Package: AICcmodavg 2.3-3
AICcmodavg: Model Selection and Multimodel Inference Based on (Q)AIC(c)
Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from various model object classes. The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes. The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities. Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs', 'rjags', and 'jagsUI' classes. Functions also implement model selection using BIC. Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Authors:
AICcmodavg_2.3-3.tar.gz
AICcmodavg_2.3-3.zip(r-4.5)AICcmodavg_2.3-3.zip(r-4.4)AICcmodavg_2.3-3.zip(r-4.3)
AICcmodavg_2.3-3.tgz(r-4.4-any)AICcmodavg_2.3-3.tgz(r-4.3-any)
AICcmodavg_2.3-3.tar.gz(r-4.5-noble)AICcmodavg_2.3-3.tar.gz(r-4.4-noble)
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AICcmodavg.pdf |AICcmodavg.html✨
AICcmodavg/json (API)
NEWS
| # Install 'AICcmodavg' in R: |
| install.packages('AICcmodavg', repos = c('https://mamaz7.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- beetle - Flour Beetle Data
- bullfrog - Bullfrog Occupancy and Common Reed Invasion
- calcium - Blood Calcium Concentration in Birds
- cement - Heat Expended Following Hardening of Portland Cement
- dry.frog - Frog Dehydration Experiment on Three Substrate Types
- fat - Fat Data and Body Measurements
- gpa - GPA Data and Standardized Test Scores
- iron - Iron Content in Food
- lizards - Habitat Preference of Lizards
- min.trap - Anuran Larvae Counts in Minnow Traps Across Pond Type
- newt - Newt Capture-mark-recapture Data
- pine - Strength of Pine Wood Based on the Density Adjusted for Resin Content
- salamander - Salamander Capture-mark-recapture Data
- tortoise - Gopher Tortoise Distance Sampling Data
- turkey - Turkey Weight Gain
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:4cfec389cd. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 12 2024 |
| R-4.5-win | NOTE | Oct 12 2024 |
| R-4.5-linux | NOTE | Oct 12 2024 |
| R-4.4-win | NOTE | Oct 12 2024 |
| R-4.4-mac | NOTE | Oct 12 2024 |
| R-4.3-win | NOTE | Oct 12 2024 |
| R-4.3-mac | NOTE | Oct 12 2024 |
Exports:AICcAICcCustomaictabaictabCustomanovaODbictabbictabCustomboot.wtc_hatcheckConvcheckParmsconfsetcountDistcountHistcovDiagdetHistdetTimeDICdictabevidenceextractCNextractLLextractSEextractXfam.link.merformatCandsformulaShortictabimportancemb.chisqmb.gof.testmodavgmodavgCustommodavgEffectmodavgICmodavgPredmodavgShrinkmultCompNmix.chisqNmix.gof.testpredictSEpredictSE.glspredictSE.lmepredictSE.merpredictSE.merModpredictSE.unmarkedFitPCOpredictSE.unmarkedFitPCountreverse.excludereverse.parmsummaryODuseBICuseBICCustom
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppArmadilloRcppEigensurvivalTMBunmarkedVGAMxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Model Selection and Multimodel Inference Based on (Q)AIC(c) | AICcmodavg-package AICcmodavg |
