qnormRssa

qnormRssa is a function associated with the Rssa package for the R programming language. It provides normal-quantile computations within the context of robust subspace analysis (RSSA) workflows. The function is typically used to obtain critical values or thresholds related to the standard normal distribution when conducting RSSA-based inference, such as hypothesis testing or constructing confidence intervals for robust SSA components.

In practice, qnormRssa wraps the standard normal quantile logic and may incorporate RSSA-specific considerations, while preserving the familiar interface of the base qnorm function. It accepts the conventional arguments for a normal quantile function, such as p (probabilities), mean, sd (standard deviation), lower.tail, and log.p. Additional RSSA-specific options or method dispatch may be exposed via the dots argument to maintain compatibility with related RSSA routines.

Usage tends to be straightforward: users provide a probability value or vector p and optional parameters for the normal distribution, and the function returns the corresponding quantile values. For example, qnormRssa(0.975) would yield the standard normal critical value at the 97.5th percentile, while qnormRssa(0.5) returns the median (which is the mean for a symmetric normal distribution). When used within an RSSA analysis, the function helps translate probabilistic thresholds into values meaningful for robust component estimation and testing.

References and more detailed guidance can be found in the Rssa package documentation and vignettes on CRAN, which describe the package’s function set, usage patterns, and examples in robust SSA workflows.