Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create
and manage project-local R libraries, save the state of these libraries to
a 'lockfile', and later restore your library as required. Together, these
tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] ,
Hadley Wickham [aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>
Diff between renv versions 1.1.1 dated 2025-02-07 and 1.1.2 dated 2025-03-02
renv-1.1.1/renv/inst/repos/src/contrib/renv_1.1.1.tar.gz |only renv-1.1.2/renv/DESCRIPTION | 6 renv-1.1.2/renv/MD5 | 110 +++++++-------- renv-1.1.2/renv/NAMESPACE | 1 renv-1.1.2/renv/NEWS.md | 26 +++ renv-1.1.2/renv/R/abi.R | 4 renv-1.1.2/renv/R/aliases.R | 8 - renv-1.1.2/renv/R/available-packages.R | 2 renv-1.1.2/renv/R/bioconductor.R | 75 +++++----- renv-1.1.2/renv/R/cache.R | 12 - renv-1.1.2/renv/R/caution.R | 14 - renv-1.1.2/renv/R/clean.R | 12 - renv-1.1.2/renv/R/config-defaults.R | 9 + renv-1.1.2/renv/R/dependencies.R | 2 renv-1.1.2/renv/R/diagnostics.R | 16 ++ renv-1.1.2/renv/R/download.R | 3 renv-1.1.2/renv/R/equip-macos.R | 4 renv-1.1.2/renv/R/extsoft.R | 4 renv-1.1.2/renv/R/hydrate.R | 4 renv-1.1.2/renv/R/install.R | 15 +- renv-1.1.2/renv/R/library.R | 2 renv-1.1.2/renv/R/load.R | 26 --- renv-1.1.2/renv/R/lockfile-read.R | 2 renv-1.1.2/renv/R/mask.R | 7 renv-1.1.2/renv/R/migrate.R | 2 renv-1.1.2/renv/R/platform.R | 27 +++ renv-1.1.2/renv/R/properties.R | 6 renv-1.1.2/renv/R/purge.R | 4 renv-1.1.2/renv/R/python-virtualenv.R | 4 renv-1.1.2/renv/R/rehash.R | 2 renv-1.1.2/renv/R/repair.R | 2 renv-1.1.2/renv/R/restore.R | 7 renv-1.1.2/renv/R/retrieve.R | 4 renv-1.1.2/renv/R/snapshot.R | 32 ++-- renv-1.1.2/renv/R/status.R | 2 renv-1.1.2/renv/R/sysreqs.R |only renv-1.1.2/renv/R/tests.R | 12 - renv-1.1.2/renv/R/update.R | 4 renv-1.1.2/renv/R/upgrade.R | 14 + renv-1.1.2/renv/R/zzz.R | 12 - renv-1.1.2/renv/inst/config.yml | 8 + renv-1.1.2/renv/inst/repos/src/contrib/PACKAGES | 4 renv-1.1.2/renv/inst/repos/src/contrib/PACKAGES.gz |binary renv-1.1.2/renv/inst/repos/src/contrib/PACKAGES.rds |binary renv-1.1.2/renv/inst/repos/src/contrib/renv_1.1.2.tar.gz |only renv-1.1.2/renv/inst/sysreqs |only renv-1.1.2/renv/man/config.Rd | 2 renv-1.1.2/renv/man/sysreqs.Rd |only renv-1.1.2/renv/man/upgrade.Rd | 12 + renv-1.1.2/renv/tests/testthat/_snaps/caution.md | 6 renv-1.1.2/renv/tests/testthat/helper-setup.R | 24 ++- renv-1.1.2/renv/tests/testthat/test-caution.R | 12 - renv-1.1.2/renv/tests/testthat/test-init.R | 5 renv-1.1.2/renv/tests/testthat/test-internal.R | 2 renv-1.1.2/renv/tests/testthat/test-lockfile.R | 24 +++ renv-1.1.2/renv/tests/testthat/test-reload.R | 3 renv-1.1.2/renv/tests/testthat/test-remotes.R | 1 renv-1.1.2/renv/tests/testthat/test-snapshot.R | 14 + renv-1.1.2/renv/tests/testthat/test-sysreqs.R |only 59 files changed, 400 insertions(+), 215 deletions(-)
Title: Election Vote Counting
Description: Counting election votes and determining election results by different methods, including
the single transferable vote or ranked choice, approval, score, plurality, condorcet and two-round
runoff methods (Raftery et al., 2021 <doi:10.32614/RJ-2021-086>).
