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Package: funpca | ||
Type: Package | ||
Title: Functional Principal Component Analysis | ||
Version: 9.0 | ||
Date: 2023-06-08 | ||
Authors@R: c(person("Francisco Rosales", email = "francisco.rosales-marticorena@protonmail.com", role = c("aut", "cph","cre")), person("Tatyana Krivobokova", email = "tatyana.krivobokova@univie.ac.at", role = c("con", "ths"))) | ||
Depends: Brobdingnag, MASS, nlme, fda | ||
Description: Functional principal component analysis under the Linear Mixed Models representation of smoothing splines. The method utilizes the Demmler-Reinsch basis and assumes error independence. For more details see: F. Rosales (2016) <https://ediss.uni-goettingen.de/handle/11858/00-1735-0000-0028-87F9-6>. | ||
License: GPL-2 | ||
NeedsCompilation: no | ||
Packaged: 2023-06-14 22:49:53 UTC; arakata | ||
Author: Francisco Rosales [aut, cph, cre], | ||
Tatyana Krivobokova [con, ths] | ||
Maintainer: Francisco Rosales <francisco.rosales-marticorena@protonmail.com> | ||
Repository: CRAN | ||
Date/Publication: 2023-06-15 17:20:05 UTC |
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804ef94dceb0774e9c4a547d8cbe10b2 *DESCRIPTION | ||
6217c2d559e9833f1a26cf38ee3dfcfb *NAMESPACE | ||
4ca05378c5ef4dc123b9aa311e10379a *R/Sqrt.R | ||
ed3880a34100802683b8b82199a66955 *R/dbind.R | ||
b6e39ed4cde25a71b59e668fe0bb6e0b *R/drbasis.R | ||
ef6dfb4b623369196863839c555c57b3 *R/funpca.R | ||
8617d9fc92c34df512e76cf09e723ca5 *R/funpca.default.R | ||
c1c7812cae10ea2b90b7fee54a646d76 *R/funpcaEst.R | ||
c2efa584152dd58bb61e50a56fb42cea *R/globals.R | ||
b518520d1b047f24af491555ea0a4175 *R/plot.funpca.R | ||
55ce77294060a430168d48b8e20e4f88 *R/print.funpca.R | ||
301677204ec01b18883d3e75bcd8c099 *R/spectralnorm.R | ||
e77c1719a3351157e718cf2c83a93626 *R/summary.funpca.R | ||
1b1337a6b4581b671b7197e07b858597 *man/funpca-internal.Rd | ||
83cdddbbc864e101c9bcdf36d5eb4194 *man/funpca-package.Rd | ||
2b28a879ea84d2686dffee1448b26244 *man/funpca.Rd | ||
91f0ecce888ca0291416a03978072b3a *man/plot.funpca.Rd | ||
109152bf0fccfbb002976a4156a22a20 *man/summary.funpca.Rd |
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importFrom("grDevices", "x11") | ||
importFrom("graphics", "abline", "lines", "par", "legend", "axis", "box", "polygon") | ||
importFrom("stats", "acf", "coef", "quantile", "sd", "uniroot", "na.pass", "pacf") | ||
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export(funpcaEst) | ||
export(funpca) | ||
export(plot.funpca) | ||
export(print.funpca) | ||
export(summary.funpca) | ||
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S3method(plot, funpca) | ||
S3method(print, funpca) | ||
S3method(summary, funpca) | ||
S3method(funpca,default) | ||
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# Import all packages listed as Imports or Depends | ||
import( | ||
Brobdingnag, | ||
MASS, | ||
nlme, | ||
fda | ||
) |
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Sqrt <- | ||
function(x) sqrt(x) |
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dbind <- | ||
function(M1,M2){ | ||
if(is.null(M1)){p<-M2}else{ | ||
if(is.null(M2)){p<-M1}else{ | ||
r1<-dim(M1)[1]; | ||
r2<-dim(M2)[1]; | ||
c1<-dim(M1)[2]; | ||
c2<-dim(M2)[2]; | ||
r<-r1+r2; | ||
c<-c1+c2; | ||
p<-matrix(rep(0,r*c),ncol=c); | ||
p[(1:r1),(1:c1)]<-M1; | ||
p[((r1+1):r),((c1+1):c)]<-M2 | ||
}} | ||
return(p) | ||
} |
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