Create prior definitions for classes of parameters, or specific parameters.

## Usage

```
measrprior(
prior,
class = c("intercept", "maineffect", "interaction", "slip", "guess"),
coef = NA,
lb = NA,
ub = NA
)
prior(prior, ...)
prior_(prior, ...)
prior_string(prior, ...)
```

## Arguments

- prior
A character string defining a distribution in

**Stan**language. A list of all distributions supported by**Stan**can be found in*Stan Language Functions Reference*at https://mc-stan.org/users/documentation/.- class
The parameter class. Defaults to

`"intercept"`

. Must be one of`"intercept"`

,`"maineffect"`

,`"interaction"`

for the LCDM, or one of`"slip"`

or`"guess"`

for DINA or DINO models.- coef
Name of a specific parameter within the defined class. If not defined, the prior is applied to all parameters within the class.

- lb
Lower bound for parameter restriction. Defaults to no restriction.

- ub
Upper bound for parameter restriction. Defaults to no restriction.

- ...
Additional arguments passed to

`measrprior()`

.

## Value

A tibble of class `measrprior`

.

## Functions

`prior()`

: Alias of`measrprior()`

which allows arguments to be specified as expressions without quotation marks.`prior_()`

: Alias of`measrprior()`

which allows arguments to be specified as one-sided formulas or wrapped in`base::quote()`

.`prior_string()`

: Alias of`measrprior()`

which allows arguments to be specified as character strings.

## Examples

```
# Use alias functions to define priors without quotes, as formulas,
# or as character strings.
(prior1 <- prior(lognormal(0, 1), class = maineffect))
#> # A tibble: 1 × 3
#> class coef prior_def
#> <chr> <chr> <chr>
#> 1 maineffect NA lognormal(0, 1)
(prior2 <- prior_(~lognormal(0, 1), class = ~maineffect))
#> # A tibble: 1 × 3
#> class coef prior_def
#> <chr> <chr> <chr>
#> 1 maineffect NA lognormal(0, 1)
(prior3 <- prior_string("lognormal(0, 1)", class = "maineffect"))
#> # A tibble: 1 × 3
#> class coef prior_def
#> <chr> <chr> <chr>
#> 1 maineffect NA lognormal(0, 1)
identical(prior1, prior2)
#> [1] TRUE
identical(prior1, prior3)
#> [1] TRUE
identical(prior2, prior3)
#> [1] TRUE
```