Last updated on 2024-05-02 00:59:34 CEST.
Package | NOTE | OK |
---|---|---|
CMAPSS | 12 | |
hhsmm | 6 | 7 |
Current CRAN status: NOTE: 12
Version: 0.1.1
Check: Rd files
Result: NOTE
checkRd: (-1) CMAPSS.Rd:10: Lost braces
10 | \item \code{train}{ a list of class "hhsmm.data" as the train dataset}
| ^
checkRd: (-1) CMAPSS.Rd:11: Lost braces
11 | \item \code{test}{ a list of class "hhsmm.data" as the test dataset}
| ^
checkRd: (-1) CMAPSS.Rd:12: Lost braces
12 | \item \code{subsets}{ a matrix containig the number of units in each subset of the CMAPSS data set (FD001-FD004) for the train and test datasets}
| ^
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-windows-x86_64
Version: 0.1.1
Check: installed package size
Result: NOTE
installed size is 5.3Mb
sub-directories of 1Mb or more:
data 5.2Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-x86_64, r-release-macos-arm64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 0.1.1
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘Rdpack’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Current CRAN status: NOTE: 6, OK: 7
Version: 0.3.6
Check: Rd files
Result: NOTE
checkRd: (-1) additive_reg_mstep.Rd:20: Lost braces
20 | \item \code{K}{ the degrees of freedom for the B-spline, default is \code{K=5}}
| ^
checkRd: (-1) additive_reg_mstep.Rd:21: Lost braces
21 | \item \code{lambda0}{ the initial value of the smoothing parameter, default is \code{lambda0=0.01}}
| ^
checkRd: (-1) additive_reg_mstep.Rd:22-24: Lost braces
22 | \item \code{resp.ind}{ a vector of the column numbers of \code{x} which contain response variables.
| ^
checkRd: (-1) cov.miss.mix.wt.Rd:38: Lost braces
38 | \item \code{"unbiased"}{ the unbiased estimator is given}
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checkRd: (-1) cov.miss.mix.wt.Rd:39: Lost braces
39 | \item \code{"ML"}{ the maximum likelihood estimator is given}
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checkRd: (-1) cov.miss.mix.wt.Rd:45: Lost braces
45 | \item \code{center}{ the weighted mean of \code{x}}
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checkRd: (-1) cov.miss.mix.wt.Rd:46: Lost braces
46 | \item \code{cov}{ the weighted covariance of \code{x}}
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checkRd: (-1) cov.miss.mix.wt.Rd:47: Lost braces
47 | \item \code{n.obs}{ the number of observations in \code{x}}
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checkRd: (-1) cov.miss.mix.wt.Rd:48-49: Lost braces
48 | \item \code{cor}{ the weighted correlation of \code{x},
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checkRd: (-1) cov.miss.mix.wt.Rd:50: Lost braces
50 | \item \code{wt1}{ the state weighs \code{wt1}}
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checkRd: (-1) cov.miss.mix.wt.Rd:51: Lost braces
51 | \item \code{wt2}{ the mixture component weights \code{wt2}}
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checkRd: (-1) cov.miss.mix.wt.Rd:52: Lost braces
52 | \item \code{pmix}{ the estimated mixture proportions}
| ^
checkRd: (-1) cov.mix.wt.Rd:32: Lost braces
32 | \item \code{"unbiased"}{ the unbiased estimator is given}
| ^
checkRd: (-1) cov.mix.wt.Rd:33: Lost braces
33 | \item \code{"ML"}{ the maximum likelihood estimator is given}
| ^
checkRd: (-1) cov.mix.wt.Rd:39: Lost braces
39 | \item \code{center}{ the weighted mean of \code{x}}
| ^
checkRd: (-1) cov.mix.wt.Rd:40: Lost braces
40 | \item \code{cov}{ the weighted covariance of \code{x}}
| ^
checkRd: (-1) cov.mix.wt.Rd:41: Lost braces
41 | \item \code{n.obs}{ the number of observations in \code{x}}
| ^
checkRd: (-1) cov.mix.wt.Rd:42-43: Lost braces
42 | \item \code{cor}{ the weighted correlation of \code{x},
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checkRd: (-1) cov.mix.wt.Rd:44: Lost braces
44 | \item \code{wt1}{ the state weighs \code{wt1}}
| ^
checkRd: (-1) cov.mix.wt.Rd:45: Lost braces
45 | \item \code{wt2}{ the mixture component weights \code{wt2}}
| ^
checkRd: (-1) cov.mix.wt.Rd:46: Lost braces
46 | \item \code{pmix}{ the estimated mixture proportions}
| ^
checkRd: (-1) dnorm_additive_reg.Rd:21: Lost braces
21 | \item \code{K}{ the degrees of freedom for the B-spline, default is \code{K=5}}
| ^
checkRd: (-1) dnorm_additive_reg.Rd:22-24: Lost braces
22 | \item \code{resp.ind}{ a vector of the column numbers of \code{x} which contain response variables.
