Title: Group Testing Procedures for Signal Detection and
Goodness-of-Fit
Description: It provides cumulative distribution function (CDF),
quantile, p-value, statistical power calculator and random number generator
for a collection of group-testing procedures, including the Higher Criticism
tests, the one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests,
the one-sided phi-divergence tests, etc. The input are a group of p-values.
The null hypothesis is that they are i.i.d. Uniform(0,1). In the context of
signal detection, the null hypothesis means no signals. In the context of the
goodness-of-fit testing, which contrasts a group of i.i.d. random variables to
a given continuous distribution, the input p-values can be obtained by the CDF
transformation. The null hypothesis means that these random variables follow the
given distribution. For reference, see [1]Hong Zhang, Jiashun Jin and Zheyang Wu.
"Distributions and power of optimal signal-detection statistics in finite case",
IEEE Transactions on Signal Processing (2020) 68, 1021-1033; [2] Hong Zhang and Zhey [...truncated...]
Author: Hong Zhang and Zheyang Wu
Maintainer: Hong Zhang <hzhang@wpi.edu>
Diff between SetTest versions 0.2.0 dated 2018-03-22 and 0.3.0 dated 2024-07-14
DESCRIPTION | 18 +-- MD5 | 70 ++++++------ R/internal.R | 280 ++++++++++++++++++++++++--------------------------- R/pbj.R | 14 +- R/phc.R | 28 +---- R/pphi.R | 55 +++++----- R/pphi.omni.R | 65 +++++++---- R/qbj.R | 18 +-- R/qhc.R | 103 +----------------- R/qphi.R | 38 ++++-- R/stat.bj.R | 2 R/stat.hc.R | 2 R/stat.phi.R | 2 R/stat.phi.omni.R | 14 +- R/test.bj.R | 17 +-- R/test.hc.R | 32 ++--- R/test.phi.R | 23 ++-- R/test.phi.omni.R | 17 ++- man/pbj.Rd | 14 +- man/phc.Rd | 20 +-- man/power.bj.Rd | 12 +- man/power.hc.Rd | 12 +- man/power.phi.Rd | 13 ++ man/pphi.Rd | 15 ++ man/pphi.omni.Rd | 15 ++ man/qbj.Rd | 21 ++- man/qhc.Rd | 21 ++- man/qphi.Rd | 39 +++++-- man/stat.bj.Rd | 4 man/stat.hc.Rd | 4 man/stat.phi.Rd | 4 man/stat.phi.omni.Rd | 24 +++- man/test.bj.Rd | 15 +- man/test.hc.Rd | 19 +-- man/test.phi.Rd | 23 ++-- man/test.phi.omni.Rd | 17 ++- 36 files changed, 561 insertions(+), 529 deletions(-)
Title: Import Multiple Files From a Single Directory at Once
Description: The goal of tor (to-R) is to help you to import multiple
files from a single directory at once, and to do so as quickly,
flexibly, and simply as possible.
Author: Mauro Lepore [aut, cre]
Maintainer: Mauro Lepore <maurolepore@gmail.com>
Diff between tor versions 1.1.2 dated 2020-03-07 and 1.1.3 dated 2024-07-14
tor-1.1.2/tor/R/imports.R |only tor-1.1.3/tor/DESCRIPTION | 26 +-- tor-1.1.3/tor/MD5 | 30 +-- tor-1.1.3/tor/NEWS.md | 8 tor-1.1.3/tor/R/load_csv.R | 1 tor-1.1.3/tor/R/tor-package.R | 7 tor-1.1.3/tor/README.md | 205 +++++++++++++----------- tor-1.1.3/tor/inst/WORDLIST | 7 tor-1.1.3/tor/man/tor-package.Rd | 5 tor-1.1.3/tor/tests/spelling.R | 9 - tor-1.1.3/tor/tests/testthat.R | 8 tor-1.1.3/tor/tests/testthat/setup.R |only tor-1.1.3/tor/tests/testthat/test-list_any.R | 20 +- tor-1.1.3/tor/tests/testthat/test-list_csv.R | 19 -- tor-1.1.3/tor/tests/testthat/test-load_any.R | 8 tor-1.1.3/tor/tests/testthat/test-load_csv.R | 8 tor-1.1.3/tor/tests/testthat/test-tor_example.R | 2 17 files changed, 192 insertions(+), 171 deletions(-)
Title: Save Output of Statistical Tests
Description: Save the output of statistical tests in an organized file that can
be shared with others or used to report statistics in scientific papers.
