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author | Johannes Ranke <jranke@uni-bremen.de> | 2019-07-08 18:12:21 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-07-09 09:10:02 +0200 |
commit | e0bef15657df1d6cade99cc3f6d8b07fa35792fe (patch) | |
tree | 7d050ac3b25e37a952a1f4efa46263980fbe502b /man/mkinfit.Rd | |
parent | 67d032fb345f8e0afc7628d7525da5b7f0a98f79 (diff) |
Adaptations for gmkin
Address winbuilder check problems, update check log, update of static docs
Diffstat (limited to 'man/mkinfit.Rd')
-rw-r--r-- | man/mkinfit.Rd | 11 |
1 files changed, 8 insertions, 3 deletions
diff --git a/man/mkinfit.Rd b/man/mkinfit.Rd index e7d35e4d..f7dd7009 100644 --- a/man/mkinfit.Rd +++ b/man/mkinfit.Rd @@ -31,7 +31,8 @@ mkinfit(mkinmod, observed, quiet = FALSE, atol = 1e-8, rtol = 1e-10, n.outtimes = 100, error_model = c("const", "obs", "tc"), - error_model_algorithm = c("d_3", "direct", "twostep", "threestep", "fourstep", "IRLS"), + error_model_algorithm = c("d_3", "direct", "twostep", "threestep", "fourstep", "IRLS", + "OLS"), reweight.tol = 1e-8, reweight.max.iter = 10, trace_parms = FALSE, ...) } @@ -200,10 +201,14 @@ mkinfit(mkinmod, observed, with fixed error model parameters, and finally minimizes the negative log-likelihood with free degradation and error model parameters. - The algorithm "IRLS" starts with unweighted least squares, - and then iterates optimization of the error model parameters and subsequent + The algorithm "IRLS" (Iteratively Reweighted Least Squares) starts with + unweighted least squares, and then iterates optimization of the error model + parameters and subsequent optimization of the degradation model using those error model parameters, until the error model parameters converge. + + The algorithm "OLS" (Ordinary Least Squares) is automatically selected when + the error model is "const" and results in an unweighted least squares fit. } \item{reweight.tol}{ Tolerance for the convergence criterion calculated from the error model |