| ^
checkRd: (-1) hhsmmfit.Rd:31: Lost braces
31 | \item \code{maxit}{ the maximum number of iterations for the EM algorithm}
| ^
checkRd: (-1) hhsmmfit.Rd:32: Lost braces
32 | \item \code{lock.transition}{ logical. if TRUE the transition matrix will not be updated through the EM algorithm}
| ^
checkRd: (-1) hhsmmfit.Rd:33: Lost braces
33 | \item \code{lock.d}{ logical. if TRUE the sojourn probability matrix d will not be updated through the EM algorithm}
| ^
checkRd: (-1) hhsmmfit.Rd:34: Lost braces
34 | \item \code{lock.init}{ logical. if TRUE the initial probability vector will not be updated through the EM algorithm}
| ^
checkRd: (-1) hhsmmfit.Rd:35: Lost braces
35 | \item \code{graphical}{ logical. if TRUE a plot of the sojourn probabilities will be plotted through the EM algorithm}
| ^
checkRd: (-1) hhsmmfit.Rd:36: Lost braces
36 | \item \code{verbose}{ logical. if TRUE the outputs will be printed}
| ^
checkRd: (-1) hhsmmfit.Rd:42: Lost braces
42 | \item \code{loglike}{ the log-likelihood of the fitted model}
| ^
checkRd: (-1) hhsmmfit.Rd:43: Lost braces
43 | \item \code{AIC}{ the Akaike information criterion of the fitted model}
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checkRd: (-1) hhsmmfit.Rd:44: Lost braces
44 | \item \code{BIC}{ the Bayesian information criterion of the fitted model}
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checkRd: (-1) hhsmmfit.Rd:45: Lost braces
45 | \item \code{model}{ the fitted model}
| ^
checkRd: (-1) hhsmmfit.Rd:46: Lost braces
46 | \item \code{estep_variables}{ the E step (forward-backward) probabilities of the final iteration of the EM algorithm}
| ^
checkRd: (-1) hhsmmfit.Rd:47: Lost braces
47 | \item \code{M}{ the maximum duration in each state}
| ^
checkRd: (-1) hhsmmfit.Rd:48: Lost braces
48 | \item \code{J}{ the number of states}
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checkRd: (-1) hhsmmfit.Rd:49: Lost braces
49 | \item \code{NN}{ the vector of sequence lengths}
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checkRd: (-1) hhsmmfit.Rd:50: Lost braces
50 | \item \code{f}{ the emission probability density function}
| ^
checkRd: (-1) hhsmmfit.Rd:51: Lost braces
51 | \item \code{mstep}{ the M step function of the EM algorithm}
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checkRd: (-1) hhsmmfit.Rd:52: Lost braces
52 | \item \code{yhat}{ the estimated sequence of states}
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checkRd: (-1) initial_cluster.Rd:52: Lost braces
52 | \item \code{clust.X}{ a list of clustered observations for each sequence and state}
| ^
checkRd: (-1) initial_cluster.Rd:53: Lost braces
53 | \item \code{mix.clus}{ a list of the clusters for the mixtures for each state}
| ^
checkRd: (-1) initial_cluster.Rd:54: Lost braces
54 | \item \code{state.clus}{ the exact state clusters of each observation (available if \code{ltr}=FALSE)}
| ^
checkRd: (-1) initial_cluster.Rd:55: Lost braces
55 | \item \code{nmix}{ the number of mixture components (a vector of positive (non-zero) integers of length \code{nstate})}
| ^
checkRd: (-1) initial_cluster.Rd:56: Lost braces
56 | \item \code{ltr}{ logical. if TRUE a left to right hidden hybrid Markov/semi-Markov model is assumed}
| ^
checkRd: (-1) initial_cluster.Rd:57: Lost braces
57 | \item \code{final.absorb}{ logical. if TRUE the final state of the sequence is assumed to be the absorbance state}
