fpca.face
ccb.fpc.R
and fosr.perm.test.R
files to fix Note.pfr
models without intercept (thx, @ZheyuanLi)mfpca.face
, which is a faster version of mfpca.sc
fpca.face
to patch error when npc = 1pfr
to patch error in R version 4.1fgam
examples for upcoming R releaseuseSymm = TRUE
in tests for fpca.sc
fpc()
due to release of R 4.0.0 that changes the following: R> class(matrix(1 : 4, 2, 2))
[1] "matrix" "array"
(and no longer just "matrix" as before), and that conditions of length
greater than one in 'if' and 'while' statements executing in the package
being checked give an error.
fix minor bug in rlrt.pfr.R
change maintainer from Rayman Huang to Julia Wrobel
updates for compatibility with mgcv 1.8-23 (#69 etc.)
fixed fpcr for scalar covariates (#76)
now re-exports cmdscale_lanczos
homogenized inputs/outputs to most fpca.XXX functions
fix documentation for fpca.face
added pco ridge regression see ?poridge
add fpca.lfda()
function
add functions and data set from refund.shiny package
add mfpca.sc()
function.
add example for DTI data.
export pfr_old()
.
fix documentation and add warning message for rlrt.pfr()
.
new pfr()
function. The new pfr()
function merged the old pfr and fgam functionality.
Switch to roxygen2 documentation
allow an "argvals" argument to all relevant functions for consistent strucuture throughout the package
refactor input and output argument for fosr()
.
add vignettes.
bug fix in fpca.face()
.
export expand.call()
.
add cross-sectional FoSR using GLS, variational Bayes and Gibbs sampler
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