Title: A Stable Isotope Mixing Model
Description: Fits Stable Isotope Mixing Models (SIMMs) and is meant as a longer term replacement to the previous widely-used package SIAR. SIMMs are used to infer dietary proportions of organisms consuming various food sources from observations on the stable isotope values taken from the organisms' tissue samples. However SIMMs can also be used in other scenarios, such as in sediment mixing or the composition of fatty acids. The main functions are simmr_load and simmr_mcmc. The two vignettes contain a quick start and a full listing of all the features. The methods used are detailed in the papers Parnell et al 2010 <doi:10.1371/journal.pone.0009672>, and Parnell et al 2013 <doi:10.1002/env.2221>.
Author: Andrew Parnell [cre, aut],
Emma Govan [aut]
Maintainer: Andrew Parnell <andrew.parnell@mu.ie>
Diff between simmr versions 0.4.5 dated 2021-02-27 and 0.5.0 dated 2023-03-25
DESCRIPTION | 29 MD5 | 140 - NAMESPACE | 3 NEWS.md | 15 R/RcppExports.R |only R/combine_sources.R | 307 ++- R/compare_groups.R | 4 R/compare_sources.R | 27 R/data.R | 6 R/globals.R |only R/plot.simmr_input.R | 13 R/plot.simmr_output.R | 236 +- R/posterior_predictive.simmr_output.R | 11 R/print.simmr_output.R | 19 R/prior_viz.simmr_output.R | 233 +- R/simmr-package.R |only R/simmr.R | 1 R/simmr_elicit.R | 1 R/simmr_ffvb.R |only R/simmr_load.R | 71 R/simmr_mcmc.R | 4 R/simmr_mcmc_tdf.R | 50 R/summary.simmr_output.R | 186 +- build/vignette.rds |binary inst/doc/advanced_plotting.R |only inst/doc/advanced_plotting.Rmd |only inst/doc/advanced_plotting.html |only inst/doc/quick_start.R | 53 inst/doc/quick_start.Rmd | 55 inst/doc/quick_start.html | 439 +++- inst/doc/simmr.R | 396 ++-- inst/doc/simmr.Rmd | 433 ++-- inst/doc/simmr.html | 1548 +++++++++++------ man/combine_sources.Rd | 32 man/compare_groups.Rd | 2 man/compare_sources.Rd | 14 man/geese_data.Rd | 2 man/geese_data_day1.Rd | 2 man/plot.simmr_output.Rd | 46 man/posterior_predictive.Rd | 8 man/print.simmr_output.Rd | 3 man/prior_viz.Rd | 20 man/simmr.Rd | 1 man/simmr_elicit.Rd | 1 man/simmr_ffvb.Rd |only man/simmr_mcmc_tdf.Rd | 15 man/square_data.Rd | 2 man/summary.simmr_output.Rd | 24 src |only tests/testthat.R | 3 tests/testthat/Rplots.pdf |binary tests/testthat/_snaps |only tests/testthat/test-simmr_ffvb.R |only tests/testthat/test_simmr_combine_sources.R | 258 ++ tests/testthat/test_simmr_compare_sources_and_groups.R | 256 ++ tests/testthat/test_simmr_data_formats.R |only tests/testthat/test_simmr_input_plots.R | 35 tests/testthat/test_simmr_load.R | 51 tests/testthat/test_simmr_mcmc_simple.R | 14 tests/testthat/test_simmr_misc_functions.R | 105 - tests/testthat/test_simmr_plot_output.R | 52 tests/testthat/test_simmr_print_summary.R | 43 tests/testthat/test_simmr_tdf_estimation.R | 62 tests/vdiffr.Rout.fail |only vignettes/advanced_plotting.Rmd |only vignettes/quick_start.Rmd | 55 vignettes/simmr.Rmd | 433 ++-- 67 files changed, 3875 insertions(+), 1944 deletions(-)
Title: Read 'SurveyXact' Data
Description: Imports data from the 'SurveyXact' commercial service
<https://www.surveyxact.com/>, adds variable labels, and converts value
labels to factors in the same order as exported from 'SurveyXact'.
Author: Stephan Daus [aut, cre]
Maintainer: Stephan Daus <stephus.daus@gmail.com>
Diff between readSX versions 0.8.3 dated 2022-08-23 and 0.8.4 dated 2023-03-25
DESCRIPTION | 9 +++++---- MD5 | 17 ++++++++++------- NAMESPACE | 5 ++++- NEWS.md | 4 ++++ R/readSX-package.R | 3 --- R/utils.R | 4 ++-- R/write_data_for_sx.R |only README.md | 33 ++++++++++++++++++++++----------- inst/CITATION | 7 ++++--- man/write_data_for_sx.Rd |only tests/testthat/test-prep_data_for_sx.R |only 11 files changed, 51 insertions(+), 31 deletions(-)
Title: For Accessing U.S. Department of Justice (DOJ) Open Data
Description: Fetch data from the <https://www.justice.gov/developer/api-documentation/api_v1> API such as press releases, blog entries, and speeches. Optional parameters allow users to specify the number of results starting from the earliest or latest entries, and whether these results contain keywords. Data is cleaned for analysis and returned in a dataframe.
