|
r-pzfx
|
public |
Read and write 'GraphPad Prism' '.pzfx' files in R.
|
2025-04-22 |
|
r-pyramid
|
public |
Drawing population pyramid using (1) data.frame or (2) vectors. The former is named as pyramid() and the latter pyramids(), as wrapper function of pyramid(). pyramidf() is the function to draw population pyramid within the specified frame.
|
2025-04-22 |
|
r-pymturkr
|
public |
Provides access to the latest 'Amazon Mechanical Turk' ('MTurk') <https://www.mturk.com> Requester API (version '2017–01–17'), replacing the now deprecated 'MTurkR' package.
|
2025-04-22 |
|
r-pxweb
|
public |
Generic interface for the PX-Web/PC-Axis API. The PX-Web/PC-Axis API is used by organizations such as Statistics Sweden and Statistics Finland to disseminate data. The R package can interact with all PX-Web/PC-Axis APIs to fetch information about the data hierarchy, extract metadata and extract and parse statistics to R data.frame format. PX-Web is a solution to disseminate PC-Axis data files in dynamic tables on the web. Since 2013 PX-Web contains an API to disseminate PC-Axis files.
|
2025-04-22 |
|
r-pxr
|
public |
Provides a set of functions for reading and writing PC-Axis files, used by different statistical organizations around the globe for data dissemination.
|
2025-04-22 |
|
r-pwt9
|
public |
The Penn World Table 9.x (<http://www.ggdc.net/pwt/>) provides information on relative levels of income, output, inputs, and productivity for 182 countries between 1950 and 2017.
|
2025-04-22 |
|
r-pwt8
|
public |
The Penn World Table 8.x provides information on relative levels of income, output, inputs, and productivity for 167 countries between 1950 and 2011.
|
2025-04-22 |
|
r-pwt
|
public |
The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries for some or all of the years 1950-2010.
|
2025-04-22 |
|
r-pwrrasch
|
public |
Statistical power simulation for testing the Rasch Model based on a three-way analysis of variance design with mixed classification.
|
2025-04-22 |
|
r-pwrab
|
public |
Power analysis for AB testing. The calculations are based on the Welch's unequal variances t-test, which is generally preferred over the Student's t-test when sample sizes and variances of the two groups are unequal, which is frequently the case in AB testing. In such situations, the Student's t-test will give biased results due to using the pooled standard deviation, unlike the Welch's t-test.
|
2025-04-22 |
|
r-pwr2
|
public |
User friendly functions for power and sample size analysis at one-way and two-way ANOVA settings take either effect size or delta and sigma as arguments. They are designed for both one-way and two-way ANOVA settings. In addition, a function for plotting power curves is available for power comparison, which can be easily visualized by statisticians and clinical researchers.
|
2025-04-22 |
|
r-pwr
|
public |
Power analysis functions along the lines of Cohen (1988).
|
2025-04-22 |
|
r-pvsr
|
public |
The pvsR package facilitates data retrieval from Project Vote Smart's rich online data base on US politics via the Project Vote Smart application programming interface (PVS API). The functions in this package cover most PVS API classes and methods and return the requested data in a data frame.
|
2025-04-22 |
|
r-pvclust
|
public |
An implementation of multiscale bootstrap resampling for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) p-value as well as BP (bootstrap probability) value for each cluster in a dendrogram.
|
2025-04-22 |
|
r-pvclass
|
public |
Computes nonparametric p-values for the potential class memberships of new observations as well as cross-validated p-values for the training data. The p-values are based on permutation tests applied to an estimated Bayesian likelihood ratio, using a plug-in statistic for the Gaussian model, 'k nearest neighbors', 'weighted nearest neighbors' or 'penalized logistic regression'. Additionally, it provides graphical displays and quantitative analyses of the p-values.
|
2025-04-22 |
|
r-pushoverr
|
public |
Send push notifications to mobile devices or the desktop using Pushover. These notifications can display job status, results, scraped web data, or any other text or numeric data.
|
2025-04-22 |
|
r-pushbar
|
public |
Create sliders from left, right, top and bottom which may include any html or 'Shiny' input or output.
|
2025-04-22 |
|
r-purging
|
public |
Simple method of purging independent variables of mediating effects. First, regress the direct variable on the indirect variable. Then, used the stored residuals as the new purged (direct) variable in the updated specification. This purging process allows for use of a new direct variable uncorrelated with the indirect variable. Please cite the method and/or package using Waggoner, Philip D. (2018) <doi:10.1177/1532673X18759644>.
|
2025-04-22 |
|
r-purge
|
public |
Enables the removal of training data from fitted R models while retaining predict functionality. The purged models are more portable as their memory footprints do not scale with the training sample size.
|
2025-04-22 |
|
r-pumilior
|
public |
R package to query and get data out of a Pumilio sound archive system (http://ljvillanueva.github.io/pumilio/).
|
2025-04-22 |
|
r-pulsar
|
public |
Model selection for penalized graphical models using the Stability Approach to Regularization Selection ('StARS'), with options for speed-ups including Bounded StARS (B-StARS), batch computing, and other stability metrics (e.g., graphlet stability G-StARS). Christian L. Müller, Richard Bonneau, Zachary Kurtz (2016) <arXiv:1605.07072>.
|
2025-04-22 |
|
r-publish
|
public |
A bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.
|
2025-04-22 |
|
r-ptycho
|
public |
Bayesian variable selection for linear regression models using hierarchical priors. There is a prior that combines information across responses and one that combines information across covariates, as well as a standard spike and slab prior for comparison. An MCMC samples from the marginal posterior distribution for the 0-1 variables indicating if each covariate belongs to the model for each response.
|
2025-04-22 |
|
r-ptwikiwords
|
public |
Contains a dataset of words used in 15.000 randomly extracted pages from the Portuguese Wikipedia (<https://pt.wikipedia.org/>).
|
2025-04-22 |
|
r-ptprocess
|
public |
Fits and analyses time dependent marked point process models with an emphasis on earthquake modelling. For a more detailed introduction to the package, see the topic "PtProcess". A list of recent changes can be found in the topic "Change Log".
|
2025-04-22 |
