Tue, 05 May 2020

New package dodgr with initial version 0.2.7
Package: dodgr
Title: Distances on Directed Graphs
Version: 0.2.7
Authors@R: c( person("Mark", "Padgham", email="mark.padgham@email.com", role=c("aut", "cre")), person("Andreas", "Petutschnig", role="aut"), person("Robin", "Lovelace", role="ctb"), person("Andrew", "Smith", role="ctb"), person("Malcolm", "Morgan", role="ctb"), person("Shane", "Saunders", role="cph", comment="Original author of included code for priority heaps"))
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Depends: R (>= 3.5.0)
License: GPL-3
Imports: callr, digest, magrittr, methods, osmdata, Rcpp (>= 0.12.6), RcppParallel, RcppThread
Suggests: dplyr, geodist, ggplot2, igraph, igraphdata, jsonlite, knitr, purrr, rbenchmark, RColorBrewer, rmarkdown, roxygen2, scales, sf, testthat, tidygraph
LinkingTo: Rcpp, RcppParallel, RcppThread
SystemRequirements: C++11, GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
URL: https://github.com/ATFutures/dodgr
BugReports: https://github.com/ATFutures/dodgr/issues
RoxygenNote: 7.1.0
Packaged: 2020-05-05 09:26:33 UTC; smexus
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Shane Saunders [cph] (Original author of included code for priority heaps)
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2020-05-05 22:20:02 UTC

More information about dodgr at CRAN
Permanent link

Package BVAR updated to version 1.0.0 with previous version 0.2.2 dated 2020-02-20

Title: Hierarchical Bayesian Vector Autoregression
Description: Estimation of hierarchical Bayesian vector autoregressive models. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015) <doi:10.1162/REST_a_00483>. Functions to compute and identify impulse responses, calculate forecasts, forecast error variance decompositions and scenarios are available. Several methods to print, plot and summarise results facilitate analysis.
Author: Nikolas Kuschnig [aut, cre] (<https://orcid.org/0000-0002-6642-2543>), Lukas Vashold [aut], Michael McCracken [dtc], Serena Ng [dtc]
Maintainer: Nikolas Kuschnig <nikolas.kuschnig@wu.ac.at>

Diff between BVAR versions 0.2.2 dated 2020-02-20 and 1.0.0 dated 2020-05-05

 BVAR-0.2.2/BVAR/inst/REFERENCES.bib     |only
 BVAR-0.2.2/BVAR/man/as.mcmc.bvar.Rd     |only
 BVAR-0.2.2/BVAR/man/bv_plot_trace.Rd    |only
 BVAR-0.2.2/BVAR/man/companion.bvar.Rd   |only
 BVAR-0.2.2/BVAR/man/logLik.bvar.Rd      |only
 BVAR-1.0.0/BVAR/DESCRIPTION             |   29 +-
 BVAR-1.0.0/BVAR/LICENSE                 |    6 
 BVAR-1.0.0/BVAR/MD5                     |  149 ++++++----
 BVAR-1.0.0/BVAR/NAMESPACE               |   19 +
 BVAR-1.0.0/BVAR/NEWS.md                 |   61 +++-
 BVAR-1.0.0/BVAR/R/10_bvar.R             |  436 +++++++++++++++-----------------
 BVAR-1.0.0/BVAR/R/11_input.R            |   67 +---
 BVAR-1.0.0/BVAR/R/12_aux.R              |  266 ++++++++++++++-----
 BVAR-1.0.0/BVAR/R/13_mvtnorm.R          |only
 BVAR-1.0.0/BVAR/R/15_prep_data.R        |  177 ++++++++----
 BVAR-1.0.0/BVAR/R/20_ml.R               |  111 ++++----
 BVAR-1.0.0/BVAR/R/21_draw.R             |   54 +--
 BVAR-1.0.0/BVAR/R/22_get.R              |   42 +--
 BVAR-1.0.0/BVAR/R/30_metropolis_setup.R |   62 ++--
 BVAR-1.0.0/BVAR/R/35_metropolis_print.R |    7 
 BVAR-1.0.0/BVAR/R/40_priors_setup.R     |   48 +--
 BVAR-1.0.0/BVAR/R/41_minnesota.R        |  152 +++++++----
 BVAR-1.0.0/BVAR/R/42_dummy.R            |   71 ++---
 BVAR-1.0.0/BVAR/R/43_sur_soc.R          |   16 -
 BVAR-1.0.0/BVAR/R/45_priors_print.R     |   34 +-
 BVAR-1.0.0/BVAR/R/50_fcast_setup.R      |   83 ++++--
 BVAR-1.0.0/BVAR/R/51_fcast_compute.R    |   27 -
 BVAR-1.0.0/BVAR/R/52_fcast_cond.R       |only
 BVAR-1.0.0/BVAR/R/54_predict.R          |  141 +++++++---
 BVAR-1.0.0/BVAR/R/55_fcast_print.R      |   64 ++--
 BVAR-1.0.0/BVAR/R/58_fcast_plot.R       |  163 ++++++++---
 BVAR-1.0.0/BVAR/R/60_irf_setup.R        |  102 ++++---
 BVAR-1.0.0/BVAR/R/61_irf_compute.R      |   36 +-
 BVAR-1.0.0/BVAR/R/62_sign_restr.R       |   20 -
 BVAR-1.0.0/BVAR/R/63_fevd.R             |   21 -
 BVAR-1.0.0/BVAR/R/64_irf_method.R       |  200 ++++++++------
 BVAR-1.0.0/BVAR/R/65_irf_print.R        |   94 +++---
 BVAR-1.0.0/BVAR/R/68_irf_plot.R         |  134 ++++++---
 BVAR-1.0.0/BVAR/R/80_coda.R             |  113 +++++---
 BVAR-1.0.0/BVAR/R/81_parallel.R         |only
 BVAR-1.0.0/BVAR/R/85_transform.R        |only
 BVAR-1.0.0/BVAR/R/90_print.R            |   24 -
 BVAR-1.0.0/BVAR/R/91_plot.R             |  134 +++++----
 BVAR-1.0.0/BVAR/R/92_coef.R             |   92 +++---
 BVAR-1.0.0/BVAR/R/93_density.R          |   62 ++--
 BVAR-1.0.0/BVAR/R/94_logLik.R           |   23 -
 BVAR-1.0.0/BVAR/R/95_fitted.R           |   97 +++----
 BVAR-1.0.0/BVAR/R/96_summary.R          |   45 +--
 BVAR-1.0.0/BVAR/R/97_companion.R        |   90 ++++--
 BVAR-1.0.0/BVAR/R/BVAR-package.R        |   22 +
 BVAR-1.0.0/BVAR/R/data.R                |   49 ++-
 BVAR-1.0.0/BVAR/R/deprecated.R          |  164 ------------
 BVAR-1.0.0/BVAR/R/zzz.R                 |only
 BVAR-1.0.0/BVAR/build                   |only
 BVAR-1.0.0/BVAR/data/fred_md.rda        |only
 BVAR-1.0.0/BVAR/data/fred_qd.rda        |binary
 BVAR-1.0.0/BVAR/inst/CITATION           |   36 +-
 BVAR-1.0.0/BVAR/inst/doc                |only
 BVAR-1.0.0/BVAR/inst/fred_trans.csv     |only
 BVAR-1.0.0/BVAR/inst/tinytest           |only
 BVAR-1.0.0/BVAR/man/BVAR-package.Rd     |   20 +
 BVAR-1.0.0/BVAR/man/bv_dummy.Rd         |   46 ++-
 BVAR-1.0.0/BVAR/man/bv_fcast.Rd         |   54 ++-
 BVAR-1.0.0/BVAR/man/bv_irf.Rd           |   54 +--
 BVAR-1.0.0/BVAR/man/bv_metropolis.Rd    |   56 ++--
 BVAR-1.0.0/BVAR/man/bv_minnesota.Rd     |   93 +++---
 BVAR-1.0.0/BVAR/man/bv_priors.Rd        |   48 +--
 BVAR-1.0.0/BVAR/man/bvar.Rd             |  176 +++++++-----
 BVAR-1.0.0/BVAR/man/coda.Rd             |only
 BVAR-1.0.0/BVAR/man/coef.bvar.Rd        |   52 +--
 BVAR-1.0.0/BVAR/man/companion.Rd        |only
 BVAR-1.0.0/BVAR/man/density.bvar.Rd     |   67 ++--
 BVAR-1.0.0/BVAR/man/fitted.bvar.Rd      |   55 ++--
 BVAR-1.0.0/BVAR/man/fred_qd.Rd          |   52 ++-
 BVAR-1.0.0/BVAR/man/fred_transform.Rd   |only
 BVAR-1.0.0/BVAR/man/irf.bvar.Rd         |   75 ++---
 BVAR-1.0.0/BVAR/man/par_bvar.Rd         |only
 BVAR-1.0.0/BVAR/man/plot.bvar.Rd        |   73 ++---
 BVAR-1.0.0/BVAR/man/plot.bvar_fcast.Rd  |   86 +++---
 BVAR-1.0.0/BVAR/man/plot.bvar_irf.Rd    |   77 +++--
 BVAR-1.0.0/BVAR/man/predict.bvar.Rd     |   73 ++---
 BVAR-1.0.0/BVAR/man/summary.bvar.Rd     |   29 +-
 BVAR-1.0.0/BVAR/tests                   |only
 BVAR-1.0.0/BVAR/vignettes               |only
 84 files changed, 2798 insertions(+), 2231 deletions(-)

More information about BVAR at CRAN
Permanent link

New package bayesPop with initial version 8.1-3
Package: bayesPop
Type: Package
Title: Probabilistic Population Projection
Version: 8.1-3
Date: 2020-05-05
Author: Hana Sevcikova, Adrian Raftery, Thomas Buettner
Maintainer: Hana Sevcikova <hanas@uw.edu>
Depends: R (>= 2.14.2), bayesTFR (>= 6.4-0), bayesLife (>= 4.1-0), MortCast
Suggests: wpp2017, wpp2015, wpp2010
Imports: parallel, abind, data.table, wpp2019, wpp2012, graphics, grDevices, stats, utils, rworldmap, fields, googleVis, reshape2, plyr
Description: Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy.
License: GPL-3 | file LICENSE
LazyData: true
URL: https://bayespop.csss.washington.edu
NeedsCompilation: yes
Packaged: 2020-05-05 18:02:21 UTC; hana
Repository: CRAN
Date/Publication: 2020-05-05 22:50:03 UTC

More information about bayesPop at CRAN
Permanent link

Package coxmeg updated to version 1.0.11 with previous version 1.0.10 dated 2020-03-20

Title: Cox Mixed-Effects Models for Genome-Wide Association Studies
Description: Fast algorithms for fitting a Cox mixed-effects model for e.g., genome-wide association studies. See Liang He and Alexander Kulminski (2019) <doi:10.1101/729285>.
Author: Liang He
Maintainer: Liang He <liang.he@duke.edu>

Diff between coxmeg versions 1.0.10 dated 2020-03-20 and 1.0.11 dated 2020-05-05

 DESCRIPTION                  |   12 +-
 MD5                          |   18 +--
 R/coxmeg.R                   |   17 ++-
 R/coxmeg_m.R                 |   16 ++-
 R/coxmeg_plink.R             |   16 ++-
 R/fit_ppl.R                  |   18 ++-
 build/partial.rdb            |binary
 inst/doc/COXMEG_example.Rmd  |    2 
 inst/doc/COXMEG_example.html |  208 +++++++++++++++++++++----------------------
 vignettes/COXMEG_example.Rmd |    2 
 10 files changed, 164 insertions(+), 145 deletions(-)

More information about coxmeg at CRAN
Permanent link

Package mizer updated to version 2.0.1 with previous version 2.0.0 dated 2020-04-04

Title: Multi-Species sIZE Spectrum Modelling in R
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] (<https://orcid.org/0000-0003-4092-8228>), Finlay Scott [aut, cph], Julia Blanchard [aut, cph] (<https://orcid.org/0000-0003-0532-4824>), Ken Andersen [aut, cph] (<https://orcid.org/0000-0002-8478-3430>), Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

