1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
|
#' @export
model_parameters.glmx <- function(model,
ci = 0.95,
bootstrap = FALSE,
iterations = 1000,
component = "all",
standardize = NULL,
exponentiate = FALSE,
p_adjust = NULL,
keep = NULL,
drop = NULL,
verbose = TRUE,
...) {
component <- insight::validate_argument(component, c("all", "conditional", "extra"))
if (component == "all") {
merge_by <- c("Parameter", "Component")
} else {
merge_by <- "Parameter"
}
out <- .model_parameters_generic(
model = model,
ci = ci,
component = component,
bootstrap = bootstrap,
iterations = iterations,
merge_by = merge_by,
standardize = standardize,
exponentiate = exponentiate,
keep_parameters = keep,
drop_parameters = drop,
p_adjust = p_adjust,
...
)
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
#' @export
standard_error.glmx <- function(model, ...) {
stats <- stats::coef(summary(model))
params <- insight::get_parameters(model)
.data_frame(
Parameter = params$Parameter,
SE = c(as.vector(stats$glm[, "Std. Error"]), as.vector(stats$extra[, "Std. Error"])),
Component = params$Component
)
}
#' @export
p_value.glmx <- function(model, ...) {
stats <- stats::coef(summary(model))
params <- insight::get_parameters(model)
.data_frame(
Parameter = params$Parameter,
p = c(as.vector(stats$glm[, "Pr(>|z|)"]), as.vector(stats$extra[, "Pr(>|z|)"])),
Component = params$Component
)
}
#' @export
simulate_model.glmx <- function(model, iterations = 1000, component = "all", ...) {
component <- insight::validate_argument(
component,
c("all", "conditional", "extra")
)
out <- .simulate_model(model, iterations, component = component, ...)
class(out) <- c("parameters_simulate_model", class(out))
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
|
