unm_summary {unmconf}

Generate synthetic data

Description

unm_summary() produces result summaries of the results from the model fitting function, unm_glm(). The table of results are summarized from the MCMC draws of the posterior distribution.

Usage

unm_summary(mod, data, quantiles = c(0.025, 0.975))

unm_backfill(data, mod)

unm_dic(mod)

Arguments

mod

Output from unm_glm().

data

The data mod was generated with.

quantiles

A numeric vector of quantiles.

Value

A tibble

Examples

# ~~ One Unmeasured Confounder Examples (II-Stage Model) ~~

# normal response, normal confounder model with internally validated data
(df <- runm(20, response = "norm"))

(unm_mod <- unm_glm(
  y ~ x + z1 + z2 + z3 + u1, family1 = gaussian(),
  u1 ~ x + z1 + z2 + z3,     family2 = gaussian(),
  data = df
))

glm(y ~ x + z1 + z2 + z3, data = df)

coef(unm_mod)
jags_code(unm_mod)
unm_summary(unm_mod)
unm_summary(unm_mod, df) # true values known df

# impute missing values with model
unm_backfill(df, unm_mod)