_did_panel.R | 402 +++++++------- DRDID-1.0.6/DRDID/R/std_ipw_did_rc.R | 420 +++++++-------- DRDID-1.0.6/DRDID/R/twfe_did_panel.R | 380 ++++++------- DRDID-1.0.6/DRDID/R/twfe_did_rc.R | 286 +++++----- DRDID-1.0.6/DRDID/R/wols.br.panel.R | 50 - DRDID-1.0.6/DRDID/R/wols_rc.R | 78 +- DRDID-1.0.6/DRDID/README.md | 116 ++-- DRDID-1.0.6/DRDID/build/partial.rdb |binary DRDID-1.0.6/DRDID/inst/WORDLIST | 121 ++-- DRDID-1.0.6/DRDID/man/DRDID-package.Rd | 44 - DRDID-1.0.6/DRDID/man/drdid.Rd | 314 +++++------ DRDID-1.0.6/DRDID/man/drdid_imp_panel.Rd | 208 +++---- DRDID-1.0.6/DRDID/man/drdid_imp_rc.Rd | 190 +++--- DRDID-1.0.6/DRDID/man/drdid_imp_rc1.Rd | 192 +++--- DRDID-1.0.6/DRDID/man/drdid_panel.Rd | 182 +++--- DRDID-1.0.6/DRDID/man/drdid_rc.Rd | 166 ++--- DRDID-1.0.6/DRDID/man/drdid_rc1.Rd | 170 +++--- DRDID-1.0.6/DRDID/man/ipw_did_panel.Rd | 164 ++--- DRDID-1.0.6/DRDID/man/ipw_did_rc.Rd | 146 ++--- DRDID-1.0.6/DRDID/man/ipwdid.Rd | 236 ++++---- DRDID-1.0.6/DRDID/man/nsw.Rd | 104 +-- DRDID-1.0.6/DRDID/man/nsw_long.Rd | 104 +-- DRDID-1.0.6/DRDID/man/ordid.Rd | 232 ++++---- DRDID-1.0.6/DRDID/man/reg_did_panel.Rd | 182 +++--- DRDID-1.0.6/DRDID/man/reg_did_rc.Rd | 164 ++--- DRDID-1.0.6/DRDID/man/sim_rc.Rd | 82 +- DRDID-1.0.6/DRDID/man/std_ipw_did_panel.Rd | 166 ++--- DRDID-1.0.6/DRDID/man/std_ipw_did_rc.Rd | 148 ++--- DRDID-1.0.6/DRDID/man/twfe_did_panel.Rd | 140 ++--- DRDID-1.0.6/DRDID/man/twfe_did_rc.Rd | 124 ++-- DRDID-1.0.6/DRDID/tests/testthat/test_errors.R | 548 +++++++++---------- 56 files changed, 6753 insertions(+), 6675 deletions(-)
Title: Analysis of Graph-Structured Data with a Focus on
Protein-Protein Interaction Networks
Description: Provides a general toolkit for drug target identification. We include functionality to reduce large graphs to subgraphs and prioritize nodes. In addition to being optimized for use with generic graphs, we also provides support to analyze protein-protein interactions networks from online repositories. For more details on core method, refer to Weaver et al. (2021) <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008755>.
Author: Davis Weaver [aut, cre]
Maintainer: Davis Weaver <davis.weaver@case.edu>
Diff between crosstalkr versions 1.0.1 dated 2023-01-31 and 1.0.2 dated 2023-05-18
DESCRIPTION | 8 ++-- MD5 | 22 +++++------ R/ppi_ingest.R | 6 +-- R/utils.R | 18 ++++++--- README.md | 9 +--- inst/doc/crosstalkr_vignette.R | 10 ++++- inst/doc/crosstalkr_vignette.Rmd | 11 ++++- inst/doc/crosstalkr_vignette.html | 75 ++++++++++++++++++-------------------- man/prep_stringdb.Rd | 62 +++++++++++++++---------------- src/calc_np.cpp | 1 tests/testthat/test-utils.R | 18 ++++++++- vignettes/crosstalkr_vignette.Rmd | 11 ++++- 12 files changed, 144 insertions(+), 107 deletions(-)
Title: Companion Tools for Open-Source Tools for Training Resources
(OTTR)
Description: Tools for converting Open-Source Tools for Training Resources (OTTR)
courses into Leanpub or Coursera courses. 'ottrpal' is for use with the OTTR Template repository to create courses.
Author: Candace Savonen [aut, cre] ,
John Muschelli [aut] ,
Carrie Wright [ctb]
Maintainer: Candace Savonen <cansav09@gmail.com>
Diff between ottrpal versions 1.0.1 dated 2022-03-03 and 1.1.1 dated 2023-05-18
DESCRIPTION | 8 MD5 | 24 +- R/bookdown_to_leanpub.R | 5 R/coursera.R | 54 +++-- R/quiz.R | 91 ++++++--- README.md | 10 - inst/doc/getting-started.Rmd | 2 inst/doc/getting-started.html | 420 +++++++++++++++++++++++++++++++++--------- man/check_all_questions.Rd | 9 man/check_question.Rd | 9 man/check_quiz.Rd | 6 man/check_quizzes.Rd | 9 vignettes/getting-started.Rmd | 2 13 files changed, 485 insertions(+), 164 deletions(-)
Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences.
Provides interfaces to the C++ implementation of cSPADE by
Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from
Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>
Diff between arulesSequences versions 0.2-28 dated 2023-01-16 and 0.2-29 dated 2023-05-18
CHANGELOG | 4 ++++ DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- R/05read_write.R | 6 +++--- data/zaki.rda |binary src/Makevars | 5 ++++- src/TPOSE/exttpose.cc | 4 ++++ src/cSPADE/sequence.cc | 8 ++++++-- 8 files changed, 31 insertions(+), 16 deletions(-)
More information about arulesSequences at CRAN
Permanent link
Title: Clustering Time Series While Resisting Outliers
Description: Robust Clustering of Time Series (RCTS) has the functionality to cluster time series using both the classical and the robust interactive fixed effects framework.
The classical framework is developed in Ando & Bai (2017) <doi:10.1080/01621459.2016.1195743>. The implementation within this package excludes the SCAD-penalty on the estimations of beta.
This robust framework is developed in Boudt & Heyndels (2022) <doi:10.1016/j.ecosta.2022.01.002> and is made robust against different kinds of outliers.
The algorithm iteratively updates beta (the coefficients of the observable variables), group membership, and the latent factors (which can be common and/or group-specific) along
with their loadings. The number of groups and factors can be estimated if they are unknown.
Author: Ewoud Heyndels [aut, cre]
Maintainer: Ewoud Heyndels <ewoud.heyndels@vub.be>
Diff between RCTS versions 0.2.3 dated 2022-09-14 and 0.2.4 dated 2023-05-18
RCTS-0.2.3/RCTS/man/calculate_mse_beta.Rd |only RCTS-0.2.3/RCTS/man/mse_heterogeneous_groups.Rd |only RCTS-0.2.4/RCTS/DESCRIPTION | 8 - RCTS-0.2.4/RCTS/MD5 | 28 +-- RCTS-0.2.4/RCTS/NAMESPACE | 1 RCTS-0.2.4/RCTS/R/03_IFE_algorithm_functions.R | 186 ++++++++---------------- RCTS-0.2.4/RCTS/R/functions_parallel.R | 2 RCTS-0.2.4/RCTS/build/partial.rdb |binary RCTS-0.2.4/RCTS/man/add_pic.Rd | 4 RCTS-0.2.4/RCTS/man/add_pic_parallel.Rd | 2 RCTS-0.2.4/RCTS/man/calculate_PIC.Rd | 2 RCTS-0.2.4/RCTS/man/determine_beta.Rd | 5 RCTS-0.2.4/RCTS/man/estimate_beta.Rd | 5 RCTS-0.2.4/RCTS/man/estimate_factor_group.Rd | 2 RCTS-0.2.4/RCTS/man/initialise_beta.Rd | 5 RCTS-0.2.4/RCTS/man/iterate.Rd | 3 16 files changed, 91 insertions(+), 162 deletions(-)
Title: Globally-Applicable Area Disaggregated General Ecosystem Toolbox
V3
Description: A framework to assist creation of marine ecosystem models,
generating either 'R' or 'C++' code which can then be optimised using
the 'TMB' package and standard 'R' tools. Principally designed to
reproduce gadget2 models in 'TMB', but can be extended beyond
gadget2's capabilities.
Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.".
