Title: Uganda Time Series Database API
Description: An R API providing easy access to a relational database with macroeconomic,
financial and development related time series data for Uganda.
Overall more than 5000 series at varying frequency (daily, monthly,
quarterly, annual in fiscal or calendar years) can be accessed through
the API. The data is provided by the Bank of Uganda,
the Ugandan Ministry of Finance, Planning and Economic Development,
the IMF and the World Bank. The database is being updated once a month.
Author: Sebastian Krantz [aut, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Diff between ugatsdb versions 0.2.1 dated 2021-09-17 and 0.2.2 dated 2021-11-25
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS.md | 5 +++++ R/accessdb.R | 23 +++++++++++++++++------ R/ugatsdb.R | 14 ++++++++------ man/make_date.Rd | 4 ++-- man/ugatsdb_reconnect.Rd | 44 ++++++++++++++++++++++---------------------- 7 files changed, 64 insertions(+), 46 deletions(-)
Title: Print Maps, Draw on Them, Scan Them Back in
Description: Enables preparation of maps to be printed and drawn on.
Modified maps can then be scanned back in, and hand-drawn marks
converted to spatial objects.
Author: Mark Padgham [aut, cre],
Michael D. Sumner [aut],
Kelly Hondula [rev] (Kelly reviewed the package for rOpenSci, see
https://github.com/ropensci/software-review/issues/330),
Nicholas Potter [rev] (Nichola reviewed the package for rOpenSci, see
https://github.com/ropensci/software-review/issues/330),
Stanislaw Adaszewski [cph] (author of include concaveman-cpp code)
Maintainer: Mark Padgham <mark.padgham@email.com>
Diff between mapscanner versions 0.0.5 dated 2021-11-18 and 0.0.6 dated 2021-11-25
mapscanner-0.0.5/mapscanner/man/figures |only mapscanner-0.0.6/mapscanner/DESCRIPTION | 6 mapscanner-0.0.6/mapscanner/MD5 | 22 +- mapscanner-0.0.6/mapscanner/R/rectify-maps.R | 2 mapscanner-0.0.6/mapscanner/inst/doc/mapscanner.R | 114 +++++++------- mapscanner-0.0.6/mapscanner/inst/doc/mapscanner.Rmd | 49 ++---- mapscanner-0.0.6/mapscanner/inst/doc/mapscanner.html | 17 -- mapscanner-0.0.6/mapscanner/inst/doc/mapstyles.html | 4 mapscanner-0.0.6/mapscanner/man/mapscanner-package.Rd | 2 mapscanner-0.0.6/mapscanner/man/ms_rectify_map.Rd | 20 -- mapscanner-0.0.6/mapscanner/tests/testthat/test-rectify.R | 3 mapscanner-0.0.6/mapscanner/vignettes/mapscanner.Rmd | 49 ++---- 12 files changed, 128 insertions(+), 160 deletions(-)
Title: Multiple Imputation Using MICE and Random Forest
Description: Functions to impute using random forest under full conditional specifications (multivariate imputation by chained equations). The methods are described in Shah and others (2014) <doi:10.1093/aje/kwt312>.
Author: Anoop Shah [aut, cre],
Jonathan Bartlett [ctb],
Harry Hemingway [ths],
Owen Nicholas [ths],
Aroon Hingorani [ths]
Maintainer: Anoop Shah <anoop@doctors.org.uk>
Diff between CALIBERrfimpute versions 1.0-5 dated 2021-05-05 and 1.0-6 dated 2021-11-25
DESCRIPTION | 8 - MD5 | 18 +-- NEWS | 10 ++ build/vignette.rds |binary inst/doc/simstudy_survival.R | 140 ++++++++--------------------- inst/doc/simstudy_survival.Rnw | 104 ++++----------------- inst/doc/simstudy_survival.pdf |binary inst/doc/simstudy_survival_largesample.pdf |binary man/CALIBERrfimpute-package.Rd | 4 vignettes/simstudy_survival.Rnw | 104 ++++----------------- 10 files changed, 111 insertions(+), 277 deletions(-)
More information about CALIBERrfimpute at CRAN
Permanent link
Title: Bootstrap p-Values
Description: Computation of bootstrap p-values through inversion of confidence intervals, including convenience functions for regression models.
Author: Måns Thulin [aut, cre]
Maintainer: Måns Thulin <mans@statistikkonsult.com>
Diff between boot.pval versions 0.3 dated 2021-09-04 and 0.4 dated 2021-11-25
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 3 +++ R/boot_summary.R | 8 ++++++++ R/censboot_summary.R | 25 +++++++++++++++++++++---- README.md | 2 +- build/partial.rdb |binary man/boot_summary.Rd | 3 +++ 8 files changed, 46 insertions(+), 15 deletions(-)
More information about worldfootballR at CRAN
Permanent link
More information about gamlss.foreach at CRAN
Permanent link
Title: Audio Interface for R
Description: Interfaces to audio devices (mainly sample-based) from R to allow recording and playback of audio. Built-in devices include Windows MM, Mac OS X AudioUnits and PortAudio (the last one is very experimental).
Author: Simon Urbanek <simon.urbanek@r-project.org>
Maintainer: Simon Urbanek <simon.urbanek@r-project.org>
Diff between audio versions 0.1-8 dated 2021-09-08 and 0.1-10 dated 2021-11-25
DESCRIPTION | 6 MD5 | 23 NEWS | 11 configure | 2509 ++++++++++++++++++++++++++++---------------------------- configure.ac | 4 src/au.c | 22 src/config.h.in | 10 src/driver.c | 6 src/driver.h | 3 src/file.c | 10 src/pa.c | 2 src/reg.c |only src/wmm.c | 4 13 files changed, 1329 insertions(+), 1281 deletions(-)
Title: Derivatives of the First-Passage Time Density and Cumulative
Distribution Function, and Random Sampling from the (Truncated)
First-Passage Time Distribution
Description: First, we provide functions to calculate the partial derivative of the first-passage time diffusion probability density function (PDF) and cumulative
distribution function (CDF) with respect to the first-passage time t (only for PDF), the upper barrier a, the drift rate v, the relative starting point w, the
non-decision time t0, the inter-trial variability of the drift rate sv, the inter-trial variability of the rel. starting point sw, and the inter-trial variability
of the non-decision time st0. In addition the PDF and CDF themselves are also provided. Most calculations are done on the logarithmic scale to make it more stable.
