Title: Functions for Generating PostgreSQL Statements/Scripts
Description: Create PostgreSQL statements/scripts from R, optionally executing the SQL statements.
Common SQL operations are included, although not every configurable option is available at this time.
SQL output is intended to be compliant with PostgreSQL syntax specifications. PostgreSQL documentation is available here

Depends: R (>= 3.5.0), data.table, toolbox

Title: An ensemble method for variable selection by carrying out Darwinian evolution in parallel universes
Description: PGA is an ensemble algorithm similar in spirit to AdaBoost and random forest. It can ``boost up'' the performance of ``bad'' selection criteria such as AIC and GCV. (Technometrics 48, 491-502; The American Statistician 62, 97-109, Sec 4.3)
Packaged: Tue Apr 22 18:26:48 2008; m3zhu

Description: This work is aimed at extending the Poisson-Gamma models towards a more general specification, where the linear predictor of covariates is replaced by an additive predictor of generic functions of these covariates. Just like the generalized additive models (GAM), the linear functions of covariates are a particular case of additive models and the natural cubic splines are used as smoothing functions. The semiparametric specification allows to enlarge the possibilities of application of these models. The semiparametric models are fitted by an iterative process that combines maximization of likelihood and backfitting algorithm.

Description: This work is aimed at extending a class of state space models for Poisson count data, so called Poisson-Gamma models, towards a semiparametric specification. Just like the generalized additive models (GAM), cubic splines are used for covariate smoothing. The semiparametric models are fitted by an iterative process that combines maximization of likelihood and backfitting algorithm.

Packaged: Thu Apr 15 22:57:26 2004; wjunger

Packaged: Thu Aug 26 16:35:12 2004; wjunger

Packaged: Mon Feb 14 00:48:16 2005; wjunger

Description: This work is an extension of the state space model for
Poisson count data, Poisson-Gamma model, towards a
semiparametric specification. Just like the generalized
additive models (GAM), cubic splines are used for covariate
smoothing. The semiparametric models are fitted by an iterative
process that combines maximization of likelihood and