| ^
checkRd: (-1) initial_cluster.Rd:58-59: Lost braces
58 | \item \code{miss}{ logical. if TRUE the \code{train$x} matrix contains missing
| ^
checkRd: (-1) initial_estimate.Rd:21: Lost braces
21 | \item \code{emission}{ list the estimated parameterers of the emission distribution}
| ^
checkRd: (-1) initial_estimate.Rd:22: Lost braces
22 | \item \code{leng}{ list of waiting times in each state for each sequence}
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checkRd: (-1) initial_estimate.Rd:23: Lost braces
23 | \item \code{clusters}{ the exact clusters of each observation (available if \code{ltr}=FALSE)}
| ^
checkRd: (-1) initial_estimate.Rd:24: Lost braces
24 | \item \code{nmix}{ the number of mixture components (a vector of positive (non-zero) integers of length \code{nstate})}
| ^
checkRd: (-1) initial_estimate.Rd:25: Lost braces
25 | \item \code{ltr}{ logical. if TRUE a left to right hidden hybrid Markovian/semi-Markovianmodel is assumed}
| ^
checkRd: (-1) initialize_model.Rd:31: Lost braces
31 | \item \code{"nonparametric"}{ non-parametric sojourn distribution}
| ^
checkRd: (-1) initialize_model.Rd:32: Lost braces
32 | \item \code{"nbinom"}{ negative binomial sojourn distribution}
| ^
checkRd: (-1) initialize_model.Rd:33: Lost braces
33 | \item \code{"logarithmic"}{ logarithmic sojourn distribution}
| ^
checkRd: (-1) initialize_model.Rd:34: Lost braces
34 | \item \code{"poisson"}{ poisson sojourn distribution}
| ^
checkRd: (-1) initialize_model.Rd:35: Lost braces
35 | \item \code{"gamma"}{ gamma sojourn distribution}
| ^
checkRd: (-1) initialize_model.Rd:36: Lost braces
36 | \item \code{"weibull"}{ weibull sojourn distribution}
| ^
checkRd: (-1) initialize_model.Rd:37: Lost braces
37 | \item \code{"lnorm"}{ log-normal sojourn distribution}
| ^
checkRd: (-1) initialize_model.Rd:38: Lost braces
38 | \item \code{"auto"}{automatic determination of the sojourn distribution using the chi-square test}
| ^
checkRd: (-1) initialize_model.Rd:46-47: Lost braces
46 | \item \code{NULL}{ if \code{ltr}=TRUE then \code{semi = c(rep(TRUE,nstate-1),FALSE)}, else
| ^
checkRd: (-1) initialize_model.Rd:60: Lost braces
60 | \item \code{init}{ initial probabilities of states}
| ^
checkRd: (-1) initialize_model.Rd:61: Lost braces
61 | \item \code{transition}{ transition matrix}
| ^
checkRd: (-1) initialize_model.Rd:62: Lost braces
62 | \item \code{parms.emission}{ parameters of the mixture normal emission (\code{mu}, \code{sigma}, \code{mix.p})}
| ^
checkRd: (-1) initialize_model.Rd:63: Lost braces
63 | \item \code{sojourn}{ list of sojourn time distribution parameters and its \code{type}}
| ^
checkRd: (-1) initialize_model.Rd:64: Lost braces
64 | \item \code{dens.emission}{ the emission probability density function}
| ^
checkRd: (-1) initialize_model.Rd:65: Lost braces
65 | \item \code{mstep}{ the M step function of the EM algorithm}
| ^
checkRd: (-1) initialize_model.Rd:66: Lost braces
66 | \item \code{semi}{ a logical vector of length nstate with the TRUE associated states are considered as semi-Markovian}
| ^
checkRd: (-1) make_model.Rd:28-29: Lost braces
28 | \item \code{NULL}{ if \code{ltr}=TRUE then \code{semi = c(rep(TRUE,nstate-1),FALSE)}, else
| ^
checkRd: (-1) make_model.Rd:36: Lost braces
36 | \item \code{"nonparametric"}{ non-parametric sojourn distribution}
