Direct error model fitting works

- No IRLS required
- Removed optimization algorithms other than Port
- Removed the dependency on FME
- Fitting the error model 'obs' is much faster for the FOCUS_2006_D
  dataset and the FOMC_SFO model (1 second versus 3.4 seconds)
- Vignettes build slower. Compiled models needs 3 minutes instead of 1.5
- For other vignettes, the trend is less clear. Some fits are faster,
  even for error_model = "const". FOCUS_Z is faster (34.9 s versus
  44.1 s)
- Standard errors and confidence intervals are slightly smaller
- Removed code for plotting during the fit, as I hardly ever used it
- Merged the two cost functions (using transformed and untransformed
  parameters) into one log-likelihood function

1 files changed, 1 insertions, 3 deletions

diff --git a/NAMESPACE b/NAMESPACE
index 6ca41a43..18adb9c5 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -22,9 +22,6 @@ S3method(mkinpredict, mkinfit)
 import(
   stats,
   graphics,
-  FME,
-  minpack.lm,
-  rootSolve,
   inline,
   parallel
 )
@@ -35,3 +32,4 @@ importFrom(R6, R6Class)
 importFrom(grDevices, dev.cur)
 importFrom(plyr, join)
 importFrom(utils, write.table)
+importFrom(numDeriv, hessian)