| Computing AIC, AICc, QAIC, and QAICc | AICc AICc.aov AICc.betareg AICc.clm AICc.clmm AICc.coxme AICc.coxph AICc.default AICc.fitdist AICc.fitdistr AICc.glm AICc.glmmTMB AICc.gls AICc.gnls AICc.hurdle AICc.lavaan AICc.lm AICc.lme AICc.lmekin AICc.lmerModLmerTest AICc.maxlikeFit AICc.mer AICc.merMod AICc.multinom AICc.negbin AICc.nlme AICc.nls AICc.polr AICc.rlm AICc.survreg AICc.unmarkedFit AICc.vglm AICc.zeroinfl |
| Compute AIC, AICc, QAIC, and QAICc from User-supplied Input | AICcCustom |
| Defunct Functions in AICcmodavg Package | AICc.mult AICc.unmarked AICcmodavg-defunct aictab.clm aictab.clmm aictab.coxph aictab.glm aictab.gls aictab.lm aictab.lme aictab.mer aictab.merMod aictab.mult aictab.nlme aictab.nls aictab.polr aictab.rlm aictab.unmarked dictab.bugs dictab.rjags extract.LL extract.LL.coxph extract.LL.unmarked modavg.clm modavg.clmm modavg.coxph modavg.effect modavg.effect.glm modavg.effect.gls modavg.effect.lme modavg.effect.mer modavg.effect.merMod modavg.effect.rlm modavg.effect.unmarked modavg.glm modavg.gls modavg.lme modavg.mer modavg.merMod modavg.mult modavg.polr modavg.rlm modavg.shrink modavg.shrink.clm modavg.shrink.clmm modavg.shrink.coxph modavg.shrink.glm modavg.shrink.gls modavg.shrink.lme modavg.shrink.mer modavg.shrink.merMod modavg.shrink.mult modavg.shrink.polr modavg.shrink.rlm modavg.shrink.unmarked modavg.unmarked modavgpred modavgpred.glm modavgpred.gls modavgpred.lme modavgpred.mer modavgpred.merMod modavgpred.rlm modavgpred.unmarked mult.comp predictSE.zip |
| Create Model Selection Tables | aictab aictab.AICaov.lm aictab.AICbetareg aictab.AICclm aictab.AICclmm aictab.AICcoxme aictab.AICcoxph aictab.AICfitdist aictab.AICfitdistr aictab.AICglm.lm aictab.AICglmerMod aictab.AICglmmTMB aictab.AICgls aictab.AICgnls.gls aictab.AIChurdle aictab.AIClavaan aictab.AIClm aictab.AIClme aictab.AIClmekin aictab.AIClmerMod aictab.AIClmerModLmerTest aictab.AICmaxlikeFit.list aictab.AICmer aictab.AICmultinom.nnet aictab.AICnegbin.glm.lm aictab.AICnlme.lme aictab.AICnlmerMod aictab.AICnls aictab.AICpolr aictab.AICrlm.lm aictab.AICsclm.clm aictab.AICsurvreg aictab.AICunmarkedFitColExt aictab.AICunmarkedFitDS aictab.AICunmarkedFitDSO aictab.AICunmarkedFitGDS aictab.AICunmarkedFitGMM aictab.AICunmarkedFitGPC aictab.AICunmarkedFitMMO aictab.AICunmarkedFitMPois aictab.AICunmarkedFitOccu aictab.AICunmarkedFitOccuFP aictab.AICunmarkedFitOccuMS aictab.AICunmarkedFitOccuMulti aictab.AICunmarkedFitOccuRN aictab.AICunmarkedFitOccuTTD aictab.AICunmarkedFitPCO aictab.AICunmarkedFitPCount aictab.AICvglm aictab.AICzeroinfl aictab.default print.aictab |
| Create Model Selection Tables from User-supplied Input Based on (Q)AIC(c) | aictabCustom |
| Likelihood-Ratio Test Corrected for Overdispersion | anovaOD anovaOD.glm anovaOD.glmerMod anovaOD.maxlikeFit anovaOD.multinom anovaOD.unmarkedFitColExt anovaOD.unmarkedFitDS anovaOD.unmarkedFitDSO anovaOD.unmarkedFitGDS anovaOD.unmarkedFitGMM anovaOD.unmarkedFitGPC anovaOD.unmarkedFitMMO anovaOD.unmarkedFitMPois anovaOD.unmarkedFitOccu anovaOD.unmarkedFitOccuFP anovaOD.unmarkedFitOccuMS anovaOD.unmarkedFitOccuMulti anovaOD.unmarkedFitOccuRN anovaOD.unmarkedFitOccuTTD anovaOD.unmarkedFitPCO anovaOD.unmarkedFitPCount anovaOD.vglm print.anovaOD |
