pspline_fitter  R Documentation 
pspline_fitter
appies the method of scoring
to a variety of response distributions and link functions within
for Pspline fitting within the GLM framework.
pspline_fitter(
y,
B,
family = "gaussian",
link = "identity",
P,
P_ridge = 0 * diag(ncol(B)),
wts = 0 * y + 1,
m_binomial = 0 * y + 1,
r_gamma = 0 * y + 1
)
y 
the glm response vector of length 
B 
The effective Pspline regressors, e.g. 
family 
the response distribution, e.g. 
link 
the link function, one of 
P 
Pspline ("half") penalty matrix for data augmentation, such that 
P_ridge 
ridge ("half") penalty for data augmentation, usually 
wts 
the weight vector of 
m_binomial 
a vector of binomial trials having 
r_gamma 
a vector of gamma shape parameters, when 
coef 
the estimated Pspline coefficient regressor, using the effective regressors. 
w 

f 
the 
eta 
the linear predictor from 
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