Skip to contents

All functions

dispersion()
Calculate a measure for dispersion
dispersion_check()
Use simulations to check for overdispersion or underdispersion
distribution_check()
Use simulations to compare the observed distribution with the modelled distribution
fast_aggregation_check()
Fast aggregation check Compare the observed and modelled aggregated values.
fast_distribution_check()
Use simulations to compare the observed distribution with the modelled distribution
fitted(<inla>)
Extract the fitted values from an INLA model
generate_data()
Generate dummy data with several distributions
get_anomaly()
Get a set of anomalies of the model
get_observed()
get the observed values from the model object
dgpoisson() rgpoisson()
The generalised Poisson distribution
plot(<dispersion_check>)
Plot the results from a dispersion check
plot(<distribution_check>)
Plot the results from a distribution check
plot(<sim_iid>)
Plot Simulated Random Intercepts
plot(<sim_rw>)
Plot Simulated Random Walks
prec2sd()
Convert the posterior marginal of a precision to a standard deviation
residuals(<inla>)
Calculate the Residuals From an INLA Model
rzanbinom()
Zero altered negative binomial
rzapois()
Zero-altered Poisson
rzinbinom()
Zero inflated negative binomial
rzipois()
Zero-inflated Poisson
select_change()
Select Fast Changing Simulations from an sim_rw Object
select_divergence()
Select Diverging Simulations from an sim_rw Object
select_poly()
Select Random Walks Best Matching Some Polygon Coefficients
select_quantile()
select the quantiles from an sim_rw object
simulate_iid()
simulate data from a second order random walk
simulate_rw()
simulate data from a second order random walk
var_nbinom() var_zinbinom1() var_zipois1()
Variance of the negative binomial distribution