Title: Minimization Tool for Pharmacokinetic-Pharmacodynamic Data
Analysis
Description: This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Diff between wnl versions 0.8.2 dated 2025-02-21 and 0.8.3 dated 2025-03-22
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/ExpandDH.R | 27 ++++++++++++++------------- inst/NEWS.Rd | 6 ++++++ 4 files changed, 26 insertions(+), 19 deletions(-)
Title: Demographic Analysis and Data Manipulation
Description: Perform tasks commonly encountered when
preparing and analysing demographic data.
Some functions are intended for end users, and
others for developers. Includes functions for
working with life tables.
Author: John Bryant [aut, cre],
Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>
Diff between poputils versions 0.3.3 dated 2024-09-13 and 0.4.0 dated 2025-03-22
DESCRIPTION | 6 MD5 | 47 ++-- NAMESPACE | 1 NEWS.md | 28 ++ R/age.R | 117 +++++++---- R/check-functions.R | 130 +++++++++---- R/datasets.R | 24 ++ R/ex_to_lifetab.R | 148 +++++++-------- R/lifetab.R | 318 +++++++++++++++++++++----------- R/poputils-package.R | 7 R/tfr.R |only README.md | 59 +++--- build/vignette.rds |binary data/iran_fertility.rda |only inst/doc/poputils.R | 17 + inst/doc/poputils.Rmd | 69 ++++--- inst/doc/poputils.html | 253 +++++++++++++++---------- man/check_age.Rd | 26 ++ man/iran_fertility.Rd |only man/lifetab.Rd | 31 ++- man/poputils-package.Rd | 7 man/tfr.Rd |only tests/testthat/test-age.R | 15 + tests/testthat/test-check-functions.R | 130 ++++++++++++- tests/testthat/test-lifetab.R | 332 ++++++++++++++++++++++++++++++++++ tests/testthat/test-tfr.R |only vignettes/poputils.Rmd | 69 ++++--- 27 files changed, 1347 insertions(+), 487 deletions(-)
Title: Optimal Convex M-Estimation for Linear Regression via Antitonic
Score Matching
Description: Performs linear regression with respect to a data-driven convex loss function that is chosen to minimize the asymptotic covariance of the resulting M-estimator. The convex loss function is estimated in 5 steps: (1) form an initial OLS (ordinary least squares) or LAD (least absolute deviation) estimate of the regression coefficients; (2) use the resulting residuals to obtain a kernel estimator of the error density; (3) estimate the score function of the errors by differentiating the logarithm of the kernel density estimate; (4) compute the L2 projection of the estimated score function onto the set of decreasing functions; (5) take a negative antiderivative of the projected score function estimate. Newton's method (with Hessian modification) is then used to minimize the convex empirical risk function. Further details of the method are given in Feng et al. (2024) <doi:10.48550/arXiv.2403.16688>.
Author: Yu-Chun Kao [aut],
Oliver Y. Feng [aut],
Lucy Xia [aut],
Yang Feng [aut],
Min Xu [aut, cre],
Richard J. Samworth [aut]
Maintainer: Min Xu <min.cut@gmail.com>
Diff between asm versions 0.2.1 dated 2025-01-28 and 0.2.2 dated 2025-03-22
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/asm.R | 17 ++++++++++------- man/asm.fit.Rd | 4 ++-- tests/testthat/test-asm.R | 1 + 5 files changed, 21 insertions(+), 17 deletions(-)
Title: Plotting Football Matches Expected Goals (xG) Stats with
'Understat' Data
Description: Scrapes football match shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots:
- A detailed shot map displaying the location, type, and xG value of shots taken by both teams.
- An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>
Diff between ggfootball versions 0.2.0 dated 2025-01-31 and 0.2.1 dated 2025-03-22
DESCRIPTION | 16 +++-- MD5 | 19 +++---- NAMESPACE | 18 ------ NEWS.md | 10 ++- R/team_formation.R |only R/understat_scraper.R | 21 +------ R/xg_chart.R | 134 +++++++++++++++++++++++--------------------------- R/xg_map.R | 116 ++++++++++++++++++++----------------------- README.md | 2 man/xg_chart.Rd | 1 man/xg_map.Rd | 1 11 files changed, 150 insertions(+), 188 deletions(-)
Title: Turn Features On and Off using Feature Flags
Description: Feature flags allow developers to turn features of their
software on and off in form of configuration. This package provides
functions for creating feature flags in code. It exposes an interface
for defining own feature flags which are enabled based on custom criteria.