| Flour Beetle Data | beetle |
| Create Model Selection Tables Based on BIC | bictab bictab.AICaov.lm bictab.AICbetareg bictab.AICclm bictab.AICclmm bictab.AICcoxme bictab.AICcoxph bictab.AICfitdist bictab.AICfitdistr bictab.AICglm.lm bictab.AICglmerMod bictab.AICglmmTMB bictab.AICgls bictab.AICgnls.gls bictab.AIChurdle bictab.AIClavaan bictab.AIClm bictab.AIClme bictab.AIClmekin bictab.AIClmerMod bictab.AIClmerModLmerTest bictab.AICmaxlikeFit.list bictab.AICmer bictab.AICmultinom.nnet bictab.AICnlme.lme bictab.AICnlmerMod bictab.AICnls bictab.AICpolr bictab.AICrlm.lm bictab.AICsclm.clm bictab.AICsurvreg bictab.AICunmarkedFitColExt bictab.AICunmarkedFitDS bictab.AICunmarkedFitDSO bictab.AICunmarkedFitGDS bictab.AICunmarkedFitGMM bictab.AICunmarkedFitGPC bictab.AICunmarkedFitMMO bictab.AICunmarkedFitMPois bictab.AICunmarkedFitOccu bictab.AICunmarkedFitOccuFP bictab.AICunmarkedFitOccuMS bictab.AICunmarkedFitOccuMulti bictab.AICunmarkedFitOccuRN bictab.AICunmarkedFitOccuTTD bictab.AICunmarkedFitPCO bictab.AICunmarkedFitPCount bictab.AICvglm bictab.AICzeroinfl bictab.default print.bictab |
| Create Model Selection Tables from User-supplied Input Based on (Q)BIC | bictabCustom |
| Compute Model Selection Relative Frequencies | boot.wt boot.wt.AICaov.lm boot.wt.AICbetareg boot.wt.AICglm.lm boot.wt.AIChurdle boot.wt.AIClm boot.wt.AICmultinom.nnet boot.wt.AICpolr boot.wt.AICrlm.lm boot.wt.AICsclm.clm boot.wt.AICsurvreg boot.wt.AICvglm boot.wt.AICzeroinfl boot.wt.default print.boot.wt |
| Bullfrog Occupancy and Common Reed Invasion | bullfrog |
| Estimate Dispersion for Poisson and Binomial GLM's and GLMM's | c_hat c_hat.default c_hat.glm c_hat.glmmTMB c_hat.merMod c_hat.vglm print.c_hat |
| Blood Calcium Concentration in Birds | calcium |
| Heat Expended Following Hardening of Portland Cement | cement |
| Check Convergence of Fitted Model | checkConv checkConv.betareg checkConv.clm checkConv.clmm checkConv.default checkConv.glm checkConv.glmmTMB checkConv.hurdle checkConv.lavaan checkConv.lmerModLmerTest checkConv.maxlikeFit checkConv.merMod checkConv.multinom checkConv.nls checkConv.polr checkConv.unmarkedFit checkConv.zeroinfl print.checkConv |
| Identify Parameters with Large Standard Errors | checkParms checkParms.betareg checkParms.clm checkParms.clmm checkParms.coxme checkParms.coxph checkParms.default checkParms.glm checkParms.glmmTMB checkParms.gls checkParms.gnls checkParms.hurdle checkParms.lm checkParms.lme checkParms.lmekin checkParms.lmerModLmerTest checkParms.maxlikeFit checkParms.merMod checkParms.multinom checkParms.nlme checkParms.nls checkParms.polr checkParms.rlm checkParms.survreg checkParms.unmarkedFit checkParms.vglm checkParms.zeroinfl print.checkParms |
| Computing Confidence Set for the Kullback-Leibler Best Model | confset print.confset |
