Title: Pedigree-based Relatedness Coefficients
Description: Recursive algorithms for computing various relatedness coefficients,
including pairwise kinship, kappa and identity coefficients. Both autosomal
and X-linked coefficients are computed. Founders are allowed to be inbred,
enabling construction of any given kappa coefficients (Vigeland (2020)
<doi:10.1007/s00285-020-01505-x>). In addition to the standard pairwise
coefficients, ribd also computes a range of lesser-known coefficients, including
generalised kinship coefficients (Karigl (1981)
<doi:10.1111/j.1469-1809.1981.tb00341.x>; Weeks and Lange (1988)
<https:www.ncbi.nlm.nih.gov/pmc/articles/PMC1715269>), two-locus coefficients
(Thompson (1988) <doi:10.1093/imammb/5.4.261>) and multi-person coefficients.
This package is part of the ped suite, a collection of packages for pedigree
analysis in R.
Author: Magnus Dehli Vigeland [aut, cre]
(<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Diff between ribd versions 1.1.0 dated 2020-06-19 and 1.2.0 dated 2020-08-01
DESCRIPTION | 27 ++++++----- MD5 | 49 +++++++++++---------- NAMESPACE | 15 ++++++ NEWS.md | 9 +++ R/constructPedigree.R | 75 +++++++++++++++++++-------------- R/ibdDraw.R |only R/ibdTriangle.R |only R/inbreeding.R | 7 ++- R/kappaIBD.R | 14 +++--- R/kinshipX.R | 2 R/twoLocusIBD.R | 23 +++++----- R/twoLocusKinship.R | 16 ++++--- R/twoLocusPlot.R | 35 +++++++++------ README.md | 49 +++++++++------------ build/partial.rdb |binary man/constructPedigree.Rd | 28 +++++++----- man/figures/README-sibs-1.png |binary man/figures/README-sibs-extended-1.png |binary man/ibdDraw.Rd |only man/ibdTriangle.Rd |only man/inbreeding.Rd | 7 ++- man/kappaIBD.Rd | 14 +++--- man/showInTriangle.Rd |only man/twoLocusIBD.Rd | 23 +++++----- man/twoLocusKinship.Rd | 15 ++++-- man/twoLocusPlot.Rd | 35 +++++++++------ tests/testthat/test-construct-kappa.R | 2 tests/testthat/test-kinship.R | 14 +++--- 28 files changed, 277 insertions(+), 182 deletions(-)
Title: Select and Download Climate Data from 'DWD' (German Weather
Service)
Description: Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see
<https://www.dwd.de/EN/climate_environment/cdc/cdc.html> for more information).
Choose observational time series from meteorological stations with 'selectDWD()'.
Find raster data from radar and interpolation according to <https://bookdown.org/brry/rdwd/raster-data.html>.
Download (multiple) data sets with progress bars and no re-downloads through 'dataDWD()'.
Read both tabular observational data and binary gridded datasets with 'readDWD()'.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>
Diff between rdwd versions 1.3.1 dated 2020-02-18 and 1.4.0 dated 2020-08-01
DESCRIPTION | 21 - MD5 | 153 +++++----- NAMESPACE | 8 NEWS | 85 ++++- R/addBorders.R | 67 ++-- R/checkIndex.R | 87 +++-- R/createIndex.R | 92 +++--- R/dataDWD.R | 146 +++++---- R/dirDWD.R | 12 R/fileType.R |only R/findID.R | 24 - R/index.R |only R/indexFTP.R | 106 ++++--- R/lldist.R | 13 R/localtestdir.R | 10 R/metaInfo.R | 4 R/nearbyStations.R | 20 - R/newColumnNames.R | 17 - R/plotRadar.R | 131 ++++++-- R/projectRasterDWD.R | 68 ++-- R/rdwd-package.R | 171 ----------- R/readDWD.R | 640 ++++++++++++++++++++----------------------- R/readMeta.R | 8 R/readVars.R | 42 +- R/runLocalTests.R | 169 +++++++++-- R/selectDWD.R | 262 +++++++++++------ R/updateIndexes.R | 47 +-- R/updateRdwd.R | 31 +- R/zzz.R |only README.md | 34 +- build/vignette.rds |binary data/fileIndex.rda |binary data/formatIndex.rda |binary data/geoIndex.rda |binary data/gridIndex.rda |binary data/metaIndex.rda |binary inst/doc/rdwd.Rmd | 7 inst/doc/rdwd.html | 36 ++ inst/extdata/EUR.rda |binary man/DEU.Rd | 20 - man/EUR.Rd | 18 - man/addBorders.Rd | 10 man/checkIndex.Rd | 22 + man/checkSuggestedPackage.Rd | 10 man/createIndex.Rd | 33 +- man/dataDWD.Rd | 89 +++-- man/dirDWD.Rd | 10 man/dwdbase.Rd | 21 - man/dwdparams.Rd | 8 man/fileType.Rd |only man/findID.Rd | 12 man/index.Rd | 47 +-- man/indexFTP.Rd | 68 ++-- man/lldist.Rd | 4 man/localtestdir.Rd | 4 man/nearbyStations.Rd | 12 man/newColumnNames.Rd | 9 man/plotRadar.Rd | 82 ++++- man/projectRasterDWD.Rd | 56 +-- man/rdwd.Rd | 24 - man/rdwdquiet.Rd |only man/readDWD.Rd | 129 ++------ man/readDWD.asc.Rd | 50 +-- man/readDWD.binary.Rd | 56 +-- man/readDWD.data.Rd | 32 +- man/readDWD.meta.Rd | 27 + man/readDWD.multia.Rd | 37 +- man/readDWD.nc.Rd | 55 ++- man/readDWD.radar.Rd | 43 +- man/readDWD.raster.Rd | 32 +- man/readDWD.stand.Rd | 30 +- man/readMeta.Rd | 8 man/readVars.Rd | 18 - man/release_questions.Rd | 22 - man/rowDisplay.Rd | 4 man/runLocalTests.Rd | 19 - man/selectDWD.Rd | 127 ++++---- man/updateIndexes.Rd | 30 +- man/updateRdwd.Rd | 20 - vignettes/rdwd.Rmd | 7 80 files changed, 2091 insertions(+), 1725 deletions(-)
Title: Regression using GMDH Algorithms
Description: Regression using GMDH algorithms from Prof. Alexey G. Ivakhnenko.
Group Method of Data Handling (GMDH), or polynomial neural networks, is a family of inductive algorithms
that performs gradually complicated polynomial models and selecting the best solution by an external criterion.
In other words, inductive GMDH algorithms give possibility finding automatically interrelations in data, and
selecting an optimal structure of model or network.
The package includes GMDH Combinatorial, GMDH MIA (Multilayered Iterative Algorithm), GMDH GIA (Generalized Iterative Algorithm) and GMDH Combinatorial with Active Neurons.
An introduction of GMDH algorithms:
Farlow, S.J. (1981): "The GMDH algorithm of Ivakhnenko", The American Statistician, 35(4), pp. 210-215. <doi:10.2307/2683292>
Ivakhnenko A.G. (1968): "The Group Method of Data Handling - A Rival of the Method of Stochastic Approximation", Soviet Automatic Control, 13(3), pp. 43-55.
Author: Manuel Villacorta Tilve
Maintainer: Manuel Villacorta Tilve <mvt.oviedo@gmail.com>
Diff between GMDHreg versions 0.2.0 dated 2019-07-26 and 0.2.1 dated 2020-08-01
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 4 ++++ R/combi.R | 15 ++++++++++----- R/combi.twice.R | 15 ++++++++++----- R/gia.R | 7 +++++++ R/mia.R | 7 +++++++ inst/doc/GMDHreg.html | 20 +++++++++++++------- 8 files changed, 62 insertions(+), 28 deletions(-)
Title: Create Easily Canvas in 'shiny' and 'RMarkdown' Documents
Description: Allows the user to implement easily canvas elements within a 'shiny' app or an 'RMarkdown' document.
The user can create shapes, images and text elements within the canvas which can also be used as a drawing tool for taking notes.
The package relies on the 'fabricjs' 'JavaScript' library. See <http://fabricjs.com/>.
Author: Mohamed El Fodil Ihaddaden [aut, cre],
fabricjs contributors [ctb, cph] (fabricjs JavaScript library),
jQuery contributors [ctb, cph] (jQuery JavaScript library),
FileSaver.js contributors [ctb, cph] (FileSaver JavaScript library)
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Diff between fabricerin versions 0.1.0 dated 2020-08-01 and 0.1.1 dated 2020-08-01
DESCRIPTION | 16 +++-- MD5 | 14 ++-- R/fabric_drawing.R | 51 +++++++++++------ R/fabric_shape.R | 123 +++++++++++++++++++++++++++++++++++++------ README.md | 27 ++++----- man/fabric_drawing.Rd | 5 + man/fabric_shape.Rd | 10 ++- man/figures/gumexample.gif |only man/figures/r_dplyr_logo.png |only 9 files changed, 184 insertions(+), 62 deletions(-)
Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: Provides functions for querying, retrieving and analysing
protocol- and results-related information on clinical trials from
two public registers, the European Union Clinical Trials Register
(EUCTR, <https://www.clinicaltrialsregister.eu/>) and
ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The
information is transformed and then stored in a database (nodbi).
Functions are provided for accessing and analysing the locally
stored information on the clinical trials, as well as for
identifying duplicate records. The package is motivated by the need
for aggregating and trend-analysing the design, conduct and outcomes
across clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>
Diff between ctrdata versions 1.3.0 dated 2020-07-27 and 1.3.1 dated 2020-08-01
DESCRIPTION | 8 ++++---- MD5 | 30 +++++++++++++++--------------- NEWS.md | 11 +++++++++-- R/main.R | 2 +- R/utils.R | 14 +++++++------- README.md | 2 +- inst/doc/ctrdata_get_started.pdf |binary inst/doc/ctrdata_usage_examples.pdf |binary inst/tinytest/test_ctrdata_param_checks.R | 16 ++++++++-------- man/checkDoc.Rd | 4 ++-- man/ctrLoadQueryIntoDb.Rd | 2 +- man/ctrLoadQueryIntoDbCtgov.Rd | 2 +- man/ctrLoadQueryIntoDbEuctr.Rd | 2 +- man/dbCTRAnnotateQueryRecords.Rd | 2 +- man/dbGetFieldsIntoDf.Rd | 10 +++++----- man/dbQueryHistory.Rd | 2 +- 16 files changed, 57 insertions(+), 50 deletions(-)
Title: Access Cropland Data Layer Data via the 'CropScape' Web Service
Description: Interface to easily access Cropland Data Layer (CDL) data for any area of interest via the 'CropScape' <https://nassgeodata.gmu.edu/CropScape/> web service.
Author: Bowen Chen [aut, cre] (<https://orcid.org/0000-0003-0370-2756>),
Benjamin Gramig [ctb],
Taro Mieno [ctb]
Maintainer: Bowen Chen <bwchen0719@gmail.com>
Diff between CropScapeR versions 1.1.0 dated 2020-08-01 and 1.1.1 dated 2020-08-01
DESCRIPTION | 12 ++++++------ MD5 | 22 ++++++++++++---------- NEWS.md |only R/GetCDLComp.R | 2 +- R/GetCDLData.R | 34 +++++++++++++++------------------- R/GetCDLImage.R | 2 +- R/GetCDLStat.R | 2 +- R/zzz.R | 2 +- README.md |only man/GetCDLComp.Rd | 2 +- man/GetCDLData.Rd | 33 ++++++++++++++------------------- man/GetCDLImage.Rd | 2 +- man/GetCDLStat.Rd | 2 +- 13 files changed, 54 insertions(+), 61 deletions(-)
Title: Local Randomization Methods for RD Designs
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. Under the local randomization approach, RD designs can be interpreted as randomized experiments inside a window around the cutoff. This package provides tools to perform randomization inference for RD designs under local randomization: rdrandinf() to perform hypothesis testing using randomization inference, rdwinselect() to select a window around the cutoff in which randomization is likely to hold, rdsensitivity() to assess the sensitivity of the results to different window lengths and null hypotheses and rdrbounds() to construct Rosenbaum bounds for sensitivity to unobserved confounders. See Cattaneo, Titiunik and Vazquez-Bare (2016) <https://sites.google.com/site/rdpackages/rdlocrand/Cattaneo-Titiunik-VazquezBare_2016_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@econ.ucsb.edu>
Diff between rdlocrand versions 0.6 dated 2020-05-12 and 0.7 dated 2020-08-01
DESCRIPTION | 8 +++--- MD5 | 20 ++++++++-------- NAMESPACE | 46 ++++++++++++++++++------------------- R/rdlocrand_fun.R | 2 - R/rdlocrand_package.R | 2 - R/rdrandinf.R | 62 +++++++++++++++++++++++++++++++++----------------- R/rdrbounds.R | 2 - R/rdsensitivity.R | 27 ++++++++++++++++----- R/rdwinselect.R | 2 - man/rdrandinf.Rd | 2 - man/rdsensitivity.Rd | 2 - 11 files changed, 105 insertions(+), 70 deletions(-)
Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>
Diff between gausscov versions 0.0.3 dated 2020-02-13 and 0.0.4 dated 2020-08-01
gausscov-0.0.3/gausscov/R/fdecomp.R |only gausscov-0.0.3/gausscov/R/fgraphst.R |only gausscov-0.0.3/gausscov/R/fgraphstst.R |only gausscov-0.0.3/gausscov/R/flmmdch.R |only gausscov-0.0.3/gausscov/R/frobstepwise.R |only gausscov-0.0.3/gausscov/R/fstepstepwise.R |only gausscov-0.0.3/gausscov/R/fstepwise.R |only gausscov-0.0.3/gausscov/data/colonx.rda |only gausscov-0.0.3/gausscov/data/colony.rda |only gausscov-0.0.3/gausscov/data/datalist |only gausscov-0.0.3/gausscov/data/leukemiax.rda |only gausscov-0.0.3/gausscov/data/leukemiay.rda |only gausscov-0.0.3/gausscov/data/prostatex.rda |only gausscov-0.0.3/gausscov/data/prostatey.rda |only gausscov-0.0.3/gausscov/data/stackloss.rda |only gausscov-0.0.3/gausscov/man/colonx.Rd |only gausscov-0.0.3/gausscov/man/colony.Rd |only gausscov-0.0.3/gausscov/man/fgraphst.Rd |only gausscov-0.0.3/gausscov/man/fgraphstst.Rd |only gausscov-0.0.3/gausscov/man/flmmdch.Rd |only gausscov-0.0.3/gausscov/man/frobstepwise.Rd |only gausscov-0.0.3/gausscov/man/fstepstepwise.Rd |only gausscov-0.0.3/gausscov/man/fstepwise.Rd |only gausscov-0.0.3/gausscov/man/leukemiax.Rd |only gausscov-0.0.3/gausscov/man/leukemiay.Rd |only gausscov-0.0.3/gausscov/man/prostatex.Rd |only gausscov-0.0.3/gausscov/man/prostatey.Rd |only gausscov-0.0.3/gausscov/man/stackloss.Rd |only gausscov-0.0.4/gausscov/DESCRIPTION | 9 gausscov-0.0.4/gausscov/MD5 | 91 +-- gausscov-0.0.4/gausscov/NAMESPACE | 2 gausscov-0.0.4/gausscov/R/decode.R | 9 gausscov-0.0.4/gausscov/R/decomp.R |only gausscov-0.0.4/gausscov/R/f1st.R |only gausscov-0.0.4/gausscov/R/f2st.R |only gausscov-0.0.4/gausscov/R/fgeninter.R | 15 gausscov-0.0.4/gausscov/R/fgentrig.R |only gausscov-0.0.4/gausscov/R/fgr1st.R |only gausscov-0.0.4/gausscov/R/fgr2st.R |only gausscov-0.0.4/gausscov/R/fmch.R |only gausscov-0.0.4/gausscov/R/fpval.R |only gausscov-0.0.4/gausscov/R/frmch.R |only gausscov-0.0.4/gausscov/R/frobreg.R | 64 +- gausscov-0.0.4/gausscov/R/frobregp.R |only gausscov-0.0.4/gausscov/R/frst.R |only gausscov-0.0.4/gausscov/R/fselect.R | 34 - gausscov-0.0.4/gausscov/R/fsimords.R | 68 +- gausscov-0.0.4/gausscov/data/abcq.rda |only gausscov-0.0.4/gausscov/data/dent.rda |only gausscov-0.0.4/gausscov/data/leukemia_x.rda |only gausscov-0.0.4/gausscov/data/leukemia_y.rda |only gausscov-0.0.4/gausscov/data/mel_temp.rda |only gausscov-0.0.4/gausscov/data/snspt.rda |only gausscov-0.0.4/gausscov/man/abcq.Rd |only gausscov-0.0.4/gausscov/man/decode.Rd | 4 gausscov-0.0.4/gausscov/man/decomp.Rd | 4 gausscov-0.0.4/gausscov/man/dent.Rd |only gausscov-0.0.4/gausscov/man/f1st.Rd |only gausscov-0.0.4/gausscov/man/f2st.Rd |only gausscov-0.0.4/gausscov/man/fgeninter.Rd | 7 gausscov-0.0.4/gausscov/man/fgentrig.Rd |only gausscov-0.0.4/gausscov/man/fgr1st.Rd |only gausscov-0.0.4/gausscov/man/fgr2st.Rd |only gausscov-0.0.4/gausscov/man/fmch.Rd |only gausscov-0.0.4/gausscov/man/fpval.Rd |only gausscov-0.0.4/gausscov/man/frmch.Rd |only gausscov-0.0.4/gausscov/man/frobreg.Rd | 16 gausscov-0.0.4/gausscov/man/frobregp.Rd |only gausscov-0.0.4/gausscov/man/frst.Rd |only gausscov-0.0.4/gausscov/man/fselect.Rd | 9 gausscov-0.0.4/gausscov/man/fsimords.Rd | 19 gausscov-0.0.4/gausscov/man/leukemia_x.Rd |only gausscov-0.0.4/gausscov/man/leukemia_y.Rd |only gausscov-0.0.4/gausscov/man/mel_temp.Rd |only gausscov-0.0.4/gausscov/man/redwine.Rd | 2 gausscov-0.0.4/gausscov/man/snspt.Rd |only gausscov-0.0.4/gausscov/src/gaucov.f | 818 ++++++++++++++++++--------- 77 files changed, 752 insertions(+), 419 deletions(-)
Title: Safety Diagnostics for Dose-Escalation Trial Designs
Description: Enhances various R packages that support the design and simulation
of phase 1 dose-escalation trials, adding diagnostics to examine
the safety characteristics of these designs in light of expected
inter-individual variation in pharmacokinetics and pharmacodynamics.
See Norris (2020), "Retrospective analysis of a fatal dose-finding
trial" <arXiv:2004.12755>.
Author: David C. Norris [aut, cre, cph]
(<https://orcid.org/0000-0001-9593-6343>)
Maintainer: David C. Norris <david@precisionmethods.guru>
Diff between precautionary versions 0.1-1 dated 2020-07-20 and 0.1-2 dated 2020-08-01
DESCRIPTION | 14 - MD5 | 39 ++--- NAMESPACE | 22 ++ NEWS.md | 10 + R/enhance.R | 106 +++++++++++--- R/simulate_trials.R | 183 +++++++++++++++++++++--- R/toxicity_generators.R | 90 +++++++---- build/partial.rdb |binary build/vignette.rds |binary inst/WORDLIST |only inst/doc/Intro.R | 38 +---- inst/doc/Intro.Rmd | 44 ++--- inst/doc/Intro.html | 271 ++++++++++++++++-------------------- man/extend.Rd |only man/format.safetytab.Rd |only man/hyper_mtdi_lognormal-class.Rd | 20 +- man/mtdi_lognormal-class.Rd | 3 man/plot-mtdi_generator-method.Rd | 10 - man/safety_kable.Rd |only man/simulate_trials.Rd | 24 ++- man/test_draw_samples.Rd |only vignettes/Intro.Rmd | 44 ++--- vignettes/precautionary-package.bib | 33 ++++ 23 files changed, 606 insertions(+), 345 deletions(-)
More information about image.CannyEdges at CRAN
Permanent link
Title: Acoustic Telemetry Data Analysis
Description: Designed for studies where fish tagged with acoustic tags are expected
to move through receiver arrays. This package combines the advantages of automatic sorting and checking
of fish movements with the possibility for user intervention on tags that deviate from expected
behaviour. The three analysis functions (explore(), migration() and residency())
allow the users to analyse their data in a systematic way, making it easy to compare results from
different studies.
CJS calculations are based on Perry et al. (2012) <https://www.researchgate.net/publication/256443823_Using_mark-recapture_models_to_estimate_survival_from_telemetry_data>.
Author: Hugo Flávio [aut, cre] (<https://orcid.org/0000-0002-5174-1197>)
Maintainer: Hugo Flávio <hdmfla@aqua.dtu.dk>
Diff between actel versions 1.0.0 dated 2020-06-13 and 1.1.0 dated 2020-08-01
actel-1.0.0/actel/inst/doc/g-0_messages.R |only actel-1.0.0/actel/inst/doc/g-0_messages.Rmd |only actel-1.0.0/actel/inst/doc/g-0_messages.html |only actel-1.0.0/actel/man/checkSectionsUnique.Rd |only actel-1.0.0/actel/man/commentCheck.Rd |only actel-1.0.0/actel/man/stripCodeSpaces.Rd |only actel-1.0.0/actel/vignettes/g-0_messages.Rmd |only actel-1.1.0/actel/DESCRIPTION | 12 actel-1.1.0/actel/MD5 | 505 + actel-1.1.0/actel/NAMESPACE | 5 actel-1.1.0/actel/NEWS.md | 40 actel-1.1.0/actel/R/CJS.R | 209 actel-1.1.0/actel/R/actel-deprecated.R |only actel-1.1.0/actel/R/actel.R | 106 actel-1.1.0/actel/R/check.R | 862 +-- actel-1.1.0/actel/R/explore.R | 569 +- actel-1.1.0/actel/R/get.R |only actel-1.1.0/actel/R/helper.R | 774 +-- actel-1.1.0/actel/R/load.R | 1006 ++- actel-1.1.0/actel/R/migration.R | 718 +- actel-1.1.0/actel/R/movements.R | 266 - actel-1.1.0/actel/R/plot.R | 476 + actel-1.1.0/actel/R/preload.R |only actel-1.1.0/actel/R/print.R | 626 +- actel-1.1.0/actel/R/residency.R | 814 +-- actel-1.1.0/actel/R/sysdata.rda |binary actel-1.1.0/actel/R/z_examples.R | 93 actel-1.1.0/actel/R/zzz.R | 2 actel-1.1.0/actel/README.md | 34 actel-1.1.0/actel/build/vignette.rds |binary actel-1.1.0/actel/data/example.results.rda |binary actel-1.1.0/actel/inst/doc/a-0_workspace_requirements.R | 3 actel-1.1.0/actel/inst/doc/a-0_workspace_requirements.Rmd | 19 actel-1.1.0/actel/inst/doc/a-0_workspace_requirements.html | 34 actel-1.1.0/actel/inst/doc/a-1_study_area.R | 63 actel-1.1.0/actel/inst/doc/a-1_study_area.Rmd | 114 actel-1.1.0/actel/inst/doc/a-1_study_area.html | 193 actel-1.1.0/actel/inst/doc/a-2_distances_matrix.Rmd | 2 actel-1.1.0/actel/inst/doc/a-2_distances_matrix.html | 6 actel-1.1.0/actel/inst/doc/a-3_preload.R |only actel-1.1.0/actel/inst/doc/a-3_preload.Rmd |only actel-1.1.0/actel/inst/doc/a-3_preload.html |only actel-1.1.0/actel/inst/doc/b-0_explore.Rmd | 20 actel-1.1.0/actel/inst/doc/b-0_explore.html | 25 actel-1.1.0/actel/inst/doc/b-1_explore_processes.Rmd | 6 actel-1.1.0/actel/inst/doc/b-1_explore_processes.html | 10 actel-1.1.0/actel/inst/doc/b-2_explore_results.Rmd | 2 actel-1.1.0/actel/inst/doc/b-2_explore_results.html | 6 actel-1.1.0/actel/inst/doc/c-0_migration.Rmd | 17 actel-1.1.0/actel/inst/doc/c-0_migration.html | 23 actel-1.1.0/actel/inst/doc/c-1_migration_processes.Rmd | 2 actel-1.1.0/actel/inst/doc/c-1_migration_processes.html | 6 actel-1.1.0/actel/inst/doc/c-2_migration_results.Rmd | 2 actel-1.1.0/actel/inst/doc/c-2_migration_results.html | 6 actel-1.1.0/actel/inst/doc/c-3_migration_efficiency.Rmd | 2 actel-1.1.0/actel/inst/doc/c-3_migration_efficiency.html | 6 actel-1.1.0/actel/inst/doc/d-0_residency.Rmd | 15 actel-1.1.0/actel/inst/doc/d-0_residency.html | 20 actel-1.1.0/actel/inst/doc/d-1_residency_processes.Rmd | 2 actel-1.1.0/actel/inst/doc/d-1_residency_processes.html | 6 actel-1.1.0/actel/inst/doc/d-2_residency_results.Rmd | 2 actel-1.1.0/actel/inst/doc/d-2_residency_results.html | 6 actel-1.1.0/actel/inst/doc/d-3_residency_efficiency.Rmd | 2 actel-1.1.0/actel/inst/doc/d-3_residency_efficiency.html | 6 actel-1.1.0/actel/inst/doc/e-0_manual_mode.Rmd | 8 actel-1.1.0/actel/inst/doc/e-0_manual_mode.html | 12 actel-1.1.0/actel/inst/doc/f-0_post_functions.Rmd | 56 actel-1.1.0/actel/inst/doc/f-0_post_functions.html | 56 actel-1.1.0/actel/inst/example_biometrics.csv |only actel-1.1.0/actel/inst/example_deployments.csv |only actel-1.1.0/actel/inst/example_detections.csv |only actel-1.1.0/actel/inst/example_spatial.csv | 38 actel-1.1.0/actel/man/actel-deprecated.Rd |only actel-1.1.0/actel/man/actel.Rd | 179 actel-1.1.0/actel/man/advEfficiency.Rd | 224 actel-1.1.0/actel/man/appendTo.Rd | 44 actel-1.1.0/actel/man/assembleArrayCJS.Rd | 44 actel-1.1.0/actel/man/assembleGroupCJS.Rd | 44 actel-1.1.0/actel/man/assembleMatrices.Rd | 56 actel-1.1.0/actel/man/assembleOutput.Rd | 58 actel-1.1.0/actel/man/assembleResidency.Rd | 40 actel-1.1.0/actel/man/assembleSectionOverview.Rd | 38 actel-1.1.0/actel/man/assembleSplitCJS.Rd | 40 actel-1.1.0/actel/man/assembleTimetable.Rd | 119 actel-1.1.0/actel/man/blameArrays.Rd | 44 actel-1.1.0/actel/man/breakMatricesByArray.Rd | 48 actel-1.1.0/actel/man/checkArguments.Rd |only actel-1.1.0/actel/man/checkDeploymentStations.Rd | 40 actel-1.1.0/actel/man/checkDetectionsBeforeRelease.Rd | 40 actel-1.1.0/actel/man/checkDupSignals.Rd | 44 actel-1.1.0/actel/man/checkGUI.Rd | 56 actel-1.1.0/actel/man/checkImpassables.Rd | 60 actel-1.1.0/actel/man/checkInactiveness.Rd | 99 actel-1.1.0/actel/man/checkJumpDistance.Rd | 96 actel-1.1.0/actel/man/checkLinearity.Rd | 66 actel-1.1.0/actel/man/checkMinimumN.Rd | 50 actel-1.1.0/actel/man/checkSMovesN.Rd | 62 actel-1.1.0/actel/man/checkSpeeds.Rd | 76 actel-1.1.0/actel/man/checkTagsInUnknownReceivers.Rd | 56 actel-1.1.0/actel/man/checkToken.Rd |only actel-1.1.0/actel/man/checkUpstream.Rd | 64 actel-1.1.0/actel/man/check_args.Rd | 78 actel-1.1.0/actel/man/circularSection.Rd | 76 actel-1.1.0/actel/man/cjs_args.Rd | 80 actel-1.1.0/actel/man/collectStrays.Rd | 40 actel-1.1.0/actel/man/combineCJS.Rd | 60 actel-1.1.0/actel/man/compileDetections.Rd | 76 actel-1.1.0/actel/man/completeMatrix.Rd | 2 actel-1.1.0/actel/man/copyOfCirclePlotRad.Rd | 88 actel-1.1.0/actel/man/copyOfRosediagRad.Rd | 100 actel-1.1.0/actel/man/countArrayFailures.Rd | 44 actel-1.1.0/actel/man/countBackMoves.Rd | 48 actel-1.1.0/actel/man/createStandards.Rd | 46 actel-1.1.0/actel/man/createWorkspace.Rd | 2 actel-1.1.0/actel/man/dataToList.Rd | 72 actel-1.1.0/actel/man/decimalTime.Rd | 40 actel-1.1.0/actel/man/discardFirst.Rd |only actel-1.1.0/actel/man/distancesMatrix.Rd | 186 actel-1.1.0/actel/man/dotList.Rd | 42 actel-1.1.0/actel/man/dotPaths.Rd | 46 actel-1.1.0/actel/man/efficiencyMatrix.Rd | 48 