PatraSen_dist_calc {admix} | R Documentation |
Compute the distance to be minimized using Patra and Sen estimation technique by integrating along some given grid the appropriate distance. For further developments, see 'Details' below.
PatraSen_dist_calc(data, gridsize = 200)
data |
Sample where the known component density of the admixture model has been transformed into a Uniform(0,1) distribution. |
gridsize |
Gridsize to make the computations. |
See Patra, R.K. and Sen, B. (2016); Estimation of a Two-component Mixture Model with Applications to Multiple Testing; JRSS Series B, 78, pp. 869–893.
a list containing the evaluated distance and some additional information.
Xavier Milhaud xavier.milhaud.research@gmail.com
comp.dist <- list(f = 'norm', g = 'norm') comp.param <- list(f = list(mean = 3, sd = 0.5), g = list(mean = 0, sd = 1)) data1 <- rsimmix(n = 3000, unknownComp_weight = 0.6, comp.dist, comp.param)[['mixt.data']] data1_transfo <- knownComp_to_uniform(data = data1, comp.dist = list(comp.dist$f, comp.dist$g), comp.param = list(comp.param$f, comp.param$g)) PatraSen_dist_calc(data = data1_transfo, gridsize = 200)