Search Results:
Showing results 1 to 10 of 1,149.
Function B.Iso [addreg v3.0]
- keywords
- smooth
- title
- Defining Smooths in addreg.smooth Formulae
- description
- Function used in the definition of smooth terms within addreg.smooth model formulae. The function does not evaluate a smooth --- it exists purely to help set up a model using smooths.
Function tricubeMovingAverage [limma v3.28.14]
- keywords
- smooth
- title
- Moving Average Smoother With Tricube Weights
- description
- Apply a moving average smoother with tricube distance weights to a numeric vector.
Function wp.twin [AGD v0.39]
- keywords
- smooth
- title
- Superposes two worm plots
- description
- Superposes two worm plots from GAMLSS fitted objects. This is a diagnostic tool for comparing two solutions.
Function smooth.demogdata [demography v1.22]
- keywords
- smooth
- title
- Create smooth demogdata functions
- description
- Smooth demogdata data using one of four methods depending on the value of method
Function cm.spline [demography v1.22]
- keywords
- smooth
- title
- Monotonic interpolating splines
- description
- Perform cubic spline monotonic interpolation of given data points, returning either a list of points obtained by the interpolation or a function performing the interpolation. The splines are constrained to be monotonically increasing (i.e., the slope is never negative).
Function heavyPS [heavy v0.38.196]
- keywords
- smooth
- title
- Fit a penalized spline under heavy-tailed distributions
- description
- Fits a penalized spline to the supplied data.
Function neighborhood [prodlim v2019.11.13]
- keywords
- smooth
- title
- Nearest neighborhoods for kernel smoothing
- description
- Nearest neighborhoods for the values of a continuous predictor. The result is used for the conditional Kaplan-Meier estimator and other conditional product limit estimators.
Function lokerns [lokern v1.1-8.1]
- keywords
- smooth
- title
- Kernel Regression Smoothing with Local Plug-in Bandwidth
- description
- Nonparametric estimation of regression functions and their derivatives with kernel regression estimators and automatically adapted local plug-in bandwidth function.
Function glkerns [lokern v1.1-8.1]
- keywords
- smooth
- title
- Kernel Regression Smoothing with Adaptive Plug-in Bandwidth
- description
- Nonparametric estimation of regression functions and their derivatives with kernel regression estimators and automatically adapted (global) plug-in bandwidth.
Function awssigmc [dti v1.5.1]
- keywords
- smooth
- title
- Estimate noise variance for multicoil MR systems
- description
- The distribution of image intensity values \(S_i\) divided by the noise standard deviation in \(K\)-space \(\sigma\) in dMRI experiments is assumed to follow a non-central chi-distribution with \(2L\) degrees of freedom and noncentrality parameter \(\eta\), where \(L\) refers to the number of receiver coils in the system and \(\sigma \eta\) is the signal of interest. This is an idealization in the sense that each coil is assumed to have the same contribution at each location. For realistic modeling \(L\) should be a locally smooth function in voxel space that reflects the varying local influence of the receiver coils in the the reconstruction algorithm used. The functions assume \(L\) to be known and estimate either a local (function awslsigmc) or global ( function awssigmc) \(\sigma\) employing an assumption of local homogeneity for the noncentrality parameter \(\eta\). Function afsigmc implements estimates from Aja-Fernandez (2009). Function aflsigmc implements the estimate from Aja-Fernandez (2013).