##version 1.2.3 * return shape algorithm fail info to model summary table * added grid_start argument option to sar_average and sar_multi * edited grid_start to ensure very small starting par values are always included * edited how grid_start works and have added a grid_n argument * changed the negative exponential model fitting process so that the z parameter can be any number rather than constrained between 0 and 1. * changed the asymptotic model fitting process so that a negative z-value cannot be returned * bug corrections in the confidence interval function, and adapting it to work with grid_start * Changing model plotting to plot smooth curves by creating 1000 fitted values using fitted parameters
Version 1.2.2
- bug fix - no AICc option in confidence interval function
- changed AIC, BIC and AICc equations to be calculated using the same approach as the nls and lm functions.
Version 1.2.1
- added a warning for when all richness values are identical
- adding functionality to plot.multi for plotting the multimodel curve on top of the other model fits
Version 1.2.0
- bug fixes (bar plot of weight x-axis labels order was incorrect in some cases)
- logT argument added to lin_pow function (can choose log-transformation function)
Version 1.1.2
- bug fixes
- additional tests added
- sar_pred() function added for SAR extrapolation
- negative fitted value check (fit$neg_check) returned for each individual model fit
- knitr error correction (for CRAN)
Version 1.1.1
- added vignette
- bug fixes
- internal updates
- Version archived on Zenodo
Version 1.1.0
- sar_multi() split into two functions: sar_multi() and sar_average()
- New sar_multi() replaces fit_collection()
- unit testing added
- functions added to bring up a list of all models with information
- bug fixes
Version 1.0.0