rp: Generate random vector deviates of transition probabilities.

In MobilePhoneESSnetBigData/pestim: Population Estimations Using Mobile Phone Data

Description

Generate random vector deviates of the transition probabilities p_{ij}(t_{0}, t_{n}) for a given cell i stacked into an n\times(number of cells) matrix

Usage

rp(n, flist)

Arguments

n	number of probability vectors to generate
flist	list with the prior distributions for each cell

Details

The prior distributions are specified as named lists where the first component of each list must be the name of distribution ('unif', 'triang', 'degen', 'gamma') and the rest components must be named according to the name of the parameters of the random generator of the corresponding distribution according to:

• unif: xMin, xMax for the minimum, maximum of the sampled interval.

• degen: x0 for the degenerate value of the random variable.

• triang: xMin, xMax, xMode for minimum, maximum and mode (see qtriang).

• gamma: scale and shape with the same meaning as in rgamma.

Value

Return a matrix with n rows and as many columns as cells taken from the length of flist. Each row is thus a probability vector

Examples

flist <- alphaPrior(c(10, 3, 4), c('unif', 'triang', 'gamma'),
       list(list(cv = 0.1), list(cv = 0.05), list(cv = 0.15)))
rp(10, flist)

MobilePhoneESSnetBigData/pestim documentation built on May 31, 2019, 2:44 p.m.