models {RNAdecay} | R Documentation

## Example double exponential decay modeling results

### Description

Example results from maximum likelihood modeling of double exponential RNA decay of 118 genes.

### Usage

    models

### Format

a list of data frames, each with 240 rows (1/model) with 22 columns and 240 rows.

geneID

  gene identifier

mod

  model names as factors

alpha_XXX

  decay rate estimate of genotype XXX, in per time (min^-1)

beta_XXX

  decay of decay rate estimate of genotype XXX, in per time (min^-1)

sigma2

  variance estimate

logLik

  maxium log likelihood

nPar

  number of parameters in the given model

nStarts

  number of parameter starting value sets (of 50) that converged on a maximum likelihood peak

J

  number of parameter starting value sets that converged on the highest - within 1e-4 - maximum likelihood of all parameter starting value sets

range.LL

  range of maximum likelihoods values reached by algorithm convergence from all parameter starting value sets

nUnique.LL

  number of unique maximum likelihoods values reached by algorithm convergence from all parameter starting value sets

C.alpha

  sum of all coefficients of variation for each column of alpha estimates

C.beta

  sum of all coefficients of variation for each column of beta estimates

C.tot

  C.alpha+C.beta

AICc

  calculated from the single highest maximum likelihood of all parameter starting value sets

AICc_est

  calculated from the log likelihood value computed by using the mean of each parameter from all optimizations that converged on the highest maximum likelihood of all starting parameter value sets

### Source

Sorenson et al. (2017) Submitted; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE86361

[Package RNAdecay version 1.2.1 Index]