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.