Diff between mizer versions 2.0.0 dated 2020-04-04 and 2.0.1 dated 2020-05-05

 DESCRIPTION                            |    6 +-
 MD5                                    |   67 +++++++++++++++++----------------
 NAMESPACE                              |    2 
 NEWS.md                                |   28 ++++++++++++-
 R/MizerParams-class.R                  |    2 
 R/extension.R                          |   29 ++++++++++++++
 R/newMultispeciesParams.R              |    8 +--
 R/project_methods.R                    |    8 +--
 R/setFishing.R                         |    8 +++
 R/setInitialValues.R                   |   16 ++++++-
 R/setInteraction.R                     |   14 +++---
 R/setPredKernel.R                      |    2 
 R/setResource.R                        |   36 ++++++++---------
 R/species_params.R                     |   16 ++++---
 R/summary_methods.R                    |    8 ++-
 R/upgrade.R                            |   11 ++++-
 R/wrapper_functions.R                  |    2 
 data/NS_params.RData                   |binary
 man/emptyParams.Rd                     |    2 
 man/getEncounter.Rd                    |    2 
 man/mizerEncounter.Rd                  |    2 
 man/newMultispeciesParams.Rd           |   18 ++++----
 man/setInitialValues.Rd                |    3 -
 man/setInteraction.Rd                  |    2 
 man/setParams.Rd                       |   12 ++---
 man/setRateFunction.Rd                 |   15 +++++++
 man/setResource.Rd                     |   14 +++---
 tests/testthat/Rplots.pdf              |binary
 tests/testthat/test-MizerParams.R      |   26 ------------
 tests/testthat/test-extension.R        |   14 ++++++
 tests/testthat/test-setFishing.R       |only
 tests/testthat/test-setInitialValues.R |   18 ++++++++
 tests/testthat/test-setParams.R        |   23 -----------
 tests/testthat/test-setResource.R      |only
 tests/testthat/test-species_params.R   |only
 tests/testthat/test-summary_methods.R  |   22 ++++++++++
 36 files changed, 273 insertions(+), 163 deletions(-)

More information about mizer at CRAN
Permanent link

Package CASMAP updated to version 0.6.1 with previous version 0.6.0 dated 2018-07-18

Title: Detection of Statistically Significant Combinations of SNPs in Association Mapping
Description: A significant pattern mining-based toolbox for region-based genome-wide association studies and higher-order epistasis analyses, implementing the methods described in Llinares-López et al. (2017) <doi:10.1093/bioinformatics/btx071>.
Author: Felipe Llinares-López [aut, cph], Laetitia Papaxanthos [aut, cph], Damian Roqueiro [aut, cph], Matthew Baker [ctr], Mikołaj Rybiński [ctr], Uwe Schmitt [ctr], Dean Bodenham [aut, cre, cph], Karsten Borgwardt [aut, fnd, cph]
Maintainer: Dean Bodenham <deanbodenhambsse@gmail.com>

Diff between CASMAP versions 0.6.0 dated 2018-07-18 and 0.6.1 dated 2020-05-05

 DESCRIPTION                                  |    6 
 MD5                                          |   14 -
 build/vignette.rds                           |binary
 inst/doc/intro.html                          |  167 ++++++++++---------
 inst/include/FilterIntervals.h               |  234 +++++++++++++--------------
 inst/include/SignificantIntervalSearchFais.h |    4 
 inst/include/chi2.h                          |   66 +++----
 inst/include/gamma.h                         |   26 +--
 8 files changed, 270 insertions(+), 247 deletions(-)

More information about CASMAP at CRAN
Permanent link

Package shorts updated to version 1.0.0 with previous version 0.0.1 dated 2020-04-23

Title: Short Sprints
Description: Create short sprint (<6sec) profiles using the split times or the radar gun data. Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU), and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized in this package is based on the works of Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, and Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>.
Author: Mladen Jovanovic [aut, cre]
Maintainer: Mladen Jovanovic <coach.mladen.jovanovic@gmail.com>

Diff between shorts versions 0.0.1 dated 2020-04-23 and 1.0.0 dated 2020-05-05

 shorts-0.0.1/shorts/R/model_using_instant_velocity.R          |only
 shorts-0.0.1/shorts/R/model_using_split_times.R               |only
 shorts-0.0.1/shorts/man/figures/shorts-logo.png               |only
 shorts-0.0.1/shorts/man/mixed_model_using_instant_velocity.Rd |only
 shorts-0.0.1/shorts/man/mixed_model_using_split_times.Rd      |only
 shorts-0.0.1/shorts/man/model_using_instant_velocity.Rd       |only
 shorts-0.0.1/shorts/man/model_using_split_times.Rd            |only
 shorts-1.0.0/shorts/DESCRIPTION                               |   14 
 shorts-1.0.0/shorts/MD5                                       |   65 +
 shorts-1.0.0/shorts/NAMESPACE                                 |   18 
 shorts-1.0.0/shorts/NEWS.md                                   |   21 
 shorts-1.0.0/shorts/R/find_functions.R                        |only
 shorts-1.0.0/shorts/R/format_splits.R                         |   17 
 shorts-1.0.0/shorts/R/mixed_model_using_splits.R              |only
 shorts-1.0.0/shorts/R/model_using_radar.R                     |only
 shorts-1.0.0/shorts/R/model_using_splits.R                    |only
 shorts-1.0.0/shorts/R/predict_functions.R                     |   78 +-
 shorts-1.0.0/shorts/README.md                                 |  387 +++++++---
 shorts-1.0.0/shorts/build                                     |only
 shorts-1.0.0/shorts/data/radar_gun_data.rda                   |binary
 shorts-1.0.0/shorts/data/split_times.rda                      |binary
 shorts-1.0.0/shorts/inst/CITATION                             |    4 
 shorts-1.0.0/shorts/inst/doc                                  |only
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-10-1.png |only
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-11-1.png |binary
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-12-1.png |only
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-14-1.png |only
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-4-1.png  |binary
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-5-1.png  |binary
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-7-1.png  |binary
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-8-1.png  |only
 shorts-1.0.0/shorts/man/figures/README-unnamed-chunk-9-1.png  |binary
 shorts-1.0.0/shorts/man/figures/logo.png                      |only
 shorts-1.0.0/shorts/man/find_functions.Rd                     |only
 shorts-1.0.0/shorts/man/format_splits.Rd                      |    3 
 shorts-1.0.0/shorts/man/mixed_model_split_times.Rd            |only
 shorts-1.0.0/shorts/man/mixed_model_using_radar.Rd            |only
 shorts-1.0.0/shorts/man/model_split_times.Rd                  |only
 shorts-1.0.0/shorts/man/model_using_radar.Rd                  |only
 shorts-1.0.0/shorts/man/predict_kinematics.Rd                 |   64 +
 shorts-1.0.0/shorts/man/radar_gun_data.Rd                     |    6 
 shorts-1.0.0/shorts/man/split_times.Rd                        |    6 
 shorts-1.0.0/shorts/vignettes                                 |only
 43 files changed, 516 insertions(+), 167 deletions(-)

More information about shorts at CRAN
Permanent link

New package shinyrecipes with initial version 0.1.0
Package: shinyrecipes
Type: Package
Date: 2020-04-27
Title: Gadget to Use the Data Preprocessing 'recipes' Package Interactively
Version: 0.1.0
Author: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Maintainer: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Description: This gadget allows you to use the 'recipes' package belonging to 'tidymodels' to carry out the data preprocessing tasks in an interactive way. Build your 'recipe' by dragging the variables, visually analyze your data to decide which steps to use, add those steps and preprocess your data.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/AlbertoAlmuinha/shinyrecipes
BugReports: https://github.com/AlbertoAlmuinha/shinyrecipes/issues
Imports: dplyr, purrr, stringr, shiny, miniUI, shinyWidgets, shinyglide, sortable, rstudioapi, DT, tidyr, esquisse
Depends: recipes
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-05-01 18:20:24 UTC; albgonzal
Repository: CRAN
Date/Publication: 2020-05-05 17:30:02 UTC

More information about shinyrecipes at CRAN
Permanent link

Package loggit updated to version 2.0.0 with previous version 1.2.0 dated 2020-03-16

Title: Modern Logging for the R Ecosystem
Description: An effortless 'ndjson' (newline-delimited 'JSON') logger, with two primary log-writing interfaces. It provides a set of wrappings for base R's message(), warning(), and stop() functions that maintain identical functionality, but also log the handler message to an 'ndjson' log file. 'loggit' also exports its internal 'loggit()' function for powerful and configurable custom logging. No change in existing code is necessary to use this package, and should only require additions to fully leverage the power of the logging system. 'loggit' also provides a log reader for reading an 'ndjson' log file into a data frame, log rotation, and live echo of the 'ndjson' log messages to terminal 'stdout' for log capture by external systems (like containers). 'loggit' is ideal for Shiny apps, data pipelines, modeling work flows, and more. Please see the vignettes for detailed example use cases.
Author: Ryan Price [cre, aut]
Maintainer: Ryan Price <ryapric@gmail.com>

Diff between loggit versions 1.2.0 dated 2020-03-16 and 2.0.0 dated 2020-05-05

 loggit-1.2.0/loggit/man/agree_to_upcoming_loggit_updates.Rd |only
 loggit-1.2.0/loggit/man/getLogFile.Rd                       |only
 loggit-1.2.0/loggit/man/getTimestampFormat.Rd               |only
 loggit-1.2.0/loggit/man/get_logs.Rd                         |only
 loggit-1.2.0/loggit/man/setLogFile.Rd                       |only
 loggit-1.2.0/loggit/man/setTimestampFormat.Rd               |only
 loggit-2.0.0/loggit/DESCRIPTION                             |   34 +--
 loggit-2.0.0/loggit/LICENSE                                 |    2 
 loggit-2.0.0/loggit/MD5                                     |   53 +++-
 loggit-2.0.0/loggit/NAMESPACE                               |   14 -
 loggit-2.0.0/loggit/NEWS.md                                 |   55 +++++
 loggit-2.0.0/loggit/R/configurations.R                      |   91 +++-----
 loggit-2.0.0/loggit/R/handlers.R                            |   47 +---
 loggit-2.0.0/loggit/R/json.R                                |only
 loggit-2.0.0/loggit/R/loggit.R                              |  128 +++---------
 loggit-2.0.0/loggit/R/utils.R                               |only
 loggit-2.0.0/loggit/R/zzz.R                                 |   16 -
 loggit-2.0.0/loggit/build                                   |only
 loggit-2.0.0/loggit/inst                                    |only
 loggit-2.0.0/loggit/man/get_logfile.Rd                      |only
 loggit-2.0.0/loggit/man/get_timestamp_format.Rd             |only
 loggit-2.0.0/loggit/man/handlers.Rd                         |   39 ---
 loggit-2.0.0/loggit/man/loggit.Rd                           |   38 +--
 loggit-2.0.0/loggit/man/read_logs.Rd                        |only
 loggit-2.0.0/loggit/man/read_ndjson.Rd                      |only
 loggit-2.0.0/loggit/man/rotate_logs.Rd                      |only
 loggit-2.0.0/loggit/man/set_logfile.Rd                      |only
 loggit-2.0.0/loggit/man/set_timestamp_format.Rd             |only
 loggit-2.0.0/loggit/man/write_ndjson.Rd                     |only
 loggit-2.0.0/loggit/tests/testthat/helpers.R                |only
 loggit-2.0.0/loggit/tests/testthat/test_handlers.R          |only
 loggit-2.0.0/loggit/tests/testthat/test_json.R              |only
 loggit-2.0.0/loggit/tests/testthat/test_loggit.R            |   89 ++------
 loggit-2.0.0/loggit/tests/testthat/test_utils.R             |only
 loggit-2.0.0/loggit/vignettes                               |only
 35 files changed, 267 insertions(+), 339 deletions(-)