Author: Willem Sleegers
Maintainer: Willem Sleegers <w.sleegers@me.com>
Diff between tidystats versions 0.6.1 dated 2024-04-09 and 0.6.2 dated 2024-07-14
DESCRIPTION | 8 ++-- LICENSE | 2 - MD5 | 28 ++++++++-------- NEWS.md | 6 +++ R/zzz.r | 4 +- README.md | 8 ++-- build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 6 +-- inst/doc/custom-statistics.html | 4 +- inst/doc/introduction-to-tidystats.html | 4 +- inst/doc/reusing-statistics.html | 4 +- tests/data/effectsize.json | 34 ++++++++++---------- tests/data/glm.json | 42 ++++++++++++++---------- tests/testthat/test_glm.R | 54 ++++++++++++++++++++++++++++++++ 15 files changed, 136 insertions(+), 68 deletions(-)
Title: OLS, Moderated, Logistic, and Count Regressions Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple
regression, logistic regression, and Poisson regression. Detailed output
is also provided for OLS moderated regression, interaction plots, and
Johnson-Neyman regions of significance. The output includes standardized
coefficients, partial and semi-partial correlations, collinearity diagnostics,
plots of residuals, and detailed information about simple slopes for
interactions. There are numerous options for model plots,
including plots of interactions for both lm and lme models.
Author: Brian P. O'Connor
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>
Diff between SIMPLE.REGRESSION versions 0.1.6 dated 2023-02-24 and 0.1.9 dated 2024-07-14
SIMPLE.REGRESSION-0.1.6/SIMPLE.REGRESSION/R/SIMPLE.REGRESSION.R |only SIMPLE.REGRESSION-0.1.6/SIMPLE.REGRESSION/R/boc.R |only SIMPLE.REGRESSION-0.1.6/SIMPLE.REGRESSION/man/SIMPLE.REGRESSION.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/DESCRIPTION | 27 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/MD5 | 64 - SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/NAMESPACE | 19 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/R/COUNT_REGRESSION.R |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/R/LOGISTIC_REGRESSION.R |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/R/MODERATED_REGRESSION.R |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/R/OLS_REGRESSION.R |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/R/PLOT_MODEL.R |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/R/REGIONS_OF_SIGNIFICANCE.R | 546 +++++----- SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/R/utilities_boc.R |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Bauer_Curran_2005.rda |binary SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Halvorson_2022_log.rda |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Halvorson_2022_pois.rda |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Kremelburg_2011.rda |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Lorah_Wong_2018.rda |binary SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Meyers_2013.rda |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Orme_2009_2.rda |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Orme_2009_5.rda |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/data/data_Pituch_Stevens_2016.rda |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/COUNT_REGRESSION.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/LOGISTIC_REGRESSION.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/MODERATED_REGRESSION.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/OLS_REGRESSION.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/PARTIAL_COEFS.Rd | 12 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/PLOT_MODEL.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/REGIONS_OF_SIGNIFICANCE.Rd | 139 +- SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/SIMPLE.REGRESSION-package.Rd | 25 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Bauer_Curran_2005.Rd | 10 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Bodner_2016.Rd | 21 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Chapman_Little_2016.Rd | 19 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Cohen_Aiken_West_2003_7.Rd | 20 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Cohen_Aiken_West_2003_9.Rd | 22 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Green_Salkind_2014.Rd | 13 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Halvorson_2022_log.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Halvorson_2022_pois.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Huitema_2011.Rd | 16 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Kremelburg_2011.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Lorah_Wong_2018.Rd | 24 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Meyers_2013.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_OConnor_Dvorak_2001.Rd | 40 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Orme_2009_2.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Orme_2009_5.Rd |only SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Pedhazur_1997.Rd | 19 SIMPLE.REGRESSION-0.1.9/SIMPLE.REGRESSION/man/data_Pituch_Stevens_2016.Rd |only 47 files changed, 504 insertions(+), 532 deletions(-)
More information about SIMPLE.REGRESSION at CRAN
Permanent link
Title: Non-Linear Regression with Brute Force
Description: Adds brute force and multiple starting values to nls.
