tram (version 1.2-2)

Lm: Normal Linear Model

Description

Normal linear model with benefits

Usage

Lm(formula, data, subset, weights, offset, cluster, na.action = na.omit, ...)

Value

An object of class Lm, with corresponding coef, vcov, logLik, estfun, summary, print, plot and predict methods.

Details

A normal linear model with simulaneous estimation of regression coefficients and scale parameter(s). This function also allows for stratum-specific intercepts and variances as well as censoring and truncation in the response.

Note that the scale of the parameters is different from what is reported by lm; the discrepancies are explained in the package vignette.

The model is defined with a negative shift term. Large values of the linear predictor correspond to large values of the conditional expectation response.

References

Torsten Hothorn, Lisa Moest, Peter Buehlmann (2018), Most Likely Transformations, Scandinavian Journal of Statistics, 45(1), 110--134, tools:::Rd_expr_doi("10.1111/sjos.12291").

Examples

  data("BostonHousing2", package = "mlbench")

  lm(cmedv ~ crim + zn + indus + chas + nox + rm + age + dis + 
             rad + tax + ptratio + b + lstat, data = BostonHousing2)

  Lm(cmedv ~ chas + crim + zn + indus + nox + 
             rm + age + dis + rad + tax + ptratio + b + lstat, 
             data = BostonHousing2)