Begley, J., & Howell, D. (2004) <https://core.ac.uk/download/pdf/225936648.pdf> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".
Author: Jamie Lentin [aut, cre] ,
Bjarki Thor Elvarsson [aut] ,
William Butler [aut] ,
Marine and Freshwater Research Institute [cph]
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>
Diff between gadget3 versions 0.8-4 dated 2022-12-09 and 0.9-0 dated 2023-05-18
gadget3-0.8-4/gadget3/R/data.R |only gadget3-0.8-4/gadget3/inst/doc/tmb-gotchas.R |only gadget3-0.8-4/gadget3/inst/doc/tmb-gotchas.Rmd |only gadget3-0.8-4/gadget3/inst/doc/tmb-gotchas.html |only gadget3-0.8-4/gadget3/vignettes/tmb-gotchas.Rmd |only gadget3-0.9-0/gadget3/DESCRIPTION | 10 gadget3-0.9-0/gadget3/MD5 | 92 +++--- gadget3-0.9-0/gadget3/NAMESPACE | 5 gadget3-0.9-0/gadget3/NEWS.md | 27 ++ gadget3-0.9-0/gadget3/R/action_age.R | 29 ++ gadget3-0.9-0/gadget3/R/action_mature.R | 26 + gadget3-0.9-0/gadget3/R/action_migrate.R | 4 gadget3-0.9-0/gadget3/R/action_predate.R | 7 gadget3-0.9-0/gadget3/R/action_renewal.R | 14 - gadget3-0.9-0/gadget3/R/eval.R |only gadget3-0.9-0/gadget3/R/formula_utils.R | 1 gadget3-0.9-0/gadget3/R/likelihood_distribution.R | 174 +++++-------- gadget3-0.9-0/gadget3/R/likelihood_tagging_ckmr.R | 11 gadget3-0.9-0/gadget3/R/run_r.R | 19 + gadget3-0.9-0/gadget3/R/run_tmb.R | 84 ++++-- gadget3-0.9-0/gadget3/R/step.R | 16 + gadget3-0.9-0/gadget3/R/stock.R | 6 gadget3-0.9-0/gadget3/R/suitability.R | 37 ++ gadget3-0.9-0/gadget3/README.md | 10 gadget3-0.9-0/gadget3/build/vignette.rds |binary gadget3-0.9-0/gadget3/inst/doc/model_structure.html | 34 +- gadget3-0.9-0/gadget3/man/action_age.Rd | 5 gadget3-0.9-0/gadget3/man/action_renewal.Rd | 17 - gadget3-0.9-0/gadget3/man/eval.Rd |only gadget3-0.9-0/gadget3/man/language.Rd | 2 gadget3-0.9-0/gadget3/man/likelihood_distribution.Rd | 21 + gadget3-0.9-0/gadget3/man/run_r.Rd | 1 gadget3-0.9-0/gadget3/man/run_tmb.Rd | 1 gadget3-0.9-0/gadget3/man/stock.Rd | 6 gadget3-0.9-0/gadget3/man/suitability.Rd | 47 +++ gadget3-0.9-0/gadget3/tests/test-action_age.R | 39 ++ gadget3-0.9-0/gadget3/tests/test-action_grow.R | 26 - gadget3-0.9-0/gadget3/tests/test-action_mature.R | 12 gadget3-0.9-0/gadget3/tests/test-action_migrate.R | 2 gadget3-0.9-0/gadget3/tests/test-action_predate.R | 1 gadget3-0.9-0/gadget3/tests/test-action_renewal.R | 15 - gadget3-0.9-0/gadget3/tests/test-action_time.R | 12 gadget3-0.9-0/gadget3/tests/test-eval.R |only gadget3-0.9-0/gadget3/tests/test-likelihood_distribution.R | 12 gadget3-0.9-0/gadget3/tests/test-params.R | 2 gadget3-0.9-0/gadget3/tests/test-run_tmb.R | 136 +++++++++- gadget3-0.9-0/gadget3/tests/test-step.R | 11 gadget3-0.9-0/gadget3/tests/test-stock.R | 12 gadget3-0.9-0/gadget3/tests/test-stock_areas.R | 6 gadget3-0.9-0/gadget3/tests/test-suitability.R | 67 +++++ gadget3-0.9-0/gadget3/tests/test-timedata.R | 4 51 files changed, 766 insertions(+), 297 deletions(-)
Title: Graph/Network Visualization
Description: Build graph/network structures using functions for stepwise addition and
deletion of nodes and edges. Work with data available in tables for bulk
addition of nodes, edges, and associated metadata. Use graph selections
and traversals to apply changes to specific nodes or edges. A wide
selection of graph algorithms allow for the analysis of graphs. Visualize
the graphs and take advantage of any aesthetic properties assigned to
nodes and edges.
Author: Richard Iannone [aut, cre]
Maintainer: Richard Iannone <riannone@me.com>
Diff between DiagrammeR versions 1.0.9 dated 2022-03-05 and 1.0.10 dated 2023-05-18
DiagrammeR-1.0.10/DiagrammeR/DESCRIPTION | 17 DiagrammeR-1.0.10/DiagrammeR/MD5 | 606 ++++------ DiagrammeR-1.0.10/DiagrammeR/NAMESPACE | 2 DiagrammeR-1.0.10/DiagrammeR/NEWS.md | 4 DiagrammeR-1.0.10/DiagrammeR/R/DiagrammeR.R | 32 DiagrammeR-1.0.10/DiagrammeR/R/add_balanced_tree.R | 25 DiagrammeR-1.0.10/DiagrammeR/R/add_cycle.R | 23 DiagrammeR-1.0.10/DiagrammeR/R/add_edge.R | 21 DiagrammeR-1.0.10/DiagrammeR/R/add_edge_clone.R | 13 DiagrammeR-1.0.10/DiagrammeR/R/add_edge_df.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/add_edges_from_table.R | 24 DiagrammeR-1.0.10/DiagrammeR/R/add_edges_w_string.R | 14 DiagrammeR-1.0.10/DiagrammeR/R/add_forward_edges_ws.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/add_full_graph.R | 26 DiagrammeR-1.0.10/DiagrammeR/R/add_global_graph_attrs.R | 12 DiagrammeR-1.0.10/DiagrammeR/R/add_gnm_graph.R | 28 DiagrammeR-1.0.10/DiagrammeR/R/add_gnp_graph.R | 28 DiagrammeR-1.0.10/DiagrammeR/R/add_graph_action.R | 12 DiagrammeR-1.0.10/DiagrammeR/R/add_graph_to_graph_series.R | 8 DiagrammeR-1.0.10/DiagrammeR/R/add_grid_2d.R | 24 DiagrammeR-1.0.10/DiagrammeR/R/add_grid_3d.R | 26 DiagrammeR-1.0.10/DiagrammeR/R/add_growing_graph.R | 28 DiagrammeR-1.0.10/DiagrammeR/R/add_islands_graph.R | 31 DiagrammeR-1.0.10/DiagrammeR/R/add_n_node_clones.R | 14 DiagrammeR-1.0.10/DiagrammeR/R/add_n_nodes.R | 18 DiagrammeR-1.0.10/DiagrammeR/R/add_n_nodes_ws.R | 26 DiagrammeR-1.0.10/DiagrammeR/R/add_node.R | 24 DiagrammeR-1.0.10/DiagrammeR/R/add_node_clones_ws.R | 14 DiagrammeR-1.0.10/DiagrammeR/R/add_node_df.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/add_nodes_from_df_cols.R | 16 DiagrammeR-1.0.10/DiagrammeR/R/add_nodes_from_table.R | 19 DiagrammeR-1.0.10/DiagrammeR/R/add_pa_graph.R | 37 DiagrammeR-1.0.10/DiagrammeR/R/add_prism.R | 22 DiagrammeR-1.0.10/DiagrammeR/R/add_reverse_edges_ws.R | 13 DiagrammeR-1.0.10/DiagrammeR/R/add_smallworld_graph.R | 34 DiagrammeR-1.0.10/DiagrammeR/R/add_star.R | 22 DiagrammeR-1.0.10/DiagrammeR/R/clear_selection.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/colorize_edge_attrs.R | 20 DiagrammeR-1.0.10/DiagrammeR/R/colorize_node_attrs.R | 20 DiagrammeR-1.0.10/DiagrammeR/R/combine_edfs.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/combine_graphs.R | 8 DiagrammeR-1.0.10/DiagrammeR/R/combine_ndfs.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/copy_edge_attrs.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/copy_node_attrs.R | 13 DiagrammeR-1.0.10/DiagrammeR/R/count_asymmetric_node_pairs.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_automorphisms.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_edges.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_graphs_in_graph_series.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_loop_edges.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_mutual_node_pairs.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_nodes.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_s_connected_cmpts.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_unconnected_node_pairs.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/count_w_connected_cmpts.