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npboottprm  

Nonparametric Bootstrap Test with Pooled Resampling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("npboottprm", "0.2.1")



Attach the package and use:
library("npboottprm")
Maintained by
Mackson Ncube
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-08
Latest Update: 2024-02-23
Description:
Addressing crucial research questions often necessitates a small sample size due to factors such as distinctive target populations, rarity of the event under study, time and cost constraints, ethical concerns, or group-level unit of analysis. Many readily available analytic methods, however, do not accommodate small sample sizes, and the choice of the best method can be unclear. The 'npboottprm' package enables the execution of nonparametric bootstrap tests with pooled resampling to help fill this gap. Grounded in the statistical methods for small sample size studies detailed in Dwivedi, Mallawaarachchi, and Alvarado (2017) , the package facilitates a range of statistical tests, encompassing independent t-tests, paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests. The nonparboot() function undertakes essential computations, yielding detailed outputs which include test statistics, effect sizes, confidence intervals, and bootstrap distributions. Further, 'npboottprm' incorporates an interactive 'shiny' web application, nonparboot_app(), offering intuitive, user-friendly data exploration.
How to cite:
Mackson Ncube (2023). npboottprm: Nonparametric Bootstrap Test with Pooled Resampling. R package version 0.2.1, https://cran.r-project.org/web/packages/npboottprm
Previous versions and publish date:
0.1.0 (2023-08-08 16:10), 0.2.0 (2023-11-25 19:00)
Other packages that cited npboottprm R package
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Other R packages that npboottprm depends, imports, suggests or enhances
Functions, R codes and Examples using the npboottprm R package
Some associated functions: appendInputParams . bootstrap_f_sample . bootstrap_pt_sample . bootstrap_t_sample . data_f . data_f_id . data_f_mi . data_pt . data_pt_id . data_pt_mi . data_t . data_t_mi . getCellBlocks . getUIParams . handle_null . nonparboot . nonparboot_app . remove_na . replext . replext_t2_c1.1 . replext_t2_c1.2 . replext_t2_c2.1 . replext_t2_c2.2 . replext_t2_c3.1 . replext_t2_c3.2 . replext_t2_c4.1 . replext_t2_c4.2 . replext_t3_c1.1 . replext_t3_c1.2 . replext_t3_c2.1 . replext_t3_c2.2 . replext_t3_c3.1 . replext_t3_c3.2 . replext_t3_c4.1 . replext_t3_c4.2 . replext_t3_c5.1 . replext_t3_c5.2 . replext_t4_c1.1 . replext_t4_c2.1 . replext_t4_c3.1 . replext_t4_c4.1 . replext_t4_c5.1 . replext_t4_c6.1 . replext_t4_c7.1 . replext_t5_c1.1 . replext_t5_c1.2 . replext_t5_c1.3 . replext_t5_c2.1 . replext_t5_c2.2 . replext_t5_c2.3 . replext_t6_c1.1 . replext_t6_c1.2 . replext_t6_c1.3 . replext_t6_c2.1 . replext_t6_c2.2 . replext_t6_c2.3 . replext_ts1_c1.1 . replext_ts1_c2.1 . replext_ts1_c3.1 . replext_ts2_c1.1 . replext_ts2_c1.2 . replext_ts2_c2.1 . replext_ts2_c2.2 . replext_ts2_c3.1 . replext_ts2_c3.2 . replext_ts2_c4.1 . replext_ts2_c4.2 . replext_ts3_c1.1 . replext_ts3_c1.2 . replext_ts3_c2.1 . replext_ts3_c2.2 . replext_ts3_c3.1 . replext_ts3_c3.2 . replext_ts3_c4.1 . replext_ts3_c4.2 . runSimulation . text_to_char_vector . text_to_vector . 
Some associated R codes: app.R . data.R . globals.R . nonparboot.R . replext.R . replext_helpers.R . replext_t2.R . replext_t3.R . replext_t4.R . replext_t5.R . replext_t6.R . replext_ts1.R . replext_ts2.R . replext_ts3.R .  Full npboottprm package functions and examples
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