# Sparse Learning with Convex and Concave Penalties

## Documentation for package ‘picasso’ version 1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

picasso-package | picasso: Sparse Learning with Convex and Non-Convex Penalties
coef.gaussian | Extract Coefficients from an Object with S3 Class '"gaussian"'
coef.logit | Extract Coefficients from an Object with S3 Class '"logit"'
coef.poisson | Extract Coefficients from an Object with S3 Class '"poisson"'
coef.sqrtlasso | Extract Coefficients from an Object with S3 Class '"sqrtlasso"'
eyedata | Bardet-Biedl Syndrome Gene Expression Data from Scheetz et al. (2006)
picasso | Fit Sparse Regression Models with Convex and Non-Convex Penalties
plot.gaussian | Plot Method for an Object with S3 Class '"gaussian"'
plot.logit | Plot Method for an Object with S3 Class '"logit"'
plot.poisson | Plot Method for an Object with S3 Class '"poisson"'
plot.sqrtlasso | Plot Method for an Object with S3 Class '"sqrtlasso"'
predict.gaussian | Prediction Method for an Object with S3 Class '"gaussian"'
predict.logit | Prediction Method for an Object with S3 Class '"logit"'
predict.poisson | Prediction Method for an Object with S3 Class '"poisson"'
predict.sqrtlasso | Prediction Method for an Object with S3 Class '"sqrtlasso"'
print.gaussian | Print Method for an Object with S3 Class '"gaussian"'
print.logit | Print Method for an Object with S3 Class '"logit"'
print.poisson | Print Method for an Object with S3 Class '"poisson"'
print.sqrtlasso | Print Method for an Object with S3 Class '"sqrtlasso"'