Author: G. Grothendieck, R Core Team
Maintainer: G. Grothendieck <ggrothendieck@gmail.com>
Diff between nls2 versions 0.3-3 dated 2022-05-02 and 0.3-4 dated 2024-07-14
DESCRIPTION | 12 ++++++------ MD5 | 11 ++++++----- NEWS | 6 ++++++ R/nls.CPoptim.R |only R/nls2.R | 12 +++++++++++- man/nls2-internal.Rd | 5 +++-- man/nls2.Rd | 26 +++++++++++++++++++++++--- 7 files changed, 55 insertions(+), 17 deletions(-)
Title: Adaptive Multivariate Integration over Hypercubes
Description: R wrappers around the cubature C library of Steven
G. Johnson for adaptive multivariate integration over hypercubes
and the Cuba C library of Thomas Hahn for deterministic and
Monte Carlo integration. Scalar and vector interfaces for
cubature and Cuba routines are provided; the vector interfaces
are highly recommended as demonstrated in the package
vignette.
Author: Balasubramanian Narasimhan [aut, cre],
Manuel Koller [ctb],
Steven G. Johnson [aut],
Thomas Hahn [aut],
Annie Bouvier [aut],
Kien Kieu [aut],
Simen Gaure [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>
Diff between cubature versions 2.1.0 dated 2023-06-11 and 2.1.1 dated 2024-07-14
DESCRIPTION | 8 MD5 | 38 - NEWS.md | 8 R/cubature-package.R | 5 R/cubintegrate.R | 20 R/hcubature.R | 6 build/vignette.rds |binary inst/doc/cubature.R | 14 inst/doc/cubature.Rmd | 14 inst/doc/cubature.html | 1113 ++++++++++++++++++++++++------------------------ inst/doc/version2.R | 2 inst/doc/version2.Rmd | 10 inst/doc/version2.html | 285 +++--------- man/cubature-package.Rd | 10 man/cubintegrate.Rd | 19 man/hcubature.Rd | 6 src/Cuba/makefile.in | 16 src/Makevars | 3 vignettes/cubature.Rmd | 14 vignettes/version2.Rmd | 10 20 files changed, 740 insertions(+), 861 deletions(-)
Title: Clusterwise Independent Component Analysis
Description: Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.
Author: Jeffrey Durieux [aut, cre], Tom Wilderjans [aut], Juan Claramunt Gonzalez [ctb]
Maintainer: Jeffrey Durieux <durieux.jeffrey@gmail.com>
Diff between CICA versions 1.1.0 dated 2024-07-11 and 1.1.1 dated 2024-07-14
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/CICA.R | 6 +++--- R/ExtractICA.R | 6 +----- 4 files changed, 10 insertions(+), 14 deletions(-)
Title: Bayesian Estimation of Structural Vector Autoregressive Models
Description: Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation complement all this. The implemented techniques align closely with thos [...truncated...]
Author: Tomasz Wozniak [aut, cre]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
Diff between bsvars versions 3.0.1 dated 2024-06-28 and 3.1 dated 2024-07-14
DESCRIPTION | 10 MD5 | 127 ++- NAMESPACE | 27 NEWS.md | 9 R/bsvars-package.R | 3 R/compute_conditional_sd.R | 62 + R/compute_fitted_values.R | 61 + R/compute_historical_decompositions.R | 84 ++ R/compute_impulse_responses.R | 54 + R/compute_structural_shocks.R | 58 + R/compute_variance_decompositions.R | 65 + R/estimate.BSVART.R |only R/forecast.R | 360 ++++++++-- R/plot.R | 36 - R/specify_bsvar_t.R |only R/summary.R | 533 ++++++++++++++- R/verify.R | 515 +++++++++++++- inst/CITATION | 4 inst/include/bsvars_RcppExports.h | 204 ++--- inst/tinytest/test_compute_conditional_sd.R | 39 + inst/tinytest/test_compute_impulse_responses.R | 34 inst/tinytest/test_compute_variance_decomposition.R | 29 inst/tinytest/test_estimate_bsvar_t.R |only inst/tinytest/test_forecast.R | 61 + inst/tinytest/test_verify_identification.R |only man/compute_conditional_sd.PosteriorBSVART.Rd |only man/compute_fitted_values.PosteriorBSVART.Rd |only man/compute_historical_decompositions.PosteriorBSVART.Rd |only man/compute_impulse_responses.PosteriorBSVART.Rd |only man/compute_structural_shocks.PosteriorBSVART.Rd |only man/compute_variance_decompositions.PosteriorBSVART.Rd |only man/estimate.BSVART.Rd |only