Other packages > Find by keyword >

lsasim  

Functions to Facilitate the Simulation of Large Scale Assessment Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lsasim", "2.1.6")



Attach the package and use:
library("lsasim")
Maintained by
Waldir Leoncio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-23
Latest Update: 2025-01-22
Description:
Provides functions to simulate data from large-scale educational assessments, including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design. The theoretical foundation can be found on Matta, T.H., Rutkowski, L., Rutkowski, D. et al. (2018) .
How to cite:
Waldir Leoncio (2017). lsasim: Functions to Facilitate the Simulation of Large Scale Assessment Data. R package version 2.1.6, https://cran.r-project.org/web/packages/lsasim. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:54), 1.0.0 (2017-02-23 11:14), 1.0.1 (2017-05-10 11:34), 2.0.0 (2019-09-13 00:40), 2.0.1 (2019-12-05 21:30), 2.0.2 (2020-09-10 16:10), 2.1.0 (2021-06-23 09:10), 2.1.1 (2021-06-24 11:30), 2.1.2 (2021-11-10 01:30), 2.1.3 (2023-03-28 13:10), 2.1.4 (2023-08-22 15:00), 2.1.5 (2024-05-06 14:30)
Other packages that cited lsasim R package
View lsasim citation profile
Other R packages that lsasim depends, imports, suggests or enhances
Complete documentation for lsasim
Functions, R codes and Examples using the lsasim R package
Some associated functions: anova.lsasimcluster . attribute_cluster_labels . beta_gen . block_design . booklet_design . booklet_sample . brr . calc_n_tilde . calc_replicate_weights . calc_se_rho . calc_var_between . calc_var_tot . calc_var_within . check_condition . check_ignored_parameters . check_n_N_class . check_valid_structure . cluster_gen . cluster_gen_separate . cluster_gen_together . cluster_message . convert_vector_to_list . cor_gen . cov_gen . cov_yfz_gen . cov_yxw_gen . cov_yxz_gen . customize_summary . dot-onAttach . draw_cluster_structure . gen_X_W_cluster . gen_cat_prop . gen_variable_n . intraclass_cor . irt_gen . item_gen . jackknife . label_respondents . lambda_gen . lsasim . pisa2012_math_block . pisa2012_math_booklet . pisa2012_math_item . pisa2012_q_cormat . pisa2012_q_marginal . pluralize . print_anova . proportion_gen . pt_bis_conversion . questionnaire_gen . questionnaire_gen_family . questionnaire_gen_polychoric . ranges . recalc_final_weights . replicate_var . response_gen . rzeropois . sample_from . sample_within_range . select . split_cat_prop . summary.lsasimcluster . summary_2 . trim_sample . validate_questionnaire_gen . weight_responses . whitelist_message . 
Some associated R codes: anova.R . attribute_cluster_labels.R . beta_gen.R . beta_gen_auxiliaryFunctions.R . block_design.R . booklet_design.R . booklet_sample.R . brr.R . calc_n_tilde.R . calc_replicate_weights.R . calc_se_rho.R . calc_var_between.R . calc_var_tot.R . calc_var_within.R . check_condition.R . check_ignored_parameters.R . check_n_N_class.R . check_valid_structure.R . cluster_gen.R . cluster_gen_separate.R . cluster_gen_together.R . cluster_message.R . convert_vector_to_list.R . cor_gen.R . cov_gen.R . cov_yfz_gen.R . cov_yxw_gen.R . cov_yxz_gen.R . customize_summary.R . draw_cluster_structure.R . gen_X_W_cluster.R . gen_cat_prop.R . gen_variable_n.R . intraclass_cor.R . irt_gen.R . item_gen.R . jackknife.R . label_respondents.R . lambda_gen.R . lsasim.R . misc.R . pisa2012_math_block.R . pisa2012_math_booklet.R . pisa2012_math_item.R . pisa2012_q_cormat.R . pisa2012_q_marginal.R . pluralize.R . print_anova_table.R . proportion_gen.R . pt_bis_conversion.R . questionnaire_gen.R . questionnaire_gen_family.R . questionnaire_gen_polychoric.R . ranges.R . recalc_final_weights.R . replicate_var.R . response_gen.R . rzeropois.R . sample_from.R . sample_within_range.R . select.R . split_cat_prop.R . summary.R . summary_2.R . trim_sample.R . validate.R . weight_responses.R . whitelist_message.R .  Full lsasim package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA