RMC(RMC)
RMC()所属R语言包：RMC
Package Description
包装说明
译者：生物统计家园网 机器人LoveR
描述----------Description----------
RMC is a package that fits and predicts reversible Markov models with a particular parameterisation described in Foster et al (2009). The core work-horse of the estimation routines is the function RMC.mod, but also see MVfill for (single) imputing of associated chained covariates, and RMC.pred for prediction of the local area stationary distribution.
RMC是一个包，适合与预测的可逆马尔可夫模型与Foster等人（2009）在一个特定的参数化描述。马的评估程序的核心工作是函数RMC.mod，但也看到MVfill（单人）的归责的相关链的协变量，和RMC.pred当地的平稳分布预测。
Also contained in the RMC package is a bunch of methods that provide graphical diagnostics for this class of models (see Foster and Bravington 2010). This is performed through the functions diagnos for calculation of residuals, diagnos.envel for calculation of residuals and simulation envelopes, and hrplot for subsequent plotting.
此外，RMC包中包含的是一堆这一类模型（请参阅福斯特和Bravington 2010），提供图形化的诊断方法。这是通过功能diagnos为计算残差，diagnos.envel的计算的残差和模拟信封，和hrplot的随后的绘制。
（作者）----------Author(s)----------
Scott D. Foster
参考文献----------References----------
Foster, S.D., Bravington, M.V., Williams, A., Althaus, F, Laslett, G.M., and Kloser, R.J. (2008) Analysis and prediction of faunal distributions from video and multi-beam sonar data using Markov models. Environmetrics, 20: 541-560.
Foster, S.D. and Bravington, M.V. (2009) Graphical Diagnostics for Markov Models for Categorical Data. Journal of Computational and Graphical Statistics, to appear.
参见----------See Also----------
diagnos, diagnos.envel, examplesForDiagnostics, hrplot, MVfill, RMC.mod, RMC.pred.
diagnos，diagnos.envel，examplesForDiagnostics，hrplot，MVfill，RMC.mod，RMC.pred。
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
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发表于 2012-9-26 23:56:46
