Description Usage Arguments Value Examples
View source: R/sclr_ideal_data.R
Allows variation of all parameters and the creation of an arbitrary number of covariates.
1 2 3 4 5 6 7 8 9 10 11 |
n |
Number of observations. |
theta |
Baseline risk parameter on the logit scale. |
beta_0 |
Intercept of the linear part. |
covariate_list |
A list in the form of |
outcome_name |
Name to give to the outcome |
seed |
Seed to set. If |
attach_true_vals, attach_seed |
Whether to attach additional attributes. |
A tibble
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # One titre
one_titre <- sclr_ideal_data(
covariate_list = list(
logHI = list(gen_fun = function(n) rnorm(n, 2, 2), true_par = 2)
)
)
sclr(status ~ logHI, one_titre) # Verify
# Two titres
two_titre <- sclr_ideal_data(
covariate_list = list(
logHI = list(gen_fun = function(n) rnorm(n, 2, 2), true_par = 2),
logNI = list(gen_fun = function(n) rnorm(n, 2, 2), true_par = 1)
)
)
sclr(status ~ logHI + logNI, two_titre) # Verify
|
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