A C D F G K L M N O P Q R S T U V Z misc
add1.fmx | Drop or Add One Parameter from fmx Object |
approxdens | Empirical Density Function |
as.fmx | Turn Various Objects to fmx |
as.fmx.fitdist | Convert fitdist Objects to fmx Objects |
as.fmx.mixEM | Convert 'mixEM' Objects to fmx Objects |
as.fmx.Normal | Convert 'Normal' fit from 'mixsmsn' to fmx |
as.fmx.Skew.normal | Convert 'Skew.normal' fit from 'mixsmsn' to fmx |
as.fmx.Skew.t | Convert 'Skew.t' fit from 'mixsmsn' to fmx |
as.fmx.t | Convert 'Normal' fit from 'mixsmsn' to fmx |
autolayer_fmx_continuous | Create layer for Continuous fmx Objects |
autolayer_fmx_discrete | Create layer for Discrete fmx Objects |
autoplot.fmx | Plot fmx Objects using 'ggplot2' |
autoplot.fmxS | Plot fmxS Object |
CK5 | CK5 |
clusterList | Clustering Observations for Creation of fmx Object |
coef.fmx | Parameter Estimates of fmx object |
confint.fmx | Confidence Interval of fmx Object |
CramerVonMises_fmx | Diagnoses for fmx Estimates |
crossprod_inv | Inverse of X'X by QR Decomposition |
CycD1 | CycD1 |
dbl2fmx | Inverse of 'fmx2dbl()', for internal use |
dfmx | Density, Distribution and Quantile of Finite Mixture Distribution |
dGH | Tukey's g-&-h Distribution |
distArgs | Name(s) of Formal Argument(s) of Distribution |
distType | Distribution Type |
dist_logtrans | Distribution Parameters that needs to have a log-transformation |
drop1.fmx | Drop or Add One Parameter from fmx Object |
drop1_fmx | Drop or Add One Parameter from fmx Object |
duplicated_allequal | Determine Nearly-Equal Elements |
fmx | Create Finite Mixture Distribution |
fmx-class | Specification of fmx Class |
fmx2dbl | Reparameterization of fmx Object |
fmxS | fmxS: Multiple fmx objects |
fmxS-class | fmxS: Multiple fmx objects |
fmx_cluster | Naive Estimates of Finite Mixture Distribution via Clustering |
fmx_constraint | Parameter Constraint(s) of Mixture Distribution |
fmx_diagnosis | Diagnoses for fmx Estimates |
fmx_hybrid | Best Naive Estimates for Finite Mixture Distribution |
fmx_normix | Naive Estimates of Finite Mixture Distribution using Mixture of Normal |
geom_function_args | geom_function with Multiple Sets of Arguments |
getTeX | TeX Label (of Parameter Constraint(s)) of fmx Object |
Kolmogorov_dist | One-Sample Kolmogorov Distance |
Kolmogorov_fmx | Diagnoses for fmx Estimates |
KullbackLeibler_fmx | Diagnoses for fmx Estimates |
letterValue | Letter-Value Estimation of Tukey g-&-h Distribution |
letterV_B | Letter-Value Estimation of Tukey g-&-h Distribution |
letterV_B_g_h | Letter-Value Estimation of Tukey g-&-h Distribution |
letterV_B_h | Letter-Value Estimation of Tukey g-&-h Distribution |
letterV_g | Letter-Value Estimation of Tukey g-&-h Distribution |
logLik.fitdist | Log-Likelihood of fitdist Object |
logLik.fmx | Log-Likelihood of fmx Object |
logLik.mixEM | Log-Likelihood of "mixEM" Object |
mahalanobis_int | A Simpler and Faster Mahalanobis Distance |
mixEM_pars | Names of Distribution Parameters of "mixEM" Object |
mlogis | Multinomial Probabilities & Logits |
moment-class | Raw, Central and Standardized Moments, and other Distribution Characteristics |
moment_ | Raw, Central and Standardized Moments, and other Distribution Characteristics |
moment_.character | Raw, Central and Standardized Moments, and other Distribution Characteristics |
moment_.fmx | Raw, Central and Standardized Moments, and other Distribution Characteristics |
moment_GH | Raw, Central and Standardized Moments, and other Distribution Characteristics |
moment_norm | Raw, Central and Standardized Moments, and other Distribution Characteristics |
moment_sn | Raw, Central and Standardized Moments, and other Distribution Characteristics |
moment_st | Raw, Central and Standardized Moments, and other Distribution Characteristics |
nobs.fitdist | Number of Observations in fitdist Object |
nobs.fmx | Number of Observations in fmx Object |
npar.fmx | Number of Parameters of fmx Object |
outer_allequal | Test if Two double Vectors are Element-Wise (Nearly) Equal |
pfmx | Density, Distribution and Quantile of Finite Mixture Distribution |
pGH | Tukey's g-&-h Distribution |
pmlogis_first | Multinomial Probabilities & Logits |
pmlogis_last | Multinomial Probabilities & Logits |
print.fmx | S3 print of fmx Object |
qfmx | Density, Distribution and Quantile of Finite Mixture Distribution |
qGH | Tukey's g-&-h Distribution |
qGH2z | Tukey's g-&-h Distribution |
QLMDe | Quantile Least Mahalanobis Distance estimates |
QLMDe_stepK | Forward Selection of the Number of Components K |
QLMDp | Percentages for Quantile Least Mahalanobis Distance estimation |
qmlogis_first | Multinomial Probabilities & Logits |
qmlogis_last | Multinomial Probabilities & Logits |
quantile_vcov | Variance-Covariance of Quantiles |
reAssign | Re-Assign Observations Trimmed Prior to Trimmed k-Means Clustering |
reAssign.tkmeans | Re-Assign Observations Trimmed Prior to Trimmed k-Means Clustering |
rfmx | Density, Distribution and Quantile of Finite Mixture Distribution |
rGH | Tukey's g-&-h Distribution |
show-method | Show fmx Object |
show-method | Show moment |
sort.mixEM | Sort "mixEM" Object by First Parameters |
sort.Normal | Sort Objects from 'mixsmsn' by Location Parameters |
sort.Skew.normal | Sort Objects from 'mixsmsn' by Location Parameters |
sort.Skew.t | Sort Objects from 'mixsmsn' by Location Parameters |
sort.t | Sort Objects from 'mixsmsn' by Location Parameters |
sort_mixsmsn | Sort Objects from 'mixsmsn' by Location Parameters |
step_fmx | Forward Selection of gh-parsimonious Model with Fixed Number of Components K |
TukeyGH | Tukey's g-&-h Distribution |
ud_allequal | Determine Nearly-Equal Elements |
unique_allequal | Determine Nearly-Equal Elements |
user_constraint | Formalize User-Specified Constraint of fmx Object |
vcov.fmx | Variance-Covariance of fmx Object |
vuniroot2 | Vectorised One Dimensional Root (Zero) Finding |
z2qGH | Tukey's g-&-h Distribution |
[-method | Subset of Components in fmx Object |