Last data update: 2014.03.03

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Results 1 - 10 of 48 found.
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bootstrap_lm_basic (Package: LMest) : Parametric bootstrap for the basic LM model

Function that performs bootstrap parametric resampling to compute standard errors for the parameter estimates.
● Data Source: CranContrib
● Keywords:
● Alias: bootstrap_lm_basic
● 0 images

draw_lm_basic (Package: LMest) : Draw samples from the basic LM model

Function that draws samples from the basic LM model with specific parameters.
● Data Source: CranContrib
● Keywords:
● Alias: draw_lm_basic
● 0 images

lk_obs_mixed (Package: LMest) : Compute the observable log-likelihood of the mixed LM model

Function that computes the observable log-likelihood of the mixed LM model with discrete random effect in the latent model (internal use).
● Data Source: CranContrib
● Keywords:
● Alias: lk_obs_mixed
● 0 images

summary.LMbasic (Package: LMest) : Print the output of LMbasic object

Given the output from LMbasic, it is written in a readable form
● Data Source: CranContrib
● Keywords:
● Alias: summary.LMbasic
● 0 images

draw_lm_mixed (Package: LMest) : Draws samples from the mixed LM model

Function that draws samples from the mixed LM model with specific parameters.
● Data Source: CranContrib
● Keywords:
● Alias: draw_lm_mixed
● 0 images

summary.LMlatent (Package: LMest) : Print the output of LMlatent object

Given the output from LMlatent, it is written in a readable form
● Data Source: CranContrib
● Keywords:
● Alias: summary.LMlatent
● 0 images

prod_array (Package: LMest) : Compute the product of array and vector

Function that compute the product of each matrix in X by the vector y (internal funtion).
● Data Source: CranContrib
● Keywords:
● Alias: prod_array
● 0 images

marg_param (Package: LMest) : Compute marginal parametrization

Function that creates matrices C and M for the marginal parametrization of the probability vector for a vector of categorical variables
● Data Source: CranContrib
● Keywords:
● Alias: marg_param
● 0 images

lk_comp_latent (Package: LMest) : Complete log-likelihood of the latent Markov model with covariates

Function that computes complete log-likelihood of the latent Markov model with covariates in the distribution of the latent process (internal use).
● Data Source: CranContrib
● Keywords:
● Alias: lk_comp_latent
● 0 images

blkdiag (Package: LMest) : Build a block diagonal matrix.

Function to build a block diagonal matrix (internal function).
● Data Source: CranContrib
● Keywords:
● Alias: blkdiag
● 0 images