| Compute Summary Statistics from Distance Sampling Data | countDist countDist.default countDist.unmarkedFitDS countDist.unmarkedFitDSO countDist.unmarkedFitGDS countDist.unmarkedFrameDS countDist.unmarkedFrameDSO countDist.unmarkedFrameGDS print.countDist |
| Compute Summary Statistics from Count Histories | countHist countHist.default countHist.unmarkedFitGMM countHist.unmarkedFitGPC countHist.unmarkedFitMMO countHist.unmarkedFitMPois countHist.unmarkedFitPCO countHist.unmarkedFitPCount countHist.unmarkedFrameGMM countHist.unmarkedFrameGPC countHist.unmarkedFrameMMO countHist.unmarkedFrameMPois countHist.unmarkedFramePCO countHist.unmarkedFramePCount print.countHist |
| Compute Covariance Diagnostic for Lambda in _N_-mixture Models | covDiag covDiag.default covDiag.unmarkedFitPCount covDiag.unmarkedFramePCount print.covDiag |
| Compute Summary Statistics from Detection Histories | detHist detHist.default detHist.unmarkedFitColExt detHist.unmarkedFitOccu detHist.unmarkedFitOccuFP detHist.unmarkedFitOccuMS detHist.unmarkedFitOccuMulti detHist.unmarkedFitOccuRN detHist.unmarkedFrameOccu detHist.unmarkedFrameOccuFP detHist.unmarkedFrameOccuMS detHist.unmarkedFrameOccuMulti detHist.unmarkedMultFrame print.detHist |
| Compute Summary Statistics from Time to Detection Data | detTime detTime.default detTime.unmarkedFitOccuTTD detTime.unmarkedFrameOccuTTD print.detTime |
| Computing DIC | DIC DIC.bugs DIC.default DIC.jagsUI DIC.rjags |
| Create Model Selection Tables from Bayesian Analyses | dictab dictab.AICbugs dictab.AICjagsUI dictab.AICrjags dictab.default print.dictab |
| Frog Dehydration Experiment on Three Substrate Types | dry.frog |
| Compute Evidence Ratio Between Two Models | evidence print.evidence |
| Compute Condition Number | extractCN extractCN.default extractCN.unmarkedFit print.extractCN |
| Extract Log-Likelihood of Model | extractLL extractLL.coxme extractLL.coxph extractLL.default extractLL.lmekin extractLL.maxlikeFit extractLL.unmarkedFit extractLL.vglm |
| Extract SE of Fixed Effects | extractSE extractSE.coxme extractSE.default extractSE.lmekin extractSE.lmerModLmerTest extractSE.mer extractSE.merMod |
| Extract Predictors from Candidate Model List | extractX extractX.AICaov.lm extractX.AICglm.lm extractX.AICglmerMod extractX.AICglmmTMB extractX.AICgls extractX.AIClm extractX.AIClme extractX.AIClmerMod extractX.AIClmerModLmerTest extractX.AICrlm.lm extractX.AICsurvreg extractX.AICunmarkedFitColExt extractX.AICunmarkedFitDS extractX.AICunmarkedFitDSO extractX.AICunmarkedFitGDS extractX.AICunmarkedFitGMM extractX.AICunmarkedFitGPC extractX.AICunmarkedFitMMO extractX.AICunmarkedFitMPois extractX.AICunmarkedFitOccu extractX.AICunmarkedFitOccuFP extractX.AICunmarkedFitOccuMS extractX.AICunmarkedFitOccuMulti extractX.AICunmarkedFitOccuRN extractX.AICunmarkedFitOccuTTD extractX.AICunmarkedFitPCO extractX.AICunmarkedFitPCount extractX.default print.extractX |
| Extract Distribution Family and Link Function | fam.link.mer |
| Fat Data and Body Measurements | fat |
