Run models while leaving out individuals

These are wrapper functions around various qp functions, which will evaluate many models at once. The models are formed by leaving out every individual which belongs to a population with more than one sample, one at a time.

qp3pop_resample_inds(dir, inds, pops, verbose = TRUE, ...)

qpdstat_resample_inds(dir, inds, pops, verbose = TRUE, ...)

qpwave_resample_inds(dir, inds, pops, verbose = TRUE, ...)

qpadm_resample_inds(dir, inds, pops, verbose = TRUE, ...)

qpgraph_resample_inds(dir, inds, pops, verbose = TRUE, ...)

Arguments

dir

directory with precomputed data

inds

vector of individual names

pops

vector of population names. Should be the same length as inds

verbose

print progress updates

...

named arguments passed to the qp function.

Value

a nested data frame where each model is a row, and the columns are model parameters and model outputs

Examples

if (FALSE) {
res = qpadm_resample_inds
unnest(res, weights)
}