This function is a convenience wrapper around the simplify method implemented in tskit, designed to work on tree sequence data simulated by SLiM using the slendr R package.

ts_simplify(ts, simplify_to = NULL, keep_input_roots = FALSE)

## Arguments

ts

Tree sequence object of the class slendr_ts

simplify_to

A character vector of individual names. If NULL, all explicitly remembered individuals (i.e. those specified via the schedule_sampling function will be left in the tree sequence after the simplification.

keep_input_roots

Should the history ancestral to the MRCA of all samples be retained in the tree sequence? Default is FALSE.

## Value

Tree sequence object of the class slendr_ts

## Details

The simplification process is used to remove redundant information from the tree sequence and retains only information necessary to describe the genealogical history of a set of samples.

For more information on how simplification works in pyslim and tskit, see the official documentation at https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.simplify and https://tskit.dev/pyslim/docs/latest/tutorial.html#simplification.

A very clear description of the difference between remembering and retaining and how to use these techniques to implement historical individuals (i.e. ancient DNA samples) is in the pyslim documentation at https://tskit.dev/pyslim/docs/latest/tutorial.html#historical-individuals.

ts_nodes for extracting useful information about individuals, nodes, coalescent times and geospatial locations of nodes on a map

## Examples

if (FALSE)  # simplify tree sequence to sampled individuals
ts_simplified <- ts_simplify(ts)

# simplify to a subset of sampled individuals
ts_small <- ts_simplify(
ts,
simplify_to = c("CH_1", "NEA_1", "NEA_2", "AFR_1",
"AFR_2", "EUR_20", "EUR_50")
)