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.
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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)
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