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Implements route_between() which generates synthetic migration routes conditioned on known locations at specific times using an HMM forward-filtering-backward-sampling approach. Also adds forward_filter() (R/forward_filter.R) as a shared internal helper, to be reused by predict_between() when implemented. Supports hard observations (x_coord/y_coord/date) and soft observation potentials (n_active x n_obs matrix). Includes statistical correctness tests verifying that sampled route marginals match predict() output.
Implements predict_between() which computes marginal probability distributions at each timestep conditioned on observed locations, using a HMM forward-backward algorithm. Also adds backward_filter() (R/backward_filter.R) as an internal helper, and a vignette (vignettes/route_between.Rmd) demonstrating both route_between() and predict_between(). Supports hard observations (x_coord/y_coord/date) and soft observation potentials (n_active x n_obs matrix). Returns log-likelihood of observations as attribute log_z. Documentation inherits shared parameter descriptions from route_between().
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