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files revised to match fda_5.1.6.tar.gz
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R/fRegress.R

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@@ -66,7 +66,7 @@ fRegress <- function(y, xfdlist, betalist, wt=NULL,
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# as predict(fRegressList). In this call fRegressList can be any object of the
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# "fRegress".
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# Last modified 3 July 2020 by Jim Ramsay
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# Last modified 7 August 2020 by Jim Ramsay
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arglist <- fRegressArgCheck(y, xfdlist, betalist, wt)
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R/fRegress.fdPar.R

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@@ -1,11 +1,12 @@
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fRegress.fd <- function(y, xfdlist, betalist, wt=NULL,
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y2cMap=NULL, SigmaE=NULL, returnMatrix=FALSE, ...){
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yfdPar <- fdPar(y, ...)
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fRegress.fdPar(yfdPar, xfdlist, betalist, wt=wt,
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y2cMap=y2cMap, SigmaE=SigmaE, returnMatrix=FALSE, ...)
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}
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# ------------------------------------------------------------------------
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fRegress.fdPar <- function(y, xfdlist, betalist, wt=NULL,
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y2cMap=NULL, SigmaE=NULL, returnMatrix=FALSE, ...)
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{
@@ -60,7 +61,7 @@ fRegress.fdPar <- function(y, xfdlist, betalist, wt=NULL,
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# wt ... weights for observations
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# df ... degrees of freedom for fit
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# Last modified 8 May 2012 by Jim Ramsay
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# Last modified 7 August 2020 by Jim Ramsay
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##
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## 1. check YFDPAR and compute sample size N

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