@@ -37,23 +37,19 @@ mod <- compute_sequentially(
3737 smc_options = set_smc_options(n_particles = 100 , n_particle_filters = 1 )
3838)
3939
40- # Show model summary
41- summary(mod )
42- # > Length Class Mode
43- # > alpha 100 -none- numeric
44- # > rho 500 -none- numeric
45- # > tau 100 -none- numeric
46- # > cluster_probabilities 0 -none- numeric
47- # > ESS 100 -none- numeric
48- # > resampling 100 -none- numeric
49- # > n_particle_filters 100 -none- numeric
50- # > importance_weights 100 -none- numeric
51- # > log_marginal_likelihood 1 -none- numeric
52- # > alpha_traces 0 -none- list
53- # > rho_traces 0 -none- list
54- # > tau_traces 0 -none- list
55- # > log_importance_weights_traces 0 -none- list
56- # > latent_rankings_traces 0 -none- list
40+ # Show model info
41+ mod
42+ # > BayesMallowsSMC2 Model
43+ # > ======================
44+ # >
45+ # > Number of particles: 100
46+ # > Number of timepoints: 100
47+ # > Number of items: 5
48+ # > Number of clusters: 1
49+ # >
50+ # > Log marginal likelihood: -472.34
51+ # > Final ESS: 63.55
52+ # > Resampling events: 5/100
5753```
5854
5955### Posterior Summaries
@@ -65,18 +61,19 @@ We can visualize the posterior distributions of the parameters:
6561plot(mod , parameter = " alpha" )
6662```
6763
68- <img src =" man/figures/README-posterior-alpha-1.png " width =" 100% " />
64+ <img src =" man/figures/README-posterior-alpha-1.png " alt = " " width =" 100% " />
6965
7066``` r
7167# Posterior distribution of rho (ranking positions)
7268plot(mod , parameter = " rho" , items = c(1 , 2 , 3 ))
7369```
7470
75- <img src =" man/figures/README-posterior-rho-1.png " width =" 100% " />
71+ <img src =" man/figures/README-posterior-rho-1.png " alt = " " width =" 100% " />
7672
7773## References
7874
79- <div id =" refs " class =" references csl-bib-body hanging-indent " >
75+ <div id="refs" class="references csl-bib-body hanging-indent"
76+ entry-spacing="0">
8077
8178<div id =" ref-10.1214/25-BA1564 " class =" csl-entry " >
8279
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