Author: Ryszard Szymanski [aut, cre]
Maintainer: Ryszard Szymanski <ryszard.szymanski@outlook.com>
Diff between featureflag versions 0.1.0 dated 2021-02-18 and 0.2.0 dated 2025-03-22
DESCRIPTION | 12 LICENSE | 4 MD5 | 86 +- NAMESPACE | 26 NEWS.md | 10 R/feature_flag-bool.R | 143 ++-- R/feature_flag-connect_group.R |only R/feature_flag-connect_user.R |only R/feature_flag-env_var.R |only R/feature_flag-percentage.R |only R/feature_flag-time_period.R |only R/feature_flag.R | 120 +-- R/helpers.R | 160 ++-- R/utils.R | 102 ++ README.md | 260 +++---- build/vignette.rds |binary inst/WORDLIST | 11 inst/doc/define-custom-feature-flags.R | 72 +- inst/doc/define-custom-feature-flags.Rmd | 152 ++-- inst/doc/define-custom-feature-flags.html | 797 ++++++++++++----------- inst/doc/intro.R | 72 +- inst/doc/intro.Rmd | 150 ++-- inst/doc/intro.html | 776 ++++++++++++---------- man/create_bool_feature_flag.Rd | 52 - man/create_connect_group_feature_flag.Rd |only man/create_connect_user_feature_flag.Rd |only man/create_env_var_feature_flag.Rd |only man/create_feature_flag.Rd | 30 man/create_percentage_feature_flag.Rd |only man/create_time_period_feature_flag.Rd |only man/feature_if.Rd | 72 +- man/feature_ifelse.Rd | 80 +- man/is_enabled.Rd | 34 man/is_enabled.bool_feature_flag.Rd | 54 - man/is_enabled.connect_group_feature_flag.Rd |only man/is_enabled.connect_user_feature_flag.Rd |only man/is_enabled.env_var_feature_flag.Rd |only man/is_enabled.percentage_feature_flag.Rd |only man/is_enabled.time_period_feature_flag.Rd |only tests/spelling.R | 12 tests/testthat.R | 16 tests/testthat/_snaps |only tests/testthat/test-feature_flag-bool.R | 40 - tests/testthat/test-feature_flag-connect_group.R |only tests/testthat/test-feature_flag-connect_user.R |only tests/testthat/test-feature_flag-env_var.R |only tests/testthat/test-feature_flag-percentage.R |only tests/testthat/test-feature_flag-time_period.R |only tests/testthat/test-helpers.R | 146 ++-- tests/testthat/test-sample.R | 6 tests/testthat/test-utils.R |only vignettes/define-custom-feature-flags.Rmd | 152 ++-- vignettes/intro.Rmd | 150 ++-- 53 files changed, 2018 insertions(+), 1779 deletions(-)
Title: Symmetric Transformation of Tails for Plotting Differences
Description: When plotting treated-minus-control differences, after-minus-before changes, or difference-in-differences, the ttrans() function symmetrically transforms the positive and negative tails to aid plotting. The package includes an observational study with three control groups and an unaffected outcome; see Rosenbaum (2022) <doi:10.1080/00031305.2022.2063944>.
Author: Paul R. Rosenbaum [aut, cre]
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Diff between tailTransform versions 1.0.4 dated 2022-03-21 and 2.0.0 dated 2025-03-22
DESCRIPTION | 14 +++++++++----- MD5 | 20 ++++++++++++-------- R/boxplotBlockDesign.R |only R/boxplotTT.R | 4 ++-- R/boxplotTTlist.R |only R/ttrans.R | 4 ++-- build/partial.rdb |binary man/aHDL.Rd | 15 ++++++++------- man/boxplotBlockDesign.Rd |only man/boxplotTT.Rd | 8 +++++--- man/boxplotTTlist.Rd |only man/tailTransform-package.Rd | 11 ++++++++--- man/ttrans.Rd | 4 ++-- 13 files changed, 48 insertions(+), 32 deletions(-)
Title: Split, Combine and Compress PDF Files
Description: Content-preserving transformations transformations of PDF files such
as split, combine, and compress. This package interfaces directly to the 'qpdf'
C++ library <https://qpdf.sourceforge.io/> and does not require any command
line utilities. Note that 'qpdf' does not read actual content from PDF files:
to extract text and data you need the 'pdftools' package.
Author: Jeroen Ooms [aut, cre] ,
Ben Raymond [ctb],
Jay Berkenbilt [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between qpdf versions 1.3.4 dated 2024-10-04 and 1.3.5 dated 2025-03-22
DESCRIPTION | 6 +++--- MD5 | 4 ++-- src/Makevars | 7 ++++--- 3 files changed, 9 insertions(+), 8 deletions(-)
Title: High-Performance Stemmer, Tokenizer, and Spell Checker
Description: Low level spell checker and morphological analyzer based on the
famous 'hunspell' library <https://hunspell.github.io>. The package can analyze
or check individual words as well as parse text, latex, html or xml documents.
