RprobitB_fit {RprobitB} | R Documentation |
Create object of class RprobitB_fit
Description
This function creates an object of class RprobitB_fit
.
Usage
RprobitB_fit(
data,
scale,
level,
normalization,
R,
B,
Q,
latent_classes,
prior,
gibbs_samples,
class_sequence,
comp_time
)
## S3 method for class 'RprobitB_fit'
summary(object, FUN = c(mean = mean, sd = stats::sd, `R^` = R_hat), ...)
Arguments
data |
An object of class RprobitB_data .
|
scale |
A character which determines the utility scale. It is of the form
<parameter> := <value> , where <parameter> is either the name of a fixed
effect or Sigma_<j>,<j> for the <j> th diagonal element of Sigma , and
<value> is the value of the fixed parameter.
|
normalization |
An object of class RprobitB_normalization .
|
R |
The number of iterations of the Gibbs sampler.
|
B |
The length of the burn-in period, i.e. a non-negative number of samples to
be discarded.
|
Q |
The thinning factor for the Gibbs samples, i.e. only every Q th
sample is kept.
|
latent_classes |
Either NULL (for no latent classes) or a list of parameters specifying
the number of latent classes and their updating scheme:
-
C : The fixed number (greater or equal 1) of latent classes,
which is set to 1 per default. If either weight_update = TRUE
or dp_update = TRUE (i.e. if classes are updated), C
equals the initial number of latent classes.
-
weight_update : A boolean, set to TRUE to weight-based
update the latent classes. See ... for details.
-
dp_update : A boolean, set to TRUE to update the latent
classes based on a Dirichlet process. See ... for details.
-
Cmax : The maximum number of latent classes.
-
buffer : The number of iterations to wait before a next
weight-based update of the latent classes.
-
epsmin : The threshold weight (between 0 and 1) for removing
a latent class in the weight-based updating scheme.
-
epsmax : The threshold weight (between 0 and 1) for splitting
a latent class in the weight-based updating scheme.
-
distmin : The (non-negative) threshold in class mean difference
for joining two latent classes in the weight-based updating scheme.
|
prior |
A named list of parameters for the prior distributions. See the documentation
of check_prior for details about which parameters can be
specified.
|
gibbs_samples |
An object of class RprobitB_gibbs_samples .
|
class_sequence |
The sequence of class numbers during Gibbs sampling of length R .
|
comp_time |
The time spent for Gibbs sampling.
|
... |
Currently not used.
|
Value
An object of class RprobitB_fit
.
[Package
RprobitB version 1.1.4
Index]