diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2019-10-21 12:11:34 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-10-21 12:11:34 +0200 |
| commit | 7624a2b8398b4ad665a3b0b622488e1893a5ee7c (patch) | |
| tree | 30e5bc32adc77de6540e68fa80a157f893c7770d /tests/testthat/summary_DFOP_FOCUS_C.txt | |
| parent | 8ce251e5ee619a240da2381eda58bc94a554ca37 (diff) | |
Refactor mkinfit, infrastructure work
mkinfit objects now include an ll() function to calculate the
log-likelihood. Part of the code was refactored, hopefully making it
easier to read and maintain. IRLS is currently the default algorithm for
the error model "obs", for no particular reason. This may be subject
to change when I get around to investigate.
Slow tests are now in a separate subdirectory and will probably
only be run by my own Makefile target.
Formatting of test logs is improved.
Roundtripping error model parameters works with a precision of 10% when
we use lots of replicates in the synthetic data (see slow tests). This
is not new in this commit, but as I think it is reasonable this
closes #7.
Diffstat (limited to 'tests/testthat/summary_DFOP_FOCUS_C.txt')
| -rw-r--r-- | tests/testthat/summary_DFOP_FOCUS_C.txt | 12 |
1 files changed, 5 insertions, 7 deletions
diff --git a/tests/testthat/summary_DFOP_FOCUS_C.txt b/tests/testthat/summary_DFOP_FOCUS_C.txt index b1afeff6..90ce82e2 100644 --- a/tests/testthat/summary_DFOP_FOCUS_C.txt +++ b/tests/testthat/summary_DFOP_FOCUS_C.txt @@ -17,12 +17,11 @@ Error model: Constant variance Error model algorithm: OLS Starting values for parameters to be optimised: - value type -parent_0 85.100000 state -k1 0.100000 deparm -k2 0.010000 deparm -g 0.500000 deparm -sigma 0.696237 error + value type +parent_0 85.10 state +k1 0.10 deparm +k2 0.01 deparm +g 0.50 deparm Starting values for the transformed parameters actually optimised: value lower upper @@ -30,7 +29,6 @@ parent_0 85.100000 -Inf Inf log_k1 -2.302585 -Inf Inf log_k2 -4.605170 -Inf Inf g_ilr 0.000000 -Inf Inf -sigma 0.696237 0 Inf Fixed parameter values: None |