Sparse Learning with Convex and Concave Penalties

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Documentation for package ‘picasso’ version 1.5

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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"'