Author: Hana Sevcikova [aut, cre],
Bernard Silverman [aut],
Adrian Raftery [aut]
Maintainer: Hana Sevcikova <hanas@uw.edu>
Diff between vote versions 2.4-3 dated 2023-12-10 and 2.4-4 dated 2025-03-02
ChangeLog | 4 ++++ DESCRIPTION | 27 ++++++++++++++++++++------- MD5 | 16 ++++++++-------- R/stv.R | 6 ++++-- build/partial.rdb |binary data/ims_approval.rda |binary data/ims_plurality.rda |binary data/ims_score.rda |binary data/ims_stv.rda |binary 9 files changed, 36 insertions(+), 17 deletions(-)
Title: Forest Yield Tables for Northwest Germany and their Application
Description: The new yield tables developed by the Northwest German Forest
Research Institute (NW-FVA) provide a forest management tool for the five
main commercial tree species oak, beech, spruce, Douglas-fir and pine for
northwestern Germany. The new method applied for deriving yield tables
combines measurements of growth and yield trials with growth simulations
using a state-of-the-art single-tree growth simulator. By doing so, the new
yield tables reflect the current increment level and the recommended
graduated thinning from above is the underlying management concept. The yield
tables are provided along with methods for deriving the site index and for
interpolating between age and site indices and extrapolating beyond age and
site index ranges. The inter-/extrapolations are performed traditionally by
the rule of proportion or with a functional approach.
Author: Robert Nuske [aut, cre] ,
Kai Staupendahl [aut] ,
Matthias Albert [aut] ,
Nordwestdeutsche Forstliche Versuchsanstalt [cph, fnd]
Maintainer: Robert Nuske <robert.nuske@mailbox.org>
Diff between et.nwfva versions 0.1.1 dated 2022-11-22 and 0.2.0 dated 2025-03-02
DESCRIPTION | 10 +- LICENSE |only MD5 | 40 ++++++----- NEWS.md | 7 ++ R/bonitieren.R | 29 +++++--- R/bontrans.R | 7 +- R/hoehen.R | 55 ++++++++++------ R/klassisches.R | 8 ++ R/tafel.R | 21 ++++-- README.md | 13 +++ build/vignette.rds |binary inst/doc/beispiele.R | 2 inst/doc/beispiele.html | 132 +++++++++++++++++++++++---------------- inst/doc/nutzerhinweise.html | 29 ++++++++ inst/doc/vergleich_methoden.R | 2 inst/doc/vergleich_methoden.html | 32 +++++++++ inst/tinytest/test_issues.R |only inst/tinytest/test_tafel.R | 8 ++ man/et_bonitaet.Rd | 8 +- man/et_bontrans.Rd | 7 +- man/et_hoehe.Rd | 32 +++++---- man/et_tafel.Rd | 9 +- 22 files changed, 310 insertions(+), 141 deletions(-)
Title: Random Fields on Metric Graphs
Description: Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages 'INLA' and 'inlabru' are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2024) <doi:10.3150/23-BEJ1647>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.1090/mcom/3929> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.
Author: David Bolin [cre, aut],
Alexandre Simas [aut],
Jonas Wallin [aut]
Maintainer: David Bolin <davidbolin@gmail.com>
Diff between MetricGraph versions 1.4.0 dated 2024-12-13 and 1.4.1 dated 2025-03-02
DESCRIPTION | 8 MD5 | 25 +- NAMESPACE | 4 NEWS.md | 5 R/RcppExports.R | 4 R/metric_graph.R | 465 +++++++++++++++++++++++++----------------- R/psp_to_metricgraph.R |only R/selected_inv.R |only R/util.R | 239 ++++++++------------- inst/CITATION | 7 inst/doc/MetricGraph_pkg.html | 4 man/linnet.to.graph.Rd |only man/psp.to.graph.Rd |only man/selected_inv.Rd |only man/stlpp.to.graph.Rd |only src/RcppExports.cpp | 12 + src/selected_inv.cpp |only 17 files changed, 432 insertions(+), 341 deletions(-)
Title: An Extension of 'Tidymodels' Supporting Offset Terms
Description: Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to
enable the creation of predictive models with offset terms. Models with
offsets are most useful when working with count data or when fitting an
adjustment model on top of an existing model with a prior expectation.
