ConfidenceInterval
Object containing confidence interval results
Description
The ConfidenceInterval
object is a superclass of two
confidence interval objects: PredictionConfidenceInterval
and ParameterConfidenceInterval
. These objects contain confidence interval
results computed with sbiopredictionci
and sbioparameterci
, respectively.
Properties
Type
— Confidence interval type
'gaussian'
| 'profilelikelihood'
| 'bootstrap'
This property is read-only.
Confidence interval type, specified as 'gaussian'
,
'profileLikelihood'
(for
ParameterConfidenceInterval
only), or
'bootstrap'
Example: 'bootstrap'
GroupNames
— Original group names from data used for fitting
cell array of character vectors
This property is read-only.
Original group names from the data used for fitting the model, specified as a cell array of character vectors. Each cell contains the name of a group.
Example: {'1'}{'2'}{'3'}
Alpha
— Confidence level
positive scalar
This property is read-only.
Confidence level, (1-Alpha) * 100%
, specified as a
positive scalar between 0 and 1.
Example: 0.01
Results
— Confidence interval data
table
This property is read-only.
Confidence interval data, specified as a table.
ExitFlags
— Exit flags returned during calculation of bootstrap
confidence intervals
vector
This property is read-only.
Exit flags returned during the calculation of bootstrap
confidence intervals only, specified as a vector of integers. Each integer
is an exit flag returned by the estimation function (except
nlinfit
) used to fit parameters during
bootstrapping. The same estimation function used in the original fit is used
for bootstrapping.
Each flag indicates the success or failure status of the fitting performed to create a bootstrap sample. Refer to the reference page of the corresponding estimation function for the meaning of the exit flag.
If the estimation function does not return an exit flag,
ExitFlags
is set to []
. For the
gaussian
and profileLikelihood
confidence intervals, ExitFlags
is not supported and is
always set to []
.
Version History
Introduced in R2017b
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