Easy-to-Use Tools for Common Forms of Random Assignment and Sampling


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Documentation for package ‘randomizr’ version 1.0.0

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block_and_cluster_ra Blocked and Clustered Random Assignment
block_and_cluster_ra_probabilities probabilities of assignment: Blocked and Clustered Random Assignment
block_ra Block Random Assignment
block_ra_probabilities probabilities of assignment: Block Random Assignment
cluster_ra Cluster Random Assignment
cluster_ra_probabilities probabilities of assignment: Cluster Random Assignment
cluster_rs Cluster Random Sampling
cluster_rs_probabilities Inclusion Probabilities: Cluster Sampling
complete_ra Complete Random Assignment
complete_ra_probabilities probabilities of assignment: Complete Random Assignment
complete_rs Complete Random Sampling
complete_rs_probabilities Inclusion Probabilities: Complete Random Sampling
conduct_ra Conduct a random assignment
custom_ra Custom Random Assignment
custom_ra_probabilities probabilities of assignment: Custom Random Assignment
declare_ra Declare a random assignment procedure.
declare_rs Declare a random sampling procedure.
draw_rs Draw a random sample
obtain_condition_probabilities Obtain the probabilities of units being in the conditions that they are in.
obtain_inclusion_probabilities Obtain inclusion probabilities
obtain_num_permutations Obtain the Number of Possible Permutations from a Random Assignment Declaration
obtain_permutation_matrix Obtain Permutation Matrix from a Random Assignment Declaration
obtain_permutation_probabilities Obtain the probabilities of permutations
randomizr randomizr
simple_ra Simple Random Assignment
simple_ra_probabilities probabilities of assignment: Simple Random Assignment
simple_rs Simple Random Sampling
simple_rs_probabilities Inclusion Probabilities: Simple Random Sampling
strata_and_cluster_rs Stratified and Clustered Random Sampling
strata_and_cluster_rs_probabilities Inclusion Probabilities: Stratified and Clustered Random Sampling
strata_rs Stratified Random Sampling
strata_rs_probabilities Inclusion Probabilities: Stratified Random Sampling