plot.ggmix_fit: Plot Method for 'ggmix_fit' object

In ggmix: Variable Selection in Linear Mixed Models for SNP Data

Description

Produces a coefficient profile plot of the coefficient paths for a fitted ggmix_fit object.

Usage

## S3 method for class 'ggmix_fit'
plot(x, ..., xvar = c("norm", "lambda", "dev"), label = FALSE, sign.lambda = 1)

plotCoef(
  beta,
  norm,
  lambda,
  df,
  dev,
  label = FALSE,
  xvar = c("norm", "lambda", "dev"),
  xlab = iname,
  ylab = "Coefficients",
  ...
)

Arguments

x	a ggmix_fit object
...	other graphical parameters passed to plot
xvar	What is on the X-axis. "norm" plots against the L1-norm of the coefficients, "lambda" against the log-lambda sequence, and "dev" against the percent deviance explained.
label	If TRUE, label the curves with variable sequence numbers.
sign.lambda	Either plot against log(lambda) (default) or its negative if sign.lambda=-1
beta	fixed effects estimates
norm	l1 norm of fixed effect estimates. if missing, (default) this function will calculate it
lambda	sequence of tuning parameters
df	number of non-zero fixed + random effects
dev	percent deviance
xlab	x-axis label
ylab	y-axis label

Details

A coefficient profile plot is produced

Value

A plot is produced and nothing is returned

ggmix documentation built on April 13, 2021, 9:06 a.m.