syn_mcmc_nimble: Application of the Markov Chain Monte Carlo using the nimble...

In leogalhardo/leo_galhardo: Synthetic coordinates generator for data frames that contain location

Application of the Markov Chain Monte Carlo using the nimble package

Description

To obtain the synthetic coordinates we are going to use the package nimble to apply the MCMC. Function "syn_mcmc_nimble" receives our database uses variables that we got in the function link:prepare_data to do the mcmc with nimble. By the end of this function we get the parameter lambda that will be required when creating the synthetic coordinates.

Usage

syn_mcmc_nimble(
  dataset,
  coord,
  limits = c(),
  grid = 10,
  S = 5000,
  burn = 1000,
  continuous = FALSE,
  spatial_beta = FALSE,
  return_parameters = FALSE
)

Arguments

dataset	A data frame with all the information except the coordinates
coord	An object with two columns indicating the latitude and longitude respectively of the elements in the dataset
limits	An object that is a vector of the dimensions where will be create the grids passed through the sequence of xmin, xmax, ymin, ymax. The default is create by using the maximum and the minimum of the coords object.
grid	The grid represents the quantities of divisions that will be made in the location. Bigger the grid, closer the synthetic coordinates are to the real coordinates. With a default result of (grid = 10)
S	Quantities of simulations that will be made. With a default result of (S = 5000)
burn	The number of simulations that will be burned to warm-up the mcmc. With a default result of (burn = 1000)
continuous	Option so the user can warn the function for the presence of continuous variables in the dataset. You must indicate the columns numbers that contain continuous variables in a vector
spatial_beta	Option so the user can choose to use a spatial beta parameter. You must input a vector containing which beta you want to add the spatiality. If you want to select all beta, you can use the logical argument TRUE
return_parameters	Option to return the result of the parameters. With default not returning the parameters
nchain	Quantities of chains that will be made. With a default result of (nchain = 1)

Value

Depending on the return_parameters parameter, this function can return only the lambda parameter or all other significant parameters too.

References

NUNES, Letícia. Métodos de Simulação de Dados Geográficos Sintéticos Para Bases Confidenciais. *Dissertação de Mestrado*, [s. l.], 2018. Disponível em: :{http//est.ufmg.br/portal/arquivos/mestrado/dissertacoes/dissertacao_Leticia_Silva_Nunes.pdf

Examples

  syn_mcmc_nimble(dataset = my_database, S = 2500, burn = 500, return_parameters = TRUE)

leogalhardo/leo_galhardo documentation built on June 13, 2025, 12:40 p.m.