| GPA Data and Standardized Test Scores | gpa |
| Create Model Selection Tables from User-supplied Information Criterion | ictab print.ictab |
| Compute Importance Values of Variable | importance importance.AICaov.lm importance.AICbetareg importance.AICclm importance.AICclmm importance.AICclogit.coxph importance.AICcoxme importance.AICcoxph importance.AICglm.lm importance.AICglmerMod importance.AICglmmTMB importance.AICgls importance.AIChurdle importance.AIClm importance.AIClme importance.AIClmekin importance.AIClmerModLmerTest importance.AICmaxlikeFit.list importance.AICmer importance.AICmultinom.nnet importance.AICnegbin.glm.lm importance.AICnlmerMod importance.AICpolr importance.AICrlm.lm importance.AICsclm.clm importance.AICsurvreg importance.AICunmarkedFitColExt importance.AICunmarkedFitDS importance.AICunmarkedFitDSO importance.AICunmarkedFitGDS importance.AICunmarkedFitGMM importance.AICunmarkedFitGPC importance.AICunmarkedFitMMO importance.AICunmarkedFitMPois importance.AICunmarkedFitOccu importance.AICunmarkedFitOccuFP importance.AICunmarkedFitOccuMS importance.AICunmarkedFitOccuMulti importance.AICunmarkedFitOccuRN importance.AICunmarkedFitOccuTTD importance.AICunmarkedFitPCO importance.AICunmarkedFitPCount importance.AICvglm importance.AICzeroinfl importance.default print.importance |
| Iron Content in Food | iron |
| Habitat Preference of Lizards | lizards |
| Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models | mb.chisq mb.chisq.default mb.chisq.unmarkedFitColExt mb.chisq.unmarkedFitOccu mb.chisq.unmarkedFitOccuRN mb.gof.test mb.gof.test.default mb.gof.test.unmarkedFitColExt mb.gof.test.unmarkedFitOccu mb.gof.test.unmarkedFitOccuRN print.mb.chisq |
| Anuran Larvae Counts in Minnow Traps Across Pond Type | min.trap |
| Compute Model-averaged Parameter Estimate (Multimodel Inference) | modavg modavg.AICaov.lm modavg.AICbetareg modavg.AICclm modavg.AICclmm modavg.AICcoxme modavg.AICcoxph modavg.AICglm.lm modavg.AICglmerMod modavg.AICglmmTMB modavg.AICgls modavg.AIChurdle modavg.AIClm modavg.AIClme modavg.AIClmekin modavg.AIClmerMod modavg.AIClmerModLmerTest modavg.AICmaxlikeFit.list modavg.AICmer modavg.AICmultinom.nnet modavg.AICnegbin.glm.lm modavg.AICpolr modavg.AICrlm.lm modavg.AICsclm.clm modavg.AICsurvreg modavg.AICunmarkedFitColExt modavg.AICunmarkedFitDS modavg.AICunmarkedFitDSO modavg.AICunmarkedFitGDS modavg.AICunmarkedFitGMM modavg.AICunmarkedFitGPC modavg.AICunmarkedFitMMO modavg.AICunmarkedFitMPois modavg.AICunmarkedFitOccu modavg.AICunmarkedFitOccuFP modavg.AICunmarkedFitOccuMS modavg.AICunmarkedFitOccuMulti modavg.AICunmarkedFitOccuRN modavg.AICunmarkedFitOccuTTD modavg.AICunmarkedFitPCO modavg.AICunmarkedFitPCount modavg.AICvglm modavg.AICzeroinfl modavg.default print.modavg |
| Various Utility Functions | formatCands formulaShort reverse.exclude reverse.parm |
| Compute Model-averaged Parameter Estimate from User-supplied Input Based on (Q)AIC(c) | modavgCustom print.modavgCustom |
| Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) | modavgEffect modavgEffect.AICaov.lm modavgEffect.AICglm.lm modavgEffect.AICglmerMod modavgEffect.AICgls modavgEffect.AIClm modavgEffect.AIClme modavgEffect.AIClmerMod modavgEffect.AIClmerModLmerTest modavgEffect.AICmer modavgEffect.AICnegbin.glm.lm modavgEffect.AICrlm.lm modavgEffect.AICsurvreg modavgEffect.AICunmarkedFitColExt modavgEffect.AICunmarkedFitDS modavgEffect.AICunmarkedFitDSO modavgEffect.AICunmarkedFitGDS modavgEffect.AICunmarkedFitGMM modavgEffect.AICunmarkedFitGPC modavgEffect.AICunmarkedFitMMO modavgEffect.AICunmarkedFitMPois modavgEffect.AICunmarkedFitOccu modavgEffect.AICunmarkedFitOccuFP modavgEffect.AICunmarkedFitOccuMS modavgEffect.AICunmarkedFitOccuMulti modavgEffect.AICunmarkedFitOccuRN modavgEffect.AICunmarkedFitOccuTTD modavgEffect.AICunmarkedFitPCO modavgEffect.AICunmarkedFitPCount modavgEffect.default print.modavgEffect |
| Compute Model-averaged Parameter Estimate from User-supplied Information Criterion | modavgIC print.modavgIC |
| Compute Model-averaged Predictions | modavgPred modavgPred.AICaov.lm modavgPred.AICglm.lm modavgPred.AICglmerMod modavgPred.AICgls modavgPred.AIClm modavgPred.AIClme modavgPred.AIClmerMod modavgPred.AIClmerModLmerTest modavgPred.AICmer modavgPred.AICnegbin.glm.lm modavgPred.AICrlm.lm modavgPred.AICsurvreg modavgPred.AICunmarkedFitColExt modavgPred.AICunmarkedFitDS modavgPred.AICunmarkedFitDSO modavgPred.AICunmarkedFitGDS modavgPred.AICunmarkedFitGMM modavgPred.AICunmarkedFitGPC modavgPred.AICunmarkedFitMMO modavgPred.AICunmarkedFitMPois modavgPred.AICunmarkedFitOccu modavgPred.AICunmarkedFitOccuFP modavgPred.AICunmarkedFitOccuMS modavgPred.AICunmarkedFitOccuMulti modavgPred.AICunmarkedFitOccuRN modavgPred.AICunmarkedFitOccuTTD modavgPred.AICunmarkedFitPCO modavgPred.AICunmarkedFitPCount modavgPred.default print.modavgPred |
| Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) | modavgShrink modavgShrink.AICaov.lm modavgShrink.AICbetareg modavgShrink.AICclm modavgShrink.AICclmm modavgShrink.AICcoxme modavgShrink.AICcoxph modavgShrink.AICglm.lm modavgShrink.AICglmerMod modavgShrink.AICglmmTMB modavgShrink.AICgls modavgShrink.AIChurdle modavgShrink.AIClm modavgShrink.AIClme modavgShrink.AIClmekin modavgShrink.AIClmerMod modavgShrink.AIClmerModLmerTest modavgShrink.AICmaxlikeFit.list modavgShrink.AICmer modavgShrink.AICmultinom.nnet modavgShrink.AICnegbin.glm.lm modavgShrink.AICpolr modavgShrink.AICrlm.lm modavgShrink.AICsclm.clm modavgShrink.AICsurvreg modavgShrink.AICunmarkedFitColExt modavgShrink.AICunmarkedFitDS modavgShrink.AICunmarkedFitDSO modavgShrink.AICunmarkedFitGDS modavgShrink.AICunmarkedFitGMM modavgShrink.AICunmarkedFitGPC modavgShrink.AICunmarkedFitMMO modavgShrink.AICunmarkedFitMPois modavgShrink.AICunmarkedFitOccu modavgShrink.AICunmarkedFitOccuFP modavgShrink.AICunmarkedFitOccuMS modavgShrink.AICunmarkedFitOccuMulti modavgShrink.AICunmarkedFitOccuRN modavgShrink.AICunmarkedFitOccuTTD modavgShrink.AICunmarkedFitPCO modavgShrink.AICunmarkedFitPCount modavgShrink.AICvglm modavgShrink.AICzeroinfl modavgShrink.default print.modavgShrink |