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/create_edge_df.R | 12 DiagrammeR-1.0.10/DiagrammeR/R/create_graph.R | 18 DiagrammeR-1.0.10/DiagrammeR/R/create_graph_series.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/create_node_df.R | 14 DiagrammeR-1.0.10/DiagrammeR/R/delete_cache.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/delete_edge.R | 20 DiagrammeR-1.0.10/DiagrammeR/R/delete_edges_ws.R | 4 DiagrammeR-1.0.10/DiagrammeR/R/delete_global_graph_attrs.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/delete_graph_actions.R | 8 DiagrammeR-1.0.10/DiagrammeR/R/delete_loop_edges_ws.R | 4 DiagrammeR-1.0.10/DiagrammeR/R/delete_node.R | 8 DiagrammeR-1.0.10/DiagrammeR/R/delete_nodes_ws.R | 4 DiagrammeR-1.0.10/DiagrammeR/R/deselect_edges.R | 8 DiagrammeR-1.0.10/DiagrammeR/R/deselect_nodes.R | 8 DiagrammeR-1.0.10/DiagrammeR/R/display_metagraph.R | 3 DiagrammeR-1.0.10/DiagrammeR/R/do_bfs.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/do_dfs.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/docs_node_edge_aes_data.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/drop_edge_attrs.R | 11 DiagrammeR-1.0.10/DiagrammeR/R/drop_node_attrs.R | 11 DiagrammeR-1.0.10/DiagrammeR/R/edge_aes.R | 5 DiagrammeR-1.0.10/DiagrammeR/R/edge_data.R | 5 DiagrammeR-1.0.10/DiagrammeR/R/export_csv.R | 14 DiagrammeR-1.0.10/DiagrammeR/R/export_graph.R | 42 DiagrammeR-1.0.10/DiagrammeR/R/filter_graph_series.R | 12 DiagrammeR-1.0.10/DiagrammeR/R/from_adj_matrix.R | 18 DiagrammeR-1.0.10/DiagrammeR/R/fully_connect_nodes_ws.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/generate_dot.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/get_adhesion.R | 2 DiagrammeR-1.0.10/DiagrammeR/R/get_agg_degree_in.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/get_agg_degree_out.R | 10 DiagrammeR-1.0.10/DiagrammeR/R/get_agg_degree_total.R | 13 DiagrammeR-1.0.10/DiagrammeR/R/get_all_connected_nodes.R | 11 DiagrammeR-1.0.10/DiagrammeR/R/get_alpha_centrality.R | 25 DiagrammeR-1.0.10/DiagrammeR/R/get_articulation_points.R | 3 DiagrammeR-1.0.10/DiagrammeR/R/get_authority_centrality.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_betweenness.R | 3 DiagrammeR-1.0.10/DiagrammeR/R/get_cache.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_closeness.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_closeness_vitality.R | 3 DiagrammeR-1.0.10/DiagrammeR/R/get_cmty_edge_btwns.R | 3 DiagrammeR-1.0.10/DiagrammeR/R/get_cmty_fast_greedy.R | 7 DiagrammeR-1.0.10/DiagrammeR/R/get_cmty_l_eigenvec.R | 7 DiagrammeR-1.0.10/DiagrammeR/R/get_cmty_louvain.R | 5 DiagrammeR-1.0.10/DiagrammeR/R/get_cmty_walktrap.R | 11 DiagrammeR-1.0.10/DiagrammeR/R/get_common_nbrs.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_coreness.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_degree_distribution.R | 11 DiagrammeR-1.0.10/DiagrammeR/R/get_degree_histogram.R | 11 DiagrammeR-1.0.10/DiagrammeR/R/get_degree_in.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_degree_out.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_degree_total.R | 9 DiagrammeR-1.0.10/DiagrammeR/R/get_dice_similarity.R | 13 DiagrammeR-1.0.10/DiagrammeR/R/get_eccentricity.R | 9 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|only DiagrammeR-1.0.9/DiagrammeR/man/get_bridging.Rd |only DiagrammeR-1.0.9/DiagrammeR/man/get_constraint.Rd |only 306 files changed, 2002 insertions(+), 1252 deletions(-)
Title: Basic and Advanced Statistical Power Analysis
Description: This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.
Author: Zhiyong Zhang [aut, cre],
Yujiao Mai [aut],
Miao Yang [ctb],
Ziqian Xu [ctb],
Conor McNamara [ctb]
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
Diff between WebPower versions 0.9.2 dated 2023-05-09 and 0.9.3 dated 2023-05-18
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NAMESPACE | 6 ++++++ R/webpower.R | 2 +- 4 files changed, 14 insertions(+), 8 deletions(-)
Title: Modeling Group Differences and Moderation Effects in Statistical
Network Models
Description: A toolbox for modeling manifest and latent group differences and moderation effects in various statistical network models.
Author: Jonas Haslbeck [aut, cre]
Maintainer: Jonas Haslbeck <jonashaslbeck@protonmail.com>
Diff between mnet versions 0.1.0 dated 2023-04-23 and 0.1.1 dated 2023-05-18
mnet-0.1.0/mnet/data/mlVARGD_sim.RData |only mnet-0.1.1/mnet/DESCRIPTION | 6 mnet-0.1.1/mnet/MD5 | 27 - mnet-0.1.1/mnet/NAMESPACE | 4 mnet-0.1.1/mnet/NEWS |only mnet-0.1.1/mnet/R/mlVAR_GC.R | 426 ++++++++++++++---------- mnet-0.1.1/mnet/R/print.mlVAR_GC.R |only mnet-0.1.1/mnet/README.md | 4 mnet-0.1.1/mnet/data/ExampleData.RData |only mnet-0.1.1/mnet/data/dataFried.RData |only mnet-0.1.1/mnet/inst/doc/Vignette_mlVAR_GC.R | 21 - mnet-0.1.1/mnet/inst/doc/Vignette_mlVAR_GC.Rmd | 25 - mnet-0.1.1/mnet/inst/doc/Vignette_mlVAR_GC.html | 170 ++++----- mnet-0.1.1/mnet/man/mlVAR_GC.Rd | 40 +- mnet-0.1.1/mnet/man/mnet-internal.Rd | 5 mnet-0.1.1/mnet/tests/testthat/test-mlVAR_GC.R | 6 mnet-0.1.1/mnet/vignettes/Vignette_mlVAR_GC.Rmd | 25 - 17 files changed, 419 insertions(+), 340 deletions(-)
Title: Planning and Analyzing Dose Finding Experiments
Description: The DoseFinding package provides functions for the design and analysis
of dose-finding experiments (with focus on pharmaceutical Phase
II clinical trials). It provides functions for: multiple contrast
tests, fitting non-linear dose-response models (using Bayesian and
non-Bayesian estimation), calculating optimal designs and an
implementation of the MCPMod methodology (Pinheiro et al. (2014)
<doi:10.1002/sim.6052>).
Author: Bjoern Bornkamp [aut, cre] ,
Jose Pinheiro [aut],
Frank Bretz [aut],
Ludger Sandig [aut]
Maintainer: Bjoern Bornkamp <bbnkmp@mail.de>
Diff between DoseFinding versions 1.0-3 dated 2023-01-06 and 1.0-4 dated 2023-05-18
ChangeLog | 6 + DESCRIPTION | 8 - MD5 | 29 +++--- R/powMCT.R | 149 +++++++++++++++++++++++++++++++++++ build/vignette.rds |binary inst/doc/analysis_normal.html | 6 - inst/doc/binary_data.Rmd | 1 inst/doc/binary_data.html | 5 - inst/doc/faq.Rmd | 1 inst/doc/overview.html | 6 - inst/doc/sample_size.html | 4 man/DoseFinding-package.Rd | 4 tests/testthat/test-powMCTBinCount.R |only vignettes/binary_data.Rmd | 1 vignettes/faq.Rmd | 1 vignettes/refs.bib | 2 16 files changed, 192 insertions(+), 31 deletions(-)
Title: Pin, Discover and Share Resources
Description: Publish data sets, models, and other R objects, making it
easy to share them across projects and with your colleagues. You can
pin objects to a variety of "boards", including local folders (to
share on a networked drive or with 'DropBox'), 'RStudio' connect,
Amazon S3, and more.