Author: Steph Buongiorno [aut, cre]
Maintainer: Steph Buongiorno <steph.buon@gmail.com>
Diff between usdoj versions 1.0.0 dated 2023-01-30 and 1.1.0 dated 2023-03-25
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- R/doj_press_releases.R | 4 +--- R/utils.R | 2 +- 4 files changed, 10 insertions(+), 12 deletions(-)
Title: Data Frame Class for Tracking Data
Description: Data frame class for storing collective movement data (e.g. fish
schools, ungulate herds, baboon troops) collected from GPS trackers or
computer vision tracking software.
Author: Simon Garnier [aut, cre]
Maintainer: Simon Garnier <garnier@njit.edu>
Diff between trackdf versions 0.3.1 dated 2023-01-22 and 0.3.2 dated 2023-03-25
DESCRIPTION | 8 +-- MD5 | 20 ++++----- NAMESPACE | 6 -- NEWS.md | 12 +++++ R/tidyverse.R | 30 +++++--------- build/vignette.rds |binary inst/doc/z1_install.html | 8 +-- inst/doc/z2_build.html | 92 ++++++++++++++++++++++---------------------- inst/doc/z3_manipulate.html | 82 +++++++++++++++++++-------------------- inst/doc/z4_errors.html | 22 +++++----- man/dplyr_track.Rd | 29 ++++++------- 11 files changed, 155 insertions(+), 154 deletions(-)
Title: Robust Linear Mixed Effects Models
Description: Implements the Robust Scoring Equations estimator to fit linear
mixed effects models robustly.
Robustness is achieved by modification of the scoring equations
combined with the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <kollerma@proton.me>
Diff between robustlmm versions 3.1-2 dated 2022-12-08 and 3.2-0 dated 2023-03-25
DESCRIPTION | 15 - MD5 | 48 +++-- NAMESPACE | 2 R/AllClass.R | 258 ++++++++++---------------------- R/DAS-scale.R | 124 +++++---------- R/accessors.R | 10 - R/fit.effects.R | 23 -- R/fitDatasets.R | 6 R/ghq.R | 27 --- R/helpers.R | 28 +-- R/lmer.R | 1 R/mutators.R | 3 R/rlmer.R | 95 +++++------ inst/doc/plots.R | 4 inst/doc/rlmer.pdf |binary inst/doc/simulationStudies.Rnw | 2 inst/doc/simulationStudies.pdf |binary src/rlmerMatrixUtils.cpp | 257 +++++++++++++++++++++++++++---- tests/DAS-scale.R | 82 ++++++++-- tests/fitDatasets.R | 2 tests/multipleGroupingFactorsTestData.R | 38 ++-- tests/offset.R |only tests/tau.R | 1 tests/testMatrices.R | 22 -- tests/weights.R |only vignettes/simulationStudies.Rnw | 2 26 files changed, 548 insertions(+), 502 deletions(-)
Title: Generate Generative Data for a Data Source
Description: Generative Adversarial Networks are applied to generate generative data for a data source. In iterative training steps the distribution of generated data converges to that of the data source. Direct applications of generative data are the created functions for data classifying and missing data completion. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Diff between ganGenerativeData versions 1.4.2 dated 2023-02-26 and 1.4.3 dated 2023-03-25
DESCRIPTION | 8 ++--- MD5 | 8 ++--- man/ganGenerativeData-package.Rd | 6 ++-- src/column.h | 6 ---- src/inOut.h | 54 --------------------------------------- 5 files changed, 13 insertions(+), 69 deletions(-)
More information about ganGenerativeData at CRAN
Permanent link
Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information see Sparapani, Spanbauer and McCulloch <doi:10.18637/jss.v097.i01>.
Author: Robert McCulloch [aut],
Rodney Sparapani [aut, cre],
Charles Spanbauer [aut],
Robert Gramacy [aut],
Matthew Pratola [aut],
Martyn Plummer [ctb],
Nicky Best [ctb],
Kate Cowles [ctb],
Karen Vines [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>
Diff between BART versions 2.9.3 dated 2023-02-04 and 2.9.4 dated 2023-03-25
DESCRIPTION | 8 ++++---- MD5 | 38 +++++++++++++++++++------------------- NEWS | 13 +++++++++++-- configure | 34 ++++++++++++++++------------------ configure.ac | 15 ++++++++------- inst/cxx-ex/bartfuns.cpp | 2 +- inst/cxx-ex/clbart.cpp | 2 +- inst/cxx-ex/cpbart.cpp | 2 +- inst/cxx-ex/cwbart.cpp | 2 +- inst/doc/the-BART-R-package.Rnw | 2 +- inst/doc/the-BART-R-package.pdf |binary src/Makevars.in | 2 +- src/Makevars.win | 2 +- src/bartfuns.cpp | 2 +- src/cabart.cpp | 4 ++-- src/cgbart.cpp | 4 ++-- src/clbart.cpp | 2 +- src/cpbart.cpp | 2 +- src/cwbart.cpp | 2 +- vignettes/the-BART-R-package.Rnw | 2 +- 20 files changed, 74 insertions(+), 66 deletions(-)
Title: Interface with the 'Fitbit' API
Description: Many 'Fitbit' users, and R-friendly 'Fitbit' users
especially, have found themselves curious about their 'Fitbit' data.
