add_Weibull_mle_robust: A Robust Algorithm to Compute The MLEs of the Weighted...
In tianqinglong/myRtoolbox: My Personal R Toolbox
Description
Usage
Arguments
Examples
Description
Compute the MLEs of censored Weibull data by reparameterization and using optim() function.
Usage
1
add_Weibull_mle_robust(censor_data, weight = "no")
Arguments
censor_data
The value of function simulate_weibull_data().
weight
Specify the way to put a weight on the data. "no": do not put the weight on the data.
Examples
1
2
censor_data <- simulate_weibull_data(1, 5, 0.2, 1, 1)
( censor_data_with_mle <- add_Weibull_mle_robust(censor_data) )
tianqinglong/myRtoolbox documentation built on May 26, 2019, 10:36 a.m.
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Description Usage Arguments Examples
Description
Compute the MLEs of censored Weibull data by reparameterization and using optim() function.
Usage
1 | add_Weibull_mle_robust(censor_data, weight = "no")
|
Arguments
censor_data |
The value of function |
weight |
Specify the way to put a weight on the data. "no": do not put the weight on the data. |
Examples
1 2 | censor_data <- simulate_weibull_data(1, 5, 0.2, 1, 1)
( censor_data_with_mle <- add_Weibull_mle_robust(censor_data) )
|
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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