Discrete Gamma function
discrete.gamma
internally used for the likelihood computations in
pml
or optim.pml
. It is useful to understand how it works
for simulation studies or in cases where .
discrete.gamma(alpha, k) plot_gamma_plus_inv(shape = 1, inv = 0, k = 4, discrete = TRUE, cdf = TRUE, append = FALSE, xlab = "x", ylab = ifelse(cdf, "F(x)", "f(x)"), xlim = NULL, verticals = FALSE, edge.length = NULL, site.rate = "gamma", ...) plotRates(obj, cdf.color = "blue", main = "cdf", ...)
alpha |
Shape parameter of the gamma distribution. |
k |
Number of intervals of the discrete gamma distribution. |
shape |
Shape parameter of the gamma distribution. |
inv |
Proportion of invariable sites. |
discrete |
logical whether to plot discrete (default) or continuous pdf or cdf. |
cdf |
logical whether to plot the cumulative distribution function or density / probability function. |
append |
logical; if TRUE only add to an existing plot. |
xlab |
a label for the x axis, defaults to a description of x. |
ylab |
a label for the y axis, defaults to a description of y. |
xlim |
the x limits of the plot. |
verticals |
logical; if TRUE, draw vertical lines at steps. |
edge.length |
Total edge length (sum of all edges in a tree). |
site.rate |
Indicates what type of gamma distribution to use. Options are "gamma" (Yang 1994) and "gamma_quadrature" using Laguerre quadrature approach of Felsenstein (2001) |
... |
Further arguments passed to or from other methods. |
obj |
an object of class pml |
cdf.color |
color of the cdf. |
main |
a main title for the plot. |
These functions are exported to be used in different packages so far only in
the package coalescentMCMC, but are not intended for end user. Most of the
functions call C code and are far less forgiving if the import is not what
they expect than pml
.
discrete.gamma
returns a matrix.
Klaus Schliep klaus.schliep@gmail.com
discrete.gamma(1, 4) old.par <- par(no.readonly = TRUE) par(mfrow = c(2,1)) plot_gamma_plus_inv(shape=2, discrete = FALSE, cdf=FALSE) plot_gamma_plus_inv(shape=2, append = TRUE, cdf=FALSE) plot_gamma_plus_inv(shape=2, discrete = FALSE) plot_gamma_plus_inv(shape=2, append = TRUE) par(old.par)
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