Fit optional negative-binomial transition-count sensitivity models
Source:R/fit_gazepoint_transition_count_nb_sensitivity.R
fit_gazepoint_transition_count_nb_sensitivity.RdFit an optional negative-binomial sensitivity model for AOI/state transition
counts using glmmTMB when it is installed. This helper is intended as a
publication sensitivity branch for overdispersed transition-count outcomes.
Usage
fit_gazepoint_transition_count_nb_sensitivity(
data,
count_col = NULL,
from_col = NULL,
to_col = NULL,
condition_cols = NULL,
random_effect_cols = NULL,
exposure_col = NULL,
offset_col = NULL,
formula = NULL,
family = c("nbinom2", "nbinom1"),
zero_inflation = FALSE,
ziformula = NULL,
dispformula = NULL,
control = NULL,
name = "gazepoint_transition_count_nb_sensitivity"
)Arguments
- data
A data frame containing transition-count rows.
- count_col
Transition-count outcome column. If
NULL, common count columns are detected automatically.- from_col
Transition origin column. If
NULL, common origin columns are detected automatically.- to_col
Transition destination column. If
NULL, common destination columns are detected automatically.- condition_cols
Optional fixed-effect condition columns.
- random_effect_cols
Optional random-intercept grouping columns.
- exposure_col
Optional positive exposure column. If supplied, the model includes
offset(log(exposure_col)).- offset_col
Optional numeric offset column. Use either
exposure_coloroffset_col, not both.- formula
Optional model formula. If
NULL, a formula is constructed from transition origin, destination, condition columns, optional offset, and random intercepts.- family
Negative-binomial family. Options are
"nbinom2"and"nbinom1".- zero_inflation
Logical. If
TRUE, useziformula = ~1unlessziformulais supplied.- ziformula
Optional zero-inflation formula passed to
glmmTMB.- dispformula
Optional dispersion formula passed to
glmmTMB.- control
Optional control object passed to
glmmTMB.- name
Character label stored in the returned object.