man/estimate.PosteriorBSVART.Rd |only man/forecast.PosteriorBSVART.Rd |only man/specify_bsvar_t.Rd |only man/specify_posterior_bsvar_t.Rd |only man/specify_prior_bsvar_t.Rd |only man/specify_starting_values_bsvar_t.Rd |only man/summary.Forecasts.Rd | 4 man/summary.PosteriorBSVAR.Rd | 4 man/summary.PosteriorBSVARMIX.Rd | 4 man/summary.PosteriorBSVARMSH.Rd | 4 man/summary.PosteriorBSVARSV.Rd | 4 man/summary.PosteriorBSVART.Rd |only man/summary.PosteriorFEVD.Rd | 4 man/summary.PosteriorFitted.Rd | 4 man/summary.PosteriorHD.Rd | 4 man/summary.PosteriorIR.Rd | 4 man/summary.PosteriorRegimePr.Rd | 4 man/summary.PosteriorShocks.Rd | 4 man/summary.SDDRautoregression.Rd | 4 man/summary.SDDRidMIX.Rd |only man/summary.SDDRidMSH.Rd |only man/summary.SDDRidSV.Rd |only man/summary.SDDRidT.Rd |only man/summary.SDDRvolatility.Rd | 4 man/verify_autoregression.PosteriorBSVAR.Rd | 4 man/verify_autoregression.PosteriorBSVARMIX.Rd | 4 man/verify_autoregression.PosteriorBSVARMSH.Rd | 4 man/verify_autoregression.PosteriorBSVARSV.Rd | 4 man/verify_autoregression.PosteriorBSVART.Rd |only man/verify_autoregression.Rd | 4 man/verify_identification.PosteriorBSVAR.Rd |only man/verify_identification.PosteriorBSVARMIX.Rd |only man/verify_identification.PosteriorBSVARMSH.Rd |only man/verify_identification.PosteriorBSVARSV.Rd |only man/verify_identification.PosteriorBSVART.Rd |only man/verify_identification.Rd |only man/verify_volatility.PosteriorBSVAR.Rd | 7 man/verify_volatility.PosteriorBSVARMIX.Rd | 7 man/verify_volatility.PosteriorBSVARMSH.Rd | 7 man/verify_volatility.PosteriorBSVARSV.Rd | 7 man/verify_volatility.Rd | 7 src/RcppExports.cpp | 371 ++++------ src/bsvar_t.cpp |only src/bsvar_t.h |only src/forecast.cpp | 324 ++------- src/forecast.h | 73 -- src/sample_t.cpp |only src/sample_t.h |only src/verify.cpp | 4 81 files changed, 2421 insertions(+), 833 deletions(-)
More information about ChangePointTaylor at CRAN
Permanent link
Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image
processing library available. Supports many common formats (png, jpeg, tiff,
pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc).
All operations are vectorized via the Magick++ STL meaning they operate either
on a single frame or a series of frames for working with layers, collages,
or animation. In RStudio images are automatically previewed when printed to
the console, resulting in an interactive editing environment. The latest
version of the package includes a native graphics device for creating
in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between magick versions 2.8.3 dated 2024-02-18 and 2.8.4 dated 2024-07-14
DESCRIPTION | 8 +-- MD5 | 30 +++++------ NEWS | 7 +- R/RcppExports.R | 4 - R/defines.R | 2 R/edit.R | 12 +++- build/vignette.rds |binary cleanup | 1 configure | 8 +-- inst/doc/intro.Rmd | 2 inst/doc/intro.html | 127 ++++++++++++++++++++++++------------------------ man/editing.Rd | 5 + src/RcppExports.cpp | 9 +-- src/magick_types.h | 2 src/transformations.cpp | 8 ++- vignettes/intro.Rmd | 2 16 files changed, 122 insertions(+), 105 deletions(-)
Title: General-to-Specific (GETS) Modelling and Indicator Saturation
Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03> for an overview of the package. In advanced use, the estimator and diagnostics tests can be fully user-specified, see Sucarrat (2021) <doi:10.32614/RJ-2021-024>.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut], Jonas Kurle [ctb], Moritz Schwarz [ctb]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>
Diff between gets versions 0.37 dated 2022-10-09 and 0.38 dated 2024-07-14