| Create Model Selection Tables based on Multiple Comparisons | multComp multComp.aov multComp.default multComp.glm multComp.gls multComp.lm multComp.lme multComp.lmerModLmerTest multComp.mer multComp.merMod multComp.negbin multComp.rlm multComp.survreg print.multComp |
| Newt Capture-mark-recapture Data | newt |
| Compute Chi-square Goodness-of-fit Test for N-mixture Models | Nmix.chisq Nmix.chisq.default Nmix.chisq.unmarkedFitDS Nmix.chisq.unmarkedFitDSO Nmix.chisq.unmarkedFitGDS Nmix.chisq.unmarkedFitGMM Nmix.chisq.unmarkedFitGPC Nmix.chisq.unmarkedFitMMO Nmix.chisq.unmarkedFitMPois Nmix.chisq.unmarkedFitPCO Nmix.chisq.unmarkedFitPCount Nmix.gof.test Nmix.gof.test.default Nmix.gof.test.unmarkedFitDS Nmix.gof.test.unmarkedFitDSO Nmix.gof.test.unmarkedFitGDS Nmix.gof.test.unmarkedFitGMM Nmix.gof.test.unmarkedFitGPC Nmix.gof.test.unmarkedFitMMO Nmix.gof.test.unmarkedFitMPois Nmix.gof.test.unmarkedFitPCO Nmix.gof.test.unmarkedFitPCount print.Nmix.chisq |
| Strength of Pine Wood Based on the Density Adjusted for Resin Content | pine |
| Computing Predicted Values and Standard Errors | predictSE predictSE.default predictSE.gls predictSE.lme predictSE.lmerModLmerTest predictSE.mer predictSE.merMod predictSE.unmarkedFitPCO predictSE.unmarkedFitPCount |
| Salamander Capture-mark-recapture Data | salamander |
| Display Model Summary Corrected for Overdispersion | print.summaryOD summaryOD summaryOD.glm summaryOD.glmerMod summaryOD.maxlikeFit summaryOD.multinom summaryOD.unmarkedFitColExt summaryOD.unmarkedFitDS summaryOD.unmarkedFitDSO summaryOD.unmarkedFitGDS summaryOD.unmarkedFitGMM summaryOD.unmarkedFitGPC summaryOD.unmarkedFitMMO summaryOD.unmarkedFitMPois summaryOD.unmarkedFitOccu summaryOD.unmarkedFitOccuFP summaryOD.unmarkedFitOccuMS summaryOD.unmarkedFitOccuMulti summaryOD.unmarkedFitOccuRN summaryOD.unmarkedFitOccuTTD summaryOD.unmarkedFitPCO summaryOD.unmarkedFitPCount summaryOD.vglm |
| Gopher Tortoise Distance Sampling Data | tortoise |
| Turkey Weight Gain | turkey |
| Computing BIC or QBIC | useBIC useBIC.aov useBIC.betareg useBIC.clm useBIC.clmm useBIC.coxme useBIC.coxph useBIC.default useBIC.fitdist useBIC.fitdistr useBIC.glm useBIC.glmmTMB useBIC.gls useBIC.gnls useBIC.hurdle useBIC.lavaan useBIC.lm useBIC.lme useBIC.lmekin useBIC.lmerModLmerTest useBIC.maxlikeFit useBIC.mer useBIC.merMod useBIC.multinom useBIC.nlme useBIC.nls useBIC.polr useBIC.rlm useBIC.survreg useBIC.unmarkedFit useBIC.vglm useBIC.zeroinfl |
| Custom Computation of BIC and QBIC from User-supplied Input | useBICCustom |
| Format Objects to LaTeX or HTML | xtable.aictab xtable.anovaOD xtable.bictab xtable.boot.wt xtable.checkParms xtable.countDist xtable.countHist xtable.detHist xtable.detTime xtable.dictab xtable.ictab xtable.mb.chisq xtable.modavg xtable.modavgCustom xtable.modavgEffect xtable.modavgIC xtable.modavgPred xtable.modavgShrink xtable.multComp xtable.summaryOD |
