Initial values of censored observations for the NMixMCMC function
This is a help function for NMixMCMC
function. If
inity
is not given, it calculates reasonable initial values for
censored observations. If inity
argument is given then it is
checked for consistency and formatted on output.
THIS FUNCTION IS NOT TO BE CALLED BY ORDINARY USERS.
NMixMCMCinity(y0, y1, censor, sd.init, are.Censored, are.Right, are.Exact, are.Left, are.Interval, p, n, inity, random=FALSE)
y0 |
see output from |
y1 |
see output from |
censor |
see output from |
sd.init |
a vector of length p with initial values for overall standard deviations in each margin |
are.Censored |
see output from |
are.Right |
see output from |
are.Exact |
see output from |
are.Left |
see output from |
are.Interval |
see output from |
p |
dimension of the data |
n |
number of observations |
inity |
a vector (if p=1) or a n x p matrix (if p >= 1) of initial values of censored observations to be checked for consistency. If not given then reasonable initials are generated. |
random |
logical value. If |
A n x p matrix with reasonable initial values for censored observations.
Arnošt Komárek arnost.komarek[AT]mff.cuni.cz
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.