|
r-statmeasures
|
public |
Offers useful functions to perform day-to-day data manipulation operations, data quality checks and post modelling statistical checks. One can effortlessly change class of a number of variables to factor, remove duplicate observations from the data, create deciles of a variable, perform data quality checks for continuous (integer or numeric), categorical (factor) and date variables, and compute goodness of fit measures such as auc for statistical models. The functions are consistent for objects of class 'data.frame' and 'data.table', which is an enhanced 'data.frame' implemented in the package 'data.table'.
|
2025-04-22 |
|
r-statgraph
|
public |
Contains statistical methods to analyze graphs, such as graph parameter estimation, model selection based on the GIC (Graph Information Criterion), statistical tests to discriminate two or more populations of graphs (ANOGVA -Analysis of Graph Variability), correlation between graphs, and clustering of graphs.
|
2025-04-22 |
|
r-statdataml
|
public |
Support for reading and writing files in StatDataML---an XML-based data exchange format.
|
2025-04-22 |
|
r-stat2data
|
public |
Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). The package also includes data for the first edition, Stat2: Building Models for a World of Data and a few functions for plotting diagnostics.
|
2025-04-22 |
|
r-startupmsg
|
public |
Provides utilities to create or suppress start-up messages.
|
2025-04-22 |
|
r-startup
|
public |
Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
|
2025-04-22 |
|
r-stargazer
|
public |
Produces LaTeX code, HTML/CSS code and ASCII text for well-formatted tables that hold regression analysis results from several models side-by-side, as well as summary statistics.
|
2025-04-22 |
|
r-staplr
|
public |
Provides function to manipulate PDF files: fill out PDF forms; merge multiple PDF files into one; remove selected pages from a file; rename multiple files in a directory; rotate entire pdf document; rotate selected pages of a pdf file; Select pages from a file; splits single input PDF document into individual pages; splits single input PDF document into parts from given points.
|
2025-04-22 |
|
r-standardizetext
|
public |
Standardizes text according to a template; particularly useful for country names.
|
2025-04-22 |
|
r-standardize
|
public |
Tools which allow regression variables to be placed on similar scales, offering computational benefits as well as easing interpretation of regression output.
|
2025-04-22 |
|
r-stand
|
public |
Provides functions for the analysis of occupational and environmental data with non-detects. Maximum likelihood (ML) methods for censored log-normal data and non-parametric methods based on the product limit estimate (PLE) for left censored data are used to calculate all of the statistics recommended by the American Industrial Hygiene Association (AIHA) for the complete data case. Functions for the analysis of complete samples using exact methods are also provided for the lognormal model. Revised from 2007-11-05 'survfit~1'.
|
2025-04-22 |
|
r-stakeholderanalysis
|
public |
Proposes an original instrument for measuring stakeholder influence on the development of an infrastructure project that is carried through by a municipality, drawing on stakeholder classifications (Mitchell, Agle, & Wood, 1997) and input-output modelling (Hester & Adams, 2013). Mitchell R., Agle B.R., & Wood D.J. <doi:10.2307/259247> Hester, P.T., & Adams, K.M. (2013) <doi:10.1016/j.procs.2013.09.282>.
|
2025-04-22 |
|
r-stagedchoicesplinemix
|
public |
Analyzing a mixture of two-stage logistic regressions with fixed candidate knots. See Bruch, E., F. Feinberg, K. Lee (in press)<DOI:10.1073/pnas.1522494113>.
|
2025-04-22 |
|
r-stacomirtools
|
public |
S4 class wrappers for the 'ODBC' connection, also provides some utilities to paste small datasets to clipboard, rename columns. It is used by the package 'stacomiR' for connections to the database. Development versions of 'stacomiR' are available in R-forge.
|
2025-04-22 |
|
r-stackoverflow
|
public |
Helper functions collected from StackOverflow.com, a question and answer site for professional and enthusiast programmers.
|
2025-04-22 |
|
r-stabs
|
public |
Resampling procedures to assess the stability of selected variables with additional finite sample error control for high-dimensional variable selection procedures such as Lasso or boosting. Both, standard stability selection (Meinshausen & Buhlmann, 2010, <doi:10.1111/j.1467-9868.2010.00740.x>) and complementary pairs stability selection with improved error bounds (Shah & Samworth, 2013, <doi:10.1111/j.1467-9868.2011.01034.x>) are implemented. The package can be combined with arbitrary user specified variable selection approaches.
|
2025-04-22 |
|
r-stabm
|
public |
An implementation of many measures for the assessment of the stability of feature selection. Both simple measures and measures which take into account the similarities between features are available, see Bommert et al. (2017) <doi:10.1155/2017/7907163>.
|
2025-04-22 |
|
r-stableestim
|
public |
Estimate the four parameters of stable laws using maximum likelihood method, generalised method of moments with finite and continuum number of points, iterative Koutrouvelis regression and Kogon-McCulloch method. The asymptotic properties of the estimators (covariance matrix, confidence intervals) are also provided.
|
2025-04-22 |
|
r-ssvd
|
public |
Fast iterative thresholding sparse SVD, together with an initialization algorithm
|
2025-04-22 |
|
r-sssimple
|
public |
Simulate, solve state space models
|
2025-04-22 |
|
r-sss
|
public |
Tools to import survey files in the .sss (triple-s) format. The package provides the function read.sss() that reads the .asc (or .csv) and .sss files of a triple-s survey data file.
|
2025-04-22 |
|
r-ssm
|
public |
Creates an S4 class "SSM" and defines functions for fitting smooth supersaturated models, a polynomial model with spline-like behaviour. Functions are defined for the computation of Sobol indices for sensitivity analysis and plotting the main effects using FANOVA methods. It also implements the estimation of the SSM metamodel error using a GP model with a variety of defined correlation functions.
|
2025-04-22 |
|
r-ssize.fdr
|
public |
This package contains a set of functions that calculates appropriate sample sizes for one-sample t-tests, two-sample t-tests, and F-tests for microarray experiments based on desired power while controlling for false discovery rates. For all tests, the standard deviations (variances) among genes can be assumed fixed or random. This is also true for effect sizes among genes in one-sample and two sample experiments. Functions also output a chart of power versus sample size, a table of power at different sample sizes, and a table of critical test values at different sample sizes.
|
2025-04-22 |
|
r-sse
|
public |
Provides functions to evaluate user-defined power functions for a parameter range, and draws a sensitivity plot. It also provides a resampling procedure for semi-parametric sample size estimation and methods for adding information to a Sweave report.
|
2025-04-22 |
|
r-ssdr
|
public |
Performs structured OLS (sOLS) and structured SIR (sSIR).
|
2025-04-22 |
