run_smc: A Function to run a particle filter
In andyhoegh/moveR: Agent-Based Models for Animal Movement

A Function to run a particle filter

1 2	run_smc(num_particles, data, mu_val, sigma_val, mu_theta_val, sigmasq_eta, sigmasq_eps)

`num_particles`	The number of particles for the particle filter for animal movement model
`data`	A data frame with num_times rows and 2 columns with location data
`mu_val`	Value for the mean step size
`sigma_val`	Value for the standard deviation of step size
`mu_theta_val`	Vector for 2-D Normal mean for projected Normal Distribution
`sigmasq_eta`	Value for eta
`sigmasq_eps`	Value for eps