temporal_corr: Extract temporal correlation parameters from a fitted model

In tulpa: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models

Extract temporal correlation parameters from a fitted model

Description

Returns posterior summary for temporal hyperparameters (tau, rho for AR1, sigma/lengthscale for temporal GP).

Usage

temporal_corr(object, probs = c(0.025, 0.975))

Arguments

object	A tulpa_fit object fitted with a temporal component.
probs	Quantile probabilities (default 0.025, 0.975).

Value

A data.frame with rows for each temporal hyperparameter.

Examples

set.seed(127)
df <- data.frame(year = rep(1:20, each = 3), x = rnorm(60))
f <- as.numeric(arima.sim(list(ar = 0.7), 20, sd = 0.4))
df$count <- rpois(60, exp(1 + 0.3 * df$x + f[df$year]))
fit <- tulpa(count ~ x, data = df, family = "poisson",
             temporal = temporal_ar1("year"))
temporal_corr(fit)

tulpa documentation built on Oct. 19, 2026, 5:09 p.m.