tests/testthat/_snaps/distributions.md

In greta: Simple and Scalable Statistical Modelling in R

uniform distribution errors informatively

`min` and `max` must be numeric vectors of length 1
They have class and length:
`min`: numeric, 1
`max`: logical, 1

`min` and `max` must be numeric vectors of length 1
They have class and length:
`min`: numeric, 1
`max`: function, 1

`min` and `max` must be numeric vectors of length 1
They have class and length:
`min`: integer, 3
`max`: numeric, 1

`min` and `max` must finite scalars
Their values are:
`min`: -Inf
`max`: Inf

`max` must be greater than `min`
Their values are:
`min`: 1
`max`: 1

poisson() and binomial() error informatively in glm

Wrong function name provided in another model
It looks like you're using greta's `poisson()` function in the family argument of another model.
Maybe you want to use `` family = stats::`poisson` ``,instead?

Wrong function name provided in another model
It looks like you're using greta's `binomial()` function in the family argument of another model.
Maybe you want to use `` family = stats::`binomial` ``,instead?

Wrong function name provided in another model
It looks like you're using greta's `poisson()` function in the family argument of another model.
Maybe you want to use `` family = stats::`poisson` ``,instead?

Wrong function name provided in another model
It looks like you're using greta's `poisson()` function in the family argument of another model.
Maybe you want to use `` family = stats::`poisson` ``,instead?

wishart distribution errors informatively

`Sigma` must be a square 2D greta array
However, `Sigma` has dimensions
"3x3x3"

`Sigma` must be a square 2D greta array
However, `Sigma` has dimensions
"3x2"

lkj_correlation distribution errors informatively

`eta` must be a positive scalar value, or a scalar <greta_array>

`eta` must be a positive scalar value, or a scalar <greta_array>

`eta` must be a scalar
However `eta` had dimensions: 2, 1

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

multivariate_normal distribution errors informatively

the dimension of this distribution must be at least 2, but was 1
multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

the dimension of this distribution must be at least 2, but was 1
multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

Dimensions of parameters not compatible with multivariate distribution parameters of multivariate distributions cannot have more than two dimensions
object `x` has dimensions: 3x3x3

Not 2D square greta array
x expected a 2D square greta array, but object `x` had dimension: 3x2

distribution dimensions do not match implied dimensions
The distribution dimension should be 3, but parameters implied dimensions: 3 vs 4
Multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

the dimension of this distribution must be at least 2, but was 1
multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

object 'n_realisations' not found

object 'n_realisations' not found

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

multinomial distribution errors informatively

the dimension of this distribution must be at least 2, but was 1
multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

object 'n_realisations' not found

object 'n_realisations' not found

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

categorical distribution errors informatively

the dimension of this distribution must be at least 2, but was 1
multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

object 'n_realisations' not found

object 'n_realisations' not found

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

dirichlet distribution errors informatively

the dimension of this distribution must be at least 2, but was 1
multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

object 'n_realisations' not found

object 'n_realisations' not found

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

dirichlet-multinomial distribution errors informatively

the dimension of this distribution must be at least 2, but was 1
multivariate distributions treat each row as a separate realisation - perhaps you need to transpose something?

object 'n_realisations' not found

object 'n_realisations' not found

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

`dimension` must be a positive scalar integer giving the dimension of the distribution
`dim(target)` returns:

greta documentation built on Sept. 8, 2022, 5:10 p.m.