For a more user-friendly interface use the 'spelling' package which builds on
this package to automate checking of files, documentation and vignettes in all
common formats.
Author: Jeroen Ooms [aut, cre],
Authors of libhunspell [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between hunspell versions 3.0.5 dated 2024-10-04 and 3.0.6 dated 2025-03-22
DESCRIPTION | 6 +++--- MD5 | 6 +++--- build/vignette.rds |binary src/Makevars | 6 +++--- 4 files changed, 9 insertions(+), 9 deletions(-)
Title: Google's Compact Language Detector 2
Description: Bindings to Google's C++ library Compact Language Detector 2
(see <https://github.com/cld2owners/cld2#readme> for more information). Probabilistically
detects over 80 languages in plain text or HTML. For mixed-language input it returns the
top three detected languages and their approximate proportion of the total classified
text bytes (e.g. 80% English and 20% French out of 1000 bytes). There is also a 'cld3'
package on CRAN which uses a neural network model instead.
Author: Jeroen Ooms [aut, cre] ,
Dirk Sites [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between cld2 versions 1.2.5 dated 2024-10-04 and 1.2.6 dated 2025-03-22
DESCRIPTION | 6 +++--- MD5 | 4 ++-- src/Makevars | 6 +++--- 3 files changed, 8 insertions(+), 8 deletions(-)
Title: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Description: Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic
factor analysis is a dimension reduction tool for multivariate time series.
'bayesdfa' extends conventional dynamic factor models in several ways.
First, extreme events may be estimated in the latent trend by modeling
process error with a student-t distribution. Second, alternative constraints
(including proportions are allowed). Third, the estimated
dynamic factors can be analyzed with hidden Markov models to evaluate
support for latent regimes.
Author: Eric J. Ward [aut, cre],
Sean C. Anderson [aut],
Luis A. Damiano [aut],
Michael J. Malick [aut],
Philina A. English [aut],
Mary E. Hunsicker, [ctb],
Mike A. Litzow [ctb],
Mark D. Scheuerell [ctb],
Elizabeth E. Holmes [ctb],
Nick Tolimieri [ctb],
Trus [...truncated...]
Maintainer: Eric J. Ward <eric.ward@noaa.gov>
Diff between bayesdfa versions 1.3.3 dated 2024-02-26 and 1.3.4 dated 2025-03-22
bayesdfa-1.3.3/bayesdfa/tests/testthat/Rplots.pdf |only bayesdfa-1.3.4/bayesdfa/DESCRIPTION | 14 +-- bayesdfa-1.3.4/bayesdfa/MD5 | 35 ++++---- bayesdfa-1.3.4/bayesdfa/NEWS.md | 4 bayesdfa-1.3.4/bayesdfa/R/bayesdfa-package.R | 1 bayesdfa-1.3.4/bayesdfa/R/fit_dfa.R | 6 + bayesdfa-1.3.4/bayesdfa/build/vignette.rds |binary bayesdfa-1.3.4/bayesdfa/inst/doc/a1_bayesdfa.R | 42 +++++----- bayesdfa-1.3.4/bayesdfa/inst/doc/a1_bayesdfa.html | 16 +-- bayesdfa-1.3.4/bayesdfa/inst/doc/a2_combining_data.html | 6 - bayesdfa-1.3.4/bayesdfa/inst/doc/a3_covariates.R | 16 +-- bayesdfa-1.3.4/bayesdfa/inst/doc/a3_covariates.html | 6 - bayesdfa-1.3.4/bayesdfa/inst/doc/a4_smooth.R | 24 ++--- bayesdfa-1.3.4/bayesdfa/inst/doc/a4_smooth.html | 6 - bayesdfa-1.3.4/bayesdfa/inst/doc/a5_estimate_process_sigma.html | 6 - bayesdfa-1.3.4/bayesdfa/inst/doc/a6_compositional.html | 6 - bayesdfa-1.3.4/bayesdfa/inst/doc/a7_bigdata.R | 8 - bayesdfa-1.3.4/bayesdfa/inst/doc/a7_bigdata.html | 6 - bayesdfa-1.3.4/bayesdfa/man/bayesdfa-package.Rd | 30 ------- 19 files changed, 105 insertions(+), 127 deletions(-)
Title: Latent Class Capture-Recapture Models
Description: Estimation of latent class models with individual covariates for capture-recapture data. See Bartolucci, F. and Forcina, A. (2022), Estimating the size of a closed population by modeling latent and observed heterogeneity, Biometrics, 80(2), ujae017.
