fit_lm: available regression methods

In XikunHan/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

XikunHan/metabolomicsR documentation built on Oct. 14, 2024, 3:18 p.m.