Sparse Learning with Convex and Concave Penalties


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Documentation for package ‘picasso’ version 2.0.1

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