bbmle
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maximum likelihood estimation package
method is referred to optim; it is hard to figure out that the default method is actually different.
I'm a huge fan of leveraging `mle2` for fitting complex models. However, I have run into multiple instances where I obtain values for downstream quantities like AICc which don't make...
For binomial data, the sample size to use in the calculation of BIC should be the total number of trials, not the number of binomial observations: see p779 of [Kass...
R version 4.1.3 optimx version 2021.10.12 bbmle version 1.0.24 minqa version 1.2.4 when running mle2() with optimx, the 'bobyqa' method was returning NAs in place of the parameters when the...
some optimizer (e.g. `nlminb`) take a hessian. In principle this should (?) be fairly easy to pass through ...
(1) the package is failing on r-devel-windows-...-UCRT because lots of packages are missing on that platform (rms, ggplot2, Hmisc, testthat) (2) the noLD platform is listed under "additional issues"; when...
Ben, How difficult would it be to adapt an `mle2` object for clustered data using a sandwich estimator? In `rstpm2`, I currently replace the `vcov` slot with a sandwich estimator,...
... doesn't work. Argument naming (`namedrop` etc.) is a huge mess, needs to be refactored.
BDR reports that `profbounds.R` throws a warning under noLD: ``` * using log directory ‘/data/gannet/ripley/R/packages/tests-noLD/bbmle.Rcheck’ * using R Under development (unstable) (2019-12-19 r77606) * using platform: x86_64-pc-linux-gnu (64-bit) ... Comparing...