Display smooth `s`

and `t2`

terms of models
fitted with brms.

```
# S3 method for brmsfit
conditional_smooths(
x,
smooths = NULL,
int_conditions = NULL,
prob = 0.95,
spaghetti = FALSE,
resolution = 100,
too_far = 0,
ndraws = NULL,
draw_ids = NULL,
nsamples = NULL,
subset = NULL,
probs = NULL,
...
)
conditional_smooths(x, ...)
```

- x
An object of class

`brmsfit`

.- smooths
Optional character vector of smooth terms to display. If

`NULL`

(the default) all smooth terms are shown.- int_conditions
An optional named

`list`

whose elements are vectors of values of the variables specified in`effects`

. At these values, predictions are evaluated. The names of`int_conditions`

have to match the variable names exactly. Additionally, the elements of the vectors may be named themselves, in which case their names appear as labels for the conditions in the plots. Instead of vectors, functions returning vectors may be passed and are applied on the original values of the corresponding variable. If`NULL`

(the default), predictions are evaluated at the \(mean\) and at \(mean +/- sd\) for numeric predictors and at all categories for factor-like predictors.- prob
A value between 0 and 1 indicating the desired probability to be covered by the uncertainty intervals. The default is 0.95.

- spaghetti
Logical. Indicates if predictions should be visualized via spaghetti plots. Only applied for numeric predictors. If

`TRUE`

, it is recommended to set argument`ndraws`

to a relatively small value (e.g.,`100`

) in order to reduce computation time.- resolution
Number of support points used to generate the plots. Higher resolution leads to smoother plots. Defaults to

`100`

. If`surface`

is`TRUE`

, this implies`10000`

support points for interaction terms, so it might be necessary to reduce`resolution`

when only few RAM is available.- too_far
Positive number. For surface plots only: Grid points that are too far away from the actual data points can be excluded from the plot.

`too_far`

determines what is too far. The grid is scaled into the unit square and then grid points more than`too_far`

from the predictor variables are excluded. By default, all grid points are used. Ignored for non-surface plots.- ndraws
Positive integer indicating how many posterior draws should be used. If

`NULL`

(the default) all draws are used. Ignored if`draw_ids`

is not`NULL`

.- draw_ids
An integer vector specifying the posterior draws to be used. If

`NULL`

(the default), all draws are used.- nsamples
Deprecated alias of

`ndraws`

.- subset
Deprecated alias of

`draw_ids`

.- probs
(Deprecated) The quantiles to be used in the computation of uncertainty intervals. Please use argument

`prob`

instead.- ...
Currently ignored.

For the `brmsfit`

method,
an object of class `brms_conditional_effects`

. See
`conditional_effects`

for
more details and documentation of the related plotting function.

Two-dimensional smooth terms will be visualized using either contour or raster plots.

```
if (FALSE) {
set.seed(0)
dat <- mgcv::gamSim(1, n = 200, scale = 2)
fit <- brm(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = dat)
# show all smooth terms
plot(conditional_smooths(fit), rug = TRUE, ask = FALSE)
# show only the smooth term s(x2)
plot(conditional_smooths(fit, smooths = "s(x2)"), ask = FALSE)
# fit and plot a two-dimensional smooth term
fit2 <- brm(y ~ t2(x0, x2), data = dat)
ms <- conditional_smooths(fit2)
plot(ms, stype = "contour")
plot(ms, stype = "raster")
}
```