Fit the baseline count data into a constant negative binomial model.

Fit the baseline count data into a constant negative binomial model.

fit_single_gene_const(
  count.arr,
  disp.var,
  MAXIT = 1000,
  RELTOL = 10^(-8),
  trace = 10
)

Arguments

count.arr,

a data frame returned from transform_single_gene_df, only with the baseline time.

disp.var,

the dispersion value estimated from DESeq2.

MAXIT,

RELTOL,

10*-8

trace,

10

Value

a list contain all the estimated value from NB model.