Author: Julia Silge [cre, aut] ,
Hadley Wickham [aut] ,
Javier Luraschi [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>
Diff between pins versions 1.1.0 dated 2023-01-21 and 1.2.0 dated 2023-05-18
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Title: E-Value in the Omics Data Association Studies
Description: In the omics data association studies, it is common to conduct the p-value corrections to control the false significance. Among those p-value correction methods, E-value is recently studied based on V. Vovk and R. Wang (2021) <doi:10.1214/20-AOS2020>. This package provides e-value calculation for several types of omics data association studies. Currently, four data formats are supported: BiSeq, MDRfinder, methylKit and metilene data. The relevant references are listed below: Katja Hebestreit and Hans-Ulrich Klein (2022) <doi:10.18129/B9.bioc.BiSeq>; Altuna Akalin et.al (2012) <doi:10.18129/B9.bioc.methylKit>.
Author: Yifan Yang [aut, cre, cph],
Xiaoqing Pan [aut],
Haoyuan Liu [aut]
Maintainer: Yifan Yang <yfyang.86@hotmail.com>
Diff between metevalue versions 0.1.14 dated 2023-03-27 and 0.2.2 dated 2023-05-18
DESCRIPTION | 8 - MD5 | 42 +++--- NAMESPACE | 2 R/evalue_data_chk.R | 32 ++--- R/evalue_data_methylKit.R | 20 +-- R/evalue_data_metilene.R | 2 R/evalue_main.R | 235 ++++++++++++++++++++++++++++++++++---- build/partial.rdb |binary data/demo_desq_out.rda |only inst/doc/metevalue.R | 10 + inst/doc/metevalue.Rmd | 137 ++++++++++------------ inst/doc/metevalue.html | 162 ++++++++++++++------------ man/demo_desq_out.Rd |only man/metevalue.DMRfinder.chk.Rd | 8 - man/metevalue.RNA_general.Rd |only man/metevalue.biseq.chk.Rd | 8 - man/metevalue.methylKit.Rd | 20 +-- man/metevalue.methylKit.chk.Rd | 8 - man/metevalue.metilene.Rd | 2 man/metevalue.metilene.chk.Rd | 8 - man/varevalue.metilene.Rd | 33 +++-- man/varevalue.signle_general.Rd |only tests/testthat/test-evalue_main.R | 9 + vignettes/metevalue.Rmd | 137 ++++++++++------------ 24 files changed, 559 insertions(+), 324 deletions(-)
Title: Bayesian Modeling and Causal Inference for Multivariate
Longitudinal Data
Description: Easy-to-use and efficient interface for
Bayesian inference of complex panel (time series) data using dynamic
multivariate panel models by Helske and Tikka (2022)
<doi:10.31235/osf.io/mdwu5>. The package supports joint modeling of multiple
measurements per individual, time-varying and time-invariant effects, and a
wide range of discrete and continuous distributions. Estimation of these
dynamic multivariate panel models is carried out via 'Stan'. For an
in-depth tutorial of the package, see (Tikka and Helske, 2023)
<arxiv:2302.01607>.
Author: Santtu Tikka [aut, cre] ,
Jouni Helske [aut] ,
Nicholas Clark [rev],
Lucy D’Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>
Diff between dynamite versions 1.4.1 dated 2023-05-10 and 1.4.2 dated 2023-05-18
DESCRIPTION | 6 MD5 | 91 NEWS.md | 8 R/as_data_table.R | 1308 ++++++------- R/as_draws.R | 168 - R/dynamite-package.R | 538 ++--- R/dynamite.R | 2300 +++++++++++------------ R/dynamiteformula.R | 1416 +++++++------- R/fitted.R | 170 - R/lags.R | 1122 +++++------ R/lfo.R | 28 R/loo.R | 170 - R/nobs.R | 70 R/predict.R | 1256 ++++++------ R/predict_helpers.R | 2910 +++++++++++++++--------------- R/specials.R | 636 +++--- R/stanblocks.R | 21 R/stanblocks_families.R | 115 - R/update.R | 262 +- R/utilities.R | 884 ++++----- README.md | 9 build/vignette.rds |binary data/categorical_example_fit.rda |binary data/gaussian_example_fit.rda |binary data/multichannel_example_fit.rda |binary inst/doc/dynamite.Rmd | 1152 +++++------ inst/doc/dynamite.html | 537 ++--- inst/doc/dynamite_simulation.Rmd | 380 +-- man/dynamite.Rd | 24 man/figures/README-unnamed-chunk-10-1.png |binary man/fitted.dynamitefit.Rd | 62 man/lfo.Rd | 12 man/loo.dynamitefit.Rd | 10 man/plot.lfo.Rd | 8 man/predict.dynamitefit.Rd | 86 man/print.lfo.Rd | 8 tests/testthat/Rplots.pdf |only tests/testthat/test-cmdstanr.R | 398 ++-- tests/testthat/test-edgecases.R | 1164 ++++++------ tests/testthat/test-errors.R | 2766 ++++++++++++++-------------- tests/testthat/test-extended.R | 528 ++--- tests/testthat/test-grunfeld.R | 162 - tests/testthat/test-internals.R | 378 +-- tests/testthat/test-output.R | 638 +++--- tests/testthat/test-warnings.R | 582 +++--- vignettes/dynamite.Rmd | 1152 +++++------ vignettes/dynamite_simulation.Rmd | 380 +-- 47 files changed, 12022 insertions(+), 11893 deletions(-)
Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the
JavaScript library 'DataTables' (typically via R Markdown or Shiny). The
'DataTables' library has been included in this R package. The package name
'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut, cre],
Joe Cheng [aut],
Xianying Tan [aut],
JJ Allaire [ctb],
Maximilian Girlich [ctb],
Greg Freedman Ellis [ctb],
Johannes Rauh [ctb],
SpryMedia Limited [ctb, cph] ,
Brian Reavis [ctb, cph] ,
Leon Gersen [ctb, cph] ,
Bartek Szopka [ct [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between DT versions 0.27 dated 2023-01-17 and 0.28 dated 2023-05-18
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Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for descriptive statistics (e.g., frequency table, cross tabulation, multilevel descriptive statistics, multilevel R-squared measures, within-group and between-group correlation matrix, various effect size measures), data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and group scores, reading and writing SPSS and Excel files), missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), item analysis (e.g., coefficient alpha and omega, confirmatory factor analysis), and statistical analysis (e.g., confidence intervals, collinearity diagnostics, analysis of variance, t-test, z-test, sample size determination).
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Diff between misty versions 0.4.9 dated 2023-05-02 and 0.4.10 dated 2023-05-18
DESCRIPTION | 8 - MD5 | 26 ++-- NEWS.md | 5 R/aov.b.R | 13 -- R/item.alpha.R | 2 R/item.omega.R | 18 -- R/multilevel.cor.R | 3 R/print.misty.object.R | 73 +++++------ R/write.result.R | 4 man/item.cfa.Rd | 4 man/item.omega.Rd | 4 man/multilevel.cor.Rd | 4 man/script.open.Rd | 3 man/write.result.Rd | 306 ++++++++++++++++++++++++------------------------- 14 files changed, 231 insertions(+), 242 deletions(-)
Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov
chains more easily. In addition functions to perform statistical (fitting
and drawing random variates) and probabilistic (analysis of their structural
proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>.
Some functions for continuous times Markov chains depends on the suggested ctmcd package, that,
as May 2023, can be retrieved from <https://cran.r-project.org/src/contrib/Archive/ctmcd/ctmcd_1.4.2.tar.gz>.