The former situation is common in insurance where data is often weighted by
exposures. The latter is common in life insurance where industry mortality
tables are often used as a starting point for setting assumptions.
Author: Matt Heaphy [aut, cre, cph]
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>
Diff between offsetreg versions 1.1.0 dated 2024-04-11 and 1.1.1 dated 2025-03-02
DESCRIPTION | 10 MD5 | 36 +-- NEWS.md | 4 R/boost_tree_offset.R | 2 R/glm.R | 174 ++++++++------- R/glmnet.R | 140 ++++++------ R/poisson_reg_offset.R | 2 R/rpart.R | 162 +++++++------- R/us_deaths.R | 2 R/xgboost.R | 528 ++++++++++++++++++++++++------------------------ build/vignette.rds |binary inst/doc/usage.R | 4 inst/doc/usage.html | 56 ++--- man/glm_offset.Rd | 8 man/glmnet_offset.Rd | 8 man/rpart_exposure.Rd | 6 man/us_deaths.Rd | 2 man/xgb_train_offset.Rd | 16 - tests/testthat.R | 1 19 files changed, 590 insertions(+), 571 deletions(-)
Title: Comparing and Visualizing Differences Between Surveys
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Po [...truncated...]
Author: Bjoern Rohr [aut, cre, cph],
Barbara Felderer [aut]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>
Diff between sampcompR versions 0.2.6 dated 2024-12-08 and 0.3.0 dated 2025-03-02
DESCRIPTION | 10 MD5 | 25 NAMESPACE | 4 NEWS.md | 14 R/Bivdiff.R | 42 - R/Bivdiff_Plot.R | 1685 +++++++++---------------------------------- R/Multidiff.R | 11 R/Multidiff_Plot.R | 4 R/Output_Tables.R | 427 +++++++++- R/Unidiff.R | 21 R/Unidiff_Plot.R | 2 man/biv_bias_per_variable.Rd |only man/heatmap_biv_compare.Rd |only man/missing_table.Rd |only man/plot_biv_compare.Rd | 2 15 files changed, 823 insertions(+), 1424 deletions(-)
Title: A Fast, User-Friendly Implementation of Self-Organizing Maps
(SOMs)
Description: Methods for building self-organizing maps (SOMs) with a number of distinguishing features such automatic centroid detection and cluster visualization using starbursts. For more details see the paper "Improved Interpretability of the Unified Distance Matrix with Connected Components" by Hamel and Brown (2011) in <ISBN:1-60132-168-6>. The package provides user-friendly access to two models we construct: (a) a SOM model and (b) a centroid based clustering model. The package also exposes a number of quality metrics for the quantitative evaluation of the map, Hamel (2016) <doi:10.1007/978-3-319-28518-4_4>. Finally, we reintroduced our fast, vectorized training algorithm for SOM with substantial improvements. It is about an order of magnitude faster than the canonical, stochastic C implementation <doi:10.1007/978-3-030-01057-7_60>.
Author: Lutz Hamel [aut, cre],
Benjamin Ott [aut],
Gregory Breard [aut],
Robert Tatoian [aut],
Michael Eiger [aut],
Vishakh Gopu [aut]
Maintainer: Lutz Hamel <lutzhamel@uri.edu>
Diff between popsom7 versions 7.0.0 dated 2025-02-19 and 7.1.0 dated 2025-03-02
popsom7-7.0.0/popsom7/tests/testthat/Rplots.pdf |only popsom7-7.1.0/popsom7/DESCRIPTION | 16 +-- popsom7-7.1.0/popsom7/MD5 | 18 ++- popsom7-7.1.0/popsom7/NAMESPACE | 2 popsom7-7.1.0/popsom7/NEWS.md | 6 + popsom7-7.1.0/popsom7/R/maputils.R | 100 ++++++++++++++++---- popsom7-7.1.0/popsom7/man/map.significance.Rd | 9 - popsom7-7.1.0/popsom7/src |only popsom7-7.1.0/popsom7/tests/testthat/test-build.R | 2 popsom7-7.1.0/popsom7/tests/testthat/test-summary.R | 2 10 files changed, 108 insertions(+), 47 deletions(-)
Title: Sensitivities of Prices of Financial Options and Implied
Volatilities
Description: Methods to calculate sensitivities of financial option prices for
European, geometric and arithmetic Asian, and American options, with various
payoff functions in the Black Scholes model, and in more general jump diffusion
models. A shiny app to interactively plot the results is included. Furthermore,
methods to compute implied volatilities are provided for a wide range of option
types and custom payoff functions. Classical formulas are implemented for
European options in the Black Scholes Model, as is presented in Hull, J. C.