Since the PDF, CDF, and their derivatives are represented as infinite series, we give the user the option to control the approximation errors with the argument
'precision'. For the numerical integration we used the C library cubature by Johnson, S. G. (2005-2013) <https://github.com/stevengj/cubature>. Numerical integration is
required whenever sv, sw, and/or st0 is not zero. Note that numerical integration reduces speed of the computation and the precision cannot be guaranteed
anymore. Therefore, whenever numerical integration is used an estimate of the approximation error is provided in the output list.
Note: The large number of contributors (ctb) is due to copying a lot of C/C++ code chunks from the GNU Scientific Library (GSL).
Second, we provide methods to sample from the first-passage time distribution with or without user-defined truncation from above. The first method is a new adaptive
rejection sampler building on the works of Gilks and Wild (1992; <doi:10.2307/2347565>) and Hartmann and Klauer (in press). The second method is a rejection
sampler provided by Drugowitsch (2016; <doi:10.1038/srep20490>). The third method is an inverse transformation sampler. The fourth method is a
"pseudo" adaptive rejection sampler that builds on the first method. For more details see the corresponding help files.
Author: Raphael Hartmann [aut, cre],
Karl C. Klauer [cph, aut, ctb, ths],
Steven G. Johnson [ctb],
Jean M. Linhart [ctb],
Brian Gough [ctb],
Gerard Jungman [ctb],
Rudolf Schuerer [ctb],
Przemyslaw Sliwa [ctb],
Jason H. Stover [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>
Diff between WienR versions 0.2-2 dated 2021-09-02 and 0.3-0 dated 2021-11-25
WienR-0.2-2/WienR/src/adaptive_rejection_samp.cpp |only WienR-0.2-2/WienR/src/adaptive_rejection_samp.h |only WienR-0.3-0/WienR/DESCRIPTION | 24 WienR-0.3-0/WienR/MD5 | 115 ++-- WienR-0.3-0/WienR/NAMESPACE | 2 WienR-0.3-0/WienR/R/WienerDens.R | 11 WienR-0.3-0/WienR/R/WienerDist.R | 11 WienR-0.3-0/WienR/R/daWienerDens.R | 13 WienR-0.3-0/WienR/R/daWienerDist.R | 11 WienR-0.3-0/WienR/R/dst0WienerDens.R | 11 WienR-0.3-0/WienR/R/dst0WienerDist.R | 11 WienR-0.3-0/WienR/R/dsvWienerDens.R | 11 WienR-0.3-0/WienR/R/dsvWienerDist.R | 11 WienR-0.3-0/WienR/R/dswWienerDens.R | 11 WienR-0.3-0/WienR/R/dswWienerDist.R | 13 WienR-0.3-0/WienR/R/dt0WienerDens.R | 11 WienR-0.3-0/WienR/R/dt0WienerDist.R | 11 WienR-0.3-0/WienR/R/dtWienerDens.R | 11 WienR-0.3-0/WienR/R/dvWienerDens.R | 13 WienR-0.3-0/WienR/R/dvWienerDist.R | 13 WienR-0.3-0/WienR/R/dwWienerDens.R | 11 WienR-0.3-0/WienR/R/dwWienerDist.R | 11 WienR-0.3-0/WienR/R/dxWienerDens.R | 11 WienR-0.3-0/WienR/R/dxWienerDist.R | 11 WienR-0.3-0/WienR/R/sampWiener.R |only WienR-0.3-0/WienR/build |only WienR-0.3-0/WienR/man/WienerCDF.Rd | 6 WienR-0.3-0/WienR/man/WienerPDF.Rd | 6 WienR-0.3-0/WienR/man/daWienerCDF.Rd | 6 WienR-0.3-0/WienR/man/daWienerPDF.Rd | 6 WienR-0.3-0/WienR/man/dst0WienerCDF.Rd | 6 WienR-0.3-0/WienR/man/dst0WienerPDF.Rd | 6 WienR-0.3-0/WienR/man/dsvWienerCDF.Rd | 6 WienR-0.3-0/WienR/man/dsvWienerPDF.Rd | 6 WienR-0.3-0/WienR/man/dswWienerCDF.Rd | 6 WienR-0.3-0/WienR/man/dswWienerPDF.Rd | 6 WienR-0.3-0/WienR/man/dt0WienerCDF.Rd | 6 WienR-0.3-0/WienR/man/dt0WienerPDF.Rd | 6 WienR-0.3-0/WienR/man/dtWienerPDF.Rd | 6 WienR-0.3-0/WienR/man/dvWienerCDF.Rd | 6 WienR-0.3-0/WienR/man/dvWienerPDF.Rd | 6 WienR-0.3-0/WienR/man/dwWienerCDF.Rd | 6 WienR-0.3-0/WienR/man/dwWienerPDF.Rd | 6 WienR-0.3-0/WienR/man/gradWienerCDF.Rd | 6 WienR-0.3-0/WienR/man/gradWienerPDF.Rd | 6 WienR-0.3-0/WienR/man/sampWiener.Rd |only WienR-0.3-0/WienR/src/R_wrapper.cpp | 44 - WienR-0.3-0/WienR/src/WienR_init.c | 16 WienR-0.3-0/WienR/src/cdf_fncs.cpp | 44 - WienR-0.3-0/WienR/src/converged.h | 2 WienR-0.3-0/WienR/src/derivs.cpp | 123 ++-- WienR-0.3-0/WienR/src/derivs.h | 8 WienR-0.3-0/WienR/src/fncs_seven.cpp | 12 WienR-0.3-0/WienR/src/fncs_seven.h | 4 WienR-0.3-0/WienR/src/hcubature.c | 7 WienR-0.3-0/WienR/src/methods.cpp |only WienR-0.3-0/WienR/src/methods.h |only WienR-0.3-0/WienR/src/pdf_fncs.cpp | 15 WienR-0.3-0/WienR/src/rwiener.cpp | 565 ++++++++-------------- WienR-0.3-0/WienR/src/rwiener.h | 35 + WienR-0.3-0/WienR/src/tools.cpp | 35 - WienR-0.3-0/WienR/src/tools.h | 11 62 files changed, 781 insertions(+), 612 deletions(-)
Title: R Interface to the 'Flsgen' Neutral Landscape Generator with
Targets on Landscape Indices
Description: Interface to the 'flsgen' neutral landscape generator <https://github.com/dimitri-justeau/flsgen>. It allows to
- Generate fractal terrain;
- Generate landscape structures satisfying user targets over landscape indices;
- Generate landscape raster from landscape structures.