Author: Giorgio Alfredo Spedicato [aut, cre]
,
Tae Seung Kang [aut],
Sai Bhargav Yalamanchi [aut],
Mildenberger Thoralf [ctb] ,
Deepak Yadav [aut],
Ignacio Cordon [aut] ,
Vandit Jain [ctb],
Toni Giorgino [ctb] ,
Richel J.C. Bilderbeek [ctb] ,
Daniel Ebbert [ [...truncated...]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>
Diff between markovchain versions 0.9.1 dated 2023-01-19 and 0.9.3 dated 2023-05-18
markovchain-0.9.1/markovchain/tests/testthat/testHigherOrder.R |only markovchain-0.9.1/markovchain/tests/testthat/testPlot.R |only markovchain-0.9.3/markovchain/DESCRIPTION | 15 +- markovchain-0.9.3/markovchain/LICENSE |only markovchain-0.9.3/markovchain/MD5 | 71 ++++------ markovchain-0.9.3/markovchain/NEWS.md | 10 + markovchain-0.9.3/markovchain/R/classesAndMethods.R | 5 markovchain-0.9.3/markovchain/R/ctmcProbabilistic.R | 5 markovchain-0.9.3/markovchain/R/fitHigherOrder.R | 7 markovchain-0.9.3/markovchain/R/hommc.R | 8 - markovchain-0.9.3/markovchain/R/supplementaryPlot.R | 13 + markovchain-0.9.3/markovchain/R/sysdata.rda |binary markovchain-0.9.3/markovchain/build/vignette.rds |binary markovchain-0.9.3/markovchain/data/blanden.rda |binary markovchain-0.9.3/markovchain/data/craigsendi.rda |binary markovchain-0.9.3/markovchain/data/holson.rda |binary markovchain-0.9.3/markovchain/data/kullback.rda |binary markovchain-0.9.3/markovchain/data/preproglucacon.rda |binary markovchain-0.9.3/markovchain/data/rain.rda |binary markovchain-0.9.3/markovchain/data/sales.rda |binary markovchain-0.9.3/markovchain/data/tm_abs.rda |binary markovchain-0.9.3/markovchain/inst/CITATION | 24 +-- markovchain-0.9.3/markovchain/inst/doc/an_introduction_to_markovchain_package.R | 4 markovchain-0.9.3/markovchain/inst/doc/an_introduction_to_markovchain_package.Rmd | 4 markovchain-0.9.3/markovchain/inst/doc/an_introduction_to_markovchain_package.pdf |binary markovchain-0.9.3/markovchain/inst/doc/gsoc_2017_additions.R | 23 ++- markovchain-0.9.3/markovchain/inst/doc/gsoc_2017_additions.Rmd | 19 ++ markovchain-0.9.3/markovchain/inst/doc/gsoc_2017_additions.pdf |binary markovchain-0.9.3/markovchain/inst/doc/higher_order_markov_chains.R | 11 + markovchain-0.9.3/markovchain/inst/doc/higher_order_markov_chains.Rmd | 11 + markovchain-0.9.3/markovchain/inst/doc/higher_order_markov_chains.pdf |binary markovchain-0.9.3/markovchain/man/fitHigherOrder.Rd | 3 markovchain-0.9.3/markovchain/src/Makevars | 3 markovchain-0.9.3/markovchain/src/Makevars.win | 5 markovchain-0.9.3/markovchain/tests/testthat/testctmc.R | 22 ++- markovchain-0.9.3/markovchain/vignettes/an_introduction_to_markovchain_package.Rmd | 4 markovchain-0.9.3/markovchain/vignettes/gsoc_2017_additions.Rmd | 19 ++ markovchain-0.9.3/markovchain/vignettes/higher_order_markov_chains.Rmd | 11 + 38 files changed, 213 insertions(+), 84 deletions(-)
Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine
learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling,
Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust
results, without the need of repetitive coding or extensive R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>
Diff between lares versions 5.2.1 dated 2023-03-23 and 5.2.2 dated 2023-05-18
DESCRIPTION | 6 - MD5 | 117 ++++++++++++------------ NAMESPACE | 2 R/audio.R | 6 - R/cache.R | 11 +- R/chatgpt.R | 101 ++++++++++++++------- R/credentials.R | 7 - R/currency.R | 27 ++--- R/facebook.R | 65 ++++++++----- R/frequencies.R | 17 +++ R/mails.R | 6 - R/model_functions.R | 36 ++++--- R/model_plots.R | 3 R/onehotencoding.R | 9 + R/other_functions.R | 19 +++ R/stocks.R | 3 R/text_mining.R | 33 ++++-- R/zzz.R | 12 ++ inst/doc/h2o_automl.html | 226 +++++++++++++++++++++++------------------------ man/autoline.Rd | 1 man/bind_files.Rd | 1 man/bring_api.Rd | 1 man/cache_write.Rd | 12 +- man/clean_text.Rd | 34 +++++-- man/date_feats.Rd | 6 - man/db_download.Rd | 1 man/db_upload.Rd | 1 man/export_plot.Rd | 1 man/export_results.Rd | 1 man/files_functions.Rd | 1 man/font_exists.Rd | 1 man/formatColoured.Rd | 1 man/format_string.Rd | 1 man/freqs_df.Rd | 5 + man/freqs_plot.Rd | 12 ++ man/get_credentials.Rd | 14 ++ man/glued.Rd | 1 man/gpt_ask.Rd | 31 ++++-- man/grepm.Rd | 1 man/h2o_selectmodel.Rd | 1 man/haveInternet.Rd | 1 man/image_metadata.Rd | 1 man/importxlsx.Rd | 1 man/ip_data.Rd | 1 man/json2vector.Rd | 1 man/list_cats.Rd | 1 man/listfiles.Rd | 1 man/mail_send.Rd | 6 + man/markdown2df.Rd |only man/move_files.Rd | 1 man/msplit.Rd | 1 man/myip.Rd | 1 man/quiet.Rd | 1 man/read.file.Rd | 1 man/statusbar.Rd | 1 man/tic.Rd | 1 man/try_require.Rd | 1 man/updateLares.Rd | 1 man/warnifnot.Rd | 1 man/what_size.Rd | 1 60 files changed, 540 insertions(+), 318 deletions(-)
Title: Tools and GUI for Analyzing Time Series Data of Just Finance and
Econometrics
Description: Offers a menu-driven GUI to support financial and economic time series modelling and enhanced procedures for computing the investment performance indices of Bacon (2004) <DOI:10.1002/9781119206309>.
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>
Diff between JFE versions 2.5.3 dated 2022-05-06 and 2.5.4 dated 2023-05-18
DESCRIPTION | 19 - MD5 | 92 ++++---- NAMESPACE | 6 R/01utilities.R | 2 R/02price.R | 4 R/03returns.R | 4 R/04assetsSelection.R | 11 - R/05Portfolio.R | 2 R/06GARCH.R | 2 R/JFE.R | 6 R/PerformanceIndex.R | 423 ++++++++++++++++++++--------------------- man/ActivePremium.Rd | 31 +-- man/AdjustedSharpeRatio.Rd | 26 +- man/AppraisalRatio.Rd | 24 +- man/BernardoLedoitRatio.Rd | 20 + man/BurkeRatio.Rd | 20 + man/CAPM.jensenAlpha.Rd | 19 + man/CalmarRatio.Rd | 47 ++-- man/DRatio.Rd | 27 +- man/DownsideDeviation.Rd | 67 +++++- man/DrawdownPeak.Rd | 12 - man/InformationRatio.Rd | 26 +- man/KellyRatio.Rd | 28 +- man/M2Sortino.Rd | 21 +- man/MartinRatio.Rd | 21 +- man/MeanAbsoluteDeviation.Rd | 17 + man/OmegaSharpeRatio.Rd | 21 +- man/PainIndex.Rd | 17 + man/PainRatio.Rd | 9 man/ProspectRatio.Rd | 19 + man/Return.annualized.Rd | 25 +- man/SharpeRatio.Rd | 39 ++- man/SharpeRatio.annualized.Rd | 35 ++- man/SkewnessKurtosisRatio.Rd | 19 + man/SortinoRatio.Rd | 24 +- man/TrackingError.Rd | 18 + man/TreynorRatio.Rd | 28 +- man/UlcerIndex.Rd | 16 - man/VolatilitySkewness.Rd | 19 + man/getBIS.Rd | 9 man/getFed.Rd | 4 man/getFrench.Factors.Rd | 3 man/getFrench.Portfolios.Rd | 12 - man/maxDrawdown.Rd | 20 - man/riskOptimalPortfolio.Rd | 13 - man/riskParityPortfolio.Rd | 10 man/table.AnnualizedReturns.Rd | 15 - 47 files changed, 790 insertions(+), 562 deletions(-)
Title: Download and Visualize Essential Climate Change Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, methane, emissions, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/home>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dio [...truncated...]
