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:
melt_1.11.4.tar.gz
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melt_1.11.4.tar.gz(r-4.5-noble)melt_1.11.4.tar.gz(r-4.4-noble)
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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')) |
Bug tracker:https://github.com/ropensci/melt/issues
Pkgdown:https://docs.ropensci.org
- clothianidin - Clothianidin concentration in maize plants
- thiamethoxam - Thiamethoxam applications in squash crops
Last updated 7 months agofrom:ac2f294bae (on main). Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 12 2024 |
| R-4.5-win-x86_64 | OK | Dec 12 2024 |
| R-4.5-linux-x86_64 | OK | Dec 12 2024 |
| R-4.4-win-x86_64 | OK | Dec 12 2024 |
| R-4.4-mac-x86_64 | OK | Dec 12 2024 |
| R-4.4-mac-aarch64 | OK | Dec 12 2024 |
| R-4.3-win-x86_64 | OK | Dec 12 2024 |
| R-4.3-mac-x86_64 | OK | Dec 12 2024 |
| R-4.3-mac-aarch64 | OK | Dec 12 2024 |
Exports:chisqcoefconfintconfregconvcritValel_controlel_evalel_glmel_lmel_meanel_sdeldelmteltformulagetDFgetOptimlogLlogLRlogProbnobsplotprintpValsigTestssummaryweights
melt: Multiple Empirical Likelihood Tests
Rendered fromarticle.Rnwusingknitr::knitron Dec 12 2024.Last update: 2024-05-16
Started: 2022-08-02
Model fitting
Rendered frommodel.Rmdusingknitr::rmarkdownon Dec 12 2024.Last update: 2024-02-25
Started: 2022-07-25
Performance
Rendered fromperformance.Rmdusingknitr::rmarkdownon Dec 12 2024.Last update: 2024-02-25
Started: 2022-07-05
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CEL class | CEL CEL-class |
| Chi-square statistic | chisq 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 plants | clothianidin |
| Model coefficients | coef coef,EL-method coef,ELMT-method coef,SummaryEL-method coef,SummaryLM-method |
| Confidence interval for model parameters | confint confint,EL-method confint,ELMT-method |
| Confidence region for model parameters | confreg confreg,EL-method |
| ConfregEL class | ConfregEL ConfregEL-class |
| ControlEL class | ControlEL ControlEL-class |
| Convergence check | conv conv,CEL-method conv,EL-method conv,ELT-method conv,SummaryEL-method conv,SummaryELT-method conv,SummaryLM-method |
| Critical value | critVal critVal,ELMT-method critVal,ELT-method critVal,SummaryELMT-method critVal,SummaryELT-method |
| Control parameters for computation | el_control |
| Empirical likelihood for general estimating functions | el_eval |
| Empirical likelihood for generalized linear models | el_glm |
| Empirical likelihood for linear models | el_lm |
| Empirical likelihood for the mean | el_mean |
| Empirical likelihood for the standard deviation | el_sd |
| EL class | EL EL-class |
| Empirical likelihood displacement | eld eld,EL-method eld,GLM-method eld,missing-method |
| ELD class | ELD ELD-class |
| Empirical likelihood multiple tests | elmt elmt,EL-method |
| ELMT class | ELMT ELMT-class |
| Empirical likelihood test | elt elt,EL-method elt,missing-method elt,QGLM-method elt,SD-method |
| ELT class | ELT ELT-class |
| Degrees of freedom | getDF getDF,EL-method getDF,ELMT-method getDF,ELT-method getDF,SummaryEL-method getDF,SummaryELMT-method getDF,SummaryLM-method |
| Optimization results | getOptim getOptim,EL-method getOptim,ELT-method getOptim,SummaryEL-method getOptim,SummaryELT-method getOptim,SummaryLM-method |
| GLM class | GLM GLM-class |
| LM class | formula,LM-method LM LM-class |
| Empirical log-likelihood | logL logL,EL-method logL,ELT-method logL,SummaryEL-method logL,SummaryELT-method logL,SummaryLM-method |
| Empirical log-likelihood ratio | logLR logLR,EL-method logLR,ELT-method logLR,SummaryEL-method logLR,SummaryELT-method logLR,SummaryLM-method |
| Log probabilities | logProb logProb,EL-method logProb,ELT-method |
| Number of observations in a model | nobs nobs,EL-method nobs,SummaryEL-method nobs,SummaryLM-method |
| Plot methods | plot plot,ConfregEL-method plot,EL-method plot,ELD-method |
| Print methods | print 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-value | pVal pVal,EL-method pVal,ELMT-method pVal,ELT-method pVal,SummaryEL-method pVal,SummaryELMT-method pVal,SummaryELT-method pVal,SummaryLM-method |
| QGLM class | QGLM QGLM-class |
| SD class | SD SD-class |
| Significance tests | sigTests sigTests,LM-method |
| Summary methods | summary summary,EL-method summary,ELMT-method summary,ELT-method summary,GLM-method summary,LM-method summary,QGLM-method |
| SummaryEL class | SummaryEL SummaryEL-class |
| SummaryELMT class | SummaryELMT SummaryELMT-class |
| SummaryELT class | SummaryELT SummaryELT-class |
| SummaryGLM class | SummaryGLM SummaryGLM-class |
| SummaryLM class | SummaryLM SummaryLM-class |
| SummaryQGLM class | SummaryQGLM SummaryQGLM-class |
| Thiamethoxam applications in squash crops | thiamethoxam |
| Model weights | weights weights,EL-method |