More information about loggit at CRAN
Permanent link

New package iNZightMR with initial version 2.2.5
Package: iNZightMR
Type: Package
Title: Tools for Exploring Multiple Response Data
Version: 2.2.5
Authors@R: c( person("Tom", "Elliott", role = c("aut", "cre"), email = "tom.elliott@auckland.ac.nz", comment = c(ORCID = "0000-0002-7815-6318")), person("Junjie", "Zeng", role = c("aut"), comment = "Original author"), person("Simon", "Potter", role = c("aut")) )
BugReports: https://github.com/iNZightVIT/iNZightMR/issues
Contact: inzight_support@stat.auckland.ac.nz
URL: https://www.stat.auckland.ac.nz/~wild/iNZight/
Depends: R (>= 2.13)
Imports: grid, grDevices, graphics, stats, utils
Suggests: iNZightPlots, testthat, covr
Additional_repositories: https://r.docker.stat.auckland.ac.nz
LazyData: true
Description: Interaction and analysis of multiple response data, along with other tools for analysing these types of data including missing value analysis and calculation of standard errors for a range of covariance matrix results (proportions, multinomial, independent samples, and multiple response).
License: GPL-3
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-30 01:23:23 UTC; emperor
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Junjie Zeng [aut] (Original author), Simon Potter [aut]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2020-05-05 16:50:03 UTC

More information about iNZightMR at CRAN
Permanent link

Package groupedstats updated to version 1.0.0 with previous version 0.2.2 dated 2020-04-05

Title: Grouped Statistical Analyses in a Tidy Way
Description: Collection of functions to run statistical tests across all combinations of multiple grouping variables.
Author: Indrajeet Patil [aut, cre, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between groupedstats versions 0.2.2 dated 2020-04-05 and 1.0.0 dated 2020-05-05

 DESCRIPTION                               |   10 
 MD5                                       |   24 -
 NAMESPACE                                 |    8 
 NEWS.md                                   |    7 
 R/grouped_aov.R                           |   23 -
 R/lm_effsize_ci.R                         |  118 ++----
 README.md                                 |  177 ++++-----
 man/figures/README-grouped_summary3-1.png |binary
 man/grouped_aov.Rd                        |    4 
 man/lm_effsize_ci.Rd                      |   23 -
 man/lm_effsize_standardizer.Rd            |   15 
 tests/testthat/test-grouped_summary.R     |    2 
 tests/testthat/test-lm_effsize_ci.R       |  538 ------------------------------
 13 files changed, 179 insertions(+), 770 deletions(-)

More information about groupedstats at CRAN
Permanent link

Package googledrive updated to version 1.0.1 with previous version 1.0.0 dated 2019-08-19

Title: An Interface to Google Drive
Description: Manage Google Drive files from R.
Author: Lucy D'Agostino McGowan [aut], Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between googledrive versions 1.0.0 dated 2019-08-19 and 1.0.1 dated 2020-05-05

 DESCRIPTION                            |   13 ++---
 LICENSE                                |    4 -
 MD5                                    |   80 ++++++++++++++++-----------------
 NAMESPACE                              |    1 
 NEWS.md                                |   16 ++++++
 R/dribble.R                            |    5 +-
 R/drive_auth.R                         |    1 
 R/drive_find.R                         |    5 ++
 R/drive_get.R                          |    9 ++-
 R/drive_reveal_path.R                  |    2 
 R/drive_share.R                        |   24 +++++++++
 R/drive_update.R                       |    2 
 R/drive_upload.R                       |    2 
 R/request_make.R                       |    6 +-
 R/sysdata.rda                          |binary
 R/utils.R                              |    5 ++
 build/vignette.rds                     |binary
 inst/WORDLIST                          |only
 inst/doc/googledrive.html              |   11 +---
 man/as_dribble.Rd                      |    6 +-
 man/drive_auth.Rd                      |   15 ++++--
 man/drive_auth_configure.Rd            |    5 +-
 man/drive_cp.Rd                        |    3 -
 man/drive_create.Rd                    |   10 +++-
 man/drive_deauth.Rd                    |    5 +-
 man/drive_download.Rd                  |    9 ++-
 man/drive_find.Rd                      |   15 ++++--
 man/drive_get.Rd                       |   18 +++++--
 man/drive_has_token.Rd                 |    7 +-
 man/drive_mkdir.Rd                     |   10 +++-
 man/drive_mv.Rd                        |    3 -
 man/drive_put.Rd                       |   13 ++---
 man/drive_reveal.Rd                    |    6 +-
 man/drive_share.Rd                     |   26 +++++++++-
 man/drive_token.Rd                     |    7 +-
 man/drive_upload.Rd                    |   11 +++-
 man/googledrive-package.Rd             |    4 -
 man/request_generate.Rd                |   14 ++++-
 man/request_make.Rd                    |   15 +++---
 tests/spelling.R                       |only
 tests/testthat/test-drive_find.R       |    8 +--
 tests/testthat/test-generate_request.R |    5 +-
 42 files changed, 263 insertions(+), 138 deletions(-)

More information about googledrive at CRAN
Permanent link

Package dispRity updated to version 1.4.0 with previous version 1.3.5 dated 2020-02-03

Title: Measuring Disparity
Description: A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics (Guillerme (2018) <doi:10.1111/2041-210X.13022>). The package also provides functions for looking at disparity in a serial way (e.g. disparity through time - Guillerme and Cooper (2018) <doi:10.1111/pala.12364>) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph], Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between dispRity versions 1.3.5 dated 2020-02-03 and 1.4.0 dated 2020-05-05

 dispRity-1.3.5/dispRity/src/char.diff.c              |only
 dispRity-1.3.5/dispRity/src/char.diff.hamming.c      |only
 dispRity-1.4.0/dispRity/DESCRIPTION                  |   14 
 dispRity-1.4.0/dispRity/MD5                          |  149 +++---
 dispRity-1.4.0/dispRity/NAMESPACE                    |    5 
 dispRity-1.4.0/dispRity/NEWS.md                      |   19 
 dispRity-1.4.0/dispRity/R/adonis.dispRity.R          |   13 
 dispRity-1.4.0/dispRity/R/adonis.dispRity_fun.R      |    2 
 dispRity-1.4.0/dispRity/R/boot.matrix.R              |   86 ++-
 dispRity-1.4.0/dispRity/R/boot.matrix_fun.R          |   16 
 dispRity-1.4.0/dispRity/R/char.diff.R                |  431 ++++++++++---------
 dispRity-1.4.0/dispRity/R/char.diff_fun.R            |  100 ++--
 dispRity-1.4.0/dispRity/R/chrono.subsets.R           |   94 ++--
 dispRity-1.4.0/dispRity/R/chrono.subsets_fun.R       |  249 ++++++----
 dispRity-1.4.0/dispRity/R/custom.subsets.R           |   32 -
 dispRity-1.4.0/dispRity/R/dispRity.R                 |   73 ++-
 dispRity-1.4.0/dispRity/R/dispRity.metric.R          |  125 +++++
 dispRity-1.4.0/dispRity/R/dispRity.utilities.R       |   40 -
 dispRity-1.4.0/dispRity/R/dispRity_fun.R             |   90 +++
 dispRity-1.4.0/dispRity/R/get.bin.ages.R             |    6 
 dispRity-1.4.0/dispRity/R/make.demo.data.R           |   69 ++-
 dispRity-1.4.0/dispRity/R/make.metric.R              |   29 -
 dispRity-1.4.0/dispRity/R/model.test_fun.R           |    4 
 dispRity-1.4.0/dispRity/R/null.test_fun.R            |   11 
 dispRity-1.4.0/dispRity/R/plot.char.diff.R           |only
 dispRity-1.4.0/dispRity/R/plot.char.diff_fun.R       |only
 dispRity-1.4.0/dispRity/R/plot.dispRity.R            |   22 
 dispRity-1.4.0/dispRity/R/plot.dispRity_fun.R        |   17 
 dispRity-1.4.0/dispRity/R/print.dispRity.R           |   43 +
 dispRity-1.4.0/dispRity/R/sanitizing.R               |   54 ++
 dispRity-1.4.0/dispRity/R/slice.tree.R               |    4 
 dispRity-1.4.0/dispRity/R/slice.tree_fun.R           |   83 +--
 dispRity-1.4.0/dispRity/R/summary.dispRity.R         |    8 
 dispRity-1.4.0/dispRity/R/summary.dispRity_fun.R     |   16 
 dispRity-1.4.0/dispRity/R/test.dispRity_fun.R        |    8 
 dispRity-1.4.0/dispRity/R/tree.age.R                 |    2 
 dispRity-1.4.0/dispRity/R/tree.age_fun.R             |    4 
 dispRity-1.4.0/dispRity/R/zzz.R                      |    2 
 dispRity-1.4.0/dispRity/data/BeckLee_ages.rda        |binary
 dispRity-1.4.0/dispRity/data/BeckLee_disparity.rda   |binary
 dispRity-1.4.0/dispRity/data/BeckLee_mat50.rda       |binary
 dispRity-1.4.0/dispRity/data/BeckLee_mat99.rda       |binary
 dispRity-1.4.0/dispRity/data/BeckLee_tree.rda        |binary
 dispRity-1.4.0/dispRity/data/disparity.rda           |binary
 dispRity-1.4.0/dispRity/inst/References.bib          |   17 
 dispRity-1.4.0/dispRity/man/BeckLee.Rd               |    4 
 dispRity-1.4.0/dispRity/man/BeckLee_disparity.Rd     |    4 
 dispRity-1.4.0/dispRity/man/Claddis.ordination.Rd    |    5 
 dispRity-1.4.0/dispRity/man/adonis.dispRity.Rd       |   14 
 dispRity-1.4.0/dispRity/man/boot.matrix.Rd           |   17 
 dispRity-1.4.0/dispRity/man/char.diff.Rd             |   94 +++-
 dispRity-1.4.0/dispRity/man/check.morpho.Rd          |   11 
 dispRity-1.4.0/dispRity/man/chrono.subsets.Rd        |    6 
 dispRity-1.4.0/dispRity/man/custom.subsets.Rd        |    2 
 dispRity-1.4.0/dispRity/man/dispRity.metric.Rd       |   21 
 dispRity-1.4.0/dispRity/man/dispRity.through.time.Rd |    3 
 dispRity-1.4.0/dispRity/man/disparity.Rd             |    4 
 dispRity-1.4.0/dispRity/man/dtt.dispRity.Rd          |   11 
 dispRity-1.4.0/dispRity/man/extinction.subsets.Rd    |    3 
 dispRity-1.4.0/dispRity/man/extract.dispRity.Rd      |    9 
 dispRity-1.4.0/dispRity/man/make.metric.Rd           |    4 
 dispRity-1.4.0/dispRity/man/matrix.dispRity.Rd       |   10 
 dispRity-1.4.0/dispRity/man/model.test.Rd            |   12 
 dispRity-1.4.0/dispRity/man/model.test.sim.Rd        |   16 
 dispRity-1.4.0/dispRity/man/model.test.wrapper.Rd    |   23 -
 dispRity-1.4.0/dispRity/man/null.test.Rd             |   14 
 dispRity-1.4.0/dispRity/man/pair.plot.Rd             |   13 
 dispRity-1.4.0/dispRity/man/plot.char.diff.Rd        |   21 
 dispRity-1.4.0/dispRity/man/plot.dispRity.Rd         |   29 +
 dispRity-1.4.0/dispRity/man/reduce.matrix.Rd         |    3 
 dispRity-1.4.0/dispRity/man/rescale.dispRity.Rd      |    3 
 dispRity-1.4.0/dispRity/man/sim.morpho.Rd            |   13 
 dispRity-1.4.0/dispRity/man/slice.tree.Rd            |    2 
 dispRity-1.4.0/dispRity/man/space.maker.Rd           |   10 
 dispRity-1.4.0/dispRity/man/summary.dispRity.Rd      |   12 
 dispRity-1.4.0/dispRity/man/test.dispRity.Rd         |   14 
 dispRity-1.4.0/dispRity/src/bitwise.dist.c           |only
 dispRity-1.4.0/dispRity/src/dispRity.h               |    5 
 78 files changed, 1575 insertions(+), 774 deletions(-)