actel-1.1.0/actel/man/emergencyBreak.Rd | 2 actel-1.1.0/actel/man/emptyMatrix.Rd | 4 actel-1.1.0/actel/man/example.biometrics.Rd | 56 actel-1.1.0/actel/man/example.deployments.Rd | 50 actel-1.1.0/actel/man/example.detections.Rd | 50 actel-1.1.0/actel/man/example.distances.Rd | 38 actel-1.1.0/actel/man/example.results.Rd | 38 actel-1.1.0/actel/man/example.spatial.Rd | 58 actel-1.1.0/actel/man/exampleWorkspace.Rd | 48 actel-1.1.0/actel/man/excludeTags.Rd | 48 actel-1.1.0/actel/man/explore.Rd | 348 - actel-1.1.0/actel/man/extractCodeSpaces.Rd |only actel-1.1.0/actel/man/extractSignals.Rd |only actel-1.1.0/actel/man/fact.Rd | 42 actel-1.1.0/actel/man/findDirectChains.Rd | 40 actel-1.1.0/actel/man/findSecondsPerSection.Rd | 44 actel-1.1.0/actel/man/firstArrayFailure.Rd | 56 actel-1.1.0/actel/man/getDualMatrices.Rd | 48 actel-1.1.0/actel/man/getSpeeds.Rd |only actel-1.1.0/actel/man/getTimes.Rd | 97 actel-1.1.0/actel/man/globalRatios.Rd | 46 actel-1.1.0/actel/man/graphicalInvalidate.Rd | 44 actel-1.1.0/actel/man/groupMovements.Rd | 87 actel-1.1.0/actel/man/includeUnknownReceiver.Rd | 48 actel-1.1.0/actel/man/loadBio.Rd | 4 actel-1.1.0/actel/man/loadDeployments.Rd | 7 actel-1.1.0/actel/man/loadDetections.Rd | 72 actel-1.1.0/actel/man/loadDistances.Rd | 10 actel-1.1.0/actel/man/loadDot.Rd | 72 actel-1.1.0/actel/man/loadShape.Rd | 167 actel-1.1.0/actel/man/loadSpatial.Rd | 8 actel-1.1.0/actel/man/loadStudyData.Rd | 142 actel-1.1.0/actel/man/matchl.Rd | 40 actel-1.1.0/actel/man/mbGroupCJS.Rd | 44 actel-1.1.0/actel/man/migration.Rd | 507 + actel-1.1.0/actel/man/minuteTime.Rd | 44 actel-1.1.0/actel/man/movementSpeeds.Rd | 52 actel-1.1.0/actel/man/movementTimes.Rd | 40 actel-1.1.0/actel/man/myRoseDiag.Rd | 234 actel-1.1.0/actel/man/nearsq.Rd | 42 actel-1.1.0/actel/man/overrideValidityChecks.Rd | 56 actel-1.1.0/actel/man/plotMoves.Rd | 113 actel-1.1.0/actel/man/plotTimes.Rd | 151 actel-1.1.0/actel/man/preload.Rd |only actel-1.1.0/actel/man/preloadDetections.Rd |only actel-1.1.0/actel/man/printCircular.Rd | 46 actel-1.1.0/actel/man/printDot.Rd | 46 actel-1.1.0/actel/man/printDotplots.Rd | 4 actel-1.1.0/actel/man/printEfficiency.Rd | 58 actel-1.1.0/actel/man/printExploreRmd.Rd | 81 actel-1.1.0/actel/man/printGlobalRatios.Rd | 44 actel-1.1.0/actel/man/printIndividualResidency.Rd | 42 actel-1.1.0/actel/man/printIndividuals.Rd | 77 actel-1.1.0/actel/man/printLastArray.Rd | 40 actel-1.1.0/actel/man/printLastSection.Rd | 40 actel-1.1.0/actel/man/printMigrationRmd.Rd | 103 actel-1.1.0/actel/man/printProgression.Rd | 65 actel-1.1.0/actel/man/printResidencyRmd.Rd | 81 actel-1.1.0/actel/man/printSectionTimes.Rd | 44 actel-1.1.0/actel/man/printSensorData.Rd | 40 actel-1.1.0/actel/man/processStandardFile.Rd | 36 actel-1.1.0/actel/man/readDot.Rd | 2 actel-1.1.0/actel/man/res_assembleOutput.Rd | 42 actel-1.1.0/actel/man/res_efficiency.Rd | 68 actel-1.1.0/actel/man/residency.Rd | 477 - actel-1.1.0/actel/man/ringsRel.Rd | 72 actel-1.1.0/actel/man/roseMean.Rd | 96 actel-1.1.0/actel/man/sectionMovements.Rd | 46 actel-1.1.0/actel/man/simpleCJS.Rd | 82 actel-1.1.0/actel/man/simplifyMovements.Rd | 62 actel-1.1.0/actel/man/speedReleaseToFirst.Rd | 69 actel-1.1.0/actel/man/splitDetections.Rd | 4 actel-1.1.0/actel/man/stationName.Rd |only actel-1.1.0/actel/man/std.error.circular.Rd | 44 actel-1.1.0/actel/man/stopAndReport.Rd |only actel-1.1.0/actel/man/stripCodeSpaces-deprecated.Rd |only actel-1.1.0/actel/man/tableInteraction.Rd | 64 actel-1.1.0/actel/man/timesToCircular.Rd | 94 actel-1.1.0/actel/man/transferValidity.Rd | 40 actel-1.1.0/actel/man/transformSpatial.Rd | 55 actel-1.1.0/actel/man/transitionLayer.Rd | 126 actel-1.1.0/actel/man/updateValidity.Rd | 40 actel-1.1.0/actel/man/userInput.Rd |only actel-1.1.0/actel/man/validateDetections.Rd | 40 actel-1.1.0/actel/man/vectorsIntoTables.Rd | 40 actel-1.1.0/actel/tests/testthat/aux_assembleMatrices.R | 8 actel-1.1.0/actel/tests/testthat/aux_breakMatricesByArray.R | 380 - actel-1.1.0/actel/tests/testthat/aux_includeIntraArrayEstimates.RData |binary actel-1.1.0/actel/tests/testthat/aux_mbGroupCJS.RData |binary actel-1.1.0/actel/tests/testthat/aux_mbGroupCJS_2R_1G.RData |binary actel-1.1.0/actel/tests/testthat/aux_mbGroupCJS_2R_2G.RData |binary actel-1.1.0/actel/tests/testthat/aux_mbSplitCJS.RData |binary actel-1.1.0/actel/tests/testthat/aux_mbSplitCJS_2R_1G.RData |binary actel-1.1.0/actel/tests/testthat/aux_mbSplitCJS_2R_2G.RData |binary actel-1.1.0/actel/tests/testthat/aux_res_efficiency.RData |binary actel-1.1.0/actel/tests/testthat/test_CJS_functions.R | 163 actel-1.1.0/actel/tests/testthat/test_CJS_functions_2_releases.R | 88 actel-1.1.0/actel/tests/testthat/test_array_movement_checks.R | 109 actel-1.1.0/actel/tests/testthat/test_collectStrays.R | 8 actel-1.1.0/actel/tests/testthat/test_createStandards.R | 14 actel-1.1.0/actel/tests/testthat/test_createUniqueSerials.R | 2 actel-1.1.0/actel/tests/testthat/test_distancesMatrix_functions.R | 57 actel-1.1.0/actel/tests/testthat/test_dotList.R | 32 actel-1.1.0/actel/tests/testthat/test_explore.R | 134 actel-1.1.0/actel/tests/testthat/test_getSpeeds.R |only actel-1.1.0/actel/tests/testthat/test_getTimes.R | 53 actel-1.1.0/actel/tests/testthat/test_groupMovements.R | 35 actel-1.1.0/actel/tests/testthat/test_helpers.R | 15 actel-1.1.0/actel/tests/testthat/test_loadBio.R | 78 actel-1.1.0/actel/tests/testthat/test_loadDeployments.R | 47 actel-1.1.0/actel/tests/testthat/test_loadDetections.R | 85 actel-1.1.0/actel/tests/testthat/test_loadDistances.R | 34 actel-1.1.0/actel/tests/testthat/test_loadDot.R | 406 - actel-1.1.0/actel/tests/testthat/test_loadSpatial.R | 93 actel-1.1.0/actel/tests/testthat/test_loadStudyData.R | 38 actel-1.1.0/actel/tests/testthat/test_migration.R | 241 actel-1.1.0/actel/tests/testthat/test_migration_helpers.R | 167 actel-1.1.0/actel/tests/testthat/test_plotMoves.R |only actel-1.1.0/actel/tests/testthat/test_plotTimes.R | 78 