Package: melt 1.11.4

Eunseop Kim

melt: Multiple Empirical Likelihood Tests

Performs multiple empirical likelihood tests. It offers an easy-to-use interface and flexibility in specifying hypotheses and calibration methods, extending the framework to simultaneous inferences. The core computational routines are implemented using the 'Eigen' 'C++' library and 'RcppEigen' interface, with 'OpenMP' for parallel computation. Details of the testing procedures are provided in Kim, MacEachern, and Peruggia (2023) <doi:10.1080/10485252.2023.2206919>. A companion paper by Kim, MacEachern, and Peruggia (2024) <doi:10.18637/jss.v108.i05> is available for further information. This work was supported by the U.S. National Science Foundation under Grants No. SES-1921523 and DMS-2015552.

Authors:Eunseop Kim [aut, cph, cre], Steven MacEachern [ctb, ths], Mario Peruggia [ctb, ths], Pierre Chausse [rev], Alex Stringer [rev]

melt_1.11.4.tar.gz
melt_1.11.4.zip(r-4.5)melt_1.11.4.zip(r-4.4)melt_1.11.4.zip(r-4.3)
melt_1.11.4.tgz(r-4.4-x86_64)melt_1.11.4.tgz(r-4.4-arm64)melt_1.11.4.tgz(r-4.3-x86_64)melt_1.11.4.tgz(r-4.3-arm64)
melt_1.11.4.tar.gz(r-4.5-noble)melt_1.11.4.tar.gz(r-4.4-noble)
melt_1.11.4.tgz(r-4.4-emscripten)melt_1.11.4.tgz(r-4.3-emscripten)
melt.pdf |melt.html
melt/json (API)
NEWS

# Install 'melt' in R:
install.packages('melt', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ropensci/melt/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

28 exports 11 stars 7.58 score 7 dependencies 3 mentions 80 scripts 1.4k downloads

Last updated 5 months agofrom:ac2f294bae (on main). Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-win-x86_64OKOct 13 2024
R-4.5-linux-x86_64OKOct 13 2024
R-4.4-win-x86_64OKOct 13 2024
R-4.4-mac-x86_64OKOct 13 2024
R-4.4-mac-aarch64OKOct 13 2024
R-4.3-win-x86_64OKOct 13 2024
R-4.3-mac-x86_64OKOct 13 2024
R-4.3-mac-aarch64OKOct 13 2024

Exports:chisqcoefconfintconfregconvcritValel_controlel_evalel_glmel_lmel_meanel_sdeldelmteltformulagetDFgetOptimlogLlogLRlogProbnobsplotprintpValsigTestssummaryweights

Dependencies:backportsBHcheckmatedqrngRcppRcppEigensitmo

melt: Multiple Empirical Likelihood Tests

Rendered fromarticle.Rnwusingknitr::knitron Oct 13 2024.

Last update: 2024-05-16
Started: 2022-08-02

Model fitting

Rendered frommodel.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2024-02-25
Started: 2022-07-25

Performance

Rendered fromperformance.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2024-02-25
Started: 2022-07-05

Readme and manuals

Help Manual

Help pageTopics
CEL classCEL CEL-class
Chi-square statisticchisq chisq,EL-method chisq,ELMT-method chisq,ELT-method chisq,SummaryEL-method chisq,SummaryELMT-method chisq,SummaryELT-method chisq,SummaryLM-method
Clothianidin concentration in maize plantsclothianidin
Model coefficientscoef coef,EL-method coef,ELMT-method coef,SummaryEL-method coef,SummaryLM-method
Confidence interval for model parametersconfint confint,EL-method confint,ELMT-method
Confidence region for model parametersconfreg confreg,EL-method
ConfregEL classConfregEL ConfregEL-class
ControlEL classControlEL ControlEL-class
Convergence checkconv conv,CEL-method conv,EL-method conv,ELT-method conv,SummaryEL-method conv,SummaryELT-method conv,SummaryLM-method
Critical valuecritVal critVal,ELMT-method critVal,ELT-method critVal,SummaryELMT-method critVal,SummaryELT-method
Control parameters for computationel_control
Empirical likelihood for general estimating functionsel_eval
Empirical likelihood for generalized linear modelsel_glm
Empirical likelihood for linear modelsel_lm
Empirical likelihood for the meanel_mean
Empirical likelihood for the standard deviationel_sd
EL classEL EL-class
Empirical likelihood displacementeld eld,EL-method eld,GLM-method eld,missing-method
ELD classELD ELD-class
Empirical likelihood multiple testselmt elmt,EL-method
ELMT classELMT ELMT-class
Empirical likelihood testelt elt,EL-method elt,missing-method elt,QGLM-method elt,SD-method
ELT classELT ELT-class
Degrees of freedomgetDF getDF,EL-method getDF,ELMT-method getDF,ELT-method getDF,SummaryEL-method getDF,SummaryELMT-method getDF,SummaryLM-method
Optimization resultsgetOptim getOptim,EL-method getOptim,ELT-method getOptim,SummaryEL-method getOptim,SummaryELT-method getOptim,SummaryLM-method
GLM classGLM GLM-class
LM classformula,LM-method LM LM-class
Empirical log-likelihoodlogL logL,EL-method logL,ELT-method logL,SummaryEL-method logL,SummaryELT-method logL,SummaryLM-method
Empirical log-likelihood ratiologLR logLR,EL-method logLR,ELT-method logLR,SummaryEL-method logLR,SummaryELT-method logLR,SummaryLM-method
Log probabilitieslogProb logProb,EL-method logProb,ELT-method
Number of observations in a modelnobs nobs,EL-method nobs,SummaryEL-method nobs,SummaryLM-method
Plot methodsplot plot,ConfregEL-method plot,EL-method plot,ELD-method
Print methodsprint print,EL-method print,ELMT-method print,ELT-method print,LM-method print,SummaryEL-method print,SummaryELMT-method print,SummaryELT-method print,SummaryGLM-method print,SummaryLM-method
p-valuepVal pVal,EL-method pVal,ELMT-method pVal,ELT-method pVal,SummaryEL-method pVal,SummaryELMT-method pVal,SummaryELT-method pVal,SummaryLM-method
QGLM classQGLM QGLM-class
SD classSD SD-class
Significance testssigTests sigTests,LM-method
Summary methodssummary summary,EL-method summary,ELMT-method summary,ELT-method summary,GLM-method summary,LM-method summary,QGLM-method
SummaryEL classSummaryEL SummaryEL-class
SummaryELMT classSummaryELMT SummaryELMT-class
SummaryELT classSummaryELT SummaryELT-class
SummaryGLM classSummaryGLM SummaryGLM-class
SummaryLM classSummaryLM SummaryLM-class
SummaryQGLM classSummaryQGLM SummaryQGLM-class
Thiamethoxam applications in squash cropsthiamethoxam
Model weightsweights weights,EL-method