(2017), Options, Futures, and Other Derivatives.
In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see
Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential
Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American
options, the Binomial Tree Method is implemented, as is presented in Hull,
J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>
Diff between greeks versions 1.4.3 dated 2024-09-17 and 1.4.4 dated 2025-03-02
DESCRIPTION | 6 +-- MD5 | 8 ++--- R/Greeks_UI.R | 4 +- R/Malliavin_Geometric_Asian_Greeks.R | 26 +++++++++-------- tests/testthat/test-Malliavin_Geometric_Asian_Greeks.R | 2 - 5 files changed, 24 insertions(+), 22 deletions(-)
Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre],
Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>
Diff between quickcode versions 1.0.5 dated 2025-02-03 and 1.0.6 dated 2025-03-02
DESCRIPTION | 6 +- MD5 | 53 ++++++++++++------- NAMESPACE | 30 +++++++++++ NEWS.md | 6 ++ R/aaa.R | 10 +-- R/aided_chatgpt.R |only R/date.R | 2 R/detect_outlier.R |only R/github.R | 4 + R/pkg_by.R | 4 - R/track.R | 17 +++++- R/trim_file.R |only README.md | 28 ++++++++-- inst/doc/add_today_date_to_filenames_quickcode.html | 54 ++++++++++---------- inst/doc/nullish_coalescing_operator_r.html | 4 - inst/doc/quickcode_r_introduction.html | 4 - inst/doc/track_function_usage_r.html | 4 - inst/rstudio/addins.dcf | 5 + man/cols.rep.Rd |only man/date_tweaks.Rd | 4 + man/detect_outlier2.Rd |only man/find_packages.Rd | 4 - man/from_tensor_slices.Rd |only man/github-tweaks.Rd | 4 + man/learn_rate_scheduler.Rd |only man/mode.calc.Rd |only man/multihead_att.Rd |only man/na.cumsum.Rd |only man/normalize.vector.Rd |only man/outlierdetect1.Rd |only man/rows.rep.Rd |only man/simplechaining.Rd | 4 - man/sub.range.Rd |only man/track_func.Rd | 18 +++++- man/trim.file.Rd |only 35 files changed, 187 insertions(+), 78 deletions(-)
Title: Processing METAR Weather Reports
Description: Allows to download current and historical METAR weather reports
extract and parse basic parameters and present main weather information.
Current reports are downloaded from Aviation Weather Center
<https://aviationweather.gov/data/metar/> and historical reports from
Iowa Environmental Mesonet web page of Iowa State University
ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.
Author: Pawel Cwiek [aut, cre],
David Megginson [ctb] ,
Greg Thompson [ctb]
Maintainer: Pawel Cwiek <prc.altodato@gmail.com>
Diff between pmetar versions 0.5.0 dated 2023-10-25 and 0.5.1 dated 2025-03-02
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- R/metar_decode.R | 4 +++- R/pmetar-package.R | 2 +- README.md | 3 ++- build/vignette.rds |binary data/ourairports.rda |binary inst/doc/pmetar.R | 8 ++++---- inst/doc/pmetar.html | 28 ++++++++++++++-------------- man/mst.Rd | 2 +- tests/testthat/test_metar_location.R | 2 +- 11 files changed, 40 insertions(+), 37 deletions(-)
Title: Likelihood-Free Parameter Estimation using Neural Networks
Description: An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package facilitates the user-friendly development of neural Bayes estimators, which are neural networks that map data to a point summary of the posterior distribution (Sainsbury-Dale et al., 2024, <doi:10.1080/00031305.2023.2249522>). These estimators are likelihood-free and amortised, in the sense that, once the neural networks are trained on simulated data, inference from observed data can be made in a fraction of the time required by conventional approaches. The package also supports amortised Bayesian or frequentist inference using neural networks that approximate the posterior or likelihood-to-evidence ratio (Zammit-Mangion et al., 2025, Sec. 3.2, 5.2, <doi:10.48550/arXiv.2404.12484>). The package accommodates any model for which simulation is feasible by allowing users to define models implicitly through simulated data.