Author: Hernando Cortina [aut, cre]
Maintainer: Hernando Cortina <hch@alum.mit.edu>
Diff between hockeystick versions 0.7.2 dated 2023-03-21 and 0.7.3 dated 2023-05-18
DESCRIPTION | 6 - MD5 | 56 +++++++-------- NEWS.md | 4 + R/2kyears_temp.R | 2 R/carbon.R | 6 - R/emissions.R | 2 R/extra_viz.R | 12 +-- R/isConnected.R | 40 +++++------ R/paleo.R | 4 - R/seaice.R | 2 R/sealevel.R | 2 README.md | 1 build/partial.rdb |binary man/figures/README-carbon-1.png |binary man/figures/README-grid-1.png |binary man/figures/README-hurricanes-1.png |binary man/figures/README-hurricanes-2.png |binary man/figures/README-icecurves-1.png |binary man/figures/README-methane-1.png |binary man/figures/README-stripes-1.png |binary man/figures/README-stripes2-1.png |binary man/figures/README-temp-1.png |binary man/get_carbon.Rd | 98 +++++++++++++-------------- man/get_icecurves.Rd | 124 +++++++++++++++++----------------- man/get_methane.Rd | 100 +++++++++++++-------------- man/get_seaice.Rd | 130 ++++++++++++++++++------------------ man/get_sealevel.Rd | 112 +++++++++++++++---------------- man/get_temp2k.Rd | 104 ++++++++++++++-------------- man/hockeystick-package.Rd | 52 +++++++------- 29 files changed, 431 insertions(+), 426 deletions(-)
Title: GNU Privacy Guard for R
Description: Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic
methods. Includes utilities for public key encryption, creating and verifying
digital signatures, and managing your local keyring. Some functionality
depends on the version of GnuPG that is installed on the system. On Windows
this package can be used together with 'GPG4Win' which provides a GUI for
managing keys and entering passphrases.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between gpg versions 1.2.8 dated 2022-10-13 and 1.2.9 dated 2023-05-18
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS | 4 ++++ R/keys.R | 2 +- R/signing.R | 6 +++--- build/vignette.rds |binary configure | 4 ++++ inst/doc/intro.html | 14 ++++---------- man/gpg_keys.Rd | 2 +- man/gpg_sign.Rd | 6 +++--- 10 files changed, 33 insertions(+), 31 deletions(-)
Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for
quantitative text analysis in R. Provides functionality for corpus management,
creating and manipulating tokens and n-grams, exploring keywords in context,
forming and manipulating sparse matrices
of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and
distances, applying content dictionaries, applying supervised and unsupervised machine learning,
visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph]
,
Kohei Watanabe [aut] ,
Haiyan Wang [aut] ,
Paul Nulty [aut] ,
Adam Obeng [aut] ,
Stefan Mueller [aut] ,
Akitaka Matsuo [aut] ,
William Lowe [aut] ,
Christian Mueller [ctb],
Olivier Delmarcelle [ctb] ,
European Research [...truncated...]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Diff between quanteda versions 3.3.0 dated 2023-04-07 and 3.3.1 dated 2023-05-18
DESCRIPTION | 6 - MD5 | 46 ++++---- NAMESPACE | 3 NEWS.md | 14 ++ R/docvars.R | 10 - R/object-builder.R | 5 R/pattern2fixed.R | 147 ++++++++++++++++----------- R/readtext-methods.R | 35 +++--- R/tokenizers.R | 2 R/tokens_ngrams.R | 5 README.md | 2 build/partial.rdb |binary build/vignette.rds |binary man/head.dfm.Rd | 3 man/object-builders.Rd | 9 + man/readtext-methods.Rd | 29 +++-- src/tokens_compound.cpp | 8 + tests/data/corpora/data_readtext_example.rda |only tests/testthat/test-fcm.R | 4 tests/testthat/test-fcm_methods.R | 17 ++- tests/testthat/test-pattern2fixed.R | 87 ++++++++++++--- tests/testthat/test-readtext-methods.R |only tests/testthat/test-tokens-word4.R | 19 +-- tests/testthat/test-tokens_compound.R | 21 +++ tests/testthat/test-tokens_ngrams.R | 6 - 25 files changed, 316 insertions(+), 162 deletions(-)
Title: Software Tools to Quantify Structural Importance of Nodes in a
Network
Description: Provides functionality to compute various node centrality measures on networks.
Included are functions to compute betweenness centrality (by utilizing Madduri and Bader's
SNAP library), implementations of constraint and effective network size by Burt (2000) <doi:10.1016/S0191-3085(00)22009-1>; algorithm
to identify key players by Borgatti (2006) <doi:10.1007/s10588-006-7084-x>; and the
bridging algorithm by Valente and Fujimoto (2010) <doi:10.1016/j.socnet.2010.03.003>.
On Unix systems, the betweenness, Key Players, and
bridging implementations are parallelized with OpenMP, which may run
faster on systems which have OpenMP configured.
Author: Simon Jacobs [aut], Aditya Khanna [aut, cre], Kamesh Madduri [ctb], David Bader [ctb]
Maintainer: Aditya Khanna <khanna7.work@gmail.com>
Diff between influenceR versions 0.1.0.2 dated 2023-05-05 and 0.1.5 dated 2023-05-18
influenceR-0.1.0.2/influenceR/src/init.c |only influenceR-0.1.5/influenceR/DESCRIPTION | 28 ++----- influenceR-0.1.5/influenceR/MD5 | 37 +++++----- influenceR-0.1.5/influenceR/NAMESPACE | 2 influenceR-0.1.5/influenceR/NEWS.md |only influenceR-0.1.5/influenceR/R/graph_metrics.R | 10 +- influenceR-0.1.5/influenceR/R/influenceR.R | 4 - influenceR-0.1.5/influenceR/README.md | 11 ++ influenceR-0.1.5/influenceR/man/betweenness.Rd | 12 +-- influenceR-0.1.5/influenceR/man/bridging.Rd | 4 - influenceR-0.1.5/influenceR/man/constraint.Rd | 4 - influenceR-0.1.5/influenceR/man/csv.to.igraph.Rd | 4 - influenceR-0.1.5/influenceR/man/ens.Rd | 11 +- influenceR-0.1.5/influenceR/man/influenceR.Rd | 7 - influenceR-0.1.5/influenceR/man/keyplayer.Rd | 8 +- influenceR-0.1.5/influenceR/src/bridging.c | 8 +- influenceR-0.1.5/influenceR/src/graph_defs.h | 2 influenceR-0.1.5/influenceR/src/keyplayer.c | 12 ++- influenceR-0.1.5/influenceR/src/packagename_init.c |only influenceR-0.1.5/influenceR/src/snap_wrapper.c | 2 influenceR-0.1.5/influenceR/src/vertex_betweenness_centrality.c | 8 +- 21 files changed, 91 insertions(+), 83 deletions(-)
Title: Joint Clustering and Alignment of Functional Data
Description: Implementations of the popular k-means and hierarchical
agglomerative clustering (HAC) methods for functional data which allows for
jointly aligning and clustering curves. It supports functional data defined
on one-dimensional domains but possibly evaluating in multivariate
codomains. It supports functional data defined in arrays but also via the
'fd' and 'funData' classes for functional data defined in the 'fda' and
'funData' packages respectively. It currently supports shift, dilation and
affine warping functions for functional data defined on the real line and
uses the SRSF framework to handle boundary-preserving warping for functional
data defined on a specific interval. Main reference for the k-means
algorithm: Sangalli L.M., Secchi P., Vantini S., Vitelli V. (2010) "k-mean
alignment for curve clustering" <doi:10.1016/j.csda.2009.12.008>. Main
reference for the SRSF framework: Tucker, J. D., Wu, W., & Srivastava, A.
(2013) "Generative models for functional data using pha [...truncated...]
