acfCSP {AnaCoDa} | R Documentation |
Plots ACF for codon specific parameter traces
Description
The function calculates and by defaults plots the acf and estimates the autocorrelation in the trace
Usage
acfCSP(
parameter,
csp = "Mutation",
numMixtures = 1,
samples = NULL,
lag.max = 40,
plot = TRUE
)
Arguments
parameter |
object of class Parameter |
csp |
indicates which parameter to calculate the autocorrelation. Must be Mutation (the default, ROC, FONSE), Selection (ROC, FONSE), Alpha (PA, PANSE), LambdaPrime (PA, PANSE), NSERate (PA, PANSE)" |
numMixtures |
indicates the number of CSP mixtures used |
samples |
number of samples at the end of the trace used to calculate the acf |
lag.max |
Maximum amount of lag to calculate acf. Default is 10*log10(N), where N i the number of observations. |
plot |
logical. If TRUE (default) a plot of the acf is created |
See Also
[Package AnaCoDa version 0.1.4.4 Index]