source("helpers.R")
requiet("mgcv")
# Issue #558
dat <- gamSim(1, n = 4000, dist = "normal", scale = 2, verbose = FALSE)
mod <- gam(y ~ s(x0) + s(x1) + s(x2), data = dat)
tab <- modelsummary(
mod,
output = "dataframe",
coef_omit = "^s\\(",
statistic = c(
"std.error",
"statistic",
"p.value"),
shape = term ~ model + statistic,
gof_map = NA)
expect_equivalent(tab[1, ncol(tab)], "<0.001")
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