lpl: Log Partial Likelihood.
In penMSM: Estimating Regularized Multi-state Models Using L1 Penalties
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Calculates the log partial likelihood.
Usage
1
Arguments
beta
vector of regression coefficients.
X
design matrix.
risksetlist
list of length n with vectors as list elements,
with the i-th element being the riskset belonging to the i-th spell.
event
non-censoring event indicator.
Details
This function calculates the log partial likelihood of a Cox-type multistate model.
Value
The values of the spell-specific log partial likelihood contributions.
Author(s)
Holger Reulen
Examples
1
## Not run: lpl(beta, X, risksetlist, event)
penMSM documentation built on May 2, 2019, 11:06 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Calculates the log partial likelihood.
Usage
1 |
Arguments
beta |
vector of regression coefficients. |
X |
design matrix. |
risksetlist |
list of length |
event |
non-censoring event indicator. |
Details
This function calculates the log partial likelihood of a Cox-type multistate model.
Value
The values of the spell-specific log partial likelihood contributions.
Author(s)
Holger Reulen
Examples
1 | ## Not run: lpl(beta, X, risksetlist, event)
|
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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