actel-1.1.0/actel/tests/testthat/test_preload.R |only actel-1.1.0/actel/tests/testthat/test_print_extremes.R |only actel-1.1.0/actel/tests/testthat/test_readDot.R | 4 actel-1.1.0/actel/tests/testthat/test_residency.R | 272 - actel-1.1.0/actel/tests/testthat/test_residency_helpers.R | 165 actel-1.1.0/actel/tests/testthat/test_sectionMovements.R | 58 actel-1.1.0/actel/tests/testthat/test_splitDetections.R | 12 actel-1.1.0/actel/tests/testthat/test_timesToCircular.R |only actel-1.1.0/actel/tests/testthat/test_transformSpatial.R | 69 actel-1.1.0/actel/vignettes/a-0_workspace_requirements.Rmd | 19 actel-1.1.0/actel/vignettes/a-1_study_area.Rmd | 114 actel-1.1.0/actel/vignettes/a-2_distances_matrix.Rmd | 2 actel-1.1.0/actel/vignettes/a-3_preload.Rmd |only actel-1.1.0/actel/vignettes/b-0_explore.Rmd | 20 actel-1.1.0/actel/vignettes/b-1_explore_processes.Rmd | 6 actel-1.1.0/actel/vignettes/b-2_explore_results.Rmd | 2 actel-1.1.0/actel/vignettes/c-0_migration.Rmd | 17 actel-1.1.0/actel/vignettes/c-1_migration_processes.Rmd | 2 actel-1.1.0/actel/vignettes/c-2_migration_results.Rmd | 2 actel-1.1.0/actel/vignettes/c-3_migration_efficiency.Rmd | 2 actel-1.1.0/actel/vignettes/d-0_residency.Rmd | 15 actel-1.1.0/actel/vignettes/d-1_residency_processes.Rmd | 2 actel-1.1.0/actel/vignettes/d-2_residency_results.Rmd | 2 actel-1.1.0/actel/vignettes/d-3_residency_efficiency.Rmd | 2 actel-1.1.0/actel/vignettes/e-0_manual_mode.Rmd | 8 actel-1.1.0/actel/vignettes/f-0_post_functions.Rmd | 56 actel-1.1.0/actel/vignettes/spatialcsv_a5.svg | 202 actel-1.1.0/actel/vignettes/spatialcsv_a6.svg | 201 actel-1.1.0/actel/vignettes/spatialcsv_b3.svg | 296 - actel-1.1.0/actel/vignettes/speed_method.svg | 2558 +++++----- actel-1.1.0/actel/vignettes/study_area.svg | 1928 +++---- 271 files changed, 12670 insertions(+), 12112 deletions(-)
More information about PortfolioAnalysis at CRAN
Permanent link
Title: Diallel Analysis with R
Description: Performs Diallel Analysis with R using Griffing's and Hayman's approaches. Four different Methods (1: Method-I (Parents + F1's + reciprocals); 2: Method-II (Parents and one set of F1's); 3: Method-III (One set of F1's and reciprocals); 4: Method-IV (One set of F1's only)) and two Models (1: Fixed Effects Model; 2: Random Effects Model) can be applied using Griffing's approach.
Author: Muhammad Yaseen [aut, cre, cph]
(<https://orcid.org/0000-0002-5923-1714>),
Kent M. Eskridge [ctb],
Pedro A. M. Barbosa [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Diff between DiallelAnalysisR versions 0.1.1 dated 2016-04-08 and 0.3.0 dated 2020-08-01
DESCRIPTION | 53 ++++++++++++++++++++++++++++++++---------- MD5 | 32 ++++++++++++++++++------- NAMESPACE | 1 NEWS.md |only R/PartialDiallel.R |only R/PartialDiallelData.R |only README.md |only build |only data/PartialDiallelData.RData |only inst |only man/Griffing.Rd | 7 ++--- man/GriffingData1.Rd | 11 ++++---- man/GriffingData2.Rd | 11 ++++---- man/GriffingData3.Rd | 11 ++++---- man/GriffingData4.Rd | 11 ++++---- man/Hayman.Rd | 7 ++--- man/HaymanData.Rd | 11 ++++---- man/PartialDiallel.Rd |only man/PartialDiallelData.Rd |only vignettes |only 20 files changed, 101 insertions(+), 54 deletions(-)
More information about DiallelAnalysisR at CRAN
Permanent link
Title: Model Based Clustering of Binary Dissimilarity Measurements
Description: Functions for fitting a Bayesian model for grouping binary
dissimilarity matrices in homogeneous clusters. Currently, it includes
methods only for binary data.
Author: Sergio Venturini [aut, cre],
Raffaella Piccarreta [ctb]
Maintainer: Sergio Venturini <sergio.venturini@unito.it>
Diff between dmbc versions 0.3.0 dated 2020-06-12 and 0.4.0 dated 2020-08-01
dmbc-0.3.0/dmbc/TODO |only dmbc-0.4.0/dmbc/DESCRIPTION | 14 - dmbc-0.4.0/dmbc/MD5 | 71 ++++------ dmbc-0.4.0/dmbc/R/bmds.R | 6 dmbc-0.4.0/dmbc/R/convert.R | 6 dmbc-0.4.0/dmbc/R/dmbc.R | 2 dmbc-0.4.0/dmbc/R/dmbc_classes.R | 12 - dmbc-0.4.0/dmbc/R/dmbc_control.R | 28 ++- dmbc-0.4.0/dmbc/R/dmbc_fit.R | 156 +++++++++++----------- dmbc-0.4.0/dmbc/R/dmbc_ic.R | 2 dmbc-0.4.0/dmbc/R/dmbc_prior.R | 2 dmbc-0.4.0/dmbc/R/extract.R | 14 - dmbc-0.4.0/dmbc/R/utils.R | 24 +-- dmbc-0.4.0/dmbc/demo/model_choice.R | 3 dmbc-0.4.0/dmbc/demo/model_fit.R | 2 dmbc-0.4.0/dmbc/demo/simdiss.R | 122 ++++++++--------- dmbc-0.4.0/dmbc/inst/include/progbar.h | 10 - dmbc-0.4.0/dmbc/man/bmds.Rd | 2 dmbc-0.4.0/dmbc/man/bmds_get_x_mode.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_IC.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_check_groups.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_control.Rd | 28 ++- dmbc-0.4.0/dmbc/man/dmbc_fit.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_fit_list_to_list.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_fit_list_to_mcmc.list.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_fit_to_mcmc.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_get_configuration.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_get_map.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_get_ml.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_get_postmean.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_get_postmedian.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_match_groups.Rd | 2 dmbc-0.4.0/dmbc/man/dmbc_prior.Rd | 2 dmbc-0.4.0/dmbc/man/mdsic.Rd | 2 dmbc-0.4.0/dmbc/man/update-dmbc_ic-method.Rd | 2 dmbc-0.4.0/dmbc/src/mcmc.cpp | 12 - 37 files changed, 281 insertions(+), 269 deletions(-)
Title: Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)
Description: Provides a framework to perform Non-negative Matrix
Factorization (NMF). The package implements a set of already published algorithms
and seeding methods, and provides a framework to test, develop and plug
new/custom algorithms. Most of the built-in algorithms have been optimized
in C++, and the main interface function provides an easy way of performing
parallel computations on multicore machines.
