Access information from model objects
Retrieve information from model objects.
model_info(x, ...) ## Default S3 method: model_info(x, verbose = TRUE, ...)
x |
A fitted model. |
... |
Currently not used. |
verbose |
Toggle off warnings. |
model_info() returns a list with information about the
model for many different model objects. Following information
is returned, where all values starting with is_ are logicals.
is_binomial: family is binomial (but not negative binomial)
is_bernoulli: special case of binomial models: family is Bernoulli
is_poisson: family is poisson
is_negbin: family is negative binomial
is_count: model is a count model (i.e. family is either poisson or negative binomial)
is_beta: family is beta
is_betabinomial: family is beta-binomial
is_dirichlet: family is dirichlet
is_exponential: family is exponential (e.g. Gamma or Weibull)
is_logit: model has logit link
is_probit: model has probit link
is_linear: family is gaussian
is_tweedie: family is tweedie
is_ordinal: family is ordinal or cumulative link
is_cumulative: family is ordinal or cumulative link
is_multinomial: family is multinomial or categorical link
is_categorical: family is categorical link
is_censored: model is a censored model (has a censored response, including survival models)
is_truncated: model is a truncated model (has a truncated response)
is_survival: model is a survival model
is_zero_inflated: model has zero-inflation component
is_hurdle: model has zero-inflation component and is a hurdle-model (truncated family distribution)
is_dispersion: model has dispersion component
is_mixed: model is a mixed effects model (with random effects)
is_multivariate: model is a multivariate response model (currently only works for brmsfit objects)
is_trial: model response contains additional information about the trials
is_bayesian: model is a Bayesian model
is_gam: model is a generalized additive model
is_anova: model is an Anova object
is_ttest: model is an an object of class htest, returned by t.test()
is_correlation: model is an an object of class htest, returned by cor.test()
is_ranktest: model is an an object of class htest, returned by cor.test() (if Spearman's rank correlation), wilcox.text() or kruskal.test().
is_levenetest: model is an an object of class anova, returned by car::leveneTest().
is_onewaytest: model is an an object of class htest, returned by oneway.test()
is_proptest: model is an an object of class htest, returned by prop.test()
is_binomtest: model is an an object of class htest, returned by binom.test()
is_chi2test: model is an an object of class htest, returned by chisq.test()
is_xtab: model is an an object of class htest or BFBayesFactor, and test-statistic stems from a contingency table (i.e. chisq.test() or BayesFactor::contingencyTableBF()).
link_function: the link-function
family: the family-object
n_obs: number of observations
model_terms: a list with all model terms, including terms such as random effects or from zero-inflated model parts.
A list with information about the model, like family, link-function etc. (see 'Details').
ldose <- rep(0:5, 2)
numdead <- c(1, 4, 9, 13, 18, 20, 0, 2, 6, 10, 12, 16)
sex <- factor(rep(c("M", "F"), c(6, 6)))
SF <- cbind(numdead, numalive = 20 - numdead)
dat <- data.frame(ldose, sex, SF, stringsAsFactors = FALSE)
m <- glm(SF ~ sex * ldose, family = binomial)
model_info(m)
## Not run:
library(glmmTMB)
data("Salamanders")
m <- glmmTMB(
count ~ spp + cover + mined + (1 | site),
ziformula = ~ spp + mined,
dispformula = ~DOY,
data = Salamanders,
family = nbinom2
)
## End(Not run)
model_info(m)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.