ridge.diacomp(SpherWave)
ridge.diacomp()所属R语言包:SpherWave
Calculation of Generalized Cross-validation
广义交叉验证的计算
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This function calculates generalized cross-validation for ridge regression.
此函数计算广义岭回归交叉验证。
用法----------Usage----------
ridge.diacomp(out.ls, obs, lam)
参数----------Arguments----------
参数:out.ls
an object of class "lsfit"
对象类的lsfit“
参数:obs
observations
观察
参数:lam
smoothing parameter for penalized least squares method
平滑参数补偿最小二乘法
Details
详细信息----------Details----------
This function calculates generalized cross-validation for ridge regression.
此函数计算广义岭回归交叉验证。
值----------Value----------
<table summary="R valueblock"> <tr valign="top"><td>rsq</td> <td> R-squared</td></tr> <tr valign="top"><td>gcv</td> <td> generalized cross-validation for ridge regression.</td></tr> <tr valign="top"><td>df</td> <td> degree of freedom</td></tr> </table>
<table summary="R valueblock"> <tr valign="top"> <TD>rsq </ TD> <TD> R-平方</ TD> </ TR> <TR VALIGN =“顶” > <TD> gcv </ TD> <TD>广义交叉验证岭回归。</ TD> </ TR> <tr valign="top"> <TD>df</ TD> <TD>自由度</ TD> </ TR> </ TABLE>
参考文献----------References----------
Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A\&M University, College Station.
Li, T-H. (1999) Multiscale representation and analysis of spherical data by spherical wavelets. SIAM Journal on Scientific Computing, 21, 924–953.
Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method. Journal of the Royal Statistical Society Ser. B, 66, 221–238.
参见----------See Also----------
gcv.lambda, ridge.comp.
gcv.lambda,ridge.comp。
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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