mlts_plot {mlts} | R Documentation |
Plot results of mlts
Description
Plot results of mlts
Usage
mlts_plot(
fit,
type = c("fe", "re", "re.cor"),
bpe = c("median", "mean"),
what = c("all", "Fixed effect", "Random effect SD", "RE correlation",
"Outcome prediction", "RE prediction", "Item intercepts", "Loading",
"Measurement Error SD"),
sort_est = NULL,
xlab = NULL,
ylab = NULL,
facet_ncol = 1,
dot_size = 1,
dot_color = "black",
dot_shape = 1,
errorbar_color = "black",
errorbar_width = 0.3,
add_true = FALSE,
true_color = "red",
true_shape = 22,
true_size = 1,
hide_xaxis_text = TRUE,
par_labels = NULL,
labels_as_expressions = FALSE
)
Arguments
fit |
An object of class |
type |
Type of plot.
type = "fe" (Default)
Forest-plot of model coefficients.
type = "re"
Plot of individual (random) effects
type = "re.cor"
Combined plot depicting the distribution of individual parameter
estimates (posterior summary statistics as provided by |
bpe |
The Bayesian point estimate is, by default, the median of the
posterior distribution ( |
what |
Character. For |
sort_est |
Add parameter label for sorting of random effects. |
xlab |
Title for the x axis. |
ylab |
Title for the y axis. |
facet_ncol |
Number of facet columns (see |
dot_size |
numeric, size of the dots that indicate the point estimates. |
dot_color |
character. indicating the color of the point estimates. |
dot_shape |
numeric. shape of the dots that indicate the point estimates. |
errorbar_color |
character. Color of error bars. |
errorbar_width |
integer. Width of error bars. |
add_true |
logical. If model was fitted with simulated data using |
true_color |
character. Color of points depicting true population parameter used in the data generation. |
true_shape |
integer. Shape of points depicting true population parameter used in the data generation. |
true_size |
integer. Size of points depicting true population parameter used in the data generation. |
hide_xaxis_text |
logical. Hide x-axis text if set to |
par_labels |
character vector. User-specified labels for random effect parameters can be specified. |
labels_as_expressions |
logical. Should parameter names on plot labels be printed
as mathematical expressions? Defaults to |
Value
Returns a ggplot
-object .
Examples
# build simple vector-autoregressive mlts model for two time-series variables
var_model <- mlts_model(q = 2)
# fit model with (artificial) dataset ts_data
fit <- mlts_fit(
model = var_model,
data = ts_data,
ts = c("Y1", "Y2"), # time-series variables
id = "ID", # identifier variable
time = "time",
tinterval = 1 # interval for approximation of continuous-time dynamic model,
)
# inspect model summary
mlts_plot(fit, type = "fe", what = "Fixed effect")