pfr_plot.gam(
  x,
  residuals = FALSE,
  rug = TRUE,
  se = TRUE,
  pages = 0,
  select = NULL,
  scale = -1,
  n = 100,
  n2 = 40,
  n3 = 3,
  pers = FALSE,
  theta = 30,
  phi = 30,
  jit = FALSE,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  ylim = NULL,
  xlim = NULL,
  too.far = 0.1,
  all.terms = FALSE,
  shade = FALSE,
  shade.col = "gray80",
  shift = 0,
  trans = I,
  seWithMean = FALSE,
  unconditional = FALSE,
  by.resids = FALSE,
  scheme = 0,
  ...
)

## S3 method for class 'mgcv.smooth'
plot(
  x,
  P = NULL,
  data = NULL,
  label = "",
  se1.mult = 1,
  se2.mult = 2,
  partial.resids = FALSE,
  rug = TRUE,
  se = TRUE,
  scale = -1,
  n = 100,
  n2 = 40,
  pers = FALSE,
  theta = 30,
  phi = 30,
  jit = FALSE,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  ylim = NULL,
  xlim = NULL,
  too.far = 0.1,
  shade = FALSE,
  shade.col = "gray80",
  shift = 0,
  trans = I,
  by.resids = FALSE,
  scheme = 0,
  ...
)

## S3 method for class 'random.effect'
plot(
  x,
  P = NULL,
  data = NULL,
  label = "",
  se1.mult = 1,
  se2.mult = 2,
  partial.resids = FALSE,
  rug = TRUE,
  se = TRUE,
  scale = -1,
  n = 100,
  n2 = 40,
  n3 = 3,
  pers = FALSE,
  theta = 30,
  phi = 30,
  jit = FALSE,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  ylim = NULL,
  xlim = NULL,
  too.far = 0.1,
  shade = FALSE,
  shade.col = "gray80",
  shift = 0,
  trans = I,
  by.resids = FALSE,
  scheme = 0,
  ...
)