Code
draws <- mcmc(m, chains = 1, n_samples = 2, warmup = 0, verbose = FALSE,
initial_values = initials(z = 1e+120))
Condition
Error in `self$check_valid_parameters()`:
! The log density could not be evaluated at these initial values
Try using these initials as the `values` argument in `calculate()` to see what values of subsequent <greta_array>s these initial values lead to.
Code
mcmc(m, chains = 1, n_samples = 1, warmup = 0, verbose = FALSE)
Condition
Error in `self$check_reasonable_starting_values()`:
! Could not find reasonable starting values after 20 attempts.
Please specify initial values manually via the `initial_values` argument
Code
draws <- mcmc(m, warmup = 10, n_samples = 10, verbose = FALSE, chains = 2,
initial_values = inits)
Condition
Error in `prep_initials()`:
! The number of provided initial values does not match chains
3 sets of initial values were provided, but there are 2 chains
Code
draws <- mcmc(m, warmup = 10, n_samples = 10, verbose = FALSE, chains = 2,
initial_values = inits)
Condition
Error in `FUN()`:
! The initial values provided have different dimensions than the named <greta_array>s
Code
draws <- mcmc(m, warmup = 10, n_samples = 10, chains = 2, initial_values = inits,
verbose = FALSE)
Message
Only one set of initial values was provided, and was used for all chains
Code
draws <- mock_mcmc(1010)
Message
sampling 1010/1010 | eta: 0s | <1% bad
Code
draws <- mock_mcmc(500)
Message
sampling 500/500 | eta: 0s | 2% bad
Code
draws <- mock_mcmc(10)
Message
sampling =========== 10/10 | eta: 0s | 100% bad
Code
rownames(summary(draws)$statistics)
Output
[1] "a" "b[1,1]" "b[2,1]" "b[3,1]"
Code
rownames(summary(c_draws)$statistics)
Output
[1] "c[1,1]" "c[2,1]" "c[3,1]"
Code
model(a, b)
Condition
Error in `model()`:
! `model()` arguments must be <greta_array>s
The following object passed to `model()` is not a <greta array>:
"a"
Code
initials(a = FALSE)
Condition
Error in `initials()`:
! initial values must be numeric
Code
initials(FALSE)
Condition
Error in `initials()`:
! All initial values must be named
Code
initials(a = 3)
Output
a greta initials object with values:
$a
[,1]
[1,] 3
Code
mcmc(m, initial_values = FALSE, verbose = FALSE)
Condition
Error in `prep_initials()`:
! `initial_values` must be an initials object created with `initials()`, or a simple list of initials objects
Code
mcmc(m, initial_values = list(FALSE), verbose = FALSE)
Condition
Error in `prep_initials()`:
! `initial_values` must be an initials object created with `initials()`, or a simple list of initials objects
Code
mcmc(m, chains = 1, initial_values = initials(g = 1), verbose = FALSE)
Condition
Error in `check_greta_arrays_associated_with_model()`:
! Some <greta_array>s passed to `initials()` are not associated with the model:
`g`
Code
mcmc(m, chains = 1, initial_values = initials(f = 1), verbose = FALSE)
Condition
Error in `check_nodes_all_variable()`:
! Initial values can only be set for variable <greta_array>s
Code
mcmc(m, chains = 1, initial_values = initials(z = 1), verbose = FALSE)
Condition
Error in `check_nodes_all_variable()`:
! Initial values can only be set for variable <greta_array>s
Code
mcmc(m, chains = 1, initial_values = initials(b = -1), verbose = FALSE)
Condition
Error in `unsupported_error()`:
! Some provided initial values are outside the range of values their variables can take
Code
mcmc(m, chains = 1, initial_values = initials(d = -1), verbose = FALSE)
Condition
Error in `unsupported_error()`:
! Some provided initial values are outside the range of values their variables can take
Code
mcmc(m, chains = 1, initial_values = initials(e = 2), verbose = FALSE)
Condition
Error in `unsupported_error()`:
! Some provided initial values are outside the range of values their variables can take
Code
hmc()
Output
hmc sampler object with parameters:
Lmin = 5, Lmax = 10, epsilon = 0.1, diag_sd = 1
Code
rwmh()
Output
rwmh sampler object with parameters:
proposal = normal, epsilon = 0.1, diag_sd = 1
Code
slice()
Output
slice sampler object with parameters:
max_doublings = 5
Code
hmc(Lmin = 1)
Output
hmc sampler object with parameters:
Lmin = 1, Lmax = 10, epsilon = 0.1, diag_sd = 1
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