bigsplines R Package:
- Smoothing Splines for Large Samples
- https://CRAN.R-project.org/package=bigsplines
- Primary Functions
bigspline: Fits cubic smoothing splines (unconstrained or periodic) bigssa: Fits smoothing spline anova models (Gaussian data) bigssg: Fits generalized smoothing spline anova models (non-Gaussian data) bigssp: Fits smoothing splines with parametric effects bigtps: Fits cubic thin-plate splines (one-, two-, or three-dimensional) - See R documentation and my talk for examples.
CMLS R Package:
- Constrained Multivariate Least Squares
- https://CRAN.R-project.org/package=CMLS
- Primary Functions
cmls: Solves CMLS problems with 24 common constraint options const: Prints/Returns constraint options for 'cmls' function cv.cmls: Cross-validation to tune constraint options for 'cmls' function mlsei: Solves MLS problems with equality and/or inequality (E/I) constraints mlsun: Solves MLS problems with unimodality and E/I constraints - See R documentation for examples.
Dykstra R Package:
- Quadratic Programming using Cyclic Projections
- https://CRAN.R-project.org/package=Dykstra
- Primary Function
dykstra: Solve a Quadratic Programming Problem via Dykstra's Algorithm - See R documentation for examples.
- In CRAN Task View Optimization and Mathematical Programming
eegkit R Package:
- Toolkit for Electroencephalography Data
- https://CRAN.R-project.org/package=eegkit
- Primary Functions
eegcap: Draws EEG cap with selected electrodes (3d or 2d) eegica: Independent component analysis of EEG data eegsmooth: Spatial and/or temporal smoothing of EEG data eegspace: Plots multi-channel EEG spatial map eegtime: Plots single-channel EEG time course eegtimemc: Plots multi-channel EEG time course - See R documentation for examples.
- In CRAN Task View Psychometric Models and Methods and Medical Image Analysis.
ica R Package:
- Independent Component Analysis
- https://CRAN.R-project.org/package=ica
- Primary Functions
icafast: ICA via FastICA algorithm icaimax: ICA via Information Maximization (Infomax) icajade: ICA via Joint Approximate Diagonalization of Eigenmatrices (JADE) icasamp: Samples from various interesting distributions - See R documentation for examples.
- In CRAN Task View Psychometric Models and Methods.
multiway R Package:
- Component Models for Multi-Way Data
- https://CRAN.R-project.org/package=multiway
- Primary Functions
indscal: Individual Differences Scaling parafac: Parallel Factor Analysis-1 parafac2: Parallel Factor Analysis-2 sca: Simultaneous Component Analysis tucker: Tucker Factor Analysis - See R documentation for examples.
- In CRAN Task View Psychometric Models and Methods.
npreg R Package:
- Nonparametric Regression via Smoothing Splines
- https://CRAN.R-project.org/package=npreg
- Primary Functions
gsm: Fits Generalized Smooth Models (for non-Gaussian response) sm: Fits Smooth Models (for Gaussian response with multiple predictors) ss: Fits Smoothing Splines (for Gaussian response with one predictor) - See R documentation for examples.
nptest R Package:
- Nonparametric Bootstrap and Permutation Tests
- https://CRAN.R-project.org/package=nptest
- Primary Functions
np.boot: Nonparametric Bootstrap Resampling (with five CIs) np.cor.test: Nonparametric Tests of Correlation Coefficients np.loc.test: Nonparametric Tests of Location Parameters np.reg.test: Nonparametric Tests of Regression Coefficients - See R documentation for examples.