| ^
checkRd: (-1) make_model.Rd:37: Lost braces
37 | \item \code{"nbinom"}{ negative binomial sojourn distribution}
| ^
checkRd: (-1) make_model.Rd:38: Lost braces
38 | \item \code{"logarithmic"}{ logarithmic sojourn distribution}
| ^
checkRd: (-1) make_model.Rd:39: Lost braces
39 | \item \code{"poisson"}{ poisson sojourn distribution}
| ^
checkRd: (-1) make_model.Rd:40: Lost braces
40 | \item \code{"gamma"}{ gamma sojourn distribution}
| ^
checkRd: (-1) make_model.Rd:41: Lost braces
41 | \item \code{"weibull"}{ weibull sojourn distribution}
| ^
checkRd: (-1) make_model.Rd:42: Lost braces
42 | \item \code{"lnorm"}{ log-normal sojourn distribution}
| ^
checkRd: (-1) make_model.Rd:43: Lost braces
43 | \item \code{"auto"}{ automatic determination of the sojourn distribution using the chi-square test}
| ^
checkRd: (-1) make_model.Rd:49: Lost braces
49 | \item \code{init}{ initial probabilities of states}
| ^
checkRd: (-1) make_model.Rd:50: Lost braces
50 | \item \code{transition}{ transition matrix}
| ^
checkRd: (-1) make_model.Rd:51: Lost braces
51 | \item \code{parms.emission}{ parameters of the mixture normal emission (\code{mu}, \code{sigma}, \code{mix.p})}
| ^
checkRd: (-1) make_model.Rd:52: Lost braces
52 | \item \code{sojourn}{ list of sojourn distribution parameters and its \code{type}}
| ^
checkRd: (-1) make_model.Rd:53: Lost braces
53 | \item \code{dens.emission}{ the emission probability density function}
| ^
checkRd: (-1) make_model.Rd:54: Lost braces
54 | \item \code{mstep}{ the M step function of the EM algorithm}
| ^
checkRd: (-1) make_model.Rd:55: Lost braces
55 | \item \code{semi}{ a logical vector of length nstate with the TRUE associated states are considered as semi-Markovian}
| ^
checkRd: (-1) nonpar_mstep.Rd:20: Lost braces
20 | \item \code{K}{ the degrees of freedom for the B-spline, default is \code{K=5}}
| ^
checkRd: (-1) nonpar_mstep.Rd:21: Lost braces
21 | \item \code{lambda0}{ the initial value of the smoothing parameter, default is \code{lambda0=0.5}}
| ^
checkRd: (-1) predict.hhsmm.Rd:28: Lost braces
28 | \item \code{"viterbi"}{ (default) uses the Viterbi algorithm for prediction}
| ^
checkRd: (-1) predict.hhsmm.Rd:29: Lost braces
29 | \item \code{"smoothing"}{ uses the smoothing algorithm for prediction}
| ^
checkRd: (-1) predict.hhsmm.Rd:37-38: Lost braces
37 | \item \code{"max"}{ (default) the maximum probability as the point predict and the high probability critical
| ^
checkRd: (-1) predict.hhsmm.Rd:39-40: Lost braces
39 | \item \code{"mean"}{ the mean value as the point predict and the normal confidence lower and upper bounds as the
| ^
checkRd: (-1) predict.hhsmm.Rd:50: Lost braces
50 | \item \code{x}{ the observation sequence}
| ^
checkRd: (-1) predict.hhsmm.Rd:51: Lost braces
51 | \item \code{s}{ the predicted state sequence}
| ^
checkRd: (-1) predict.hhsmm.Rd:52: Lost braces
52 | \item \code{N}{ the vector of sequence lengths}
| ^
checkRd: (-1) predict.hhsmm.Rd:53: Lost braces
53 | \item \code{p}{ the state probabilities }
| ^
checkRd: (-1) predict.hhsmm.Rd:54: Lost braces
54 | \item \code{RUL}{ the point predicts of the RUL}
| ^
checkRd: (-1) predict.hhsmm.Rd:55: Lost braces
55 | \item \code{RUL.low}{ the lower bounds for the prediction intervals of the RUL}
| ^
checkRd: (-1) predict.hhsmm.Rd:56: Lost braces