Author: Francesco Bartolucci [aut, cre],
Antonio Forcina [aut]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>
Diff between LCCR versions 2.0 dated 2024-11-20 and 2.0.1 dated 2025-03-22
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/summary.confLCCR.R | 2 +- R/summary.confLCCRcon.R | 2 +- build/partial.rdb |binary 5 files changed, 10 insertions(+), 10 deletions(-)
Title: Seasonal/Sequential (Instants/Durations, Even or not) Time
Series
Description: Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time duration are handled. Both can be regularly or unevenly spaced (overlapping duration are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).
Author: Vladislav Navel [aut, cre]
Maintainer: Vladislav Navel <vnavel@yahoo.fr>
Diff between timetools versions 1.15.3 dated 2023-08-29 and 1.15.4 dated 2025-03-22
timetools-1.15.3/timetools/tests |only timetools-1.15.4/timetools/DESCRIPTION | 16 ++-- timetools-1.15.4/timetools/MD5 | 30 +++----- timetools-1.15.4/timetools/man/POSIXcti-class.Rd | 6 - timetools-1.15.4/timetools/man/POSIXctp-class.Rd | 20 ++--- timetools-1.15.4/timetools/man/POSIXst-class.Rd | 26 +++---- timetools-1.15.4/timetools/man/SubtimeDataFrame-class.Rd | 12 +-- timetools-1.15.4/timetools/man/TimeInstantDataFrame-class.Rd | 6 - timetools-1.15.4/timetools/man/TimeIntervalDataFrame-class.Rd | 8 +- timetools-1.15.4/timetools/man/changeSupport.Rd | 36 +++++----- timetools-1.15.4/timetools/man/compute.lim.Rd | 2 timetools-1.15.4/timetools/man/continuous.Rd | 2 timetools-1.15.4/timetools/man/overlapping.Rd | 2 timetools-1.15.4/timetools/man/tapply.Rd | 2 timetools-1.15.4/timetools/man/timetools-package.Rd | 6 - 15 files changed, 87 insertions(+), 87 deletions(-)
Title: Just Another Latent Space Network Clustering Algorithm
Description: Fit latent space network cluster models using an expectation-maximization algorithm. Enables flexible modeling of unweighted or weighted network data (with or without noise edges), supporting both directed and undirected networks (with or without degree heterogeneity). Designed to handle large networks efficiently, it allows users to explore network structure through latent space representations, identify clusters within network data, and simulate networks with varying clustering and connectivity patterns.
Author: Alan Arakkal [aut, cre, cph] ,
Daniel Sewell [aut]
Maintainer: Alan Arakkal <alan-arakkal@uiowa.edu>
Diff between JANE versions 0.2.1 dated 2024-12-19 and 1.0.0 dated 2025-03-22
DESCRIPTION | 14 MD5 | 77 ++- NAMESPACE | 31 + NEWS.md | 5 R/BICL.R | 45 +- R/JANE.R | 479 ++++++++++++++++++++---- R/RcppExports.R | 44 ++ R/check_initial_values.R | 55 ++ R/check_priors.R | 191 ++++++++- R/generics.R | 135 ++++-- R/imports.R | 20 - R/initialize_fun.R | 106 +++++ R/initialize_starting_values.R | 35 + R/initialize_starting_values_weighted_network.R |only R/plot_data.R | 12 R/sim_A.R | 397 +++++++++++++++++-- R/specify_initial_values.R | 166 ++++++-- R/specify_priors.R | 169 +++++++- R/terminate_EM.R | 62 ++- R/trace_plot.R | 65 ++- man/JANE.Rd | 60 +-- man/plot.JANE.Rd | 14 man/sim_A.Rd | 112 ++++- man/specify_initial_values.Rd | 38 + man/specify_priors.Rd | 81 +++- man/summary.JANE.Rd | 51 +- src/BIC_funs.cpp | 282 +++++++++++++- src/RcppExports.cpp | 175 ++++++++ src/initialize_starting_values.cpp | 2 src/sim_A.cpp | 31 + src/update_U_funs.cpp | 30 - src/update_beta2.cpp |only src/update_beta_funs.cpp | 16 src/update_prob_matrix_DA.cpp | 11 src/update_prob_matrix_W_DA.cpp |only src/update_q_prop.cpp |only src/update_tau_funs.cpp |only tests/testthat/test-JANE.R | 2 tests/testthat/test-generics.R | 8 tests/testthat/test-sim_A.R | 67 ++- tests/testthat/test-specify_initial_values.R | 2 tests/testthat/test-specify_priors.R | 2 42 files changed, 2569 insertions(+), 523 deletions(-)
Title: 'Rcpp' Integration of Different "Ziggurat" Normal RNG
Implementations
Description: The Ziggurat generator for normally distributed random
numbers, originally proposed by Marsaglia and Tsang (2000,
<doi:10.18637/jss.v005.i08>) has been improved upon a few times
starting with Leong et al (2005, <doi:10.18637/jss.v012.i07>).
