Title: X-Engineering or Supporting Functions
Description: Miscellaneous functions used for x-engineering (feature engineering) or
for supporting in other packages maintained by 'Shichen Xie'.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>
Diff between xefun versions 0.1.0 dated 2022-05-17 and 0.1.1 dated 2022-07-02
DESCRIPTION | 6 +-- MD5 | 13 ++++--- NAMESPACE | 1 NEWS.md | 5 ++ R/conticnt.R | 98 ++++++++++++++++++++++++-------------------------------- R/date_funcs.R | 10 +++++ R/utility.R |only man/conticnt.Rd | 45 ++++++++++--------------- 8 files changed, 86 insertions(+), 92 deletions(-)
Title: Empirical Likelihood Ratio for Censored/Truncated Data
Description: Empirical likelihood ratio tests for means/quantiles/hazards
from possibly censored and/or truncated data. Now does regression too.
This version contains some C code.
Author: Mai Zhou. . Yifan Yang for some C code.)
Maintainer: Mai Zhou <maizhou@gmail.com>
Diff between emplik versions 1.1-1 dated 2020-05-20 and 1.2 dated 2022-07-02
DESCRIPTION | 8 +-- MD5 | 40 ++++++++++-------- NAMESPACE | 4 - R/ROCnp.R | 2 R/ROCnp2.R | 2 R/el.cen.kmc1d.R |only R/el.test.wt.R | 104 ++++++++++++++++++++++++------------------------- R/findLnew.R |only R/findUL.R | 2 R/findUL2.R | 2 R/findULold.R | 2 R/findUnew.R |only R/kmc.clean.R | 18 ++++---- R/omega.lambda.R | 37 +++++++++-------- README | 8 ++- man/WRegTest.Rd | 4 - man/el.cen.kmc1d.Rd |only man/el.test.wt2.Rd | 6 ++ man/emplik-internal.Rd | 4 - man/findLnew.Rd |only man/findUL.Rd | 2 man/findUL2.Rd | 2 man/findULold.Rd | 10 ++-- man/findUnew.Rd |only 24 files changed, 140 insertions(+), 117 deletions(-)
Title: Analysis of Geostatistical Count Data using Gaussian Copulas
Description: Provides a variety of functions to analyze and model
geostatistical count data with Gaussian copulas, including
1) data simulation and visualization;
2) correlation structure assessment (here also known as the Normal To Anything);
3) calculate multivariate normal rectangle probabilities;
4) likelihood inference and parallel prediction at predictive locations.
Description of the method is available from: Han and DeOliveira (2018) <doi:10.18637/jss.v087.i13>.
Author: Zifei Han
Maintainer: Zifei Han <hanzifei1@gmail.com>
Diff between gcKrig versions 1.1.7 dated 2021-10-14 and 1.1.8 dated 2022-07-02
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ R/simFHUB.R | 41 +++++++++++++++++++++++++++-------------- build/partial.rdb |binary inst/NEWS.txt | 6 +++++- man/corrTG.Rd | 25 +++++++++++++++++++++---- man/marginal.gc.Rd | 5 ++--- 7 files changed, 65 insertions(+), 32 deletions(-)
Title: Centered Isotonic Regression and Dose-Response Utilities
Description: Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data.
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@gmail.com>
Diff between cir versions 2.2.0 dated 2021-08-23 and 2.2.1 dated 2022-07-02
DESCRIPTION | 10 - MD5 | 24 +- R/analIntervals.r | 7 R/invCIR.r | 6 R/methods.r | 24 +- R/utilities.r | 12 - build/vignette.rds |binary inst/doc/BenHamou04.html | 385 ++++++++++++++++++++++++++++++++++++++++++----- man/DRshrink.Rd | 2 man/deltaInverse.Rd | 3 man/plot.DRtrace.Rd | 11 + man/slope.Rd | 4 man/wilsonCI.Rd | 2 13 files changed, 408 insertions(+), 82 deletions(-)
Title: Wavelet-ARIMA Model for Time Series Forecasting
Description: Noise in the time-series data significantly affects the accuracy of the ARIMA model. Wavelet transformation decomposes the time series data into subcomponents to reduce the noise and help to improve the model performance. The wavelet-ARIMA model can achieve higher prediction accuracy than the traditional ARIMA model. This package provides Wavelet-ARIMA model for time series forecasting based on the algorithm by Aminghafari and Poggi (2012) and Paul and Anjoy (2018) <doi:10.1142/S0219691307002002> <doi:10.1007/s00704-017-2271-x>.
