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npboottprm
View on CRAN: Click
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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", "0.3.2")
Attach the package and use:
library("npboottprm")
Maintained by
Mackson Ncube
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.npboottprm . https://github.com/mightymetrika/npboottprm/issues . https://github.com/mightymetrika/npboottprm . npboottprm results . npboottprm.pdf . npboottprm_0.3.2.tar.gz . npboottprm_0.3.2.zip . npboottprm_0.3.2.zip . npboottprm_0.3.2.zip . npboottprm_0.3.2.tgz . npboottprm_0.3.2.tgz . npboottprm_0.3.2.tgz . npboottprm_0.3.2.tgz . npboottprm archive . npboottprmFBar . https://CRAN.R-project.org/package=npboottprm .
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 0.3.2, https://cran.r-project.org/web/packages/npboottprm. Accessed 08 May. 2025.
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Complete documentation for npboottprm
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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