v2.2.2

Breaking changes

• Saem non-mu reference input parameters/covariates were fixed so they
  work correctly with fixed parameters (Issue #445)

• Focei changed back to having a lower bound for standard deviations
  when not specified. This means that best model fits may change. You
  can revert to the old settings by using
  foceiControl(sdLowerFact=0.0). You can also change the factors to
  other values than the default value, that is
  foceiControl(sdLowerFact=0.000001) for instance which would
  multiply the initial value by 0.000001 when either the lower bound
  isn't specified or the lower bound is specified as zero for the
  error estimates related to error-based standard deviations.

• In nlmixr2, expressions are optimized. Because of that
  optimization, numerical rounding differences can cause different
  directions in optimization when fixing parameters in the model
  vs. fixing the parameters manually.

  This means that the fixed parameters in a model vs hard-coded fixed
  parameters could give different values in the final model.

  A new option literalFix was introduced which change the fixed
  population parameters to constants in the model while running the
  optimization. This makes the output of fixing within the model and
  fixing manually the same (which is what is likely expected). The
  default is for this to be turned on (ie. literalFix=TRUE). You
  can get back the old behavior by using the option
  literalFix=FALSE.

• In saem, the monte-carlo sampling occurs for all parameters
  including non-informative ETAs. A fix ensure that non-informative
  etas in saem are fixed to zero while sampling the phi values.
  This may change results for models with uninformative etas. To
  ignore the uninformative etas with saem you ca use use the prior
  saem handling with saemControl(handleUninformativeEtas=FALSE).

New features

• Gracefully degrade when $cov is not in the right form (see #423)

• Add support for PopED in place solving (used in babelmixr2)

• If est=foceiControl() or other nlmixr2 control with the class
  foceiControl infer the estimation method is focei

What's Changed

• No lin b by @mattfidler in #417
• 423 assertion on env$cov failed must be of type matrix not character should gracefully degrade and produce a captured warning by @mattfidler in #425
• fix checkmate assertions by @mattfidler in #426
• Add predict estimation method and test it is the same as predict() by @mattfidler in #437
• 427 single solver per pre loaded by @mattfidler in #430
• Warfarin rik by @mattfidler in #438
• Literal fix by @mattfidler in #439
• amt and evid need to be missing for evid imputation by @mattfidler in #441
• 442 test for uninformative etas by @mattfidler in #444

Full Changelog: v2.2.1...v2.2.2