Author: Dr. Ranjit Kumar Paul [aut, cre],
Mr. Sandipan Samanta [aut],
Dr. Md Yeasin [aut]
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Diff between WaveletArima versions 0.1.1 dated 2018-06-01 and 0.1.2 dated 2022-07-02
WaveletArima-0.1.1/WaveletArima/R/WaveletArima.R |only WaveletArima-0.1.2/WaveletArima/DESCRIPTION | 24 +- WaveletArima-0.1.2/WaveletArima/MD5 | 10 - WaveletArima-0.1.2/WaveletArima/NAMESPACE | 16 - WaveletArima-0.1.2/WaveletArima/R/WaveletFittingarma.R |only WaveletArima-0.1.2/WaveletArima/man/WaveletFitting.Rd | 89 +++++----- WaveletArima-0.1.2/WaveletArima/man/WaveletFittingarma.Rd | 115 +++++++------- 7 files changed, 135 insertions(+), 119 deletions(-)
Title: Robust Analytical Methods for Evaluating Educational
Interventions using Randomised Controlled Trials Designs
Description: Analysing data from evaluations of educational interventions using a randomised controlled trial design. Various analytical tools to perform sensitivity analysis using different methods are supported (e.g. frequentist models with bootstrapping and permutations options, Bayesian models). The included commands can be used for simple randomised trials, cluster randomised trials and multisite trials. The methods can also be used more widely beyond education trials. This package can be used to evaluate other intervention designs using Frequentist and Bayesian multilevel models.
Author: Germaine Uwimpuhwe, Akansha Singh, Dimitris Vallis, Steve Higgins, ZhiMin Xiao, Ewoud De Troyer and Adetayo Kasim
Maintainer: Dimitris Vallis <dimitris.vallis@durham.ac.uk>
Diff between eefAnalytics versions 1.0.11 dated 2021-03-16 and 1.1.0 dated 2022-07-02
eefAnalytics-1.0.11/eefAnalytics/R/crtFreq.R |only eefAnalytics-1.0.11/eefAnalytics/R/mstFreq.R |only eefAnalytics-1.0.11/eefAnalytics/R/srtFreq.R |only eefAnalytics-1.0.11/eefAnalytics/vignettes/EEFanalytics.pdf |only eefAnalytics-1.1.0/eefAnalytics/DESCRIPTION | 20 eefAnalytics-1.1.0/eefAnalytics/MD5 | 62 eefAnalytics-1.1.0/eefAnalytics/NAMESPACE | 2 eefAnalytics-1.1.0/eefAnalytics/NEWS.md |only eefAnalytics-1.1.0/eefAnalytics/R/Print_Summary.R | 150 eefAnalytics-1.1.0/eefAnalytics/R/crtBayes.R | 421 +- eefAnalytics-1.1.0/eefAnalytics/R/crtFREQ.R |only eefAnalytics-1.1.0/eefAnalytics/R/mstBayes.R | 497 +- eefAnalytics-1.1.0/eefAnalytics/R/mstFREQ.R |only eefAnalytics-1.1.0/eefAnalytics/R/srtBayes.R | 290 - eefAnalytics-1.1.0/eefAnalytics/R/srtFREQ.R |only eefAnalytics-1.1.0/eefAnalytics/build/vignette.rds |binary eefAnalytics-1.1.0/eefAnalytics/inst/doc/eefAnalytics.R | 3 eefAnalytics-1.1.0/eefAnalytics/inst/doc/eefAnalytics.Rmd | 2186 ++++++----- eefAnalytics-1.1.0/eefAnalytics/inst/doc/eefAnalytics.html | 2207 ++++++------ eefAnalytics-1.1.0/eefAnalytics/inst/examples/crtBExample.R | 86 eefAnalytics-1.1.0/eefAnalytics/inst/examples/crtExample.R | 126 eefAnalytics-1.1.0/eefAnalytics/inst/examples/mstBExample.R | 85 eefAnalytics-1.1.0/eefAnalytics/inst/examples/mstExample.R | 120 eefAnalytics-1.1.0/eefAnalytics/inst/examples/srtBExample.R | 85 eefAnalytics-1.1.0/eefAnalytics/inst/examples/srtExample.R | 174 eefAnalytics-1.1.0/eefAnalytics/man/ComparePlot.Rd | 2 eefAnalytics-1.1.0/eefAnalytics/man/crtBayes.Rd | 34 eefAnalytics-1.1.0/eefAnalytics/man/crtData.Rd | 12 eefAnalytics-1.1.0/eefAnalytics/man/crtFREQ.Rd | 33 eefAnalytics-1.1.0/eefAnalytics/man/mstBayes.Rd | 35 eefAnalytics-1.1.0/eefAnalytics/man/mstData.Rd | 12 eefAnalytics-1.1.0/eefAnalytics/man/mstFREQ.Rd | 41 eefAnalytics-1.1.0/eefAnalytics/man/plot.eefAnalytics.Rd | 2 eefAnalytics-1.1.0/eefAnalytics/man/srtBayes.Rd | 39 eefAnalytics-1.1.0/eefAnalytics/man/srtFREQ.Rd | 16 eefAnalytics-1.1.0/eefAnalytics/vignettes/eefAnalytics.Rmd | 2186 ++++++----- 36 files changed, 4812 insertions(+), 4114 deletions(-)
Title: Cluster Analysis via Random Partition Distributions
Description: Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is
implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates.
An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since
pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids
clustering methods. The method is currently under peer review but an earlier draft is available in Dahl, Andros, Carter
<doi:10.48550/arXiv.2106.02760>.
Author: David B. Dahl [aut, cre] ,
Jacob Andros [aut] ,
J. Brandon Carter [aut]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Diff between caviarpd versions 0.2.28 dated 2022-03-21 and 0.2.32 dated 2022-07-02
caviarpd-0.2.28/caviarpd/R/rustlib.R |only caviarpd-0.2.28/caviarpd/src/rustlib |only caviarpd-0.2.28/caviarpd/tools/cargo.R |only caviarpd-0.2.28/caviarpd/tools/staticlib.R |only caviarpd-0.2.32/caviarpd/DESCRIPTION | 18 +- caviarpd-0.2.32/caviarpd/INSTALL | 29 ++-- caviarpd-0.2.32/caviarpd/MD5 | 65 +++++----- caviarpd-0.2.32/caviarpd/NAMESPACE | 4 caviarpd-0.2.32/caviarpd/NEWS | 6 caviarpd-0.2.32/caviarpd/R/caviarpd.R | 162 +++++++++++++------------- caviarpd-0.2.32/caviarpd/R/onLoad.R |only caviarpd-0.2.32/caviarpd/R/useDynLib.R |only caviarpd-0.2.32/caviarpd/configure |only caviarpd-0.2.32/caviarpd/configure.win |only caviarpd-0.2.32/caviarpd/man/caviarpd.Rd | 4 caviarpd-0.2.32/caviarpd/src/Makevars | 17 -- caviarpd-0.2.32/caviarpd/src/Makevars.win | 18 -- caviarpd-0.2.32/caviarpd/src/README.md |only caviarpd-0.2.32/caviarpd/src/rust |only caviarpd-0.2.32/caviarpd/src/shim.c | 4 caviarpd-0.2.32/caviarpd/tools/registration.R |only 21 files changed, 160 insertions(+), 167 deletions(-)
Title: Extra Recipes for Encoding Predictors
Description: Predictors can be converted to one or more numeric
representations using a variety of methods. Effect encodings using
simple generalized linear models <arXiv:1611.09477> or nonlinear
models <arXiv:1604.06737> can be used. There are also functions for
dimension reduction and other approaches.
