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fdasrvf  

Elastic Functional Data Analysis
View on CRAN: Click here


Download and install fdasrvf package within the R console
Install from CRAN:
install.packages("fdasrvf")

Install from Github:
library("remotes")
install_github("cran/fdasrvf")

Install by package version:
library("remotes")
install_version("fdasrvf", "2.3.6")



Attach the package and use:
library("fdasrvf")
Maintained by
J. Derek Tucker
[Scholar Profile | Author Map]
First Published: 2012-09-11
Latest Update: 2023-05-13
Description:
Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 and Tucker et al., 2014 ). This framework allows for elastic analysis of functional data through phase and amplitude separation.
How to cite:
J. Derek Tucker (2012). fdasrvf: Elastic Functional Data Analysis. R package version 2.3.6, https://cran.r-project.org/web/packages/fdasrvf. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0 (2012-09-11 08:50), 1.1 (2012-09-28 08:09), 1.2 (2012-11-15 19:38), 1.3 (2012-12-26 20:19), 1.4.1 (2013-02-25 07:17), 1.4.2 (2014-01-29 16:24), 1.4 (2013-02-18 17:09), 1.5.1 (2015-11-16 08:20), 1.6.0 (2016-01-15 17:59), 1.6.1 (2016-04-22 13:09), 1.6.2 (2016-08-22 10:00), 1.7.0 (2016-09-15 08:14), 1.8.0 (2017-04-17 16:48), 1.8.1 (2017-04-30 21:11), 1.8.2 (2017-09-21 21:43), 1.8.3 (2017-12-17 17:30), 1.9.2 (2019-07-31 21:20), 1.9.3 (2020-03-07 12:30), 1.9.4 (2020-10-09 21:20), 1.9.6 (2021-05-07 18:10), 1.9.7 (2021-06-21 23:40), 1.9.8 (2022-06-07 16:50), 2.0.0 (2023-02-24 14:30), 2.0.1 (2023-03-03 18:00), 2.0.2 (2023-05-13 08:10), 2.0.3 (2023-10-07 07:00), 2.1.0 (2023-11-18 23:10), 2.1.1 (2023-12-16 06:10), 2.1.2 (2023-12-21 13:00), 2.2.0 (2024-01-24 18:50), 2.3.0 (2024-07-16 23:10), 2.3.1 (2024-07-18 15:50), 2.3.2 (2024-08-19 18:10), 2.3.3 (2024-10-05 00:20), 2.3.4 (2024-12-06 16:00), 2.3.5 (2025-02-11 18:30)
Other packages that cited fdasrvf R package
View fdasrvf citation profile
Other R packages that fdasrvf depends, imports, suggests or enhances
Complete documentation for fdasrvf
Functions, R codes and Examples using the fdasrvf R package
Some associated functions: LongRunCovMatrix . SqrtMean . SqrtMeanInverse . SqrtMedian . align_fPCA . ampbox_data . beta . bootTB . boxplot.fdawarp . calc_shape_dist . curve_depth . curve_geodesic . curve_karcher_cov . curve_karcher_mean . curve_pair_align . curve_principal_directions . curve_srvf_align . curve_to_q . elastic.depth . elastic.distance . elastic.logistic . elastic.lpcr.regression . elastic.mlogistic . elastic.mlpcr.regression . elastic.pcr.regression . elastic.prediction . elastic.regression . elastic_amp_change_ff . elastic_change_fpca . elastic_ph_change_ff . f_to_srvf . fdasrvf . function_group_warp_bayes . function_mean_bayes . gam_to_v . gauss_model . gradient . growth_vel . horizFPCA . im . inv_exp_map . invertGamma . jointFPCA . joint_gauss_model . kmeans_align . multiple_align_functions . multivariate_karcher_mean . optimum.reparam . outlier.detection . pair_align_functions . pair_align_functions_bayes . pair_align_functions_expomap . pair_align_image . pcaTB . phbox_data . predict.hfpca . predict.jfpca . predict.lpcr . predict.mlpcr . predict.pcr . predict.vfpca . q_to_curve . reparam_curve . reparam_image . resamplecurve . rgam . sample_shapes . simu_data . simu_warp . simu_warp_median . smooth.data . srvf_to_f . time_warping . toy_data . toy_warp . v_to_gam . vertFPCA . warp_f_gamma . warp_q_gamma . 
Some associated R codes: BBridge.R . LongRunCovMatrix.R . SqrtMean.R . SqrtMedian.R . align-fpca.R . bayesian_functions.R . boxplot.R . calc_shape_dist.R . curve_depth.R . curve_functions.R . curve_geodesic.R . curve_karcher_cov.R . curve_karcher_mean.R . curve_pair_align.R . curve_principal_directions.R . curve_srvf_align.R . curve_to_q.R . data.R . elastic.depth.R . elastic.distance.R . elastic_changepoint.R . elastic_logistic.R . elastic_lpcr_regression.R . elastic_mlogistic.R . elastic_mlpcr_regression.R . elastic_pcr_regression.R . elastic_prediction.R . elastic_regression.R . f_to_srvf.R . fdasrvf-package.R . function_group_warp_bayes.R . function_mean_bayes.R . gauss_model.R . geometry.R . gradient.R . horizFPCA.R . image_funcs.R . invertGamma.R . joint_gauss_model.R . jointfPCA.R . kmeans.R . multiple_align_functions.R . multivariate_karcher_mean.R . optimum.reparam.R . outlier.detection.R . pair_align_functions.R . pair_align_functions_bayes.R . pair_align_functions_expomap.R . pair_align_image.R . plot.fdakma.R . plot.fdawarp.R . plot.hfpca.R . plot.jfpca.R . plot.vfpca.R . predict.hfpca.R . predict.jfpca.R . predict.lpcr.R . predict.mlpcr.R . predict.pcr.R . predict.vfpca.R . q_to_curve.R . regression_functions.R . reparam_curve.R . reparam_image.R . resamplecurve.R . rgam.R . sample_shapes.R . smooth.data.R . srvf_to_f.R . summary.fdawarp.R . time-warping.R . tolerance.R . utils.R . vertFPCA.R . warp_f_gamma.R . warp_q_gamma.R .  Full fdasrvf package functions and examples
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