mplm: Multivariate Piecewise linear model / piecewise regression

In scan: Single-Case Data Analyses for Single and Multiple Baseline Designs

Description

This function is in an experimental status. The mplm function computes a multivariate piecewise regression model.

Usage

mplm(
  data,
  dvar,
  mvar,
  pvar,
  model = "B&L-B",
  trend = TRUE,
  level = TRUE,
  slope = TRUE,
  formula = NULL,
  update = NULL,
  na.action = na.omit,
  ...
)

Arguments

data	A single-case data frame. See scdf to learn about this format.
dvar	Character string with the name of the dependent variable. Defaults to the attributes in the scdf file.
mvar	Character string with the name of the measurement time variable. Defaults to the attributes in the scdf file.
pvar	Character string with the name of the phase variable. Defaults to the attributes in the scdf file.
model	Model used for calculating the slope parameter (see Huitema & McKean, 2000). Default is model = "B&L-B". Possible values are: "B&L-B", "H-M", "Mohr#1", "Mohr#2", "JW", "JW2", and "Manly".
trend	A logical indicating if a trend parameters is included in the model.
level	A logical indicating if a level parameters is included in the model.
slope	A logical indicating if a slope parameters is included in the model.
formula	Defaults to the standard piecewise regression model. The parameter phase followed by the phase name (e.g., phaseB) indicates the level effect of the corresponding phase. The parameter 'inter' followed by the phase name (e.g., interB) adresses the slope effect based on the method provide in the model argument (e.g., "B&L-B"). The formula can be changed for example to include further variables into the regression model.
update	An easier way to change the regression formula (e.g., . ~ . + newvariable).
na.action	Defines how to deal with missing values
...	Further arguments passed to the lm function.

Value

model	Character string from function call (see Arguments above).
full.model	Full regression model list

Author(s)

Juergen Wilbert

See Also

Other regression functions: corrected_tauSC(), hplm(), plm()

Examples

##
mplm(exampleAB_add, dvar = c("wellbeing", "depression"))

scan documentation built on Feb. 12, 2021, 3:01 a.m.