bootlmSolve: Bootstrap minimum norm regression
In abnormally-distributed/Bayezilla: Bayesian Models With JAGS and Several Utilities for Data Exploration and Model Evaluation.
Description
Usage
Arguments
Value
Examples
Description
Bootstrap variant of lmSolve. Returns samples of coefficients only.
Solves with moore-penrose pseudoinversion which is very fast and tolerant
to non-positive definite model matrices.
Usage
1
bootlmSolve(formula, data, iter = 4000, tolerance = 0.001)
Arguments
formula
formula
data
data frame
iter
number of iterations. defaults to 4000.
tolerance
tolerance
Value
a vector
Examples
1
abnormally-distributed/Bayezilla documentation built on Oct. 31, 2019, 1:57 a.m.
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Description Usage Arguments Value Examples
Description
Bootstrap variant of lmSolve. Returns samples of coefficients only. Solves with moore-penrose pseudoinversion which is very fast and tolerant to non-positive definite model matrices.
Usage
1 | bootlmSolve(formula, data, iter = 4000, tolerance = 0.001)
|
Arguments
formula |
formula |
data |
data frame |
iter |
number of iterations. defaults to 4000. |
tolerance |
tolerance |
Value
a vector
Examples
1 |
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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