estimate.ideology: Estimates ideology for a given Twitter user
In SMAPPNYU/smappR: Tools for analysis of Twitter data

Description Usage Arguments Author(s) Examples

estimate.ideology estimates ideology for a given user using the Metropolis algorithm developed in Barbera, 2013. It takes as argument of the function a list of user IDs indicating who a given user follows.

1 2	estimate.ideology(user, friends, verbose = TRUE, iters = 5000, n.warmup = 1000, thin = 20)

`user`	screen name of user for which ideology is to be estimated.
`friends`	vector of user IDs that the user for which ideology wants to be estimated follows
`verbose`	logical, default is `TRUE`, which generates some output to the R console with information about progress of the sampler.
`iters`	number of iterations of the metropolis algorithm. Default is 5000
`n.warmup`	warmup period for the sampler. Default is 1000 iterations.
`thin`	thinning of the sampler. Default is 20.

Pablo Barbera pablo.barbera@nyu.edu

## Not run: 
## download list of friends for a given user
 friends <- getFriends(screen_name = "p_barbera", oauth_folder="oauth")
## estimating ideology
 results <- estimate.ideology(friends)

## End(Not run)