'Fitbit' aggregates a large amount of personal data, much of which is
interesting for personal research and to satisfy curiosity, and is
even potentially useful in medical settings. The goal of 'fitbitr' is
to make interfacing with the 'Fitbit' API as streamlined as possible,
to make it simple for R users of all backgrounds and comfort levels to
analyze their 'Fitbit' data and do whatever they want with it!
Currently, 'fitbitr' includes methods for pulling data on activity,
sleep, and heart rate, but this list is likely to grow in the future
as the package gains more traction and more requests for new methods
to be implemented come in. You can find details on the 'Fitbit' API
at <https://dev.fitbit.com/build/reference/web-api/>.
Author: Matt Kaye [aut, cre]
Maintainer: Matt Kaye <mrkaye97@gmail.com>
Diff between fitbitr versions 0.2.0 dated 2021-08-22 and 0.3.0 dated 2023-03-25
fitbitr-0.2.0/fitbitr/R/example-responses.R |only fitbitr-0.2.0/fitbitr/R/internals.R |only fitbitr-0.2.0/fitbitr/man/activity_calories.Rd |only fitbitr-0.2.0/fitbitr/man/activity_summary.Rd |only fitbitr-0.2.0/fitbitr/man/calories.Rd |only fitbitr-0.2.0/fitbitr/man/calories_bmr.Rd |only fitbitr-0.2.0/fitbitr/man/distance.Rd |only fitbitr-0.2.0/fitbitr/man/elevation.Rd |only fitbitr-0.2.0/fitbitr/man/floors.Rd |only fitbitr-0.2.0/fitbitr/man/generate_token.Rd |only fitbitr-0.2.0/fitbitr/man/heart_rate_intraday.Rd |only fitbitr-0.2.0/fitbitr/man/heart_rate_zones.Rd |only fitbitr-0.2.0/fitbitr/man/lifetime_bests.Rd |only fitbitr-0.2.0/fitbitr/man/lifetime_totals.Rd |only fitbitr-0.2.0/fitbitr/man/load_cached_token.Rd |only fitbitr-0.2.0/fitbitr/man/minutes_fairly_active.Rd |only fitbitr-0.2.0/fitbitr/man/minutes_lightly_active.Rd |only fitbitr-0.2.0/fitbitr/man/minutes_sedentary.Rd |only fitbitr-0.2.0/fitbitr/man/minutes_very_active.Rd |only fitbitr-0.2.0/fitbitr/man/sleep_stage_granular.Rd |only fitbitr-0.2.0/fitbitr/man/sleep_stage_summary.Rd |only fitbitr-0.2.0/fitbitr/man/sleep_summary.Rd |only fitbitr-0.2.0/fitbitr/man/steps.Rd |only fitbitr-0.2.0/fitbitr/man/tracker_bests.Rd |only fitbitr-0.2.0/fitbitr/man/tracker_totals.Rd |only fitbitr-0.2.0/fitbitr/tests/spelling.R |only fitbitr-0.2.0/fitbitr/tests/testthat/test-aaa-token-loads.R |only fitbitr-0.3.0/fitbitr/DESCRIPTION | 12 fitbitr-0.3.0/fitbitr/MD5 | 91 ++- fitbitr-0.3.0/fitbitr/NAMESPACE | 61 +- fitbitr-0.3.0/fitbitr/NEWS.md | 16 fitbitr-0.3.0/fitbitr/R/aaa.R | 1 fitbitr-0.3.0/fitbitr/R/activity.R | 231 +++++----- fitbitr-0.3.0/fitbitr/R/api.R | 134 +++-- fitbitr-0.3.0/fitbitr/R/heart-rate.R | 84 --- fitbitr-0.3.0/fitbitr/R/intraday.R |only fitbitr-0.3.0/fitbitr/R/setup.R | 86 ++- fitbitr-0.3.0/fitbitr/R/sleep.R | 102 ++-- fitbitr-0.3.0/fitbitr/R/validation.R |only fitbitr-0.3.0/fitbitr/README.md | 60 +- fitbitr-0.3.0/fitbitr/man/generate_fitbitr_token.Rd |only fitbitr-0.3.0/fitbitr/man/get.Rd |only fitbitr-0.3.0/fitbitr/man/get_active_zone_minutes_intraday.Rd |only fitbitr-0.3.0/fitbitr/man/get_activity_calories.Rd |only fitbitr-0.3.0/fitbitr/man/get_activity_summary.Rd |only fitbitr-0.3.0/fitbitr/man/get_calories.Rd |only fitbitr-0.3.0/fitbitr/man/get_calories_bmr.Rd |only fitbitr-0.3.0/fitbitr/man/get_calories_intraday.Rd |only