Author: Renaud Gaujoux, Cathal Seoighe
Maintainer: Nicolas Sauwen <nicolas.sauwen@openanalytics.eu>
Diff between NMF versions 0.22.0 dated 2020-02-12 and 0.23.0 dated 2020-08-01
DESCRIPTION | 8 ++++---- MD5 | 28 ++++++++++++++-------------- R/NMF-class.R | 4 +--- R/NMFSet-class.R | 12 ++++++------ R/NMFplots.R | 21 ++++++--------------- R/seed-nndsvd.R | 4 ++-- inst/doc/NMF-vignette.pdf |binary inst/doc/consensus.pdf |binary inst/doc/heatmaps.pdf |binary man/NMFfitX1-class.Rd | 4 ++-- man/NMFfitXn-class.Rd | 4 ++-- man/RNG.Rd | 2 +- man/profplot.Rd | 11 ++++------- man/silhouette.NMF.Rd | 10 ++-------- man/types.Rd | 6 ++---- 15 files changed, 46 insertions(+), 68 deletions(-)
Title: Multiple Fill and Colour Scales in 'ggplot2'
Description: Use multiple fill and colour scales in 'ggplot2'.
Author: Elio Campitelli [cre, aut] (<https://orcid.org/0000-0002-7742-9230>)
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>
Diff between ggnewscale versions 0.4.1 dated 2020-02-13 and 0.4.2 dated 2020-08-01
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS.md | 7 +++++++ R/new-scale.R | 7 +++++++ README.md | 15 +++++++++++++-- man/figures/README-unnamed-chunk-1-1.png |binary 6 files changed, 36 insertions(+), 11 deletions(-)
Title: Geographic Information of Uruguay
Description: The toolbox have functions to load and process geographic information for Uruguay.
And extra-function to get address coordinates and orthophotos through the uruguayan 'IDE' API <https://www.gub.uy/infraestructura-datos-espaciales/tramites-y-servicios/servicios/servicio-direcciones-geograficas>.
Author: Richard Detomasi [aut, cre] (<https://orcid.org/0000-0002-6725-0261>),
Ministerio de Desarrollo Social, Uruguay (MIDES) [dtc],
Infraestrutura de Datos Espaciales, Uruguay (IDE) [dtc],
Servicio Geográfico Militar, Uruguay (SGM) [dtc],
Ministerio de Transporte y Obras Públicas, Uruguay (MTOP) [dtc],
Instituto Nacional de Estadística, Uruguay (INE) [dtc],
Instituto Geográfico Militar, Uruguay (IGM) [dtc],
Ministerio de Vivienda, Ordenamiento Territorial y Medio Ambiente,
Uruguay (MVOTMA) [dtc]
Maintainer: Richard Detomasi <richard.detomasi@gmail.com>
Diff between geouy versions 0.2.1 dated 2020-06-03 and 0.2.2 dated 2020-08-01
DESCRIPTION | 10 +++---- MD5 | 28 ++++++++++++--------- NEWS.md | 13 +++++++++ R/data.R | 22 +++++++++++++++- R/geouy.R |only R/load_geouy.R | 8 ++++-- R/plot_geouy.R | 68 ++++++++++++++++++++++++++++++++++++--------------- README.md | 17 +++++++++--- data/loc_agr_ine.rda |only data/metadata.rda |binary inst/doc/geouy.R | 37 +++++++++++++++++++++++---- inst/doc/geouy.Rmd | 64 +++++++++++++++++++++++++++++++++++++++--------- inst/doc/geouy.html | 52 +++++++++++++++++++++++++++++++++------ man/geouy.Rd |only man/loc_agr_ine.Rd |only man/plot_geouy.Rd | 9 +++++- vignettes/geouy.Rmd | 64 +++++++++++++++++++++++++++++++++++++++--------- 17 files changed, 309 insertions(+), 83 deletions(-)
Title: moDel Agnostic Language for Exploration and eXplanation
Description: Unverified black box model is the path to the failure. Opaqueness leads to distrust.
Distrust leads to ignoration. Ignoration leads to rejection.
DALEX package xrays any model and helps to explore and explain its behaviour.
Machine Learning (ML) models are widely used and have various applications in classification
or regression. Models created with boosting, bagging, stacking or similar techniques are often
used due to their high performance. But such black-box models usually lack of direct interpretability.
DALEX package contains various methods that help to understand the link between input variables
and model output. Implemented methods help to explore model on the level of a single instance
as well as a level of the whole dataset.
All model explainers are model agnostic and can be compared across different models.
DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration.
Find more details in (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>),
Szymon Maksymiuk [aut],
Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>)
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Diff between DALEX versions 1.3.0 dated 2020-07-02 and 1.3.1.1 dated 2020-08-01
DESCRIPTION | 8 - MD5 | 42 +++--- NAMESPACE | 4 R/model_parts.R | 18 +- R/plot_model_parts.R |only R/plot_model_performance.R | 34 +++++ R/plot_model_profile.R | 13 ++ R/plot_predict_parts.R |only R/plot_predict_profile.R | 24 +++ R/predict_diagnostics.R | 7 - R/predict_parts.R | 162 ++++++++++++++++++-------- R/predict_profile.R | 8 - man/model_parts.Rd | 4 man/plot.model_parts.Rd |only man/plot.model_performance.Rd | 3 man/plot.model_profile.Rd | 13 ++ man/plot.predict_parts.Rd |only man/plot.predict_profile.Rd | 24 +++ man/predict_parts.Rd | 102 +++++++++++----- man/predict_profile.Rd | 10 + tests/objects_for_tests/parsnip_classif.RData |binary tests/objects_for_tests/parsnip_regr.RData |binary tests/testthat/helper-objects.R | 11 - tests/testthat/test_yhat_model_info.R | 9 + 24 files changed, 366 insertions(+), 130 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-01-10 0.3.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-08-24 0.2.0
Title: Extensible Bootstrapped Split-Half Reliabilities
Description: Estimates split-half reliabilities for scoring algorithms of reaction time (RT) tasks and questionnaires. The 'splithalfr' supports user-provided scoring algorithms. It provides four splitting techniques, split stratification, a number of reliability coefficients, and the option to sub-sample data.
