modelSelection: Visualize criteria used for rate variability

In INSPEcT: Modeling RNA synthesis, processing and degradation with RNA-seq data

Description

Method to visualize the criteria used to assess variability of rates.

Usage

modelSelection(object)

## S4 method for signature 'INSPEcT'
modelSelection(object)

## S4 method for signature 'INSPEcT_model'
modelSelection(object)

Arguments

object

An object of class INSPEcT or INSPEcT_model

Value

• modelSelection 'aic' compares nested models closest to the one with lowest AIC, 'llr' compares all nested models, 'hib' is a mix between the previous two. (default 'aic')

• preferPValue a logical, if TRUE (default) limit the search for best models among the ones with succeded the goodness of fit test.

• padj a logical, if TRUE (default) correct the p-values for multiple testing

• goodness_of_fit a numeric, the threshold for the goodness-of-fit test (default = .1)

• variability a numeric, a vector with the thresholds for the variability test (one threshold for each rate, default = c('s'=05, 'p'=.05, 'd'=.05))

• limitModelComplexity a logical that limits the complexity of the function used to describe dynamics to the length of the time-course (default = FALSE)

Examples

nascentInspObj10 <- readRDS(system.file(package='INSPEcT', 'nascentInspObj10.rds'))
modelSelection(nascentInspObj10)

INSPEcT documentation built on Nov. 8, 2020, 6:49 p.m.