fitbitr-0.3.0/fitbitr/man/get_distance.Rd |only fitbitr-0.3.0/fitbitr/man/get_distance_intraday.Rd |only fitbitr-0.3.0/fitbitr/man/get_elevation.Rd |only fitbitr-0.3.0/fitbitr/man/get_elevation_intraday.Rd |only fitbitr-0.3.0/fitbitr/man/get_floors.Rd |only fitbitr-0.3.0/fitbitr/man/get_floors_intraday.Rd |only fitbitr-0.3.0/fitbitr/man/get_heart_rate_intraday.Rd |only fitbitr-0.3.0/fitbitr/man/get_heart_rate_zones.Rd |only fitbitr-0.3.0/fitbitr/man/get_intraday_time_series.Rd |only fitbitr-0.3.0/fitbitr/man/get_lifetime_bests.Rd |only fitbitr-0.3.0/fitbitr/man/get_lifetime_totals.Rd |only fitbitr-0.3.0/fitbitr/man/get_minutes_fairly_active.Rd |only fitbitr-0.3.0/fitbitr/man/get_minutes_lightly_active.Rd |only fitbitr-0.3.0/fitbitr/man/get_minutes_sedentary.Rd |only fitbitr-0.3.0/fitbitr/man/get_minutes_very_active.Rd |only fitbitr-0.3.0/fitbitr/man/get_sleep_stage_granular.Rd |only fitbitr-0.3.0/fitbitr/man/get_sleep_stage_summary.Rd |only fitbitr-0.3.0/fitbitr/man/get_sleep_summary.Rd |only fitbitr-0.3.0/fitbitr/man/get_steps.Rd |only fitbitr-0.3.0/fitbitr/man/get_steps_intraday.Rd |only fitbitr-0.3.0/fitbitr/man/get_tracker_bests.Rd |only fitbitr-0.3.0/fitbitr/man/get_tracker_totals.Rd |only fitbitr-0.3.0/fitbitr/tests/testthat.R | 7 fitbitr-0.3.0/fitbitr/tests/testthat/setup.R |only fitbitr-0.3.0/fitbitr/tests/testthat/test-activities.R | 151 ++---- fitbitr-0.3.0/fitbitr/tests/testthat/test-heartrate.R | 32 - fitbitr-0.3.0/fitbitr/tests/testthat/test-intraday.R |only fitbitr-0.3.0/fitbitr/tests/testthat/test-sleep.R | 46 + fitbitr-0.3.0/fitbitr/tests/testthat/test-validation.R |only fitbitr-0.3.0/fitbitr/tests/testthat/test-zzz-teardown.R |only 78 files changed, 569 insertions(+), 545 deletions(-)
Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via a fast-and-robust bootstrap test, as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022) <doi:10.18637/jss.v103.i13>.
Author: Andreas Alfons [aut, cre] ,
Nufer Y. Ates [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Diff between robmed versions 1.0.0 dated 2022-08-17 and 1.0.1 dated 2023-03-25
DESCRIPTION | 10 MD5 | 26 - NEWS | 399 +++++++++++---------- R/utils.R | 418 +++++++++++------------ build/partial.rdb |binary inst/doc/robmed-intro.pdf |binary tests/testthat/test_fit_multiple_covariates.R | 8 tests/testthat/test_fit_multiple_no_covariates.R | 8 tests/testthat/test_fit_parallel_covariates.R | 8 tests/testthat/test_fit_parallel_no_covariates.R | 8 tests/testthat/test_fit_serial_covariates.R | 8 tests/testthat/test_fit_serial_no_covariates.R | 8 tests/testthat/test_fit_simple_covariates.R | 8 tests/testthat/test_sobel_simple_covariates.R | 8 14 files changed, 494 insertions(+), 423 deletions(-)
Title: CAR-MM Modelling in Stan
Description: 'Stan' based functions to estimate CAR-MM models. These models allow to estimate Generalised Linear Models with CAR (conditional autoregressive) spatial random effects for spatially and temporally misaligned data, provided a suitable Multiple Membership matrix. The main references are Gramatica, Liverani and Congdon (2023) <doi:10.1214/23-BA1370>, Petrof, Neyens, Nuyts, Nackaerts, Nemery and Faes (2020) <doi:10.1002/sim.8697> and Gramatica, Congdon and Liverani <doi:10.1111/rssc.12480>.
