Package: DoubleCone
Type: Package
Title: Test against parametric regression function
Version: 1.0
Date: 2013-10-24
Author: Mary C Meyer, Bodhisattva Sen
Maintainer: Mary C Meyer <meyer@stat.colostate.edu>
Description: Performs hypothesis tests concerning a regression function in a least-squares model, where the null is a parametric function, and the alternative is the union of large-dimensional convex polyhedral cones.
License: GPL-2 | GPL-3
Depends: graphics, grDevices, stats, utils, coneproj, Matrix, MASS
Packaged: 2013-11-22 20:07:10 UTC; marycmeyer
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-22 22:02:24
Package: ShapeChange
Type: Package
Title: Change-Point Estimation using Shape-Restricted Splines
Version: 1.3
Date: 2016-03-19
Author: Xiyue Liao and Mary C Meyer
Maintainer: Xiyue Liao <xiyue@rams.colostate.edu>
Description: In a scatterplot where the response variable is Gaussian, Poisson or binomial, we consider the case in which the mean function is smooth with a change-point, which is a mode, an inflection point or a jump point. The main routine estimates the mean curve and the change-point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrap confidence interval for the change-point is incorporated in the main routine.
License: GPL (>= 2)
Depends: coneproj (>= 1.8), quadprog (>= 1.5-5), R (>= 3.2.0)
NeedsCompilation: no
Suggests: stats, MASS, graphics, grDevices, utils
Packaged: 2016-03-20 02:14:20 UTC; xiyue
Repository: CRAN
Date/Publication: 2016-03-20 16:38:42
Package: ShapeSelectForest
Type: Package
Title: Shape Selection for Landsat Time Series of Forest Dynamics
Version: 1.2
Date: 2015-12-25
Author: Mary C. Meyer, Xiyue Liao, Elizabeth Freeman, Gretchen G. Moisen
Maintainer: Xiyue Liao <xiyue@rams.colostate.edu>
Description: Landsat satellites collect important data about global forest conditions. Documentation about Landsat's role in forest disturbance estimation is available at the site <http://landsat.gsfc.nasa.gov/?p=9513>. By constrained quadratic B-splines, this package delivers an optimal shape-restricted trajectory to a time series of Landsat imagery for the purpose of modeling annual forest disturbance dynamics to behave in an ecologically sensible manner assuming one of seven possible "shapes", namely, flat, decreasing, one-jump (decreasing, jump up, decreasing), inverted vee (increasing then decreasing), vee (decreasing then increasing), linear increasing, and double-jump (decreasing, jump up, decreasing, jump up, decreasing). The main routine selects the best shape according to the minimum Bayes information criterion (BIC) or the cone information criterion (CIC), which is defined as the log of the estimated predictive squared error. The package also provides parameters summarizing the temporal pattern including year(s) of inflection, magnitude of change, pre- and post-inflection rates of growth or recovery. In addition, it contains routines for converting a flat map of disturbance agents to time-series disturbance maps and a graphical routine displaying the fitted trajectory of Landsat imagery.
License: GPL (>= 2)
Depends: coneproj (>= 1.6), raster (>= 2.3-40), rgdal (>= 0.8-12), R
(>= 3.0.2)
NeedsCompilation: no
Suggests: stats, MASS, graphics, grDevices, utils
Packaged: 2015-12-25 17:26:08 UTC; xiyue
Repository: CRAN
Date/Publication: 2015-12-26 00:41:05
Package: ConSpline
Type: Package
Title: Partial Linear Least-Squares Regression using Constrained
Splines
Version: 1.1
Date: 2015-08-27
Author: Mary C Meyer
Maintainer: Mary C Meyer <meyer@stat.colostate.edu>
Description: Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline. Function outputs fits and various types of inference.
License: GPL-2 | GPL-3
Depends: graphics, grDevices, stats, utils, coneproj
NeedsCompilation: no
Packaged: 2015-08-27 21:59:55 UTC; xiyue
Repository: CRAN
Date/Publication: 2015-08-29 13:14:55
Package: isotonic.pen
Type: Package
Title: Penalized Isotonic Regression in one and two dimensions
Version: 1.0
Date: 2014-04-04
Author: Mary C Meyer, Jiwen Wu, and Jean D. Opsomer
Maintainer: Mary Meyer <meyer@stat.colostate.edu>
Description: Given a response y and a one- or two-dimensional predictor, the isotonic regression estimator is calculated with the usual orderings.
License: GPL-2 | GPL-3
Depends: graphics, grDevices, stats, utils, coneproj, Matrix
Packaged: 2014-04-04 22:31:54 UTC; marycmeyer
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-04-05 19:08:34
Package: cgam
Type: Package
Title: Constrained Generalized Additive Model
Version: 1.5
Date: 2016-06-06
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <xiyue@rams.colostate.edu>
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors with or without shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The cone information criterion (CIC) may be used to select the best combination of variables and shapes. One extension of this package is isotonic regression in two dimensions using warped-plane splines without using additivity assumptions, which is implemented by the wps routine.
License: GPL (>= 2)
Depends: coneproj (>= 1.3), R (>= 3.0.2)
NeedsCompilation: no
Suggests: stats, MASS, graphics, grDevices, utils
Packaged: 2016-06-05 16:22:35 UTC; xiyue
Repository: CRAN
Date/Publication: 2016-06-05 18:41:15
providing 
.