This package provides an aggregation in order to compare different
implementations in order to provide a 'faster but good enough'
alternative for use with R and C++ code. See the 'zigg' package
for a lighter implementation for much easier use in other packages.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppZiggurat versions 0.1.6 dated 2020-10-20 and 0.1.7 dated 2025-03-22
RcppZiggurat-0.1.6/RcppZiggurat/vignettes/bib.tex |only RcppZiggurat-0.1.7/RcppZiggurat/ChangeLog | 108 ++++++++++- RcppZiggurat-0.1.7/RcppZiggurat/DESCRIPTION | 27 +- RcppZiggurat-0.1.7/RcppZiggurat/MD5 | 49 ++-- RcppZiggurat-0.1.7/RcppZiggurat/R/RcppExports.R | 8 RcppZiggurat-0.1.7/RcppZiggurat/R/chisqTest.R | 2 RcppZiggurat-0.1.7/RcppZiggurat/R/normalTest.R | 2 RcppZiggurat-0.1.7/RcppZiggurat/R/standardTest.R | 6 RcppZiggurat-0.1.7/RcppZiggurat/README.md | 8 RcppZiggurat-0.1.7/RcppZiggurat/build/partial.rdb |only RcppZiggurat-0.1.7/RcppZiggurat/build/vignette.rds |binary RcppZiggurat-0.1.7/RcppZiggurat/inst/NEWS.Rd | 30 ++- RcppZiggurat-0.1.7/RcppZiggurat/inst/doc/RcppZiggurat.R | 96 ++++----- RcppZiggurat-0.1.7/RcppZiggurat/inst/doc/RcppZiggurat.Rmd | 41 ++-- RcppZiggurat-0.1.7/RcppZiggurat/inst/doc/RcppZiggurat.pdf |binary RcppZiggurat-0.1.7/RcppZiggurat/inst/include/Ziggurat.h | 71 ++++++- RcppZiggurat-0.1.7/RcppZiggurat/inst/include/ZigguratR.h | 24 +- RcppZiggurat-0.1.7/RcppZiggurat/man/RcppZiggurat-package.Rd | 4 RcppZiggurat-0.1.7/RcppZiggurat/man/ziggurat.Rd | 21 +- RcppZiggurat-0.1.7/RcppZiggurat/src/Makevars.ucrt |only RcppZiggurat-0.1.7/RcppZiggurat/src/Makevars.win | 13 + RcppZiggurat-0.1.7/RcppZiggurat/src/RcppExports.cpp | 29 ++ RcppZiggurat-0.1.7/RcppZiggurat/src/ziggurat.cpp | 18 + RcppZiggurat-0.1.7/RcppZiggurat/tests/zigguratTest.R | 2 RcppZiggurat-0.1.7/RcppZiggurat/tests/zigguratTest.Rout.save | 14 - RcppZiggurat-0.1.7/RcppZiggurat/tools |only RcppZiggurat-0.1.7/RcppZiggurat/vignettes/RcppZiggurat.Rmd | 41 ++-- RcppZiggurat-0.1.7/RcppZiggurat/vignettes/RcppZiggurat.bib |only 28 files changed, 445 insertions(+), 169 deletions(-)
Title: Mathematical Formulas and Character Recognition
Description: By calling the 'SimpleTex' <https://simpletex.cn/> open API implements
text and mathematical formula recognition on the image, and the output formula
can be used directly with 'Markdown' and 'LaTeX'.
Author: Xinyuan Chu [aut, cre]
Maintainer: Xinyuan Chu <chuxinyuan@outlook.com>
Diff between simpletex versions 1.0.4 dated 2024-07-07 and 1.0.5 dated 2025-03-22
DESCRIPTION | 14 - LICENSE | 2 MD5 | 18 - R/imgocr.R | 2 README.md | 94 +++---- build/vignette.rds |binary inst/doc/simpletex.R | 22 - inst/doc/simpletex.Rmd | 98 +++---- inst/doc/simpletex.html | 621 ++++++++++++++++-------------------------------- vignettes/simpletex.Rmd | 98 +++---- 10 files changed, 381 insertions(+), 588 deletions(-)
Title: World Development Indicators and Other World Bank Data
Description: Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.
