
Extract Samples From a dynamitefit Object as a Data Table
Source: R/as_data_table.R
as.data.table.dynamitefit.RdProvides a data.table representation of the posterior samples of the model
parameters. See as.data.frame.dynamitefit() for details.
Usage
# S3 method for class 'dynamitefit'
as.data.table(
x,
keep.rownames = FALSE,
row.names = NULL,
optional = FALSE,
types = NULL,
parameters = NULL,
responses = NULL,
times = NULL,
groups = NULL,
summary = FALSE,
probs = c(0.05, 0.95),
include_fixed = TRUE,
...
)Arguments
- x
[
dynamitefit]
The model fit object.- keep.rownames
[
logical(1)]
Not used.- row.names
Ignored.
- optional
Ignored.
- types
[
character()]
Type(s) of the parameters for which the samples should be extracted. See details of possible values. Default is all values listed in details except spline coefficientsomega. This argument is mutually exclusive withparameters.- parameters
[
character()]
Parameter(s) for which the samples should be extracted. Possible options can be found with functionget_parameter_names(). Default is all parameters of specific type for all responses. This argument is mutually exclusive withtypes.- responses
[
character()]
Response(s) for which the samples should be extracted. Possible options are elements ofunique(x$priors$response), and the default is this entire vector. Ignored if the argumentparametersis supplied.omega_alpha, andomega_psi. See alsoget_parameter_types().- times
[
double()]
Time point(s) to keep. IfNULL(the default), all time points are kept.- groups
[
character()]
Group name(s) to keep. IfNULL(the default), all groups are kept.- summary
[
logical(1)]
IfTRUE, returns posterior mean, standard deviation, and posterior quantiles (as defined by theprobsargument) for all parameters. IfFALSE(default), returns the posterior samples instead.- probs
[
numeric()]
Quantiles of interest. Default isc(0.05, 0.95).- include_fixed
[
logical(1)]
IfTRUE(default), time-varying parameters for1:fixedtime points are included in the output asNAvalues. IfFALSE, fixed time points are omitted completely from the output.- ...
Ignored.
See also
Model outputs
as.data.frame.dynamitefit(),
as_draws_df.dynamitefit(),
coef.dynamitefit(),
confint.dynamitefit(),
dynamite(),
get_code(),
get_data(),
get_parameter_dims(),
get_parameter_names(),
get_parameter_types(),
ndraws.dynamitefit(),
nobs.dynamitefit()
Examples
data.table::setDTthreads(1) # For CRAN
as.data.table(
gaussian_example_fit,
responses = "y",
types = "beta",
summary = FALSE
)
#> parameter value time category group response type .draw .iteration
#> <char> <num> <int> <char> <int> <char> <char> <int> <int>
#> 1: beta_y_z 1.971788 NA <NA> NA y beta 1 1
#> 2: beta_y_z 1.956853 NA <NA> NA y beta 2 2
#> 3: beta_y_z 1.953325 NA <NA> NA y beta 3 3
#> 4: beta_y_z 1.962095 NA <NA> NA y beta 4 4
#> 5: beta_y_z 1.967552 NA <NA> NA y beta 5 5
#> ---
#> 196: beta_y_z 1.960357 NA <NA> NA y beta 196 96
#> 197: beta_y_z 1.967019 NA <NA> NA y beta 197 97
#> 198: beta_y_z 1.968887 NA <NA> NA y beta 198 98
#> 199: beta_y_z 1.960676 NA <NA> NA y beta 199 99
#> 200: beta_y_z 1.961960 NA <NA> NA y beta 200 100
#> .chain
#> <int>
#> 1: 1
#> 2: 1
#> 3: 1
#> 4: 1
#> 5: 1
#> ---
#> 196: 2
#> 197: 2
#> 198: 2
#> 199: 2
#> 200: 2