Description Usage Arguments Details Value Author(s) See Also
This is an internal function of package MortalitySmooth
which
estimates coefficients and computes diagnostics for penalized
B-splines for a given smoothing parameter within the function
Mort1Dsmooth
.
1 2 3 | Mort1Dsmooth_estimate(x, y, offset, wei, psi2,
B, lambda, DtD, a.init,
MON, TOL1, MAX.IT)
|
x |
Vector for the abscissa of data. |
y |
Vector of counts response. |
offset |
Vector with an a priori known component (optional). |
wei |
An optional vector of weights to be used in the fitting process. |
psi2 |
Overdispersion parameter. |
B |
B-splines basis. |
lambda |
Smoothing parameter. |
DtD |
Inner product of the difference matrix. |
a.init |
Vector with the initial coefficients. |
MON |
Logical switch indicating if monitoring is required. |
TOL1 |
The tolerance level in the IWLS algorithm. |
MAX.IT |
The maximum number of iterations. |
Internal function used in Mort1Dsmooth
for estimating
coefficients and computing diagnostics.
A list with components:
a |
fitted coefficients. |
h |
diagonal of the hat-matrix. |
df |
effective dimension of used degree of freedom. |
aic |
Akaike's Information Criterion. |
bic |
Bayesian Information Criterion. |
dev |
Poisson deviance. |
tol |
tolerance level. |
BtWB |
inner product of basis and weights. |
P |
penalty matrix. |
Carlo G Camarda
Mort1Dsmooth_update
, Mort1Dsmooth
.
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