Dear R-list, We have put together a package ASSIST, a collection of R functions for fitting many spline-based non-parametric/semi-parametric linear/non-linear fixed/mixed models, including polynomial, periodic, spherical, thin-plate splines and L splines as well as smoothing spline ANOVA models. It also coveres some cases of generalized additive models, multiple index models, varying coefficient models, functional linear models, and self-modeling nonlinear regression models.
The package contains five main R functions: 1. ssr fits non-parametric regression models for independent and correlated Gaussian data, and for independent binomial, Poisson and Gamma data; 2. slm fits semi-parametric linear mixed-effects models; 3. nnr fits non-parametric nonlinear regression models; 4. snr fits semi-parametric nonlinear regression models; and 5. snm fits semi-parametric nonlinear mixed-effects models. These extend such existing functions in R (S+) as smooth.spline, gam, nls, lme and nlme. ASSIST may be obtained at CRAN or http://www.pstat.ucsb.edu/faculty/yuedong/software Detail information about these functions and many examples can be found in the manual of this package, which again can be downloaded from the above site. Comments and suggestions are highly appreciated! Great thanks! Yuedong Wang and Chunlei Ke __________________________________ Yahoo! Search - Find what you’re looking for faster ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
