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is only one random effect in the model. Also add a test for this.
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The vignette illustrates pH dependent degradation (covariate modelling)
with some detail for the parent compound.
Also, a bug in the saem method of the illparms function was fixed, which
prevented to find ill-defined parameters in cases where e.g. slopes of
covariate models have a negative estimate.
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For the case of single fits and no ill-defined parameters found
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- 'R/mhmkin.R': New method for performing multiple hierarchical mkin fits in one function call, optionally in parallel.
- 'R/saem.R': 'logLik' and 'update' methods for 'saem.mmkin' objects.
- 'R/illparms.R': Add methods for 'saem.mmkin' and 'mhmkin' objects.
tests: Use 2 cores on travis, should work according to docs
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Also, add a method for gathering convergence information
and a method for gathering information on ill-defined parameters
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