Package index • admr

All functions

examplomycin: Examplomycin Dataset
fitIRMC(): Fit aggregate data using Iterative Reweighting with Monte Carlo updates
fitMC(): Fit aggregate data using the bobyqa algorithm with Monte Carlo updates
gen_pop_EV(): Compute expected population-level mean and covariance
gendataset(): Generate a simulated dataset
genfitfunc(): Generate a fitting function for optimization
genopts(): Generate options for aggregate data modeling
meancov(): Compute mean and covariance of a matrix
omegas(): Create a covariance matrix with specified diagonal and off-diagonal values
p_to_optim(): Convert parameters to optimizable form
plot(<fit_admr_result>): Plot diagnostics of fitIRMC results
print(<fit_admr_result>): Print fitIRMC results
timedIRMC(): Fit aggregate data using Iterative Reweighting with Monte Carlo updates
timedbobyqa(): Fit aggregate data using the bobyqa algorithm with Monte Carlo updates