Adapt tests, vignettes and examples

- Write the NEWS
- Static documentation rebuilt by pkgdown
- Adapt mkinerrmin
- Fix (hopefully all) remaining problems in mkinfit

1 files changed, 6 insertions, 6 deletions

diff --git a/man/summary.mkinfit.Rd b/man/summary.mkinfit.Rd
index 3d71917e..cbc9098c 100644
--- a/man/summary.mkinfit.Rd
+++ b/man/summary.mkinfit.Rd
@@ -5,10 +5,10 @@
   Summary method for class "mkinfit"

 }

 \description{

-  Lists model equations, the summary as returned by \code{\link{summary.modFit}},

-  the chi2 error levels calculated according to FOCUS guidance (2006) as far

-  as defined therein, and optionally the data, consisting of observed, predicted

-  and residual values.

+  Lists model equations, initial parameter values, optimised parameters with some

+  uncertainty statistics, the chi2 error levels calculated according to FOCUS

+  guidance (2006) as defined therein, formation fractions, DT50 values and

+  optionally the data, consisting of observed, predicted and residual values.

 }

 \usage{

 \method{summary}{mkinfit}(object, data = TRUE, distimes = TRUE, alpha = 0.05, ...)

@@ -39,8 +39,7 @@
 }

 }

 \value{

-  The summary function returns a list derived from

-  \code{\link{summary.modFit}}, with components, among others

+  The summary function returns a list with components, among others

   \item{version, Rversion}{The mkin and R versions used}

   \item{date.fit, date.summary}{The dates where the fit and the summary were produced}

   \item{use_of_ff}{Was maximum or minimum use made of formation fractions}

@@ -54,6 +53,7 @@
   \item{errmin }{The chi2 error levels for each observed variable.}

   \item{bparms.ode }{All backtransformed ODE parameters, for use as starting parameters for

     related models.}

+  \item{errparms }{Error model parameters. }

   \item{ff }{The estimated formation fractions derived from the fitted model.}

   \item{distimes }{The DT50 and DT90 values for each observed variable.}

   \item{SFORB}{If applicable, eigenvalues of SFORB components of the model.}