Version 22.8.1.0.2
The following fixes are in version 1.0.2:
- Function 'single_continuous_fit' and 'ma_continuous_fit' changed error when defining default priors
for 'distribution=normal-ncv' when data are negative. Originally the variance was described as mean(Y)/var(Y);
however, for negative means, this causes NA error. It is now defined as abs(mean(Y))/var(Y).
- Log-normal distribution fits were incorrect when summarized data was used. The correct transformation of
summarized data is now performed. The formula for standard deviation was typed in as sqrt(log((sd)^2/mu + 1)) it is now sqrt(log((sd/mu)^2+1)).
- Changed default priors for dichotomous fits to be consistant with Wheeler et al. (2020).
The following changes to fitting were made:
- Changed MLE Polynomial fit behavior. Now the terms up to the quadratic are constrained to be in the direction
of the response. After this, i.e., degree >= 3, the parameters are unconstrained.
- Added summary and print methods for mcmc model averaging.
Known Problems not yet fixed
- GoF for MA individual models not given.
- GoF for dichotomous models with (0/1) data fails.