Author: Matthew Sainsbury-Dale [aut, cre]
Maintainer: Matthew Sainsbury-Dale <msainsburydale@gmail.com>
Diff between NeuralEstimators versions 0.1.3 dated 2025-01-14 and 0.2.0 dated 2025-03-02
NeuralEstimators-0.1.3/NeuralEstimators/man/initialise_estimator.Rd |only NeuralEstimators-0.1.3/NeuralEstimators/man/loadweights.Rd |only NeuralEstimators-0.1.3/NeuralEstimators/man/mapestimate.Rd |only NeuralEstimators-0.1.3/NeuralEstimators/man/mlestimate.Rd |only NeuralEstimators-0.1.3/NeuralEstimators/man/spatialgraphlist.Rd |only NeuralEstimators-0.2.0/NeuralEstimators/DESCRIPTION | 12 NeuralEstimators-0.2.0/NeuralEstimators/MD5 | 54 NeuralEstimators-0.2.0/NeuralEstimators/NAMESPACE | 6 NeuralEstimators-0.2.0/NeuralEstimators/R/NeuralEstimators.R | 4 NeuralEstimators-0.2.0/NeuralEstimators/R/core.R | 403 -- NeuralEstimators-0.2.0/NeuralEstimators/R/missingdata.R | 172 - NeuralEstimators-0.2.0/NeuralEstimators/README.md | 15 NeuralEstimators-0.2.0/NeuralEstimators/inst/doc/NeuralEstimators.html | 1416 +++++----- NeuralEstimators-0.2.0/NeuralEstimators/man/NeuralEstimators-package.Rd | 11 NeuralEstimators-0.2.0/NeuralEstimators/man/assess.Rd | 12 NeuralEstimators-0.2.0/NeuralEstimators/man/bias.Rd | 4 NeuralEstimators-0.2.0/NeuralEstimators/man/bootstrap.Rd | 31 NeuralEstimators-0.2.0/NeuralEstimators/man/encodedata.Rd | 9 NeuralEstimators-0.2.0/NeuralEstimators/man/estimate.Rd | 32 NeuralEstimators-0.2.0/NeuralEstimators/man/loadstate.Rd | 6 NeuralEstimators-0.2.0/NeuralEstimators/man/posteriormode.Rd |only NeuralEstimators-0.2.0/NeuralEstimators/man/risk.Rd | 2 NeuralEstimators-0.2.0/NeuralEstimators/man/rmse.Rd | 4 NeuralEstimators-0.2.0/NeuralEstimators/man/sampleposterior.Rd | 29 NeuralEstimators-0.2.0/NeuralEstimators/man/spatialgraph.Rd | 55 NeuralEstimators-0.2.0/NeuralEstimators/man/tanhloss.Rd | 2 NeuralEstimators-0.2.0/NeuralEstimators/man/train.Rd | 28 NeuralEstimators-0.2.0/NeuralEstimators/tests/testthat.R | 10 NeuralEstimators-0.2.0/NeuralEstimators/tests/testthat/test-core.R | 41 NeuralEstimators-0.2.0/NeuralEstimators/tests/testthat/test-missingdata.R | 115 NeuralEstimators-0.2.0/NeuralEstimators/tests/testthat/test-plotting.R | 35 31 files changed, 1192 insertions(+), 1316 deletions(-)
More information about NeuralEstimators at CRAN
Permanent link
Title: Tools for Outbreak Investigation/Infectious Disease Surveillance
Description: Create epicurves or epigantt charts in 'ggplot2'. Prepare
data for visualisation or other reporting for infectious disease
surveillance and outbreak investigation. Includes tidy functions to solve
date based transformations for common reporting tasks, like
(A) seasonal date alignment for respiratory disease surveillance,
(B) date-based case binning based on specified time intervals like
isoweek, epiweek, month and more, (C) automated detection and marking
of the new year based on the date/datetime axis of the 'ggplot2'.
