LPEadj

LPEadj adjusts variance estimation in the Linear Programming Estimation (LPE) algorithm to improve statistical modeling of high-throughput genomic and molecular biology data.

Key Features:

• Default maximum-variance behavior: By default, LPEadj disables the original LPE behavior that set all variances below the maximum in an ordered distribution to that maximum, preserving the natural variance distribution.
• Sample size–based variance adjustment: LPEadj replaces the fixed π/2 constant with a sample size–based variance adjustment (enabled by default) to scale variances according to sample size variability.

Scientific Applications:

• High-throughput genomic and molecular biology data analysis: Provides refined variance estimates to support more precise statistical inference and interpretation of high-throughput genomic and molecular biology datasets.

Methodology:

Disables the LPE maximum-variance override and implements a sample size–based variance adjustment in place of the fixed π/2 constant.