The passage to spawner model, documented in vignette("passage_to_spawner_submodel", package = "SRJPEmodel"), estimates the relationship between upstream passage counts and spawner counts (either redd or holding) for several streams. When fit, the model produces an object P2S_model_fits that contains the parameter names, mean parameter estimate, confidence intervals, and diagnostics. Currently, this model is only fit for battle creek, clear creek, deer creek, and mill creek.

P2S_model_fits

Format

A tibble with 343 rows and 12 columns

  • par_names: Parameter name

  • mean: Mean of the posterior distribution for a parameter

  • se_mean: Monte Carlo standard error for summary of all chains merged. See details

  • sd: Standard deviation of the posterior distribution for a parameter

  • 2.5%: 2.5% quantile of posterior distribution for a parameter

  • 25%: 25% quantile of posterior distribution for a parameter

  • 50%: 50% quantile of posterior distribution for a parameter

  • 75%: 75% quantile of posterior distribution for a parameter

  • 97.5%: 97.5% quantile of posterior distribution for a parameter

  • n_eff: Effective sample size for a parameter

  • Rhat: Split Rhats for a parameter

  • stream: Stream name for the parameter estimate

  • year_index: Identifier for a parameter estimate (1:n, where n is the total number of years modeled) that allows us to join the observed year back to the data table

  • year: Year associated with the parameter estimates and observed data