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lame (version 1.3.4)

snap_rank_summary: Summarize posterior rank uncertainty for snap years

Description

Ranks year-level snap indices within each retained draw, with rank 1 assigned to the highest snap index.

Usage

snap_rank_summary(fit, actors = NULL, years = NULL, side = c("u", "v"))

Value

A data frame with year-level index means and rank probabilities.

Arguments

fit

a lame fit with snap-shift MCMC output, or a lame_snap_als fit. MCMC fits should be run with retained snap draws for posterior uncertainty; ALS fits contribute their snap_prob scores as one score row.

actors

optional actor names or indices. Default uses every actor on the selected side.

years

optional year/period names or indices. Default uses every period.

side

"u" for sender/row-side snap indicators or "v" for receiver/column-side indicators.