Author: Dimitri Justeau-Allaire, Grégoire Blanchard, Thomas Ibanez, Xavier Lorca, Ghislain Vieilledent, Philippe Birnbaum
Maintainer: Dimitri Justeau-Allaire <dimitri.justeau@gmail.com>
Diff between rflsgen versions 0.1.0 dated 2021-11-24 and 0.1.1 dated 2021-11-25
DESCRIPTION | 15 ++++++++------- MD5 | 5 +++-- NEWS.md |only R/zzz.R | 7 +++++++ 4 files changed, 18 insertions(+), 9 deletions(-)
Title: Cartography for Statistical Analysis
Description: Creating maps for statistical analysis such as proportional circles, chroropleth, typology and flows. Some functions use 'shiny' or 'leaflet' technologies for dynamism and interactivity.
The great features are :
- Create maps in a web environment where the parameters are modifiable on the fly ('shiny' and 'leaflet' technology).
- Create interactive maps through zoom and pop-up ('leaflet' technology).
- Create frozen maps with the possibility to add labels.
Author: Sébastien CALVET - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [cre, aut],
Sophie AUDRIC - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [aut],
SED - DR Hauts-de-France - INSEE [ctb],
PSAR-SL - DR Auvergne-Rhone-Alpes - INSEE [ctb],
PSAR-EEP - DR Occitanie - INSEE [ctb],
SED - DR Pays-de-la-Loire - INSEE [ctb]
Maintainer: Sébastien CALVET <sebastien.calvet@insee.fr>
Diff between oceanis versions 1.7.5.2 dated 2021-04-26 and 1.8.4 dated 2021-11-25
oceanis-1.7.5.2/oceanis/R/flux_legende_joignantes.R |only oceanis-1.7.5.2/oceanis/R/flux_legende_joignantes_pl.R |only oceanis-1.7.5.2/oceanis/R/flux_legende_saphirs.R |only oceanis-1.7.5.2/oceanis/R/flux_legende_saphirs_pl.R |only oceanis-1.8.4/oceanis/DESCRIPTION | 22 oceanis-1.8.4/oceanis/MD5 | 215 - oceanis-1.8.4/oceanis/NAMESPACE | 5 oceanis-1.8.4/oceanis/NEWS | 44 oceanis-1.8.4/oceanis/R/add_legende_classes.R | 364 +- oceanis-1.8.4/oceanis/R/add_legende_joignantes.R | 62 oceanis-1.8.4/oceanis/R/add_legende_ronds.R | 105 oceanis-1.8.4/oceanis/R/add_legende_saphirs.R | 65 oceanis-1.8.4/oceanis/R/add_legende_typo.R | 133 oceanis-1.8.4/oceanis/R/affiche_palette.R |only oceanis-1.8.4/oceanis/R/balises_qgis.R | 184 + oceanis-1.8.4/oceanis/R/calcul_bornes.R | 301 +- oceanis-1.8.4/oceanis/R/construction_lignes_legende.R | 37 oceanis-1.8.4/oceanis/R/construction_ronds_legende.R | 13 oceanis-1.8.4/oceanis/R/export_projet_qgis_classes.R | 16 oceanis-1.8.4/oceanis/R/export_projet_qgis_classes_ronds.R | 53 oceanis-1.8.4/oceanis/R/export_projet_qgis_fleches_joignantes.R | 30 oceanis-1.8.4/oceanis/R/export_projet_qgis_fleches_saphirs.R | 24 oceanis-1.8.4/oceanis/R/export_projet_qgis_oursins.R | 13 oceanis-1.8.4/oceanis/R/export_projet_qgis_ronds.R | 43 oceanis-1.8.4/oceanis/R/export_projet_qgis_ronds_classes.R | 102 oceanis-1.8.4/oceanis/R/export_projet_qgis_typo.R | 16 oceanis-1.8.4/oceanis/R/export_qgis_classes.R | 4 oceanis-1.8.4/oceanis/R/export_qgis_classes_ronds.R | 9 oceanis-1.8.4/oceanis/R/export_qgis_joignantes.R | 4 oceanis-1.8.4/oceanis/R/export_qgis_oursins.R | 4 oceanis-1.8.4/oceanis/R/export_qgis_ronds.R | 11 oceanis-1.8.4/oceanis/R/export_qgis_ronds_classes.R | 9 oceanis-1.8.4/oceanis/R/export_qgis_saphirs.R | 4 oceanis-1.8.4/oceanis/R/export_qgis_typo.R | 4 oceanis-1.8.4/oceanis/R/extract_fond_leaflet_classes.R | 9 oceanis-1.8.4/oceanis/R/extract_fond_leaflet_classes_ronds.R | 31 oceanis-1.8.4/oceanis/R/extract_fond_leaflet_joignantes.R | 15 oceanis-1.8.4/oceanis/R/extract_fond_leaflet_ronds.R | 44 oceanis-1.8.4/oceanis/R/extract_fond_leaflet_ronds_classes.R | 46 oceanis-1.8.4/oceanis/R/extract_fond_leaflet_saphirs.R | 19 oceanis-1.8.4/oceanis/R/extract_fond_leaflet_typo.R | 11 oceanis-1.8.4/oceanis/R/fleche_legende.R |only oceanis-1.8.4/oceanis/R/k_joignantes.R | 3 oceanis-1.8.4/oceanis/R/k_saphir.R | 11 oceanis-1.8.4/oceanis/R/leafletVerifParamClasses.R | 2 oceanis-1.8.4/oceanis/R/leafletVerifParamClassesRonds.R | 2 oceanis-1.8.4/oceanis/R/leafletVerifParamRondsClasses.R | 2 oceanis-1.8.4/oceanis/R/leaflet_classes.R | 94 oceanis-1.8.4/oceanis/R/leaflet_classes_ronds.R | 97 oceanis-1.8.4/oceanis/R/leaflet_joignantes.R | 18 oceanis-1.8.4/oceanis/R/leaflet_oursins.R | 14 oceanis-1.8.4/oceanis/R/leaflet_ronds.R | 160 - oceanis-1.8.4/oceanis/R/leaflet_ronds_classes.R | 98 oceanis-1.8.4/oceanis/R/leaflet_saphirs.R | 18 oceanis-1.8.4/oceanis/R/leaflet_typo.R | 17 oceanis-1.8.4/oceanis/R/oceanis-package.R | 166 - oceanis-1.8.4/oceanis/R/plot_classes.R | 123 oceanis-1.8.4/oceanis/R/plot_classes_ronds.R | 128 oceanis-1.8.4/oceanis/R/plot_joignantes.R | 6 oceanis-1.8.4/oceanis/R/plot_ronds.R | 19 oceanis-1.8.4/oceanis/R/plot_ronds_classes.R | 125 oceanis-1.8.4/oceanis/R/plot_saphirs.R | 6 oceanis-1.8.4/oceanis/R/plot_typo_symboles.R | 2 oceanis-1.8.4/oceanis/R/recup_palette.R | 137 - oceanis-1.8.4/oceanis/R/set_bordure_ronds.R | 8 oceanis-1.8.4/oceanis/R/set_couleur_classes.R | 76 oceanis-1.8.4/oceanis/R/set_couleur_joignantes.R | 2 oceanis-1.8.4/oceanis/R/set_couleur_ronds.R | 2 oceanis-1.8.4/oceanis/R/set_couleur_saphirs.R | 2 oceanis-1.8.4/oceanis/R/shiny_classes.R | 1082 ++++---- oceanis-1.8.4/oceanis/R/shiny_classes_ronds.R | 1350 +++++----- oceanis-1.8.4/oceanis/R/shiny_joignantes.R | 372 +- oceanis-1.8.4/oceanis/R/shiny_oursins.R | 129 oceanis-1.8.4/oceanis/R/shiny_ronds.R | 573 ++-- oceanis-1.8.4/oceanis/R/shiny_ronds_classes.R | 1326 +++++---- oceanis-1.8.4/oceanis/R/shiny_saphirs.R | 634 ++-- oceanis-1.8.4/oceanis/R/shiny_typo.R | 442 ++- oceanis-1.8.4/oceanis/R/sysdata.rda |only oceanis-1.8.4/oceanis/README.md | 28 oceanis-1.8.4/oceanis/data/com_dep_13_30_83_84.rda |binary oceanis-1.8.4/oceanis/data/depm.rda |binary oceanis-1.8.4/oceanis/data/fram.rda |binary oceanis-1.8.4/oceanis/data/palettes_insee.rda |only oceanis-1.8.4/oceanis/data/regm.rda |binary oceanis-1.8.4/oceanis/inst/doc/integration_shiny.html | 4 oceanis-1.8.4/oceanis/inst/doc/oceanis.R | 20 oceanis-1.8.4/oceanis/inst/doc/oceanis.Rmd | 20 oceanis-1.8.4/oceanis/inst/doc/oceanis.html | 196 - oceanis-1.8.4/oceanis/inst/extdata/dep_francemetro_2018.dbf |binary oceanis-1.8.4/oceanis/inst/extdata/dep_francemetro_2018.prj | 2 oceanis-1.8.4/oceanis/inst/extdata/francemetro_2018.dbf |binary oceanis-1.8.4/oceanis/inst/extdata/francemetro_2018.prj | 2 oceanis-1.8.4/oceanis/inst/extdata/reg_francemetro_2018.dbf |binary oceanis-1.8.4/oceanis/inst/extdata/reg_francemetro_2018.prj | 2 oceanis-1.8.4/oceanis/man/affiche_palette.Rd |only oceanis-1.8.4/oceanis/man/donnees.Rd | 53 oceanis-1.8.4/oceanis/man/leaflet_.Rd | 27 oceanis-1.8.4/oceanis/man/plot_.Rd | 21 oceanis-1.8.4/oceanis/man/recup_palette.Rd | 76 oceanis-1.8.4/oceanis/man/set_couleur_.Rd | 59 oceanis-1.8.4/oceanis/vignettes/images/export_qgis_canevas.PNG |binary oceanis-1.8.4/oceanis/vignettes/images/export_qgis_mep.PNG |binary oceanis-1.8.4/oceanis/vignettes/images/readme_leaflet_fj.png |binary oceanis-1.8.4/oceanis/vignettes/images/readme_leaflet_rp_ac.png |binary oceanis-1.8.4/oceanis/vignettes/images/readme_leaflet_typo.png |binary oceanis-1.8.4/oceanis/vignettes/images/readme_leaflet_typo_symbole.png |binary oceanis-1.8.4/oceanis/vignettes/images/readme_plot_ac_rp.png |binary oceanis-1.8.4/oceanis/vignettes/images/readme_shiny_ac_rp.png |binary oceanis-1.8.4/oceanis/vignettes/images/readme_shiny_fs.png |binary oceanis-1.8.4/oceanis/vignettes/images/shiny_ac_rp.PNG |binary oceanis-1.8.4/oceanis/vignettes/images/shiny_export_qgis.PNG |binary oceanis-1.8.4/oceanis/vignettes/images/shiny_fj.PNG |binary oceanis-1.8.4/oceanis/vignettes/oceanis.Rmd | 20 113 files changed, 5574 insertions(+), 4273 deletions(-)
Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Diff between sasLM versions 0.6.3 dated 2021-09-18 and 0.6.4 dated 2021-11-25
sasLM-0.6.3/sasLM/inst/doc/Report-Different-Simplest2109171802.pdf |only sasLM-0.6.3/sasLM/inst/doc/Report-NOT-OKs2109171810.pdf |only sasLM-0.6.3/sasLM/inst/doc/Validation-Report-ANOVA-2109171803.pdf |only sasLM-0.6.3/sasLM/inst/doc/Validation-Report-GLM-2109171806.pdf |only sasLM-0.6.4/sasLM/DESCRIPTION | 6 +- sasLM-0.6.4/sasLM/MD5 | 16 +++--- sasLM-0.6.4/sasLM/R/G2SWEEP.R | 25 ++++++---- sasLM-0.6.4/sasLM/inst/NEWS.Rd | 6 ++ sasLM-0.6.4/sasLM/inst/doc/Report-Different-Simplest2111251803.pdf |only sasLM-0.6.4/sasLM/inst/doc/Report-NOT-OKs2111251804.pdf |only sasLM-0.6.4/sasLM/inst/doc/Validation-Report-ANOVA-2111251805.pdf |only sasLM-0.6.4/sasLM/inst/doc/Validation-Report-GLM-2111251808.pdf |only sasLM-0.6.4/sasLM/inst/doc/sasLM-manual.pdf |binary 13 files changed, 32 insertions(+), 21 deletions(-)
Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure
learning and causal inference using graphical models. The main algorithms
for causal structure learning are PC (for observational data without hidden
variables), FCI and RFCI (for observational data with hidden variables),
and GIES (for a mix of data from observational studies
(i.e. observational data) and data from experiments
involving interventions (i.e. interventional data) without hidden
variables). For causal inference the IDA algorithm, the Generalized
Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC)
and some related functions are implemented. Functions for incorporating
background knowledge are provided.
