obtain_u_set_mix1 | R Documentation |
obtain_u_set_mix1
computes the profile posterior density of the threshold u, and subsets the thresholds (and other parameter values) with high profile values i.e. within a certain value from the maximum posterior density. The set of u can then be used for mcmc_mix1
.
obtain_u_set_mix1(
df,
positive = FALSE,
u_max = 2000L,
log_diff_max = 11,
alpha1_init = 0.01,
theta1_init = exp(-1),
alpha2_init = 2,
a_psiu = 0.1,
b_psiu = 0.9,
m_alpha1 = 0,
s_alpha1 = 10,
a_theta1 = 1,
b_theta1 = 1,
m_alpha2 = 0,
s_alpha2 = 10,
x_max = 1e+05
)
df |
A data frame with at least two columns, x & count |
positive |
Boolean, is alpha1 positive (TRUE) or unbounded (FALSE, default)? |
u_max |
Positive integer for the maximum threshold |
log_diff_max |
Positive real number, the value such that thresholds with profile posterior density not less than the maximum posterior density - |
alpha1_init |
Scalar, initial value of alpha1 |
theta1_init |
Scalar, initial value of theta1 |
alpha2_init |
Scalar, initial value of alpha2 |
a_psiu , b_psiu , m_alpha1 , s_alpha1 , a_theta1 , b_theta1 , m_alpha2 , s_alpha2 |
Scalars, hyperparameters of the priors for the parameters |
x_max |
Scalar (default 100000), positive integer limit for computing the normalising constant |
A list: u_set
is the vector of thresholds with high posterior density, init
is the data frame with the maximum profile posterior density and associated parameter values, profile
is the data frame with all thresholds with high posterior density and associated parameter values, scalars
is the data frame with all arguments (except df)
mcmc_mix1_wrapper
that wraps obtain_u_set_mix1
and mcmc_mix1
, obtain_u_set_mix2
for the equivalent function for the 2-component mixture model
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