f.start.lm.con: Fit linear model for continuous response
In alfcrisci/bmdModeling: Benchmark dose modeling
Description
Usage
Arguments
Value
Description
Fit linear model for continuous response
Usage
1
f.start.lm.con(xtmp, ytmp, model.ans, dtype, track = FALSE)
Arguments
xtmp
numeric vector, values for the independent variable
ytmp
numeric vector, values for the dependent variable
model.ans
integer, indicates which model will be fitted
dtype
integer, indicates the type of response that is used
track
logical, if TRUE (FALSE by default) print the name of the function which is currently being run
Value
data frame with intercept and slope of the fitted model, the variable
increase is 1 if the slope is positive and -1 otherwise
alfcrisci/bmdModeling documentation built on May 28, 2019, 12:32 a.m.
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Description Usage Arguments Value
Description
Fit linear model for continuous response
Usage
1 | f.start.lm.con(xtmp, ytmp, model.ans, dtype, track = FALSE)
|
Arguments
xtmp |
numeric vector, values for the independent variable |
ytmp |
numeric vector, values for the dependent variable |
model.ans |
integer, indicates which model will be fitted |
dtype |
integer, indicates the type of response that is used |
track |
logical, if TRUE (FALSE by default) print the name of the function which is currently being run |
Value
data frame with intercept and slope of the fitted model, the variable increase is 1 if the slope is positive and -1 otherwise
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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