biqq_nr: BIQQ Model for Natural Resource Curse Example

In macartan/biqq: Package for BIQQ analysis as described in Jacobs, Humphreys (2016)

Description

Fit BIQQ Model for Natural Resource Curse Example

Usage

biqq_nr(fit = NULL, XYKK = c(61, 6, 64, 1, 1, 3),
  alpha_prior = rep(1, times = 4), pi_alpha = rep(1, times = 4),
  pi_beta = rep(1, times = 4), q1bd1_alpha = c(1, 1),
  q1bd1_beta = c(1, 1), q2bd1_alpha = c(1, 1), q2bd1_beta = c(1, 1),
  iter = 20000, chains = 4, warmup = 5000, seed = 1000,
  cores = 1)

Arguments

fit	Stan model fit object
XYKK	XYKK data for model fitting
alpha_prior	Numeric vector of length 4. Dirichlet distribution parameters for proportions of 4 possible types in the population. Defaults to c(1,1,1,1)
pi_alpha	Numeric vector of length 4. Alpha shape parameters for Beta distribution of probabilities of assignment for 4 possible types in the population. Defaults to c(1,1,1,1)
pi_beta	Numeric vector of length 4. Beta shape parameters for Beta distribution of probabilities of assignment for 4 possible types in the population. Defaults to c(1,1,1,1)
q1bd1_alpha	Numeric vector of length 2. Alpha shape parameters for Beta distribution of probabilities of observing first clue given that type is (b)eneficial or (d)estinied. Defaults to c(1,1)
q1bd1_beta	Numeric vector of length 2. Beta shape parameters for Beta distribution of probabilities of observing first clue given that type is (b)eneficial or (d)estinied. Defaults to c(1,1)
q2bd1_alpha	Numeric vector of length 2. Alpha shape parameters for Beta distribution of probabilities of observing second clue given that type is (b)eneficial or (d)estinied. Defaults to c(1,1)
q2bd1_beta	Numeric vector of length 2. Beta shape parameters for Beta distribution of probabilities of observing second clue given that type is (b)eneficial or (d)estinied. Defaults to c(1,1)
iter	Integer. Total number of iterations in each chain. Defaults to 20000,
chains	Integer. Number of MC chains. Defaults to 4
warmup	Integer. Number of warm-up iterations in each chain. Defaults to 5000
seed	Integer. Number for random number generation. Defaults to 1000
cores	Integer. Number of cores to use for parallel computation. Defaults to 1

Examples

## Not run: 

library(biqq)

# Create model fit for Natural Resource Curse example using init_biqq function
nr_fit <-
  init_biqq(model_code = stan_nr,
            data = data_nr_init)

# Fit the model for Natural Resource Curse example
biqq_nr(fit = nr_fit)

## End(Not run)

macartan/biqq documentation built on May 6, 2019, 6:03 p.m.