More information about dispRity at CRAN
Permanent link

New package climate with initial version 0.9.5
Package: climate
Title: Interface to Download Meteorological (and Hydrological) Datasets
Version: 0.9.5
Authors@R: c(person(given = "Bartosz", family = "Czernecki", role = c("aut", "cre"), email = "nwp@amu.edu.pl", comment = c(ORCID = "0000-0001-6496-1386")), person(given = "Arkadiusz", family = "Głogowski", role = "aut", email = "arkadiusz.glogowski@upwr.edu.pl", comment = c(ORCID = "0000-0002-7587-8892")), person(given = "Jakub", family = "Nowosad", role = "aut", email = "nowosad.jakub@gmail.com", comment = c(ORCID = "0000-0002-1057-3721")), person("IMGW-PIB", role = "ctb", comment = "source of the data"))
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair>), Polish Institute of Meterology and Water Management - National Research Institute (<https://dane.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for adding geographical coordinates for each observation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.1)
Imports: XML, httr, curl
Suggests: testthat, knitr, rmarkdown, dplyr, tidyr, maps
URL: https://github.com/bczernecki/climate
BugReports: https://github.com/bczernecki/climate/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-05 16:25:44 UTC; bartosz
Author: Bartosz Czernecki [aut, cre] (<https://orcid.org/0000-0001-6496-1386>), Arkadiusz Głogowski [aut] (<https://orcid.org/0000-0002-7587-8892>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), IMGW-PIB [ctb] (source of the data)
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>
Repository: CRAN
Date/Publication: 2020-05-05 17:00:02 UTC

More information about climate at CRAN
Permanent link

New package adventr with initial version 0.1.8
Package: adventr
Type: Package
Title: Interactive R Tutorials to Accompany Field (2016), "An Adventure in Statistics"
Version: 0.1.8
Authors@R: person("Andy", "Field", email = "andyf@sussex.ac.uk", role = c("aut", "cre"))
Maintainer: Andy Field <andyf@sussex.ac.uk>
Description: Interactive 'R' tutorials written using 'learnr' for Field (2016), "An Adventure in Statistics", <ISBN:9781446210451>. Topics include general workflow in 'R' and 'Rstudio', the 'R' environment and 'tidyverse', summarizing data, model fitting, central tendency, visualising data using 'ggplot2', inferential statistics and robust estimation, hypothesis testing, the general linear model, comparing means, repeated measures designs, factorial designs, multilevel models, growth models, and generalized linear models (logistic regression).
License: GPL-3
Depends: R (>= 3.6.0), learnr
LazyData: true
Imports: BayesFactor, boot, dplyr, car, effsize, effects, forcats, GGally, ggplot2, Hmisc, lm.beta, nlme, readr, robust, sandwich, sjstats, tidyr, WRS2
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-01 09:28:52 UTC; andyfield
Author: Andy Field [aut, cre]
Repository: CRAN
Date/Publication: 2020-05-05 16:50:06 UTC

More information about adventr at CRAN
Permanent link

Package tabr updated to version 0.4.3 with previous version 0.4.2 dated 2020-03-17

Title: Music Notation Syntax, Manipulation, Analysis and Transcription in R
Description: Provides a music notation syntax and a collection of music programming functions for generating, manipulating, organizing and analyzing musical information in R. The music notation framework facilitates creating and analyzing music data in notation form. Music data can be viewed, manipulated and analyzed while in different forms of representation based around different data structures: strings and data frames. Each representation offers advantages over the other for different use cases. Music syntax can be entered directly and represented in character strings to minimize the formatting overhead of data entry by using simple data structures, for example when wanting to quickly enter and transcribe short pieces of music to sheet music or tablature. The package contains functions for directly performing various mathematical, logical and organizational operations and musical transformations on special object classes that facilitate working with music data and notation. The same music data can also be organized in tidy data frames, allowing for a more familiar and powerful approach to the analysis of large amounts of structured music data. Functions are available for mapping seamlessly between these data structures and their representations of musical information. The package also provides API wrapper functions for transcribing musical representations in R into guitar tablature ("tabs") and basic sheet music using the 'LilyPond' backend (<http://lilypond.org>). 'LilyPond' is open source music engraving software for generating high quality sheet music based on markup syntax. The package generates 'LilyPond' files from R code and can pass them to 'LilyPond' to be rendered into sheet music pdf files. The package offers nominal MIDI file output support in conjunction with rendering sheet music. The package can read MIDI files and attempts to structure the MIDI data to integrate as best as possible with the data structures and functionality found throughout the package.
Author: Matthew Leonawicz [aut, cre] (<https://orcid.org/0000-0001-9452-2771>)
Maintainer: Matthew Leonawicz <matt_leonawicz@esource.com>

Diff between tabr versions 0.4.2 dated 2020-03-17 and 0.4.3 dated 2020-05-05

 DESCRIPTION                    |    6 +++---
 MD5                            |   17 +++++++++--------
 NAMESPACE                      |    2 ++
 NEWS.md                        |    5 +++++
 R/class_methods.R              |    4 ++++
 R/freq.R                       |   29 ++++++++++++++++++++++++++++-
 build/vignette.rds             |binary
 inst/doc/tabr-prog-chords.html |   32 ++++++++++++++++----------------
 man/ratio_to_cents.Rd          |only
 tests/testthat/test-freq.R     |   16 ++++++++++++----
 10 files changed, 79 insertions(+), 32 deletions(-)

More information about tabr at CRAN
Permanent link

New package otp with initial version 0.1.0
Package: otp
Title: One Time Password Generation and Verification
Version: 0.1.0
Authors@R: person(given = "Randy", family = "Lai", role = c("aut", "cre", "cph"), email = "randy.cs.lai@gmail.com")
Description: Generating and validating One-time Password based on Hash-based Message Authentication Code (HOTP) and Time Based One-time Password (TOTP) according to RFC 4226 <https://tools.ietf.org/html/rfc4226> and RFC 6238 <https://tools.ietf.org/html/rfc6238>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/randy3k/otp
BugReports: https://github.com/randy3k/otp/issues
Imports: R6, base64url, openssl
RoxygenNote: 7.1.0.9000
Suggests: testthat (>= 2.1.0), covr
NeedsCompilation: no
Packaged: 2020-05-01 05:02:21 UTC; Randy
Author: Randy Lai [aut, cre, cph]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-05 15:30:09 UTC

More information about otp at CRAN
Permanent link

New package mfe with initial version 0.1.5
Package: mfe
Type: Package
Title: Meta-Feature Extractor
Version: 0.1.5
Date: 2020-05-04
Authors@R: c(person("Adriano", "Rivolli", email="rivolli@utfpr.edu.br", role=c("aut", "cre")), person("Luis", "P. F. Garcia", email="luis.garcia@unb.br", role="aut"), person("Andre", "C. P. L. F. de Carvalho", email="andre@icmc.usp.br", role="ths"))
Description: Extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning. The meta-features, also called characterization measures, are able to characterize the complexity of datasets and to provide estimates of algorithm performance. The package contains not only the standard characterization measures, but also more recent characterization measures. By making available a large set of meta-feature extraction functions, tasks like comprehensive data characterization, deep data exploration and large number of Meta-Learning based data analysis can be performed. These concepts are described in the paper: Rivolli A., Garcia L., Soares c., Vanschoren J. and Carvalho A. (2018) <arXiv:1808.10406>.
URL: https://github.com/rivolli/mfe
Depends: R (>= 3.3),
Imports: cluster, clusterCrit, ECoL(>= 0.3), e1071, infotheo, MASS, rpart, rrcov, stats, utils
Suggests: knitr, rmarkdown, testthat
License: MIT + file LICENSE
LazyData: true
BugReports: https://github.com/rivolli/mfe/issues
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-05-05 14:27:43 UTC; rivolli
Author: Adriano Rivolli [aut, cre], Luis P. F. Garcia [aut], Andre C. P. L. F. de Carvalho [ths]
Maintainer: Adriano Rivolli <rivolli@utfpr.edu.br>
Repository: CRAN
Date/Publication: 2020-05-05 15:20:02 UTC

More information about mfe at CRAN
Permanent link

Package statsr updated to version 0.2.0 with previous version 0.1-0 dated 2018-05-08

Title: Companion Software for the Coursera Statistics with R Specialization
Description: Data and functions to support Bayesian and frequentist inference and decision making for the Coursera Specialization "Statistics with R". See <https://github.com/StatsWithR/statsr> for more information.
Author: Colin Rundel [aut], Mine Cetinkaya-Rundel [aut], Merlise Clyde [aut, cre], David Banks [aut]
Maintainer: Merlise Clyde <clyde@duke.edu>

Diff between statsr versions 0.1-0 dated 2018-05-08 and 0.2.0 dated 2020-05-05

 statsr-0.1-0/statsr/R/BF_app.R                   |only
 statsr-0.1-0/statsr/R/bayes_single_mean_JZS.R    |only
 statsr-0.1-0/statsr/R/bayes_single_mean_sim.R    |only
 statsr-0.1-0/statsr/R/bayes_single_mean_theo.R   |only
 statsr-0.1-0/statsr/R/tapwater.R                 |only
 statsr-0.1-0/statsr/R/zinc.R                     |only
 statsr-0.1-0/statsr/data/tapwater.rda            |only
 statsr-0.1-0/statsr/data/zinc.rda                |only
 statsr-0.1-0/statsr/man/BF_app.Rd                |only
 statsr-0.1-0/statsr/man/figures                  |only
 statsr-0.1-0/statsr/man/tapwater.Rd              |only
 statsr-0.1-0/statsr/man/zinc.Rd                  |only
 statsr-0.2.0/statsr/DESCRIPTION                  |   48 +---
 statsr-0.2.0/statsr/LICENSE                      |only
 statsr-0.2.0/statsr/MD5                          |   96 ++++----
 statsr-0.2.0/statsr/NAMESPACE                    |    2 
 statsr-0.2.0/statsr/NEWS.md                      |    9 
 statsr-0.2.0/statsr/R/ames_sampling_dist.R       |   14 -
 statsr-0.2.0/statsr/R/atheism.R                  |    2 
 statsr-0.2.0/statsr/R/bandit_posterior.R         |   87 ++++----
 statsr-0.2.0/statsr/R/bandit_sim.R               |   35 ---
 statsr-0.2.0/statsr/R/bayes_inference.R          |  248 ++---------------------
 statsr-0.2.0/statsr/R/bayes_single_mean.R        |only
 statsr-0.2.0/statsr/R/bayes_two_mean.R           |  112 ++++++----
 statsr-0.2.0/statsr/R/calc_streak.R              |    2 
 statsr-0.2.0/statsr/R/credible_interval.R        |   15 -
 statsr-0.2.0/statsr/R/globals.R                  |only
 statsr-0.2.0/statsr/R/inference.R                |   27 --
 statsr-0.2.0/statsr/R/plot_ss.R                  |   26 --
 statsr-0.2.0/statsr/R/rep_sample_n.R             |    5 
 statsr-0.2.0/statsr/R/rstudio.R                  |    3 
 statsr-0.2.0/statsr/R/statsr.R                   |   18 -
 statsr-0.2.0/statsr/README.md                    |only
 statsr-0.2.0/statsr/inst/lab.css                 |  121 ++++++-----
 statsr-0.2.0/statsr/man/allow_shiny.Rd           |    5 
 statsr-0.2.0/statsr/man/ames.Rd                  |    6 
 statsr-0.2.0/statsr/man/ames_sampling_dist.Rd    |   11 -
 statsr-0.2.0/statsr/man/arbuthnot.Rd             |    6 
 statsr-0.2.0/statsr/man/atheism.Rd               |    8 
 statsr-0.2.0/statsr/man/bandit_posterior.Rd      |   14 -
 statsr-0.2.0/statsr/man/bandit_sim.Rd            |   36 ---
 statsr-0.2.0/statsr/man/bayes_inference.Rd       |  116 ++--------
 statsr-0.2.0/statsr/man/brfss.Rd                 |    6 
 statsr-0.2.0/statsr/man/calc_streak.Rd           |    4 
 statsr-0.2.0/statsr/man/credible_interval_app.Rd |   14 -
 statsr-0.2.0/statsr/man/evals.Rd                 |    6 
 statsr-0.2.0/statsr/man/inference.Rd             |   59 ++---
 statsr-0.2.0/statsr/man/kobe_basket.Rd           |    6 
 statsr-0.2.0/statsr/man/mlb11.Rd                 |    6 
 statsr-0.2.0/statsr/man/nc.Rd                    |    6 
 statsr-0.2.0/statsr/man/nycflights.Rd            |    6 
 statsr-0.2.0/statsr/man/plot_bandit_posterior.Rd |   11 -
 statsr-0.2.0/statsr/man/plot_ss.Rd               |   11 -
 statsr-0.2.0/statsr/man/present.Rd               |    6 
 statsr-0.2.0/statsr/man/rep_sample_n.Rd          |    8 
 statsr-0.2.0/statsr/man/statsr.Rd                |   19 -
 statsr-0.2.0/statsr/man/wage.Rd                  |    6 
 57 files changed, 405 insertions(+), 841 deletions(-)