Author: Aymeric Stamm [aut, cre] ,
Laura Sangalli [ctb],
Piercesare Secchi [ctb],
Simone Vantini [ctb],
Valeria Vitelli [ctb],
Alessandro Zito [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Diff between fdacluster versions 0.1.1 dated 2022-05-10 and 0.2.0 dated 2023-05-18
fdacluster-0.1.1/fdacluster/R/kma.R |only fdacluster-0.1.1/fdacluster/R/plot-kma.R |only fdacluster-0.1.1/fdacluster/R/utils-pipe.R |only fdacluster-0.1.1/fdacluster/data/aneurisk65.rda |only fdacluster-0.1.1/fdacluster/man/aneurisk65.Rd |only fdacluster-0.1.1/fdacluster/man/fdacluster.Rd |only fdacluster-0.1.1/fdacluster/man/kma.Rd |only fdacluster-0.1.1/fdacluster/man/pipe.Rd |only fdacluster-0.1.1/fdacluster/man/plot.kma.Rd |only fdacluster-0.1.1/fdacluster/tests/testthat/test-center.R |only fdacluster-0.1.1/fdacluster/tests/testthat/test-warping.R |only fdacluster-0.2.0/fdacluster/DESCRIPTION | 72 +-- fdacluster-0.2.0/fdacluster/MD5 | 103 +++- fdacluster-0.2.0/fdacluster/NAMESPACE | 24 - fdacluster-0.2.0/fdacluster/NEWS.md | 21 fdacluster-0.2.0/fdacluster/R/RcppExports.R | 4 fdacluster-0.2.0/fdacluster/R/caps-class.R |only fdacluster-0.2.0/fdacluster/R/caps-diagnostic.R |only fdacluster-0.2.0/fdacluster/R/caps-plot.R |only fdacluster-0.2.0/fdacluster/R/compare-caps.R |only fdacluster-0.2.0/fdacluster/R/data.R | 75 ++- fdacluster-0.2.0/fdacluster/R/fdacluster-package.R | 48 +- fdacluster-0.2.0/fdacluster/R/fdadbscan.R |only fdacluster-0.2.0/fdacluster/R/fdadist.R |only fdacluster-0.2.0/fdacluster/R/fdahclust.R |only fdacluster-0.2.0/fdacluster/R/fdakmeans.R |only fdacluster-0.2.0/fdacluster/R/lp-export.R |only fdacluster-0.2.0/fdacluster/R/sysdata.rda |only fdacluster-0.2.0/fdacluster/R/utils.R |only fdacluster-0.2.0/fdacluster/README.md | 186 ++++++-- fdacluster-0.2.0/fdacluster/build |only fdacluster-0.2.0/fdacluster/data/sim30_caps.rda |only fdacluster-0.2.0/fdacluster/data/sim30_mcaps.rda |only fdacluster-0.2.0/fdacluster/data/simulated30_sub.rda |only fdacluster-0.2.0/fdacluster/inst/doc |only fdacluster-0.2.0/fdacluster/inst/include/baseCenterClass.h | 64 +- fdacluster-0.2.0/fdacluster/man/autoplot.caps.Rd |only fdacluster-0.2.0/fdacluster/man/autoplot.mcaps.Rd |only fdacluster-0.2.0/fdacluster/man/caps.Rd |only fdacluster-0.2.0/fdacluster/man/compare_caps.Rd |only fdacluster-0.2.0/fdacluster/man/diagnostic_plot.Rd |only fdacluster-0.2.0/fdacluster/man/fdacluster-package.Rd |only fdacluster-0.2.0/fdacluster/man/fdadbscan.Rd |only fdacluster-0.2.0/fdacluster/man/fdadist.Rd |only fdacluster-0.2.0/fdacluster/man/fdahclust.Rd |only fdacluster-0.2.0/fdacluster/man/fdakmeans.Rd |only fdacluster-0.2.0/fdacluster/man/figures/README-data-1.png |only fdacluster-0.2.0/fdacluster/man/figures/README-example-simulated30-1.png |binary fdacluster-0.2.0/fdacluster/man/figures/README-example-simulated30-2.png |binary fdacluster-0.2.0/fdacluster/man/figures/README-kmeans-amplitude-viz-1.png |only fdacluster-0.2.0/fdacluster/man/figures/README-kmeans-amplitude-viz-2.png |only fdacluster-0.2.0/fdacluster/man/figures/README-kmeans-phase-viz-1.png |only fdacluster-0.2.0/fdacluster/man/figures/README-kmeans-phase-viz-2.png |only fdacluster-0.2.0/fdacluster/man/figures/README-kmeans-viz-1.png |only fdacluster-0.2.0/fdacluster/man/figures/README-kmeans-viz-2.png |only fdacluster-0.2.0/fdacluster/man/figures/logo.png |only fdacluster-0.2.0/fdacluster/man/lp.Rd |only fdacluster-0.2.0/fdacluster/man/plot.caps.Rd |only fdacluster-0.2.0/fdacluster/man/plot.mcaps.Rd |only fdacluster-0.2.0/fdacluster/man/sim30_caps.Rd |only fdacluster-0.2.0/fdacluster/man/sim30_mcaps.Rd |only fdacluster-0.2.0/fdacluster/man/simulated30.Rd | 2 fdacluster-0.2.0/fdacluster/man/simulated30_sub.Rd |only fdacluster-0.2.0/fdacluster/src/Makevars | 1 fdacluster-0.2.0/fdacluster/src/Makevars.win | 1 fdacluster-0.2.0/fdacluster/src/RcppExports.cpp | 10 fdacluster-0.2.0/fdacluster/src/kmaModelClass.cpp | 216 +++++++--- fdacluster-0.2.0/fdacluster/src/kmaModelClass.h | 49 +- fdacluster-0.2.0/fdacluster/src/kmap.cpp | 8 fdacluster-0.2.0/fdacluster/src/kmap.h | 2 fdacluster-0.2.0/fdacluster/src/lowessCenterClass.cpp |only fdacluster-0.2.0/fdacluster/src/lowessCenterClass.h |only fdacluster-0.2.0/fdacluster/src/meanCenterClass.cpp | 3 fdacluster-0.2.0/fdacluster/src/polyCenterClass.cpp |only fdacluster-0.2.0/fdacluster/src/polyCenterClass.h |only fdacluster-0.2.0/fdacluster/tests/testthat.R | 8 fdacluster-0.2.0/fdacluster/tests/testthat/test-caps-diagnostic.R |only fdacluster-0.2.0/fdacluster/tests/testthat/test-fdadist.R |only fdacluster-0.2.0/fdacluster/tests/testthat/test-fdahclust.R |only fdacluster-0.2.0/fdacluster/tests/testthat/test-fdakmeans.R |only fdacluster-0.2.0/fdacluster/vignettes |only 81 files changed, 645 insertions(+), 252 deletions(-)
Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au>, Evan Sergeant <evansergeant@gmail.com>, Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>
Diff between epiR versions 2.0.60 dated 2023-04-05 and 2.0.61 dated 2023-05-18
DESCRIPTION | 10 MD5 | 25 NEWS | 7 R/rsu.dxtest.R | 118 +- build/vignette.rds |binary inst/doc/epiR_descriptive.html | 881 ++++++++++------- inst/doc/epiR_measures_of_association.html | 1440 ++++++++++++++--------------- inst/doc/epiR_sample_size.html | 390 +++++-- inst/doc/epiR_surveillance.html | 1290 ++++++++++++++----------- man/epi.about.Rd | 5 man/epi.betabuster.Rd | 5 man/rsu.dxtest.Rd | 58 - man/rsu.sssep.rs.Rd | 8 vignettes/epiR-manual.pdf |only 14 files changed, 2401 insertions(+), 1836 deletions(-)
Title: Robust Analytical Methods for Evaluating Educational
Interventions using Randomised Controlled Trials Designs
Description: Analysing data from evaluations of educational interventions using a randomised controlled trial design. Various analytical tools to perform sensitivity analysis using different methods are supported (e.g. frequentist models with bootstrapping and permutations options, Bayesian models). The included commands can be used for simple randomised trials, cluster randomised trials and multisite trials. The methods can also be used more widely beyond education trials. This package can be used to evaluate other intervention designs using Frequentist and Bayesian multilevel models.
Author: Germaine Uwimpuhwe, Akansha Singh, Dimitris Vallis, Steve Higgins, ZhiMin Xiao, Ewoud De Troyer and Adetayo Kasim
Maintainer: Germaine Uwimpuhwe <germaine.uwimpuhwe@durham.ac.uk>
Diff between eefAnalytics versions 1.1.0 dated 2022-07-02 and 1.1.1 dated 2023-05-18
DESCRIPTION | 15 MD5 | 14 NEWS.md | 6 R/crtFREQ.R | 1246 ++++++++++++------------ build/vignette.rds |binary inst/doc/eefAnalytics.Rmd | 2270 ++++++++++++++++++++++----------------------- inst/doc/eefAnalytics.html | 120 +- vignettes/eefAnalytics.Rmd | 2270 ++++++++++++++++++++++----------------------- 8 files changed, 2970 insertions(+), 2971 deletions(-)
Title: R6 Based Utilities for 3D Meshes using 'CGAL'
Description: Provides some utilities for 3D meshes: clipping of a mesh to
the volume bounded by another mesh, decomposition into convex parts,
distance between a mesh and a point, Hausdorff distance between two
meshes, triangulation, geodesic distance, Boolean operations
(intersection, union, difference), connected components, subdivision
algorithms, random sampling on a mesh, volume, area, and centroid.
Also provides two algorithms for surface reconstruction from a cloud
of points. Meshes are represented by R6 classes. All algorithms are
performed by the 'C++' library 'CGAL' (<https://www.cgal.org/>).
