NEWS.md
rhat
argument to glance()
and converged()
to adjust convergence threshold, with default value of 1.05. Convergence no longer depends on ess
.exclude_year
argument in bb_fit_survival_ml()
as failure to fit fixed year effect resolved with intercept adjustment.year_start
) not matching for survival and recruitment model fits in bb_predict_growth()
.bb_predict_calf_cow_ratio()
bb_predict_recruitment()
now predicts adjusted recruitment, following methods in DeCesare (2012). Previous output of bb_predict_recruitment()
can now be obtained by running bb_predict_calf_cow_ratio()
.yearling_proportion_female
argument in bb_fit_recruitment()
to sex_ratio
. This matches bbouretro
language and arguments in bb_predict_recruitment()
.include_uncertain_morts
argument in bb_fit_survival()
to TRUE. This matches default behaviour in bbouretro
.bboudata
.bb_fit_recruitment()
will error if there are any NA values in the PopulationName, Year, Month and Day columns.bb_fit_survival()
will error if there are any NA values in the PopulationName, Year, Month, StartTotal, MortalitiesCertain and MortalitiesUncertain columns.Added ‘Getting Started’ vignette.
Added functions:
bb_predict_survival_trend()
bb_predict_recruitment_trend()
bb_plot_year_trend_survival()
bb_plot_year_trend_recruitment()
bb_predict_population_change()
bb_plot_year_population_change()
plot()
(plot traceplots for bboufit object)Added arguments:
year_start = 4L
to bb_fit_survival()
and bb_fit_recruitment()
to set caribou year start month as integer - (default April)yearling_female_proportion = 0.5
to bb_fit_recruitment()
to set yearling sex ratioyear_trend = FALSE
to bb_fit_survival()
and bb_fit_recruitment()
to fit model with year trendinclude_random_effects = TRUE
to coef()
/tidy()
to provide possibility of removing individual random effect estimatesbb_fit_survival_ml()
bb_fit_recruitment_ml
priors = c(b0_mu = 4, b0_sd = 2)
instead of priors = list(b0 = "dnorm(4, 2^-2)")
).sig_fig
to coef()
/tidy()
/predict()
methods to round estimates and lower/upper bounds to set significant figures.bb_predict_growth()
now handles different years and doesn’t return month.bb_predict_lambda()
for bb_predict_growth()
.bb_plot_year_growth()
.bb_plot_year_recruitment()
.bb_plot_month_survival()
.bb_plot_year_survival()
.bb_plot_month()
.