More information about statsr at CRAN
Permanent link

Package smartR updated to version 0.62.3 with previous version 0.62.0 dated 2018-11-30

Title: Spatial Management and Assessment of Demersal Resources for Trawl Fisheries
Description: A tool for assessing bio-economic feedback in different management scenarios (D'Andrea et al., 2020 <doi:10.1111/2041-210X.13394>). 'smartR' (Spatial Management and Assessment of demersal Resources for Trawl fisheries) combines information from different tasks gathered within the European Data Collection Framework for the fishery sector. The 'smartR' package implements the SMART model (Russo et al., 2014 <doi:10.1371/journal.pone.0086222>), through the object-oriented programming paradigm, and within this package it is possible to achieve the complete set of analyses required by the SMART approach: from the editing and formatting of the raw data; the construction and maintenance of coherent datasets; the numerical and visual inspection of the generated metadata; to the final simulation of management scenarios and the forecast of their effects. The interaction between the user and the application could take place through invocation of methods via the command line or could be entirely committed to the graphical user interfaces (GUI).
Author: Lorenzo D'Andrea, Tommaso Russo, Antonio Parisi, Stefano Cataudella
Maintainer: Lorenzo D'Andrea <dandrea.lorenz@gmail.com>

Diff between smartR versions 0.62.0 dated 2018-11-30 and 0.62.3 dated 2020-05-05

 smartR-0.62.0/smartR/inst/SMART_Logo.2.jpg    |only
 smartR-0.62.3/smartR/DESCRIPTION              |   23 
 smartR-0.62.3/smartR/MD5                      |   39 
 smartR-0.62.3/smartR/NAMESPACE                |    1 
 smartR-0.62.3/smartR/R/smart_class.R          | 9739 +++++++++++++-------------
 smartR-0.62.3/smartR/R/smart_funct.R          |  225 
 smartR-0.62.3/smartR/R/smart_gui.R            | 2959 +++----
 smartR-0.62.3/smartR/R/smart_plots.R          |  137 
 smartR-0.62.3/smartR/build                    |only
 smartR-0.62.3/smartR/inst/doc                 |only
 smartR-0.62.3/smartR/inst/model/bertGrow.jags |   44 
 smartR-0.62.3/smartR/inst/model/gompGrow.jags |   44 
 smartR-0.62.3/smartR/inst/smartR_Workflow.png |only
 smartR-0.62.3/smartR/man/FishFleet.Rd         |  452 -
 smartR-0.62.3/smartR/man/FisheryBySpecie.Rd   |  192 
 smartR-0.62.3/smartR/man/SampleMap.Rd         |  370 
 smartR-0.62.3/smartR/man/SmartProject.Rd      |  436 -
 smartR-0.62.3/smartR/man/SurveyBySpecie.Rd    |  196 
 smartR-0.62.3/smartR/man/smartR.Rd            |   80 
 smartR-0.62.3/smartR/man/smartRgui.Rd         |   48 
 smartR-0.62.3/smartR/vignettes                |only
 21 files changed, 7497 insertions(+), 7488 deletions(-)

More information about smartR at CRAN
Permanent link

Package Rlinsolve updated to version 0.3.1 with previous version 0.3.0 dated 2018-07-14

Title: Iterative Solvers for (Sparse) Linear System of Equations
Description: Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) <doi:10.1137/1.9780898718003>.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>

Diff between Rlinsolve versions 0.3.0 dated 2018-07-14 and 0.3.1 dated 2020-05-05

 DESCRIPTION             |   17 ++++-----
 MD5                     |   87 ++++++++++++++++++++++++------------------------
 NAMESPACE               |    2 -
 NEWS.md                 |only
 R/aux_FISCH.R           |    2 -
 R/auxiliary.R           |   18 +++++++++
 R/init.R                |   27 +++++++++++++-
 R/lsolve_BICG.R         |    3 +
 R/lsolve_BICGSTAB.R     |    3 +
 R/lsolve_CG.R           |    3 +
 R/lsolve_CGS.R          |    3 +
 R/lsolve_CHEBY.R        |    3 +
 R/lsolve_GMRES.R        |    3 +
 R/lsolve_GS.R           |    7 ++-
 R/lsolve_JACOBI.R       |    3 +
 R/lsolve_QMR.R          |    5 ++
 R/lsolve_SOR.R          |    3 +
 R/lsolve_SSOR.R         |    3 +
 R/package-Rlinsolve.R   |    7 ++-
 build/partial.rdb       |binary
 man/Rlinsolve.Rd        |    5 +-
 man/aux_FISCH.Rd        |    2 -
 man/basic_GS.Rd         |   12 +++++-
 man/basic_JACOBI.Rd     |   13 ++++++-
 man/basic_SOR.Rd        |   13 ++++++-
 man/basic_SSOR.Rd       |   13 ++++++-
 man/krylov_BICG.Rd      |   12 +++++-
 man/krylov_BICGSTAB.Rd  |   12 +++++-
 man/krylov_CG.Rd        |   13 ++++++-
 man/krylov_CGS.Rd       |   13 ++++++-
 man/krylov_CHEBY.Rd     |   13 ++++++-
 man/krylov_GMRES.Rd     |   13 ++++++-
 man/krylov_QMR.Rd       |   14 ++++++-
 src/Makevars            |    2 -
 src/Makevars.win        |    2 -
 src/krylov_bicg.cpp     |    1 
 src/krylov_bicgstab.cpp |    1 
 src/krylov_cgs.cpp      |    1 
 src/krylov_cheby.cpp    |    1 
 src/krylov_gmres.cpp    |    9 ++--
 src/krylov_qmr.cpp      |    1 
 src/method_gs.cpp       |    1 
 src/method_jacobi.cpp   |    1 
 src/method_sor.cpp      |    1 
 src/method_ssor.cpp     |    1 
 45 files changed, 266 insertions(+), 103 deletions(-)

More information about Rlinsolve at CRAN
Permanent link

Package analysisPipelines updated to version 1.0.1 with previous version 1.0.0 dated 2019-01-08

Title: Compose Interoperable Analysis Pipelines & Put Them in Production
Description: Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python. Credits to Mu Sigma for supporting the development of the package. Note - To enable pipelines involving Spark tasks, the package uses the 'SparkR' package. The SparkR package needs to be installed to use Spark as an engine within a pipeline. SparkR is distributed natively with Apache Spark and is not distributed on CRAN. The SparkR version needs to directly map to the Spark version (hence the native distribution), and care needs to be taken to ensure that this is configured properly. To install SparkR from Github, run the following command if you know the Spark version: 'devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg')'. The other option is to install SparkR by running the following terminal commands if Spark has already been installed: '$ export SPARK_HOME=/path/to/spark/directory && cd $SPARK_HOME/R/lib/SparkR/ && R -e "devtools::install('.')"'.
Author: Naren Srinivasan [aut], Zubin Dowlaty [aut], Sanjay [ctb], Neeratyoy Mallik [ctb], Anoop S [ctb], Mu Sigma, Inc. [cre]
Maintainer: "Mu Sigma, Inc." <ird.experiencelab@mu-sigma.com>

Diff between analysisPipelines versions 1.0.0 dated 2019-01-08 and 1.0.1 dated 2020-05-05

 DESCRIPTION                                                                     |   10 
 MD5                                                                             |   18 
 R/core-functions.R                                                              |    3 
 inst/doc/Analysis_pipelines_for_working_with_Python_functions.html              |  379 +++-
 inst/doc/Analysis_pipelines_for_working_with_R_dataframes.html                  |  819 ++++++----
 inst/doc/Analysis_pipelines_for_working_with_sparkR.html                        |  397 +++-
 inst/doc/Interoperable_Pipelines.html                                           |  618 +++++--
 inst/doc/Meta_Pipelines.html                                                    |  569 ++++--
 inst/doc/Streaming_pipelines_for_working_Apache_Spark_Structured_Streaming.html |  535 ++++--
 inst/doc/Using_pipelines_inside_shiny_widgets.html                              |  341 +++-
 10 files changed, 2673 insertions(+), 1016 deletions(-)

More information about analysisPipelines at CRAN
Permanent link

Package timedelay updated to version 1.0.10 with previous version 1.0.9 dated 2020-05-03

Title: Time Delay Estimation for Stochastic Time Series of Gravitationally Lensed Quasars
Description: We provide a toolbox to estimate the time delay between the brightness time series of gravitationally lensed quasar images via Bayesian and profile likelihood approaches. The model is based on a state-space representation for irregularly observed time series data generated from a latent continuous-time Ornstein-Uhlenbeck process. Our Bayesian method adopts scientifically motivated hyper-prior distributions and a Metropolis-Hastings within Gibbs sampler, producing posterior samples of the model parameters that include the time delay. A profile likelihood of the time delay is a simple approximation to the marginal posterior distribution of the time delay. Both Bayesian and profile likelihood approaches complement each other, producing almost identical results; the Bayesian way is more principled but the profile likelihood is easier to implement. A new functionality is added in version 1.0.9 for estimating the time delay between doubly-lensed light curves observed in two bands.
Author: Hyungsuk Tak, Kaisey Mandel, David A. van Dyk, Vinay L. Kashyap, Xiao-Li Meng, Aneta Siemiginowska, and Zhirui Hu
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

Diff between timedelay versions 1.0.9 dated 2020-05-03 and 1.0.10 dated 2020-05-05

 DESCRIPTION              |   10 +++++-----
 MD5                      |    4 ++--
 man/timedelay-package.Rd |    4 ++--
 3 files changed, 9 insertions(+), 9 deletions(-)

More information about timedelay at CRAN
Permanent link

New package samon with initial version 4.0.1
Package: samon
Version: 4.0.1
Type: Package
Date: 2020-04-06
Title: Sensitivity Analysis for Missing Data
Authors@R: c(person("Daniel", "O. Scharfstein", role = c("aut"), email = "dscharf@jhu.edu" ), person("Aidan", "McDermott", role = c("aut", "cre"), email = "amcderm1@jhu.edu"))
Author: Daniel O. Scharfstein [aut], Aidan McDermott [aut, cre]
Maintainer: Aidan McDermott <amcderm1@jhu.edu>
Description: In a clinical trial with repeated measures designs, outcomes are often taken from subjects at fixed time-points. The focus of the trial may be to compare the mean outcome in two or more groups at some pre-specified time after enrollment. In the presence of missing data auxiliary assumptions are necessary to perform such comparisons. One commonly employed assumption is the missing at random assumption (MAR). The 'samon' package allows the user to perform a (parameterized) sensitivity analysis of this assumption. In particular it can be used to examine the sensitivity of tests in the difference in outcomes to violations of the MAR assumption. The sensitivity analysis can be performed under two scenarios, a) where the data exhibit a monotone missing data pattern (see the samon() function), and, b) where in addition to a monotone missing data pattern the data exhibit intermittent missing values (see the samonIM() function).
License: GPL-2
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2020-05-04 00:12:00 UTC; cwang68
Repository: CRAN
Date/Publication: 2020-05-05 13:40:02 UTC

