interpolate.qtl.distance: Interpolates QTL location error for sample populations with...
In gkeele/sparcc: Simulated Power Analysis in the Realized Collaborative Cross

This function interpolates the QTL location error for an experimental mapping population with replicates based on dense simulated power results in simulations with only a single observation per strain.

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interpolate.qtl.distance(r1.results, qtl.effect.sizes,
  strain.effect.sizes = 0, num.replicates, n.alleles, n.strains,
  n.mean.pseudo = 10)

`r1.results`	Data frame of power estimates from simulations based on a single observation per strain. r1.dist.dat is included in SPARCC for this purpose.
`qtl.effect.sizes`	The desired QTL effect sizes for which power estimates will be interpolated from dense single observation results.
`strain.effect.sizes`	DEFAULT: 0. The desired proportions of variance due to background strain effect for hypothetical population in which power is evaluated.
`num.replicates`	The desired number of replicates for a hypothetical study in which to evaluate power.
`n.alleles`	The number of functional alleles for the simulated QTL.
`n.strains`	The number of CC strains for the desired interpolated power estimate.
`n.mean.psuedo`	DEFAULT: 10. The number of psuedo observations (of 2.5) to be used for regularization.