md_mle_exp_series_C1_C2_C3: Maximum likelihood estimator for exponential series in which...
In queelius/masked.data: Estimating Reliability of Components in Series from Masked Data with Relaxed Candidate Set Models
md_mle_exp_series_C1_C2_C3 R Documentation
Maximum likelihood estimator for exponential series
in which each component (or competing risk) is
parameterized by a single rate parameter.
Description
The sample (at least approximately) satisfy
competing risks conditions C1, C2, and C3 and
is failure time data may be right censored.
Usage
md_mle_exp_series_C1_C2_C3(md, theta0, control = list(), ...)
Arguments
md
right-censored masked data
theta0
initial value for the MLE
control
list of control parameters
...
pass additional arguments to control
Value
MLE of type md_mle_exp_series_C1_C2_C3
queelius/masked.data documentation built on Jan. 28, 2025, 4:23 a.m.
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| md_mle_exp_series_C1_C2_C3 | R Documentation |
Maximum likelihood estimator for exponential series in which each component (or competing risk) is parameterized by a single rate parameter.
Description
The sample (at least approximately) satisfy competing risks conditions C1, C2, and C3 and is failure time data may be right censored.
Usage
md_mle_exp_series_C1_C2_C3(md, theta0, control = list(), ...)
Arguments
md |
right-censored masked data |
theta0 |
initial value for the MLE |
control |
list of control parameters |
... |
pass additional arguments to |
Value
MLE of type md_mle_exp_series_C1_C2_C3
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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