Author: Thomas Pronk [aut, cre]
Maintainer: Thomas Pronk <pronkthomas@gmail.com>
Diff between splithalfr versions 1.0.10 dated 2019-06-07 and 2.0.12 dated 2020-08-01
splithalfr-1.0.10/splithalfr/man/mean_fr_by_split.Rd |only splithalfr-1.0.10/splithalfr/man/mean_sb_by_split.Rd |only splithalfr-1.0.10/splithalfr/man/sh_apply.Rd |only splithalfr-2.0.12/splithalfr/DESCRIPTION | 24 splithalfr-2.0.12/splithalfr/MD5 | 122 ++-- splithalfr-2.0.12/splithalfr/NAMESPACE | 38 + splithalfr-2.0.12/splithalfr/R/by_split.R |only splithalfr-2.0.12/splithalfr/R/coefficients.R |only splithalfr-2.0.12/splithalfr/R/data.R | 109 ++-- splithalfr-2.0.12/splithalfr/R/split_aggregations.R |only splithalfr-2.0.12/splithalfr/R/splithalfr.R | 271 +--------- splithalfr-2.0.12/splithalfr/R/splitting.R |only splithalfr-2.0.12/splithalfr/README.md | 32 - splithalfr-2.0.12/splithalfr/build/vignette.rds |binary splithalfr-2.0.12/splithalfr/data/ds_aat.RData |binary splithalfr-2.0.12/splithalfr/data/ds_gng.RData |only splithalfr-2.0.12/splithalfr/data/ds_iat.RData |binary splithalfr-2.0.12/splithalfr/data/ds_rapi.RData |binary splithalfr-2.0.12/splithalfr/data/ds_sst.RData |only splithalfr-2.0.12/splithalfr/data/ds_vpt.RData |binary splithalfr-2.0.12/splithalfr/inst/doc/aat_double_diff_of_medians.R | 4 splithalfr-2.0.12/splithalfr/inst/doc/aat_double_diff_of_medians.Rmd | 134 ++-- splithalfr-2.0.12/splithalfr/inst/doc/aat_double_diff_of_medians.html | 197 ++++--- splithalfr-2.0.12/splithalfr/inst/doc/gng_dprime.R |only splithalfr-2.0.12/splithalfr/inst/doc/gng_dprime.Rmd |only splithalfr-2.0.12/splithalfr/inst/doc/gng_dprime.html |only splithalfr-2.0.12/splithalfr/inst/doc/iat_dscore_ri.R | 4 splithalfr-2.0.12/splithalfr/inst/doc/iat_dscore_ri.Rmd | 187 +++--- splithalfr-2.0.12/splithalfr/inst/doc/iat_dscore_ri.html | 240 ++++---- splithalfr-2.0.12/splithalfr/inst/doc/rapi_sum.R | 4 splithalfr-2.0.12/splithalfr/inst/doc/rapi_sum.Rmd | 112 ++-- splithalfr-2.0.12/splithalfr/inst/doc/rapi_sum.html | 177 +++--- splithalfr-2.0.12/splithalfr/inst/doc/splitting_techniques.R |only splithalfr-2.0.12/splithalfr/inst/doc/splitting_techniques.Rmd |only splithalfr-2.0.12/splithalfr/inst/doc/splitting_techniques.html |only splithalfr-2.0.12/splithalfr/inst/doc/sst_ssrti.R |only splithalfr-2.0.12/splithalfr/inst/doc/sst_ssrti.Rmd |only splithalfr-2.0.12/splithalfr/inst/doc/sst_ssrti.html |only splithalfr-2.0.12/splithalfr/inst/doc/vpt_diff_of_means.R | 4 splithalfr-2.0.12/splithalfr/inst/doc/vpt_diff_of_means.Rmd | 135 ++-- splithalfr-2.0.12/splithalfr/inst/doc/vpt_diff_of_means.html | 202 ++++--- splithalfr-2.0.12/splithalfr/man/angoff_feldt.Rd |only splithalfr-2.0.12/splithalfr/man/apply_split_indexes_to_strata.Rd |only splithalfr-2.0.12/splithalfr/man/apply_split_indexes_to_stratum.Rd |only splithalfr-2.0.12/splithalfr/man/assmd.Rd |only splithalfr-2.0.12/splithalfr/man/by_split.Rd |only splithalfr-2.0.12/splithalfr/man/check_strata.Rd |only splithalfr-2.0.12/splithalfr/man/ds_aat.Rd | 81 +- splithalfr-2.0.12/splithalfr/man/ds_gng.Rd |only splithalfr-2.0.12/splithalfr/man/ds_iat.Rd | 97 +-- splithalfr-2.0.12/splithalfr/man/ds_rapi.Rd | 64 +- splithalfr-2.0.12/splithalfr/man/ds_sst.Rd |only splithalfr-2.0.12/splithalfr/man/ds_vpt.Rd | 83 +-- splithalfr-2.0.12/splithalfr/man/flanagan_rulon.Rd |only splithalfr-2.0.12/splithalfr/man/get_split_indexes_from_strata.Rd |only splithalfr-2.0.12/splithalfr/man/get_split_indexes_from_stratum.Rd |only splithalfr-2.0.12/splithalfr/man/sdregi.Rd |only splithalfr-2.0.12/splithalfr/man/short_icc.Rd |only splithalfr-2.0.12/splithalfr/man/spearman_brown.Rd |only splithalfr-2.0.12/splithalfr/man/split_ci.Rd |only splithalfr-2.0.12/splithalfr/man/split_coefs.Rd |only splithalfr-2.0.12/splithalfr/man/split_df.Rd |only splithalfr-2.0.12/splithalfr/man/split_strata.Rd |only splithalfr-2.0.12/splithalfr/man/split_stratum.Rd |only splithalfr-2.0.12/splithalfr/man/splithalfr.Rd | 103 ++- splithalfr-2.0.12/splithalfr/man/stratify.Rd |only splithalfr-2.0.12/splithalfr/tests/test-aat_double_diff_of_medians.xlsx |binary splithalfr-2.0.12/splithalfr/tests/test-iat_dscore_ri.xlsx |binary splithalfr-2.0.12/splithalfr/tests/test-rapi_sum.xlsx |binary splithalfr-2.0.12/splithalfr/tests/test-vpt_diff_of_means.xlsx |binary splithalfr-2.0.12/splithalfr/tests/testthat.R | 2 splithalfr-2.0.12/splithalfr/tests/testthat/test-aat_double_diff_of_medians.R | 132 ++-- splithalfr-2.0.12/splithalfr/tests/testthat/test-iat_dscore_ri.R | 158 +++-- splithalfr-2.0.12/splithalfr/tests/testthat/test-rapi_sum.R | 94 ++- splithalfr-2.0.12/splithalfr/tests/testthat/test-splitting.R |only splithalfr-2.0.12/splithalfr/tests/testthat/test-vpt_diff_of_means.R | 101 ++- splithalfr-2.0.12/splithalfr/vignettes/aat_double_diff_of_medians.Rmd | 134 ++-- splithalfr-2.0.12/splithalfr/vignettes/gng_dprime.Rmd |only splithalfr-2.0.12/splithalfr/vignettes/iat_dscore_ri.Rmd | 187 +++--- splithalfr-2.0.12/splithalfr/vignettes/rapi_sum.Rmd | 112 ++-- splithalfr-2.0.12/splithalfr/vignettes/splitting_techniques.Rmd |only splithalfr-2.0.12/splithalfr/vignettes/sst_ssrti.Rmd |only splithalfr-2.0.12/splithalfr/vignettes/vpt_diff_of_means.Rmd | 135 ++-- 83 files changed, 1877 insertions(+), 1602 deletions(-)
Title: Access Cropland Data Layer Data via the 'CropScape' Web Service
Description: Interface to easily access Cropland Data Layer (CDL) data for any area of interest via the 'CropScape' <https://nassgeodata.gmu.edu/CropScape/> web service.
Author: Bowen Chen [aut, cre] (<https://orcid.org/0000-0003-0370-2756>),
Benjamin Gramig [ctb],
Taro Mieno [ctb]
Maintainer: Bowen Chen <bwchen0719@gmail.com>
Diff between CropScapeR versions 1.0.1 dated 2020-07-05 and 1.1.0 dated 2020-08-01
CropScapeR-1.0.1/CropScapeR/README.md |only CropScapeR-1.1.0/CropScapeR/DESCRIPTION | 16 - CropScapeR-1.1.0/CropScapeR/MD5 | 26 +- CropScapeR-1.1.0/CropScapeR/R/GetCDLComp.R | 101 ++++---- CropScapeR-1.1.0/CropScapeR/R/GetCDLData.R | 214 ++++++++++++----- CropScapeR-1.1.0/CropScapeR/R/GetCDLImage.R | 66 +++-- CropScapeR-1.1.0/CropScapeR/R/GetCDLStat.R | 66 +++-- CropScapeR-1.1.0/CropScapeR/R/manualrotate.R | 11 CropScapeR-1.1.0/CropScapeR/R/utils.R | 286 ++++++++++++++++++------ CropScapeR-1.1.0/CropScapeR/R/zzz.R |only CropScapeR-1.1.0/CropScapeR/man/GetCDLComp.Rd | 57 ++-- CropScapeR-1.1.0/CropScapeR/man/GetCDLData.Rd | 135 +++++++---- CropScapeR-1.1.0/CropScapeR/man/GetCDLImage.Rd | 24 +- CropScapeR-1.1.0/CropScapeR/man/GetCDLStat.Rd | 24 +- CropScapeR-1.1.0/CropScapeR/man/manualrotate.Rd | 11 15 files changed, 676 insertions(+), 361 deletions(-)