It estimates the parameters of a censored or missing data in spatio-temporal models using the SAEM algorithm (Delyon et al., 1999). This algorithm is a stochastic approximation of the widely used EM algorithm and an important tool for models in which the E-step does not have an analytic form. Besides the expressions obtained to estimate the parameters to the proposed model, we include the calculations for the observed information matrix using the method developed by Louis (1982). To examine the performance of the fitted model, case-deletion measure are provided.
|Author||Larissa A. Matos [aut, cre] (<https://orcid.org/0000-0002-2635-0901>), Katherine L. Valeriano [aut] (<https://orcid.org/0000-0001-6388-4753>), Victor H. Lachos [ctb] (<https://orcid.org/0000-0002-7239-2459>)|
|Maintainer||Larissa A. Matos <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.