Package: fasthurdle 1.2.0

fasthurdle: Fast Implementation of Hurdle Models

Provides fast hurdle regression models for count data using C++ implementations via 'Rcpp'. Supports the same functionality as the hurdle function in the 'pscl' package, with improved performance for large datasets.

Authors:Masahiro Kanai [aut, cre]

fasthurdle_1.2.0.tar.gz
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fasthurdle_1.2.0.tgz(r-4.6-x86_64)fasthurdle_1.2.0.tgz(r-4.6-arm64)fasthurdle_1.2.0.tgz(r-4.5-x86_64)fasthurdle_1.2.0.tgz(r-4.5-arm64)
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fasthurdle_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fasthurdle/json (API)

# Install 'fasthurdle' in R:
install.packages('fasthurdle', repos = c('https://mkanai.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mkanai/fasthurdle/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

3.00 score 3 stars 11 scripts 16 exports 12 dependencies

Last updated from:743734a457. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK225
linux-devel-x86_64OK182
source / vignettesOK289
linux-release-arm64OK174
linux-release-x86_64OK187
macos-release-arm64OK133
macos-release-x86_64OK255
macos-oldrel-arm64OK180
macos-oldrel-x86_64OK363
windows-develOK203
windows-releaseOK200
windows-oldrelOK170
wasm-releaseOK147

Exports:acat_stagewiseCCTfast_negbin_hurdlefasthurdlefit_null_countfit_null_zerohurdle_scanhurdle.controlhurdletestjiang_doerge_fdrjoint_score_testpredprob.fasthurdleprepare_score_cache_countprepare_score_cache_zeroscore_test_countscore_test_zero

Dependencies:BHbigmemorybigmemory.srifastglmFormulalatticeMatrixRcppRcppArmadilloRcppEigenroptimuuid

Readme and manuals

Help Manual

Help pageTopics
ACAT stage-wise testing for hurdle model FDR controlacat_stagewise
Cauchy Combination Test (CCT / ACAT)CCT
Extract Model Coefficients from a Hurdle Modelcoef.fasthurdle
Extract AIC from a Hurdle ModelextractAIC.fasthurdle
Fast Negative Binomial Hurdle Model with Binomial Zero Hurdlefast_negbin_hurdle
Fit Hurdle Regression Models for Count Datafasthurdle
Fit a Null Count Model for Score Testingfit_null_count
Fit Null Zero Model for Cachingfit_null_zero
Extract Fitted Values from a Hurdle Modelfitted.fasthurdle
Batch Score Test Scan for Hurdle Modelshurdle_scan
Control Parameters for Hurdle Modelshurdle.control
Test for Equality of Count and Zero Model Coefficientshurdletest
Jiang-Doerge two-stage FDR procedure for hurdle modelsjiang_doerge_fdr
Joint 2-df score test with stage-wise mode classificationjoint_score_test
Extract Log-Likelihood from a Hurdle ModellogLik.fasthurdle
Extract Model Matrix from a Hurdle Modelmodel.matrix.fasthurdle
Predict Method for Hurdle Modelspredict.fasthurdle
Predict Probabilities from a Hurdle Modelpredprob.fasthurdle
Prepare cached quantities for fast per-peak count score testsprepare_score_cache_count
Prepare cached quantities for fast per-peak zero score testsprepare_score_cache_zero
Print Method for Hurdle Modelsprint.fasthurdle
Print Method for Summary of Hurdle Modelsprint.summary.fasthurdle
Extract Residuals from a Hurdle Modelresiduals.fasthurdle
Score test for the count component of a hurdle modelscore_test_count
Score Test for Zero (Binomial/Logit) Componentscore_test_zero
Summary Method for Hurdle Modelssummary.fasthurdle
Extract Terms from a Hurdle Modelterms.fasthurdle
Extract Variance-Covariance Matrix from a Hurdle Modelvcov.fasthurdle