More information about samon at CRAN
Permanent link

New package MortCast with initial version 2.2-1
Package: MortCast
Type: Package
Title: Estimation and Projection of Age-Specific Mortality Rates
Version: 2.2-1
Date: 2020-05-02
Author: Hana Sevcikova, Nan Li and Patrick Gerland
Maintainer: Hana Sevcikova <hanas@uw.edu>
Description: Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.
License: GPL (>= 2)
Depends: wpp2017
RoxygenNote: 7.0.2
LazyLoad: True
LazyData: True
NeedsCompilation: yes
Packaged: 2020-05-02 20:39:14 UTC; hana
Repository: CRAN
Date/Publication: 2020-05-05 13:40:15 UTC

More information about MortCast at CRAN
Permanent link

Package GE updated to version 0.0.9 with previous version 0.0.8 dated 2020-05-01

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see <https://www.nse.pku.edu.cn/> and LI Wu, 2019, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press).
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

Diff between GE versions 0.0.8 dated 2020-05-01 and 0.0.9 dated 2020-05-05

 GE-0.0.8/GE/R/gemMoney_CES_3_2.R                    |only
 GE-0.0.8/GE/man/gemMoney_CES_3_2.Rd                 |only
 GE-0.0.9/GE/DESCRIPTION                             |    9 
 GE-0.0.9/GE/MD5                                     |   60 +--
 GE-0.0.9/GE/NAMESPACE                               |    4 
 GE-0.0.9/GE/R/CES.R                                 |    2 
 GE-0.0.9/GE/R/apply_expand.grid.R                   |only
 GE-0.0.9/GE/R/demand_coefficient.R                  |   27 -
 GE-0.0.9/GE/R/dst_plot.R                            |    3 
 GE-0.0.9/GE/R/gemInputOutputTable_2_8_4.R           |   33 -
 GE-0.0.9/GE/R/gemInputOutputTable_5_4.R             |   10 
 GE-0.0.9/GE/R/gemInputOutputTable_7_4.R             |   16 
 GE-0.0.9/GE/R/gemInputOutputTable_8_8.R             |   20 -
 GE-0.0.9/GE/R/gemInputOutputTable_CES_3_3.R         |   10 
 GE-0.0.9/GE/R/gemInputOutputTable_Leontief_3_3.R    |   10 
 GE-0.0.9/GE/R/gemInputOutputTable_easy_5_4.R        |   12 
 GE-0.0.9/GE/R/gemMoney_3_2.R                        |only
 GE-0.0.9/GE/R/gemStandardInputOutputTable_7_4.R     |   12 
 GE-0.0.9/GE/R/rate_to_beta.R                        |   11 
 GE-0.0.9/GE/R/sdm_dstl.R                            |  396 +++++++++++++++++---
 GE-0.0.9/GE/man/CES.Rd                              |    1 
 GE-0.0.9/GE/man/apply_expand.grid.Rd                |only
 GE-0.0.9/GE/man/demand_coefficient.Rd               |   27 -
 GE-0.0.9/GE/man/gemInputOutputTable_2_8_4.Rd        |   10 
 GE-0.0.9/GE/man/gemInputOutputTable_5_4.Rd          |   10 
 GE-0.0.9/GE/man/gemInputOutputTable_7_4.Rd          |   13 
 GE-0.0.9/GE/man/gemInputOutputTable_8_8.Rd          |   11 
 GE-0.0.9/GE/man/gemInputOutputTable_CES_3_3.Rd      |    9 
 GE-0.0.9/GE/man/gemInputOutputTable_Leontief_3_3.Rd |    9 
 GE-0.0.9/GE/man/gemInputOutputTable_easy_5_4.Rd     |   11 
 GE-0.0.9/GE/man/gemMoney_3_2.Rd                     |only
 GE-0.0.9/GE/man/gemStandardInputOutputTable_7_4.Rd  |   11 
 GE-0.0.9/GE/man/rate_to_beta.Rd                     |   11 
 GE-0.0.9/GE/man/sdm_dstl.Rd                         |  396 +++++++++++++++++---
 34 files changed, 926 insertions(+), 228 deletions(-)

More information about GE at CRAN
Permanent link

New package geostatsp with initial version 1.8.1
Package: geostatsp
Type: Package
Title: Geostatistical Modelling with Likelihood and Bayes
Version: 1.8.1
Date: 2020-05-04
Depends: Matrix (>= 1.2.0), raster, sp, R (>= 3.0.0)
Imports: abind, numDeriv, methods, stats
Suggests: RandomFields (>= 3.3.4), rgdal, parallel, mapmisc, ellipse, pracma, knitr
Enhances: INLA, diseasemapping, geoR, rgeos, mvtnorm
LinkingTo: Matrix
Additional_repositories: https://inla.r-inla-download.org/R/testing
Author: Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Description: Geostatistical modelling facilities using Raster and SpatialPoints objects are provided. Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
License: GPL
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: diseasemapping
Repository/R-Forge/Revision: 2401
Repository/R-Forge/DateTimeStamp: 2020-05-05 01:58:15
Date/Publication: 2020-05-05 13:40:07 UTC
Packaged: 2020-05-05 02:23:30 UTC; rforge

More information about geostatsp at CRAN
Permanent link

Package etasFLP updated to version 2.0.0 with previous version 1.4.0 dated 2017-01-05

Title: Mixed FLP and ML Estimation of ETAS Space-Time Point Processes for Earthquake Description
Description: Estimation of the components of an ETAS (Epidemic Type Aftershock Sequence) model for earthquake description. Non-parametric background seismicity can be estimated through FLP (Forward Likelihood Predictive). New version 2.0.0: covariates have been introduced to explain the effects of external factors on the induced seismicity; the parametrization has been changed; Chiodi, Adelfio (2017)<doi:10.18637/jss.v076.i03>.
Author: Marcello Chiodi [aut, cre], Giada Adelfio [aut]
Maintainer: Marcello Chiodi <marcello.chiodi@unipa.it>

Diff between etasFLP versions 1.4.0 dated 2017-01-05 and 2.0.0 dated 2020-05-05

 etasFLP-1.4.0/etasFLP/R/embedding.rect.cat.eps.R    |only
 etasFLP-1.4.0/etasFLP/R/etas.mod2.R                 |only
 etasFLP-1.4.0/etasFLP/R/etasFLP-internal.R          |only
 etasFLP-1.4.0/etasFLP/R/flp1.etas.nlm.R             |only
 etasFLP-2.0.0/etasFLP/ChangeLog                     |   37 +
 etasFLP-2.0.0/etasFLP/DESCRIPTION                   |   23 
 etasFLP-2.0.0/etasFLP/MD5                           |   76 +-
 etasFLP-2.0.0/etasFLP/NAMESPACE                     |   16 
 etasFLP-2.0.0/etasFLP/R/cat.select.R                |only
 etasFLP-2.0.0/etasFLP/R/compare.etasclass.R         |    9 
 etasFLP-2.0.0/etasFLP/R/embedding.rect.cat.epsNEW.R |only
 etasFLP-2.0.0/etasFLP/R/eqcat.R                     |    2 
 etasFLP-2.0.0/etasFLP/R/etas.mod2NEW.R              |only
 etasFLP-2.0.0/etasFLP/R/etas.starting.R             |    6 
 etasFLP-2.0.0/etasFLP/R/etasclass.R                 |  532 ++++++++++++--------
 etasFLP-2.0.0/etasFLP/R/flp1.etas.nlmNEW.R          |only
 etasFLP-2.0.0/etasFLP/R/flpkspace.R                 |    5 
 etasFLP-2.0.0/etasFLP/R/generaloptimizationNEW.R    |only
 etasFLP-2.0.0/etasFLP/R/kde2d.integral.R            |   24 
 etasFLP-2.0.0/etasFLP/R/kde2dnew.fortran.R          |   40 -
 etasFLP-2.0.0/etasFLP/R/plot.eqcat.R                |   16 
 etasFLP-2.0.0/etasFLP/R/plot.etasclass.R            |  142 ++---
 etasFLP-2.0.0/etasFLP/R/plot.profile.etasclass.R    |    2 
 etasFLP-2.0.0/etasFLP/R/print.etasclass.R           |    2 
 etasFLP-2.0.0/etasFLP/R/profile.etasclass.R         |   62 --
 etasFLP-2.0.0/etasFLP/R/summary.etasclass.R         |    8 
 etasFLP-2.0.0/etasFLP/data/californiacatalog.RData  |binary
 etasFLP-2.0.0/etasFLP/data/catalog.withcov.RData    |only
 etasFLP-2.0.0/etasFLP/data/italycatalog.RData       |binary
 etasFLP-2.0.0/etasFLP/inst/CITATION                 |    4 
 etasFLP-2.0.0/etasFLP/man/bwd.nrd.Rd                |   12 
 etasFLP-2.0.0/etasFLP/man/catalog.withcov.Rd        |only
 etasFLP-2.0.0/etasFLP/man/compare.etasclass.Rd      |    4 
 etasFLP-2.0.0/etasFLP/man/eqcat.Rd                  |   21 
 etasFLP-2.0.0/etasFLP/man/etas.starting.Rd          |   28 -
 etasFLP-2.0.0/etasFLP/man/etasFLP-internal.Rd       |   23 
 etasFLP-2.0.0/etasFLP/man/etasFLP-package.Rd        |   21 
 etasFLP-2.0.0/etasFLP/man/etasclass.Rd              |  237 ++++++--
 etasFLP-2.0.0/etasFLP/man/kde2dnew.fortran.Rd       |   25 
 etasFLP-2.0.0/etasFLP/man/plot.etasclass.Rd         |   24 
 etasFLP-2.0.0/etasFLP/man/profile.etasclass.Rd      |  166 +++---
 etasFLP-2.0.0/etasFLP/man/summary.etasclass.Rd      |  126 +++-
 etasFLP-2.0.0/etasFLP/src/Makevars                  |only
 etasFLP-2.0.0/etasFLP/src/etasFLP.h                 |only
 etasFLP-2.0.0/etasFLP/src/fortran_etas_code.f90     |  462 +++--------------
 etasFLP-2.0.0/etasFLP/src/init.c                    |only
 46 files changed, 1054 insertions(+), 1101 deletions(-)

More information about etasFLP at CRAN
Permanent link

New package epos with initial version 0.1.1
Package: epos
Type: Package
Title: Epilepsy Ontologies Similarities
Version: 0.1.1
Author: Bernd Mueller
Maintainer: Bernd Mueller <bernd.mueller@zbmed.de>
Description: Analysis and visualization of similarities between epilepsy ontologies based on text mining results by comparing ranked lists of co-occurring drug terms in the corpus of LIVIVO. The ranked result lists of neurological drug terms co-occurring with named entities from the epilepsy ontologies EpSO, ESSO, and EPILONT are aggregated in order to generate two different results: an overview table of drugs that are relevant to epilepsy created with the method createNeuroTable, and a plot of tanimoto similarity coefficients between the aggregated list of drug terms against the list of drug terms from each of the ontologies created with the method createTanimotoBaseline(). The alignment of the Top-K Ranked Lists is conducted using the R-package TopKLists <https://cran.r-project.org/package=TopKLists>. The source data to create the ranked lists of drug names is produced using the text mining workflows described in Mueller, Bernd and Hagelstein, Alexandra (2016) <doi:10.4126/FRL01-006408558> and Mueller, Bernd et al. (2017) <doi:10.1007/978-3-319-58694-6_22>.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: hash, ggplot2, tidyr, dplyr, testthat, gridExtra, TopKLists, stringr, xtable
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-05-05 10:25:24 UTC; Muellerb
Repository: CRAN
Date/Publication: 2020-05-05 13:40:09 UTC

