bootstrap | Bootstrapping for GAI models |
contains_covariates | Determine if a given parameter uses covariates |
dzip | Zero-Inflated Poisson Density Evaluation |
evaluate_splines | Spline model density evaluation. |
evaluate_stopover | Stopover model density evaluation. |
extract_counts | Extract a count matrix from a data.frame |
fit_GAI | GAI model fitting |
generate_mixture_pars | Generate random parameter values for non-spline models |
generate_spline_pars | Generate random parameter values for spline models |
get_cov_skeleton_and_DM | Obtain skeleton and Design Matrix |
get_parameter_values | Obtain parameter values and handle covariate formulas |
get_parameter_values_all_rows | Parameter value finding helper for covariate inclusion |
logLik.GAI | Log likelihood extraction |
lp_func | Parameter value finding helper for covariate inclusion |
means_backtransform | Backtransform for means |
means_link | Mean link function |
mixture_nll | Normal mixture negative Log Likelihood |
plot.GAI | GAI flight path plotting |
print.summary.GAI | GAI model summary printing |
probs_backtransform | Backtransform for weights |
probs_link | Probability link function |
produce_skeleton | Produce a skeleton for GAI parameters |
profile_ll | Profile (concentrated) likelihood evaluation for GAI |
rcpp_hello_world | Simple function using Rcpp |
rGAI | rGAI: Generalised Abundance Index fitting for seasonal... |
rzip | Zero-Inflated Poisson Random Number Generation |
sim_n_mixture | Normal mixture sampling |
simulate_data | Simulate data from the GAI |
summary.GAI | GAI model summary |
sum_to_one | Normalisation function |
thin_NA | Introduce NAs into matrices |
transform_bootstrap_parameters | Transforms bootstrap confidence intervals for custom... |
transform_output | Parameter transformation |
transform_starting_values | Transform starting values to the link scale |
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