sleuth_wt: Wald test for a sleuth model
In pachterlab/zika: Tools for investigating RNA-Seq

Description Usage Arguments Value See Also Examples

This function computes the Wald test on one specific 'beta' coefficient on every transcript.

1	sleuth_wt(obj, which_beta, which_model = "full")

`obj`	a `sleuth` object
`which_beta`	a character string of denoting which grouping to test. For example, if you have a model fit to 'treatment,' with values of neg_ctl, pos_ctl, and drug, you would need to run `sleuth_wt` once each for pos_ctl and drug
`which_model`	a character string of length one denoting which model to use

an updated sleuth object

models to view which models have been fit and which coefficients can be tested, sleuth_results to get back a data.frame of the results

# Assume we have a sleuth object with a model fit to both genotype and drug,
models(so)
# formula:  ~genotype + drug
# coefficients:
#   (Intercept)
#   genotypeKO
#   drugDMSO
so <- sleuth_wt(so, 'genotypeKO')
so <- sleuth_wt(so, 'drugDMSO')