Author: Emil Hvitfeldt [aut, cre] ,
Max Kuhn [aut] ,
RStudio [cph]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Diff between embed versions 0.2.0 dated 2022-04-13 and 1.0.0 dated 2022-07-02
embed-0.2.0/embed/tests/testthat/_snaps/hash.new.md |only embed-1.0.0/embed/DESCRIPTION | 13 - embed-1.0.0/embed/MD5 | 107 ++++---- embed-1.0.0/embed/NAMESPACE | 11 embed-1.0.0/embed/NEWS.md | 8 embed-1.0.0/embed/R/0_imports.R | 3 embed-1.0.0/embed/R/bayes.R | 33 ++ embed-1.0.0/embed/R/collapse_cart.R |only embed-1.0.0/embed/R/collapse_stringdist.R |only embed-1.0.0/embed/R/discretize_cart.R | 37 ++ embed-1.0.0/embed/R/discretize_xgb.R | 60 +++- embed-1.0.0/embed/R/glm.R | 35 ++ embed-1.0.0/embed/R/hash.R | 5 embed-1.0.0/embed/R/lme.R | 43 ++- embed-1.0.0/embed/R/pca_sparse.R | 6 embed-1.0.0/embed/R/pca_sparse_bayes.R | 6 embed-1.0.0/embed/R/tf.R | 4 embed-1.0.0/embed/R/umap.R | 4 embed-1.0.0/embed/R/woe.R | 12 embed-1.0.0/embed/man/embed-package.Rd | 4 embed-1.0.0/embed/man/required_pkgs.embed.Rd | 8 embed-1.0.0/embed/man/step_collapse_cart.Rd |only embed-1.0.0/embed/man/step_collapse_stringdist.Rd |only embed-1.0.0/embed/man/step_discretize_cart.Rd | 8 embed-1.0.0/embed/man/step_discretize_xgb.Rd | 8 embed-1.0.0/embed/man/step_embed.Rd | 18 + embed-1.0.0/embed/man/step_feature_hash.Rd | 6 embed-1.0.0/embed/man/step_lencode_bayes.Rd | 14 - embed-1.0.0/embed/man/step_lencode_glm.Rd | 8 embed-1.0.0/embed/man/step_lencode_mixed.Rd | 14 - embed-1.0.0/embed/man/step_pca_sparse.Rd | 6 embed-1.0.0/embed/man/step_pca_sparse_bayes.Rd | 6 embed-1.0.0/embed/man/step_umap.Rd | 6 embed-1.0.0/embed/man/step_woe.Rd | 6 embed-1.0.0/embed/man/tidy.recipe.Rd | 13 - embed-1.0.0/embed/tests/testthat/_snaps/collapse_cart.md |only embed-1.0.0/embed/tests/testthat/_snaps/collapse_stringdist.md |only embed-1.0.0/embed/tests/testthat/_snaps/discretize_cart.md | 41 ++- embed-1.0.0/embed/tests/testthat/_snaps/discretize_xgb.md | 85 ++++-- embed-1.0.0/embed/tests/testthat/_snaps/hash.md | 36 ++ embed-1.0.0/embed/tests/testthat/_snaps/mixed.md | 25 + embed-1.0.0/embed/tests/testthat/_snaps/no_pooling.md | 25 + embed-1.0.0/embed/tests/testthat/_snaps/pooling.md | 70 +++++ embed-1.0.0/embed/tests/testthat/_snaps/sparse_pca.md | 34 ++ embed-1.0.0/embed/tests/testthat/_snaps/tf.md | 5 embed-1.0.0/embed/tests/testthat/_snaps/umap.md | 34 ++ embed-1.0.0/embed/tests/testthat/_snaps/woe.md | 6 embed-1.0.0/embed/tests/testthat/test_collapse_cart.R |only embed-1.0.0/embed/tests/testthat/test_collapse_stringdist.R |only embed-1.0.0/embed/tests/testthat/test_discretize_cart.R | 50 +++ embed-1.0.0/embed/tests/testthat/test_discretize_xgb.R | 130 +++++++++- embed-1.0.0/embed/tests/testthat/test_hash.R | 21 + embed-1.0.0/embed/tests/testthat/test_mixed.R | 45 +++ embed-1.0.0/embed/tests/testthat/test_no_pooling.R | 40 +++ embed-1.0.0/embed/tests/testthat/test_pooling.R | 68 +++++ embed-1.0.0/embed/tests/testthat/test_sparse_pca.R | 23 + embed-1.0.0/embed/tests/testthat/test_tf.R | 15 + embed-1.0.0/embed/tests/testthat/test_umap.R | 18 + embed-1.0.0/embed/tests/testthat/test_woe.R | 14 + 59 files changed, 1111 insertions(+), 186 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-06-22 0.3.1