Author: Markus Kalisch [aut, cre],
Alain Hauser [aut],
Martin Maechler [aut],
Diego Colombo [ctb],
Doris Entner [ctb],
Patrik Hoyer [ctb],
Antti Hyttinen [ctb],
Jonas Peters [ctb],
Nicoletta Andri [ctb],
Emilija Perkovic [ctb],
Preetam Nandy [ctb],
Philipp Ruetimann [ctb],
Daniel Stekhoven [ctb],
Manuel Schuerch [ctb],
Marco Eigenmann [ctb],
Leonard Henckel [ctb],
Joris Mooij [ctb]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>
Diff between pcalg versions 2.7-3 dated 2021-06-01 and 2.7-4 dated 2021-11-25
pcalg-2.7-3/pcalg/inst/doc/pcalgDoc.R |only pcalg-2.7-3/pcalg/inst/doc/pcalgDoc.Rnw |only pcalg-2.7-3/pcalg/inst/doc/pcalgDoc.pdf |only pcalg-2.7-3/pcalg/vignettes/Figure1FAT.pdf |only pcalg-2.7-3/pcalg/vignettes/Figure2FAT.pdf |only pcalg-2.7-3/pcalg/vignettes/Mybib.bib |only pcalg-2.7-3/pcalg/vignettes/jsslogo.jpg |only pcalg-2.7-3/pcalg/vignettes/pcalgDoc.Rnw |only pcalg-2.7-4/pcalg/DESCRIPTION | 8 ++-- pcalg-2.7-4/pcalg/MD5 | 27 ++++++--------- pcalg-2.7-4/pcalg/build/partial.rdb |only pcalg-2.7-4/pcalg/build/vignette.rds |binary pcalg-2.7-4/pcalg/inst/CITATION | 3 - pcalg-2.7-4/pcalg/inst/doc/vignette2018.pdf |binary pcalg-2.7-4/pcalg/man/fci.Rd | 2 - pcalg-2.7-4/pcalg/man/ida.Rd | 2 - pcalg-2.7-4/pcalg/man/pc.Rd | 2 - pcalg-2.7-4/pcalg/vignettes/auto |only pcalg-2.7-4/pcalg/vignettes/vignette2018-concordance.tex |only 19 files changed, 20 insertions(+), 24 deletions(-)
Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for
Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F.Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>. The suggested PCMBaseCpp package (which significantly speeds up the likelihood calculations) can be obtained from <https://github.com/venelin/PCMBaseCpp/>.
Author: Krzysztof Bartoszek [cre, aut],
John Clarke [ctb],
Jesualdo Fuentes-Gonzalez [ctb],
Jason Pienaar [ctb]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>
Diff between mvSLOUCH versions 2.7.2 dated 2021-11-10 and 2.7.3 dated 2021-11-25
DESCRIPTION | 8 ++--- MD5 | 10 +++--- R/modelparamstransform.R | 54 ++++++++++++++++++------------------- build/vignette.rds |binary inst/doc/mvSLOUCH_Carnivorans.html | 33 ++++++---------------- man/mvSLOUCH-package.Rd | 4 +- 6 files changed, 47 insertions(+), 62 deletions(-)
Title: Bootstrap Unit Root Tests
Description: Set of functions to perform various bootstrap unit root tests for both individual time series
(including augmented Dickey-Fuller test and union tests), multiple time series and panel data; see
Palm, Smeekes and Urbain (2008) <doi:10.1111/j.1467-9892.2007.00565.x>,
Palm, Smeekes and Urbain (2011) <doi:10.1016/j.jeconom.2010.11.010>,
Moon and Perron (2012) <doi:10.1016/j.jeconom.2012.01.008>,
Smeekes and Taylor (2012) <doi:10.1017/S0266466611000387> and
Smeekes (2015) <doi:10.1111/jtsa.12110> for key references.
Author: Stephan Smeekes [cre, aut] (<https://orcid.org/0000-0002-0157-639X>),
Ines Wilms [aut]
Maintainer: Stephan Smeekes <s.smeekes@maastrichtuniversity.nl>
Diff between bootUR versions 0.4.1 dated 2021-11-06 and 0.4.2 dated 2021-11-25
DESCRIPTION | 6 - MD5 | 30 ++++----- NEWS.md | 13 +++- R/adftest.R | 20 +++++- R/auxiliary.R | 52 ++++++++++++---- R/bootURtests.R | 115 +++++++++++++++++++++++++----------- README.md | 21 +++--- build/vignette.rds |binary inst/doc/bootUR-intro.html | 37 +++++------ man/boot_adf.Rd | 3 man/boot_fdr.Rd | 3 man/boot_panel.Rd | 3 man/boot_sqt.Rd | 5 - man/boot_union.Rd | 3 man/boot_ur.Rd | 3 tests/testthat/test_replicability.R | 32 ++++++---- 16 files changed, 233 insertions(+), 113 deletions(-)
Title: Binary R server
Description: Rserve acts as a socket server (TCP/IP or local sockets)
which allows binary requests to be sent to R. Every
connection has a separate workspace and working
directory. Client-side implementations are available
for popular languages such as C/C++ and Java, allowing
any application to use facilities of R without the need of
linking to R code. Rserve supports remote connection,
user authentication and file transfer. A simple R client
is included in this package as well.