An introduction on how to use epicurves can be found on the US CDC website
(2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>
Diff between ggsurveillance versions 0.1.2 dated 2025-02-11 and 0.2.0 dated 2025-03-02
DESCRIPTION | 6 - MD5 | 56 +++++++----- NAMESPACE | 2 NEWS.md | 9 +- R/create_agegroups.R | 6 - R/data.R | 54 ++++++++++++ R/geom_epicurve.R | 8 - R/geom_epigantt.R | 86 ++++++++++++++++++- R/geometric_mean.R | 10 +- R/scale_discrete_reverse.R |only README.md | 42 +++++++-- data/linelist_hospital_outbreak.rda |only inst/WORDLIST | 8 + inst/doc/Epigantt_with_ggsurveillance.R | 52 +++++++++++ inst/doc/Epigantt_with_ggsurveillance.Rmd | 63 +++++++++++++- inst/doc/Epigantt_with_ggsurveillance.html | 120 +++++++++++++++++++++------ inst/doc/align_dates_seasonal.R | 2 inst/doc/align_dates_seasonal.Rmd | 2 inst/doc/align_dates_seasonal.html | 2 man/create_agegroups.Rd | 6 - man/figures/ggepicurve_plot_readme.png |only man/figures/seasonal_plot_readme.png |binary man/geom_epicurve.Rd | 8 - man/geom_epigantt.Rd | 113 +++++++++++++------------ man/geometric_mean.Rd | 5 - man/linelist_hospital_outbreak.Rd |only man/scale_y_discrete_reverse.Rd |only tests/testthat/test-geom_epicurve.R | 15 ++- tests/testthat/test-geom_epigantt.R |only tests/testthat/test-geom_vline_year.R |only tests/testthat/test-scale_discrete_reverse.R |only vignettes/Epigantt_with_ggsurveillance.Rmd | 63 +++++++++++++- vignettes/align_dates_seasonal.Rmd | 2 33 files changed, 576 insertions(+), 164 deletions(-)
More information about ggsurveillance at CRAN
Permanent link
Title: Radix Tree and Trie-Based String Distances
Description: A collection of Radix Tree and Trie algorithms for finding similar sequences and calculating sequence distances (Levenshtein and other distance metrics). This work was inspired by a trie implementation in Python: "Fast and Easy Levenshtein distance using a Trie." Hanov (2011) <https://stevehanov.ca/blog/index.php?id=114>.
Author: Travers Ching [aut, cre, cph],
Martin Moene [ctb, cph] ,
Steve Hanov [ctb] ,
Martin Leitner-Ankerl [ctb]
Maintainer: Travers Ching <traversc@gmail.com>
Diff between seqtrie versions 0.2.8 dated 2024-05-04 and 0.2.9 dated 2025-03-02
ChangeLog | 4 DESCRIPTION | 12 +- MD5 | 28 +++--- README.md | 17 +--- build/vignette.rds |binary inst/doc/vignette.R | 25 ++---- inst/doc/vignette.html | 189 ++++++++++++++++++++++++++-------------------- inst/doc/vignette.rmd | 5 - src/CharCounter.cpp | 6 - src/RadixForest.cpp | 8 - src/RadixTree.cpp | 8 - src/seqtrie_types.h | 7 + tests/test_pairwise.R | 36 ++++++-- vignettes/simple_tree.png |binary vignettes/vignette.rmd | 5 - 15 files changed, 199 insertions(+), 151 deletions(-)
Title: Tools to Analyze Repertory Grid Data
Description: Analyze repertory grids, a qualitative-quantitative
data collection technique devised by George A. Kelly in the 1950s. Today, grids are used across
various domains ranging from clinical psychology to marketing. The package contains functions
to quantitatively analyze and visualize repertory grid data (e.g. 'Fransella', 'Bell', & 'Bannister',
2004, ISBN: 978-0-470-09080-0). The package is part of the The package is part of the
<https://openrepgrid.org/> project.
Author: Mark Heckmann [aut, cre, cph] ,
Alejandro Garcia Gutierrez [ctb],
Diego Vitali [ctb]
Maintainer: Mark Heckmann <heckmann.mark@gmail.com>
Diff between OpenRepGrid versions 0.1.16 dated 2024-12-02 and 0.1.17 dated 2025-03-02
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Title: Propensity Score Weighting for Causal Inference with
Observational Studies and Randomized Trials
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.
Author: Tianhui Zhou [aut],
Guangyu Tong [aut],
Fan Li [aut],
Laine Thomas [aut],
Fan Li [aut],
Yukang Zeng [cre]
Maintainer: Yukang Zeng <yukang.zeng@yale.edu>
Diff between PSweight versions 2.1.0 dated 2025-02-12 and 2.1.1 dated 2025-03-02
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