|
r-phenability
|
public |
An alternative to carrying out phenotypic adaptability and stability analyses, taking into account nonparametric statistics. Can be used as a robust approach, less sensitive to departures from common genotypic, environmental, and GxE effects data assumptions (e.g., normal distribution of errors).
|
2025-04-22 |
|
r-pheatmap
|
public |
Implementation of heatmaps that offers more control over dimensions and appearance.
|
2025-04-22 |
|
r-phd
|
public |
Provides permutation methods for testing in high-dimensional linear models. The tests are often robust against heteroscedasticity and non-normality and usually perform well under anti-sparsity. See Hemerik and Goeman (2018) <doi:10.1007/s11749-017-0571-1>.
|
2025-04-22 |
|
r-ph2mult
|
public |
Provide multinomial design methods under intersection-union test (IUT) and union-intersection test (UIT) scheme for Phase II trial. The design types include : Minimax (minimize the maximum sample size), Optimal (minimize the expected sample size), Admissible (minimize the Bayesian risk) and Maxpower (maximize the exact power level).
|
2025-04-22 |
|
r-pgnorm
|
public |
Evaluation of the pdf and the cdf of the univariate, noncentral, p-generalized normal distribution. Sampling from the univariate, noncentral, p-generalized normal distribution using either the p-generalized polar method, the p-generalized rejecting polar method, the Monty Python method, the Ziggurat method or the method of Nardon and Pianca. The package also includes routines for the simulation of the bivariate, p-generalized uniform distribution and the simulation of the corresponding angular distribution.
|
2025-04-22 |
|
r-pgm2
|
public |
Construction method of nested resolvable designs from a projective geometry defined on Galois field of order 2. The obtained Resolvable designs are used to build uniform design. The presented results are based on <https://eudml.org/doc/219563> and A. Boudraa et al. (See references).
|
2025-04-22 |
|
r-pgls
|
public |
Based on the Generalized Least Square model for comparative Phylogenetics (ref).
|
2025-04-22 |
|
r-pgee
|
public |
Fits penalized generalized estimating equations to longitudinal data with high-dimensional covariates.
|
2025-04-22 |
|
r-petitr
|
public |
Calculates the relative growth rate (RGR) of a series of individuals by building a life table and solving the Lotka-Birch equation. (See Birch, L. C. 1948. The intrinsic rate of natural increase of an insect population. - Journal of Animal Ecology 17: 15-26) <doi:10.2307/1605>.
|
2025-04-22 |
|
r-petfinder
|
public |
Wrapper of the 'Petfinder API' <https://www.petfinder.com/developers/v2/docs/> that implements methods for interacting with and extracting data from the 'Petfinder' database. The 'Petfinder REST API' allows access to the 'Petfinder' database, one of the largest online databases of adoptable animals and animal welfare organizations across North America.
|
2025-04-22 |
|
r-pesel
|
public |
Automatic estimation of number of principal components in PCA with PEnalized SEmi-integrated Likelihood (PESEL). See Piotr Sobczyk, Malgorzata Bogdan, Julie Josse 'Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood' (2017) <doi:10.1080/10618600.2017.1340302>.
|
2025-04-22 |
|
r-perturb
|
public |
Use the perturb() function to evaluates collinearity by adding random noise to selected variables (Hendrickx & Pelzer 2004). The colldiag function() calculates condition numbers and variance decomposition proportions to test for collinearity and uncover its sources (Belsley 1980).
|
2025-04-22 |
|
r-persianstemmer
|
public |
Allows users to stem Persian texts for text analysis.
|
2025-04-22 |
|
r-persiandictionary
|
public |
Translate words from English to Persian (Over 67,000 words)
|
2025-04-22 |
|
r-permute
|
public |
A set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples) is provided. 'permute' also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeable or one of the restricted designs. The 'permute' package is modelled after the permutation schemes of 'Canoco 3.1' (and later) by Cajo ter Braak.
|
2025-04-22 |
|
r-permgs
|
public |
Permutational group-sequential tests for time-to-event data based on the log-rank test statistic. Supports exact permutation test when the censoring distributions are equal in the treatment and the control group and approximate imputation-permutation methods when the censoring distributions are different.
|
2025-04-22 |
|
r-permalgo
|
public |
This version of the permutational algorithm generates a dataset in which event and censoring times are conditional on an user-specified list of covariates, some or all of which are time-dependent.
|
2025-04-22 |
|
r-periodictable
|
public |
Provides a dataset containing properties for chemical elements. Helper functions are also provided to access some atomic properties.
|
2025-04-22 |
|
r-perc
|
public |
To find the certainty of dominance interactions with indirect interactions being considered.
|
2025-04-22 |
|
r-pepsavims
|
public |
An implementation of the data processing and data analysis portion of a pipeline named the PepSAVI-MS which is currently under development by the Hicks laboratory at the University of North Carolina. The statistical analysis package presented herein provides a collection of software tools used to facilitate the prioritization of putative bioactive peptides from a complex biological matrix. Tools are provided to deconvolute mass spectrometry features into a single representation for each peptide charge state, filter compounds to include only those possibly contributing to the observed bioactivity, and prioritize these remaining compounds for those most likely contributing to each bioactivity data set.
|
2025-04-22 |
|
r-pemm
|
public |
This package provides functions to perform multivariate Gaussian parameter estimation based on data with abundance-dependent missingness. It implements a penalized Expectation-Maximization (EM) algorithm. The package is tailored for but not limited to proteomics data applications, in which a large proportion of the data are often missing-not-at-random with lower values (or absolute values) more likely to be missing.
|
2025-04-22 |
|
r-pegrouptesting
|
public |
The population proportion using group testing can be estimated by different methods. Four functions including p.mle(), p.gart(), p.burrow() and p.order() are provided to implement four estimating methods including the maximum likelihood estimate, Gart's estimate, Burrow's estimate, and order statistic estimate.
|
2025-04-22 |
|
r-peerperformance
|
public |
Provides functions to perform the peer performance analysis of funds' returns as described in Ardia and Boudt (2018) <doi:10.1016/j.jbankfin.2017.10.014>.
|
2025-04-22 |
|
r-pearsonica
|
public |
The Pearson-ICA algorithm is a mutual information-based method for blind separation of statistically independent source signals. It has been shown that the minimization of mutual information leads to iterative use of score functions, i.e. derivatives of log densities. The Pearson system allows adaptive modeling of score functions. The flexibility of the Pearson system makes it possible to model a wide range of source distributions including asymmetric distributions. The algorithm is designed especially for problems with asymmetric sources but it works for symmetric sources as well.
|
2025-04-22 |
|
r-pearson7
|
public |
Supports maximum likelihood inference for the Pearson VII distribution with shape parameter 3/2 and free location and scale parameters. This distribution is relevant when estimating the velocity of processive motor proteins with random detachment.
|
2025-04-22 |
