Description Usage Arguments Value Examples
View source: R/stitching_mixture_method.R
SGLR_CI_additive is used to compute R functions which compute bounds of GLR-like, stitching and discrete mixture confidence sequences for additive sub-psi class designed to a finite target time interval.
1 2 3 4 5 6 7 8 9 10  | 
alpha | 
 An upper bound on the boundary crossing probability (positive numeric in   | 
nmax | 
 Upper bound of the target time interval. If both   | 
nmin | 
 Lower bound of the target time interval. (default = 1L)  | 
d | 
 Bregman divergence between the null and alternative spaces. Either   | 
m_upper | 
 Upper bound on the grid-search for m (default = 1e+3L).  | 
psi_star_inv | 
 R function of ψ_{+}^{*-1} (Default: √{2x}) .  | 
psi_star_derv | 
 R function of \nablaψ^* (Default: x).  | 
n_0 | 
 Lower bound of the sample size on which test statistics and CI will be computed (default = 1L).  | 
A list of R functions for GLR-like, stitching and discrete mixture bound which takes the sample size n as the input and return the distance from the sample mean to the upper bound of confidence interval at n. The list also contains related quantities to compute these bounds. See ADD_CITE for detailed explanations of these quantities.
R function for the GLR-like bound.
R function for the stitching bound.
R function for the discrete mixture bound.
R function for the log of the underlying log super-martingale.
The constant bouandry value.
The eta value used to construct underlying martingales
The number of LR-like martingales used to construct bounds for n ≥q n_{\min} part.
1 2  | SGLR_CI_additive(0.025, 1e+5)
SGLR_CI_additive(0.025, 1e+6, 1e+2)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.