DerivCumulHazard | R Documentation |
Cumulative hazard (integral of hazard) and its first and second derivatives wrt regression parameters beta
DerivCumulHazard(
X_GL,
weights,
tm,
n_legendre,
n,
p,
beta,
expected,
type,
is_pwcst,
pwcst_weights
)
X_GL |
list of matrices ( |
weights |
vector of weights for Gauss-Legendre integration on [-1;1] |
tm |
vector of midpoints times for Gauss-Legendre integration; tm = 0.5*(t1 - t0) |
n_legendre |
number of nodes for Gauss-Legendre quadrature |
n |
number of individuals in the dataset |
p |
number of regression parameters |
beta |
vector of estimated regression parameters |
expected |
vector of expected hazard rates |
type |
"net", "overall" or "mult" |
is_pwcst |
True if there is a piecewise constant baseline specified. False otherwise |
pwcst_weights |
if is.pwcst is TRUE, matrix of weights giving the time contribution of each individual on each sub-interval. Otherwise NULL |
List of objects with the following items:
integral |
cumulative hazard (integral of hazard) |
f.first |
first derivative of cumulative hazard wrt beta |
f.second |
second derivative of cumulative hazard wrt beta |
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