res_bliss1 {bliss} | R Documentation |

A result of the BliSS method

res_bliss1

a Bliss object (list)

- alpha
a list of Q numerical vector. Each vector is the function alpha(t) associated to a functional covariate. For each t, alpha(t) is the posterior probabilities of the event "the support covers t".

- beta_posterior_density
a list of Q items. Each item contains a list containing information to plot the posterior density of the coefficient function with the

`image`

function.`grid_t`

a numerical vector: the x-axis.

`grid_beta_t`

a numerical vector: the y-axis.

`density`

a matrix: the z values.

`new_beta_sample`

a matrix: beta sample used to compute the posterior densities.

- beta_sample
a list of Q matrices. The qth matrix is a posterior sample of the qth functional covariates.

- Bliss_estimate
a list of numerical vectors corresponding to the Bliss estimates of each functional covariates.

- chains_info
a list containing (for each chain): a mu estimate, a sigma_sq estimate, the Smooth estimate of the coefficient function and the autocorrelation of the Markov Chain.

- data
see the description of the object

`data1`

.- posterior_sample
a list containing (for each chain) the result of the

`Bliss_Gibbs_Sampler`

function.- Smooth_estimate
a list containing the Smooth estimates of the coefficient functions.

- support_estimate
a list containing the estimations of the support.

- support_estimate_fct
a list containing the estimation of the support.

- trace_sann
a list containing (for each chain) the trace of the Simulated Annealing algorithm.

[Package *bliss* version 1.0.2 Index]