findintercorr2
.method
= “Fleishman”.calc_theory()
and plotting functions which call it to permit pdf specified by fx
, lower
, and upper
.rcorrvar()
and rcorrvar2()
summary of continuous variables when using method = "Fleishman"
.rcorrvar()
, rcorrvar2()
, valid_corr()
, valid_corr2()
, and error_loop()
to permit 0 or 1 continuous variables.calc_lower_skurt()
for case of non-convergence when applying Six
vector with method = "Polynomial"
.lower
and upper
parameters to plot_cdf()
to use as inputs for cdf_prob()
.findintercorr2()
so now you can generate 1 ordinal variable using correlation method 2 (with rcorrvar2()
).chat_nb()
so you can use size
(success probability) and mu
(mean) parameters for Negative Binomial variables when using correlation method 1 (with rcorrvar1()
).find_constants()
and calc_lower_skurt()
(to remove duplicate rows in solutions before executing pdf_check()
) in order to decrease computation time.rcorrvar()
, rcorrvar2()
, valid_corr()
, and valid_corr2()
to check for identical continuous distributions before calculating the power method constants in order to decrease computation time. If a distribution is repeated, the constants are only calculated once.error_loop()
and error_vars()
:Sigma
is done using the maximum of 0 and the eigenvalues (in case Sigma
is not positive-definite and the eigenvalues are negative); this replaces the use of Matrix::nearPD()
ifelse()
statement in choice of update function (affects negative correlations only)ifelse()
statement in choice of update function for ordnorm()
(affects negative correlations only).calc_theory()
:params
input accepts up to 4 parametersDist
input)plot_pdf_theory()
, plot_sim_pdf_theory()
, and plot_sim_theory()
:params
input accepts up to 4 parametersDist
input) plus Poisson and Negative Binomial for plot_sim_pdf_theory()
and plot_sim_theory()
ggplot2
parameters to the graphing functions to allow control over the appearance of the legend, axes labels and titles, and plot title.rcorrvar()
and rcorrvar2()
documentation.Initial package release.