construct transtion matrix from trajectory
msm.transitionMatrix(traj, lag, row.normalized = FALSE)
Arguments
- traj
- State trajectory, either encoded as vector or a filename.
- lag
- time lag to use for counting jumps: traj[i] -> traj[i+lag].
- row.normalized
- if TRUE, transition matrix will be row-normalized, encoding jumps by from(row) to(col). Else (default) matrix is column-normalized encoding jumps from(col) to(row).