More information about epos at CRAN
Permanent link

New package diseasemapping with initial version 1.4.9
Package: diseasemapping
Type: Package
Title: Modelling Spatial Variation in Disease Risk for Areal Data
Version: 1.4.9
Date: 2020-05-04
Depends: R (>= 3.2)
Imports: stats, utils, sp, methods
Suggests: spdep, mgcv, geostatsp, mapmisc (>= 1.0), knitr
Enhances: INLA, XML
Additional_repositories: https://inla.r-inla-download.org/R/testing
Author: Patrick Brown <patrick.brown@utoronto.ca>, Lutong Zhou
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA.
License: GPL
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: diseasemapping
Repository/R-Forge/Revision: 2406
Repository/R-Forge/DateTimeStamp: 2020-05-05 03:20:56
Date/Publication: 2020-05-05 13:40:13 UTC
NeedsCompilation: no
Packaged: 2020-05-05 03:41:45 UTC; rforge

More information about diseasemapping at CRAN
Permanent link

Package writexl updated to version 1.3 with previous version 1.2 dated 2019-11-27

Title: Export Data Frames to Excel 'xlsx' Format
Description: Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter'. Fast and no Java or Excel required.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), John McNamara [cph] (Author of libxlsxwriter (see AUTHORS and COPYRIGHT files for details))
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between writexl versions 1.2 dated 2019-11-27 and 1.3 dated 2020-05-05

 DESCRIPTION                       |    8 ++++----
 MD5                               |   18 +++++++++---------
 NEWS                              |    6 ++++++
 R/write_xlsx.R                    |   15 +++++++++++++--
 inst/WORDLIST                     |    4 ++++
 man/write_xlsx.Rd                 |    6 +++++-
 src/include/xlsxwriter/common.h   |   13 ++++++++-----
 src/libxlsxwriter/workbook.c      |   16 ++++++++--------
 src/write_xlsx.c                  |   14 +++++++++-----
 tests/testthat/test-performance.R |    1 +
 10 files changed, 67 insertions(+), 34 deletions(-)

More information about writexl at CRAN
Permanent link

Package ghyp updated to version 1.6.1 with previous version 1.6.0 dated 2020-04-21

Title: Generalized Hyperbolic Distribution and Its Special Cases
Description: Detailed functionality for working with the univariate and multivariate Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student-t and Gaussian distribution). Especially, it contains fitting procedures, an AIC-based model selection routine, and functions for the computation of density, quantile, probability, random variates, expected shortfall and some portfolio optimization and plotting routines as well as the likelihood ratio test. In addition, it contains the Generalized Inverse Gaussian distribution. See Chapter 3 of A. J. McNeil, R. Frey, and P. Embrechts. Quantitative risk management: Concepts, techniques and tools. Princeton University Press, Princeton (2005).
Author: Marc Weibel, David Luethi, Wolfgang Breymann
Maintainer: Marc Weibel <marc.weibel@quantsulting.ch>

Diff between ghyp versions 1.6.0 dated 2020-04-21 and 1.6.1 dated 2020-05-05

 ChangeLog                                        |    7 +
 DESCRIPTION                                      |   12 +-
 MD5                                              |   23 ++--
 NAMESPACE                                        |    8 +
 R/ghyp-attribution.R                             |only
 R/ghypClasses.R                                  |   54 +++++++++++
 R/ghypGenericMethods.R                           |  111 ++++++++++++++++++++++-
 R/ghypPlots.R                                    |only
 README.md                                        |    2 
 build/vignette.rds                               |binary
 inst/doc/Generalized_Hyperbolic_Distribution.R   |    1 
 inst/doc/Generalized_Hyperbolic_Distribution.pdf |binary
 man/ESghyp.attribution.Rd                        |only
 man/ghyp.attribution-class.Rd                    |only
 man/plot-ghyp.attribution.Rd                     |only
 15 files changed, 196 insertions(+), 22 deletions(-)

More information about ghyp at CRAN
Permanent link

Package pcadapt updated to version 4.3.3 with previous version 4.3.1 dated 2020-02-28

Title: Fast Principal Component Analysis for Outlier Detection
Description: Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis. Implements the method described in (Luu, 2016) <DOI:10.1111/1755-0998.12592>.
Author: Keurcien Luu [aut], Michael Blum [aut], Florian Privé [aut, cre], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between pcadapt versions 4.3.1 dated 2020-02-28 and 4.3.3 dated 2020-05-05

 DESCRIPTION            |   17 ++++++++++-------
 MD5                    |   21 ++++++++++++---------
 NEWS.md                |only
 R/bed2matrix.R         |    4 ++--
 R/pcadaptUtils.R       |    2 +-
 R/plotUtils.R          |    4 ++--
 README.md              |   40 ++++++++++++++++++----------------------
 inst/CITATION          |only
 inst/WORDLIST          |only
 man/bed2matrix.Rd      |    4 ++--
 man/get.score.color.Rd |    2 +-
 man/plot.pcadapt.Rd    |    2 +-
 man/scree_plot.Rd      |    2 +-
 13 files changed, 50 insertions(+), 48 deletions(-)

More information about pcadapt at CRAN
Permanent link

New package MinEDfind with initial version 0.1.3
Package: MinEDfind
Type: Package
Title: A Bayesian Design for Minimum Effective Dosing-Finding Trial
Version: 0.1.3
Author: Chia-Wei Hsu, Fang Wang, Rongji Mu, Haitao Pan, Guoying Xu
Maintainer: Chia-Wei Hsu <Chia-Wei.Hsu@stjude.org>
Description: The nonparametric two-stage Bayesian adaptive design is a novel phase II clinical trial design for finding the minimum effective dose (MinED). This design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. It is used to design single-agent trials.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: Iso, ggplot2, gridExtra
NeedsCompilation: no
Packaged: 2020-04-30 20:15:49 UTC; chsu1
Repository: CRAN
Date/Publication: 2020-05-05 10:10:06 UTC

More information about MinEDfind at CRAN
Permanent link

Package ggupset updated to version 0.3.0 with previous version 0.2.1 dated 2020-03-29

Title: Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
Description: Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis.
Author: Constantin Ahlmann-Eltze [aut, cre] (<https://orcid.org/0000-0002-3762-068X>)
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>

Diff between ggupset versions 0.2.1 dated 2020-03-29 and 0.3.0 dated 2020-05-05

 DESCRIPTION                           |    6 +++---
 MD5                                   |    8 ++++----
 NEWS.md                               |    6 ++++++
 R/axis_combmatrix.R                   |   34 ++++++++++++++--------------------
 tests/testthat/test-axis_combmatrix.R |    5 +++++
 5 files changed, 32 insertions(+), 27 deletions(-)

More information about ggupset at CRAN
Permanent link

New package EPGMr with initial version 1.0.0
Package: EPGMr
Type: Package
Title: Implementation of the Everglades Phosphorus Gradient Model
Version: 1.0.0
Date: 2020-04-30
Authors@R: c(person("Paul","Julian",role=c("aut","cre"),email="pauljulianphd@gmail.com"))
URL: https://github.com/swampthingpaul/EPGMr
Description: Everglades Phosphorus Gradient Model predicts variations in water-column P concentration, peat accretion rate, and soil P concentration along a horizontal gradient imposed by an external phosphorus load and sheet-flow conditions. Potential biological responses are expressed in terms of marsh surface area exceeding threshold criteria for water-column and soil phosphorus concentrations. More information of the model can be found at <http://www.wwwalker.net/epgm/>.
License: GPL-3
Depends: R (>= 3.6)
Imports: grDevices, graphics, stats, utils
Suggests: knitr, rmarkdown
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-04-30 23:55:35 UTC; Julian_P
Author: Paul Julian [aut, cre]
Maintainer: Paul Julian <pauljulianphd@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-05 10:30:02 UTC

More information about EPGMr at CRAN
Permanent link

Package bayest updated to version 1.2 with previous version 1.1 dated 2019-12-13

Title: Bayesian t-Test
Description: Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates the posterior distributions of the effect size, the difference of means and difference of standard deviations. A posterior analysis of the effect size via the region of practical equivalence is provided, too. For more details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>

Diff between bayest versions 1.1 dated 2019-12-13 and 1.2 dated 2020-05-05

 DESCRIPTION       |   13 
 MD5               |    6 
 R/bayest.R        | 1434 ++++++++++++++++++++++++++++++++++--------------------
 build/partial.rdb |binary
 4 files changed, 921 insertions(+), 532 deletions(-)

More information about bayest at CRAN
Permanent link

Package rmsfuns updated to version 1.0.0.1 with previous version 1.0.0.0 dated 2020-04-27

Title: Quickly View Data Frames in 'Excel', Build Folder Paths and Create Date Vectors
Description: Contains several useful navigation helper functions, including easily building folder paths, quick viewing dataframes in 'Excel', creating date vectors and changing the console prompt to reflect time.
Author: Nico Katzke [aut, cre]
Maintainer: Nico Katzke <nfkatzke@gmail.com>

Diff between rmsfuns versions 1.0.0.0 dated 2020-04-27 and 1.0.0.1 dated 2020-05-05

 DESCRIPTION               |    6 +++---
 MD5                       |    6 +++---
 R/Safe_Return.portfolio.R |    2 +-
 inst/doc/rmsfuns.html     |    4 ++--
 4 files changed, 9 insertions(+), 9 deletions(-)

More information about rmsfuns at CRAN
Permanent link

Package foghorn updated to version 1.2.1 with previous version 1.1.5 dated 2020-04-07

Title: Summarize CRAN Check Results in the Terminal
Description: The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

Diff between foghorn versions 1.1.5 dated 2020-04-07 and 1.2.1 dated 2020-05-05

 DESCRIPTION                            |   12 ++---
 MD5                                    |   28 ++++++------
 NAMESPACE                              |    5 ++
 NEWS.md                                |    7 +++
 R/cran_details.R                       |    2 
 R/cran_flavors.R                       |only
 R/cran_results.R                       |   13 +++--
 R/foghorn.R                            |   11 ++---
 build/vignette.rds                     |binary
 inst/doc/foghorn.html                  |   58 ++++++++++++--------------
 man/cran_details.Rd                    |   34 +++++++--------
 man/cran_results.Rd                    |   34 +++++++--------
 man/n_cran_flavors.Rd                  |only
 man/summary_cran_results.Rd            |    8 +--
 tests/testthat/test-foghorn.R          |   72 +++++++++++++++++++++++++--------
 tests/testthat/test-n_cran_platforms.R |   65 +++++++++++++++++++++--------
 16 files changed, 215 insertions(+), 134 deletions(-)

More information about foghorn at CRAN
Permanent link

New package DiPALM with initial version 1.0
Package: DiPALM
Type: Package
Title: Differential Pattern Analysis via Linear Modeling
Version: 1.0
Date: 2020-04-05
Author: Ryan C. Sartor <sartorry@gmail.com>, Kathleen Greenham <greenham@umn.edu>
Maintainer: Ryan C. Sartor <sartorry@gmail.com>
Description: Individual gene expression patterns are encoded into a series of eigenvector patterns ('WGCNA' package). Using the framework of linear model-based differential expression comparisons ('limma' package), time-course expression patterns for genes in different conditions are compared and analyzed for significant pattern changes. For reference, see Kathleen Greenham, Ryan C Sartor, Stevan Zorich, Ping Lou, Todd C Mockler and C. Robertson McClung (2020) <doi:10.1101/2020.04.03.024281>.
License: GPL (>= 2)
Imports: limma, WGCNA, ggplot2
Suggests: edgeR
NeedsCompilation: no
Packaged: 2020-04-30 02:38:10 UTC; ryan
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2020-05-05 09:30:02 UTC

More information about DiPALM at CRAN
Permanent link

Package DiceEval updated to version 1.5 with previous version 1.4 dated 2015-06-15

Title: Construction and Evaluation of Metamodels
Description: Estimation, validation and prediction of models of different types : linear models, additive models, MARS,PolyMARS and Kriging.
Author: D. Dupuy and C. Helbert
Maintainer: C. Helbert <Celine.Helbert@ec-lyon.fr>