DESCRIPTION | 13 - MD5 | 100 ++++--- NAMESPACE | 32 ++ NEWS | 29 ++ R/gets-base-source.R | 406 +++++++++++++++++--------------- R/gets-internal.R | 4 R/gets-isat-source.R | 2 R/gets-larch-source.R |only R/gets-logitx-source.R | 13 - build/partial.rdb |binary data/hpdata.rda |binary data/infldata.rda |binary data/so2data.rda |binary data/sp500data.rda |binary inst/doc/user-defined-gets-and-isat.pdf |binary man/arx.Rd | 30 +- man/as.lm.Rd | 4 man/biascorr.Rd | 2 man/coef.arx.Rd | 13 - man/coef.gets.Rd | 14 - man/coef.isat.Rd | 14 - man/coef.larch.Rd |only man/distorttest.Rd | 2 man/distorttestboot.Rd | 2 man/eqwma.Rd | 8 man/gets-package.Rd | 12 man/gets.isat.Rd | 4 man/gets.larch.Rd |only man/getsFun.Rd | 2 man/getsm.Rd | 2 man/iim.Rd | 6 man/isat.Rd | 12 man/isatdates.Rd | 2 man/isatloop.Rd | 4 man/isattest.Rd | 2 man/isatvar.Rd | 2 man/isatvarcorrect.Rd | 2 man/isvarcor.Rd | 2 man/isvareffcor.Rd | 2 man/larch.Rd |only man/larchEstfun.Rd |only man/logitx.Rd | 4 man/logitxSim.Rd | 4 man/mvrnormsim.Rd | 2 man/ols.Rd | 13 - man/outlierscaletest.Rd | 2 man/outliertest.Rd | 2 man/periodicdummies.Rd | 8 man/predict.arx.Rd | 6 man/predict.larch.Rd |only man/recursive.Rd | 4 man/regressorsMean.Rd | 14 - man/regressorsVariance.Rd | 51 ++-- man/vargaugeiis.Rd | 4 54 files changed, 482 insertions(+), 374 deletions(-)
Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript'
engine. The engine and all 'R' to 'JavaScript' interoperability is bundled
within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] ,
Fabrice Bellard [cph] ,
Charlie Gordon [cph] ,
QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>
Diff between QuickJSR versions 1.3.0 dated 2024-07-08 and 1.3.1 dated 2024-07-14
DESCRIPTION | 6 MD5 | 14 - NEWS.md | 3 inst/doc/working_with_js_types.html | 2 inst/include/cpp11/environment.hpp | 5 src/Makevars | 17 -- src/init.cpp | 25 +-- src/quickjsr.cpp | 286 ++++++++++++++++++------------------ 8 files changed, 175 insertions(+), 183 deletions(-)
Title: A Glimpse at the Diversity of Peru's Endemic Plants
Description: Introducing a novel and updated database showcasing Peru's endemic plants. This meticulously compiled and revised botanical collection encompasses a remarkable assemblage of over 7,249 distinct species. The data for this resource was sourced from the work of Govaerts, R., Nic Lughadha, E., Black, N. et al., titled 'The World Checklist of Vascular Plants: A continuously updated resource for exploring global plant diversity', published in Sci Data 8, 215 (2021) <doi:10.1038/s41597-021-00997-6>.
Author: Paul E. Santos Andrade [aut, cre]
,
Lucely L. Vilca Bustamante [aut]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Diff between ppendemic versions 0.1.7 dated 2023-08-15 and 0.1.8 dated 2024-07-14
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Title: Multidimensional Item Response Theory
Description: Analysis of discrete response data using
unidimensional and multidimensional item analysis models under the Item
Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>).
Exploratory and confirmatory item factor analysis models
are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory
bi-factor and two-tier models are available for modeling item testlets using
dimension reduction EM algorithms, while multiple group analyses and
mixed effects designs are included for detecting differential item, bundle,
and test functioning, and for modeling item and person covariates.
Finally, latent class models such as the DINA, DINO, multidimensional latent class,
mixture IRT models, and zero-inflated response models are supported.
Author: Phil Chalmers [aut, cre] ,
Joshua Pritikin [ctb],
Alexander Robitzsch [ctb],
Mateusz Zoltak [ctb],
KwonHyun Kim [ctb],
Carl F. Falk [ctb],
Adam Meade [ctb],
Lennart Schneider [ctb],
David King [ctb],
Chen-Wei Liu [ctb],
Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
Diff between mirt versions 1.41 dated 2023-10-17 and 1.42 dated 2024-07-14
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