step()
R version of JAGS function.ilog()
.inv_logit()
.inv_odds()
and odds()<-
.odds_ratio2()
and log_odds_ratio2()
.proportional_change()
,
proportional_difference()
.ran_pois_zi()
, log_lik_pois_zi()
,
res_pois_zi()
and dev_pois_zi()
.pzeros()
to calculate proportion of zeros in a numeric
object.res_xx()
functions now return data (actual or
simulated) if type = 'data'
.ran_xx()
(random samples)log_lik_xx()
(log-likelihood)dev_xx()
(deviances)res_xx()
(residuals)for the following distributions - _bern
, (Bernoulli), -
_binom
(binomial) - _pois
(Poisson) -
_norm
(normal) - _lnorm
(log-normal) -
_gamma
(gamma) - _gamma_pois
(gamma-Poisson)
odds()
, odd_ratio()
and
log_odds_ratio()
to calculate odds, odds ratio and log odds
ratio.xtr_mean()
,
xtr_sd()
, variance()
, skewness()
and kurtosis()
.xtr_median()
to calculate the median.invlogit()
to calculate the inverse logistic
transform.fabs()
to calculate the absolute value of x. Used
in TMB as replacement for abs()
.zeros()
function to sum number of 0 values in a
numeric (or MCMC object).threshold = 0
argument to pvalue()
and svalue()
.na_rm = FALSE
argument to lower()
,
upper()
, pvalue()
, svalue()
and
zscore()
.as_list_unnamed()
for
as_list()
.pextreme()
and
sextreme()
.chk_indices()
and vld_indices()
to
check (validate) if an object is a list of indices ie a vector of one or
more positive integer values.par_pattern()
to provide string of regular
expression for a parameter name.as_list_unnamed()
generic which by default strips
all attributes except names.chk_pars()
and vld_pars()
to
permit missing values and duplicates.