sdmTMB 0.6.0

• Pass several arguments to DHARMa::plotQQunif().

• Add silent option in simulate.sdmTMB(). Setting it to FALSE allows
  monitoring simulations from larger models.

• Fix bug in est_non_rf1 and est_non_rf2 columns when all the following
  conditions were true:

  • predicting on new data
  • using a delta model
  • including IID random intercepts or time-varying coefficients
    See #342. Thanks to @tom-peatman for the issue report.

• Fix delta-gamma binomial link printing for type = 'poisson-link' #340

• Add suggestion to use an optimized BLAS library to README.

• Add warning if it's detected that there were problems reloading (e.g., with
  readRDS()) a fitted model. Simultaneously revert the approach to
  how reloaded models are reattached.

• Move log_ratio_mix parameter to 2nd phase with starting value of -1 instead
  of 0 to improve convergence.

• Fix bugs for nbinom1() and nbinom2_mix() simulation.

• Allow profile argument in the control list to take a character vector of
  parameters. This move these parameters from the outer optimization problem to
  the inner problem (but omits from the from the Laplace approximation). See
  documentation in TMB. This can considerably speed up fitting models with many
  fixed effects.

• Add theoretical quantile residuals for the generalized gamma distribution.
  Thanks to J.C. Dunic. #333

• Add "poisson-link" option to delta-mixture lognormal.

• Fix bug in simulation from Poisson-link delta models.

• Simplify the internal treatment of extra time slices (extra_time). #329
  This is much less bug prone and also fixes a recently introduced bug. #335
  This can slightly affect model results compared to the previous approach if
  extra time was used along with smoothers since the 'fake' extra data
  previously used was included when mgcv determined knot locations for
  smoothers.