View source: R/nm.process.coveffects.r
nm.process.coveffects | R Documentation |
A list of equations that define the covariate relationships is...
nm.process.coveffects(
eqs,
covs.info,
pars,
xpose.df,
omega,
Nboot = 10000,
pi.wid = 0.9
)
eqs |
A list of calls |
covs.info |
A list of covInfo objects to parameterize the subanalysis |
pars |
A list or single-row data.frame of the parameter estimates (THETA, OMEGA) |
xpose.df |
A dataframe containing post-hoc parameter values |
omega |
The random effect covariance matrix from which to simulate ETA values |
Nboot |
The number of bootstrap samples to run for each sample point |
pi.wid |
The width of prediction intervals (e.g. 0.9 is a 90% prediction interval) |
A list including lists of: covariate effect plots, table of covariate effects, table of post-hoc values – for each covariate effect; the call list; the list of covInfo
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