Author: Marco Gramatica [aut, cre] ,
Silvia Liverani [aut] ,
Peter Congdon [aut]
Maintainer: Marco Gramatica <gramaticamarco@gmail.com>
Diff between CARME versions 0.1 dated 2023-01-09 and 0.1.1 dated 2023-03-25
DESCRIPTION | 15 MD5 | 33 R/CARME-package.R | 50 R/W_sel.R | 7 R/car_mm.R | 14 R/f_mm_high_ord.R | 5 R/sim_MM_matrix.R | 5 R/sim_car.R | 4 README.md |only configure.win | 10 inst/stan/include/license.stan | 28 man/CARME-package.Rd | 20 man/W_sel.Rd | 7 man/car_mm.Rd | 14 man/f_mm_high_ord.Rd | 6 man/sim_MM_matrix.Rd | 6 man/sim_car.Rd | 5 src/stanExports_CARMM_COV_P.h | 2339 ++++++++++++++++++----------------------- 18 files changed, 1221 insertions(+), 1347 deletions(-)
Title: Unified Framework for Numerical Optimizers
Description: Provides a unified framework for numerical optimizers in R,
particularly for their inputs and outputs.
Author: Lennart Oelschlaeger [aut, cre]
,
Marius Ötting [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Diff between optimizeR versions 0.3.1 dated 2023-03-05 and 0.3.2 dated 2023-03-25
DESCRIPTION | 6 ++-- MD5 | 7 ++-- NEWS.md | 6 +++- README.md | 85 ++++++++++++++++++++++++++++++++++-------------------------- man/figures |only 5 files changed, 61 insertions(+), 43 deletions(-)
Title: Image Processing Library Based on 'CImg'
Description: Fast image processing for images in up to 4 dimensions (two spatial
dimensions, one time/depth dimension, one colour dimension). Provides most
traditional image processing tools (filtering, morphology, transformations,
etc.) as well as various functions for easily analysing image data using R. The
package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image
processing.
Author: Simon Barthelme [aut],
David Tschumperle [ctb],
Jan Wijffels [ctb],
Haz Edine Assemlal [ctb],
Shota Ochi [cre]
Maintainer: Shota Ochi <shotaochi1990@gmail.com>
Diff between imager versions 0.42.18 dated 2023-02-02 and 0.42.19 dated 2023-03-25
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- build/vignette.rds |binary inst/doc/gettingstarted.html | 6 +++--- inst/doc/pixsets.html | 4 ++-- src/Makevars.ucrt | 3 ++- 6 files changed, 15 insertions(+), 14 deletions(-)
Title: Extending 'dendrogram' Functionality in R
Description: Offers a set of functions for extending
'dendrogram' objects in R, letting you visualize and compare trees of
'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters
- the color, size, type, etc of its branches, nodes and labels. (2)
Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] ,
Yoav Benjamini [ths],
Gavin Simpson [ctb],
Gregory Jefferis [aut, ctb] ,
Marco Gallotta [ctb] ,
Johan Renaudie [ctb] ,
The R Core Team [ctb] ,
Kurt Hornik [ctb],
Uwe Ligges [ctb],
Andrej-Nikolai Spiess [ctb],
Steve Horvat [...truncated...]
Maintainer: Tal Galili <tal.galili@gmail.com>
Diff between dendextend versions 1.16.0 dated 2022-07-04 and 1.17.1 dated 2023-03-25
DESCRIPTION | 10 - MD5 | 31 ++-- NAMESPACE | 1 NEWS | 15 + NEWS.md | 15 + R/get_subdendrograms.R | 80 ++++++++++ R/ggdend.R | 9 - README.md | 3 inst/CITATION | 17 -- inst/doc/Cluster_Analysis.html | 153 +++++++++----------- inst/doc/FAQ.html | 148 +++++++++---------- inst/doc/Quick_Introduction.html | 117 +++++++-------- inst/doc/dendextend.html | 237 +++++++++++++++---------------- man/collapse_labels.Rd |only man/ggdend.Rd | 10 + man/set.Rd | 16 +- tests/testthat/test-get_subdendrograms.R | 27 +++ 17 files changed, 512 insertions(+), 377 deletions(-)
Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally)
upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or
'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of
code being exercised by a set of tests. It is an indirect measure of test
quality and completeness. This package is compatible with any testing
methodology or framework and tracks coverage of both R code and compiled
C/C++/FORTRAN code.