Author: Simon Urbanek <Simon.Urbanek@r-project.org>
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>
Diff between Rserve versions 1.8-9 dated 2021-11-05 and 1.8-10 dated 2021-11-25
Rserve-1.8-10/Rserve/DESCRIPTION | 6 +-- Rserve-1.8-10/Rserve/MD5 | 25 ++++++-------- Rserve-1.8-10/Rserve/NEWS | 30 ++++++++++++++++- Rserve-1.8-10/Rserve/configure | 10 +++-- Rserve-1.8-10/Rserve/configure.ac | 7 ++- Rserve-1.8-10/Rserve/inst/java/REngine.jar |binary Rserve-1.8-10/Rserve/inst/java/Rserve.jar |binary Rserve-1.8-10/Rserve/src/Makevars.in | 7 ++- Rserve-1.8-10/Rserve/src/Makevars.win | 2 - Rserve-1.8-10/Rserve/src/Rserv.c | 23 +++++++++---- Rserve-1.8-10/Rserve/src/Rsrv.h | 2 - Rserve-1.8-10/Rserve/src/client/cxx/Rsrv.h | 2 - Rserve-1.8-10/Rserve/src/client/java/Rserve/Rserve.jar |binary Rserve-1.8-9/Rserve/src/client/java/README.md |only 14 files changed, 80 insertions(+), 34 deletions(-)
Title: Model Response Styles in Partial Credit Models
Description: Implementation of PCMRS (Partial Credit Model with Response Styles) as proposed in by Tutz, Schauberger and Berger (2018) <doi:10.1177/0146621617748322> . PCMRS is an extension of the regular partial credit model. PCMRS allows for an additional person parameter that characterizes the response style of the person. By taking the response style into account, the estimates of the item parameters are less biased than in partial credit models.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>
Diff between PCMRS versions 0.1-2 dated 2020-06-11 and 0.1-3 dated 2021-11-25
DESCRIPTION | 10 +++++----- MD5 | 16 ++++++++-------- R/PCMRS.R | 31 +++++++++++++++++++++++-------- R/RcppExports.R | 8 ++++---- R/person.posterior.R | 5 ++--- man/PCMRS.Rd | 14 ++++++++++++-- man/person.posterior.Rd | 5 ++--- src/RcppExports.cpp | 23 +++++++++++++++-------- src/cppEPCM.cpp | 21 ++++++++++++++++----- 9 files changed, 87 insertions(+), 46 deletions(-)
Title: Tool for Secure Shipment of Content
Description: Convenient tools for exchanging files securely from within R. By
encrypting the content safe passage of files (shipment) can be provided by
common but insecure carriers such as ftp and email. Based on asymmetric
cryptography no management of shared secrets is needed to make a secure
shipment as long as authentic public keys are available. Public keys used
for secure shipments may also be obtained from external providers as part of
the overall process. Transportation of files will require that relevant
services such as ftp and email servers are available.
Author: Are Edvardsen [aut, cre] (<https://orcid.org/0000-0002-5210-3656>)
Maintainer: Are Edvardsen <biorakel@gmail.com>
Diff between sship versions 0.7.1 dated 2021-09-08 and 0.7.3 dated 2021-11-25
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 8 ++++++++ R/dec.R | 2 +- R/enc.R | 35 +++++++++++++++++++++++------------ R/misc.R | 2 +- R/sship.R | 12 +++++++----- README.md | 2 +- 8 files changed, 52 insertions(+), 31 deletions(-)
Title: Bayesian Methods in the Analysis of Zero-Inflated Poisson Model
Description: Implementation of zero-inflated Poisson models under Bayesian framework using data augmentation as discussed in Chapter 5 of Zhang (2020) <https://hdl.handle.net/10012/16378>. This package is constructed in accommodating four different scenarios: the general scenario, the scenario with measurement error in responses, the external validation scenario, and the internal validation scenario.
Author: Qihuang Zhang [aut, cre, cph],
Grace Y. Yi [aut, ths]
Maintainer: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>
Diff between ZIPBayes versions 1.0.1 dated 2021-09-28 and 1.0.2 dated 2021-11-25
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- man/ZIP.Rd | 6 +++--- man/ZIPExt.Rd | 20 ++++++++++---------- man/ZIPInt.Rd | 20 ++++++++++---------- man/ZIPMErr.Rd | 10 +++++----- man/datasim.Rd | 2 +- man/datasimExt.Rd | 2 +- man/datasimInt.Rd | 2 +- 9 files changed, 42 insertions(+), 42 deletions(-)
Title: Single Species, Multispecies, and Integrated Spatial Occupancy
Models
Description: Fits single species, multispecies, and integrated non-spatial and spatial occupancy models using Markov Chain Monte Carlo (MCMC). Models are fit using Polya-Gamma data augmentation detailed in Polson, Scott, and Windle (2013) <doi:10.1080/01621459.2013.829001>. Spatial models are fit using either Gaussian processes or Nearest Neighbor Gaussian Processes (NNGP) for large spatial datasets. Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2020) <arXiv:2001.09111>. Provides functionality for data integration of multiple single species occupancy data sets using a joint likelihood framework. Details on data integration are given in Miller, Pacifici, Sanderlin, and Reich (2019) <doi:10.1111/2041-210X.13110>. Details on single species and multispecies models are found in MacKenzie, Nichols, Lachman, Droege, Royle, and Langtimm (2002) <doi:10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2> and Dorazio and Royle <doi:10.1198/016214505000000015>, respectively.
Author: Jeffrey Doser [aut, cre],
Andrew Finley [aut]
Maintainer: Jeffrey Doser <doserjef@msu.edu>
Diff between spOccupancy versions 0.1.2 dated 2021-11-11 and 0.1.3 dated 2021-11-25
DESCRIPTION | 6 +- MD5 | 44 ++++++++++----------- README.md | 97 +++++++++++++++++++++++++----------------------- build/partial.rdb |binary src/PGOcc.cpp | 4 - src/PGOccREBoth.cpp | 4 - src/PGOccREDet.cpp | 4 - src/PGOccREOcc.cpp | 4 - src/intPGOcc.cpp | 4 - src/msPGOcc.cpp | 4 - src/msPGOccREBoth.cpp | 2 src/msPGOccREDet.cpp | 2 src/msPGOccREOcc.cpp | 2 src/spIntPGOcc.cpp | 2 src/spIntPGOccNNGP.cpp | 2 src/spMsPGOcc.cpp | 2 src/spMsPGOccNNGP.cpp | 2 src/spMsPGOccNNGPRE.cpp | 2 src/spMsPGOccRE.cpp | 2 src/spPGOcc.cpp | 2 src/spPGOccNNGP.cpp | 2 src/spPGOccNNGPRE.cpp | 2 src/spPGOccRE.cpp | 2 23 files changed, 101 insertions(+), 96 deletions(-)
Title: Working with Rotation Data
Description: Tools for working with rotational data, including
simulation from the most commonly used distributions on SO(3),
methods for different Bayes, mean and median type estimators for
the central orientation of a sample, confidence/credible
regions for the central orientation based on those estimators and
a novel visualization technique for rotation data. Most recently,
functions to identify potentially discordant (outlying) values
have been added. References: Bingham, Melissa A. and Nordman, Dan J. and Vardeman, Steve B. (2009) <doi:10.1198/jasa.2009.ap08741>,
Bingham, Melissa A and Vardeman, Stephen B and Nordman, Daniel J (2009),
Bingham, Melissa A and Nordman, Daniel J and Vardeman, Stephen B (2010) <doi:10.1016/j.csda.2009.11.020>,
Leon, C.A. and Masse, J.C. and Rivest, L.P. (2006) <doi:10.1016/j.jmva.2005.03.009>,
Hartley, R and Aftab, K and Trumpf, J. (2011) <doi:10.1109/CVPR.2011.5995745>,
Stanfill, Bryan and Genschel, Ulrike and Hofmann, Heike (2013) <doi:10.1080/00401706.2013.826145>,
Maonton, Jonathan (2004) <doi:10.1109/ICARCV.2004.1469774>,
Mardia, KV and Jupp, PE (2000, ISBN:9780471953333),
Rancourt, D. and Rivest, L.P. and Asselin, J. (2000) <doi:10.1111/1467-9876.00180>,
Chang, Ted and Rivest, Louis-Paul (2001),
Fisher, Nicholas I. (1996, ISBN:0521568900).
