least_squares_regression: Function to apply linear regression techniques to...
In skgrange/enlightenr: Convenient and robust functions for fancy statistical techniques
View source: R/regression_functions.R
Description
y is a function of x or y = y(x).
Usage
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least_squares_regression(df, y, x, zero_intercept = FALSE, method = "qr",
weights = NULL, round = 6, plot = TRUE)
simple_linear_regression(df, y, x, zero_intercept = FALSE, method = "qr",
weights = NULL, round = 6, plot = TRUE)
robust_linear_regression(df, y, x, zero_intercept = FALSE, method = "MM",
weights = NULL, round = 6, plot = TRUE)
quantile_regression(df, y, x, zero_intercept = FALSE, weights = NULL,
tau = 0.5, method = "br", round = 6, plot = TRUE)
Author(s)
Stuart K. Grange
skgrange/enlightenr documentation built on May 30, 2019, 1:03 a.m.
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/regression_functions.R
Description
y is a function of x or y = y(x).
Usage
1 2 3 4 5 6 7 8 9 10 11 | least_squares_regression(df, y, x, zero_intercept = FALSE, method = "qr",
weights = NULL, round = 6, plot = TRUE)
simple_linear_regression(df, y, x, zero_intercept = FALSE, method = "qr",
weights = NULL, round = 6, plot = TRUE)
robust_linear_regression(df, y, x, zero_intercept = FALSE, method = "MM",
weights = NULL, round = 6, plot = TRUE)
quantile_regression(df, y, x, zero_intercept = FALSE, weights = NULL,
tau = 0.5, method = "br", round = 6, plot = TRUE)
|
Author(s)
Stuart K. Grange
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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