posterior_predictive_log_lambda: Posterior predictive of Poisson log-normal mixed model

In ChristofSeiler/cytoeffect: Regression Models with Multivariate Outcomes for Mass Cytometry Experiments

Posterior predictive of Poisson log-normal mixed model

Description

Posterior predictive of Poisson log-normal mixed model

Usage

posterior_predictive_log_lambda(obj, k = 1, show_donors = TRUE)

Arguments

obj	Object of class cytoeffect_poisson computed using poisson_lognormal
k	Draw from HMC chain
show_donors	Include donor random effect

Value

tibble object

Examples

set.seed(1)
df = simulate_data(n_cells = 10)
str(df)
fit = poisson_lognormal(df,
                        protein_names = names(df)[3:ncol(df)],
                        condition = "condition",
                        group = "donor",
                        r_donor = 2,
                        warmup = 200, iter = 325,
                        num_chains = 1)
posterior_predictive_log_lambda(fit, k = 1)

ChristofSeiler/cytoeffect documentation built on Jan. 11, 2023, 1:05 p.m.