Author: Bryan Stanfill [aut, cre],
Heike Hofmann [aut],
Ulrike Genschel [aut],
Aymeric Stamm [ctb] (<https://orcid.org/0000-0002-8725-3654>),
Luciano Selzer [ctb]
Maintainer: Bryan Stanfill <bstanfill2003@gmail.com>
Diff between rotations versions 1.6.2 dated 2021-03-12 and 1.6.3 dated 2021-11-25
DESCRIPTION | 12 ++++++------ MD5 | 12 ++++++------ NEWS | 8 ++++++++ build/vignette.rds |binary inst/doc/rotations-intro.pdf |binary src/RcppExports.cpp | 5 +++++ tests/testthat/test_arithmetic.R | 19 ++++++++++--------- 7 files changed, 35 insertions(+), 21 deletions(-)
Title: Quiver Plots for 'ggplot2'
Description: An extension of 'ggplot2' to provide quiver plots to visualise vector fields.
This functionality is implemented using a geom to produce a new graphical layer, which
allows aesthetic options. This layer can be overlaid on a map to improve visualisation
of mapped data.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Diff between ggquiver versions 0.3.0 dated 2021-10-29 and 0.3.1 dated 2021-11-25
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 3 +++ R/stat-quiver.r | 2 +- man/ggquiver-package.Rd | 1 + 5 files changed, 12 insertions(+), 8 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-10-26 0.0.1
Title: Random Forest with Canonical Correlation Analysis
Description: Random Forest with Canonical Correlation Analysis (RFCCA) is a
random forest method for estimating the canonical correlations between two
sets of variables depending on the subject-related covariates. The trees are
built with a splitting rule specifically designed to partition the data to
maximize the canonical correlation heterogeneity between child nodes. The
method is described in Alakus et al. (2021) <doi:10.1093/bioinformatics/btab158>. RFCCA uses
'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the
version 2.9.3. The custom splitting rule feature is utilised to apply the
proposed splitting rule.
Author: Cansu Alakus [aut, cre],
Denis Larocque [aut],
Aurelie Labbe [aut],
Hemant Ishwaran [ctb] (Author of included randomForestSRC codes),
Udaya B. Kogalur [ctb] (Author of included randomForestSRC codes)
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Diff between RFCCA versions 1.0.6 dated 2021-09-14 and 1.0.7 dated 2021-11-25
DESCRIPTION | 10 ++-- MD5 | 31 ++++++------ NEWS.md | 5 ++ R/global.significance.R | 29 ++++++++--- R/rfcca-package.R | 8 +-- R/rfcca.R | 21 ++++++-- R/rfcca.utilities.R | 12 ++-- README.md | 2 configure | 18 +++---- configure.ac | 2 inst/CITATION |only inst/doc/RFCCA.Rmd | 4 - inst/doc/RFCCA.html | 109 ++++++++++++++++----------------------------- man/RFCCA-package.Rd | 8 +-- man/global.significance.Rd | 10 +++- man/rfcca.Rd | 8 +++ vignettes/RFCCA.Rmd | 4 - 17 files changed, 149 insertions(+), 132 deletions(-)
Title: Interval-Censored Sequence Kernel Association Test
Description: Implements the Interval-Censored Sequence Kernel Association (ICSKAT) test for testing the association between interval-censored time-to-event outcomes and groups of single nucleotide polymorphisms (SNPs). Interval-censored time-to-event data occur when the event time is not known exactly but can be deduced to fall within a given interval. For example, some medical conditions like bone mineral density deficiency are generally only diagnosed at clinical visits. If a patient goes for clinical checkups yearly and is diagnosed at, say, age 30, then the onset of the deficiency is only known to fall between the date of their age 29 checkup and the date of the age 30 checkup. Interval-censored data include right- and left-censored data as special cases. This package also implements the interval-censored Burden test and the ICSKATO test, which is the optimal combination of the ICSKAT and Burden tests. Please see the vignette for a quickstart guide.
Author: Ryan Sun [aut, cre],
Liang Zhu [aut]
Maintainer: Ryan Sun <ryansun.work@gmail.com>
Diff between ICSKAT versions 0.1.0 dated 2021-03-04 and 0.2.0 dated 2021-11-25
DESCRIPTION | 9 ++++----- MD5 | 14 ++++++++------ NAMESPACE | 4 +++- R/ACAT.R |only R/ICSKATO.R | 30 +++++++++++++++++++++++------- build/vignette.rds |binary inst/doc/ICSKAT_tutorial.html | 8 ++++---- man/ACAT.Rd |only man/ICSKATO.Rd | 5 ++++- 9 files changed, 46 insertions(+), 24 deletions(-)
Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large
memories. Implemented with super fast gigabyte-level multi-threaded
reading/writing via 'OpenMP'. Supports multiple non-character data
types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Diff between filearray versions 0.1.1 dated 2021-09-19 and 0.1.2 dated 2021-11-25
DESCRIPTION | 8 MD5 | 49 +-- NEWS.md | 9 R/RcppExports.R | 2 R/class_filearray.R | 44 ++ R/filearray-package.R | 68 ++++ R/header.R | 36 ++ R/load.R | 11 R/methods.R | 42 +- R/misc-docs.R | 1 build/vignette.rds |binary man/FileArray-class.Rd | 1 man/S3-filearray.Rd | 14 man/filearray.Rd | 10 src/RcppExports.cpp | 4 src/conversion.h | 5 src/load.cpp | 642 ++++++++++++++++++++++++++++------------- src/load.h | 2 src/save.cpp | 41 ++ src/utils.cpp | 143 ++++++--- tests/testthat.R | 1 tests/testthat/test-collapse.R | 19 + tests/testthat/test-cpp.R | 19 - tests/testthat/test-dimnames.R |only tests/testthat/test-map.R | 4 tests/testthat/test-methods.R | 6 26 files changed, 855 insertions(+), 326 deletions(-)
Title: Automated Moderated Nonlinear Factor Analysis Using 'M-plus'
Description: Automated generation, running, and interpretation of moderated nonlinear factor analysis models for obtaining scores from observed variables, using the method described by Gottfredson and colleagues (2019) <doi:10.1016/j.addbeh.2018.10.031>. This package creates M-plus input files which may be run iteratively to test two different types of covariate effects on items: (1) latent variable impact (both mean and variance); and (2) differential item functioning. After sequentially testing for all effects, it also creates a final model by including all significant effects after adjusting for multiple comparisons. Finally, the package creates a scoring model which uses the final values of parameter estimates to generate latent variable scores. \n\n This package generates TEMPLATES for M-plus inputs, which can and should be inspected, altered, and run by the user. In addition to being presented without warranty of any kind, the package is provided under the assumption that everyone who uses it is reading, interpreting, understanding, and altering every M-plus input and output file. There is no one right way to implement moderated nonlinear factor analysis, and this package exists solely to save users time as they generate M-plus syntax according to their own judgment.
