init_bam_thin {countSTAR} | R Documentation |
Initialize the parameters for an additive model
Description
Initialize the parameters for an additive model, which may contain both linear and nonlinear predictors. The nonlinear terms are modeled using low-rank thin plate splines.
Usage
init_bam_thin(y, X_lin, X_nonlin, B_all = NULL)
Arguments
y |
|
X_lin |
|
X_nonlin |
|
B_all |
optional |
Value
a named list params
containing
-
mu
: vector of conditional means (fitted values) -
sigma
: the conditional standard deviation -
coefficients
: a named list of parameters that determinemu
Note
The parameters in coefficients
are:
-
beta_lin
: thep x 1
linear coefficients, including the linear terms fromX_nonlin
-
f_j
: then x pNL
matrix of fitted values for each nonlinear function -
theta_j
: thepNL
-dimensional of nonlinear basis coefficients -
sigma_beta
:p x 1
vector of linear regression coefficient standard deviations -
sigma_theta_j
:pNL x 1
vector of nonlinear coefficient standard deviations