Coincidence function for the gamma model
Calculates the coincidence function for the gamma model.
gammacoi(nu, L = 103, x, n = 400, max.conv = 25)
The interference parameter in the gamma model.
Maximal distance (in cM) at which to calculate the density. Ignored
If specified, points at which to calculate the density.
Number of points at which to calculate the density. The points
will be evenly distributed between 0 and
Maximum limit for summation in the convolution. This should be greater than the maximum number of chiasmata on the 4-strand bundle.
Let f(x;nu) denote the density of a gamma random variable with parameters shape=nu and rate=2 nu, and let f_k(x;nu) denote the density of a gamma random variable with parameters shape=k nu and rate=2 nu.
The coincidence function for the gamma model is C(x;nu) = sum_(k=1 to infty) f_k(x;nu)/2.
A data frame with two columns:
x is the distance (between 0
L, in cM) at which the coicidence was calculated and
Karl W Broman, firstname.lastname@example.org
Broman, K. W. and Weber, J. L. (2000) Characterization of human crossover interference. Am. J. Hum. Genet. 66, 1911–1926.
Broman, K. W., Rowe, L. B., Churchill, G. A. and Paigen, K. (2002) Crossover interference in the mouse. Genetics 160, 1123–1131.
McPeek, M. S. and Speed, T. P. (1995) Modeling interference in genetic recombination. Genetics 139, 1031–1044.
1 2 3 4 5 6 7 8 9 10 11 12
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.