Author: Jim Hester [aut, cre],
Willem Ligtenberg [ctb],
Kirill Mueller [ctb],
Henrik Bengtsson [ctb],
Steve Peak [ctb],
Kirill Sevastyanenko [ctb],
Jon Clayden [ctb],
Robert Flight [ctb],
Eric Brown [ctb],
Brodie Gaslam [ctb],
Will Beasley [ctb],
Robert Krzyz [...truncated...]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Diff between covr versions 3.6.1 dated 2022-08-26 and 3.6.2 dated 2023-03-25
DESCRIPTION | 8 ++++---- MD5 | 19 ++++++++++--------- NEWS.md | 6 +++++- R/cobertura.R | 25 ++++++++++++++++++++++--- R/covr.R | 7 ++++--- inst/doc/how_it_works.html | 17 ++++++++++++----- man/to_cobertura.Rd | 12 +++++++++--- tests/testthat/cobertura.xml | 9 ++++++--- tests/testthat/helper.R |only tests/testthat/test-R6.R | 5 ++++- tests/testthat/test-cobertura.R | 8 +++++++- 11 files changed, 83 insertions(+), 33 deletions(-)
Title: Simulation and Estimation of the Neyman-Scott Type Spatial
Cluster Models
Description: Simulation and estimation for Neyman-Scott spatial cluster point
process models and their extensions, based on the methodology in Tanaka, Ogata,
and Stoyan (2008) <doi:10.1002/bimj.200610339>. To estimate parameters by the
simplex method, parallel computation using 'OpenMP' application programming
interface is available. For more details see Tanaka, Saga and Nakano
<doi:10.18637/jss.v098.i06>.
Author: Ushio Tanaka [aut] ,
Masami Saga [aut, cre],
Junji Nakano [aut]
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>
Diff between NScluster versions 1.3.5 dated 2021-05-28 and 1.3.6-1 dated 2023-03-25
NScluster-1.3.5/NScluster/src/NScluster_f.h |only NScluster-1.3.5/NScluster/src/Palm-IP.c |only NScluster-1.3.5/NScluster/src/Palm-Thomas.c |only NScluster-1.3.5/NScluster/src/Palm-TypeA.c |only NScluster-1.3.5/NScluster/src/Palm-TypeB.c |only NScluster-1.3.5/NScluster/src/Palm-TypeC.c |only NScluster-1.3.5/NScluster/src/Simplex-IP.c |only NScluster-1.3.5/NScluster/src/Simplex-Thomas.c |only NScluster-1.3.5/NScluster/src/Simplex-TypeA.c |only NScluster-1.3.5/NScluster/src/Simplex-TypeB.c |only NScluster-1.3.5/NScluster/src/Simplex-TypeC.c |only NScluster-1.3.5/NScluster/src/Simulate-IP.c |only NScluster-1.3.5/NScluster/src/Simulate-Thomas.c |only NScluster-1.3.5/NScluster/src/Simulate-TypeA.c |only NScluster-1.3.5/NScluster/src/Simulate-TypeB.c |only NScluster-1.3.5/NScluster/src/Simulate-TypeC.c |only NScluster-1.3.6-1/NScluster/DESCRIPTION | 8 NScluster-1.3.6-1/NScluster/MD5 | 73 ++---- NScluster-1.3.6-1/NScluster/NAMESPACE | 3 NScluster-1.3.6-1/NScluster/NEWS.md |only NScluster-1.3.6-1/NScluster/R/mple.R | 252 ++++++++++++--------- NScluster-1.3.6-1/NScluster/R/palm.R | 149 ++++++------ NScluster-1.3.6-1/NScluster/R/simulate.R | 187 +++++++++------ NScluster-1.3.6-1/NScluster/build/partial.rdb |binary NScluster-1.3.6-1/NScluster/build/vignette.rds |binary NScluster-1.3.6-1/NScluster/inst/doc/NScluster.pdf |binary NScluster-1.3.6-1/NScluster/src/NScluster-win.def |only NScluster-1.3.6-1/NScluster/src/NScluster.h | 44 +-- NScluster-1.3.6-1/NScluster/src/Palm-IPf.f | 30 +- NScluster-1.3.6-1/NScluster/src/Palm-Thomasf.f | 24 +- NScluster-1.3.6-1/NScluster/src/Palm-TypeAf.f | 30 +- NScluster-1.3.6-1/NScluster/src/Palm-TypeBf.f | 18 - NScluster-1.3.6-1/NScluster/src/Palm-TypeCf.f | 16 - NScluster-1.3.6-1/NScluster/src/Simplex-IPf.f | 59 ++-- NScluster-1.3.6-1/NScluster/src/Simplex-Thomasf.f | 34 +- NScluster-1.3.6-1/NScluster/src/Simplex-TypeAf.f | 57 ++-- NScluster-1.3.6-1/NScluster/src/Simplex-TypeBf.f | 37 +-- NScluster-1.3.6-1/NScluster/src/Simplex-TypeCf.f | 42 +-- NScluster-1.3.6-1/NScluster/src/Simulate-IPf.f | 16 - NScluster-1.3.6-1/NScluster/src/Simulate-Thomasf.f | 16 - NScluster-1.3.6-1/NScluster/src/Simulate-TypeAf.f | 18 - NScluster-1.3.6-1/NScluster/src/Simulate-TypeBf.f | 23 + NScluster-1.3.6-1/NScluster/src/Simulate-TypeCf.f | 24 +- NScluster-1.3.6-1/NScluster/src/comsub.f | 103 ++++---- NScluster-1.3.6-1/NScluster/src/comsubOMP.f | 28 +- NScluster-1.3.6-1/NScluster/src/init.c | 91 +++---- NScluster-1.3.6-1/NScluster/src/regF77.h |only 47 files changed, 732 insertions(+), 650 deletions(-)
Title: Time Series Analysis and Control Package
Description: Functions for statistical analysis, prediction and control of time
series based mainly on Akaike and Nakagawa (1988) <ISBN 978-90-277-2786-2>.
