Package: bbmle 1.0.25.9000
bbmle: Tools for General Maximum Likelihood Estimation
Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.
Authors:
bbmle_1.0.25.9000.tar.gz
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bbmle.pdf |bbmle.html✨
bbmle/json (API)
NEWS
| # Install 'bbmle' in R: |
| install.packages('bbmle', repos = c('https://bbolker.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bbolker/bbmle/issues
Last updated 2 months agofrom:b5a036abda. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win | WARNING | Nov 06 2024 |
| R-4.5-linux | WARNING | Nov 06 2024 |
| R-4.4-win | WARNING | Nov 06 2024 |
| R-4.4-mac | WARNING | Nov 06 2024 |
| R-4.3-win | WARNING | Nov 06 2024 |
| R-4.3-mac | WARNING | Nov 06 2024 |
Exports:AICAICcAICctabAICtabanovaBICtabcall.to.charcoefconfintdeviancednorm_nformulaICtablogLikmle2mle2.optionsnamedropparnamesparnames<-plotpop_pred_samppredictproffunprofileqAICqAICcrelist2residualssbetasbetabinomsbinomsimulatesliceslice1Dslice2DsliceOldslnormsnbinomsnormspoisstdErsummaryupdatevcov
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| convert profile to data frame | as.data.frame.profile.mle2 coerce,profile.mle2,data.frame-method coerce,profile.mle2-method |
| Log likelihoods and model selection for mle2 objects | AIC,mle2-method AIC-methods AICc AICc,ANY,mle2,logLik-method AICc,ANY-method AICc,logLik-method AICc,mle2-method AICc-methods anova,mle2-method BIC-methods logLik,mle2-method logLik-methods qAIC qAIC,ANY,mle2,logLik-method qAIC,ANY-method qAIC,logLik-method qAIC,mle2-method qAIC-methods qAICc qAICc,ANY,mle2,logLik-method qAICc,ANY-method qAICc,logLik-method qAICc,mle2-method qAICc-methods |
| Convert calls to character | call.to.char |
| Normal distribution with profiled-out standard deviation | dnorm_n |
| extract model names | get.mnames |
| Compute table of information criteria and auxiliary info | AICctab AICtab BICtab ICtab print.ICtab |
| Maximum Likelihood Estimation | calc_mle2_function mle mle2 |
| Class "mle2". Result of Maximum Likelihood Estimation. | coef,mle2-method coerce,mle,mle2-method deviance,mle2-method formula,mle2-method mle2-class show,mle2-method slice,mle2-method stdEr stdEr,mle2-method summary,mle2-method update,mle2-method vcov,mle2-method |
| Options for maximum likelihood estimation | mle2.options |
| drop unneeded names from list elements | namedrop |
| get and set parameter names | parnames parnames<- |
| generate population prediction sample from parameters | pop_pred_samp |
| Predicted values from an mle2 fit | gfun predict,mle2-method predict-methods residuals,mle2-method simulate,mle2-method |
| Likelihood profiles | proffun profile,mle2-method profile-methods profile.mle2 |
| Methods for likelihood profiles | confint,mle2-method confint,profile.mle2-method confint.mle2 plot,profile.mle2,missing-method plot,profile.mle2-method plot.profile.mle2 profile.mle2-class show,profile.mle2-method |
| reconstruct the structure of a list | relist2 |
| Abstract definitions of distributions | sbeta sbetabinom sbinom slnorm snbinom snorm spois |
| Calculate likelihood "slices" | slice slice1D slice2D sliceOld slicetrans |
| likelihood-surface slices | slice.mle2-class |
| Wrap strings at white space and + symbols | strwrapx |
| Class "summary.mle2", summary of "mle2" objects | coef,summary.mle2-method show,summary.mle2-method summary.mle2-class |