Author: Vincent Arel-Bundock [aut, cre]
,
Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Diff between WDI versions 2.7.8 dated 2022-09-25 and 2.7.9 dated 2025-03-22
WDI-2.7.8/WDI/man/WDI-package.Rd |only WDI-2.7.8/WDI/man/wdi.dl.Rd |only WDI-2.7.8/WDI/man/wdi.query.Rd |only WDI-2.7.9/WDI/DESCRIPTION | 11 +- WDI-2.7.9/WDI/MD5 | 27 +++---- WDI-2.7.9/WDI/NAMESPACE | 2 WDI-2.7.9/WDI/NEWS.md | 43 ++++++----- WDI-2.7.9/WDI/R/WDI-package.R | 10 +- WDI-2.7.9/WDI/R/WDI.R | 116 ++++++++++++++++--------------- WDI-2.7.9/WDI/README.md | 107 ++++++++++++++++++---------- WDI-2.7.9/WDI/data/WDI_data.RData |binary WDI-2.7.9/WDI/man/WDI.Rd | 14 +-- WDI-2.7.9/WDI/man/WDI_data.Rd | 30 ++++---- WDI-2.7.9/WDI/man/WDIsearch.Rd | 2 WDI-2.7.9/WDI/man/languages_supported.Rd | 6 + WDI-2.7.9/WDI/tests/testthat/test-main.R | 106 +++++++++++++++------------- 16 files changed, 264 insertions(+), 210 deletions(-)
More information about simpr.interaction at CRAN
Permanent link
Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/>
Provides functions to allow one to compose general HTTP requests
and provides convenient functions to fetch URIs, get & post
forms, etc. and process the results returned by the Web server.
This provides a great deal of control over the HTTP/FTP/...
connection and the form of the request while providing a
higher-level interface than is available just using R socket
connections. Additionally, the underlying implementation is
robust and extensive, supporting FTP/FTPS/TFTP (uploads and
downloads), SSL/HTTPS, telnet, dict, ldap, and also supports
cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] ,
Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>
Diff between RCurl versions 1.98-1.16 dated 2024-07-11 and 1.98-1.17 dated 2025-03-22
DESCRIPTION | 6 MD5 | 4 inst/etc/ca-bundle.crt | 4428 ++++++++++++++++++++++--------------------------- 3 files changed, 2046 insertions(+), 2392 deletions(-)
Title: Estimation Methods for Causal Inference Based on Inverse
Probability Weighting
Description: Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects. The models refer to studies of Froelich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, Froelich and Huber (2017) <doi:10.1111/rssb.12232>, Hsu, Huber, Lee, and Lettry (2020) <doi:10.1002/jae.2765>, and others.
Author: Hugo Bodory [aut, cre] ,
Martin Huber [aut] ,
Jannis Kueck [aut]
Maintainer: Hugo Bodory <hugo.bodory@unisg.ch>
Diff between causalweight versions 1.1.1 dated 2024-07-23 and 1.1.2 dated 2025-03-22
causalweight-1.1.1/causalweight/R/didDML.R |only causalweight-1.1.1/causalweight/R/didcontDML.R |only causalweight-1.1.1/causalweight/R/didcontDMLpanel.R |only causalweight-1.1.1/causalweight/R/paneltestDML.R |only causalweight-1.1.1/causalweight/R/testmedident.R |only causalweight-1.1.1/causalweight/inst |only causalweight-1.1.1/causalweight/man/didDML.Rd |only causalweight-1.1.1/causalweight/man/didcontDML.Rd |only causalweight-1.1.1/causalweight/man/didcontDMLpanel.Rd |only causalweight-1.1.1/causalweight/man/paneltestDML.Rd |only causalweight-1.1.1/causalweight/man/testmedident.Rd |only causalweight-1.1.2/causalweight/DESCRIPTION | 8 causalweight-1.1.2/causalweight/MD5 | 19 causalweight-1.1.2/causalweight/NAMESPACE | 107 causalweight-1.1.2/causalweight/R/functions.R | 3735 ++++++++--------- causalweight-1.1.2/causalweight/R/medlateweight.R | 108 16 files changed, 1936 insertions(+), 2041 deletions(-)
Title: Soil and Chemical Substance Emission and Transport Model
Description: An enhanced version of the semi-empirical, spatially distributed
emission and transport model PhosFate implemented in 'R' and 'C++'. It is
based on the D-infinity, but also supports the D8 flow method. The currently
available substances are suspended solids (SS) and particulate phosphorus
(PP). A major feature is the allocation of substance loads entering surface
waters to their sources of origin, which is a basic requirement for the
identification of critical source areas and in consequence a cost-effective
implementation of mitigation measures. References: Hepp et al. (2022)
<doi:10.1016/j.jenvman.2022.114514>; Hepp and Zessner (2019)
<doi:10.3390/w11102161>; Kovacs (2013)
<http://hdl.handle.net/20.500.12708/9468>.
