| sir_solver | R Documentation | 
C++ functionSovling the semi-sir estimating equations. This is an internal function and should not be called directly.
sir_solver(
  B,
  X,
  Y,
  bw,
  rho,
  eta,
  gamma,
  tau,
  epsilon,
  btol,
  ftol,
  gtol,
  maxitr,
  verbose,
  ncore
)
B | 
 A matrix of the parameters   | 
X | 
 A matrix of the parameters   | 
Y | 
 A matrix of the parameters   | 
bw | 
 Kernel bandwidth for X  | 
rho | 
 (don't change) Parameter for control the linear approximation in line search  | 
eta | 
 (don't change) Factor for decreasing the step size in the backtracking line search  | 
gamma | 
 (don't change) Parameter for updating C by Zhang and Hager (2004)  | 
tau | 
 (don't change) Step size for updating  | 
epsilon | 
 (don't change) Parameter for apprximating numerical gradient, if   | 
btol | 
 (don't change) The   | 
ftol | 
 (don't change) Functional value tolerance level  | 
gtol | 
 (don't change) Gradient tolerance level  | 
maxitr | 
 Maximum number of iterations  | 
verbose | 
 Should information be displayed  | 
Ma, Y., & Zhu, L. (2012). A semiparametric approach to dimension reduction. Journal of the American Statistical Association, 107(497), 168-179. DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2011.646925")}
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