Author: Veronica Cole [aut, cre],
Nisha Gottfredson [aut],
Michael Giordano [aut],
Isabella Stallworthy [aut],
Meriah DeJoseph [aut],
Robin Sifre [aut],
Tim Janssen [ctb]
Maintainer: Veronica Cole <colev@wfu.edu>
Diff between aMNLFA versions 1.0.0 dated 2021-06-25 and 1.1.0 dated 2021-11-25
aMNLFA-1.0.0/aMNLFA/R/aMNLFA_scoreplots.R |only aMNLFA-1.0.0/aMNLFA/inst/extdata/CFA_practice.inp |only aMNLFA-1.0.0/aMNLFA/inst/extdata/mnlfa_example_data.rds |only aMNLFA-1.0.0/aMNLFA/man/aMNLFA.scoreplots.Rd |only aMNLFA-1.1.0/aMNLFA/DESCRIPTION | 31 aMNLFA-1.1.0/aMNLFA/MD5 | 123 - aMNLFA-1.1.0/aMNLFA/NAMESPACE | 4 aMNLFA-1.1.0/aMNLFA/R/aMNLFA_final.R | 80 aMNLFA-1.1.0/aMNLFA/R/aMNLFA_initial.R | 126 - aMNLFA-1.1.0/aMNLFA/R/aMNLFA_itemplots.R | 9 aMNLFA-1.1.0/aMNLFA/R/aMNLFA_object.R | 9 aMNLFA-1.1.0/aMNLFA/R/aMNLFA_prune.R | 20 aMNLFA-1.1.0/aMNLFA/R/aMNLFA_sample.R | 71 aMNLFA-1.1.0/aMNLFA/R/aMNLFA_scores.R | 59 aMNLFA-1.1.0/aMNLFA/R/aMNLFA_simultaneous.R | 128 - aMNLFA-1.1.0/aMNLFA/R/data.R | 96 aMNLFA-1.1.0/aMNLFA/R/fixPath.R |only aMNLFA-1.1.0/aMNLFA/R/write_inp_file.R |only aMNLFA-1.1.0/aMNLFA/R/zzz.R |only aMNLFA-1.1.0/aMNLFA/inst/extdata/calibration.dat |only aMNLFA-1.1.0/aMNLFA/inst/extdata/header.txt | 2 aMNLFA-1.1.0/aMNLFA/inst/extdata/header2.txt | 2 aMNLFA-1.1.0/aMNLFA/inst/extdata/intercept_dif_from_aMNLFA_final.csv |only aMNLFA-1.1.0/aMNLFA/inst/extdata/lambda_dif_from_aMNLFA_final.csv |only aMNLFA-1.1.0/aMNLFA/inst/extdata/meanimpactscript.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/meanimpactscript.out | 180 + aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_1.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_10.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_11.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_12.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_2.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_3.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_4.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_5.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_6.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_7.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_8.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_BIN_9.inp | 3 aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_1.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_10.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_11.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_12.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_2.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_3.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_4.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_5.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_6.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_7.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_8.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/measinvarscript_bin_9.out | 201 +- aMNLFA-1.1.0/aMNLFA/inst/extdata/round2calibration.dgm | 72 aMNLFA-1.1.0/aMNLFA/inst/extdata/round2calibration.inp | 153 + aMNLFA-1.1.0/aMNLFA/inst/extdata/round2calibration.out | 535 +++-- aMNLFA-1.1.0/aMNLFA/inst/extdata/round3calibration.dgm |only aMNLFA-1.1.0/aMNLFA/inst/extdata/round3calibration.inp | 151 + aMNLFA-1.1.0/aMNLFA/inst/extdata/round3calibration.out | 768 ++----- aMNLFA-1.1.0/aMNLFA/inst/extdata/scores.dat | 1000 +++++----- aMNLFA-1.1.0/aMNLFA/inst/extdata/scoring.dgm |only aMNLFA-1.1.0/aMNLFA/inst/extdata/scoring.inp | 97 aMNLFA-1.1.0/aMNLFA/inst/extdata/scoring.out | 444 ++-- aMNLFA-1.1.0/aMNLFA/inst/extdata/srdata.dat |only aMNLFA-1.1.0/aMNLFA/inst/extdata/varimpactscript.inp | 15 aMNLFA-1.1.0/aMNLFA/inst/extdata/varimpactscript.out | 192 + aMNLFA-1.1.0/aMNLFA/man/aMNLFA.final.Rd | 5 aMNLFA-1.1.0/aMNLFA/man/aMNLFA.initial.Rd | 6 aMNLFA-1.1.0/aMNLFA/man/aMNLFA.itemplots.Rd | 5 aMNLFA-1.1.0/aMNLFA/man/aMNLFA.object.Rd | 5 aMNLFA-1.1.0/aMNLFA/man/aMNLFA.simultaneous.Rd | 4 aMNLFA-1.1.0/aMNLFA/man/fixPath.Rd |only aMNLFA-1.1.0/aMNLFA/man/write.inp.file.Rd |only 70 files changed, 3702 insertions(+), 3141 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-11-11 0.1.0