Author: The Institute of Statistical Mathematics
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>
Diff between timsac versions 1.3.6 dated 2018-03-06 and 1.3.8 dated 2023-03-25
timsac-1.3.6/timsac/R/timsac.R |only timsac-1.3.6/timsac/inst/doc/changes.txt |only timsac-1.3.6/timsac/src/auspec.c |only timsac-1.3.6/timsac/src/autarm.c |only timsac-1.3.6/timsac/src/autcor.c |only timsac-1.3.6/timsac/src/baysea.c |only timsac-1.3.6/timsac/src/bispec.c |only timsac-1.3.6/timsac/src/blocar.c |only timsac-1.3.6/timsac/src/blomar.c |only timsac-1.3.6/timsac/src/bsubst.c |only timsac-1.3.6/timsac/src/canarm.c |only timsac-1.3.6/timsac/src/canoca.c |only timsac-1.3.6/timsac/src/covgen.c |only timsac-1.3.6/timsac/src/decomp6.c |only timsac-1.3.6/timsac/src/exsar.c |only timsac-1.3.6/timsac/src/fftcor.c |only timsac-1.3.6/timsac/src/fpeaut.c |only timsac-1.3.6/timsac/src/fpec.c |only timsac-1.3.6/timsac/src/markov.c |only timsac-1.3.6/timsac/src/mlocar.c |only timsac-1.3.6/timsac/src/mlomar.c |only timsac-1.3.6/timsac/src/mulbar.c |only timsac-1.3.6/timsac/src/mulcor.c |only timsac-1.3.6/timsac/src/mulfre.c |only timsac-1.3.6/timsac/src/mulmar.c |only timsac-1.3.6/timsac/src/mulnos.c |only timsac-1.3.6/timsac/src/mulrsp.c |only timsac-1.3.6/timsac/src/mulspe.c |only timsac-1.3.6/timsac/src/nonst.c |only timsac-1.3.6/timsac/src/optdes.c |only timsac-1.3.6/timsac/src/optsim.c |only timsac-1.3.6/timsac/src/perars.c |only timsac-1.3.6/timsac/src/prdctr.c |only timsac-1.3.6/timsac/src/raspec.c |only timsac-1.3.6/timsac/src/sglfre.c |only timsac-1.3.6/timsac/src/simcon.c |only timsac-1.3.6/timsac/src/spgrh.c |only timsac-1.3.6/timsac/src/thirmo.c |only timsac-1.3.6/timsac/src/timsac_f.h |only timsac-1.3.6/timsac/src/unibar.c |only timsac-1.3.6/timsac/src/unimar.c |only timsac-1.3.6/timsac/src/wnoise.c |only timsac-1.3.6/timsac/src/xsarma.c |only timsac-1.3.8/timsac/DESCRIPTION | 6 timsac-1.3.8/timsac/MD5 | 164 ++++------- timsac-1.3.8/timsac/NAMESPACE | 7 timsac-1.3.8/timsac/NEWS.md |only timsac-1.3.8/timsac/R/timsac72.R |only timsac-1.3.8/timsac/R/timsac74.R |only timsac-1.3.8/timsac/R/timsac78.R |only timsac-1.3.8/timsac/R/timsac84.R |only timsac-1.3.8/timsac/data/Airpollution.rda |binary timsac-1.3.8/timsac/data/Amerikamaru.rda |binary timsac-1.3.8/timsac/data/Blsallfood.rda |binary timsac-1.3.8/timsac/data/Canadianlynx.rda |binary timsac-1.3.8/timsac/data/LaborData.rda |binary timsac-1.3.8/timsac/data/Powerplant.rda |binary timsac-1.3.8/timsac/data/bispecData.rda |binary timsac-1.3.8/timsac/data/locarData.rda |binary timsac-1.3.8/timsac/data/nonstData.rda |binary timsac-1.3.8/timsac/man/Blsallfood.Rd | 4 timsac-1.3.8/timsac/man/decomp.Rd | 48 +-- timsac-1.3.8/timsac/man/mulmar.Rd | 1 timsac-1.3.8/timsac/src/auspecf.f | 10 timsac-1.3.8/timsac/src/autarmf.f | 96 +++--- timsac-1.3.8/timsac/src/autcorf.f | 9 timsac-1.3.8/timsac/src/bayseaf.f | 244 +++++++++-------- timsac-1.3.8/timsac/src/bispecf.f | 58 ++-- timsac-1.3.8/timsac/src/blocarf.f | 23 - timsac-1.3.8/timsac/src/blomarf.f | 34 +- timsac-1.3.8/timsac/src/bsubstf.f | 95 +++--- timsac-1.3.8/timsac/src/canarmf.f | 57 ++-- timsac-1.3.8/timsac/src/canocaf.f | 114 ++++---- timsac-1.3.8/timsac/src/comsub.f | 412 +++++++++++++++--------------- timsac-1.3.8/timsac/src/covgenf.f | 10 timsac-1.3.8/timsac/src/decomp6f.f | 253 +++++++++--------- timsac-1.3.8/timsac/src/exsarf.f | 57 +--- timsac-1.3.8/timsac/src/fftcorf.f | 19 - timsac-1.3.8/timsac/src/fpeautf.f | 14 - timsac-1.3.8/timsac/src/fpecf.f | 29 +- timsac-1.3.8/timsac/src/init.c | 161 +++++------ timsac-1.3.8/timsac/src/markovf.f | 225 ++++++++-------- timsac-1.3.8/timsac/src/mlocarf.f | 30 +- timsac-1.3.8/timsac/src/mlomarf.f | 38 +- timsac-1.3.8/timsac/src/mulbarf.f | 17 - timsac-1.3.8/timsac/src/mulcorf.f | 15 - timsac-1.3.8/timsac/src/mulfref.f | 44 +-- timsac-1.3.8/timsac/src/mulmarf.f | 19 - timsac-1.3.8/timsac/src/mulnosf.f | 16 - timsac-1.3.8/timsac/src/mulrspf.f | 19 - timsac-1.3.8/timsac/src/mulspef.f | 38 +- timsac-1.3.8/timsac/src/nonstf.f | 30 +- timsac-1.3.8/timsac/src/optdesf.f | 28 -- timsac-1.3.8/timsac/src/optsimf.f | 22 - timsac-1.3.8/timsac/src/perarsf.f | 26 - timsac-1.3.8/timsac/src/prdctrf.f | 26 - timsac-1.3.8/timsac/src/raspecf.f | 14 - timsac-1.3.8/timsac/src/regF77.h |only timsac-1.3.8/timsac/src/sglfref.f | 39 +- timsac-1.3.8/timsac/src/simconf.f | 38 +- timsac-1.3.8/timsac/src/spgrhf.f | 37 +- timsac-1.3.8/timsac/src/thirmof.f | 11 timsac-1.3.8/timsac/src/timsac-win.def |only timsac-1.3.8/timsac/src/timsac.h | 42 +-- timsac-1.3.8/timsac/src/unibarf.f | 15 - timsac-1.3.8/timsac/src/unimarf.f | 15 - timsac-1.3.8/timsac/src/wnoisef.f | 14 - timsac-1.3.8/timsac/src/xsarmaf.f | 79 ++--- 108 files changed, 1381 insertions(+), 1441 deletions(-)
Title: Bayesian Quantile Regression for Ordinal Models
Description: Package provides functions for estimation and inference in Bayesian quantile regression with ordinal outcomes. An ordinal model with 3 or more outcomes (labeled OR1 model) is estimated by a combination of Gibbs sampling and Metropolis-Hastings (MH) algorithm. Whereas an ordinal model with exactly 3 outcomes (labeled OR2 model) is estimated using a Gibbs sampling algorithm. The summary output presents the posterior mean, posterior standard deviation, 95% credible intervals, and the inefficiency factors along with the two model comparison measures – logarithm of marginal likelihood and the deviance information criterion (DIC). The package also provides functions for computing the covariate effects and other functions that aids either the estimation or inference in quantile ordinal models.
Rahman, M. A. (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian Analysis, 11(1): 1-24 <doi: 10.1214/15-BA939>.
Yu, K., and Moyeed, R. A. (2001). “Bayesian Quantile Regression.” St [...truncated...]
Author: Mohammad Arshad Rahman Developer [aut],
Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391@gmail.com>
Diff between bqror versions 1.5.0 dated 2023-03-14 and 1.6.0 dated 2023-03-25
DESCRIPTION | 6 +- MD5 | 26 +++++------ R/ORI.R | 42 +++++++++--------- R/ORII.R | 100 ++++++++++++++++++++++---------------------- man/covEffectOR2.Rd | 8 +-- man/dicOR2.Rd | 2 man/drawnuOR2.Rd | 8 +-- man/drawwOR1.Rd | 8 +-- man/ineffactorOR2.Rd | 2 man/logMargLikeOR2.Rd | 6 +- man/quantregOR1.Rd | 4 - man/quantregOR2.Rd | 12 ++--- man/summary.bqrorOR2.Rd | 2 tests/testthat/test-ODRII.R | 4 - 14 files changed, 115 insertions(+), 115 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-02-07 1.0