Diff between DiceEval versions 1.4 dated 2015-06-15 and 1.5 dated 2020-05-05

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 NAMESPACE   |    3 +--
 3 files changed, 7 insertions(+), 8 deletions(-)

More information about DiceEval at CRAN
Permanent link

Package pksensi updated to version 1.1.6 with previous version 1.1.5 dated 2020-02-05

Title: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling
Description: Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in physiologically based kinetic (PK) models, especially the physiologically based pharmacokinetic/toxicokinetic model with multivariate outputs. The package also provides some functions to check the convergence and sensitivity of model parameters.
Author: Nan-Hung Hsieh [aut, cre] (<https://orcid.org/0000-0003-0163-2766>), Brad Reisfeld [aut], Weihsueh A. Chiu [aut] (<https://orcid.org/0000-0002-7575-2368>)
Maintainer: Nan-Hung Hsieh <nhsieh@cvm.tamu.edu>

Diff between pksensi versions 1.1.5 dated 2020-02-05 and 1.1.6 dated 2020-05-05

 DESCRIPTION             |   14 +++++-----
 MD5                     |   30 +++++++++++------------
 NEWS.md                 |    5 +++
 R/check.R               |   50 ++++++++++++++++++++++++--------------
 build/vignette.rds      |binary
 inst/doc/pbpk_apap.R    |   30 +++++++++++------------
 inst/doc/pbpk_apap.Rmd  |    4 +--
 inst/doc/pbpk_apap.html |   16 +++++-------
 inst/doc/pbtk1cpt.R     |   62 ++++++++++++++++++++++++------------------------
 inst/doc/pbtk1cpt.html  |   12 +++------
 man/check.Rd            |   21 +++++++++++++---
 man/compile_model.Rd    |    8 ++++--
 man/rfast99.Rd          |   12 +++++++--
 man/solve_fun.Rd        |   22 +++++++++++++----
 man/solve_mcsim.Rd      |   38 ++++++++++++++++++++++++-----
 vignettes/pbpk_apap.Rmd |    4 +--
 16 files changed, 202 insertions(+), 126 deletions(-)

More information about pksensi at CRAN
Permanent link

Package pillar updated to version 1.4.4 with previous version 1.4.3 dated 2019-12-20

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between pillar versions 1.4.3 dated 2019-12-20 and 1.4.4 dated 2020-05-05

 DESCRIPTION       |   23 ++++++++++++-----------
 MD5               |   16 +++++++++-------
 NAMESPACE         |    6 ------
 NEWS.md           |    9 +++++++++
 R/deprecated.R    |only
 R/dim.R           |    4 ++--
 R/type-sum.R      |   25 ++-----------------------
 build/pillar.pdf  |binary
 man/deprecated.Rd |only
 man/type_sum.Rd   |    5 +----
 10 files changed, 35 insertions(+), 53 deletions(-)

More information about pillar at CRAN
Permanent link

Package correlation updated to version 0.2.1 with previous version 0.2.0 dated 2020-04-09

Title: Methods for Correlation Analysis
Description: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Relies on the easystats ecosystem (Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>).
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between correlation versions 0.2.0 dated 2020-04-09 and 0.2.1 dated 2020-05-05

 DESCRIPTION                       |    6 +-
 MD5                               |   22 +++++-----
 NEWS.md                           |   24 ++++++++++-
 R/cor_to_pcor.R                   |   13 ++++--
 R/correlation.R                   |   79 ++++++++++++++++++++------------------
 R/methods.easycorrelation.R       |    3 +
 R/print.easycormatrix.R           |    3 -
 man/cor_test.Rd                   |   19 ++++++---
 man/correlation.Rd                |   35 ++++++++++------
 man/distance_mahalanobis.Rd       |   68 ++++++++++++++++----------------
 tests/testthat/test-cor_test.R    |    7 ++-
 tests/testthat/test-cor_to_pcor.R |   10 ++--
 12 files changed, 174 insertions(+), 115 deletions(-)

More information about correlation at CRAN
Permanent link

Package MSEtool updated to version 1.6.0 with previous version 1.5.0 dated 2020-03-24

Title: Management Strategy Evaluation Toolkit
Description: Simulation tools for management strategy evaluation are provided for the 'DLMtool' operating model to inform data-rich fisheries. 'MSEtool' provides complementary assessment models of varying complexity with standardized reporting, diagnostic tools for evaluating assessment models within closed-loop simulation, and helper functions for building more complex operating models and management procedures.
Author: Quang Huynh [aut], Tom Carruthers [aut, cre], Adrian Hordyk [aut], Chris Grandin [ctb] (iSCAM functions)
Maintainer: Tom Carruthers <t.carruthers@oceans.ubc.ca>

Diff between MSEtool versions 1.5.0 dated 2020-03-24 and 1.6.0 dated 2020-05-05

 MSEtool-1.5.0/MSEtool/inst/include/DD_SS.hpp           |only
 MSEtool-1.5.0/MSEtool/inst/include/cDD_SS.hpp          |only
 MSEtool-1.5.0/MSEtool/man/Data-rich-MP.Rd              |only
 MSEtool-1.6.0/MSEtool/DESCRIPTION                      |    8 
 MSEtool-1.6.0/MSEtool/MD5                              |  139 ++--
 MSEtool-1.6.0/MSEtool/NAMESPACE                        |    5 
 MSEtool-1.6.0/MSEtool/NEWS.md                          |    6 
 MSEtool-1.6.0/MSEtool/R/SRA_scope.R                    |   91 +-
 MSEtool-1.6.0/MSEtool/R/SRA_scope_data.R               |    6 
 MSEtool-1.6.0/MSEtool/R/assess_DD.R                    |  254 ++-----
 MSEtool-1.6.0/MSEtool/R/assess_SCA.R                   |   13 
 MSEtool-1.6.0/MSEtool/R/assess_SCA2.R                  |   13 
 MSEtool-1.6.0/MSEtool/R/assess_SCA_Pope.R              |   13 
 MSEtool-1.6.0/MSEtool/R/assess_SP.R                    |   14 
 MSEtool-1.6.0/MSEtool/R/assess_SSS.R                   |only
 MSEtool-1.6.0/MSEtool/R/assess_VPA.R                   |   22 
 MSEtool-1.6.0/MSEtool/R/assess_cDD.R                   |  201 +----
 MSEtool-1.6.0/MSEtool/R/define_S4_class_SRA.R          |   58 +
 MSEtool-1.6.0/MSEtool/R/define_S4_class_assess.R       |    2 
 MSEtool-1.6.0/MSEtool/R/define_S4_class_profile.R      |   20 
 MSEtool-1.6.0/MSEtool/R/report_DD_TMB.R                |   64 -
 MSEtool-1.6.0/MSEtool/R/report_SCA.R                   |   59 -
 MSEtool-1.6.0/MSEtool/R/report_SCA_Pope.R              |   55 -
 MSEtool-1.6.0/MSEtool/R/report_SP.R                    |   44 -
 MSEtool-1.6.0/MSEtool/R/report_SSS.R                   |only
 MSEtool-1.6.0/MSEtool/R/report_VPA.R                   |   42 -
 MSEtool-1.6.0/MSEtool/R/report_cDD.R                   |   44 -
 MSEtool-1.6.0/MSEtool/R/report_spict.R                 |   37 +
 MSEtool-1.6.0/MSEtool/R/z_MPs.R                        |   43 -
 MSEtool-1.6.0/MSEtool/build/vignette.rds               |binary
 MSEtool-1.6.0/MSEtool/inst/doc/Delay_difference.Rmd    |    4 
 MSEtool-1.6.0/MSEtool/inst/doc/Delay_difference.html   |    8 
 MSEtool-1.6.0/MSEtool/inst/doc/MSEtool.R               |    6 
 MSEtool-1.6.0/MSEtool/inst/doc/MSEtool.Rmd             |   37 -
 MSEtool-1.6.0/MSEtool/inst/doc/MSEtool.html            |  121 +--
 MSEtool-1.6.0/MSEtool/inst/doc/SCA.Rmd                 |    4 
 MSEtool-1.6.0/MSEtool/inst/doc/SCA.html                |    8 
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope.Rmd           |  188 -----
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope.html          |  158 ----
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope_eq.R          |only
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope_eq.Rmd        |only
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope_eq.html       |only
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope_sel.R         |only
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope_sel.Rmd       |only
 MSEtool-1.6.0/MSEtool/inst/doc/SRA_scope_sel.html      |only
 MSEtool-1.6.0/MSEtool/inst/doc/Surplus_production.Rmd  |    4 
 MSEtool-1.6.0/MSEtool/inst/doc/Surplus_production.html |    8 
 MSEtool-1.6.0/MSEtool/inst/doc/VPA.Rmd                 |    4 
 MSEtool-1.6.0/MSEtool/inst/doc/VPA.html                |    8 
 MSEtool-1.6.0/MSEtool/inst/doc/multiMSE.R              |   18 
 MSEtool-1.6.0/MSEtool/inst/doc/multiMSE.Rmd            |   21 
 MSEtool-1.6.0/MSEtool/inst/doc/multiMSE.html           |  581 ++++++++---------
 MSEtool-1.6.0/MSEtool/inst/include/DD.hpp              |   81 +-
 MSEtool-1.6.0/MSEtool/inst/include/SCA.hpp             |    3 
 MSEtool-1.6.0/MSEtool/inst/include/SCA2.hpp            |    3 
 MSEtool-1.6.0/MSEtool/inst/include/SCA_Pope.hpp        |    3 
 MSEtool-1.6.0/MSEtool/inst/include/SP.hpp              |    3 
 MSEtool-1.6.0/MSEtool/inst/include/cDD.hpp             |   37 -
 MSEtool-1.6.0/MSEtool/inst/include/functions.hpp       |    2 
 MSEtool-1.6.0/MSEtool/man/Albacore_TwoFleet.Rd         |   58 -
 MSEtool-1.6.0/MSEtool/man/Assessment-class.Rd          |  296 ++++----
 MSEtool-1.6.0/MSEtool/man/DD_TMB.Rd                    |  332 ++++-----
 MSEtool-1.6.0/MSEtool/man/Model-based-MP.Rd            |only
 MSEtool-1.6.0/MSEtool/man/SRA-class.Rd                 |  119 ++-
 MSEtool-1.6.0/MSEtool/man/SRA_scope.Rd                 |   23 
 MSEtool-1.6.0/MSEtool/man/SSS.Rd                       |only
 MSEtool-1.6.0/MSEtool/man/VPA.Rd                       |  229 +++---
 MSEtool-1.6.0/MSEtool/man/profile.Rd                   |  106 +--
 MSEtool-1.6.0/MSEtool/src/MSEtool.cpp                  |    6 
 MSEtool-1.6.0/MSEtool/vignettes/Delay_difference.Rmd   |    4 
 MSEtool-1.6.0/MSEtool/vignettes/MSEtool.Rmd            |   37 -
 MSEtool-1.6.0/MSEtool/vignettes/SCA.Rmd                |    4 
 MSEtool-1.6.0/MSEtool/vignettes/SRA_scope.Rmd          |  188 -----
 MSEtool-1.6.0/MSEtool/vignettes/SRA_scope_eq.Rmd       |only
 MSEtool-1.6.0/MSEtool/vignettes/SRA_scope_sel.Rmd      |only
 MSEtool-1.6.0/MSEtool/vignettes/Surplus_production.Rmd |    4 
 MSEtool-1.6.0/MSEtool/vignettes/VPA.Rmd                |    4 
 MSEtool-1.6.0/MSEtool/vignettes/multiMSE.Rmd           |   21 
 78 files changed, 1661 insertions(+), 2333 deletions(-)

More information about MSEtool at CRAN
Permanent link

Package graphicsQC (with last version 1.0-8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-10-24 1.0-8
2016-03-03 1.0-7
2014-12-21 1.0-6
2014-02-24 1.0-5
2009-04-27 1.0-4
2009-03-31 1.0-3
2009-02-11 1.0-2
2008-12-15 1.0-1
2008-12-11 1.0

Permanent link

Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.