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <gisler@hepp.cc>
Diff between RPhosFate versions 1.0.4 dated 2023-10-07 and 2.0.1 dated 2025-03-22
RPhosFate-1.0.4/RPhosFate/R/deprecated.R |only RPhosFate-1.0.4/RPhosFate/inst/tinytest/largeData/wgs_lrg.tif |only RPhosFate-1.0.4/RPhosFate/inst/tinytest/testProject/Input/acc.tif |only RPhosFate-1.0.4/RPhosFate/inst/tinytest/testProject/Input/acc_wtd.tif |only RPhosFate-1.0.4/RPhosFate/inst/tinytest/testProject/Input/dir.tif |only RPhosFate-1.0.4/RPhosFate/inst/tinytest/testProject/Input/slp.tif |only RPhosFate-1.0.4/RPhosFate/inst/tinytest/testProject/Intermediate/rhy.tif |only RPhosFate-1.0.4/RPhosFate/inst/tinytest/testProject/order.rds |only RPhosFate-1.0.4/RPhosFate/man/transportCalcOrder-RPhosFate-method.Rd |only RPhosFate-1.0.4/RPhosFate/src/D8slope.cpp |only RPhosFate-1.0.4/RPhosFate/src/dir_sth.cpp |only RPhosFate-1.0.4/RPhosFate/src/transportCpp.cpp |only RPhosFate-2.0.1/RPhosFate/DESCRIPTION | 27 RPhosFate-2.0.1/RPhosFate/MD5 | 198 +-- RPhosFate-2.0.1/RPhosFate/NAMESPACE | 10 RPhosFate-2.0.1/RPhosFate/NEWS.md | 83 - RPhosFate-2.0.1/RPhosFate/R/GOFmetrics.R | 2 RPhosFate-2.0.1/RPhosFate/R/RPhosFate.R | 344 +---- RPhosFate-2.0.1/RPhosFate/R/RcppExports.R | 12 RPhosFate-2.0.1/RPhosFate/R/aaa.R | 166 +- RPhosFate-2.0.1/RPhosFate/R/assertives.R | 8 RPhosFate-2.0.1/RPhosFate/R/gettersSetters.R | 16 RPhosFate-2.0.1/RPhosFate/R/input.R | 605 +++++----- RPhosFate-2.0.1/RPhosFate/R/interface.R | 92 - RPhosFate-2.0.1/RPhosFate/R/utils.R | 61 - RPhosFate-2.0.1/RPhosFate/README.md | 4 RPhosFate-2.0.1/RPhosFate/build/vignette.rds |binary RPhosFate-2.0.1/RPhosFate/inst/doc/basicWorkflow.R | 76 - RPhosFate-2.0.1/RPhosFate/inst/doc/basicWorkflow.Rmd | 2 RPhosFate-2.0.1/RPhosFate/inst/doc/basicWorkflow.html | 9 RPhosFate-2.0.1/RPhosFate/inst/tinytest/LICENSE.md | 2 RPhosFate-2.0.1/RPhosFate/inst/tinytest/examples.R | 2 RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/CFa_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/KFa_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/RFa_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/cha_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/clc_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/dem_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/fid_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/lue_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/man_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/mbg_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/ppc_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/largeData/rds_lrg.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/CFa1.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/CFa.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/KFa.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/RFa.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/acc_inf.tif |only RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/cha.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/clc.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/dem.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/dir_inf.tif |only RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/fid.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/lue.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/man.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/ppc.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/rds.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/slp_inf.tif |only RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Input/wsh.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Intermediate/LFa.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Intermediate/SFa.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Intermediate/inl.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Intermediate/rip.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Intermediate/slp_cap.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ero.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ppe.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ppr.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ppt.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ppt_cld.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ppt_ctf.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ppt_inp.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ppt_out.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/ssr.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/sst.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/sst_cld.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/sst_ctf.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/sst_inp.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/Result/sst_out.tif |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/calibrationQuality.rds |binary RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/parameters.yaml | 14 RPhosFate-2.0.1/RPhosFate/inst/tinytest/testProject/testParameters.yaml | 12 RPhosFate-2.0.1/RPhosFate/inst/tinytest/test_gettersSetters.R | 15 RPhosFate-2.0.1/RPhosFate/inst/tinytest/test_highLevelInterface.R | 49 RPhosFate-2.0.1/RPhosFate/inst/tinytest/test_input.R | 14 RPhosFate-2.0.1/RPhosFate/inst/tinytest/test_lowLevelInterface.R | 36 RPhosFate-2.0.1/RPhosFate/man/DEMrelatedInput.Rd | 74 - 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Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images.
Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference.
Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks.
Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] ,
Rolf Turner [aut] ,
Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Diff between spatstat versions 3.3-1 dated 2025-01-23 and 3.3-2 dated 2025-03-22
DESCRIPTION | 16 ++-- MD5 | 44 ++++++------ NEWS | 17 ++++ R/bugtable.R | 55 ++++++++++++--- build/vignette.rds |binary inst/doc/bugfixes.Rnw | 2 inst/doc/bugfixes.pdf |binary inst/doc/datasets.R | 163 +++++++++++++++++++++++++-------------------- inst/doc/datasets.Rnw | 28 +++++++ inst/doc/datasets.pdf |binary inst/doc/fv.pdf |binary inst/doc/getstart.pdf |binary inst/doc/packagesizes.txt | 2 inst/doc/replicated.pdf |binary inst/doc/shapefiles.pdf |binary inst/doc/updates.R | 13 +-- inst/doc/updates.Rnw | 94 ++++++++++++++++++++++--- inst/doc/updates.pdf |binary inst/info/packagesizes.txt | 2 man/macros/defns.Rd | 4 - vignettes/bugfixes.Rnw | 2 vignettes/datasets.Rnw | 28 +++++++ vignettes/updates.Rnw | 94 ++++++++++++++++++++++--- 23 files changed, 414 insertions(+), 150 deletions(-)
Title: Convolution-Closed Models for Count Time Series
Description: Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modelled via Poisson and Generalized Poisson innovations. Regression effects can be incorporated through time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x> and, Tsay (1992) <doi:10.2307/2347612>.
Author: Manuel Huth [aut, cre],
Robert C. Jung [aut],
Andy Tremayne [aut]
Maintainer: Manuel Huth <manuel.huth@yahoo.com>
Diff between coconots versions 1.1.3 dated 2023-10-01 and 2.0.0 dated 2025-03-22
DESCRIPTION | 22 MD5 | 111 +-- NAMESPACE | 27 R/RcppExports.R | 20 R/addJuliaFunctions.R | 930 ---------------------------- R/cocoBoot.R | 31 R/cocoForecastKSteps.R | 19 R/cocoForecastKStepsJulia.R | 3 R/cocoForecastKStepsRCPP.R | 31 R/cocoForecastOneStep.R | 21 R/cocoPit.R | 30 R/cocoReg.R | 105 +-- R/cocoRegJulia.R | 5 R/cocoReg_base.R | 22 R/cocoReg_cov.R | 67 +- R/cocoResid.R | 448 +++---------- R/cocoScore.R | 493 ++------------ R/cocoSim.R | 21 R/cocoSimJulia.R | 5 R/cocoSim_base.R | 2 R/cocoSim_cov.R | 62 + R/cocoSoc.R |only R/cuts.R |only R/downloads.R |only R/goldparticle.R |only R/installJuliaPackages.R | 15 R/plot.cocoBoot.R | 3 R/plot.cocoForecast.R | 9 R/plot.cocoResid.R |only R/predict.coco.R | 42 - R/print.summary.coco.R | 3 R/print.summary.cocoSoc.R |only R/rgenpois.R | 2 R/setJuliaSeed.R | 11 R/summary.cocoSoc.R |only README.md | 85 ++ build |only data/cuts.rda |binary data/downloads.rda |binary data/goldparticle.rda |binary man/cocoBoot.Rd | 19 man/cocoPit.Rd | 17 man/cocoReg.Rd | 95 +- man/cocoResid.Rd | 4 man/cocoScore.Rd | 26 man/cocoSim.Rd | 17 man/cocoSoc.Rd |only man/coconots-package.Rd | 69 -- man/cuts.Rd | 28 man/downloads.Rd | 25 man/figures/README-example_assessment-2.png |binary man/figures/README-example_assessment-3.png |binary man/figures/README-example_assessment-4.png |only man/figures/README-example_assessment-5.png |only man/goldparticle.Rd | 41 - man/installJuliaPackages.Rd | 4 man/predict.coco.Rd | 39 - man/reexports.Rd | 4 man/setJuliaSeed.Rd | 10 src/RcppExports.cpp | 49 - src/cfunctions.cpp | 65 + tests/testthat/test-coconots.R | 40 - 62 files changed, 985 insertions(+), 2212 deletions(-)