dynConfiR 1.0.0 (May 2025)
- change in the precision argument for all models. It is now an
integer argument representing the approximate precision of the density
in digits. Default is 6 for all models in the density functions.
- Added precision argument in the fitting functions. With default to
3
- renamed the DDMConf model to DDConf to align with published
literature
- renamed the functions for dynaViTE model (ddynaViTE and
rdynaViTE);
- Added functions for quantitative model comparison (see
?group_BMS?
)
- the functions dWEV and rWEV will be kept for now but maybe removed
in future releases of the package, they will produce a deprecation
warning now
- Minor changes:
- Bug fix in fitting Race Models with time-dependend confidence
variable. Before, the weight ‘wrt’ was bound from above by the weight
‘wx’ because of a bug.
- Added a UserInterrupt() call in all longer-running C-functions.
dynConfiR 0.0.4 (January
2024)
Fixed a CRAN note and improved robustness in fitting functions, and
simulations. Also improved initial parameter sets for model fitting.
dynConfiR 0.0.3 (April 2023)
Improvements
- added the dynaViTE model (generalization of dynWEV with
time-dependent confidence variable), which includes the additional
lambda which can also be fitted
- improved fitting procedure for dynaViTE/dynWEV and 2DSD: confidence
thresholds for starting parameters in the initial grid search are now
estimated using simulations; this decreases the size of the initial grid
drastically, while improving the initial values
- adapted code to changes in the new dplyr release (1.1.1)
dynConfiR 0.0.2 (December
2022)
Improvements
- added the DDMConf model (density:
dDDMConf
, RNG:
rDDMConf
), also for fitting and prediction.
d2DSD
and ddynaViTE
added argument
lambda
. DynWEV and 2DSD are generalized with the confidence
measure explicitly depending on decision time. lambda
controls the power of decision time by which the confidence measure is
divided.
d2DSD
and ddynaViTE
added argument
stop_on_zero
: For the calculation of likelihoods, it is
useful to stop as soon as one probability is 0, since then the
likelihood is 0.
- included starting point and drift rate variation in IRMt
(experimental!, see
dIRM2
)
- fitting 2DSD and dynWEV: improved the finding of stating values for
confidence thresholds.
- many bug fixes and increased robustness
dynConfiR 0.0.1 (May 2022)
First CRAN release Version 0.0.1