Package: plsRbeta 0.3.0

plsRbeta: Partial Least Squares Regression for Beta Regression Models

Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <http://journal-sfds.fr/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Authors:Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut]

plsRbeta_0.3.0.tar.gz
plsRbeta_0.3.0.zip(r-4.5)plsRbeta_0.3.0.zip(r-4.4)plsRbeta_0.3.0.zip(r-4.3)
plsRbeta_0.3.0.tgz(r-4.4-any)plsRbeta_0.3.0.tgz(r-4.3-any)
plsRbeta_0.3.0.tar.gz(r-4.5-noble)plsRbeta_0.3.0.tar.gz(r-4.4-noble)
plsRbeta_0.3.0.tgz(r-4.4-emscripten)plsRbeta_0.3.0.tgz(r-4.3-emscripten)
plsRbeta.pdf |plsRbeta.html✨
plsRbeta/json (API)

# Install 'plsRbeta' in R:

install.packages('plsRbeta', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fbertran/plsrbeta/issues

Datasets:

TxTum - Cancer infiltration rates
TxTum.mod.bootBC1 - Bootstrap distribution TxTum BC1 model
TxTum.mod.bootBR6 - Bootstrap distribution TxTum BR6 model
colon - Tumor rate and spectral data
ind_BCa_nt1BC - Ind_BCa_nt1BC
ind_BCa_nt1BR - Ind_BCa_nt1BR
ind_BCa_nt2BC - Ind_BCa_nt2BC
ind_BCa_nt2BR - Ind_BCa_nt2BR
ind_BCa_nt3 - Ind_BCa_nt3
ind_BCa_nt3BC - Ind_BCa_nt3BC
ind_BCa_nt3BR - Ind_BCa_nt3BR
ind_BCa_nt4BC - Ind_BCa_nt4BC
ind_BCa_nt4BR - Ind_BCa_nt4BR
ind_BCa_nt5BC - Ind_BCa_nt5BC
ind_BCa_nt5BR - Ind_BCa_nt5BR
ind_BCa_nt6BC - Ind_BCa_nt6BC
ind_BCa_nt6BR - Ind_BCa_nt6BR
modpls.boot3 - Bootstrap distribution of a 3 components model
modpls_sub4 - A plsRbetamodel model on a data subset

On CRAN:

21 exports 2 stars 0.85 score 81 dependencies 22 scripts 342 downloads

Last updated 2 years agofrom:5074584351. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 28 2024
R-4.5-win	NOTE	Aug 28 2024
R-4.5-linux	NOTE	Aug 28 2024
R-4.4-win	OK	Aug 28 2024
R-4.4-mac	OK	Aug 28 2024
R-4.3-win	OK	Aug 28 2024
R-4.3-mac	OK	Aug 28 2024

Exports:bootplsbeta coefs.plsRbeta coefs.plsRbeta.raw coefs.plsRbetanp kfolds2CVinfos_beta permcoefs.plsRbeta permcoefs.plsRbeta.raw permcoefs.plsRbetanp PLS_beta PLS_beta_formula PLS_beta_kfoldcv PLS_beta_kfoldcv_formula PLS_beta_wvc plsRbeta plsRbetamodel.default plsRbetamodel.formula print.plsRbetamodel print.summary.plsRbetamodel simul_data_UniYX_beta summary.plsRbetamodel tilt.bootplsbeta

Dependencies:abind backports betareg bipartite boot broom car carData cli cluster coda colorspace cowplot cpp11 Deriv doBy dotCall64 dplyr fansi farver fields flexmix Formula generics ggplot2 glue gtable igraph isoband labeling lattice lifecycle lme4 lmtest magrittr maps MASS Matrix MatrixModels mgcv microbenchmark minqa modelr modeltools munsell mvtnorm network nlme nloptr nnet numDeriv pbkrtest permute pillar pkgconfig plsRglm purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang sandwich scales sna spam SparseM statnet.common stringi stringr survival tibble tidyr tidyselect utf8 vctrs vegan viridisLite withr zoo

Partial Least Squares Regression for Beta Regression Models

Frédéric Bertrand and Myriam Maumy-Bertrand

Rendered fromtn_Insights.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2021-07-15
Started: 2021-07-15

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
plsRbeta-package	plsRbeta-package
Non-parametric Bootstrap for PLS beta regression models	bootplsbeta
Coefficients function for bootstrap techniques	coefs.plsRbeta
Raw coefficients function for bootstrap techniques	coefs.plsRbeta.raw
Coefficients for bootstrap computations of PLSBeta models	coefs.plsRbetanp
Tumor rate and spectral data	colon
ind_BCa_nt1BC	ind_BCa_nt1BC
ind_BCa_nt1BR	ind_BCa_nt1BR
ind_BCa_nt2BC	ind_BCa_nt2BC
ind_BCa_nt2BR	ind_BCa_nt2BR
ind_BCa_nt3	ind_BCa_nt3
ind_BCa_nt3BC	ind_BCa_nt3BC
ind_BCa_nt3BR	ind_BCa_nt3BR
ind_BCa_nt4BC	ind_BCa_nt4BC
ind_BCa_nt4BR	ind_BCa_nt4BR
ind_BCa_nt5BC	ind_BCa_nt5BC
ind_BCa_nt5BR	ind_BCa_nt5BR
ind_BCa_nt6BC	ind_BCa_nt6BC
ind_BCa_nt6BR	ind_BCa_nt6BR
Computes Predicted Chisquare for kfold cross validated partial least squares beta regression models.	kfolds2Chisq
Computes individual Predicted Chisquare for kfold cross validated partial least squares beta regression models.	kfolds2Chisqind
Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares beta regression models	kfolds2CVinfos_beta
A plsRbetamodel model on a data subset	modpls_sub4
Bootstrap distribution of a 3 components model	modpls.boot3
Coefficients function for permutation bootstrap techniques	permcoefs.plsRbeta
Raw coefficients function for permutation bootstrap techniques	permcoefs.plsRbeta.raw
Coefficients for permutation bootstrap computations of PLSBeta models	permcoefs.plsRbetanp
Partial least squares beta regression models	PLS_beta
Partial least squares beta regression models	PLS_beta_formula
Partial least squares regression beta models with kfold cross validation	PLS_beta_kfoldcv
Partial least squares regression beta models with kfold cross validation	PLS_beta_kfoldcv_formula
Light version of PLS_beta for cross validation purposes	PLS_beta_wvc
Partial least squares Regression beta regression models	plsRbeta plsRbetamodel.default plsRbetamodel.formula
Print method for plsRbeta models	print.plsRbetamodel
Print method for summaries of plsRbeta models	print.summary.plsRbetamodel
Data generating function for univariate beta plsR models	simul_data_UniYX_beta
Summary method for plsRbeta models	summary.plsRbetamodel
Non-parametric tilted bootstrap for PLS beta regression models	tilt.bootplsbeta
Cancer infiltration rates	TxTum
Bootstrap distribution TxTum BC1 model	TxTum.mod.bootBC1
Bootstrap distribution TxTum BR6 model	TxTum.mod.bootBR6