tests/testthat/_snaps/calculate.md

In greta: Simple and Scalable Statistical Modelling in R

stochastic calculate works with greta_mcmc_list objects

`nsim` must be set to sample <greta array>s not in MCMC samples
the greta arrays `y` have distributions and are not in the MCMC samples, so cannot be calculated from the samples alone.
Set `nsim` if you want to sample them conditionally on the MCMC samples

`nsim` was greater than the number of posterior samples in values, so posterior samples had to be drawn with replacement

calculate errors if the mcmc samples unrelated to target

the target <greta array>s do not appear to be connected to those in the <greta_mcmc_list> object

stochastic calculate works with mcmc samples & new stochastics

`nsim` must be set to sample <greta array>s not in MCMC samples
the target <greta array>s are related to new variables that are not in the MCMC samples, so cannot be calculated from the samples alone.
Set `nsim` if you want to sample them conditionally on the MCMC samples

calculate errors nicely if non-greta arrays are passed

`calculate()` arguments must be <greta_array>s
The following object passed to `calculate()` is not a <greta array>:
"x"
Perhaps you forgot to explicitly name other arguments?

`calculate()` arguments must be <greta_array>s
The following object passed to `calculate()` is not a <greta array>:
"list(x = c(2, 1))"
Perhaps you forgot to explicitly name other arguments?

calculate errors nicely if values for stochastics not passed

Please provide values for the following 1 <greta_array>:
`a`

calculate errors nicely if values have incorrect dimensions

a provided value has different number of elements than the <greta_array>

calculate errors nicely with invalid batch sizes

`trace_batch_size` must be a single numeric value greater than or equal to 1

`trace_batch_size` must be a single numeric value greater than or equal to 1

`trace_batch_size` must be a single numeric value greater than or equal to 1

calculate errors if distribution-free variables are not fixed

the target <greta_array>s are related to variables that do not have distributions so cannot be sampled

calculate errors if a distribution cannot be sampled from

sampling is not yet implemented for "hypergeometric" distributions

calculate errors nicely if nsim is invalid

nsim must be a positive integer
However the value provided was: 0

nsim must be a positive integer
However the value provided was: -1

nsim must be a positive integer
However the value provided was: NA

greta documentation built on May 29, 2024, 5:56 a.m.