R/max_lik_fitting_functions.R
init_trunc_gauss_mix.Rd
Do random number draws to initialize a truncated Gaussian mixture
init_trunc_gauss_mix( K, num_draws, tau_min, tau_max, s_min = 0, input_seed = NA )
K | The number of mixture components |
---|---|
num_draws | The number of draws to make (if more than one, a matrix is returned rather than a vector) |
tau_min | The minimum calendar date (AD) for the sampling grid |
tau_max | The maximum calendar date (AD) for the sampling grid |
s_min | The minimum value for the mixture standard deviations (default: 0) |
input_seed | A single integer for initializing the random number seed prior to making draws (default: NA, no seed set) |
A matrix of parameter vectors with dimensions 3K by num_draws. If
num_draws=1
, a vector with length 3K is returned rather than a matrix.
The parameter vector, theta (th), has the ordering
th = (pi_1,...,pi_K,mu_1,..mu_K,s_1,...s_K), where K is the number of
mixture components and pi_k / mu_k / s_k are, respectively, the weighting /
mean / standard deviation of the k-th mixture. The mixture proportions are
drawn from a Dirichlet distribution with rep(1,K)
used for the dispersion
parameter. The means are drawn from a uniform distribution on the interval
tau_min to tau_max. The standard deviations are drawn from a uniform
distribution on the interval s_min to tau_max - tau_min. By default, s_min is
0.