fit_lm: available regression methods

In metabolomicsR: Tools for Metabolomics Data

available regression methods

Description

'fit_lm': linear regression model lm.

'fit_logistic': logistic regression model glm.

'fit_poisson': poisson regression model glm.

'fit_cox': proportional hazards regression model coxph.

'fit_lme': linear mixed-effects model lme.

'fit_glmer': logistic linear mixed-effects model glmer.

'fit_lmer': linear mixed-effects model lmer.

Usage

fit_lm(data = NULL, formula = NULL, keep = NULL)

fit_logistic(data = NULL, formula = NULL, keep = NULL)

fit_poisson(data = NULL, formula = NULL, keep = NULL)

fit_cox(data = NULL, formula = NULL, keep = NULL)

fit_lme(data = NULL, formula = NULL, keep = NULL, ...)

fit_glmer(data = NULL, formula = NULL, keep = NULL, ...)

fit_lmer(data = NULL, formula = NULL, keep = NULL, ...)

Arguments

data	A data.table with all variables to be fitted.
formula	A "formula" object to be fitted.
keep	Variables to keep regression results.
...	Further arguments passed to regression model.

Value

term estimate std.error statistic p.value n.

See Also

regression

metabolomicsR documentation built on April 29, 2022, 9:05 a.m.