2022-02-22 0.3.0
Title: Extra 'Recipes' for Text Processing
Description: Converting text to numerical features requires specifically
created procedures, which are implemented as steps according to the
'recipes' package. These steps allows for tokenization, filtering,
counting (tf and tfidf) and feature hashing.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Diff between textrecipes versions 0.5.2 dated 2022-05-03 and 1.0.0 dated 2022-07-02
DESCRIPTION | 10 MD5 | 202 +++++----- NAMESPACE | 1 NEWS.md | 4 R/clean_levels.R | 5 R/clean_names.R | 4 R/embeddings.R | 6 R/hashing.R | 8 R/hashing_dummy.R | 8 R/lda.R | 6 R/lemma.R | 6 R/ngram.R | 6 R/pos_filter.R | 6 R/sequence_onehot.R | 6 R/stem.R | 6 R/stopwords.R | 5 R/text_normalization.R | 6 R/textfeature.R | 6 R/textrecipes-package.R | 1 R/tf.R | 6 R/tfidf.R | 8 R/tokenfilter.R | 6 R/tokenize.R | 6 R/tokenize_bpe.R | 6 R/tokenize_sentencepiece.R | 6 R/tokenize_wordpiece.R | 6 R/tokenmerge.R | 8 R/untokenize.R | 6 README.md | 5 build/vignette.rds |binary inst/doc/Working-with-n-grams.html | 166 ++++---- inst/doc/cookbook---using-more-complex-recipes-involving-text.html | 117 ++--- man/step_clean_levels.Rd | 6 man/step_clean_names.Rd | 6 man/step_dummy_hash.Rd | 6 man/step_lda.Rd | 6 man/step_lemma.Rd | 6 man/step_ngram.Rd | 6 man/step_pos_filter.Rd | 6 man/step_sequence_onehot.Rd | 6 man/step_stem.Rd | 6 man/step_stopwords.Rd | 6 man/step_text_normalization.Rd | 6 man/step_textfeature.Rd | 6 man/step_texthash.Rd | 2 man/step_tf.Rd | 6 man/step_tfidf.Rd | 6 man/step_tokenfilter.Rd | 6 man/step_tokenize.Rd | 77 ++- man/step_tokenize_bpe.Rd | 6 man/step_tokenize_sentencepiece.Rd | 6 man/step_tokenize_wordpiece.Rd | 6 man/step_tokenmerge.Rd | 6 man/step_untokenize.Rd | 6 man/step_word_embeddings.Rd | 6 man/textrecipes-package.Rd | 2 tests/testthat/_snaps/bpe_tokenize.md | 18 tests/testthat/_snaps/clean_levels.md | 18 tests/testthat/_snaps/clean_names.md | 18 tests/testthat/_snaps/embeddings.md | 19 tests/testthat/_snaps/hashing.md | 19 tests/testthat/_snaps/hashing_dummy.md | 18 tests/testthat/_snaps/lda.md | 19 tests/testthat/_snaps/lemma.md | 19 tests/testthat/_snaps/ngram.md | 19 tests/testthat/_snaps/pos_filter.md | 19 tests/testthat/_snaps/sentencepiece_tokenize.md | 18 tests/testthat/_snaps/sequence_onehot.md | 19 tests/testthat/_snaps/stem.md | 19 tests/testthat/_snaps/stopwords.md | 19 tests/testthat/_snaps/text_normalization.md | 18 tests/testthat/_snaps/textfeature.md | 18 tests/testthat/_snaps/tf.md | 19 tests/testthat/_snaps/tfidf.md | 19 tests/testthat/_snaps/tokenfilter.md | 21 + tests/testthat/_snaps/tokenize.md | 18 tests/testthat/_snaps/tokenmerge.md | 36 + tests/testthat/_snaps/untokenize.md | 19 tests/testthat/_snaps/wordpiece_tokenize.md | 18 tests/testthat/test-bpe_tokenize.R | 12 tests/testthat/test-clean_levels.R | 14 tests/testthat/test-clean_names.R | 1 tests/testthat/test-embeddings.R | 19 tests/testthat/test-hashing.R | 19 tests/testthat/test-hashing_dummy.R | 14 tests/testthat/test-lda.R | 20 tests/testthat/test-lemma.R | 20 tests/testthat/test-ngram.R | 19 tests/testthat/test-pos_filter.R | 21 + tests/testthat/test-sentencepiece_tokenize.R | 12 tests/testthat/test-sequence_onehot.R | 19 tests/testthat/test-stem.R | 18 tests/testthat/test-stopwords.R | 19 tests/testthat/test-text_normalization.R | 15 tests/testthat/test-textfeature.R | 13 tests/testthat/test-tf.R | 18 tests/testthat/test-tfidf.R | 19 tests/testthat/test-tokenfilter.R | 19 tests/testthat/test-tokenize.R | 13 tests/testthat/test-tokenmerge.R | 26 + tests/testthat/test-untokenize.R | 19 tests/testthat/test-wordpiece_tokenize.R | 13 102 files changed, 1361 insertions(+), 323 deletions(-)
Title: Extra Recipes Steps for Dealing with Unbalanced Data
Description: A dataset with an uneven number of cases in each class is
said to be unbalanced. Many models produce a subpar performance on
unbalanced datasets. A dataset can be balanced by increasing the
number of minority cases using SMOTE 2011 <arXiv:1106.1813>,
BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008
<https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the
number of majority cases using NearMiss 2003
<https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Diff between themis versions 0.2.2 dated 2022-05-11 and 1.0.0 dated 2022-07-02
DESCRIPTION | 12 ++--- MD5 | 73 +++++++++++++++---------------- NAMESPACE | 1 NEWS.md | 4 + R/misc.R | 25 ++++++++++ R/step_adasyn.R | 12 +++-- R/step_bsmote.R | 12 +++-- R/step_downsample.R | 52 +++++++++++++++++----- R/step_nearmiss.R | 11 +++- R/step_rose.R | 12 +++-- R/step_smote.R | 12 +++-- R/step_smotenc.R | 11 +++- R/step_tomek.R | 9 ++- R/step_upsample.R | 51 ++++++++++++++++----- R/themis-package.R | 1 README.md | 4 - build |only man/step_adasyn.Rd | 6 ++ man/step_bsmote.Rd | 6 ++ man/step_downsample.Rd | 8 +++ man/step_nearmiss.Rd | 6 ++ man/step_rose.Rd | 6 ++ man/step_smote.Rd | 6 ++ man/step_smotenc.Rd | 6 ++ man/step_tomek.Rd | 6 ++ man/step_upsample.Rd | 8 +++ man/themis-package.Rd | 2 tests/testthat/_snaps/step_downsample.md | 38 ++++++++++++++++ tests/testthat/_snaps/step_upsample.md | 38 ++++++++++++++++ tests/testthat/test-smotenc.R | 12 +++++ tests/testthat/test-step_adasyn.R | 12 +++++ tests/testthat/test-step_bsmote.R | 12 +++++ tests/testthat/test-step_downsample.R | 56 +++++++++++++++++++++++ tests/testthat/test-step_nearmiss.R | 12 +++++ tests/testthat/test-step_rose.R | 12 +++++ tests/testthat/test-step_smote.R | 12 +++++ tests/testthat/test-step_tomek.R | 12 +++++ tests/testthat/test-step_upsample.R | 56 +++++++++++++++++++++++ 38 files changed, 546 insertions(+), 88 deletions(-)