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Diff between cgalMeshes versions 2.0.0 dated 2023-04-11 and 2.1.0 dated 2023-05-18
DESCRIPTION | 19 ++-- MD5 | 24 ++--- NEWS.md | 11 ++ R/cgalMesh.R | 68 ++++++++++++-- README.md | 4 man/cgalMesh.Rd | 88 +++++++++++++++++- src/AFSreconstruction.cpp | 10 +- src/MODULE.cpp | 7 + src/MODULE.h | 218 ++++++++++++++++++++++++++++++++++------------ src/ReadWrite.cpp | 62 ++++++++++++- src/cgalMesh.h | 64 +++++++++---- src/unexported.cpp | 4 src/unexported1.cpp | 32 +++++- 13 files changed, 480 insertions(+), 131 deletions(-)
Title: Bootstrap Unit Root Tests
Description: Set of functions to perform various bootstrap unit root tests for both individual time series
(including augmented Dickey-Fuller test and union tests), multiple time series and panel data; see
Smeekes and Wilms (2023) <doi:10.18637/jss.v106.i12>,
Palm, Smeekes and Urbain (2008) <doi:10.1111/j.1467-9892.2007.00565.x>,
Palm, Smeekes and Urbain (2011) <doi:10.1016/j.jeconom.2010.11.010>,
Moon and Perron (2012) <doi:10.1016/j.jeconom.2012.01.008>,
Smeekes and Taylor (2012) <doi:10.1017/S0266466611000387> and
Smeekes (2015) <doi:10.1111/jtsa.12110> for key references.
Author: Stephan Smeekes [cre, aut] ,
Ines Wilms [aut]
Maintainer: Stephan Smeekes <s.smeekes@maastrichtuniversity.nl>
Diff between bootUR versions 1.0.0 dated 2023-05-08 and 1.0.2 dated 2023-05-18
DESCRIPTION | 6 - MD5 | 18 +-- NEWS.md | 5 + R/RcppExports.R | 8 - R/auxiliary.R | 20 ++-- R/bootURtests.R | 6 - README.md | 210 ++++++++++++++++++++++----------------------- inst/doc/bootUR-intro.html | 2 src/RcppExports.cpp | 24 ++--- src/bootURfunctions.cpp | 48 ++++------ 10 files changed, 178 insertions(+), 169 deletions(-)
Title: Pre-Processing XY Data from Experimental Methods
Description: A lightweight, dependency-free toolbox for pre-processing XY
data from experimental methods (i.e. any signal that can be measured
along a continuous variable). This package provides methods for
baseline estimation and correction, smoothing, normalization,
integration and peaks detection. Baseline correction methods includes
polynomial fitting as described in Lieber and Mahadevan-Jansen (2003)
<doi:10.1366/000370203322554518>, Rolling Ball algorithm after Kneen
and Annegarn (1996) <doi:10.1016/0168-583X(95)00908-6>, SNIP algorithm
after Ryan et al. (1988) <doi:10.1016/0168-583X(88)90063-8>, 4S Peak
Filling after Liland (2015) <doi:10.1016/j.mex.2015.02.009> and more.
Author: Nicolas Frerebeau [aut, cre] ,
Brice Lebrun [ctb]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Diff between alkahest versions 1.0.0 dated 2022-09-15 and 1.1.0 dated 2023-05-18
alkahest-1.0.0/alkahest/tests/testthat |only alkahest-1.0.0/alkahest/tests/testthat.R |only alkahest-1.1.0/alkahest/DESCRIPTION | 59 ++--- alkahest-1.1.0/alkahest/MD5 | 102 +++++---- alkahest-1.1.0/alkahest/NAMESPACE | 2 alkahest-1.1.0/alkahest/NEWS.md | 11 + alkahest-1.1.0/alkahest/R/AllGenerics.R | 80 +++++++ alkahest-1.1.0/alkahest/R/alkahest-package.R | 4 alkahest-1.1.0/alkahest/R/baseline.R | 11 - alkahest-1.1.0/alkahest/R/smooth.R | 107 ++++++++++ alkahest-1.1.0/alkahest/R/xrd.R |only alkahest-1.1.0/alkahest/README.md | 21 + alkahest-1.1.0/alkahest/build/partial.rdb |binary alkahest-1.1.0/alkahest/build/vignette.rds |binary alkahest-1.1.0/alkahest/inst/CITATION | 24 -- alkahest-1.1.0/alkahest/inst/doc/bibliography.html | 42 ++- alkahest-1.1.0/alkahest/inst/examples/ex-baseline-peakfilling.R | 16 - alkahest-1.1.0/alkahest/inst/examples/ex-peaks.R | 5 alkahest-1.1.0/alkahest/inst/examples/ex-xrd-ka2.R |only alkahest-1.1.0/alkahest/inst/tinytest |only alkahest-1.1.0/alkahest/man/alkahest-package.Rd | 4 alkahest-1.1.0/alkahest/man/baseline_peakfilling.Rd | 35 +-- alkahest-1.1.0/alkahest/man/figures/README-baseline-1.png |binary alkahest-1.1.0/alkahest/man/figures/README-peaks-1.png |binary alkahest-1.1.0/alkahest/man/ka2_strip_penalized.Rd |only alkahest-1.1.0/alkahest/man/peaks_find.Rd | 5 alkahest-1.1.0/alkahest/man/peaks_fwhm.Rd | 5 alkahest-1.1.0/alkahest/man/smooth_likelihood.Rd |only alkahest-1.1.0/alkahest/man/smooth_loess.Rd | 1 alkahest-1.1.0/alkahest/man/smooth_rectangular.Rd | 1 alkahest-1.1.0/alkahest/man/smooth_savitzky.Rd | 1 alkahest-1.1.0/alkahest/man/smooth_triangular.Rd | 1 alkahest-1.1.0/alkahest/man/smooth_whittaker.Rd | 1 alkahest-1.1.0/alkahest/tests/tinytest.R |only alkahest-1.1.0/alkahest/vignettes/bibliography.bib | 23 +- 35 files changed, 390 insertions(+), 171 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-06 0.10.11
2020-05-15 0.10.10
2019-01-11 0.10.9
2018-07-19 0.10.8
2018-01-02 0.10.7
2017-12-01 0.10.6
2017-01-13 0.10.5
2016-07-08 0.10.4
2016-02-05 0.10.3
2015-10-11 0.10.0
2015-07-02 0.9.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-11-29 1.0.1
Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes,
including general, triangular, symmetric, and diagonal matrices
with numeric, logical, or pattern entries. Efficient methods for
operating on such matrices, often wrapping the 'BLAS', 'LAPACK',
and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] ,
Martin Maechler [aut, cre] ,
Mikael Jagan [aut] ,
Timothy A. Davis [ctb] )),
Jens Oehlschlaegel [ctb] ),
Jason Riedy [ctb] and onenormest, Copyright: Regents of the
University of California),
R Core Team [ctb]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>
Diff between Matrix versions 1.5-4 dated 2023-04-04 and 1.5-4.1 dated 2023-05-18
DESCRIPTION | 65 +++++++++++++++++++++++---------------------- MD5 | 18 ++++++------ inst/NEWS.Rd | 9 ++++++ inst/doc/Comparisons.pdf |binary inst/doc/Design-issues.pdf |binary inst/doc/Intro2Matrix.pdf |binary inst/doc/Introduction.pdf |binary inst/doc/sparseModels.pdf |binary src/Lapack-etc.h | 6 ++++ src/dtpMatrix.c | 9 ++++-- 10 files changed, 64 insertions(+), 43 deletions(-)
Title: General-Purpose Unconstrained Non-Linear Optimization
Description: An algorithm for general-purpose unconstrained non-linear optimization.
The algorithm is of quasi-Newton type with BFGS updating of the inverse
Hessian and soft line search with a trust region type monitoring of the
input to the line search algorithm. The interface of 'ucminf' is
designed for easy interchange with 'optim'.
Author: Hans Bruun Nielsen and Stig Bousgaard Mortensen
Maintainer: ORPHANED
Diff between ucminf versions 1.1-4.2 dated 2023-05-10 and 1.1-4.3 dated 2023-05-18
DESCRIPTION | 10 ++++++---- MD5 | 4 ++-- man/ucminf.Rd | 13 ++++++++----- 3 files changed, 16 insertions(+), 11 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-05-06 0.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-03-05 0.4.1
2020-04-04 0.4.0
2020-02-05 0.3.0
2018-12-07 0.2.0
2018-03-09 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-12-03 1.1.0