56 | \item \code{RUL.up}{ the upper bounds for the prediction intervals of the RUL}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:16: Lost braces
16 | \item \code{"viterbi"}{ (default) uses the Viterbi algorithm for prediction}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:17: Lost braces
17 | \item \code{"smoothing"}{ uses the smoothing algorithm for prediction}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:27: Lost braces
27 | \item \code{x}{ the observation sequence}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:28: Lost braces
28 | \item \code{s}{ the predicted state sequence}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:29: Lost braces
29 | \item \code{N}{ the vector of sequence lengths}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:30: Lost braces
30 | \item \code{p}{ the state probabilities }
| ^
checkRd: (-1) predict.hhsmmspec.Rd:31: Lost braces
31 | \item \code{RUL}{ the point predicts of the RUL}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:32: Lost braces
32 | \item \code{RUL.low}{ the lower bounds for the prediction intervals of the RUL}
| ^
checkRd: (-1) predict.hhsmmspec.Rd:33: Lost braces
33 | \item \code{RUL.up}{ the upper bounds for the prediction intervals of the RUL}
| ^
checkRd: (-1) raddreg.Rd:16: Lost braces
16 | \item \code{mean}{ the mean vector of covariates (to be generated from multivariate normal distribution)}
| ^
checkRd: (-1) raddreg.Rd:17: Lost braces
17 | \item \code{cov}{ the variance-covariance matrix of covariates (to be generated from multivariate normal distribution)}
| ^
checkRd: (-1) rmixlm.Rd:16: Lost braces
16 | \item \code{mean}{ the mean vector of covariates (to be generated from multivariate normal distribution)}
| ^
checkRd: (-1) rmixlm.Rd:17: Lost braces
17 | \item \code{cov}{ the variance-covariance matrix of covariates (to be generated from multivariate normal distribution)}
| ^
checkRd: (-1) simulate.hhsmmspec.Rd:31-32: Lost braces
31 | \item \code{autoregress}{ logical. if TRUE the auto-regressive data generation will be considered with
| ^
checkRd: (-1) simulate.hhsmmspec.Rd:33-34: Lost braces
33 | \item \code{lags}{ a positive integer which is the number of lags to be considered for the
| ^
checkRd: (-1) simulate.hhsmmspec.Rd:35-39: Lost braces
35 | \item \code{start}{ a list containing the items \code{mean} which is the mean vector
| ^
checkRd: (-1) simulate.hhsmmspec.Rd:45: Lost braces
45 | \item \code{s}{ the vector of states}
| ^
checkRd: (-1) simulate.hhsmmspec.Rd:46: Lost braces
46 | \item \code{x}{ observation matrix}
| ^
checkRd: (-1) simulate.hhsmmspec.Rd:47: Lost braces
47 | \item\code{N}{ vector of sequence lengths}
| ^
checkRd: (-1) train_test_split.Rd:25: Lost braces
25 | \item\code{train}{ the randomly selected subset of train data of class \code{"hhsmmdata"}}
| ^
checkRd: (-1) train_test_split.Rd:26: Lost braces
26 | \item\code{test}{ the randomly selected subset of test data of class \code{"hhsmmdata"}}
| ^
checkRd: (-1) train_test_split.Rd:27: Lost braces
27 | \item\code{trimmed}{ right trimmed test subset, if \code{trim}=TRUE, with trim ratios equal to \code{trim.ratio} }
| ^
checkRd: (-1) train_test_split.Rd:28: Lost braces
28 | \item\code{trimmed.count}{ the number of right trimmed individuals in each sequence of the test subset, if \code{trim}=TRUE }
| ^
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