Title: WHOIS Server Querying
Description: Queries data from WHOIS servers.
Author: Brad Cable
Maintainer: Brad Cable <brad@bcable.net>
Diff between Rwhois versions 1.0.10 dated 2022-06-22 and 1.0.11 dated 2022-07-02
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/functions.R | 25 ++++++++++++++++++++----- README.md | 2 +- 4 files changed, 28 insertions(+), 13 deletions(-)
Title: The Interpolate, Truncate, Project (ITP) Root-Finding Algorithm
Description: Implements the Interpolate, Truncate, Project (ITP) root-finding
algorithm developed by Oliveira and Takahashi (2021) <doi:10.1145/3423597>.
The user provides the function, from the real numbers to the real numbers,
and an interval with the property that the values of the function at its
endpoints have different signs. If the function is continuous over this
interval then the ITP method estimates the value at which the function is
equal to zero. If the function is discontinuous then a point of
discontinuity at which the function changes sign may be found.
The function can be supplied using either an R function or an external
pointer to a C++ function. Tuning parameters of the ITP algorithm can be
set by the user. Default values are set based on arguments in Oliveira and
Takahashi (2021).
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Diff between itp versions 1.0.1 dated 2022-06-14 and 1.1.0 dated 2022-07-02
DESCRIPTION | 30 +++-- MD5 | 55 ++++++---- NAMESPACE | 5 NEWS.md | 24 +++- R/RcppExports.R |only R/itp-internal.R |only R/itp-package.R | 34 +++--- R/itp.R | 141 +++++++++++++++----------- R/itpPlot.R |only R/itpPrint.R | 3 README.md | 34 +++++- build/partial.rdb |binary inst/doc/itp-vignette.R | 29 ++++- inst/doc/itp-vignette.Rmd | 114 +++++++++++++++++---- inst/doc/itp-vignette.html | 188 +++++++++++++++++++++++++---------- inst/include |only man/figures/README-lambert-1.png |binary man/figures/README-staircase-1.png |binary man/figures/README-warsaw-1.png |binary man/itp-internal.Rd |only man/itp-package.Rd | 33 +++--- man/itp.Rd | 51 +++++++-- man/plot.itp.Rd |only man/xptr_create.Rd |only man/xptr_eval.Rd |only src |only tests/testthat/test-R-vs-Cpp.R |only tests/testthat/test-continuous.R | 39 ++++++- tests/testthat/test-errors.R | 9 + tests/testthat/test-multiple-roots.R |only tests/testthat/test-plot.R |only tests/testthat/test-print.R | 2 vignettes/itp-vignette.Rmd | 114 +++++++++++++++++---- 33 files changed, 665 insertions(+), 240 deletions(-)