The GAMPL Procedure

estimates the regression parameters of a generalized additive model that has fixed smoothing parameters by using penalized likelihood estimation

estimates the smoothing parameters of a generalized additive model by using either the performance iteration method or the outer iteration method

estimates the regression parameters of a generalized linear model by using maximum likelihood techniques

tests the total contribution of each spline term based on the Wald statistic

provides model-building syntax in the CLASS statement and effect-based parametric effects in the MODEL statement, which are used in other SAS/STAT analytic procedures (in particular, the GLM, LOGISTIC, GLIMMIX, and MIXED procedures)

provides response-variable options

enables you to construct a spline term by using multiple variables

provides control options for constructing a spline term, such as fixed degrees of freedom, initial smoothing parameter, fixed smoothing parameter, smoothing parameter search range, user-supplied knot values, and so on

provides multiple link functions for any distribution

provides a WEIGHT statement for weighted analysis

provides a FREQ statement for grouped analysis

provides an OUTPUT statement to produce a data set that has predicted values and other observationwise statistics

produces graphs via ODS Graphics

enables you to run in distributed mode on a cluster of machines that distribute the data and the computations

enables you to run in single-machine mode on the server where SAS is installed

exploits all the available cores and concurrent threads, regardless of execution mode